diff --git a/notebooks/test_notes/custom_fft_implemention_testing.ipynb b/notebooks/test_notes/custom_fft_implemention_testing.ipynb
index ca5ec78..f1476cf 100644
--- a/notebooks/test_notes/custom_fft_implemention_testing.ipynb
+++ b/notebooks/test_notes/custom_fft_implemention_testing.ipynb
@@ -16,34 +16,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 216,
    "metadata": {},
    "outputs": [],
    "source": [
     "fd = xa.load.from_dats()\n",
     "old = fd.load_all(directory='../../data/sample/single_dat_file/', legacy_fft=True, corrected_pad=True).isel(chirp_num=0).profile\n",
-    "new = fd.load_all(directory='../../data/sample/single_dat_file/', legacy_fft=False, kwargs_for_addProfileToDs={'crop_chirp_start':0,'crop_chirp_end':1}\n",
+    "new = fd.load_all(directory='../../data/sample/single_dat_file/', legacy_fft=False, addProfileToDs_kwargs={'crop_chirp_start':0,'crop_chirp_end':1}\n",
     "                  ).isel(chirp_num=0).profile\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 217,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x1477a3860>]"
+       "[<matplotlib.lines.Line2D at 0x3266e8e60>]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 217,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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z0Ucf8cQTT9ic4XJyryjs2bNnvn9vtWrVok2bNpddYqG4DRs2jNmzZ+ddYWmL06dPAzkF4LXkvte/M5vNpKWlFepYtWrVuux2JyenAn3n/jxc7vt9NW5ubri4uBTI+M8lRK63T2dn58v+bDk7OxfqWMHBwYWaYnCt34e5X7cr/VwU5ef/ep08eZKffvqpwO+RXIVdSqQyUQElheLn5wfA999/n28ycGHFxcVRv379QrVdvXp1oeab/P777wwcOJDw8HAWLlx42UvcW7Vqxfbt2wtsz932zzVyjhw5Qrdu3TAMgz/++KNQH1C5cv/K37dvHyEhIdx2221XHHWzNVdh/PNYuV/v3LlP27dvp1OnTnn7ExMTSUpKKtSxDMMo0qRpV1dXGjVqdMX36urqSoMGDa7aR2hoKA4ODuzbt8/m41/J5eae5Crqe7VV7gdxUY6VO7H+6NGj1K1bt1hz/dOVRkOys7M5c+ZMviIqd62wyxVt1yu3GPrnCFBpfrA3bNiwUCNVL7744lXXWMr9mdu+fXu+UbLcbUX5+b9efn5+tG7dmqlTp152f2FH1SoTFVDlWO4aH4X9S/J69OnTBycnJw4ePHjVIf0rKe5TeMuWLWPgwIHccMMNLFmy5Iprptxxxx088sgjbNq0Ka94yM7OZv78+XTq1CnfL4X4+Hi6deuGxWLhjz/+sLlQzD2N2ahRIyDnQ+RKHyS25Cqs3FGbf7rllltwcXFh7ty5+Qqo3EUzBw4ceNV+Dx8+zPr16+nZs6fNmSDnvb799tskJCTkfdhfuHCBRYsWcfvtt19z0v2aNWuwWq15X9fi0KlTJ+rUqcOyZcuwWCx5o1DHjx9n27Zt+dazKilffPEFAJ07d7b5tb1798bR0ZEPPvgg35Wcpe2rr77isccey3v+9ddfA5TIIr5BQUEA/PXXX/Tp0ydv+48//ljsx7qS4jqFV7t2bTp27Mj8+fOZMGFC3r+/jRs3snfvXh5//PHiiGuTW2+9lV9//ZWGDRsW+crUykYFVDmWO7LwzjvvMGLECKpUqULTpk3x9PQs9mMFBQXx0ksv8dxzz3Ho0CFuueUWfHx8OHnyJJs3b8bd3Z0pU6Zc8fXOzs5X/IC31bp16xg4cCD+/v48++yzBeZyBAcH5y3iOHLkSN577z0GDRrEjBkzqFGjBu+//z579+5lxYoVea85deoU3bt358SJE8yZM4dTp07lW8ahTp06eaNRL774IidPnuSmm26idu3anD9/nt9++41PPvmEQYMGXfOUmC25IGdULLf4PHjwIEDequtBQUHX/Lr6+vry/PPP88ILL+Dr65u3kObkyZN54IEH8s1r6NmzJzfddBOtW7fGy8uL7du389prr2EymXj55Zev+b4uZ8KECXz55Zf079+fl156CbPZzIwZM0hPT8/3V/rPP//MJ598wu23305gYCBZWVlER0fz9ttv06hRowJXFDk5OREeHp5v9fbU1FR+/fVXgLxTjmvWrCEpKQl3d3f69u0L5Iz6vPXWWwwePJgBAwbw8MMPc+nSJV5++WWcnZ2ZOHFisR3r66+/ZtGiRfTv35/AwEDOnz/Pd999xzfffENERARt2rTJdyyTyUR4ePhVV1APCgri2Wef5eWXXyYtLY177rkHb29vdu3aRVJS0lV/FouLs7Mzb7zxBhcvXqRDhw5s2LCBV155hb59+3LDDTcU+/H8/f3p2bMn06dPx8fHh8DAQFauXMmiRYuK/VhX8s8rWa/Hq6++Sq9evRg0aBCPPPIIp06d4plnnqFly5YFTv3nFo9xcXHFdvx/eumll1i+fDldunThscceo2nTpqSnpxMXF8evv/7Khx9+mPc7MPePmQMHDuS9/v7772fevHkcPHgw74/PL774gpEjR/LZZ59x3333lVh2u7HjBHYpBhMnTjQCAgIMBweHfFeoXOkqvH9eKZV7Zct3332Xb/uVFlRcsmSJ0b17d8PLy8swm81GYGCgcffddxsrVqwokfd3OblXmlzp8c+rdBITE4377rvP8PX1NVxcXIzOnTsby5cvz9cm9+twpcffr1b58ccfjZ49exo1a9Y0nJycDA8PD6Njx47Gu+++m29RvGspTC7D+N/34nKPESNGFPp477zzjtGkSRPD2dnZqFevnvHiiy8amZmZ+do8/vjjRnBwsOHp6Wk4OTkZAQEBxrBhw4y9e/desd9rLaRpGIZx4MABY+DAgYaXl5fh5uZm9OjRw4iJicnXZvfu3cbdd99tBAYGGi4uLoaLi4vRrFkz46mnnjLOnDlToE+gwJVFV7vaMzAwsEAfS5YsMTp06GC4uLgY3t7exu23337Zq42u51iRkZFGjx49DH9/f6NKlSqGm5ub0aFDB+P999/Pd0WsYeRc1QoYQ4YMueLX8u+++OKLvPweHh5GSEhIvqvRrrSQ5ogRI/JlvNpVeP+8oiv39e7u7sZff/1ldOvWzXB1dTV8fX2Nhx9++LIL0l5Nbl//lHv8vztx4oRx9913G76+voa3t7cxbNgwIzo6+rJX4V2uzyt9Pey10OmyZcuMzp07Gy4uLoavr69x3333XXYRTD8/P6Nz587X7O96rsIzjJxFih977DGjfv36RpUqVQxfX1+jffv2xnPPPZfv+xoYGFjg5yn3yse/XxWe+7vr79+bisRkGEVcdEdERIrVr7/+yq233sq2bduKdbSjuEVERPD9999z8eJFe0ep8Hbt2kWLFi34+eefC1wtLfalhTRFRMqI1atXM2TIkDJdPEnpWr16NWFhYSqeyiCNQImIiE0KMwJltVqvuSJ3YVbtFymrVECJiEixi4iIuOY95vTxI+WZCigRESl2cXFx11yjqbiuzBWxBxVQIiIiIjbSJHIRERERG2kGXxFYrVaOHz+Op6enXW76KCIiIrYzDIMLFy4QEBBw3bdsUgFVBMePHy/x+0+JiIhIyUhISLDpXqeXowKqCHJvlZKQkJB3yxAREREp21JSUqhbt26x3PJMBVQR5J628/LyUgElIiJSzhTH9BtNIhcRERGxkQooERERERupgBIRERGxkQooERERERtVyAIqIyODtm3bYjKZiI2NzbcvPj6e2267DXd3d/z8/HjsscfIzMy0T1AREREplyrkVXj/93//R0BAANu2bcu33WKx0L9/f6pXr866des4c+YMI0aMwDAMZs2aZae0IiIiUt5UuBGopUuXsmzZMl5//fUC+5YtW8auXbuYP38+ISEh9OzZkzfeeINPPvmElJQUO6QVERGR8qhCFVAnT55k1KhRfPnll7i5uRXYHxkZScuWLQkICMjb1qdPHzIyMoiJiblivxkZGaSkpOR7iIiISOVVYQoowzCIiIhg9OjRhIaGXrZNYmIiNWvWzLfNx8cHZ2dnEhMTr9j39OnT8fb2znvoNi4iIiKVW5kvoCZPnozJZLrqIzo6mlmzZpGSksLEiROv2t/lVh81DOOqq5JOnDiR5OTkvEdCQsJ1vy8REREpv8r8JPKxY8cyZMiQq7YJCgrilVdeYePGjZjN5nz7QkNDuffee5k3bx7+/v5s2rQp3/5z586RlZVVYGTq78xmc4F+RUREpPIyGYZh2DtEcYiPj883N+n48eP06dOH77//nk6dOlGnTh2WLl3KrbfeytGjR6lVqxYACxYsYMSIEZw6darQ97VLSUnB29ub5ORk3QtPRESknCjOz+8yPwJVWPXq1cv33MPDA4CGDRtSp04dAHr37k1wcDDDhw9n5syZnD17lgkTJjBq1CgVQiIiIlJoZX4OVHFydHTkl19+wcXFha5duzJ48GAGDhx42SUPCmP/azcT+ekT7NzwKxnpqcWcVkRERMqqCnMKrzTlDQE+44mXOWfyeaph5oBra1Lr3ED1NrdQP7gDDo6Odk4qIiIiuYrzFJ4KqCLI/QasnP8qXic3UT8limok52tzDi8OebbHse0Q2va4+iR4ERERKXkqoOzsn98Aw2olbncUJ2N/x/XonzRO3YabKSOv/Ub/e+nwwLs4OlWYKWciIiLljgooO7vWNyAzI50DW//gQvQCOiUtAmCbaycajP4GT2/f0o4rIiIiFG8BVakmkZcWZ7MLwZ1vodPYz4kOnUm6UYU2aZs4+85NHD2ww97xRERE5DqpgCphobc+SMLARZzCl0BrAp7ze7Pjzx/sHUtERESugwqoUtA45CYcHvyDvU5N8eYSzVZEsPE/0zCsVntHExERkSJQAVVK/AICCXxyNVHevXEyWem891WiZt9HZka6vaOJiIiIjVRAlSIXV3dCxy1gY6PHsRomOp79iQOv9+DsqWP2jiYiIiI2UAFVykwODnQeNoXt4R9zwXAlOGsHGe+Hc3D7RntHExERkUJSAWUnbW4ezNl7fuWoqRa1OE2t729nT9QKe8cSERGRQlABZUeBzdrhOXYNO8xtcTNl4PHrGFIvJl/7hSIiImJXKqDszLtaTeo9vIhE/KhjJLJ97uP2jiQiIiLXoAKqDPCqWo3TN78OQKekRVonSkREpIxTAVVGtLrpDjZVGwiA38onuZB81r6BRERE5IpUQJUhLSPe4bipJv6cZvfcR+0dR0RERK5ABVQZ4u5ZlfO938lZI+rcz2xb/Z29I4mIiMhlqIAqY4LD+rK55mAAaq35P5LPnrZzIhEREfknFVBlUNuIN0kwBVCDs+yf+7C944iIiMg/qIAqg1zcPLjUfzYWw0RoynK2Lptv70giIiLyNyqgyqhmoT3YXHs4APU2PKv75YmIiJQhKqDKsHb3vcphh0CqkUzcF6MxrFZ7RxIRERFUQJVpZhc3LAPeJ8twpN3FtcQsnWPvSCIiIoIKqDKvUZsbiA68P+f/oyaTlBhv50QiIiKiAqocCB32CgccG1KVixz94kGdyhMREbEzFVDlQBVnM453fUSm4UTb1EiifnjP3pFEREQqNRVQ5UT94A7ENBgNQMNtM8lIT7VzIhERkcpLBVQ5EnrPJE7hSzWS2b78S3vHERERqbRUQJUjVZzNHAzMuc2Lx7bP7ZxGRESk8lIBVc407juGTMORZtm7ObBtvb3jiIiIVEoqoMoZP/96bPcKB+DsH5pMLiIiYg8qoMoh9xtybjDc+uwyks+ctHMaERGRykcFVDnUtENPDjrWx8WUxe6lH9g7joiISKWjAqocMjk4cCZ4BAB1D36N1WKxcyIREZHKRQVUOdXqlgdIwZ3axkm2r1lo7zgiIiKVigqocsrV3ZNdNW/PebL5Y/uGERERqWRUQJVjdXqNBaBVWjTHDu20cxoREZHKQwVUOVanUUu2uXTAwWSQ8Psse8cRERGpNFRAlXcdHwAg+OSPpF26YOcwIiIilYMKqHKu5U13c9xUEy8usf23OfaOIyIiUilUuALql19+oVOnTri6uuLn58edd96Zb398fDy33XYb7u7u+Pn58dhjj5GZmWmntNfP0cmJ+Ib3AFBt1zwMq9XOiURERCq+ClVALVy4kOHDh/Pvf/+bbdu2sX79eoYOHZq332Kx0L9/fy5dusS6dev45ptvWLhwIU8++aQdU1+/5n0fId2oQkPLIfZGr7R3HBERkQrPZBiGYe8QxSE7O5ugoCCmTJnC/ffff9k2S5cu5dZbbyUhIYGAgAAAvvnmGyIiIjh16hReXl6FOlZKSgre3t4kJycX+jUlbfPb99Dx/K9Ee/Yg9MlF9o4jIiJS5hTn53eFGYHasmULx44dw8HBgZCQEGrVqkXfvn3ZufN/l/dHRkbSsmXLvOIJoE+fPmRkZBATE3PFvjMyMkhJScn3KGt8u48BoHXKHyQlJtg5jYiISMVWYQqoQ4cOATB58mSef/55fv75Z3x8fAgPD+fs2bMAJCYmUrNmzXyv8/HxwdnZmcTExCv2PX36dLy9vfMedevWLbk3UkSN2tzAHqfmOJss7F86295xREREKrQyX0BNnjwZk8l01Ud0dDTW/06efu6557jrrrto3749n3/+OSaTie+++y6vP5PJVOAYhmFcdnuuiRMnkpycnPdISCibIzwXW0cA0PDIt2Rnld+J8SIiImWdk70DXMvYsWMZMmTIVdsEBQVx4ULOGkjBwcF5281mMw0aNCA+Ph4Af39/Nm3alO+1586dIysrq8DI1N+ZzWbMZnNR30KpadX7Ps5smUYNzrJl5de0uyXC3pFEREQqpDJfQPn5+eHn53fNdu3bt8dsNrN3715uuOEGALKysoiLiyMwMBCAsLAwpk6dyokTJ6hVqxYAy5Ytw2w20759+5J7E6XE7OLGltp3Enbsc8xb5oAKKBERkRJR5k/hFZaXlxejR4/mxRdfZNmyZezdu5eHH34YgEGDBgHQu3dvgoODGT58OFu3bmXlypVMmDCBUaNGlZmr6a5X/VvGYjFMtMj8i7jd0faOIyIiUiFVmAIKYObMmQwZMoThw4fToUMHjhw5wqpVq/Dx8QHA0dGRX375BRcXF7p27crgwYMZOHAgr7/+up2TFx//uo3Y5pEzAndy5Xt2TiMiIlIxVZh1oEpTWVwH6u92rPuRliuGk2qYyX5iN15Vq9k7koiIiN1pHSi5qhZdbuWIQx3cTBnsW7fQ3nFEREQqHBVQFZDJwYET1XNO41kOr7dzGhERkYpHBVQFZW54IwA1z22xcxIREZGKRwVUBRUU0iPnv9Z4zp0+Yec0IiIiFYsKqArKp3ot4hzqAXB4ywo7pxEREalYVEBVYCd92gGQefBPOycRERGpWFRAVWCODXImkvud0YKaIiIixUkFVAVWr21PAOpnHyLl/Bk7pxEREak4VEBVYDVq1+eoyR9Hk8HhravsHUdERKTCUAFVwR33zpkHlbp/rZ2TiIiIVBwqoCq6wC4A+JzWPCgREZHiogKqgqvdJmceVIPMvaRdumDnNCIiIhWDCqgKLiCoKSephrPJwsHYP+wdR0REpEJwsncAKVkmBwcSvEKombKCC3vXQtfb7B1JRKRIrBYL+6JXcn7LIuqeWkVVazKHXZpxoUYHPJvcSP224bh7VrV3TKkkVEBVApa6YbBzBZ4nN9s7ioiITTIz0tm78VdS/1pCwzNraMb5/+00QcuMWEiIhYRPyF7hwL4qjThbrR3mBl2o17YH1WrWsVNyqehUQFUC/q1uhp0v0zB9F5kZ6TibXewdSUTkilIvJrN3/RIsO3+iScp6WpGat++C4cpe7644BN+Gd+1mJO3+E8ejG6mTsg1/02maZO+Dk/vg5DcQCQmmAE5UbUeN3k8Q1DzUju9KKhqTYRiGvUOUNykpKXh7e5OcnIyXl5e941yTYbVy/qVAfEhhT/+FNOvQ096RREQKOHf6BIe+eJjglPW4mjLztp/BmwO+4bi2HkizsP5X/CMwMX4/R7etwhK3gRrntlLfeiRvX5rhzI6QF+kwcGyJvw8pu4rz81sjUJWAycGBw+5t8Ln0J+d2rwEVUCJSxqReTOb0R7fTPnsfmOC4qQbxNXrg3e4OmrTvQSena39c+ddrjH+9xsBDACSfPU1c7EocNn1Eq4wtdIh9js1HImk96iNc3DxK+B1JRaer8CqJzNqdAXA7sdHOSURE8svKzODA7Ltokr2P83iwp+931HphL50f/pDmnfrgWIji6XK8favT5uYhBD+1nMh6D2E1THQ89zPH3riRY4d2FvO7kMpGBVQl4deiOwANUrdjyc62cxoRkRxWi4Vts++ldXoUaYYzif3n0axTb0wOxffx5OjkRNjI19jZ43PO4UVDyyG85vVgy+9fFtsxpPJRAVVJ1G/RiQuGK56mNA7v1CiUiJQNmz95lNCU5WQbDuwLn1WiczRb3XQHmQ/8wZ4qwXia0mgXOZaNH4wmKzOjxI4pFZcKqErC0cmJQ26tAEjaudrOaUREYOP8F+mc+BUAW0Neps3NQ0r8mDXrNKThU3+wseY9AHQ++R8OzOzGqWOHS/zYUrGogKpEUmvlzIMyH9MIlIjYV9QP79P5wNsAbGzwWKleHVfF2Uznhz9ka9i7XDBcaZ61C6dPbmL72h9KLYOUfyqgKhGf5uEABF3ahmG12jmNiFRWf63+nrZbngdgY80hdBo2xS45QvqMIHn4Cg46NsCXFFqsHEHkvGftkkXKHxVQlUiD1jeQZjjjwwXi9261dxwRKSXHD+9h49evsOm717l04bxds+yNXkWjPx6hislCtFdPOj74frFOGLdVnUYtqf3kn2z2uRUHk0HY4feI+fVzu+WR8kMFVCXibHbhoEswAInbV9k5jYiUpCN7thA59xkOvNyOgHmd6LxvJp12vkzWGy2I/Owpks+cLPVM8ftiqfHzfbiZMvjLpT2tx3yFg6Njqef4Jxc3DzqO+4rIgPsAaLz5ORITDtg5lZR1KqAqmQs1OwLgmBBp5yQiUpwMq5WD2zey8dPxxL3UksBvuhMW9wGNLAfJNhzY6dyGoyZ/qnKRsPiPcXq3NRs/fISk40eu3XkxOHXsMM5f340PF9jn1ISGYxaVudtKhUa8zj6nJnhxiTNfRmjJF7kq3cqlCMrbrVz+bsf6n2i5fBin8KX6pIN2HToXkeu3f+takjYvoG7iCuoYiXnbMw1Hdru2I6PxrTS+6V/4VK9FdlYmscvm4RszmwbWuP+2c2Kr363U6f8MtRs0L5GMyeeSODvrZupbj5BgCsD94RX41qhdIse6XkcP7MDnyx64m9KJrD+GsBHT7B1JilFxfn6rgCqC8lxApV26gONrgTibLBy7b2OJ/cIUkZJlWK1s+nhs3jIAAOlGFXa7d8TS7DYa3zgIbx+/K772rz++xRz5Ds2ydgGQbTgQ630z1W55hvrBHYo15/bXetM6PYrT+JAV8TsBQU2Lrf+SsHnxLDpue54sw5HDAxbTpF24vSNJMSnOz28NP1Qyru6eHHLO+eV1bNsKO6cRkaIwrFY2ffhQXvG0xSOcmI5vY5lwgJD/+5XQ2x++YvEEOffHbHPzEJpOXM+uPt/wl0soTiYroSkrqP9tT7a+1rfYTu1tXvgmrdOjSDeqkHLXN2W+eALoMGAMMR7dqGKy4PbTQ3afeC9lkwqoSuhc9f/+dXlkg32DiIjNrBYLm9+/n86nvgVgU4sXaDfhR9r3+zfunlVt6svk4EBwWF9aP7OS/QN/ZovHTVgNEyGpG0j67F/XvUL3sUO7abXjNQBim46jYavO19VfaTE5ONBo5Kck4kcd4wQ75zxs70hSBqmAqoTcG98EQEDyFjsnERFbWC0Wot6LoFPSIqyGic2tptBp0IRi6btx2xtpN+En4gb9TgpuNMveTcyccdeVNfmbUbiZMtjl3IqO/ypf6yt5+1bnTO9ZOTcgPv+rljaQAlRAVUL1292MxTBRx0jU7QtEygmrxUL0rGF0OvsjVsNETMgrdLzr8WI/ToOWnTjYZSaQc5uTrcvmF6mfzQumEZy5nVTDjPeQT8rEcgW2atGlH5vqjAC0tIEUpAKqEvL09uWQU0MA4mM1D0qkrLNkZxPz7j10PP8rFsPElvYzSvTWJyG9h7GxZs596RpueIrjh/fY9Pr4fbG03fsOANtb/l+5vlgldMRrWtpALsvJ3gHEPs74hdL45AEsh9YBo+wdR0SuIDsrk9hZ99AhZQXZhgPbOs4ktP8DJX7cdiPfYe/MWJpm7+HkV8PImLAWs4tbofKmffsgLqYs/nJpT8e7xpd41pJUxdmM25DPSf3yZlpkbifyq0l2WdrAkp3N3ugVpGxZSO3T6zBh5ZJjVdKcfcg0+2JxrYbJ3Q9Hj+qYvWrg6lMTT19/fGvWLXPrbVUUKqAqKXPDG+HkN9Q8p3lQImVVVmYGf707mNCLf5BlOLI97E3a3xJRKsd2Nrvgfd98zn/WjcbZ+9n06Vg6jf3smq+L+noyYdl7ScGNmsM+qRBrzdVp1JLNbZ+n47YXCD30Ifu29CmVpQ2yszLZs3Epl2IX0fDMHwRz/h8NEiEbSAXOXb6PTMORvVUaca5aO5zrd6Ze6+74BQSWcPLKQetAFUF5Xgcq17nTJ/B5r1nO/4/Zg0/1WnZOJCJ/l5mRzo53B9Hu0loyDUd2dn2XkN7DSj3HtlXf0mZtzih1TMc3ad/v/iu2PbRjE3W+64uzyUJU22l0GDimtGKWOMNqZeubA2l3cQ1HTbXwGb/R5qseCyMzI509G34m/a9FND63Fh8u5O1LwZ293jfg1OJ2XLyrk3b+FFkpp7BePIUp9QxO6WcxZ57FLfs8npZkqhrJOJssBY5x3FSD456tsdTugF/zmwhsHopTFedify9lkRbStLOKUEABxL3UiiBrPFvCZtOuz3B7xxGR/8pIT2XXu3cRkrqBTMOJXTe9R9seQ+yWJ/LjRwk7/gUXDVfODV9O3UatCrTJzEgn4bUwGloOsdWtC20n/FIhRp/+LvnsadLe7Yw/SWyu2o+Oj/+n2Po+vHMTScveoGnyn3iRmrf9HJ7s9wnHpfUdNOtyq02n4wyrleNxezmxYw2W+E34nYslKPswjqb8H/uXDBcOuzTjYtXmONRohlfdFtRqHHLVtcSuddxzSSc4dzKBrLQLZGekkp2RiiXjEpbMVIzcR1Y6ZKVhyk6jSv0w2t3y7xL/N6MCys4qSgG1adYIOp1ZwsYa/6LzIx/bO46IkH+kI8Oowt5uH9K6+912zZSdlcm+17oTnLWDg471qf3kOlzcPPK12fjpeDofncM5PLGMjsTPv66d0pasnRt+pfnvQ3EwGWxs/CSd7nn+uj/0Y1f8hyZ/jsPNlLPuVhJVOVitG+5t76RZ577FOjp0Ifkscdv+5OKB9bifiqF+2k48TWmXbXsaH06aA7nk1QiqN8OjTgtqNWqDi5sHp48dJiXxEGlJ8VjOJ+B04RiuaSfwzjxFdetpXExZNmfb4hFOw/s/K3LhVhgqoK5g3759PPXUU6xfv57MzExatWrFK6+8Qvfu3fPaxMfHM2bMGFatWoWrqytDhw7l9ddfx9m58P9AK0oBFf3LJ4RGTeCAY0MavaC5UCJlwdZl8wnZMCZn7kqPObS66Q57RwLg9PE4HD++EV9S2Ox7Gx0f+9/yBvu2rKHBDwNxMlmJ6fg27fv9245JS15usQiwuWo/2oyeU6gJ9pez6ZvphO5+FUeTwQ5zWxy6T6RpaE8cnUpnirIlO5v4fVs5vXsd1pO7cUs5SI30OPxJuu6+z+BNmsmVLJMLmQ5msh3MZDu6YHF0weLoitXJFcPJFVN2Gu2SfqKKycIJqpPc7wOadexVDO+uIBVQV9C4cWOaNGnC9OnTcXV15e2332bu3LkcPHgQf39/LBYLbdu2pXr16rzxxhucOXOGESNGcOeddzJr1qxCH6eiFFCnjh2mxidtsRgmLj1xEK+q1ewdSaRSS72YTMrr7fHnNJG1Iwgb9Y69I+Wzfe0PtFg5AgeTQXS7GYTe/jDpaZc4ObMTgdYEYjxvpv2Ti+0ds8QZViub/vMyHfa9haPJYK9TM6qN/NamydmW7GyiPn6EzqcWALDZpz8hD39OFWdzScW2yYXks5w4+Bfnj2zHenI3rskH8EuPo5b1FA4mgwuGK0mONUhxrkG6ewBWzwCcfOrh5hdI1VoN8AsItKmo3LdlDW4/PUgdI5Fsw4GooAfpOHxqsReSKqAuIykpierVq7N27VpuvPFGAC5cuICXlxcrVqygR48eLF26lFtvvZWEhAQCAgIA+Oabb4iIiODUqVOF/mJWlAIK4OiUptQxEtkW/iltug+ydxyRSi3y48cIOz6PRKrjNSEGNw9ve0cqIHLOBMISPiHVMHN6yFJOrJlD58SvSKIqTmM3UdXP394RS81ffywk6I9H8eISp/Dl/O1zC3V1XtqlC+x571+EpK4HILL+GDoPf6VczBlLu3SBrKzMEvmD+0LyWfbOeZDQlOUA7HRuhd9986hZp2GxHUM3E76MatWq0bx5c7744gsuXbpEdnY2H330ETVr1qR9+/YAREZG0rJly7ziCaBPnz5kZGQQExNzxb4zMjJISUnJ96gojnu3AyB1/1o7JxGp3OL3xdL+WM5psRNdJpfJ4gmg44gZ7DC3xc2UgfOCf9HxxNcAHL3x1UpVPAG07nYXycN+54hDXWpwlsAf7iLqh/ev+pqkxHgS3rqZkNT1ZBpORHd4nbAR08pF8QQ5N6QvqbMVnt6+hI7/nqiQ6VwyXGiRuR3zpzcVeTX8klY+vmOFYDKZWL58OVu3bsXT0xMXFxfeeustfvvtN6pWrQpAYmIiNWvWzPc6Hx8fnJ2dSUxMvGLf06dPx9vbO+9Rt24FmhwZGAaAd9JWOwcRqbwMq5XkhY/jbLKwzbUjbXsOtXekK3J0csL/3/M5jQ+1OI2DyWBz1X52vUrQnuo2aoXvuLXEuoVhNmXRYetENn4wmuyszAJtj+yOIevDm2mSvY/zeHCw39eE9tdCxv/UYcAjnBu+kv1OjanKRUI2jGHTrBGkp160d7R8ynwBNXnyZEwm01Uf0dHRGIbBI488Qo0aNfjzzz/ZvHkzAwYM4NZbb+XEiRN5/ZlMpgLHMAzjsttzTZw4keTk5LxHQkJCibxXe6jWMBSA2pmHMKxWO6cRqZy2/PY5rTK2kmFUwW/Q22V+NMLPvy6n+3xAluHIcVMNmkXMtncku/L09qX1k78QWWckkHMPwV1v3ELy2dN5bXas+xGfBbdSi9McNdXiwrDfaN6pj70il3l1GrUk8Kl1bPS/F4BOZ5aQ+HoYh3dF2TnZ/5T5OVBJSUkkJV39aoCgoCDWr19P7969OXfuXL7zmo0bN+b+++/nmWeeYdKkSfzwww9s27Ytb/+5c+fw9fVl1apV+a7Wu5qKNAcqIz0Vx+m1cTJZOTUqlhq169s7kkilcjHlHKlvtqMGZ4ms9yBhI2faO1KhHT+8BzfPqpXu1N3VxPz6Oc03PY2bKYOjplpYBn/Fqb2RtN06iSomC7urBOP/4CItXmyD7WsWUWv1E/hxnnSjCsfu+pGGrbsUqa/i/Pwu87dy8fPzw8/v2mtCpKbmLDzm8I+/3BwcHLD+d2QlLCyMqVOncuLECWrVyvnHu2zZMsxmc948qcrG7OLGEcfaBFoTSNwXowJKpJTt+GoinTnLMVNNQu6ZbO84Ngmo38zeEcqc9v3+zcE6TXFbdB91jBOkfXMLgaZMMEGM5820eGQ+Lq7u9o5ZrrQKv5MzzTqy+9PBNM/aydmV7xS5gCpOZXuc2AZhYWH4+PgwYsQItm3blrcm1OHDh+nfvz8AvXv3Jjg4mOHDh7N161ZWrlzJhAkTGDVqVLkfSboeSe6NAEhN2HaNliJSnA7viiI0Mecy9qQbX9EHawXRsHUXzI+sYadzK1xNOXOhIgNGEPL49/oeF1G1mnUw9X4JgBbnV5Ny/oydE1WgAsrPz4/ffvuNixcvcvPNNxMaGsq6dev44YcfaNOmDQCOjo788ssvuLi40LVrVwYPHszAgQN5/fXX7ZzevjKr5fwV6ZS0285JRCoPw2olbckTOJmsbHXrSpubB9s7khQj3xq1aTJhJRubTGBL2GzCHnwXB0dHe8cq15q2v5kjDnVxM2Wwe/nn9o5T9k/h2SI0NJTff//9qm3q1avHzz//XEqJygfX2q0hDnwuHbB3FJFKI+bnjwjN3E6a4Yz/v96ydxwpAVWczXQe+oK9Y1QYJgcHTjS4m8ADb+GzdwEwwa55KswIlBRdjcY587/qZseTlZlh5zQiFV/yuSSCtswAILbBKGoFNrVzIpHyoXGvB8g0HGmSvY9DOzbZNYsKKKFWvcZcNFxxNlk4dnC7veOIVHh7vn4aP84T71Cb9kMm2TuOSLlRrWYddnh0BeDUmk/smkUFlGBycOBolSAAkg7qpsIiJengXxsIPbUQgJTu03E2u9g5kUj54hQ6AoBmp5eSnnbJbjlUQAkAyd5NAMg6vsPOSUQqLqvFQtaP43E0GcR4dqfljQPsHUmk3Glx40AS8aMqF9mx6mu75VABJTlqBAPgem6vnYOIVFwxP8ymWfZuLhku1B2iieMiReHo5ERcnZw/Psx/fWW3HCqgBADPwLYA+KcdtG8QkQoq+cxJGv2Vs2TK9sYPa9FaketQr+dDWA0TrTK2cvzwHrtkUAElANRuknMlnj+ny8QCZSIVze5vnsOHFOIc6tF+8ER7xxEp1wKCmrLTpS0A8Ss/tksGFVACgLdvdU5SDYDje2PsnEakYjmyN5b2pxYBcLH7K1RxNts5kUj5l9l6GAD1jy7Bkp1d6sdXASV5El0bApB8JNa+QUQqmPNL/o8qJguxbmGaOC5STFr2GMp5PKjJGXb8ubjUj68CSvKkVv3vjUFP7rRvEJEKZPvaxbRJ20SW4Ui1O161dxyRCsPs4sae6n0BsER/UerHVwElearUagGAV8p+OycRqRiyszLx+ONFAGJq3k3dxm3snEikYqkRPgqAlhfXc+bk0VI9tgooyVOtYQgAtbMOY1itdk4jUv7FLH6H+tYjnMeD5kOm2juOSIXToGUn9jk1wdlkYf/yT0v12CqgJE/tRm3IMhzxIpWTR7Wcgcj1SDl/hia73gVgb7OxePtWt3MikYrpXNMhANQ69P01//g/erD4pqiogJI8zmYXjjrWASBxv67EE7keu755AR9SOOJQh3Z3jrd3HJEKK7j3v0k1zARaE9gbs+qK7TIz0slY+EixHVcFlORzxqMxAGlH/7JzEpHy69ihnbQ78Q0A52+crGULREqQp7cvO6t2ByBl/ZwrtouZ9xQNLcV3dkUFlOSTVS3nSrwqSfZZ2VWkIji58GmcTRb+cgmlTfdB9o4jUuF5dBkJQMtzK7mYcq7A/h3rf6LTsS+L9ZgqoCQft7o5Vwn5XdKVeCJFsXP9L7S79CfZhgNeA7RsgUhpaNahF/EOtXEzZbBr+dx8+5LPnKTG8sdwMBlEV72l2I6pAkryqdm4HQC1LcfIzEi3cxqR8sWSnY151QsAxFQfSFDzUDsnEqkcTA4OHK9/NwDeu7/J225YrRz87H5qcJYEUwDBw98otmOqgJJ8atZuQApuVDFZOLp/m73jiJQrMT+9TyPLQVJwo8m/ptk7jkil0qjXKLIMR5pm7yFudzQAUYvfod2lP8k0HEkf8DFuHt7FdjwVUJKPycGBo1UaAHD20BY7pxEAq8Wi0cBy4GLKORpsy/nrdlfj0fhUr2XnRCKVi59/XXa4dwYg8Y9PiN8XS8u/pgOwpeEYGre9sViP51SsvUmFcMG7CSTtIOvEDntHqdSyMjOIWfgGzfa+h9nIZKt7KNmNbqFB17uoVrOOvePJP2xfMIUwznPUVIt2dz9t7zgilZJD6H2wdj1NT/7KmQVRuJky2GFuS8d7Jxf7sVRASUE1giFpEe7n9to7SaX11+rv8f5zMp2tCTkbTBCSugH+2oB124vsdm5Ocr1e1O58l24PUgacOLKXkKPzwQSnw56njtnF3pFEKqUWN97JqbUTqcFZfCwpnMeDGvfNxcHRsdiPpQJKCvAOagu7wD9dq5GXtiN7Yzm/5CnapG0G4Bye7At+jGpNu3I65geqH1tBI8tBmmftgoO74OA7HHGow/GaN+PTbgBN2nUvkV8UcnXHv3+GWqYsdjq3oW3PofaOI1JpOVVx5mDtAdQ49jkAh7u8Skjt+iVyLJNhGEaJ9FyBpaSk4O3tTXJyMl5eXvaOU+wuJJ/F862cf3DJj+7Du1pNOyeq+JLPnGT3gudpf3IhVUwWsgxHYvwH03zIK3j7+OVrm5hwgCMbvsft0O80S99GFZMlb99JqpEyYC6NQ24q7bfAudMnSLuUgoOjI46OTpgccv7r4OiEo5PTf/8/Z1vO/ooxBXPn+l9osXwoVsPE4bt+pWHrLvaOJFKpnT4eR/KcO0mq1Y3OD7yZb19xfn6rgCqCil5AAZyY3IhanGZn7//Qoks/e8epsLKzMolZ9CZNd8+iKhcBiHULo9odrxbq1FzK+TPsW78I055faZISiacpjSMOdfD/vyjMLm4lHT/P9jWLaL7qfpxMhbsJ9WGHIFz/vRD/uo1KOFnJSNi/jaMbFuAX/zuNLQcA2OzTn47jvrZzMhG5muL8/NYpPLmsk26NqJV6movx20AFVInYvmYRnmsm0em/85ziHOpxIXwKbcPvLHQfXlWrEdp/FPQfRfLZ0yS9G0qg9SiRX00i7P7XSyp6PslnT1Nz9ZM4maxkGjm/UhywXrWYqm+NY/cX9+H3f3/gVMW5VHJeD8Nq5cjeLZyIXID/0WXUt8ZR97/7LIaJHa6hNB5afOvLiEjZpwJKLivNpymkRsKpXfaOUiFtWjCDTrtzLq/NnefU/o7Hr6uY8PatTkzHSfhtHk/7+M84svseApu3L67IV7R/7mhCOUu8Q21qTNiMi5sHkFN0WK1WLJZsrJZsLJZsLBYLSUcPUOO7ATTP2knk3KcIG/VOiWcsCsNq5eD2SE5v/pbaJ5YTZD1G0H/3ZRmO7HZtS3qjW2l442Da6KpIkUpHBZRclnNAKzgGVVP22TtKhZOwfxutd70BJthUbSDN7n2dTr7Vi6Xvdrf8m9jt39I2bSNpi8ZifWZdiU4q3/LbXEJTVmAxTKT1m51XPEHOmmKODg44OuX/NeNVtRox8VNpv3k8nY7OY/uacFrZMOpWGvZtWYPzz2NoZE0g9yRjpuHELrdQMpvcStObBtNacwNFKrWKMYtTip1fgxAA6mTFYbVYrtFaCsuSnc2lb0fjaspkuzmEjmM+x7uYiifIKVr8h77HJcOFZlm7iFr45rVfVERJiQnU3/g8AJvrRNA09OZCv7Z9v/vZVG0ADiaD2qvHkXT8SEnFtIlhtbLxq5cI+uEOgqwJpBnObHG/kej2r5Exfj9tn/6djnc8qgsrREQFlFxeQMOWZBpOuJvSSYzXjYWLS9SCqTTL2sVFwxW/oR+VyJVo/nUbsb3ZYwAE73yDU8cOF/sxDKuVhC8exIcLHHSsT/v7ZtjcR5v73+eQQxC+pHBy7nAs2dnFntMW506fYNvMvnTe/wbOJgtb3G8kc9wu2j31M6G3PYSnt69d84lI2aICSi6rirOZBKd6AJzcH23nNBVD/L5Y2u6bBcCu1k9TK7BpiR2rw6Cn2evUFE9TGse+Hlvs/Uf/+D4hqRvINBwx3fERzkVYONLFzQPHf80j1TDTInMbm794tthzFtaujb+R9V4X2qZtJMOowqbg5wh58sdiHR0UkYpFBZRc0VmPnNkf6ce22zlJ+WfJzibt24dwMWXxl0soHe4YV6LHc3RyosrAWWQZjoRcWseW378str4TEw7QbOsrAMQ0GE2Dlp2K3Fdg07bsbDcZgI5HPmbn+l+KIWHhWbKzifz8aZouHZJ3t/ajd/9Mp8H/V2HWqRKRkqHfEHJFFr/mAJjP7LZzkvIv6j8v0TR7DxcMV2rcWzKn7v6pQctORNceBkCdyEmknD9z3X1aLRZOz38AT1Mae52a0WHo5Ovus8OAR9hctR+OJoMay8dw5uTR6+6zMJKOH2H3zB6EHfkQR5NBlHcffMdH0rBV51I5voiUbyqg5Irc6uYs5FgtVbd0uR5H9mwh5MD7AOxpM7FUF48MGTaNo6Za1OAsu78cf939RX3/Oq0ytpJmOOP2r4+LbQ2nlg98SJxDXapzjmOfjyjxCxf++mMhDh/fQMuMWFINM1Ftp9HhiW9x96xaoscVkYpDBZRcUa0mOWsI1bEcIz3tkp3TlE/ZWZlkfP8QZlMW21w6EDrw0VI9voubB+d7zgSg05kl7Nm0rMh9HT2wg1a7chaL3Nbs8WK9ibGbhzcMmkua4Uzr9Gg2zZ9UbH3/XVZmBpEfPUrrP0biSwqHHIJIuncZHQaOKZHjiUjFpQJKrsjPvx7n8cDRZHB031Z7xymXor6eQpPsfaTgRq3hn9hlXk3LrrexuWrOavIuv48nIz3V5j4s2dlcXDAKN1MGO53b0HHwM8Udk6DmoWxv/RwAHQ69f13F3pXEfPYEYSe+AGCT350EPLWBek3aFvtxRKTiUwElV2RycOCYcwMAzh2OtWuWTQtmcHZyXfZsXm7XHLaI2x1N+0MfArC37XPUKKE7ghdG0+FvcwZvgqwJbPl6ss2vj/p6St7yC773flJii3N2uOMxor164mSyUnXpw5xPSiy2vi+mnKPliUUAbG41hU5jP8fF1b3Y+heRykUFlFzVRe8mAFhO7LBbhuOH99Bm1+v4kkLaHyW3MGRxys7KJGvhaJxN2cS6dib09kfsmse7Wk0Od3gBgPZH5nBkb2yhX3t4VxTtDubM4drdZmKJLr9gcnCg2QOfkmAKwJ8k4j6LwLAW7gbF17Lzt0/wMKWRYAoo9VOpIlLxqICSqzL5twTA/fxeu2U4+d14XExZALS8tKnUrtK6HtFfTaZx9n5ScKf28NK56u5a2ve9n22uHXE2ZXPp+zGFmqidmZGOZeFDOJuy2ebaqVQKDw8vHzLvmEOGUYW2qZFs/m7mdfdpWK3U3JOzlMOxxveW6O1tRKRysP9v9UKaOnUqXbp0wc3NjapVq162TXx8PLfddhvu7u74+fnx2GOPkZmZma/N9u3bCQ8Px9XVldq1a/PSSy9hGEYpvIPyyTswZ6JwrYxDdjn+X6u/JyR1PdmGA8dMNalisrB/xRy7ZCmswzs30e5wzqm7fe1eoHpAkH0D/ZfJwYEaQ2aTapgJztpBzLtDifxoDBvfe4DN7w4j+s272TLzNra92osd08PZ80pnTs4IoZHlIOfxoHYpzuFq2LoLW5s+nvP/u9+/7osYdkUuJcgaT6phpnnf0cWQUEQqu3JzM+HMzEwGDRpEWFgYc+YU/AC1WCz079+f6tWrs27dOs6cOcOIESMwDINZs3JWf05JSaFXr150796dqKgo9u3bR0REBO7u7jz55JOl/ZbKhTpN28HP4Md5zp46hm+N2qV27Iz0VHzW5px2ivYfjKlaI2rveoWaBxdiWF8oE6M6/5SVmYFl0cM4myxsdetC+1sfsnekfGoFNmVj00fpvO91OiT/BsmFe93Bji/RPiCwZMP9Q7u7JpA4/XP8SWLTT+/RafD/FbmvjMicgnZ7tT508vErrogiUomVmwJqypQpAMydO/ey+5ctW8auXbtISEggICAAgDfeeIOIiAimTp2Kl5cXX331Fenp6cydOxez2UzLli3Zt28fb775JuPHj8dkMpXW2yk33D2rctTkTx0jkeP7Ykq1gNqyYCphxnGSqEqLodOxWixk7HyV+tYj7N+2jsYhN5ValsKK/moSYf8dsal7X9k4dfdPHQZPJHL+JRwunMBwNGM4uUAVV0xVXDBVccXk5IKDsysOzm44ObviUb0u7a9jtfGicja7cKTZA/jvmUG9XR+TlTmOKs5mm/s5dewwrS+sAxNUv7n4b2sjIpVTuSmgriUyMpKWLVvmFU8Affr0ISMjg5iYGLp3705kZCTh4eGYzeZ8bSZOnEhcXBz169vvKqmy7LRrQ+qkJnIx/i/g9lI55smjB2lz6BMwweGQp+nw3xu5xnjdSPsLqzi7/nMoYwVUVmYGreLmgQkOtHuBUP969o50WY5OToRF2H7zX3toc/ujJO35kFqcZvMvH9PxDtvnYB38bTY1TFZ2VWlJsB0KQRGpmMren8dFlJiYSM2aNfNt8/HxwdnZmcTExCu2yX2e2+ZyMjIySElJyfeoTDJ8mwHgcGpnqR3z6DfjcTNlsLtKMKG3/W/OinPocACaJf1e5hb3PLjtTzxMaZzHg3b9R9k7ToXg4ubBgYYjAKj11/tYsrNten1mRjqNE74HIK3tv4s9n4hUXnYtoCZPnozJZLrqIzo6utD9Xe4UnGEY+bb/s03uBPKrnb6bPn063t7eeY+6desWOlNF4Fy7FQBVLx4olePtWPcj7S/+gcUw4XzbG/lOgwV3vZ2TVMObS+xc/U2p5Cms8ztXAXDIPURXeRWjlgOeIBl36hrHiV02z6bX/rXiS/w4TxJVadVzWAklFJHKyK4F1NixY9m9e/dVHy1btixUX/7+/gVGkc6dO0dWVlbeKNPl2pw6dQqgwMjU302cOJHk5OS8R0JCgi1vs9zzaxgCQJ2sIzaPANgqKzMDj1XPAhBd/Q4atu6Sb7+jkxOHauecRqzy139KNIut3E9sACCrblc7J6lYPLx82FUvp/jxiX7XpnWh3GM/B2B/3UE4m11KJJ+IVE52LaD8/Pxo1qzZVR8uLoX7pRcWFsaOHTs4ceJE3rZly5ZhNptp3759Xpu1a9fmW9pg2bJlBAQEEBQUdMW+zWYzXl5e+R6VSe0GLUk3quBmyuB43O4SPVbMd68SZE3gHF40u+fy83TqdL8fgBZp0Zw6drhE8xRWRnoqjdJzTnH6t+lt5zQVT/DAp7houNLAGse2VQsK9ZpDOzbRPGsnWYYjjfpq8riIFK9yMwcqPj6e2NhY4uPjsVgsxMbGEhsby8WLFwHo3bs3wcHBDB8+nK1bt7Jy5UomTJjAqFGj8gqeoUOHYjabiYiIYMeOHSxevJhp06bpCrxrcHRyIsEp5xL2pINbSuw4SceP0HJfzorX+1uNx7va5UcF6zZqxe4qLXA0GRxc8WmJ5bHFwa1rcDVlkkRV6jUNsXecCsfbtzrbAwYB4LrxrUKNQp1eNRuA7Z43lJm1uESk4ihyAZWdnc2KFSv46KOPuHDhAgDHjx/PK2iK26RJkwgJCeHFF1/k4sWLhISEEBISkjdHytHRkV9++QUXFxe6du3K4MGDGThwIK+//npeH97e3ixfvpyjR48SGhrKI488wvjx4xk/fnyJZK5Izns2BiD9WMnd0uXwggl4mNLY59SE0IGPXbXtxeb/AqBO3KJiu9XH9UjenTP/6YhnSJlcuqAiaDLwadIMZ5pm72XHup+u2jb5XBKtzvwOgLmLFs4UkeJXpGUMjhw5wi233EJ8fDwZGRn06tULT09PXnvtNdLT0/nwww+LOydz58694hpQuerVq8fPP/981TatWrVi7dq1xZiscrBUD4bzSzGfKZlTeLs3/U6H5GVYDRP0e/2ak7Cb97yP1G1Tqctx9kSvpFnHXiWSq7C8EiMByK53g11zVGTVatZhY40BdD79HQ7rXoebBlyx7e6lH9DZlMFhh0CCO99SiilFpLIo0p/K48aNIzQ0lHPnzuHq6pq3/Y477mDlypXFFk7KDve6Obd0qZ56sNj7tmRn47zsaQCiffvTpF34NV/j4eXDzqrdAUiJnFvsmWyRnnqRxhk5hWVASB+7Zqno6g+YSKbhSIvMv9izadll21gtFmrv/xqAU82Ga0RQREpEkX6zrFu3jueffx5nZ+d82wMDAzl27FixBJOypVaTdgDUtp4g+czJYu07euEbNLQcJgV3Gt3zWqFf59bxPgCCz64k7dKFYs1kiwMxK3E2ZXMKX+o0aGG3HJVBzToNifXtC0DG6sv/W9m57gfqGse5YLjSsq/W4xKRklGkAspqtWK5zJ3cjx49iqen53WHkrLHz78uR03+OJgMzrzXu9iufjt76hjNd78DwO7m42y6VUzzzrdw3FQTD1MaO1fOL5Y8RXFhz2oA4r3aa7SjFNS+7Vkshok26VEc2LauwP7sTZ8AsKtGf9w9q5ZyOhGpLIr0275Xr168/fbbec9NJhMXL17kxRdfpF+/fsWVTcqY9IGfkURVGljjsH7SkyO7Y66rP8Nq5cDXE/DiEgcdGxB6l203dHZwdORI3YEAuOy036KaPic3AmCtX7ZuLVNR1W7Qgq3ePQBIWfZqvn3H4/bS5lLOfDT/nrbf9kVEpLCKVEC99dZbrFmzhuDgYNLT0xk6dChBQUEcO3aMV1999dodSLnUqE1XMiOWEe9QG3+S8FlwG7s2/lakvk4fj2PbzL50PP8rAFm9X8XRyfZrGoJ65KwJ1TIjluNxe4uU5XpcunCehln7AKij+U+lxq/vRADaXVqbr5A/8vtsHEwG280hBDZta6d0IlIZFKmACggIIDY2lgkTJvDQQw8REhLCjBkz2Lp1KzVq1CjujFKGBAQ1xeuRVexxao4Xl2i4dBhbln5e6NcbVitRP7yP+eMutE3bSKbhxMYmT9GsU9EWn6wV2JQd5rYAHFlV+mtCHYxeQRWTheOmGgQENS3141dWQc1D2eJ+IwCnl04HID3tEs1OLAYgu/0DdssmIpVDkZYxAHB1dWXkyJGMHDmyOPNIOVDVzx+X8SvYOnswIanrabvxCTaeP07ne5676uuSEuNJ+OIhOqTm3PJkv2Mjqtz9EZ2bh15XnvQWQ2BLLIEJP2C1zCjV+9Cl7s1Z/+modygBpXZUAfDs9TQs+ZO2ySs5dmgnx//6gw5cIBE/WnUfbO94IlLBFbqA+vHHHwvd6e23316kMFJ+uLh50Hr8j2z6cBSdkhbRee9rbPzwGB1HzSpQwBhWKzE/f0zjLS8RwiUyDUe21B9N6L2TcarifIUjFF6LHsO4EDOFAE6yc+NvtOja/7r7LKxqSZsBcGig+U+lrXHbG/nrtw60To/i2M/TqZqScwr3cP1/4V8M/65ERK7GZBiGUZiGDoW8ushkMl32Cr2KJCUlBW9vb5KTkyvdffH+ybBa2fjl84Qdfg+AaM8etBozH7OLGwBJiQkkfPEQIanrATjg2BDHOz+gfotOxZpj87vD6Hj2J6K8+9DhiW+Lte8rST6XhMfbjXA0GZwaFUuN2vVL5bjyP3s2LaPZ0kFYDBOOJoNMw4mLY/6y6WpOEak8ivPzu9BzoKxWa6EeFb14kvxMDg6EjZhGVNtpZBmOhF5Yyf63+pJy/gzRP3+M04edCUldT6bhSGTgaAKfjiz24gnAKywCgBbn/+Biyrli7/9yDkcvw9FkkGAKUPFkJ8069WancyscTTl/B/7l3V3Fk4iUCi1aI8Wiw8Ax7Ln5Uy4ZLrTMiMX6dmtCo5+iKhc56NiAo4OWEvbvV6nibC6R4zdtfzPxDrVxM2Wwe8UXhXqNYbVe13300vf/AcBx3w5F7kOun/WG/y1/4XnTI3ZMIiKVSaHnQL377rs8+OCDuLi48O6771617WOPXf1GsFIxtQq/kwNVa1J18VD8OE+W4Uh04P2EDnulxAqnXCYHB44F3kG9w7Px2L0AGFegjWG1cjxuN8e2LsfhyJ/US9mCmQzO/+snApu3t/mY1c/kzH9y0vwnu2p5wwAi940EkyOd23WzdxwRqSQKPQeqfv36REdHU61aNerXv/LpCpPJxKFDh4otYFmkOVBXd+LIXuKWf0iNjoNo2LpLqR339PE4fD9qm3Nabdg66jZqxfG4vRzd+jumuD+pm7wFf5IKvG6Lx020m/CTTcc6n5RI1dk5yxYkjd6Bn3/dYnkPIiJScorz87vQBVRycjLe3t7XdbCKQgVU2bVtRs+cW3w4NsTdkkItTufbn2k4ctC5KedrdsbJrxEdYp/FaphIGLLSplGoLb/Npd3GccQ51CVo0o7ifhsiIlICivPzu9Cn8Hx9fTlx4gQ1atTg5ptvZtGiRVStWvW6Di5S3LJb3wObo2hkOQhAluHIwSpNOFezEx5Nu9Gw3c009/jfHwJb9/9KyKV1nF46jcDmCwt9nKwDawA46duRoGJ9ByIiUh4UuoDy8PDgzJkz1KhRgz/++IOsrKySzCVSJG17j2Dj8Z0Ylizcm3ajYfseNLvKDWU9e0+Exf0JSV5JwoHt1G3UqlDHqXk2CgDnxuHFEVtERMqZQhdQPXv2pHv37jRv3hyAO+64A2fnyy9Wt2rVquJJJ2IjRycnOj/wZqHbN2pzA9t+60SbtE0k/jyVuo9f+6bESYnxBFkTsBom6rfX/e9ERCqjQhdQ8+fPZ968eRw8eJA1a9bQokUL3NzcSjKbSKlw6fEM/HwHIed+5/jhPQTUb3bV9nExv+MHHHaqT0M//9IJKSIiZUqhCyhXV1dGjx4NQHR0NK+++qrmQEmF0DT0Zv5a0Z7W6TEk/DSVgMe+vGp7y8G1AJz260jD0ggoIiJlTpEW0ly9enVe8WQYBoW8kE+kzKrS/WkAQs78QmLCgau2rX0uZ/6TS+NuJR1LRETKqCKvRP7FF1/QqlUrXF1dcXV1pXXr1nz55dX/chcpq5p36sNO59Y4mywc+WHaFdudPHqQOsYJLIaJBqG9SzGhiIiUJUUqoN58800efvhh+vXrx7fffsuCBQu45ZZbGD16NG+99VZxZxQpFcZNTwHQ9vSPJB0/ctk28TG/A3CwSmO8qlYrtWwiIlK2FHoO1N/NmjWLDz74gPvuuy9v24ABA2jRogWTJ0/miSeeKLaAIqWlRZdb2bMmmGZZu9j6w3T8Hv6wYKPDOfOfzlTvWMrpRESkLCnSCNSJEyfo0qXgLTq6dOnCiRMnrjuUiD2YHBzI7JJzY9rWiYs4e+pYgTZ1zkcD4N6ke6lmExGRsqVIBVSjRo349ttvC2xfsGABjRs3vu5QIvbSKvxO9js1xs2Uwd4lM/LtO354D7U4TZbhSMPQnnZKKCIiZUGRTuFNmTKFf/3rX6xdu5auXbtiMplYt24dK1euvGxhJVJemBwcuNRpPKx/mNbHviX5zPN4V6sJwLGtvxMAHHRuetXVzUVEpOIr0gjUXXfdxebNm/Hz82PJkiUsWrQIPz8/Nm/ezB133FHcGUVKVZseQzjoWB93Uzq7lryWt90UlzP/6VyNTvaKJiIiZYTNI1BZWVk8+OCDvPDCC8yfP78kMonYlcnBgeTQcbDpcVokfE3K+Wfx9PKhXsoWADyb32znhCIiYm82j0BVqVKFxYsXl0QWkTKjbe/7iHOoixep7Fwyk6MHt1ODs2QaTjRqpwJKRKSyK9IpvDvuuIMlS5YUcxSRssPB0ZGkdo8B0DzuS45tWgTAfnNzXNw87BlNRETKgCJNIm/UqBEvv/wyGzZsoH379ri7u+fb/9hjjxVLOBF7CrllJAkxb1HXOE7r/R+ACVL8w+wdS0REygCTUYQb2dWvX//KHZpMHDp06LpClXUpKSl4e3uTnJyMl5eXveNICYpaMpsOsc/lPd91ywKCO99ix0QiIlJUxfn5XaQRqMOHD+f9f279ZTKZriuISFnUtt8ojm97lwDjJGmGMw3b3mTvSCIiUgYU+WbCc+bMoWXLlri4uODi4kLLli359NNPizObiN1VcTZzrNUYAPa4h2J2cbNzIhERKQuKNAL1wgsv8NZbb/Hoo48SFpYzJyQyMpInnniCuLg4XnnllWINKWJPoQMfZUf1IAKbhto7ioiIlBFFmgPl5+fHrFmzuOeee/Jt/89//sOjjz5KUlJSsQUsizQHSkREpPwpzs/vIp3Cs1gshIYW/Gu8ffv2ZGdnX1cgERERkbKuSAXUsGHD+OCDDwps//jjj7n33nuvO5SIiIhIWVakOVCQM4l82bJldO7cGYCNGzeSkJDAfffdx/jx4/Pavfnmm9efUkRERKQMKVIBtWPHDtq1awfAwYMHAahevTrVq1dnx44dee20tIGIiIhUREUqoFavXl3cOa5p6tSp/PLLL8TGxuLs7Mz58+fz7d+2bRszZsxg3bp1JCUlERQUxOjRoxk3bly+dtu3b2fs2LFs3rwZX19fHnroIV544QUVeyIiIlJoRT6FV9oyMzMZNGgQYWFhzJkzp8D+mJgYqlevzvz586lbty4bNmzgwQcfxNHRkbFjxwI5s+979epF9+7diYqKYt++fURERODu7s6TTz5Z2m9JREREyqkiLWNgT3PnzuXxxx8vMAJ1OWPGjGH37t2sWrUKgA8++ICJEydy8uRJzGYzADNmzGDWrFkcPXq00KNQWsZARESk/LH7MgblRXJyMr6+vnnPIyMjCQ8PzyueAPr06cPx48eJi4u7Yj8ZGRmkpKTke4iIiEjlVWELqMjISL799lseeuihvG2JiYnUrFkzX7vc54mJiVfsa/r06Xh7e+c96tatWzKhRUREpFywawE1efJkTCbTVR/R0dE297tz504GDBjApEmT6NWrV759/zxNV5ibIU+cOJHk5OS8R0JCgs2ZREREpOKw6yTysWPHMmTIkKu2CQoKsqnPXbt2cfPNNzNq1Cief/75fPv8/f0LjDSdOnUKoMDI1N+ZzeZ8p/1ERESkcrNrAeXn54efn1+x9bdz505uvvlmRowYwdSpUwvsDwsL49lnnyUzMxNnZ2cAli1bRkBAgM2FmoiIiFRe5WYOVHx8PLGxscTHx2OxWIiNjSU2NpaLFy8COcVT9+7d6dWrF+PHjycxMZHExEROnz6d18fQoUMxm81ERESwY8cOFi9ezLRp0xg/frzWgRIREZFCKzfLGERERDBv3rwC21evXk23bt2YPHkyU6ZMKbA/MDAw3xV227dvZ8yYMWzevBkfHx9Gjx7NpEmTbCqgtIyBiIhI+VOcn9/lpoAqS1RAiYiIlD9aB0pERETEjlRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjcpNATV16lS6dOmCm5sbVatWvWrbM2fOUKdOHUwmE+fPn8+3b/v27YSHh+Pq6krt2rV56aWXMAyj5IKLiIhIhVNuCqjMzEwGDRrEww8/fM22999/P61bty6wPSUlhV69ehEQEEBUVBSzZs3i9ddf58033yyJyCIiIlJBOdk7QGFNmTIFgLlz51613QcffMD58+eZNGkSS5cuzbfvq6++Ij09nblz52I2m2nZsiX79u3jzTffZPz48ZhMppKKLyIiIhVIuRmBKoxdu3bx0ksv8cUXX+DgUPCtRUZGEh4ejtlsztvWp08fjh8/Tlxc3BX7zcjIICUlJd9DREREKq8KU0BlZGRwzz33MHPmTOrVq3fZNomJidSsWTPfttzniYmJV+x7+vTpeHt75z3q1q1bfMFFRESk3LFrATV58mRMJtNVH9HR0YXqa+LEiTRv3pxhw4Zdtd0/T9PlTiC/2um7iRMnkpycnPdISEgoVCYRERGpmOw6B2rs2LEMGTLkqm2CgoIK1deqVavYvn0733//PfC/wsjPz4/nnnuOKVOm4O/vX2Ck6dSpUwAFRqb+zmw25zvtJyIiIpWbXQsoPz8//Pz8iqWvhQsXkpaWlvc8KiqKkSNH8ueff9KwYUMAwsLCePbZZ8nMzMTZ2RmAZcuWERAQUOhCTURERKTcXIUXHx/P2bNniY+Px2KxEBsbC0CjRo3w8PDIK5JyJSUlAdC8efO8daOGDh3KlClTiIiI4Nlnn2X//v1MmzaNSZMm6Qo8ERERKbRyU0BNmjSJefPm5T0PCQkBYPXq1XTr1q1QfXh7e7N8+XLGjBlDaGgoPj4+jB8/nvHjx5dEZBEREamgTIaW4bZZSkoK3t7eJCcn4+XlZe84IiIiUgjF+fldYZYxEBERESktKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRGKqBEREREbKQCSkRERMRG5aaAmjp1Kl26dMHNzY2qVatesd3cuXNp3bo1Li4u+Pv7M3bs2Hz7t2/fTnh4OK6urtSuXZuXXnoJwzBKOL2IiIhUJE72DlBYmZmZDBo0iLCwMObMmXPZNm+++SZvvPEGM2fOpFOnTqSnp3Po0KG8/SkpKfTq1Yvu3bsTFRXFvn37iIiIwN3dnSeffLK03oqIiIiUcyajnA2/zJ07l8cff5zz58/n237u3Dlq167NTz/9RI8ePS772g8++ICJEydy8uRJzGYzADNmzGDWrFkcPXoUk8lUqAwpKSl4e3uTnJyMl5fXdb0fERERKR3F+fldbk7hXcvy5cuxWq0cO3aM5s2bU6dOHQYPHkxCQkJem8jISMLDw/OKJ4A+ffpw/Phx4uLirth3RkYGKSkp+R4iIiJSeVWYAurQoUNYrVamTZvG22+/zffff8/Zs2fp1asXmZmZACQmJlKzZs18r8t9npiYeMW+p0+fjre3d96jbt26JfdGREREpMyzawE1efJkTCbTVR/R0dGF6stqtZKVlcW7775Lnz596Ny5M//5z3/Yv38/q1evzmv3z9N0uWcwr3b6buLEiSQnJ+c9/j6qJSIiIpWPXSeRjx07liFDhly1TVBQUKH6qlWrFgDBwcF526pXr46fnx/x8fEA+Pv7FxhpOnXqFECBkam/M5vN+U77iYiISOVm1wLKz88PPz+/Yumra9euAOzdu5c6deoAcPbsWZKSkggMDAQgLCyMZ599lszMTJydnQFYtmwZAQEBhS7URERERMrNHKj4+HhiY2OJj4/HYrEQGxtLbGwsFy9eBKBJkyYMGDCAcePGsWHDBnbs2MGIESNo1qwZ3bt3B2Do0KGYzWYiIiLYsWMHixcvZtq0aYwfP77QV+CJiIiIlJtlDCIiIpg3b16B7atXr6Zbt25AzuWJTzzxBIsWLcLBwYHw8HDeeeedfJO+t2/fzpgxY9i8eTM+Pj6MHj2aSZMm2VRAaRkDERGR8qc4P7/LTQFVlqiAEhERKX+0DpSIiIiIHamAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG6mAEhEREbGRCigRERERG5WbAmrq1Kl06dIFNzc3qlatetk2UVFR9OjRg6pVq+Lj40Pv3r2JjY3N12b79u2Eh4fj6upK7dq1eemllzAMo+TfgIiIiFQY5aaAyszMZNCgQTz88MOX3X/hwgX69OlDvXr12LRpE+vWrcPLy4s+ffqQlZUFQEpKCr169SIgIICoqChmzZrF66+/zptvvlmab0VERETKOZNRzoZf5s6dy+OPP8758+fzbY+OjqZDhw7Ex8dTt25dIGe0qXXr1hw4cICGDRvywQcfMHHiRE6ePInZbAZgxowZzJo1i6NHj2IymQqVISUlBW9vb5KTk/Hy8irW9yciIiIlozg/v8vNCNS1NG3aFD8/P+bMmUNmZiZpaWnMmTOHFi1aEBgYCEBkZCTh4eF5xRNAnz59OH78OHFxcVfsOyMjg5SUlHwPERERqbwqTAHl6enJH3/8wfz583F1dcXDw4Pff/+dX3/9FScnJwASExOpWbNmvtflPk9MTLxi39OnT8fb2zvvkTvCJSIiIpWTXQuoyZMnYzKZrvqIjo4uVF9paWmMHDmSrl27snHjRtavX0+LFi3o168faWlpee3+eZou9wzm1U7fTZw4keTk5LxHQkJCEd6tiIiIVBRO9jz42LFjGTJkyFXbBAUFFaqvr7/+mri4OCIjI3FwcMjb5uPjww8//MCQIUPw9/cvMNJ06tQpgAIjU39nNpvznfYTERGRys2uBZSfnx9+fn7F0ldqaioODg75RpJyn1utVgDCwsJ49tlnyczMxNnZGYBly5YREBBQ6EJNREREpNzMgYqPjyc2Npb4+HgsFguxsbHExsZy8eJFAHr16sW5c+cYM2YMu3fvZufOnfz73//GycmJ7t27AzB06FDMZjMRERHs2LGDxYsXM23aNMaPH1/oK/BERERE7DoCZYtJkyYxb968vOchISEArF69mm7dutGsWTN++uknpkyZQlhYGA4ODoSEhPDbb79Rq1YtALy9vVm+fDljxowhNDQUHx8fxo8fz/jx4+3ynkRERKR8KnfrQJUFWgdKRESk/CnOz+9yMwJVluTWnFoPSkREpPzI/dwujrEjFVBFcObMGQCtByUiIlIOnTlzBm9v7+vqQwVUEfj6+gI5E9uv9xsg1yclJYW6deuSkJCg06l2pu9F2aHvRdmh70XZkpycTL169fI+x6+HCqgiyF1nytvbWz8QZYSXl5e+F2WEvhdlh74XZYe+F2VL7uf4dfVRDDlEREREKhUVUCIiIiI2UgFVBGazmRdffFG3dykD9L0oO/S9KDv0vSg79L0oW4rz+6F1oERERERspBEoERERERupgBIRERGxkQooERERERupgBIRERGxkQooG73//vvUr18fFxcX2rdvz59//mnvSJXO9OnT6dChA56entSoUYOBAweyd+9ee8cScr43JpOJxx9/3N5RKq1jx44xbNgwqlWrhpubG23btiUmJsbesSqd7Oxsnn/+eerXr4+rqysNGjTgpZdewmq12jtahbd27Vpuu+02AgICMJlMLFmyJN9+wzCYPHkyAQEBuLq60q1bN3bu3GnzcVRA2WDBggU8/vjjPPfcc2zdupUbb7yRvn37Eh8fb+9olcqaNWsYM2YMGzduZPny5WRnZ9O7d28uXbpk72iVWlRUFB9//DGtW7e2d5RK69y5c3Tt2pUqVaqwdOlSdu3axRtvvEHVqlXtHa3SefXVV/nwww+ZPXs2u3fv5rXXXmPmzJnMmjXL3tEqvEuXLtGmTRtmz5592f2vvfYab775JrNnzyYqKgp/f3969erFhQsXbDuQIYXWsWNHY/To0fm2NWvWzHjmmWfslEgMwzBOnTplAMaaNWvsHaXSunDhgtG4cWNj+fLlRnh4uDFu3Dh7R6qUnn76aeOGG26wdwwxDKN///7GyJEj82278847jWHDhtkpUeUEGIsXL857brVaDX9/f2PGjBl529LT0w1vb2/jww8/tKlvjUAVUmZmJjExMfTu3Tvf9t69e7NhwwY7pRLIuTkkUCw3h5SiGTNmDP3796dnz572jlKp/fjjj4SGhjJo0CBq1KhBSEgIn3zyib1jVUo33HADK1euZN++fQBs27aNdevW0a9fPzsnq9wOHz5MYmJivs9ys9lMeHi4zZ/luplwISUlJWGxWKhZs2a+7TVr1iQxMdFOqcQwDMaPH88NN9xAy5Yt7R2nUvrmm2/YsmULUVFR9o5S6R06dIgPPviA8ePH8+yzz7J582Yee+wxzGYz9913n73jVSpPP/00ycnJNGvWDEdHRywWC1OnTuWee+6xd7RKLffz+nKf5UeOHLGpLxVQNjKZTPmeG4ZRYJuUnrFjx/LXX3+xbt06e0eplBISEhg3bhzLli3DxcXF3nEqPavVSmhoKNOmTQMgJCSEnTt38sEHH6iAKmULFixg/vz5fP3117Ro0YLY2Fgef/xxAgICGDFihL3jVXrF8VmuAqqQ/Pz8cHR0LDDadOrUqQKVrJSORx99lB9//JG1a9dSp04de8eplGJiYjh16hTt27fP22axWFi7di2zZ88mIyMDR0dHOyasXGrVqkVwcHC+bc2bN2fhwoV2SlR5PfXUUzzzzDMMGTIEgFatWnHkyBGmT5+uAsqO/P39gZyRqFq1auVtL8pnueZAFZKzszPt27dn+fLl+bYvX76cLl262ClV5WQYBmPHjmXRokWsWrWK+vXr2ztSpdWjRw+2b99ObGxs3iM0NJR7772X2NhYFU+lrGvXrgWW9Ni3bx+BgYF2SlR5paam4uCQ/yPW0dFRyxjYWf369fH398/3WZ6ZmcmaNWts/izXCJQNxo8fz/DhwwkNDSUsLIyPP/6Y+Ph4Ro8ebe9olcqYMWP4+uuv+eGHH/D09MwbFfT29sbV1dXO6SoXT0/PAnPP3N3dqVatmuak2cETTzxBly5dmDZtGoMHD2bz5s18/PHHfPzxx/aOVuncdtttTJ06lXr16tGiRQu2bt3Km2++yciRI+0drcK7ePEiBw4cyHt++PBhYmNj8fX1pV69ejz++ONMmzaNxo0b07hxY6ZNm4abmxtDhw617UDFcZlgZfLee+8ZgYGBhrOzs9GuXTtdOm8HwGUfn3/+ub2jiWFoGQM7++mnn4yWLVsaZrPZaNasmfHxxx/bO1KllJKSYowbN86oV6+e4eLiYjRo0MB47rnnjIyMDHtHq/BWr1592c+IESNGGIaRs5TBiy++aPj7+xtms9m46aabjO3bt9t8HJNhGEZxVHwiIiIilYXmQImIiIjYSAWUiIiIiI1UQImIiIjYSAWUiIiIiI1UQImIiIjYSAWUiIiIiI1UQImIiIjYSAWUiJRLqamp3HXXXXh5eWEymTh//jxBQUG8/fbbeW1MJhNLliyxW0YRqbh0KxcRKZfmzZvHn3/+yYYNG/Dz88Pb25uoqCjc3d3tHU1EKgEVUCJSpmRmZuLs7HzNdgcPHqR58+b57rlXvXr1koyWT2FzikjFpFN4IlKiunXrxtixYxk7dixVq1alWrVqPP/88+TeRSooKIhXXnmFiIgIvL29GTVqFAALFy6kRYsWmM1mgoKCeOONN/L1+cYbb7B27VpMJhPdunXL6+vvp/D+6dixY/zrX//Cx8eHatWqMWDAAOLi4gr1PiIiIhg4cCDTp08nICCAJk2aADB//nxCQ0Px9PTE39+foUOHcurUqbzX/fHHH5hMJlauXEloaChubm506dKFvXv35uv/lVdeoUaNGnh6evLAAw/wzDPP0LZt23xtPv/8c5o3b46LiwvNmjXj/fffL1R2ESl+KqBEpMTNmzcPJycnNm3axLvvvstbb73Fp59+mrd/5syZtGzZkpiYGF544QViYmIYPHgwQ4YMYfv27UyePJkXXniBuXPnArBo0SJGjRpFWFgYJ06cYNGiRdfMkJqaSvfu3fHw8GDt2rWsW7cODw8PbrnlFjIzMwv1PlauXMnu3btZvnw5P//8M5AzEvXyyy+zbds2lixZwuHDh4mIiCjw2ueee4433niD6OhonJycGDlyZN6+r776iqlTp/Lqq68SExNDvXr1+OCDD/K9/pNPPuG5555j6tSp7N69m2nTpvHCCy8wb968QmUXkWJWnHdAFhH5p/DwcKN58+aG1WrN2/b0008bzZs3NwzDMAIDA42BAwfme83QoUONXr165dv21FNPGcHBwXnPx40bZ4SHh+drExgYaLz11lt5zwFj8eLFhmEYxpw5c4ymTZvmy5GRkWG4uroav//++zXfx4gRI4yaNWsaGRkZV223efNmAzAuXLhgGMb/7gy/YsWKvDa//PKLARhpaWmGYRhGp06djDFjxuTrp2vXrkabNm3yntetW9f4+uuv87V5+eWXjbCwsGtmF5HipxEoESlxnTt3xmQy5T0PCwtj//79WCwWAEJDQ/O13717N127ds23rWvXrvleY6uYmBgOHDiAp6cnHh4eeHh44OvrS3p6OgcPHixUH61atSow72nr1q0MGDCAwMBAPD09804nxsfH52vXunXrvP+vVasWQN6pvr1799KxY8d87f/+/PTp0yQkJHD//ffnZffw8OCVV14pdHYRKV6aRC4idvfPK+cMw8hXcOVuux5Wq5X27dvz1VdfFdhX2Mnn/8x56dIlevfuTe/evZk/fz7Vq1cnPj6ePn36FDgtWKVKlbz/z31vVqu1wLZcf3+/ue0++eQTOnXqlK+do6NjobKLSPFSASUiJW7jxo0Fnjdu3PiKH/7BwcGsW7cu37YNGzbQpEmTIhcM7dq1Y8GCBdSoUQMvL68i9fFPe/bsISkpiRkzZlC3bl0AoqOjbe6nadOmbN68meHDh+dt+3s/NWvWpHbt2hw6dIh77733+oOLyHXTKTwRKXEJCQmMHz+evXv38p///IdZs2Yxbty4K7Z/8sknWblyJS+//DL79u1j3rx5zJ49mwkTJhQ5w7333oufnx8DBgzgzz//5PDhw6xZs4Zx48Zx9OjRIvVZr149nJ2dmTVrFocOHeLHH3/k5ZdftrmfRx99lDlz5jBv3jz279/PK6+8wl9//ZVvVGry5MlMnz6dd955h3379rF9+3Y+//xz3nzzzSJlF5HrowJKRErcfffdR1paGh07dmTMmDE8+uijPPjgg1ds365dO7799lu++eYbWrZsyaRJk3jppZcue3VbYbm5ubF27Vrq1avHnXfeSfPmzRk5ciRpaWlFHpGqXr06c+fO5bvvviM4OJgZM2bw+uuv29zPvffey8SJE5kwYQLt2rXLu5LPxcUlr80DDzzAp59+yty5c2nVqhXh4eHMnTuX+vXrFym7iFwfk3G9EwtERK6iW7dutG3b9qrrM0lBvXr1wt/fny+//NLeUUTkMjQHSkTEzlJTU/nwww/p06cPjo6O/Oc//2HFihUsX77c3tFE5ApUQImIAB4eHlfct3TpUm688cYSO7bJZOLXX3/llVdeISMjg6ZNm7Jw4UJ69uxZYscUkeujU3giIsCBAweuuK927dq4urqWYhoRKetUQImIiIjYSFfhiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjVRAiYiIiNhIBZSIiIiIjf4fbiGC8eiGtUoAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -59,23 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "old.attrs['chirp_start'] = 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 218,
    "metadata": {},
    "outputs": [
     {
@@ -444,31 +428,116 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;profile&#x27; (time: 1, attenuator_setting_pair: 1,\n",
-       "                             profile_range: 39999)&gt; Size: 640kB\n",
-       "array([[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "         -9.27273832e-07+6.77336074e-03j,\n",
-       "         -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "         -5.21329130e-07-4.99838438e-07j,\n",
-       "          2.02641074e-07-8.46271999e-07j,\n",
-       "          1.26782906e-06-2.16599516e-08j]]])\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;profile&#x27; (time: 1, chirp_num: 100,\n",
+       "                             attenuator_setting_pair: 1, profile_range: 39999)&gt; Size: 64MB\n",
+       "array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
+       "          -9.27273832e-07+6.77336074e-03j,\n",
+       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
+       "          -5.21329130e-07-4.99838438e-07j,\n",
+       "           2.02641074e-07-8.46271999e-07j,\n",
+       "           1.26782906e-06-2.16599516e-08j]],\n",
+       "\n",
+       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
+       "          -4.65191502e-07+6.77615015e-03j,\n",
+       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
+       "          -9.08098710e-07+2.85821091e-07j,\n",
+       "          -5.30522409e-07-9.73941848e-07j,\n",
+       "           1.12872192e-06-5.98828832e-07j]],\n",
+       "\n",
+       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
+       "          -5.68561906e-07+6.77757061e-03j,\n",
+       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
+       "           1.27636810e-06-6.26149904e-07j,\n",
+       "           2.36619677e-07+1.03064573e-06j,\n",
+       "          -7.00436130e-07-4.74906535e-08j]],\n",
+       "...\n",
+       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
+       "          -1.30092000e-07+6.65786473e-03j,\n",
+       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
+       "           5.98589909e-07-3.91519477e-07j,\n",
+       "           5.05116032e-07+2.76446351e-07j,\n",
+       "           2.20810081e-07+4.90185512e-07j]],\n",
+       "\n",
+       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
+       "          -1.00088592e-08+6.65753356e-03j,\n",
+       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
+       "          -9.05339415e-08-3.53241214e-07j,\n",
+       "           2.13017850e-07+4.42310039e-08j,\n",
+       "           2.76789329e-07+1.96950921e-08j]],\n",
+       "\n",
+       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
+       "          -8.02547022e-08+6.65740261e-03j,\n",
+       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
+       "           1.40825291e-06+8.15137952e-07j,\n",
+       "          -6.98290429e-07+1.46028701e-06j,\n",
+       "          -1.34931239e-06-4.58747559e-07j]]]])\n",
        "Coordinates:\n",
        "  * time           (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
-       "    chirp_num      int64 8B 0\n",
+       "  * chirp_num      (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
        "    filename       (time) &lt;U57 228B &#x27;../../data/sample/single_dat_file/DATA20...\n",
        "    burst_number   (time) int64 8B 0\n",
        "    AFGain         (attenuator_setting_pair) int64 8B -4\n",
        "    attenuator     (attenuator_setting_pair) float64 8B 22.0\n",
        "    orientation    (time) &lt;U7 28B &#x27;unknown&#x27;\n",
        "  * profile_range  (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
-       "Dimensions without coordinates: attenuator_setting_pair</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'profile'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>attenuator_setting_pair</span>: 1</li><li><span class='xr-has-index'>profile_range</span>: 39999</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c8250232-c3c2-44c2-a466-005e9f1d613b' class='xr-array-in' type='checkbox' checked><label for='section-c8250232-c3c2-44c2-a466-005e9f1d613b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>(0.007689785531887402+0j) ... (1.267829062097684e-06-2.165995161051...</span></div><div class='xr-array-data'><pre>array([[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "         -9.27273832e-07+6.77336074e-03j,\n",
-       "         -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "         -5.21329130e-07-4.99838438e-07j,\n",
-       "          2.02641074e-07-8.46271999e-07j,\n",
-       "          1.26782906e-06-2.16599516e-08j]]])</pre></div></div></li><li class='xr-section-item'><input id='section-bef76051-df5d-4639-9b33-728c94623634' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bef76051-df5d-4639-9b33-728c94623634' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-05T03:16:15</div><input id='attrs-89879f31-a3cf-4553-8d6b-1c42d2a966f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89879f31-a3cf-4553-8d6b-1c42d2a966f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2445529-69d7-4a9b-b0cf-da5b0d416150' class='xr-var-data-in' type='checkbox'><label for='data-c2445529-69d7-4a9b-b0cf-da5b0d416150' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-01-05T03:16:15.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chirp_num</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-49b7df86-bf6a-4c6a-983c-d488d5bec743' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49b7df86-bf6a-4c6a-983c-d488d5bec743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a08acf88-ed2f-4dad-bff6-8190172ee028' class='xr-var-data-in' type='checkbox'><label for='data-a08acf88-ed2f-4dad-bff6-8190172ee028' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U57</div><div class='xr-var-preview xr-preview'>&#x27;../../data/sample/single_dat_fi...</div><input id='attrs-55b1b501-1e9a-4d1f-97c5-e8b086305084' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55b1b501-1e9a-4d1f-97c5-e8b086305084' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-125bdb7b-094a-4472-8917-7449f0a35c82' class='xr-var-data-in' type='checkbox'><label for='data-125bdb7b-094a-4472-8917-7449f0a35c82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;../../data/sample/single_dat_file/DATA2023-01-05-0315.DAT&#x27;],\n",
-       "      dtype=&#x27;&lt;U57&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-e867d82b-9c2f-4e24-bc13-3d12781525b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e867d82b-9c2f-4e24-bc13-3d12781525b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-223107d7-57ad-4a7a-bf54-35f12029e7e8' class='xr-var-data-in' type='checkbox'><label for='data-223107d7-57ad-4a7a-bf54-35f12029e7e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4</div><input id='attrs-c1d0701d-6217-4be9-b013-ba207ac0e101' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1d0701d-6217-4be9-b013-ba207ac0e101' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b17e0c84-ca96-4fb3-84da-f4e5be96b431' class='xr-var-data-in' type='checkbox'><label for='data-b17e0c84-ca96-4fb3-84da-f4e5be96b431' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>22.0</div><input id='attrs-d085b0f1-11f8-4204-b6a7-45f38b128269' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d085b0f1-11f8-4204-b6a7-45f38b128269' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9e33bfa-56ed-441c-bf01-43076a1b2c06' class='xr-var-data-in' type='checkbox'><label for='data-f9e33bfa-56ed-441c-bf01-43076a1b2c06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([22.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;unknown&#x27;</div><input id='attrs-3a154f82-f891-4281-b6bb-0153997522c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a154f82-f891-4281-b6bb-0153997522c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87d2ba31-1dc8-4bda-9169-1ddb88dabcae' class='xr-var-data-in' type='checkbox'><label for='data-87d2ba31-1dc8-4bda-9169-1ddb88dabcae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 8.411e+03 8.411e+03</div><input id='attrs-7b328f5d-5750-4d99-8967-33efa99a762c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b328f5d-5750-4d99-8967-33efa99a762c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98a6d31d-26b6-431b-8d01-49db08e3d549' class='xr-var-data-in' type='checkbox'><label for='data-98a6d31d-26b6-431b-8d01-49db08e3d549' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 8.410741e+03,\n",
-       "       8.410951e+03, 8.411162e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b2ee3262-975f-41c3-b853-47fe98c11bbc' class='xr-section-summary-in' type='checkbox'  ><label for='section-b2ee3262-975f-41c3-b853-47fe98c11bbc' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4efbbd8b-8749-43c2-9dbe-b96f72bf78f6' class='xr-index-data-in' type='checkbox'/><label for='index-4efbbd8b-8749-43c2-9dbe-b96f72bf78f6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-01-05 03:16:15&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-68f69fe7-af6d-4c90-b4c9-9a3ffcc5b832' class='xr-index-data-in' type='checkbox'/><label for='index-68f69fe7-af6d-4c90-b4c9-9a3ffcc5b832' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
+       "Dimensions without coordinates: attenuator_setting_pair\n",
+       "Attributes:\n",
+       "    long_name:    profile\n",
+       "    units:        -\n",
+       "    description:  complex profile computed from the fourier transform of the ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'profile'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>chirp_num</span>: 100</li><li><span>attenuator_setting_pair</span>: 1</li><li><span class='xr-has-index'>profile_range</span>: 39999</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c567d8fe-c18d-46ad-8114-3179a8bd4227' class='xr-array-in' type='checkbox' checked><label for='section-c567d8fe-c18d-46ad-8114-3179a8bd4227' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>(0.007689785531887402+0j) ... (-1.3493123858953937e-06-4.5874755908...</span></div><div class='xr-array-data'><pre>array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
+       "          -9.27273832e-07+6.77336074e-03j,\n",
+       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
+       "          -5.21329130e-07-4.99838438e-07j,\n",
+       "           2.02641074e-07-8.46271999e-07j,\n",
+       "           1.26782906e-06-2.16599516e-08j]],\n",
+       "\n",
+       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
+       "          -4.65191502e-07+6.77615015e-03j,\n",
+       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
+       "          -9.08098710e-07+2.85821091e-07j,\n",
+       "          -5.30522409e-07-9.73941848e-07j,\n",
+       "           1.12872192e-06-5.98828832e-07j]],\n",
+       "\n",
+       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
+       "          -5.68561906e-07+6.77757061e-03j,\n",
+       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
+       "           1.27636810e-06-6.26149904e-07j,\n",
+       "           2.36619677e-07+1.03064573e-06j,\n",
+       "          -7.00436130e-07-4.74906535e-08j]],\n",
+       "...\n",
+       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
+       "          -1.30092000e-07+6.65786473e-03j,\n",
+       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
+       "           5.98589909e-07-3.91519477e-07j,\n",
+       "           5.05116032e-07+2.76446351e-07j,\n",
+       "           2.20810081e-07+4.90185512e-07j]],\n",
+       "\n",
+       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
+       "          -1.00088592e-08+6.65753356e-03j,\n",
+       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
+       "          -9.05339415e-08-3.53241214e-07j,\n",
+       "           2.13017850e-07+4.42310039e-08j,\n",
+       "           2.76789329e-07+1.96950921e-08j]],\n",
+       "\n",
+       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
+       "          -8.02547022e-08+6.65740261e-03j,\n",
+       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
+       "           1.40825291e-06+8.15137952e-07j,\n",
+       "          -6.98290429e-07+1.46028701e-06j,\n",
+       "          -1.34931239e-06-4.58747559e-07j]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-63bf1622-529a-4c4c-97f6-eef0b08a5a0f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-63bf1622-529a-4c4c-97f6-eef0b08a5a0f' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-05T03:16:15</div><input id='attrs-a2d0d7ef-ec52-4075-a0ff-7f7a5e899361' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2d0d7ef-ec52-4075-a0ff-7f7a5e899361' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a779942-4692-4d8f-ad81-51757d336620' class='xr-var-data-in' type='checkbox'><label for='data-4a779942-4692-4d8f-ad81-51757d336620' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-01-05T03:16:15.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_num</span></div><div class='xr-var-dims'>(chirp_num)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-3780526b-e3b5-4c38-986d-d1b2b42e4bff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3780526b-e3b5-4c38-986d-d1b2b42e4bff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c4b3e66-5148-4661-9602-6a5f3f7e3be4' class='xr-var-data-in' type='checkbox'><label for='data-8c4b3e66-5148-4661-9602-6a5f3f7e3be4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>chirp number</dd><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
+       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
+       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
+       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
+       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U57</div><div class='xr-var-preview xr-preview'>&#x27;../../data/sample/single_dat_fi...</div><input id='attrs-ec7a0336-9986-4f75-ac39-d2fa16a1a38d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec7a0336-9986-4f75-ac39-d2fa16a1a38d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0e10e0e-e03b-44a0-8fd3-2634f1005f6d' class='xr-var-data-in' type='checkbox'><label for='data-a0e10e0e-e03b-44a0-8fd3-2634f1005f6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;../../data/sample/single_dat_file/DATA2023-01-05-0315.DAT&#x27;],\n",
+       "      dtype=&#x27;&lt;U57&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-1cbe220f-5521-416b-bc06-5a9a485cf9a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cbe220f-5521-416b-bc06-5a9a485cf9a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-782e18de-0b9b-41aa-b479-b3f5cec2a424' class='xr-var-data-in' type='checkbox'><label for='data-782e18de-0b9b-41aa-b479-b3f5cec2a424' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4</div><input id='attrs-3d0602d0-d135-4bdf-9dcf-4f1dabd83ebf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d0602d0-d135-4bdf-9dcf-4f1dabd83ebf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e953e282-ff16-4cd5-a175-8c71b2d3c6e1' class='xr-var-data-in' type='checkbox'><label for='data-e953e282-ff16-4cd5-a175-8c71b2d3c6e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([-4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>22.0</div><input id='attrs-2fdae5fd-613e-4470-b001-99c430a04e13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fdae5fd-613e-4470-b001-99c430a04e13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f530875d-ac36-4f9a-b4cc-5c530d9260de' class='xr-var-data-in' type='checkbox'><label for='data-f530875d-ac36-4f9a-b4cc-5c530d9260de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([22.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;unknown&#x27;</div><input id='attrs-242e1528-d349-426e-86fc-ffc65c7f0f16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-242e1528-d349-426e-86fc-ffc65c7f0f16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2197f3d1-2829-4a96-8496-1a1711b032df' class='xr-var-data-in' type='checkbox'><label for='data-2197f3d1-2829-4a96-8496-1a1711b032df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>HH, HV, VH, or VV antenna orientation as described in Ersahadi et al 2022 doi:10.5194/tc-16-1719-2022</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 8.411e+03 8.411e+03</div><input id='attrs-4c40ddac-bf71-4149-8125-b0c1034cd0fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c40ddac-bf71-4149-8125-b0c1034cd0fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09cee1cb-dfc0-49ad-bc22-c6ff70782c79' class='xr-var-data-in' type='checkbox'><label for='data-09cee1cb-dfc0-49ad-bc22-c6ff70782c79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 8.410741e+03,\n",
+       "       8.410951e+03, 8.411162e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34613877-1f99-4186-820b-6f6c533a9f1a' class='xr-section-summary-in' type='checkbox'  ><label for='section-34613877-1f99-4186-820b-6f6c533a9f1a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2ae31ec7-5511-4f35-ba24-1e31003d7703' class='xr-index-data-in' type='checkbox'/><label for='index-2ae31ec7-5511-4f35-ba24-1e31003d7703' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-01-05 03:16:15&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chirp_num</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-14547b58-6081-4c02-9dae-2e3559e4e592' class='xr-index-data-in' type='checkbox'/><label for='index-14547b58-6081-4c02-9dae-2e3559e4e592' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
+       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
+       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
+       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
+       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;chirp_num&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-69a2a7a0-b596-422d-8de3-324d5923b066' class='xr-index-data-in' type='checkbox'/><label for='index-69a2a7a0-b596-422d-8de3-324d5923b066' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
        "       0.6308686733535498, 0.8411582311380664,  1.051447788922583,\n",
        "       1.2617373467070996,  1.472026904491616, 1.6823164622761329,\n",
        "       1.8926060200606494,\n",
@@ -477,41 +546,80 @@
        "        8409.899994918387,  8410.110284476172,  8410.320574033956,\n",
        "         8410.53086359174,  8410.741153149525,   8410.95144270731,\n",
        "        8411.161732265095],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=39999))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e260884-49d1-4651-bf4f-b9f13d17c33b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6e260884-49d1-4651-bf4f-b9f13d17c33b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=39999))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cbecfcd3-c7bb-401b-9758-d21e73be8444' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cbecfcd3-c7bb-401b-9758-d21e73be8444' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile</dd><dt><span>units :</span></dt><dd>-</dd><dt><span>description :</span></dt><dd>complex profile computed from the fourier transform of the de-ramped chirp</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'profile' (time: 1, attenuator_setting_pair: 1,\n",
-       "                             profile_range: 39999)> Size: 640kB\n",
-       "array([[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "         -9.27273832e-07+6.77336074e-03j,\n",
-       "         -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "         -5.21329130e-07-4.99838438e-07j,\n",
-       "          2.02641074e-07-8.46271999e-07j,\n",
-       "          1.26782906e-06-2.16599516e-08j]]])\n",
+       "<xarray.DataArray 'profile' (time: 1, chirp_num: 100,\n",
+       "                             attenuator_setting_pair: 1, profile_range: 39999)> Size: 64MB\n",
+       "array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
+       "          -9.27273832e-07+6.77336074e-03j,\n",
+       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
+       "          -5.21329130e-07-4.99838438e-07j,\n",
+       "           2.02641074e-07-8.46271999e-07j,\n",
+       "           1.26782906e-06-2.16599516e-08j]],\n",
+       "\n",
+       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
+       "          -4.65191502e-07+6.77615015e-03j,\n",
+       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
+       "          -9.08098710e-07+2.85821091e-07j,\n",
+       "          -5.30522409e-07-9.73941848e-07j,\n",
+       "           1.12872192e-06-5.98828832e-07j]],\n",
+       "\n",
+       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
+       "          -5.68561906e-07+6.77757061e-03j,\n",
+       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
+       "           1.27636810e-06-6.26149904e-07j,\n",
+       "           2.36619677e-07+1.03064573e-06j,\n",
+       "          -7.00436130e-07-4.74906535e-08j]],\n",
+       "...\n",
+       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
+       "          -1.30092000e-07+6.65786473e-03j,\n",
+       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
+       "           5.98589909e-07-3.91519477e-07j,\n",
+       "           5.05116032e-07+2.76446351e-07j,\n",
+       "           2.20810081e-07+4.90185512e-07j]],\n",
+       "\n",
+       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
+       "          -1.00088592e-08+6.65753356e-03j,\n",
+       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
+       "          -9.05339415e-08-3.53241214e-07j,\n",
+       "           2.13017850e-07+4.42310039e-08j,\n",
+       "           2.76789329e-07+1.96950921e-08j]],\n",
+       "\n",
+       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
+       "          -8.02547022e-08+6.65740261e-03j,\n",
+       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
+       "           1.40825291e-06+8.15137952e-07j,\n",
+       "          -6.98290429e-07+1.46028701e-06j,\n",
+       "          -1.34931239e-06-4.58747559e-07j]]]])\n",
        "Coordinates:\n",
        "  * time           (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
-       "    chirp_num      int64 8B 0\n",
+       "  * chirp_num      (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
        "    filename       (time) <U57 228B '../../data/sample/single_dat_file/DATA20...\n",
        "    burst_number   (time) int64 8B 0\n",
        "    AFGain         (attenuator_setting_pair) int64 8B -4\n",
        "    attenuator     (attenuator_setting_pair) float64 8B 22.0\n",
        "    orientation    (time) <U7 28B 'unknown'\n",
        "  * profile_range  (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
-       "Dimensions without coordinates: attenuator_setting_pair"
+       "Dimensions without coordinates: attenuator_setting_pair\n",
+       "Attributes:\n",
+       "    long_name:    profile\n",
+       "    units:        -\n",
+       "    description:  complex profile computed from the fourier transform of the ..."
       ]
      },
-     "execution_count": 5,
+     "execution_count": 218,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "new"
+    "ds.chirp.computeProfile()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 219,
    "metadata": {},
    "outputs": [
     {
@@ -880,79 +988,63 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 97MB\n",
-       "Dimensions:          (time: 1, chirp_time: 40001, chirp_num: 100,\n",
-       "                      attenuator_setting_pair: 1, profile_range: 39999)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;profile&#x27; (time: 1, chirp_num: 100,\n",
+       "                             attenuator_setting_pair: 1, profile_range: 39999)&gt; Size: 64MB\n",
+       "array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
+       "          -9.27273832e-07+6.77336074e-03j,\n",
+       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
+       "          -5.21329130e-07-4.99838438e-07j,\n",
+       "           2.02641074e-07-8.46271999e-07j,\n",
+       "           1.26782906e-06-2.16599516e-08j]],\n",
+       "\n",
+       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
+       "          -4.65191502e-07+6.77615015e-03j,\n",
+       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
+       "          -9.08098710e-07+2.85821091e-07j,\n",
+       "          -5.30522409e-07-9.73941848e-07j,\n",
+       "           1.12872192e-06-5.98828832e-07j]],\n",
+       "\n",
+       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
+       "          -5.68561906e-07+6.77757061e-03j,\n",
+       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
+       "           1.27636810e-06-6.26149904e-07j,\n",
+       "           2.36619677e-07+1.03064573e-06j,\n",
+       "          -7.00436130e-07-4.74906535e-08j]],\n",
+       "...\n",
+       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
+       "          -1.30092000e-07+6.65786473e-03j,\n",
+       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
+       "           5.98589909e-07-3.91519477e-07j,\n",
+       "           5.05116032e-07+2.76446351e-07j,\n",
+       "           2.20810081e-07+4.90185512e-07j]],\n",
+       "\n",
+       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
+       "          -1.00088592e-08+6.65753356e-03j,\n",
+       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
+       "          -9.05339415e-08-3.53241214e-07j,\n",
+       "           2.13017850e-07+4.42310039e-08j,\n",
+       "           2.76789329e-07+1.96950921e-08j]],\n",
+       "\n",
+       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
+       "          -8.02547022e-08+6.65740261e-03j,\n",
+       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
+       "           1.40825291e-06+8.15137952e-07j,\n",
+       "          -6.98290429e-07+1.46028701e-06j,\n",
+       "          -1.34931239e-06-4.58747559e-07j]]]])\n",
        "Coordinates:\n",
-       "  * time             (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
-       "  * chirp_time       (chirp_time) float64 320kB 0.0 2.5e-05 5e-05 ... 1.0 1.0\n",
-       "  * chirp_num        (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 94 95 96 97 98 99\n",
-       "    filename         (time) &lt;U57 228B &#x27;../../data/sample/single_dat_file/DATA...\n",
-       "    burst_number     (time) int64 8B 0\n",
-       "    AFGain           (attenuator_setting_pair) int64 8B -4\n",
-       "    attenuator       (attenuator_setting_pair) float64 8B 22.0\n",
-       "    orientation      (time) &lt;U7 28B &#x27;unknown&#x27;\n",
-       "  * profile_range    (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
+       "  * time           (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
+       "  * chirp_num      (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
+       "    filename       (time) &lt;U57 228B &#x27;../../data/sample/single_dat_file/DATA20...\n",
+       "    burst_number   (time) int64 8B 0\n",
+       "    AFGain         (attenuator_setting_pair) int64 8B -4\n",
+       "    attenuator     (attenuator_setting_pair) float64 8B 22.0\n",
+       "    orientation    (time) &lt;U7 28B &#x27;unknown&#x27;\n",
+       "  * profile_range  (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
        "Dimensions without coordinates: attenuator_setting_pair\n",
-       "Data variables:\n",
-       "    chirp            (time, chirp_time, chirp_num, attenuator_setting_pair) float64 32MB ...\n",
-       "    latitude         (time) float64 8B 0.0\n",
-       "    longitude        (time) float64 8B 0.0\n",
-       "    battery_voltage  (time) float64 8B 0.0\n",
-       "    temperature_1    (time) float64 8B 2.891\n",
-       "    temperature_2    (time) float64 8B 511.8\n",
-       "    profile          (time, chirp_num, attenuator_setting_pair, profile_range) complex128 64MB ...\n",
        "Attributes:\n",
-       "    constants:   {&#x27;c&#x27;: 300000000.0, &#x27;K&#x27;: 200000000.0, &#x27;f_1&#x27;: 200000000, &#x27;f_2&#x27;...\n",
-       "    processing:  Created on 2024-10-09 14:36:57.486737</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c1f6be3c-83a8-4d07-9015-34ed3f760cb7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c1f6be3c-83a8-4d07-9015-34ed3f760cb7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>chirp_time</span>: 40001</li><li><span class='xr-has-index'>chirp_num</span>: 100</li><li><span>attenuator_setting_pair</span>: 1</li><li><span class='xr-has-index'>profile_range</span>: 39999</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-983d3c4b-0aae-47e6-a07f-2af1e4e31a25' class='xr-section-summary-in' type='checkbox'  checked><label for='section-983d3c4b-0aae-47e6-a07f-2af1e4e31a25' class='xr-section-summary' >Coordinates: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-05T03:16:15</div><input id='attrs-bf8effcc-bb08-4887-88cd-058fd8bf8239' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf8effcc-bb08-4887-88cd-058fd8bf8239' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cfc59ac-966e-4d14-829e-5988ae61172b' class='xr-var-data-in' type='checkbox'><label for='data-9cfc59ac-966e-4d14-829e-5988ae61172b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-01-05T03:16:15.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_time</span></div><div class='xr-var-dims'>(chirp_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5e-05 5e-05 ... 1.0 1.0 1.0</div><input id='attrs-da49dd0a-ce45-42b9-88b1-efde3be0a783' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da49dd0a-ce45-42b9-88b1-efde3be0a783' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dabb029-93c7-4a1b-b519-47400dd1d0fe' class='xr-var-data-in' type='checkbox'><label for='data-0dabb029-93c7-4a1b-b519-47400dd1d0fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of samples during chirps</dd><dt><span>name :</span></dt><dd>time of samples during chirps</dd><dt><span>units :</span></dt><dd>seconds</dd></dl></div><div class='xr-var-data'><pre>array([0.00000e+00, 2.50000e-05, 5.00000e-05, ..., 9.99950e-01, 9.99975e-01,\n",
-       "       1.00000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_num</span></div><div class='xr-var-dims'>(chirp_num)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-fa7d1634-cfaf-4b3f-aa64-b264063e039e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa7d1634-cfaf-4b3f-aa64-b264063e039e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef2e9f06-3f9f-4a72-bf5b-8351400d35c5' class='xr-var-data-in' type='checkbox'><label for='data-ef2e9f06-3f9f-4a72-bf5b-8351400d35c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>chirp number</dd><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U57</div><div class='xr-var-preview xr-preview'>&#x27;../../data/sample/single_dat_fi...</div><input id='attrs-3a4be09e-b637-4aa3-80c0-84cef9c1b259' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a4be09e-b637-4aa3-80c0-84cef9c1b259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38061232-825f-44a3-a685-deaf131a0ef4' class='xr-var-data-in' type='checkbox'><label for='data-38061232-825f-44a3-a685-deaf131a0ef4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;../../data/sample/single_dat_file/DATA2023-01-05-0315.DAT&#x27;],\n",
-       "      dtype=&#x27;&lt;U57&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-a67c86bb-09f0-4a4b-bc11-c61d7dab6762' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a67c86bb-09f0-4a4b-bc11-c61d7dab6762' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ca98bc8-6ee7-488c-9c9e-d80d656b01c2' class='xr-var-data-in' type='checkbox'><label for='data-4ca98bc8-6ee7-488c-9c9e-d80d656b01c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4</div><input id='attrs-45542fec-9ea8-45b6-8479-b98517f89fd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45542fec-9ea8-45b6-8479-b98517f89fd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3752010a-26e8-42dc-a7ba-78301cef47cb' class='xr-var-data-in' type='checkbox'><label for='data-3752010a-26e8-42dc-a7ba-78301cef47cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([-4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>22.0</div><input id='attrs-145b9134-fbb8-4554-b605-1a80f62bcfec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-145b9134-fbb8-4554-b605-1a80f62bcfec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-411b4f7a-37f7-45c4-a3a1-e0f382d4d82e' class='xr-var-data-in' type='checkbox'><label for='data-411b4f7a-37f7-45c4-a3a1-e0f382d4d82e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([22.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;unknown&#x27;</div><input id='attrs-4bd5fb7c-e3a9-417b-9e7f-7e0ea3b4fe93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bd5fb7c-e3a9-417b-9e7f-7e0ea3b4fe93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c582a8e-1aaf-44b7-8e8b-2a2b2802b820' class='xr-var-data-in' type='checkbox'><label for='data-0c582a8e-1aaf-44b7-8e8b-2a2b2802b820' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>HH, HV, VH, or VV antenna orientation as described in Ersahadi et al 2022 doi:10.5194/tc-16-1719-2022</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 8.411e+03 8.411e+03</div><input id='attrs-0888f79c-43e9-433d-b280-13bffc205da1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0888f79c-43e9-433d-b280-13bffc205da1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc677e73-cbce-40f7-a48d-ae6c23bd0e45' class='xr-var-data-in' type='checkbox'><label for='data-cc677e73-cbce-40f7-a48d-ae6c23bd0e45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 8.410741e+03,\n",
-       "       8.410951e+03, 8.411162e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4386d8b-e2b2-4a98-9e8d-cb931bfd9488' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f4386d8b-e2b2-4a98-9e8d-cb931bfd9488' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>chirp</span></div><div class='xr-var-dims'>(time, chirp_time, chirp_num, attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01942 0.02129 ... -0.2618 -0.2611</div><input id='attrs-236ec481-eab2-470b-acd7-99c011dd5ac7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-236ec481-eab2-470b-acd7-99c011dd5ac7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45027e49-4032-447a-af7c-677644384e60' class='xr-var-data-in' type='checkbox'><label for='data-45027e49-4032-447a-af7c-677644384e60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>de-ramped chirp</dd><dt><span>units :</span></dt><dd>volts</dd><dt><span>description :</span></dt><dd>voltage from the analog-to-digital converter after the received signal has been mixed with the transmitted signal and the result has been filtered to leave only the low frequency compponent corresponding to the differences in the frequencies of the Tx and Rx signals</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.01941681],\n",
-       "         [ 0.02128601],\n",
-       "         [ 0.01682281],\n",
-       "         ...,\n",
-       "         [ 0.01319885],\n",
-       "         [ 0.0151825 ],\n",
-       "         [ 0.02632141]],\n",
-       "\n",
-       "        [[ 0.01327515],\n",
-       "         [ 0.01316071],\n",
-       "         [ 0.00782013],\n",
-       "         ...,\n",
-       "         [ 0.0038147 ],\n",
-       "         [ 0.00427246],\n",
-       "         [ 0.01422882]],\n",
-       "\n",
-       "        [[ 0.0112915 ],\n",
-       "         [-0.00263214],\n",
-       "         [-0.01308441],\n",
-       "         ...,\n",
-       "...\n",
-       "         ...,\n",
-       "         [ 0.09586334],\n",
-       "         [ 0.09590149],\n",
-       "         [ 0.09441376]],\n",
-       "\n",
-       "        [[ 0.09773254],\n",
-       "         [ 0.09407043],\n",
-       "         [ 0.09239197],\n",
-       "         ...,\n",
-       "         [ 0.09384155],\n",
-       "         [ 0.09468079],\n",
-       "         [ 0.09208679]],\n",
-       "\n",
-       "        [[-0.37754059],\n",
-       "         [-0.299263  ],\n",
-       "         [-0.3502655 ],\n",
-       "         ...,\n",
-       "         [-0.26863098],\n",
-       "         [-0.26184082],\n",
-       "         [-0.26107788]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-0cb20ec4-b17c-4732-bbc7-9cb1bffcb221' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cb20ec4-b17c-4732-bbc7-9cb1bffcb221' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53480912-100c-44c9-96ca-1b31b79b1f90' class='xr-var-data-in' type='checkbox'><label for='data-53480912-100c-44c9-96ca-1b31b79b1f90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>long_name :</span></dt><dd>latitude of burst</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-73819144-ee19-4caa-a1f2-1486d33f7cae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73819144-ee19-4caa-a1f2-1486d33f7cae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19430cbf-ef2d-4b09-a856-6219dbf36f08' class='xr-var-data-in' type='checkbox'><label for='data-19430cbf-ef2d-4b09-a856-6219dbf36f08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>long_name :</span></dt><dd>longitude of burst</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>battery_voltage</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-14725a14-e05c-4e15-803b-34615c03c5ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14725a14-e05c-4e15-803b-34615c03c5ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-670e6cb8-c4c9-430b-8f3c-bc243588eeb2' class='xr-var-data-in' type='checkbox'><label for='data-670e6cb8-c4c9-430b-8f3c-bc243588eeb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>volts</dd><dt><span>long_name :</span></dt><dd>battery voltage</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.891</div><input id='attrs-52324e8c-d4d1-4477-ae95-068ef2c6ba94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52324e8c-d4d1-4477-ae95-068ef2c6ba94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a13f97da-d4ea-4c50-89e8-fe75102cabb8' class='xr-var-data-in' type='checkbox'><label for='data-a13f97da-d4ea-4c50-89e8-fe75102cabb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>celsius</dd><dt><span>long_name :</span></dt><dd>temperature measured inside the ApRES unit in one location</dd></dl></div><div class='xr-var-data'><pre>array([2.89062])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>511.8</div><input id='attrs-e8a4f534-a971-4ae5-b88b-4d6b8d68629e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8a4f534-a971-4ae5-b88b-4d6b8d68629e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08cadd1b-2de2-4f00-835a-fad88fecb44f' class='xr-var-data-in' type='checkbox'><label for='data-08cadd1b-2de2-4f00-835a-fad88fecb44f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>celsius</dd><dt><span>long_name :</span></dt><dd>temperature measured inside the ApRES unit in a second location</dd></dl></div><div class='xr-var-data'><pre>array([511.828])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile</span></div><div class='xr-var-dims'>(time, chirp_num, attenuator_setting_pair, profile_range)</div><div class='xr-var-dtype'>complex128</div><div class='xr-var-preview xr-preview'>(0.007689785531887402+0j) ... (-...</div><input id='attrs-32633beb-4186-40d7-b043-39a21636fde4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32633beb-4186-40d7-b043-39a21636fde4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6866f624-02e0-43dc-b4fc-96dbe36775e0' class='xr-var-data-in' type='checkbox'><label for='data-6866f624-02e0-43dc-b4fc-96dbe36775e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile</dd><dt><span>units :</span></dt><dd>-</dd><dt><span>description :</span></dt><dd>complex profile computed from the fourier transform of the de-ramped chirp</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
+       "    long_name:    profile\n",
+       "    units:        -\n",
+       "    description:  complex profile computed from the fourier transform of the ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'profile'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>chirp_num</span>: 100</li><li><span>attenuator_setting_pair</span>: 1</li><li><span class='xr-has-index'>profile_range</span>: 39999</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1aaa741d-f295-46d1-a419-e32a9e5fe00b' class='xr-array-in' type='checkbox' checked><label for='section-1aaa741d-f295-46d1-a419-e32a9e5fe00b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>(0.007689785531887402+0j) ... (-1.3493123858953937e-06-4.5874755908...</span></div><div class='xr-array-data'><pre>array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
        "          -9.27273832e-07+6.77336074e-03j,\n",
        "          -4.56900891e-03-2.38788254e-06j, ...,\n",
        "          -5.21329130e-07-4.99838438e-07j,\n",
@@ -992,22 +1084,20 @@
        "          -4.49101016e-03-9.11393854e-07j, ...,\n",
        "           1.40825291e-06+8.15137952e-07j,\n",
        "          -6.98290429e-07+1.46028701e-06j,\n",
-       "          -1.34931239e-06-4.58747559e-07j]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed3daf6e-e821-4e92-9d47-c61fd4d4f598' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed3daf6e-e821-4e92-9d47-c61fd4d4f598' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3f4a07ec-29ff-4708-91f4-d662b174aa97' class='xr-index-data-in' type='checkbox'/><label for='index-3f4a07ec-29ff-4708-91f4-d662b174aa97' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-01-05 03:16:15&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chirp_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fd614e1b-19a8-460f-9b2f-d0fb0905e587' class='xr-index-data-in' type='checkbox'/><label for='index-fd614e1b-19a8-460f-9b2f-d0fb0905e587' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([                   0.0,                2.5e-05,                  5e-05,\n",
-       "        7.500000000000001e-05,                 0.0001,               0.000125,\n",
-       "       0.00015000000000000001,               0.000175,                 0.0002,\n",
-       "       0.00022500000000000002,\n",
-       "       ...\n",
-       "           0.9997750000000001,                 0.9998,     0.9998250000000001,\n",
-       "                      0.99985,     0.9998750000000001,                 0.9999,\n",
-       "           0.9999250000000001,                0.99995,     0.9999750000000001,\n",
-       "                          1.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;chirp_time&#x27;, length=40001))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chirp_num</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8d7c5766-8414-4b8e-8d47-82d1562ad964' class='xr-index-data-in' type='checkbox'/><label for='index-8d7c5766-8414-4b8e-8d47-82d1562ad964' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "          -1.34931239e-06-4.58747559e-07j]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-e99bd8f2-587d-4b49-bc68-8659504cfee2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e99bd8f2-587d-4b49-bc68-8659504cfee2' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-05T03:16:15</div><input id='attrs-6ca83803-79a0-4bba-bbef-f815b0c2e5a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ca83803-79a0-4bba-bbef-f815b0c2e5a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00388084-58bc-45e5-b6f7-a70bc1fb6874' class='xr-var-data-in' type='checkbox'><label for='data-00388084-58bc-45e5-b6f7-a70bc1fb6874' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-01-05T03:16:15.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_num</span></div><div class='xr-var-dims'>(chirp_num)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-12e63197-d493-4ad1-bae1-ef74bbc55dbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12e63197-d493-4ad1-bae1-ef74bbc55dbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75269de9-4420-41d7-b340-2d9ba8975fa7' class='xr-var-data-in' type='checkbox'><label for='data-75269de9-4420-41d7-b340-2d9ba8975fa7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>chirp number</dd><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
+       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
+       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
+       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
+       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U57</div><div class='xr-var-preview xr-preview'>&#x27;../../data/sample/single_dat_fi...</div><input id='attrs-1d779e2c-74ca-4e7f-904e-f84a634925c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d779e2c-74ca-4e7f-904e-f84a634925c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9428fefb-1248-4e44-8616-58229da3fd23' class='xr-var-data-in' type='checkbox'><label for='data-9428fefb-1248-4e44-8616-58229da3fd23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;../../data/sample/single_dat_file/DATA2023-01-05-0315.DAT&#x27;],\n",
+       "      dtype=&#x27;&lt;U57&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-fe3fd507-9a6d-4804-82c9-486a7781319b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe3fd507-9a6d-4804-82c9-486a7781319b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f17485e9-9b75-4527-b3e2-5dc801f2ac9d' class='xr-var-data-in' type='checkbox'><label for='data-f17485e9-9b75-4527-b3e2-5dc801f2ac9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4</div><input id='attrs-14dae067-db9c-4626-b590-640f9b5b3c18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14dae067-db9c-4626-b590-640f9b5b3c18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e81ea92-df4f-41b1-b7b2-355dcf2873af' class='xr-var-data-in' type='checkbox'><label for='data-0e81ea92-df4f-41b1-b7b2-355dcf2873af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([-4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>22.0</div><input id='attrs-cac3390e-e902-48b1-8ffe-47de1e21bc0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cac3390e-e902-48b1-8ffe-47de1e21bc0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-776a6302-065d-44e7-9abe-d011210d118d' class='xr-var-data-in' type='checkbox'><label for='data-776a6302-065d-44e7-9abe-d011210d118d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([22.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;unknown&#x27;</div><input id='attrs-bf1188c5-dca9-4387-99dc-07115a088f30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf1188c5-dca9-4387-99dc-07115a088f30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89b4ab11-b807-44d4-8aa1-2a588d2b62b3' class='xr-var-data-in' type='checkbox'><label for='data-89b4ab11-b807-44d4-8aa1-2a588d2b62b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>HH, HV, VH, or VV antenna orientation as described in Ersahadi et al 2022 doi:10.5194/tc-16-1719-2022</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 8.411e+03 8.411e+03</div><input id='attrs-3ced6fe2-c2b0-4142-b11c-484ee28c0e94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ced6fe2-c2b0-4142-b11c-484ee28c0e94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d8b2b07-ea57-49ed-b1b1-9139f945e5d6' class='xr-var-data-in' type='checkbox'><label for='data-0d8b2b07-ea57-49ed-b1b1-9139f945e5d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 8.410741e+03,\n",
+       "       8.410951e+03, 8.411162e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c0780f5-7fa0-4d93-9125-f756877e4924' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c0780f5-7fa0-4d93-9125-f756877e4924' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9e679136-7118-453f-a922-17a1c69dd33c' class='xr-index-data-in' type='checkbox'/><label for='index-9e679136-7118-453f-a922-17a1c69dd33c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-01-05 03:16:15&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chirp_num</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fc097f64-caf3-490c-b5ec-4207b2a8aa7e' class='xr-index-data-in' type='checkbox'/><label for='index-fc097f64-caf3-490c-b5ec-4207b2a8aa7e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
        "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
        "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
        "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
        "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
        "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;chirp_num&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6a0e72ea-e7d1-4f82-9376-47d59a4f13ee' class='xr-index-data-in' type='checkbox'/><label for='index-6a0e72ea-e7d1-4f82-9376-47d59a4f13ee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;chirp_num&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2bba5916-66f8-41cd-b58b-a94faf21a33a' class='xr-index-data-in' type='checkbox'/><label for='index-2bba5916-66f8-41cd-b58b-a94faf21a33a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
        "       0.6308686733535498, 0.8411582311380664,  1.051447788922583,\n",
        "       1.2617373467070996,  1.472026904491616, 1.6823164622761329,\n",
        "       1.8926060200606494,\n",
@@ -1016,65 +1106,250 @@
        "        8409.899994918387,  8410.110284476172,  8410.320574033956,\n",
        "         8410.53086359174,  8410.741153149525,   8410.95144270731,\n",
        "        8411.161732265095],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=39999))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43586e80-e10d-4c09-9067-5b9689bbeb0e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-43586e80-e10d-4c09-9067-5b9689bbeb0e' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>constants :</span></dt><dd>{&#x27;c&#x27;: 300000000.0, &#x27;K&#x27;: 200000000.0, &#x27;f_1&#x27;: 200000000, &#x27;f_2&#x27;: 400000000, &#x27;dt&#x27;: 2.5e-05, &#x27;ep&#x27;: 3.18, &#x27;B&#x27;: 200000000, &#x27;f_c&#x27;: 300000000.0}</dd><dt><span>processing :</span></dt><dd>Created on 2024-10-09 14:36:57.486737</dd></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=39999))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a6679325-c7be-4a8e-8c4a-9cb43c53e917' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6679325-c7be-4a8e-8c4a-9cb43c53e917' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile</dd><dt><span>units :</span></dt><dd>-</dd><dt><span>description :</span></dt><dd>complex profile computed from the fourier transform of the de-ramped chirp</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 97MB\n",
-       "Dimensions:          (time: 1, chirp_time: 40001, chirp_num: 100,\n",
-       "                      attenuator_setting_pair: 1, profile_range: 39999)\n",
-       "Coordinates:\n",
-       "  * time             (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
-       "  * chirp_time       (chirp_time) float64 320kB 0.0 2.5e-05 5e-05 ... 1.0 1.0\n",
-       "  * chirp_num        (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 94 95 96 97 98 99\n",
-       "    filename         (time) <U57 228B '../../data/sample/single_dat_file/DATA...\n",
-       "    burst_number     (time) int64 8B 0\n",
-       "    AFGain           (attenuator_setting_pair) int64 8B -4\n",
-       "    attenuator       (attenuator_setting_pair) float64 8B 22.0\n",
-       "    orientation      (time) <U7 28B 'unknown'\n",
-       "  * profile_range    (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
-       "Dimensions without coordinates: attenuator_setting_pair\n",
-       "Data variables:\n",
-       "    chirp            (time, chirp_time, chirp_num, attenuator_setting_pair) float64 32MB ...\n",
-       "    latitude         (time) float64 8B 0.0\n",
-       "    longitude        (time) float64 8B 0.0\n",
-       "    battery_voltage  (time) float64 8B 0.0\n",
-       "    temperature_1    (time) float64 8B 2.891\n",
-       "    temperature_2    (time) float64 8B 511.8\n",
-       "    profile          (time, chirp_num, attenuator_setting_pair, profile_range) complex128 64MB ...\n",
-       "Attributes:\n",
-       "    constants:   {'c': 300000000.0, 'K': 200000000.0, 'f_1': 200000000, 'f_2'...\n",
-       "    processing:  Created on 2024-10-09 14:36:57.486737"
-      ]
-     },
-     "execution_count": 84,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds = fd.load_all(directory='../../data/sample/single_dat_file/', legacy_fft=False, corrected_pad=True)\n",
-    "ds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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+       "<xarray.DataArray 'profile' (time: 1, chirp_num: 100,\n",
+       "                             attenuator_setting_pair: 1, profile_range: 39999)> Size: 64MB\n",
+       "array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
+       "          -9.27273832e-07+6.77336074e-03j,\n",
+       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
+       "          -5.21329130e-07-4.99838438e-07j,\n",
+       "           2.02641074e-07-8.46271999e-07j,\n",
+       "           1.26782906e-06-2.16599516e-08j]],\n",
+       "\n",
+       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
+       "          -4.65191502e-07+6.77615015e-03j,\n",
+       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
+       "          -9.08098710e-07+2.85821091e-07j,\n",
+       "          -5.30522409e-07-9.73941848e-07j,\n",
+       "           1.12872192e-06-5.98828832e-07j]],\n",
+       "\n",
+       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
+       "          -5.68561906e-07+6.77757061e-03j,\n",
+       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
+       "           1.27636810e-06-6.26149904e-07j,\n",
+       "           2.36619677e-07+1.03064573e-06j,\n",
+       "          -7.00436130e-07-4.74906535e-08j]],\n",
+       "...\n",
+       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
+       "          -1.30092000e-07+6.65786473e-03j,\n",
+       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
+       "           5.98589909e-07-3.91519477e-07j,\n",
+       "           5.05116032e-07+2.76446351e-07j,\n",
+       "           2.20810081e-07+4.90185512e-07j]],\n",
+       "\n",
+       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
+       "          -1.00088592e-08+6.65753356e-03j,\n",
+       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
+       "          -9.05339415e-08-3.53241214e-07j,\n",
+       "           2.13017850e-07+4.42310039e-08j,\n",
+       "           2.76789329e-07+1.96950921e-08j]],\n",
+       "\n",
+       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
+       "          -8.02547022e-08+6.65740261e-03j,\n",
+       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
+       "           1.40825291e-06+8.15137952e-07j,\n",
+       "          -6.98290429e-07+1.46028701e-06j,\n",
+       "          -1.34931239e-06-4.58747559e-07j]]]])\n",
+       "Coordinates:\n",
+       "  * time           (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
+       "  * chirp_num      (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
+       "    filename       (time) <U57 228B '../../data/sample/single_dat_file/DATA20...\n",
+       "    burst_number   (time) int64 8B 0\n",
+       "    AFGain         (attenuator_setting_pair) int64 8B -4\n",
+       "    attenuator     (attenuator_setting_pair) float64 8B 22.0\n",
+       "    orientation    (time) <U7 28B 'unknown'\n",
+       "  * profile_range  (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
+       "Dimensions without coordinates: attenuator_setting_pair\n",
+       "Attributes:\n",
+       "    long_name:    profile\n",
+       "    units:        -\n",
+       "    description:  complex profile computed from the fourier transform of the ..."
+      ]
+     },
+     "execution_count": 219,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds.chirp.computeProfile(constants=ds.attrs['constants'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "496 ms ± 43.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%timeit\n",
+    "ds = fd.load_all(directory='../../data/sample/single_dat_file/', legacy_fft=False)\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.73 s ± 61 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%timeit\n",
+    "ds = fd.load_all(directory='../../data/sample/single_dat_file/', legacy_fft=True, corrected_pad=True)\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "big = xa.load.load_zarr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "some = big.isel(time = slice(4000, 4100), chirp_num = 0).load()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 224,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x31b47eba0>]"
+      ]
+     },
+     "execution_count": 224,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "some.isel(time = 0, attenuator_setting_pair = 0).profile.dB().plot()\n",
+    "some.addProfileToDs(max_range = 1400).isel(time = 0, attenuator_setting_pair = 0).profile.dB().plot(xlim=(0, 10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 225,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x31b480d70>]"
+      ]
+     },
+     "execution_count": 225,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "some.addProfileToDs(crop_chirp_end = 0.5, pad_factor=2, max_range = 1400).isel(time = 0, attenuator_setting_pair = 0).profile.dB().plot(xlim=(0, 1000))\n",
+    "some.addProfileToDs(crop_chirp_end = 1, pad_factor=2, max_range = 1400).isel(time = 0, attenuator_setting_pair = 0).profile.dB().plot(xlim=(0, 1000))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 226,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "357 ms ± 4.13 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%timeit\n",
+    "some.addProfileToDs(crop_chirp_end = 1, pad_factor=2, max_range = 1400).isel(time = 0, attenuator_setting_pair = 0).profile.dB()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 227,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "23.9 ms ± 2.17 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%timeit\n",
+    "some.isel(time = 0, attenuator_setting_pair = 0).addProfileToDs(crop_chirp_end = 1, pad_factor=2, max_range = 1400).profile.dB()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 228,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
        "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
        "</symbol>\n",
        "</defs>\n",
@@ -1427,198 +1702,903 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;profile&#x27; (time: 1, chirp_num: 100,\n",
-       "                             attenuator_setting_pair: 1, profile_range: 39999)&gt; Size: 64MB\n",
-       "array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "          -9.27273832e-07+6.77336074e-03j,\n",
-       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "          -5.21329130e-07-4.99838438e-07j,\n",
-       "           2.02641074e-07-8.46271999e-07j,\n",
-       "           1.26782906e-06-2.16599516e-08j]],\n",
-       "\n",
-       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
-       "          -4.65191502e-07+6.77615015e-03j,\n",
-       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
-       "          -9.08098710e-07+2.85821091e-07j,\n",
-       "          -5.30522409e-07-9.73941848e-07j,\n",
-       "           1.12872192e-06-5.98828832e-07j]],\n",
-       "\n",
-       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
-       "          -5.68561906e-07+6.77757061e-03j,\n",
-       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
-       "           1.27636810e-06-6.26149904e-07j,\n",
-       "           2.36619677e-07+1.03064573e-06j,\n",
-       "          -7.00436130e-07-4.74906535e-08j]],\n",
-       "...\n",
-       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
-       "          -1.30092000e-07+6.65786473e-03j,\n",
-       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
-       "           5.98589909e-07-3.91519477e-07j,\n",
-       "           5.05116032e-07+2.76446351e-07j,\n",
-       "           2.20810081e-07+4.90185512e-07j]],\n",
-       "\n",
-       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
-       "          -1.00088592e-08+6.65753356e-03j,\n",
-       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
-       "          -9.05339415e-08-3.53241214e-07j,\n",
-       "           2.13017850e-07+4.42310039e-08j,\n",
-       "           2.76789329e-07+1.96950921e-08j]],\n",
-       "\n",
-       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
-       "          -8.02547022e-08+6.65740261e-03j,\n",
-       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
-       "           1.40825291e-06+8.15137952e-07j,\n",
-       "          -6.98290429e-07+1.46028701e-06j,\n",
-       "          -1.34931239e-06-4.58747559e-07j]]]])\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;profile&#x27; (profile_range: 6658)&gt; Size: 53kB\n",
+       "array([-39.63941036, -40.73249863, -44.1171499 , ..., -91.39162851,\n",
+       "       -99.11176045, -99.4842075 ])\n",
        "Coordinates:\n",
-       "  * time           (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
-       "  * chirp_num      (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
-       "    filename       (time) &lt;U57 228B &#x27;../../data/sample/single_dat_file/DATA20...\n",
-       "    burst_number   (time) int64 8B 0\n",
-       "    AFGain         (attenuator_setting_pair) int64 8B -4\n",
-       "    attenuator     (attenuator_setting_pair) float64 8B 22.0\n",
-       "    orientation    (time) &lt;U7 28B &#x27;unknown&#x27;\n",
-       "  * profile_range  (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
-       "Dimensions without coordinates: attenuator_setting_pair\n",
-       "Attributes:\n",
-       "    long_name:    profile\n",
-       "    units:        -\n",
-       "    description:  complex profile computed from the fourier transform of the ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'profile'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>chirp_num</span>: 100</li><li><span>attenuator_setting_pair</span>: 1</li><li><span class='xr-has-index'>profile_range</span>: 39999</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f39f48b0-83c7-4b69-9006-93ad536b18f1' class='xr-array-in' type='checkbox' checked><label for='section-f39f48b0-83c7-4b69-9006-93ad536b18f1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>(0.007689785531887402+0j) ... (-1.3493123858953937e-06-4.5874755908...</span></div><div class='xr-array-data'><pre>array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "          -9.27273832e-07+6.77336074e-03j,\n",
-       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "          -5.21329130e-07-4.99838438e-07j,\n",
-       "           2.02641074e-07-8.46271999e-07j,\n",
-       "           1.26782906e-06-2.16599516e-08j]],\n",
+       "    AFGain         int64 8B -4\n",
+       "    attenuator     float64 8B 5.0\n",
+       "    burst_number   int64 8B 38\n",
+       "    chirp_num      int64 8B 0\n",
+       "    filename       &lt;U83 332B &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR202...\n",
+       "    time           datetime64[ns] 8B 2022-07-07T04:06:57\n",
+       "  * profile_range  (profile_range) float64 53kB 0.0 0.2103 ... 1.4e+03 1.4e+03</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'profile'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>profile_range</span>: 6658</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c69806e1-0685-4c2c-aed7-f38b5c521dd7' class='xr-array-in' type='checkbox' checked><label for='section-c69806e1-0685-4c2c-aed7-f38b5c521dd7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-39.64 -40.73 -44.12 -50.17 -59.78 ... -90.09 -91.39 -99.11 -99.48</span></div><div class='xr-array-data'><pre>array([-39.63941036, -40.73249863, -44.1171499 , ..., -91.39162851,\n",
+       "       -99.11176045, -99.4842075 ])</pre></div></div></li><li class='xr-section-item'><input id='section-f814ba4c-1210-4bd7-a2a0-738950a57e75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f814ba4c-1210-4bd7-a2a0-738950a57e75' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4</div><input id='attrs-94a01ccc-e9dc-4a10-bee3-2d53b869936e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94a01ccc-e9dc-4a10-bee3-2d53b869936e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a916a547-dd07-47f6-b178-43e57e8a7ea9' class='xr-var-data-in' type='checkbox'><label for='data-a916a547-dd07-47f6-b178-43e57e8a7ea9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array(-4)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0</div><input id='attrs-2fd5cb94-124d-46f0-8c7e-8ca8221fdad8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fd5cb94-124d-46f0-8c7e-8ca8221fdad8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39e0edae-aaf0-4a20-9a0e-050c367a884e' class='xr-var-data-in' type='checkbox'><label for='data-39e0edae-aaf0-4a20-9a0e-050c367a884e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array(5.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>38</div><input id='attrs-7c778422-e409-4085-a8ec-10c873f0a225' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c778422-e409-4085-a8ec-10c873f0a225' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee05a07a-b74d-4d02-8750-00c48fd29a42' class='xr-var-data-in' type='checkbox'><label for='data-ee05a07a-b74d-4d02-8750-00c48fd29a42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array(38)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chirp_num</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-2a3ed4fc-ff6c-4c87-8c3e-c64d12c24b7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a3ed4fc-ff6c-4c87-8c3e-c64d12c24b7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f557005-7db4-47fd-a824-f00924a5b77b' class='xr-var-data-in' type='checkbox'><label for='data-8f557005-7db4-47fd-a824-f00924a5b77b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd><dt><span>long_name :</span></dt><dd>chirp number</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U83</div><div class='xr-var-preview xr-preview'>&#x27;ldeo-glaciology/GL_apres_2022/A...</div><input id='attrs-587b6409-2665-4b17-bae8-961d41639d6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-587b6409-2665-4b17-bae8-961d41639d6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98b63c7b-cf59-43cb-9835-7447ef94094c' class='xr-var-data-in' type='checkbox'><label for='data-98b63c7b-cf59-43cb-9835-7447ef94094c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "      dtype=&#x27;&lt;U83&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-07-07T04:06:57</div><input id='attrs-0fb0380e-1a9b-4139-b558-ce5203d5638a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fb0380e-1a9b-4139-b558-ce5203d5638a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e7f6db6-2589-4eda-b4cc-f74e180b595e' class='xr-var-data-in' type='checkbox'><label for='data-8e7f6db6-2589-4eda-b4cc-f74e180b595e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-07-07T04:06:57.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 1.4e+03 1.4e+03</div><input id='attrs-b95c3061-cd6d-47dc-b84c-1aed71e96314' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b95c3061-cd6d-47dc-b84c-1aed71e96314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-809da32a-6234-47ff-b2a5-0c5643df542e' class='xr-var-data-in' type='checkbox'><label for='data-809da32a-6234-47ff-b2a5-0c5643df542e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 1.399477e+03,\n",
+       "       1.399687e+03, 1.399898e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b02d837c-f920-4f33-8df1-ec11770d54d1' class='xr-section-summary-in' type='checkbox'  ><label for='section-b02d837c-f920-4f33-8df1-ec11770d54d1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3cadd83f-532e-4837-ad1b-66a71be9d577' class='xr-index-data-in' type='checkbox'/><label for='index-3cadd83f-532e-4837-ad1b-66a71be9d577' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
+       "       0.6308686733535498, 0.8411582311380664,  1.051447788922583,\n",
+       "       1.2617373467070996,  1.472026904491616, 1.6823164622761329,\n",
+       "       1.8926060200606494,\n",
+       "       ...\n",
+       "       1398.0049801514663, 1398.2152697092508, 1398.4255592670354,\n",
+       "         1398.63584882482, 1398.8461383826043, 1399.0564279403889,\n",
+       "       1399.2667174981734,  1399.477007055958, 1399.6872966137425,\n",
+       "       1399.8975861715269],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=6658))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48b59363-f2a0-40d5-b839-9875f1af77c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-48b59363-f2a0-40d5-b839-9875f1af77c0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'profile' (profile_range: 6658)> Size: 53kB\n",
+       "array([-39.63941036, -40.73249863, -44.1171499 , ..., -91.39162851,\n",
+       "       -99.11176045, -99.4842075 ])\n",
+       "Coordinates:\n",
+       "    AFGain         int64 8B -4\n",
+       "    attenuator     float64 8B 5.0\n",
+       "    burst_number   int64 8B 38\n",
+       "    chirp_num      int64 8B 0\n",
+       "    filename       <U83 332B 'ldeo-glaciology/GL_apres_2022/A101/CardA/DIR202...\n",
+       "    time           datetime64[ns] 8B 2022-07-07T04:06:57\n",
+       "  * profile_range  (profile_range) float64 53kB 0.0 0.2103 ... 1.4e+03 1.4e+03"
+      ]
+     },
+     "execution_count": 228,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "some.isel(time = 0, attenuator_setting_pair = 0).addProfileToDs(crop_chirp_end = 1, pad_factor=2, max_range = 1400).profile.dB()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "some.isel(time = slice(0,10), attenuator_setting_pair = 0)\\\n",
+    "        .addProfileToDs(max_range = 1400)\\\n",
+    "        .profile.displacement_timeseries()\\\n",
+    "        .displacement.plot(x = 'time', y = 'bin_depth', yincrease = False, vmin = -0.01, vmax = 0.01);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 242,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x30b9654c0>"
+      ]
+     },
+     "execution_count": 242,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "some.isel(time = slice(0,10), attenuator_setting_pair = 0).chirp.computeProfile(max_range=1500, crop_chirp_start = 0.8).dB().plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 233,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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-       "           1.40825291e-06+8.15137952e-07j,\n",
-       "          -6.98290429e-07+1.46028701e-06j,\n",
-       "          -1.34931239e-06-4.58747559e-07j]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-e42ac8b8-a814-4e0f-97fd-f4ed90a57d33' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e42ac8b8-a814-4e0f-97fd-f4ed90a57d33' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-05T03:16:15</div><input id='attrs-eb8a9dc3-0a67-47ad-a04b-43f53066f6e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb8a9dc3-0a67-47ad-a04b-43f53066f6e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83582d39-af01-4a67-a2ee-23d38cb339d2' class='xr-var-data-in' type='checkbox'><label for='data-83582d39-af01-4a67-a2ee-23d38cb339d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-01-05T03:16:15.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_num</span></div><div class='xr-var-dims'>(chirp_num)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-ab819a65-4e68-43e8-a9e5-95ea0066da83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab819a65-4e68-43e8-a9e5-95ea0066da83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9957d18b-683d-4aa1-887c-7241d5110158' class='xr-var-data-in' type='checkbox'><label for='data-9957d18b-683d-4aa1-887c-7241d5110158' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>chirp number</dd><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U57</div><div class='xr-var-preview xr-preview'>&#x27;../../data/sample/single_dat_fi...</div><input id='attrs-9320bd65-ada9-4678-9eec-831afb6752a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9320bd65-ada9-4678-9eec-831afb6752a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51e61cf1-e33f-4339-aca5-263a6811bb5f' class='xr-var-data-in' type='checkbox'><label for='data-51e61cf1-e33f-4339-aca5-263a6811bb5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;../../data/sample/single_dat_file/DATA2023-01-05-0315.DAT&#x27;],\n",
-       "      dtype=&#x27;&lt;U57&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-01f2160e-c0ad-47b0-9206-2e6c91d5690b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01f2160e-c0ad-47b0-9206-2e6c91d5690b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcd49427-b4f6-4ec7-8f07-c2695ebf686c' class='xr-var-data-in' type='checkbox'><label for='data-bcd49427-b4f6-4ec7-8f07-c2695ebf686c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4</div><input id='attrs-ac6a6532-9833-42a4-b6cc-16b60ad1854a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac6a6532-9833-42a4-b6cc-16b60ad1854a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dec0b51-c7e4-4ba3-a152-e513488252e3' class='xr-var-data-in' type='checkbox'><label for='data-4dec0b51-c7e4-4ba3-a152-e513488252e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([-4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>22.0</div><input id='attrs-ff270f44-1f3b-4eac-adf7-71579f827b33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff270f44-1f3b-4eac-adf7-71579f827b33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b402f87f-589d-47f7-a002-4950e4cbcc32' class='xr-var-data-in' type='checkbox'><label for='data-b402f87f-589d-47f7-a002-4950e4cbcc32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([22.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;unknown&#x27;</div><input id='attrs-504f942e-1b0d-4228-93bb-81f73fb02dca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-504f942e-1b0d-4228-93bb-81f73fb02dca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aba13e12-8358-4e6f-8294-34f9020c4b5f' class='xr-var-data-in' type='checkbox'><label for='data-aba13e12-8358-4e6f-8294-34f9020c4b5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>HH, HV, VH, or VV antenna orientation as described in Ersahadi et al 2022 doi:10.5194/tc-16-1719-2022</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 8.411e+03 8.411e+03</div><input id='attrs-43b90cc2-3fce-47f6-9a62-d3e35fcbbce0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43b90cc2-3fce-47f6-9a62-d3e35fcbbce0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32645e1a-8f8b-4d6d-aa0d-323e4a8ca775' class='xr-var-data-in' type='checkbox'><label for='data-32645e1a-8f8b-4d6d-aa0d-323e4a8ca775' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 8.410741e+03,\n",
-       "       8.410951e+03, 8.411162e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90e6b1da-d8d2-49ee-9e61-9b516a130201' class='xr-section-summary-in' type='checkbox'  ><label for='section-90e6b1da-d8d2-49ee-9e61-9b516a130201' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ab651bb-fec1-4792-86b0-9ce9bcbe6b80' class='xr-index-data-in' type='checkbox'/><label for='index-5ab651bb-fec1-4792-86b0-9ce9bcbe6b80' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-01-05 03:16:15&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chirp_num</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7fa7011c-0382-458d-9280-a1484d728e9e' class='xr-index-data-in' type='checkbox'/><label for='index-7fa7011c-0382-458d-9280-a1484d728e9e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;chirp_num&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-36f0cefd-bc16-4c0a-b9b5-396d9dab5bfb' class='xr-index-data-in' type='checkbox'/><label for='index-36f0cefd-bc16-4c0a-b9b5-396d9dab5bfb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 107MB\n",
+       "Dimensions:          (attenuator_setting_pair: 2, time: 100, chirp_time: 40001,\n",
+       "                      profile_range: 6658)\n",
+       "Coordinates:\n",
+       "    AFGain           (attenuator_setting_pair) int64 16B -4 -14\n",
+       "    attenuator       (attenuator_setting_pair) float64 16B 5.0 5.0\n",
+       "    burst_number     (time) int64 800B 38 39 40 41 42 43 ... 38 39 40 41 42 43\n",
+       "    chirp_num        int64 8B 0\n",
+       "  * chirp_time       (chirp_time) timedelta64[ns] 320kB 00:00:00 ... 00:00:01\n",
+       "    filename         (time) &lt;U83 33kB &#x27;ldeo-glaciology/GL_apres_2022/A101/Car...\n",
+       "  * profile_range    (profile_range) float64 53kB 0.0 0.2103 ... 1.4e+03 1.4e+03\n",
+       "  * time             (time) datetime64[ns] 800B 2022-07-07T04:06:57 ... 2022-...\n",
+       "Dimensions without coordinates: attenuator_setting_pair\n",
+       "Data variables:\n",
+       "    battery_voltage  (time) float64 800B 13.35 13.35 13.35 ... 13.35 13.35 13.37\n",
+       "    chirp            (time, chirp_time, attenuator_setting_pair) float64 64MB ...\n",
+       "    latitude         (time) float64 800B 68.71 68.71 68.71 ... 68.71 68.71 68.71\n",
+       "    longitude        (time) float64 800B -49.55 -49.55 -49.55 ... -49.55 -49.55\n",
+       "    profile          (time, profile_range, attenuator_setting_pair) complex128 21MB ...\n",
+       "    profile_stacked  (time, profile_range, attenuator_setting_pair) complex128 21MB ...\n",
+       "    temperature_1    (time) float64 800B 11.83 8.5 6.344 ... 10.26 12.02 11.83\n",
+       "    temperature_2    (time) float64 800B 508.8 511.1 1.078 ... 0.2891 1.078</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2ec4e2b8-a1b3-44a4-aca1-f89157352423' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2ec4e2b8-a1b3-44a4-aca1-f89157352423' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>attenuator_setting_pair</span>: 2</li><li><span class='xr-has-index'>time</span>: 100</li><li><span class='xr-has-index'>chirp_time</span>: 40001</li><li><span class='xr-has-index'>profile_range</span>: 6658</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-48ae7271-58d5-4648-971a-2b66dcb86fe3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48ae7271-58d5-4648-971a-2b66dcb86fe3' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4 -14</div><input id='attrs-93ab088f-1cc5-4508-99c5-19c055b4a64e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93ab088f-1cc5-4508-99c5-19c055b4a64e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bbe5ce8-dd63-4ec7-b20a-4102e7b83f78' class='xr-var-data-in' type='checkbox'><label for='data-9bbe5ce8-dd63-4ec7-b20a-4102e7b83f78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([ -4, -14])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 5.0</div><input id='attrs-b203458c-68af-43d8-83b3-d0c3f6caa7c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b203458c-68af-43d8-83b3-d0c3f6caa7c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d362598-16e0-4cc9-8980-02eaef81acd4' class='xr-var-data-in' type='checkbox'><label for='data-2d362598-16e0-4cc9-8980-02eaef81acd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([5., 5.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>38 39 40 41 42 ... 39 40 41 42 43</div><input id='attrs-3fd88102-21c6-4192-ba41-c989e4545345' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd88102-21c6-4192-ba41-c989e4545345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-334e96ee-04e6-42dc-9418-11ee08c1af26' class='xr-var-data-in' type='checkbox'><label for='data-334e96ee-04e6-42dc-9418-11ee08c1af26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array([38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n",
+       "       55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
+       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88,\n",
+       "       89, 90, 91, 92, 93,  0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11,\n",
+       "       12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,\n",
+       "       29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chirp_num</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-727be942-1872-41d5-ba7d-851ac4bd53f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-727be942-1872-41d5-ba7d-851ac4bd53f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c1760fb-463f-4591-baf6-ae40e9c1ee16' class='xr-var-data-in' type='checkbox'><label for='data-5c1760fb-463f-4591-baf6-ae40e9c1ee16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd><dt><span>long_name :</span></dt><dd>chirp number</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_time</span></div><div class='xr-var-dims'>(chirp_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00 ... 00:00:01</div><input id='attrs-60991453-7afd-4d35-8870-385a9e101e7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60991453-7afd-4d35-8870-385a9e101e7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15373d22-fc62-479a-a293-68ae01432aa7' class='xr-var-data-in' type='checkbox'><label for='data-15373d22-fc62-479a-a293-68ae01432aa7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of samples during chirps</dd><dt><span>name :</span></dt><dd>time of samples during chirps</dd></dl></div><div class='xr-var-data'><pre>array([         0,      25000,      50000, ...,  999950000,  999975000,\n",
+       "       1000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U83</div><div class='xr-var-preview xr-preview'>&#x27;ldeo-glaciology/GL_apres_2022/A...</div><input id='attrs-93a2f0b4-5255-4865-ae66-4b115436915f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93a2f0b4-5255-4865-ae66-4b115436915f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a7325a3-bebf-481a-b24f-e7d083c34996' class='xr-var-data-in' type='checkbox'><label for='data-8a7325a3-bebf-481a-b24f-e7d083c34996' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;,\n",
+       "...\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;,\n",
+       "       &#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-07-1806.DAT&#x27;],\n",
+       "      dtype=&#x27;&lt;U83&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 1.4e+03 1.4e+03</div><input id='attrs-1f66a609-fce2-4c81-b7a0-fba0cc983ffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f66a609-fce2-4c81-b7a0-fba0cc983ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a55516f6-9821-4bda-b65e-d721946452e4' class='xr-var-data-in' type='checkbox'><label for='data-a55516f6-9821-4bda-b65e-d721946452e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 1.399477e+03,\n",
+       "       1.399687e+03, 1.399898e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-07-07T04:06:57 ... 2022-07-...</div><input id='attrs-53dc882b-4891-4275-909c-27f900900bec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53dc882b-4891-4275-909c-27f900900bec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87838e64-1b20-4a72-9932-53d3010015d7' class='xr-var-data-in' type='checkbox'><label for='data-87838e64-1b20-4a72-9932-53d3010015d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-07-07T04:06:57.000000000&#x27;, &#x27;2022-07-07T04:21:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T04:36:48.000000000&#x27;, &#x27;2022-07-07T04:51:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T05:07:05.000000000&#x27;, &#x27;2022-07-07T05:21:53.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T05:36:48.000000000&#x27;, &#x27;2022-07-07T05:51:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T06:06:57.000000000&#x27;, &#x27;2022-07-07T06:21:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T06:36:48.000000000&#x27;, &#x27;2022-07-07T06:51:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T07:06:48.000000000&#x27;, &#x27;2022-07-07T07:21:53.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T07:36:51.000000000&#x27;, &#x27;2022-07-07T07:51:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T08:06:59.000000000&#x27;, &#x27;2022-07-07T08:21:58.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T08:37:21.000000000&#x27;, &#x27;2022-07-07T08:51:46.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T09:06:46.000000000&#x27;, &#x27;2022-07-07T09:21:46.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T09:36:48.000000000&#x27;, &#x27;2022-07-07T09:51:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T10:06:47.000000000&#x27;, &#x27;2022-07-07T10:21:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T10:36:47.000000000&#x27;, &#x27;2022-07-07T10:51:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T11:06:47.000000000&#x27;, &#x27;2022-07-07T11:21:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T11:36:48.000000000&#x27;, &#x27;2022-07-07T11:51:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T12:06:47.000000000&#x27;, &#x27;2022-07-07T12:21:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T12:36:48.000000000&#x27;, &#x27;2022-07-07T12:51:49.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T13:06:53.000000000&#x27;, &#x27;2022-07-07T13:21:53.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T13:36:57.000000000&#x27;, &#x27;2022-07-07T13:51:58.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T14:06:57.000000000&#x27;, &#x27;2022-07-07T14:21:57.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T14:36:57.000000000&#x27;, &#x27;2022-07-07T14:52:07.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T15:06:50.000000000&#x27;, &#x27;2022-07-07T15:21:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T15:36:48.000000000&#x27;, &#x27;2022-07-07T15:51:57.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T16:07:20.000000000&#x27;, &#x27;2022-07-07T16:21:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T16:36:47.000000000&#x27;, &#x27;2022-07-07T16:51:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T17:06:48.000000000&#x27;, &#x27;2022-07-07T17:21:57.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T17:36:57.000000000&#x27;, &#x27;2022-07-07T17:51:49.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T18:06:55.000000000&#x27;, &#x27;2022-07-07T18:21:54.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T18:36:51.000000000&#x27;, &#x27;2022-07-07T18:51:51.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T19:06:50.000000000&#x27;, &#x27;2022-07-07T19:22:00.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T19:36:57.000000000&#x27;, &#x27;2022-07-07T19:52:20.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T20:06:57.000000000&#x27;, &#x27;2022-07-07T20:21:57.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T20:36:57.000000000&#x27;, &#x27;2022-07-07T20:51:57.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T21:06:57.000000000&#x27;, &#x27;2022-07-07T21:21:57.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T21:36:57.000000000&#x27;, &#x27;2022-07-07T21:51:57.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T22:06:57.000000000&#x27;, &#x27;2022-07-07T22:21:57.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T22:37:05.000000000&#x27;, &#x27;2022-07-07T22:52:20.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T23:06:46.000000000&#x27;, &#x27;2022-07-07T23:21:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-07T23:36:47.000000000&#x27;, &#x27;2022-07-07T23:51:46.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T00:06:46.000000000&#x27;, &#x27;2022-07-08T00:21:46.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T00:36:46.000000000&#x27;, &#x27;2022-07-08T00:51:50.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T01:06:46.000000000&#x27;, &#x27;2022-07-08T01:21:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T01:36:57.000000000&#x27;, &#x27;2022-07-08T01:51:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T02:06:48.000000000&#x27;, &#x27;2022-07-08T02:21:58.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T02:37:20.000000000&#x27;, &#x27;2022-07-08T02:51:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T03:06:48.000000000&#x27;, &#x27;2022-07-08T03:21:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T03:36:47.000000000&#x27;, &#x27;2022-07-08T03:51:48.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T04:06:48.000000000&#x27;, &#x27;2022-07-08T04:21:47.000000000&#x27;,\n",
+       "       &#x27;2022-07-08T04:36:48.000000000&#x27;, &#x27;2022-07-08T04:51:49.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb368d84-0303-4d26-8ff9-c2e9a8d4a441' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eb368d84-0303-4d26-8ff9-c2e9a8d4a441' class='xr-section-summary' >Data variables: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>battery_voltage</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.35 13.35 13.35 ... 13.35 13.37</div><input id='attrs-65fbca48-7bb8-49c2-9eb7-5e0d2b9dabd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65fbca48-7bb8-49c2-9eb7-5e0d2b9dabd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fe1fde8-9ad4-479b-85e3-3722c51e50f4' class='xr-var-data-in' type='checkbox'><label for='data-1fe1fde8-9ad4-479b-85e3-3722c51e50f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>battery voltage</dd><dt><span>units :</span></dt><dd>volts</dd></dl></div><div class='xr-var-data'><pre>array([13.3499, 13.3499, 13.3539, 13.3579, 13.3579, 13.366 , 13.3901,\n",
+       "       13.5553, 13.7245, 13.6963, 13.6842, 13.652 , 13.652 , 13.6278,\n",
+       "       13.6077, 13.6117, 13.5875, 13.5875, 13.5956, 13.5754, 13.5754,\n",
+       "       13.5553, 13.5634, 13.5553, 13.5392, 13.5392, 13.5352, 13.519 ,\n",
+       "       13.5029, 13.507 , 13.4828, 13.4586, 13.4465, 13.4264, 13.4062,\n",
+       "       13.3861, 13.37  , 13.3539, 13.3297, 13.3096, 13.2975, 13.2854,\n",
+       "       13.2773, 13.2653, 13.2572, 13.2612, 13.2612, 13.2612, 13.2612,\n",
+       "       13.2733, 13.2773, 13.3015, 13.2975, 13.3015, 13.3096, 13.3136,\n",
+       "       13.3337, 13.3337, 13.3337, 13.3297, 13.3055, 13.3015, 13.2935,\n",
+       "       13.2894, 13.2773, 13.2975, 13.2975, 13.3136, 13.3257, 13.3458,\n",
+       "       13.37  , 13.37  , 13.3337, 13.3217, 13.3096, 13.3136, 13.3176,\n",
+       "       13.3539, 13.4022, 13.4304, 13.4385, 13.4586, 13.5231, 13.5311,\n",
+       "       13.5472, 13.5674, 13.5754, 13.5996, 13.6318, 13.6802, 13.8212,\n",
+       "       13.7648, 13.5593, 13.4385, 13.3901, 13.37  , 13.3619, 13.3539,\n",
+       "       13.3539, 13.366 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chirp</span></div><div class='xr-var-dims'>(time, chirp_time, attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.06645 0.03002 ... 0.7323 0.2502</div><input id='attrs-9eb04542-2bba-418b-82b6-8d16342d2223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eb04542-2bba-418b-82b6-8d16342d2223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70501896-e689-4ad5-96ed-f9fd87a367b3' class='xr-var-data-in' type='checkbox'><label for='data-70501896-e689-4ad5-96ed-f9fd87a367b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>voltage from the analog-to-digital converter after the received signal has been mixed with the transmitted signal and the result has been filtered to leave only the low frequency compponent corresponding to the differences in the frequencies of the Tx and Rx signals</dd><dt><span>long_name :</span></dt><dd>de-ramped chirp</dd><dt><span>units :</span></dt><dd>volts</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.06645203,  0.03002167],\n",
+       "        [-0.26245117, -0.00312805],\n",
+       "        [-0.95005035, -0.1486969 ],\n",
+       "        ...,\n",
+       "        [ 0.12737274,  0.06076813],\n",
+       "        [ 0.14736176,  0.06679535],\n",
+       "        [ 0.86097717,  0.29182434]],\n",
+       "\n",
+       "       [[ 0.07862091,  0.09254456],\n",
+       "        [ 0.00289917,  0.03528595],\n",
+       "        [-0.34976959, -0.14507294],\n",
+       "        ...,\n",
+       "        [ 0.13275146,  0.06019592],\n",
+       "        [ 0.14980316,  0.06835938],\n",
+       "        [ 0.86277008,  0.29258728]],\n",
+       "\n",
+       "       [[-0.07946014,  0.00164032],\n",
+       "        [-0.21629333, -0.01647949],\n",
+       "        [-0.65601349, -0.09838104],\n",
+       "        ...,\n",
+       "...\n",
+       "        ...,\n",
+       "        [ 0.08327484,  0.04482269],\n",
+       "        [ 0.08625031,  0.04608154],\n",
+       "        [ 0.1625824 ,  0.09456635]],\n",
+       "\n",
+       "       [[-0.06969452,  0.03421783],\n",
+       "        [-0.20954132, -0.04768372],\n",
+       "        [-0.82393646, -0.31906128],\n",
+       "        ...,\n",
+       "        [ 0.06134033,  0.03799438],\n",
+       "        [ 0.08758545,  0.04348755],\n",
+       "        [ 0.68904877,  0.22281647]],\n",
+       "\n",
+       "       [[ 0.04238129,  0.02914429],\n",
+       "        [-0.13736725, -0.01651764],\n",
+       "        [-0.84247589, -0.21141052],\n",
+       "        ...,\n",
+       "        [ 0.06591797,  0.03631592],\n",
+       "        [ 0.06782532,  0.03864288],\n",
+       "        [ 0.73230743,  0.25024414]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>68.71 68.71 68.71 ... 68.71 68.71</div><input id='attrs-ef805395-055c-436c-b7a6-630ae218a183' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef805395-055c-436c-b7a6-630ae218a183' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83f0f608-15c7-4828-965b-a20d1669e1e2' class='xr-var-data-in' type='checkbox'><label for='data-83f0f608-15c7-4828-965b-a20d1669e1e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of burst</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([68.7103, 68.7103, 68.7103, 68.7102, 68.7106, 68.7103, 68.7102,\n",
+       "       68.7101, 68.7106, 68.71  , 68.71  , 68.7101, 68.7102, 68.71  ,\n",
+       "       68.7104, 68.7104, 68.711 , 68.7118, 68.7102, 68.7102, 68.7101,\n",
+       "       68.7102, 68.7101, 68.7101, 68.7101, 68.7101, 68.7103, 68.7103,\n",
+       "       68.7103, 68.7102, 68.7102, 68.7103, 68.7104, 68.7104, 68.7104,\n",
+       "       68.7105, 68.7104, 68.7104, 68.7101, 68.7102, 68.7102, 68.7102,\n",
+       "       68.7102, 68.7102, 68.7099, 68.7097, 68.7097, 68.7098, 68.7101,\n",
+       "       68.7101, 68.7101, 68.7102, 68.7101, 68.7101, 68.7102, 68.7102,\n",
+       "       68.7102, 68.7101, 68.7101, 68.7102, 68.7101, 68.7102, 68.7101,\n",
+       "       68.7101, 68.7101, 68.7101, 68.7101, 68.7101, 68.7101, 68.7101,\n",
+       "       68.7101, 68.7101, 68.7101, 68.7101, 68.7102, 68.7101, 68.7101,\n",
+       "       68.7101, 68.7101, 68.7102, 68.7101, 68.7098, 68.7101, 68.7102,\n",
+       "       68.7103, 68.7101, 68.71  , 68.7101, 68.7102, 68.7101, 68.7102,\n",
+       "       68.7102, 68.7102, 68.7102, 68.7102, 68.7102, 68.7102, 68.7103,\n",
+       "       68.7103, 68.7103])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-49.55 -49.55 ... -49.55 -49.55</div><input id='attrs-27aa778d-e19d-46a1-b439-c4a7a73f4a2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27aa778d-e19d-46a1-b439-c4a7a73f4a2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f74b92f-2a7e-4660-8b8f-9024ae0d6bbe' class='xr-var-data-in' type='checkbox'><label for='data-3f74b92f-2a7e-4660-8b8f-9024ae0d6bbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of burst</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([-49.5541, -49.5542, -49.5541, -49.5541, -49.5532, -49.554 ,\n",
+       "       -49.554 , -49.554 , -49.5536, -49.5536, -49.5534, -49.5533,\n",
+       "       -49.5534, -49.5529, -49.5538, -49.5538, -49.5551, -49.5574,\n",
+       "       -49.5537, -49.5536, -49.5539, -49.5538, -49.5539, -49.5538,\n",
+       "       -49.5538, -49.5538, -49.5541, -49.554 , -49.5539, -49.5539,\n",
+       "       -49.5538, -49.5539, -49.5541, -49.5538, -49.5537, -49.5534,\n",
+       "       -49.5534, -49.5534, -49.5535, -49.5534, -49.5534, -49.5536,\n",
+       "       -49.5534, -49.5535, -49.5544, -49.5541, -49.554 , -49.5542,\n",
+       "       -49.5537, -49.5537, -49.5537, -49.5537, -49.5537, -49.5537,\n",
+       "       -49.5536, -49.5538, -49.5538, -49.5539, -49.5539, -49.554 ,\n",
+       "       -49.5538, -49.5542, -49.554 , -49.5537, -49.5537, -49.5537,\n",
+       "       -49.5537, -49.5537, -49.5537, -49.5537, -49.5537, -49.5537,\n",
+       "       -49.5537, -49.5537, -49.5538, -49.5537, -49.5536, -49.5537,\n",
+       "       -49.5537, -49.5535, -49.5536, -49.5538, -49.5537, -49.5537,\n",
+       "       -49.5539, -49.5538, -49.5535, -49.5536, -49.5536, -49.5536,\n",
+       "       -49.5537, -49.5537, -49.5536, -49.5537, -49.5538, -49.5539,\n",
+       "       -49.554 , -49.554 , -49.5542, -49.5542])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile</span></div><div class='xr-var-dims'>(time, profile_range, attenuator_setting_pair)</div><div class='xr-var-dtype'>complex128</div><div class='xr-var-preview xr-preview'>(0.010433534982058934+0j) ... (4...</div><input id='attrs-880eb06d-a842-4ca9-80f4-460947b39aa6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-880eb06d-a842-4ca9-80f4-460947b39aa6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2211b2cc-3f24-4207-b249-8f5ed6ad2546' class='xr-var-data-in' type='checkbox'><label for='data-2211b2cc-3f24-4207-b249-8f5ed6ad2546' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>complex profile computed from the fourier transform of the de-ramped chirp</dd><dt><span>long_name :</span></dt><dd>profile</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>array([[[ 1.04335350e-02+0.00000000e+00j,\n",
+       "          1.08030209e-02+0.00000000e+00j],\n",
+       "        [ 2.44385795e-05+9.20088096e-03j,\n",
+       "          2.94779759e-06+9.51979237e-03j],\n",
+       "        [-6.23462775e-03+2.96215326e-05j,\n",
+       "         -6.43314503e-03+4.35861217e-06j],\n",
+       "        ...,\n",
+       "        [-1.85920782e-05+3.15539952e-06j,\n",
+       "         -2.47442880e-06+1.16962188e-05j],\n",
+       "        [ 5.75036711e-06-4.75814861e-06j,\n",
+       "         -3.26449272e-06-2.91879380e-06j],\n",
+       "        [-1.64547590e-05+1.01152475e-05j,\n",
+       "         -1.72712038e-07+3.30640629e-06j]],\n",
+       "\n",
+       "       [[ 1.04300044e-02+0.00000000e+00j,\n",
+       "          1.07991317e-02+0.00000000e+00j],\n",
+       "        [ 2.55077370e-05+9.19832779e-03j,\n",
+       "          2.83409594e-06+9.51631841e-03j],\n",
+       "        [-6.23422915e-03+3.06490881e-05j,\n",
+       "         -6.43068587e-03+4.20690427e-06j],\n",
+       "...\n",
+       "        [ 5.24891644e-06-2.98670786e-05j,\n",
+       "         -5.87450921e-06-7.18491450e-06j],\n",
+       "        [ 1.90773351e-05+7.55811257e-06j,\n",
+       "          2.75399109e-06-5.01533435e-06j],\n",
+       "        [-6.01749412e-06+4.28064960e-06j,\n",
+       "          5.83414159e-06-3.73068444e-06j]],\n",
+       "\n",
+       "       [[ 1.04532842e-02+0.00000000e+00j,\n",
+       "          1.07985145e-02+0.00000000e+00j],\n",
+       "        [ 2.28277676e-06+9.20915693e-03j,\n",
+       "          1.72582513e-06+9.51540093e-03j],\n",
+       "        [-6.21841411e-03+5.38430740e-06j,\n",
+       "         -6.42873131e-03+2.52655283e-06j],\n",
+       "        ...,\n",
+       "        [ 1.41151265e-05-1.82882243e-05j,\n",
+       "          6.42781622e-06-6.54351092e-06j],\n",
+       "        [ 1.67662401e-05-3.99391004e-06j,\n",
+       "          7.19017981e-06-3.97075909e-07j],\n",
+       "        [ 7.71114691e-06+1.22972272e-05j,\n",
+       "          4.45438211e-06+6.28715855e-06j]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile_stacked</span></div><div class='xr-var-dims'>(time, profile_range, attenuator_setting_pair)</div><div class='xr-var-dtype'>complex128</div><div class='xr-var-preview xr-preview'>(0.01046319898496333+0j) ... (-1...</div><input id='attrs-c1c98c70-a172-4f59-8b91-44a27c289cf1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1c98c70-a172-4f59-8b91-44a27c289cf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17aae41d-4b7d-4feb-94e2-44df3fbc3ed8' class='xr-var-data-in' type='checkbox'><label for='data-17aae41d-4b7d-4feb-94e2-44df3fbc3ed8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 1.04631990e-02+0.00000000e+00j,\n",
+       "          1.08087866e-02+0.00000000e+00j],\n",
+       "        [ 2.10707038e-05+9.22536265e-03j,\n",
+       "          3.24757084e-06+9.52479682e-03j],\n",
+       "        [-6.24754700e-03+2.72146191e-05j,\n",
+       "         -6.43638576e-03+5.04163280e-06j],\n",
+       "        ...,\n",
+       "        [-3.90827880e-06-2.36528785e-07j,\n",
+       "         -1.59667913e-07+2.73482600e-06j],\n",
+       "        [ 4.76365177e-06-2.25419742e-06j,\n",
+       "         -1.30279049e-06-9.12269700e-08j],\n",
+       "        [-1.85148176e-06+8.56389821e-06j,\n",
+       "         -8.77683231e-07-2.59851272e-08j]],\n",
+       "\n",
+       "       [[ 1.04628942e-02+0.00000000e+00j,\n",
+       "          1.08106266e-02+0.00000000e+00j],\n",
+       "        [ 2.26901568e-05+9.22589159e-03j,\n",
+       "          3.16638054e-06+9.52641340e-03j],\n",
+       "        [-6.24970600e-03+2.87479446e-05j,\n",
+       "         -6.43747407e-03+4.92441740e-06j],\n",
+       "...\n",
+       "        [ 1.04725233e-05-6.80218027e-06j,\n",
+       "          1.09931276e-06-8.53486593e-07j],\n",
+       "        [ 1.70531314e-06+1.28822525e-05j,\n",
+       "         -6.31157370e-07+1.13894285e-06j],\n",
+       "        [-1.01273141e-05-3.71142304e-06j,\n",
+       "         -5.38346536e-07-2.16829296e-06j]],\n",
+       "\n",
+       "       [[ 1.04701251e-02+0.00000000e+00j,\n",
+       "          1.08053221e-02+0.00000000e+00j],\n",
+       "        [ 8.21272181e-06+9.22599150e-03j,\n",
+       "          2.32258311e-06+9.52151222e-03j],\n",
+       "        [-6.23472526e-03+1.29989054e-05j,\n",
+       "         -6.43330317e-03+3.60647307e-06j],\n",
+       "        ...,\n",
+       "        [-1.17778200e-06-6.49018495e-06j,\n",
+       "         -2.18664330e-07-8.37989381e-07j],\n",
+       "        [ 1.13992141e-05-2.12671411e-06j,\n",
+       "          3.24370496e-06-1.55567085e-07j],\n",
+       "        [-1.36705021e-06+1.33716811e-05j,\n",
+       "         -1.33682530e-06+4.25927875e-06j]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.83 8.5 6.344 ... 12.02 11.83</div><input id='attrs-8df4ceb9-5f98-449d-82a7-5399278754bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8df4ceb9-5f98-449d-82a7-5399278754bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5f4900c-b291-412b-b6ad-dd1487ab9250' class='xr-var-data-in' type='checkbox'><label for='data-a5f4900c-b291-412b-b6ad-dd1487ab9250' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>temperature measured inside the ApRES unit in one location</dd><dt><span>units :</span></dt><dd>celsius</dd></dl></div><div class='xr-var-data'><pre>array([11.8281 ,  8.5    ,  6.34375,  5.95312,  6.73437,  6.73437,\n",
+       "        7.32031,  6.92969,  6.14844,  5.75   ,  7.51562,  7.71094,\n",
+       "        7.51562,  5.95312,  5.55469,  6.34375,  6.73437,  7.71094,\n",
+       "       11.2422 , 11.8281 , 10.0625 , 11.8281 , 10.0625 ,  9.67187,\n",
+       "        7.32031,  8.10937,  7.125  ,  6.14844,  5.95312,  5.35937,\n",
+       "        4.57812,  5.35937,  5.95312, 10.8516 , 16.5313 , 15.9453 ,\n",
+       "       18.2969 , 14.375  , 13.2031 , 16.5313 , 19.6719 , 18.4922 ,\n",
+       "       14.7656 , 18.2969 , 20.4531 , 20.4531 , 22.2188 , 22.2188 ,\n",
+       "       21.4297 , 21.0391 , 18.2969 , 19.0781 , 17.7109 , 16.9219 ,\n",
+       "       16.1406 , 15.9453 , 19.6719 , 19.6719 , 17.5156 , 18.1016 ,\n",
+       "       16.5313 , 18.2969 , 19.0781 , 19.2813 , 19.0781 , 20.0625 ,\n",
+       "       19.6719 , 17.5156 , 17.3203 , 17.125  , 14.9688 , 15.1641 ,\n",
+       "       12.4141 , 13.7891 , 11.8281 , 11.0469 , 13.3984 , 11.0469 ,\n",
+       "       12.8125 , 11.6328 , 16.5313 , 14.5703 , 15.9453 , 18.4922 ,\n",
+       "       12.0234 , 10.6563 ,  4.77344,  5.55469,  4.57812,  6.73437,\n",
+       "        6.14844,  7.32031,  8.69531,  7.32031,  9.28125, 10.0625 ,\n",
+       "       11.6328 , 10.2578 , 12.0234 , 11.8281 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>508.8 511.1 1.078 ... 0.2891 1.078</div><input id='attrs-6a91ba62-f3ea-469d-a1ff-1b37ad681cf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a91ba62-f3ea-469d-a1ff-1b37ad681cf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52bb2468-3fdf-4f56-946c-69eb37d40e63' class='xr-var-data-in' type='checkbox'><label for='data-52bb2468-3fdf-4f56-946c-69eb37d40e63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>temperature measured inside the ApRES unit in a second location</dd><dt><span>units :</span></dt><dd>celsius</dd></dl></div><div class='xr-var-data'><pre>array([5.08758e+02, 5.11109e+02, 1.07813e+00, 8.82812e-01, 3.82031e+00,\n",
+       "       2.64844e+00, 3.03906e+00, 3.62500e+00, 6.37500e+00, 2.84375e+00,\n",
+       "       2.84375e+00, 2.64844e+00, 3.42969e+00, 2.84375e+00, 1.66406e+00,\n",
+       "       5.09938e+02, 5.09938e+02, 5.09539e+02, 5.11312e+02, 1.07813e+00,\n",
+       "       2.05469e+00, 2.89062e-01, 6.79687e-01, 1.07813e+00, 2.25000e+00,\n",
+       "       5.98437e+00, 8.73437e+00, 1.03047e+01, 1.06953e+01, 1.40313e+01,\n",
+       "       1.30547e+01, 1.48203e+01, 1.10859e+01, 7.55469e+00, 1.30547e+01,\n",
+       "       1.05000e+01, 1.32500e+01, 1.52109e+01, 1.54063e+01, 1.75625e+01,\n",
+       "       2.22812e+01, 1.89375e+01, 2.05078e+01, 1.52109e+01, 1.52109e+01,\n",
+       "       8.92969e+00, 9.51562e+00, 9.32031e+00, 9.51562e+00, 8.73437e+00,\n",
+       "       1.56016e+01, 1.54063e+01, 2.03125e+01, 1.89375e+01, 1.87422e+01,\n",
+       "       1.85469e+01, 1.57969e+01, 1.81563e+01, 1.69766e+01, 1.79609e+01,\n",
+       "       1.95312e+01, 1.89375e+01, 1.97266e+01, 2.12969e+01, 2.11016e+01,\n",
+       "       2.05078e+01, 2.24766e+01, 2.03125e+01, 1.91328e+01, 1.63906e+01,\n",
+       "       1.69766e+01, 1.18750e+01, 1.26563e+01, 1.63906e+01, 1.46250e+01,\n",
+       "       1.32500e+01, 1.56016e+01, 1.67813e+01, 1.56016e+01, 1.50156e+01,\n",
+       "       1.26563e+01, 1.05000e+01, 1.12813e+01, 1.28516e+01, 7.75000e+00,\n",
+       "       9.51562e+00, 1.26563e+01, 1.16797e+01, 1.24609e+01, 1.24609e+01,\n",
+       "       1.01094e+01, 1.06953e+01, 7.75000e+00, 5.00000e+00, 1.46875e+00,\n",
+       "       5.11898e+02, 1.27344e+00, 2.84375e+00, 2.89062e-01, 1.07813e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c44600e7-bf77-4d25-afc1-271caee4c7e1' class='xr-section-summary-in' type='checkbox'  ><label for='section-c44600e7-bf77-4d25-afc1-271caee4c7e1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chirp_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3dea62c1-4876-4180-8d6f-5dd2e88e4967' class='xr-index-data-in' type='checkbox'/><label for='index-3dea62c1-4876-4180-8d6f-5dd2e88e4967' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(TimedeltaIndex([       &#x27;0 days 00:00:00&#x27;, &#x27;0 days 00:00:00.000025&#x27;,\n",
+       "                &#x27;0 days 00:00:00.000050&#x27;, &#x27;0 days 00:00:00.000075&#x27;,\n",
+       "                &#x27;0 days 00:00:00.000100&#x27;, &#x27;0 days 00:00:00.000125&#x27;,\n",
+       "                &#x27;0 days 00:00:00.000150&#x27;, &#x27;0 days 00:00:00.000175&#x27;,\n",
+       "                &#x27;0 days 00:00:00.000200&#x27;, &#x27;0 days 00:00:00.000225&#x27;,\n",
+       "                ...\n",
+       "                &#x27;0 days 00:00:00.999775&#x27;, &#x27;0 days 00:00:00.999800&#x27;,\n",
+       "                &#x27;0 days 00:00:00.999825&#x27;, &#x27;0 days 00:00:00.999850&#x27;,\n",
+       "                &#x27;0 days 00:00:00.999875&#x27;, &#x27;0 days 00:00:00.999900&#x27;,\n",
+       "                &#x27;0 days 00:00:00.999925&#x27;, &#x27;0 days 00:00:00.999950&#x27;,\n",
+       "                &#x27;0 days 00:00:00.999975&#x27;,        &#x27;0 days 00:00:01&#x27;],\n",
+       "               dtype=&#x27;timedelta64[ns]&#x27;, name=&#x27;chirp_time&#x27;, length=40001, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-20ceaf2c-05ea-47df-b68a-2121d3033930' class='xr-index-data-in' type='checkbox'/><label for='index-20ceaf2c-05ea-47df-b68a-2121d3033930' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
        "       0.6308686733535498, 0.8411582311380664,  1.051447788922583,\n",
-       "       1.2617373467070996,  1.472026904491616, 1.6823164622761329,\n",
+       "       1.2617373467070996, 1.4720269044916163, 1.6823164622761329,\n",
        "       1.8926060200606494,\n",
        "       ...\n",
-       "        8409.269126245033,  8409.479415802818,  8409.689705360603,\n",
-       "        8409.899994918387,  8410.110284476172,  8410.320574033956,\n",
-       "         8410.53086359174,  8410.741153149525,   8410.95144270731,\n",
-       "        8411.161732265095],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=39999))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13c50882-26ab-4894-bff9-deb949be877d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13c50882-26ab-4894-bff9-deb949be877d' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile</dd><dt><span>units :</span></dt><dd>-</dd><dt><span>description :</span></dt><dd>complex profile computed from the fourier transform of the de-ramped chirp</dd></dl></div></li></ul></div></div>"
+       "       1398.0049801514665, 1398.2152697092508, 1398.4255592670354,\n",
+       "         1398.63584882482, 1398.8461383826045,  1399.056427940389,\n",
+       "       1399.2667174981734,  1399.477007055958, 1399.6872966137425,\n",
+       "        1399.897586171527],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=6658))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cb5fc481-8e30-4066-bbb5-77f394460285' class='xr-index-data-in' type='checkbox'/><label for='index-cb5fc481-8e30-4066-bbb5-77f394460285' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-07-07 04:06:57&#x27;, &#x27;2022-07-07 04:21:48&#x27;,\n",
+       "               &#x27;2022-07-07 04:36:48&#x27;, &#x27;2022-07-07 04:51:47&#x27;,\n",
+       "               &#x27;2022-07-07 05:07:05&#x27;, &#x27;2022-07-07 05:21:53&#x27;,\n",
+       "               &#x27;2022-07-07 05:36:48&#x27;, &#x27;2022-07-07 05:51:48&#x27;,\n",
+       "               &#x27;2022-07-07 06:06:57&#x27;, &#x27;2022-07-07 06:21:48&#x27;,\n",
+       "               &#x27;2022-07-07 06:36:48&#x27;, &#x27;2022-07-07 06:51:48&#x27;,\n",
+       "               &#x27;2022-07-07 07:06:48&#x27;, &#x27;2022-07-07 07:21:53&#x27;,\n",
+       "               &#x27;2022-07-07 07:36:51&#x27;, &#x27;2022-07-07 07:51:48&#x27;,\n",
+       "               &#x27;2022-07-07 08:06:59&#x27;, &#x27;2022-07-07 08:21:58&#x27;,\n",
+       "               &#x27;2022-07-07 08:37:21&#x27;, &#x27;2022-07-07 08:51:46&#x27;,\n",
+       "               &#x27;2022-07-07 09:06:46&#x27;, &#x27;2022-07-07 09:21:46&#x27;,\n",
+       "               &#x27;2022-07-07 09:36:48&#x27;, &#x27;2022-07-07 09:51:48&#x27;,\n",
+       "               &#x27;2022-07-07 10:06:47&#x27;, &#x27;2022-07-07 10:21:48&#x27;,\n",
+       "               &#x27;2022-07-07 10:36:47&#x27;, &#x27;2022-07-07 10:51:47&#x27;,\n",
+       "               &#x27;2022-07-07 11:06:47&#x27;, &#x27;2022-07-07 11:21:47&#x27;,\n",
+       "               &#x27;2022-07-07 11:36:48&#x27;, &#x27;2022-07-07 11:51:48&#x27;,\n",
+       "               &#x27;2022-07-07 12:06:47&#x27;, &#x27;2022-07-07 12:21:47&#x27;,\n",
+       "               &#x27;2022-07-07 12:36:48&#x27;, &#x27;2022-07-07 12:51:49&#x27;,\n",
+       "               &#x27;2022-07-07 13:06:53&#x27;, &#x27;2022-07-07 13:21:53&#x27;,\n",
+       "               &#x27;2022-07-07 13:36:57&#x27;, &#x27;2022-07-07 13:51:58&#x27;,\n",
+       "               &#x27;2022-07-07 14:06:57&#x27;, &#x27;2022-07-07 14:21:57&#x27;,\n",
+       "               &#x27;2022-07-07 14:36:57&#x27;, &#x27;2022-07-07 14:52:07&#x27;,\n",
+       "               &#x27;2022-07-07 15:06:50&#x27;, &#x27;2022-07-07 15:21:48&#x27;,\n",
+       "               &#x27;2022-07-07 15:36:48&#x27;, &#x27;2022-07-07 15:51:57&#x27;,\n",
+       "               &#x27;2022-07-07 16:07:20&#x27;, &#x27;2022-07-07 16:21:47&#x27;,\n",
+       "               &#x27;2022-07-07 16:36:47&#x27;, &#x27;2022-07-07 16:51:47&#x27;,\n",
+       "               &#x27;2022-07-07 17:06:48&#x27;, &#x27;2022-07-07 17:21:57&#x27;,\n",
+       "               &#x27;2022-07-07 17:36:57&#x27;, &#x27;2022-07-07 17:51:49&#x27;,\n",
+       "               &#x27;2022-07-07 18:06:55&#x27;, &#x27;2022-07-07 18:21:54&#x27;,\n",
+       "               &#x27;2022-07-07 18:36:51&#x27;, &#x27;2022-07-07 18:51:51&#x27;,\n",
+       "               &#x27;2022-07-07 19:06:50&#x27;, &#x27;2022-07-07 19:22:00&#x27;,\n",
+       "               &#x27;2022-07-07 19:36:57&#x27;, &#x27;2022-07-07 19:52:20&#x27;,\n",
+       "               &#x27;2022-07-07 20:06:57&#x27;, &#x27;2022-07-07 20:21:57&#x27;,\n",
+       "               &#x27;2022-07-07 20:36:57&#x27;, &#x27;2022-07-07 20:51:57&#x27;,\n",
+       "               &#x27;2022-07-07 21:06:57&#x27;, &#x27;2022-07-07 21:21:57&#x27;,\n",
+       "               &#x27;2022-07-07 21:36:57&#x27;, &#x27;2022-07-07 21:51:57&#x27;,\n",
+       "               &#x27;2022-07-07 22:06:57&#x27;, &#x27;2022-07-07 22:21:57&#x27;,\n",
+       "               &#x27;2022-07-07 22:37:05&#x27;, &#x27;2022-07-07 22:52:20&#x27;,\n",
+       "               &#x27;2022-07-07 23:06:46&#x27;, &#x27;2022-07-07 23:21:47&#x27;,\n",
+       "               &#x27;2022-07-07 23:36:47&#x27;, &#x27;2022-07-07 23:51:46&#x27;,\n",
+       "               &#x27;2022-07-08 00:06:46&#x27;, &#x27;2022-07-08 00:21:46&#x27;,\n",
+       "               &#x27;2022-07-08 00:36:46&#x27;, &#x27;2022-07-08 00:51:50&#x27;,\n",
+       "               &#x27;2022-07-08 01:06:46&#x27;, &#x27;2022-07-08 01:21:47&#x27;,\n",
+       "               &#x27;2022-07-08 01:36:57&#x27;, &#x27;2022-07-08 01:51:47&#x27;,\n",
+       "               &#x27;2022-07-08 02:06:48&#x27;, &#x27;2022-07-08 02:21:58&#x27;,\n",
+       "               &#x27;2022-07-08 02:37:20&#x27;, &#x27;2022-07-08 02:51:47&#x27;,\n",
+       "               &#x27;2022-07-08 03:06:48&#x27;, &#x27;2022-07-08 03:21:48&#x27;,\n",
+       "               &#x27;2022-07-08 03:36:47&#x27;, &#x27;2022-07-08 03:51:48&#x27;,\n",
+       "               &#x27;2022-07-08 04:06:48&#x27;, &#x27;2022-07-08 04:21:47&#x27;,\n",
+       "               &#x27;2022-07-08 04:36:48&#x27;, &#x27;2022-07-08 04:51:49&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-958d1379-82c2-4cb4-8a5b-cfb8b74b1809' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-958d1379-82c2-4cb4-8a5b-cfb8b74b1809' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'profile' (time: 1, chirp_num: 100,\n",
-       "                             attenuator_setting_pair: 1, profile_range: 39999)> Size: 64MB\n",
-       "array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "          -9.27273832e-07+6.77336074e-03j,\n",
-       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "          -5.21329130e-07-4.99838438e-07j,\n",
-       "           2.02641074e-07-8.46271999e-07j,\n",
-       "           1.26782906e-06-2.16599516e-08j]],\n",
-       "\n",
-       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
-       "          -4.65191502e-07+6.77615015e-03j,\n",
-       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
-       "          -9.08098710e-07+2.85821091e-07j,\n",
-       "          -5.30522409e-07-9.73941848e-07j,\n",
-       "           1.12872192e-06-5.98828832e-07j]],\n",
-       "\n",
-       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
-       "          -5.68561906e-07+6.77757061e-03j,\n",
-       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
-       "           1.27636810e-06-6.26149904e-07j,\n",
-       "           2.36619677e-07+1.03064573e-06j,\n",
-       "          -7.00436130e-07-4.74906535e-08j]],\n",
-       "...\n",
-       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
-       "          -1.30092000e-07+6.65786473e-03j,\n",
-       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
-       "           5.98589909e-07-3.91519477e-07j,\n",
-       "           5.05116032e-07+2.76446351e-07j,\n",
-       "           2.20810081e-07+4.90185512e-07j]],\n",
-       "\n",
-       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
-       "          -1.00088592e-08+6.65753356e-03j,\n",
-       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
-       "          -9.05339415e-08-3.53241214e-07j,\n",
-       "           2.13017850e-07+4.42310039e-08j,\n",
-       "           2.76789329e-07+1.96950921e-08j]],\n",
-       "\n",
-       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
-       "          -8.02547022e-08+6.65740261e-03j,\n",
-       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
-       "           1.40825291e-06+8.15137952e-07j,\n",
-       "          -6.98290429e-07+1.46028701e-06j,\n",
-       "          -1.34931239e-06-4.58747559e-07j]]]])\n",
+       "<xarray.Dataset> Size: 107MB\n",
+       "Dimensions:          (attenuator_setting_pair: 2, time: 100, chirp_time: 40001,\n",
+       "                      profile_range: 6658)\n",
        "Coordinates:\n",
-       "  * time           (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
-       "  * chirp_num      (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
-       "    filename       (time) <U57 228B '../../data/sample/single_dat_file/DATA20...\n",
-       "    burst_number   (time) int64 8B 0\n",
-       "    AFGain         (attenuator_setting_pair) int64 8B -4\n",
-       "    attenuator     (attenuator_setting_pair) float64 8B 22.0\n",
-       "    orientation    (time) <U7 28B 'unknown'\n",
-       "  * profile_range  (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
+       "    AFGain           (attenuator_setting_pair) int64 16B -4 -14\n",
+       "    attenuator       (attenuator_setting_pair) float64 16B 5.0 5.0\n",
+       "    burst_number     (time) int64 800B 38 39 40 41 42 43 ... 38 39 40 41 42 43\n",
+       "    chirp_num        int64 8B 0\n",
+       "  * chirp_time       (chirp_time) timedelta64[ns] 320kB 00:00:00 ... 00:00:01\n",
+       "    filename         (time) <U83 33kB 'ldeo-glaciology/GL_apres_2022/A101/Car...\n",
+       "  * profile_range    (profile_range) float64 53kB 0.0 0.2103 ... 1.4e+03 1.4e+03\n",
+       "  * time             (time) datetime64[ns] 800B 2022-07-07T04:06:57 ... 2022-...\n",
        "Dimensions without coordinates: attenuator_setting_pair\n",
-       "Attributes:\n",
-       "    long_name:    profile\n",
-       "    units:        -\n",
-       "    description:  complex profile computed from the fourier transform of the ..."
+       "Data variables:\n",
+       "    battery_voltage  (time) float64 800B 13.35 13.35 13.35 ... 13.35 13.35 13.37\n",
+       "    chirp            (time, chirp_time, attenuator_setting_pair) float64 64MB ...\n",
+       "    latitude         (time) float64 800B 68.71 68.71 68.71 ... 68.71 68.71 68.71\n",
+       "    longitude        (time) float64 800B -49.55 -49.55 -49.55 ... -49.55 -49.55\n",
+       "    profile          (time, profile_range, attenuator_setting_pair) complex128 21MB ...\n",
+       "    profile_stacked  (time, profile_range, attenuator_setting_pair) complex128 21MB ...\n",
+       "    temperature_1    (time) float64 800B 11.83 8.5 6.344 ... 10.26 12.02 11.83\n",
+       "    temperature_2    (time) float64 800B 508.8 511.1 1.078 ... 0.2891 1.078"
       ]
      },
-     "execution_count": 80,
+     "execution_count": 233,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds.chirp.computeProfile()"
+    "some"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 230,
    "metadata": {},
    "outputs": [
     {
@@ -1987,220 +2967,116 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;profile&#x27; (time: 1, chirp_num: 100,\n",
-       "                             attenuator_setting_pair: 1, profile_range: 39999)&gt; Size: 64MB\n",
-       "array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "          -9.27273832e-07+6.77336074e-03j,\n",
-       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "          -5.21329130e-07-4.99838438e-07j,\n",
-       "           2.02641074e-07-8.46271999e-07j,\n",
-       "           1.26782906e-06-2.16599516e-08j]],\n",
-       "\n",
-       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
-       "          -4.65191502e-07+6.77615015e-03j,\n",
-       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
-       "          -9.08098710e-07+2.85821091e-07j,\n",
-       "          -5.30522409e-07-9.73941848e-07j,\n",
-       "           1.12872192e-06-5.98828832e-07j]],\n",
-       "\n",
-       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
-       "          -5.68561906e-07+6.77757061e-03j,\n",
-       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
-       "           1.27636810e-06-6.26149904e-07j,\n",
-       "           2.36619677e-07+1.03064573e-06j,\n",
-       "          -7.00436130e-07-4.74906535e-08j]],\n",
-       "...\n",
-       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
-       "          -1.30092000e-07+6.65786473e-03j,\n",
-       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
-       "           5.98589909e-07-3.91519477e-07j,\n",
-       "           5.05116032e-07+2.76446351e-07j,\n",
-       "           2.20810081e-07+4.90185512e-07j]],\n",
-       "\n",
-       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
-       "          -1.00088592e-08+6.65753356e-03j,\n",
-       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
-       "          -9.05339415e-08-3.53241214e-07j,\n",
-       "           2.13017850e-07+4.42310039e-08j,\n",
-       "           2.76789329e-07+1.96950921e-08j]],\n",
-       "\n",
-       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
-       "          -8.02547022e-08+6.65740261e-03j,\n",
-       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
-       "           1.40825291e-06+8.15137952e-07j,\n",
-       "          -6.98290429e-07+1.46028701e-06j,\n",
-       "          -1.34931239e-06-4.58747559e-07j]]]])\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 1MB\n",
+       "Dimensions:          (attenuator_setting_pair: 2, time: 1, chirp_time: 40001,\n",
+       "                      profile_range: 6658)\n",
        "Coordinates:\n",
-       "  * time           (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
-       "  * chirp_num      (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
-       "    filename       (time) &lt;U57 228B &#x27;../../data/sample/single_dat_file/DATA20...\n",
-       "    burst_number   (time) int64 8B 0\n",
-       "    AFGain         (attenuator_setting_pair) int64 8B -4\n",
-       "    attenuator     (attenuator_setting_pair) float64 8B 22.0\n",
-       "    orientation    (time) &lt;U7 28B &#x27;unknown&#x27;\n",
-       "  * profile_range  (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
+       "    AFGain           (attenuator_setting_pair) int64 16B -4 -14\n",
+       "    attenuator       (attenuator_setting_pair) float64 16B 5.0 5.0\n",
+       "    burst_number     (time) int64 8B 38\n",
+       "    chirp_num        int64 8B 0\n",
+       "  * chirp_time       (chirp_time) timedelta64[ns] 320kB 00:00:00 ... 00:00:01\n",
+       "    filename         (time) &lt;U83 332B &#x27;ldeo-glaciology/GL_apres_2022/A101/Car...\n",
+       "  * profile_range    (profile_range) float64 53kB 0.0 0.2103 ... 1.4e+03 1.4e+03\n",
+       "  * time             (time) datetime64[ns] 8B 2022-07-07T04:06:57\n",
        "Dimensions without coordinates: attenuator_setting_pair\n",
-       "Attributes:\n",
-       "    long_name:    profile\n",
-       "    units:        -\n",
-       "    description:  complex profile computed from the fourier transform of the ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'profile'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>chirp_num</span>: 100</li><li><span>attenuator_setting_pair</span>: 1</li><li><span class='xr-has-index'>profile_range</span>: 39999</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dad43cf5-94ea-4340-af82-ad3d9965bd63' class='xr-array-in' type='checkbox' checked><label for='section-dad43cf5-94ea-4340-af82-ad3d9965bd63' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>(0.007689785531887402+0j) ... (-1.3493123858953937e-06-4.5874755908...</span></div><div class='xr-array-data'><pre>array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "          -9.27273832e-07+6.77336074e-03j,\n",
-       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "          -5.21329130e-07-4.99838438e-07j,\n",
-       "           2.02641074e-07-8.46271999e-07j,\n",
-       "           1.26782906e-06-2.16599516e-08j]],\n",
-       "\n",
-       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
-       "          -4.65191502e-07+6.77615015e-03j,\n",
-       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
-       "          -9.08098710e-07+2.85821091e-07j,\n",
-       "          -5.30522409e-07-9.73941848e-07j,\n",
-       "           1.12872192e-06-5.98828832e-07j]],\n",
-       "\n",
-       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
-       "          -5.68561906e-07+6.77757061e-03j,\n",
-       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
-       "           1.27636810e-06-6.26149904e-07j,\n",
-       "           2.36619677e-07+1.03064573e-06j,\n",
-       "          -7.00436130e-07-4.74906535e-08j]],\n",
-       "...\n",
-       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
-       "          -1.30092000e-07+6.65786473e-03j,\n",
-       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
-       "           5.98589909e-07-3.91519477e-07j,\n",
-       "           5.05116032e-07+2.76446351e-07j,\n",
-       "           2.20810081e-07+4.90185512e-07j]],\n",
-       "\n",
-       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
-       "          -1.00088592e-08+6.65753356e-03j,\n",
-       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
-       "          -9.05339415e-08-3.53241214e-07j,\n",
-       "           2.13017850e-07+4.42310039e-08j,\n",
-       "           2.76789329e-07+1.96950921e-08j]],\n",
-       "\n",
-       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
-       "          -8.02547022e-08+6.65740261e-03j,\n",
-       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
-       "           1.40825291e-06+8.15137952e-07j,\n",
-       "          -6.98290429e-07+1.46028701e-06j,\n",
-       "          -1.34931239e-06-4.58747559e-07j]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-c2fe0962-5681-4998-99c2-0404b0d9ae2d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2fe0962-5681-4998-99c2-0404b0d9ae2d' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-05T03:16:15</div><input id='attrs-7874db8e-c780-40bb-b4d5-18fc528dbe9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7874db8e-c780-40bb-b4d5-18fc528dbe9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-757d18e7-4646-440c-900b-58550243ac2a' class='xr-var-data-in' type='checkbox'><label for='data-757d18e7-4646-440c-900b-58550243ac2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-01-05T03:16:15.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_num</span></div><div class='xr-var-dims'>(chirp_num)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-b7523169-05da-408a-9290-794bede533d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7523169-05da-408a-9290-794bede533d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bb85898-29cb-48c2-aabb-8f3354f152cd' class='xr-var-data-in' type='checkbox'><label for='data-5bb85898-29cb-48c2-aabb-8f3354f152cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>chirp number</dd><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U57</div><div class='xr-var-preview xr-preview'>&#x27;../../data/sample/single_dat_fi...</div><input id='attrs-04f5bb07-467d-4a96-97e4-174ea012912c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04f5bb07-467d-4a96-97e4-174ea012912c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc7f90d7-e64b-4494-aaf5-b2d7136c3cd5' class='xr-var-data-in' type='checkbox'><label for='data-cc7f90d7-e64b-4494-aaf5-b2d7136c3cd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;../../data/sample/single_dat_file/DATA2023-01-05-0315.DAT&#x27;],\n",
-       "      dtype=&#x27;&lt;U57&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-1f0d848c-52d9-4821-b6e3-0760b4d2c120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f0d848c-52d9-4821-b6e3-0760b4d2c120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85516c73-6787-4d89-b61e-89098c690fcd' class='xr-var-data-in' type='checkbox'><label for='data-85516c73-6787-4d89-b61e-89098c690fcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4</div><input id='attrs-ea9bf182-6fc9-42e5-a114-440207121c9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea9bf182-6fc9-42e5-a114-440207121c9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4557a15d-1d7d-4a14-9317-5db43c40694a' class='xr-var-data-in' type='checkbox'><label for='data-4557a15d-1d7d-4a14-9317-5db43c40694a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([-4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>22.0</div><input id='attrs-7e46b1bb-f5c1-4def-8452-15ad62c598de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e46b1bb-f5c1-4def-8452-15ad62c598de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dea5f07e-c4eb-4bb9-952e-55531588cb79' class='xr-var-data-in' type='checkbox'><label for='data-dea5f07e-c4eb-4bb9-952e-55531588cb79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([22.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;unknown&#x27;</div><input id='attrs-c9c69581-c6ec-4dd6-bf4d-6176aaf5f37b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9c69581-c6ec-4dd6-bf4d-6176aaf5f37b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87f9c942-b5fd-4d7d-9cca-2ea46360965c' class='xr-var-data-in' type='checkbox'><label for='data-87f9c942-b5fd-4d7d-9cca-2ea46360965c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>HH, HV, VH, or VV antenna orientation as described in Ersahadi et al 2022 doi:10.5194/tc-16-1719-2022</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 8.411e+03 8.411e+03</div><input id='attrs-8b99f49f-f4e6-4b6e-8ea2-1ab935b6ee23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b99f49f-f4e6-4b6e-8ea2-1ab935b6ee23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a7f3c7b-1ea3-4231-9f9f-23d652aeedbf' class='xr-var-data-in' type='checkbox'><label for='data-2a7f3c7b-1ea3-4231-9f9f-23d652aeedbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 8.410741e+03,\n",
-       "       8.410951e+03, 8.411162e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-73e9c82d-16cd-4fe1-a7d1-762131d50e4b' class='xr-section-summary-in' type='checkbox'  ><label for='section-73e9c82d-16cd-4fe1-a7d1-762131d50e4b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ba073dbd-9b5c-4cdd-a5d0-90439581b350' class='xr-index-data-in' type='checkbox'/><label for='index-ba073dbd-9b5c-4cdd-a5d0-90439581b350' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-01-05 03:16:15&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chirp_num</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5eeb8cb5-ac65-451e-95e2-00f604906af0' class='xr-index-data-in' type='checkbox'/><label for='index-5eeb8cb5-ac65-451e-95e2-00f604906af0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;chirp_num&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2dc88519-4853-4f4d-8e87-9fdc19ef3ef8' class='xr-index-data-in' type='checkbox'/><label for='index-2dc88519-4853-4f4d-8e87-9fdc19ef3ef8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
+       "Data variables:\n",
+       "    battery_voltage  (time) float64 8B 13.35\n",
+       "    chirp            (time, chirp_time, attenuator_setting_pair) float64 640kB ...\n",
+       "    latitude         (time) float64 8B 68.71\n",
+       "    longitude        (time) float64 8B -49.55\n",
+       "    profile          (time, profile_range, attenuator_setting_pair) complex128 213kB ...\n",
+       "    profile_stacked  (time, profile_range, attenuator_setting_pair) complex128 213kB ...\n",
+       "    temperature_1    (time) float64 8B 11.83\n",
+       "    temperature_2    (time) float64 8B 508.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-527dc7a9-df7d-42a8-bbd4-78728c596b9d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-527dc7a9-df7d-42a8-bbd4-78728c596b9d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>attenuator_setting_pair</span>: 2</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>chirp_time</span>: 40001</li><li><span class='xr-has-index'>profile_range</span>: 6658</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b7d743d2-17ac-4a5e-95a5-aeccc1566825' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b7d743d2-17ac-4a5e-95a5-aeccc1566825' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-4 -14</div><input id='attrs-58d634f6-bb81-457e-9b7b-2d8191263f71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58d634f6-bb81-457e-9b7b-2d8191263f71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7083cdb9-66a7-4e43-b873-0bfed37c3eca' class='xr-var-data-in' type='checkbox'><label for='data-7083cdb9-66a7-4e43-b873-0bfed37c3eca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([ -4, -14])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 5.0</div><input id='attrs-4778ad19-6e61-499b-b7b0-d82cd4766942' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4778ad19-6e61-499b-b7b0-d82cd4766942' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5f63225-7c0a-4ca1-a671-49b9680a317b' class='xr-var-data-in' type='checkbox'><label for='data-c5f63225-7c0a-4ca1-a671-49b9680a317b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([5., 5.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>38</div><input id='attrs-1132b7d6-cd94-4ba8-b424-f4b5b63c895a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1132b7d6-cd94-4ba8-b424-f4b5b63c895a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e87c713a-b98a-4ad4-a083-7cad60d02914' class='xr-var-data-in' type='checkbox'><label for='data-e87c713a-b98a-4ad4-a083-7cad60d02914' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array([38])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chirp_num</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-9101b533-2eee-4181-a80f-217c8903912d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9101b533-2eee-4181-a80f-217c8903912d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-517453b0-af2c-4ba4-a635-b67dc918d375' class='xr-var-data-in' type='checkbox'><label for='data-517453b0-af2c-4ba4-a635-b67dc918d375' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd><dt><span>long_name :</span></dt><dd>chirp number</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_time</span></div><div class='xr-var-dims'>(chirp_time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00 ... 00:00:01</div><input id='attrs-dc5920a5-5a05-4947-98b3-fa73f94b2f0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc5920a5-5a05-4947-98b3-fa73f94b2f0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d09db3a-5cb5-44c0-92fa-52bcc38f7c3b' class='xr-var-data-in' type='checkbox'><label for='data-3d09db3a-5cb5-44c0-92fa-52bcc38f7c3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of samples during chirps</dd><dt><span>name :</span></dt><dd>time of samples during chirps</dd></dl></div><div class='xr-var-data'><pre>array([         0,      25000,      50000, ...,  999950000,  999975000,\n",
+       "       1000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U83</div><div class='xr-var-preview xr-preview'>&#x27;ldeo-glaciology/GL_apres_2022/A...</div><input id='attrs-a5ee2c54-5ef9-4c00-937f-458f4c34edbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5ee2c54-5ef9-4c00-937f-458f4c34edbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-090707cc-120c-409c-864b-529de2e2002f' class='xr-var-data-in' type='checkbox'><label for='data-090707cc-120c-409c-864b-529de2e2002f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;ldeo-glaciology/GL_apres_2022/A101/CardA/DIR2022-05-26-1536/DATA2022-07-06-1836.DAT&#x27;],\n",
+       "      dtype=&#x27;&lt;U83&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 1.4e+03 1.4e+03</div><input id='attrs-72e30981-d8ba-4191-aab2-0562aeca0f47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72e30981-d8ba-4191-aab2-0562aeca0f47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72e262ff-7464-497b-b1d4-6e61c047de21' class='xr-var-data-in' type='checkbox'><label for='data-72e262ff-7464-497b-b1d4-6e61c047de21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 1.399477e+03,\n",
+       "       1.399687e+03, 1.399898e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-07-07T04:06:57</div><input id='attrs-c6582c1a-34b1-432e-80a6-cb1b6a38aaa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6582c1a-34b1-432e-80a6-cb1b6a38aaa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f8c2779-7093-4236-a34c-ba5c44aaf67c' class='xr-var-data-in' type='checkbox'><label for='data-8f8c2779-7093-4236-a34c-ba5c44aaf67c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-07-07T04:06:57.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9252b6b-dbf1-4f47-b47d-38d026d0947c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f9252b6b-dbf1-4f47-b47d-38d026d0947c' class='xr-section-summary' >Data variables: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>battery_voltage</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.35</div><input id='attrs-6aeff9ee-0f2b-4eba-ba53-cf923d1b83a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aeff9ee-0f2b-4eba-ba53-cf923d1b83a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b2a69d0-d8fa-4332-a126-97da66eb5c20' class='xr-var-data-in' type='checkbox'><label for='data-7b2a69d0-d8fa-4332-a126-97da66eb5c20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>battery voltage</dd><dt><span>units :</span></dt><dd>volts</dd></dl></div><div class='xr-var-data'><pre>array([13.3499])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chirp</span></div><div class='xr-var-dims'>(time, chirp_time, attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.06645 0.03002 ... 0.861 0.2918</div><input id='attrs-6f4ec3f7-1319-4939-b4f1-8339a9ac6133' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f4ec3f7-1319-4939-b4f1-8339a9ac6133' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b093747-ecec-4d83-b8d3-5c1661559b27' class='xr-var-data-in' type='checkbox'><label for='data-8b093747-ecec-4d83-b8d3-5c1661559b27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>voltage from the analog-to-digital converter after the received signal has been mixed with the transmitted signal and the result has been filtered to leave only the low frequency compponent corresponding to the differences in the frequencies of the Tx and Rx signals</dd><dt><span>long_name :</span></dt><dd>de-ramped chirp</dd><dt><span>units :</span></dt><dd>volts</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.06645203,  0.03002167],\n",
+       "        [-0.26245117, -0.00312805],\n",
+       "        [-0.95005035, -0.1486969 ],\n",
+       "        ...,\n",
+       "        [ 0.12737274,  0.06076813],\n",
+       "        [ 0.14736176,  0.06679535],\n",
+       "        [ 0.86097717,  0.29182434]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>68.71</div><input id='attrs-d7d496b0-df42-4643-91ae-eafcef9dd13c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7d496b0-df42-4643-91ae-eafcef9dd13c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2548e20c-7e4e-40bc-aeb4-e6cd00779f23' class='xr-var-data-in' type='checkbox'><label for='data-2548e20c-7e4e-40bc-aeb4-e6cd00779f23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of burst</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([68.7103])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-49.55</div><input id='attrs-0b7f53fc-660a-489b-9b10-72c7f10a3cd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b7f53fc-660a-489b-9b10-72c7f10a3cd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35df2608-c749-4b73-af70-591113371fe9' class='xr-var-data-in' type='checkbox'><label for='data-35df2608-c749-4b73-af70-591113371fe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of burst</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([-49.5541])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile</span></div><div class='xr-var-dims'>(time, profile_range, attenuator_setting_pair)</div><div class='xr-var-dtype'>complex128</div><div class='xr-var-preview xr-preview'>(0.010433534982058934+0j) ... (-...</div><input id='attrs-0c82bf7a-76f7-4b26-8167-60ae176e419f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c82bf7a-76f7-4b26-8167-60ae176e419f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8e7939e-a49f-4a8c-b053-c9795a1113b7' class='xr-var-data-in' type='checkbox'><label for='data-d8e7939e-a49f-4a8c-b053-c9795a1113b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>complex profile computed from the fourier transform of the de-ramped chirp</dd><dt><span>long_name :</span></dt><dd>profile</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>array([[[ 1.04335350e-02+0.00000000e+00j,\n",
+       "          1.08030209e-02+0.00000000e+00j],\n",
+       "        [ 2.44385795e-05+9.20088096e-03j,\n",
+       "          2.94779759e-06+9.51979237e-03j],\n",
+       "        [-6.23462775e-03+2.96215326e-05j,\n",
+       "         -6.43314503e-03+4.35861217e-06j],\n",
+       "        ...,\n",
+       "        [-1.85920782e-05+3.15539952e-06j,\n",
+       "         -2.47442880e-06+1.16962188e-05j],\n",
+       "        [ 5.75036711e-06-4.75814861e-06j,\n",
+       "         -3.26449272e-06-2.91879380e-06j],\n",
+       "        [-1.64547590e-05+1.01152475e-05j,\n",
+       "         -1.72712038e-07+3.30640629e-06j]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile_stacked</span></div><div class='xr-var-dims'>(time, profile_range, attenuator_setting_pair)</div><div class='xr-var-dtype'>complex128</div><div class='xr-var-preview xr-preview'>(0.01046319898496333+0j) ... (-8...</div><input id='attrs-911ce027-6f4f-4379-806c-bac9db4af60c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-911ce027-6f4f-4379-806c-bac9db4af60c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de0cbfcd-aa61-4309-a816-8795f3293d7f' class='xr-var-data-in' type='checkbox'><label for='data-de0cbfcd-aa61-4309-a816-8795f3293d7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 1.04631990e-02+0.00000000e+00j,\n",
+       "          1.08087866e-02+0.00000000e+00j],\n",
+       "        [ 2.10707038e-05+9.22536265e-03j,\n",
+       "          3.24757084e-06+9.52479682e-03j],\n",
+       "        [-6.24754700e-03+2.72146191e-05j,\n",
+       "         -6.43638576e-03+5.04163280e-06j],\n",
+       "        ...,\n",
+       "        [-3.90827880e-06-2.36528785e-07j,\n",
+       "         -1.59667913e-07+2.73482600e-06j],\n",
+       "        [ 4.76365177e-06-2.25419742e-06j,\n",
+       "         -1.30279049e-06-9.12269700e-08j],\n",
+       "        [-1.85148176e-06+8.56389821e-06j,\n",
+       "         -8.77683231e-07-2.59851272e-08j]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.83</div><input id='attrs-14b65557-a45e-43dd-b6c6-1d17f5bb6cf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14b65557-a45e-43dd-b6c6-1d17f5bb6cf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e044b13-6648-44d5-9f4b-4c4ed6ea3b33' class='xr-var-data-in' type='checkbox'><label for='data-6e044b13-6648-44d5-9f4b-4c4ed6ea3b33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>temperature measured inside the ApRES unit in one location</dd><dt><span>units :</span></dt><dd>celsius</dd></dl></div><div class='xr-var-data'><pre>array([11.8281])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>508.8</div><input id='attrs-34b7dd4c-5a51-408e-bfce-88a3c3bd7e8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34b7dd4c-5a51-408e-bfce-88a3c3bd7e8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbf48abc-1a1a-48c4-9885-30af3732109f' class='xr-var-data-in' type='checkbox'><label for='data-bbf48abc-1a1a-48c4-9885-30af3732109f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>temperature measured inside the ApRES unit in a second location</dd><dt><span>units :</span></dt><dd>celsius</dd></dl></div><div class='xr-var-data'><pre>array([508.758])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eea902aa-537d-4b6d-bde5-fc8290996fd6' class='xr-section-summary-in' type='checkbox'  ><label for='section-eea902aa-537d-4b6d-bde5-fc8290996fd6' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chirp_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3b4ee868-84a0-4693-b914-6e7aa3c4208d' class='xr-index-data-in' type='checkbox'/><label for='index-3b4ee868-84a0-4693-b914-6e7aa3c4208d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(TimedeltaIndex([       &#x27;0 days 00:00:00&#x27;, &#x27;0 days 00:00:00.000025&#x27;,\n",
+       "                &#x27;0 days 00:00:00.000050&#x27;, &#x27;0 days 00:00:00.000075&#x27;,\n",
+       "                &#x27;0 days 00:00:00.000100&#x27;, &#x27;0 days 00:00:00.000125&#x27;,\n",
+       "                &#x27;0 days 00:00:00.000150&#x27;, &#x27;0 days 00:00:00.000175&#x27;,\n",
+       "                &#x27;0 days 00:00:00.000200&#x27;, &#x27;0 days 00:00:00.000225&#x27;,\n",
+       "                ...\n",
+       "                &#x27;0 days 00:00:00.999775&#x27;, &#x27;0 days 00:00:00.999800&#x27;,\n",
+       "                &#x27;0 days 00:00:00.999825&#x27;, &#x27;0 days 00:00:00.999850&#x27;,\n",
+       "                &#x27;0 days 00:00:00.999875&#x27;, &#x27;0 days 00:00:00.999900&#x27;,\n",
+       "                &#x27;0 days 00:00:00.999925&#x27;, &#x27;0 days 00:00:00.999950&#x27;,\n",
+       "                &#x27;0 days 00:00:00.999975&#x27;,        &#x27;0 days 00:00:01&#x27;],\n",
+       "               dtype=&#x27;timedelta64[ns]&#x27;, name=&#x27;chirp_time&#x27;, length=40001, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-47f6174a-0b59-4521-b8ea-aaafcd1ec84b' class='xr-index-data-in' type='checkbox'/><label for='index-47f6174a-0b59-4521-b8ea-aaafcd1ec84b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0, 0.2102895577845166, 0.4205791155690332,\n",
        "       0.6308686733535498, 0.8411582311380664,  1.051447788922583,\n",
-       "       1.2617373467070996,  1.472026904491616, 1.6823164622761329,\n",
+       "       1.2617373467070996, 1.4720269044916163, 1.6823164622761329,\n",
        "       1.8926060200606494,\n",
        "       ...\n",
-       "        8409.269126245033,  8409.479415802818,  8409.689705360603,\n",
-       "        8409.899994918387,  8410.110284476172,  8410.320574033956,\n",
-       "         8410.53086359174,  8410.741153149525,   8410.95144270731,\n",
-       "        8411.161732265095],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=39999))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d57e27c-fff7-40e2-8504-25e4236258be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d57e27c-fff7-40e2-8504-25e4236258be' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile</dd><dt><span>units :</span></dt><dd>-</dd><dt><span>description :</span></dt><dd>complex profile computed from the fourier transform of the de-ramped chirp</dd></dl></div></li></ul></div></div>"
+       "       1398.0049801514665, 1398.2152697092508, 1398.4255592670354,\n",
+       "         1398.63584882482, 1398.8461383826045,  1399.056427940389,\n",
+       "       1399.2667174981734,  1399.477007055958, 1399.6872966137425,\n",
+       "        1399.897586171527],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=6658))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c24d9b77-dc9f-4718-a44b-38b11a9eec77' class='xr-index-data-in' type='checkbox'/><label for='index-c24d9b77-dc9f-4718-a44b-38b11a9eec77' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-07-07 04:06:57&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4be440b4-76df-4c57-b750-1257227f420f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4be440b4-76df-4c57-b750-1257227f420f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'profile' (time: 1, chirp_num: 100,\n",
-       "                             attenuator_setting_pair: 1, profile_range: 39999)> Size: 64MB\n",
-       "array([[[[ 7.68978553e-03+0.00000000e+00j,\n",
-       "          -9.27273832e-07+6.77336074e-03j,\n",
-       "          -4.56900891e-03-2.38788254e-06j, ...,\n",
-       "          -5.21329130e-07-4.99838438e-07j,\n",
-       "           2.02641074e-07-8.46271999e-07j,\n",
-       "           1.26782906e-06-2.16599516e-08j]],\n",
-       "\n",
-       "        [[ 7.69291628e-03+0.00000000e+00j,\n",
-       "          -4.65191502e-07+6.77615015e-03j,\n",
-       "          -4.57086350e-03-1.61378129e-06j, ...,\n",
-       "          -9.08098710e-07+2.85821091e-07j,\n",
-       "          -5.30522409e-07-9.73941848e-07j,\n",
-       "           1.12872192e-06-5.98828832e-07j]],\n",
-       "\n",
-       "        [[ 7.69441439e-03+0.00000000e+00j,\n",
-       "          -5.68561906e-07+6.77757061e-03j,\n",
-       "          -4.57209974e-03-1.85846492e-06j, ...,\n",
-       "           1.27636810e-06-6.26149904e-07j,\n",
-       "           2.36619677e-07+1.03064573e-06j,\n",
-       "          -7.00436130e-07-4.74906535e-08j]],\n",
-       "...\n",
-       "        [[ 7.55867888e-03+0.00000000e+00j,\n",
-       "          -1.30092000e-07+6.65786473e-03j,\n",
-       "          -4.49106035e-03-1.07170797e-06j, ...,\n",
-       "           5.98589909e-07-3.91519477e-07j,\n",
-       "           5.05116032e-07+2.76446351e-07j,\n",
-       "           2.20810081e-07+4.90185512e-07j]],\n",
-       "\n",
-       "        [[ 7.55818154e-03+0.00000000e+00j,\n",
-       "          -1.00088592e-08+6.65753356e-03j,\n",
-       "          -4.49111002e-03-8.97569910e-07j, ...,\n",
-       "          -9.05339415e-08-3.53241214e-07j,\n",
-       "           2.13017850e-07+4.42310039e-08j,\n",
-       "           2.76789329e-07+1.96950921e-08j]],\n",
-       "\n",
-       "        [[ 7.55803475e-03+0.00000000e+00j,\n",
-       "          -8.02547022e-08+6.65740261e-03j,\n",
-       "          -4.49101016e-03-9.11393854e-07j, ...,\n",
-       "           1.40825291e-06+8.15137952e-07j,\n",
-       "          -6.98290429e-07+1.46028701e-06j,\n",
-       "          -1.34931239e-06-4.58747559e-07j]]]])\n",
+       "<xarray.Dataset> Size: 1MB\n",
+       "Dimensions:          (attenuator_setting_pair: 2, time: 1, chirp_time: 40001,\n",
+       "                      profile_range: 6658)\n",
        "Coordinates:\n",
-       "  * time           (time) datetime64[ns] 8B 2023-01-05T03:16:15\n",
-       "  * chirp_num      (chirp_num) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
-       "    filename       (time) <U57 228B '../../data/sample/single_dat_file/DATA20...\n",
-       "    burst_number   (time) int64 8B 0\n",
-       "    AFGain         (attenuator_setting_pair) int64 8B -4\n",
-       "    attenuator     (attenuator_setting_pair) float64 8B 22.0\n",
-       "    orientation    (time) <U7 28B 'unknown'\n",
-       "  * profile_range  (profile_range) float64 320kB 0.0 0.2103 ... 8.411e+03\n",
+       "    AFGain           (attenuator_setting_pair) int64 16B -4 -14\n",
+       "    attenuator       (attenuator_setting_pair) float64 16B 5.0 5.0\n",
+       "    burst_number     (time) int64 8B 38\n",
+       "    chirp_num        int64 8B 0\n",
+       "  * chirp_time       (chirp_time) timedelta64[ns] 320kB 00:00:00 ... 00:00:01\n",
+       "    filename         (time) <U83 332B 'ldeo-glaciology/GL_apres_2022/A101/Car...\n",
+       "  * profile_range    (profile_range) float64 53kB 0.0 0.2103 ... 1.4e+03 1.4e+03\n",
+       "  * time             (time) datetime64[ns] 8B 2022-07-07T04:06:57\n",
        "Dimensions without coordinates: attenuator_setting_pair\n",
-       "Attributes:\n",
-       "    long_name:    profile\n",
-       "    units:        -\n",
-       "    description:  complex profile computed from the fourier transform of the ..."
+       "Data variables:\n",
+       "    battery_voltage  (time) float64 8B 13.35\n",
+       "    chirp            (time, chirp_time, attenuator_setting_pair) float64 640kB ...\n",
+       "    latitude         (time) float64 8B 68.71\n",
+       "    longitude        (time) float64 8B -49.55\n",
+       "    profile          (time, profile_range, attenuator_setting_pair) complex128 213kB ...\n",
+       "    profile_stacked  (time, profile_range, attenuator_setting_pair) complex128 213kB ...\n",
+       "    temperature_1    (time) float64 8B 11.83\n",
+       "    temperature_2    (time) float64 8B 508.8"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 230,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds.chirp.computeProfile(constants=ds.attrs['constants'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "969 ms ± 43.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "%%timeit\n",
-    "ds = fd.load_all(directory='../../data/sample/single_dat_file/', legacy_fft=True, corrected_pad=True)\n",
-    "ds"
+    "small = big.isel(time = slice(4000, 4001), chirp_num = 0).load()\n",
+    "small"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/xapres/utils.py b/xapres/utils.py
index 12193c3..b1208ac 100644
--- a/xapres/utils.py
+++ b/xapres/utils.py
@@ -256,10 +256,20 @@ def sonify(self,
 
 def addProfileToDs(self: xr.Dataset, **kwargs):
 
-    constants_and_kwargs = self.attrs['constants'] | kwargs
-    profile = self.chirp.computeProfile(constants = self.attrs['constants'], **kwargs)
+    
+    if 'constants' in self.attrs:
+        profile = self.chirp.computeProfile(constants = self.attrs['constants'], **kwargs)
+    else:
+        profile = self.chirp.computeProfile(**kwargs)
 
-    return xr.merge([self, profile], combine_attrs='override')
+    # remove profile variable and profile range, if they exist 
+    if 'profile' in self.data_vars:
+        out = self.drop_dims('profile_range')
+    else: 
+        out = self
+
+        
+    return xr.merge([out, profile], combine_attrs='override')
 
 
 def computeProfile(self: xr.DataArray,
@@ -270,8 +280,8 @@ def computeProfile(self: xr.DataArray,
                    demean=False,
                    detrend=False,
                    stack=False,
-                   crop_chirp_start=None,
-                   crop_chirp_end=None,
+                   crop_chirp_start=0,
+                   crop_chirp_end=1,
                    max_range=None,
                    constants={}):
     """
@@ -294,11 +304,14 @@ def computeProfile(self: xr.DataArray,
     stack : bool, optional
         Whether to stack the chirp data (default is False).
     crop_chirp_start : float, optional
-        Start time for cropping chirps (default is None).
+        Start time for cropping chirps (default is 0).
     crop_chirp_end : float, optional
-        End time for cropping chirps (default is None).
+        End time for cropping chirps (default is 1).
     max_range : float, optional
         Maximum range for the profile (default is None).
+    constants : dict, optional
+        Dictionary of constants for the radar system. 
+        If not supplied defaults are used, defined in default_constants()
     Returns:
     --------
     xr.DataArray
@@ -313,26 +326,30 @@ def computeProfile(self: xr.DataArray,
     c = constants['c']       # speed of light in a vacuum [m/s]
     ep = constants['ep']     # permittivity of ice
     f_c = constants['f_c']   # center frequency [Hz]
+    dt = constants['dt']     # time step [s]
 
     def rdei(x):
-        """round down to the nearest even integer and return an integerr"""
+        """round down to the nearest even integer and return an integer"""
         return int(np.floor(x/2) * 2)
     
     
-    #def freq2range(frequencies):
-    #    """"return the range for a given frequency"""
-    #    return 
+    def freq2range(frequencies):
+        """"return the range for a given frequency"""
+        return c * frequencies / (2*np.sqrt(ep)*K)
 
-    if (crop_chirp_start is not None) ^ (crop_chirp_end is not None):   # xor operation (only one of them is True)
-        raise ValueError("If either of crop_chirp_start or crop_chirp_end is supplied, the other must also be supplied.")
+   # if (crop_chirp_start is not None) ^ (crop_chirp_end is not None):   # xor operation (only one of them is True)
+   #     raise ValueError("If either of crop_chirp_start or crop_chirp_end is supplied, the other must also be supplied.")
 
     chirps = self
 
-    dt = chirps.chirp_time.values[1] - chirps.chirp_time.values[0]
+    #dt = chirps.chirp_time.values[1] - chirps.chirp_time.values[0]
     sampling_frequency = 1/dt 
 
-    if crop_chirp_start is not None:
-        chirps = chirps.sel(chirp_time = slice(crop_chirp_start, crop_chirp_end))
+    if not np.issubdtype(chirps.chirp_time.dtype, 'float64'):
+        chirps['chirp_time'] = chirps.chirp_time.values.astype('float64')/1e9
+
+    #if crop_chirp_start is not None:
+    chirps = chirps.sel(chirp_time = slice(crop_chirp_start, crop_chirp_end))
 
     if drop_noisy_chirps:
         bad_chirps =  chirps.where(abs(chirps) > clip_threshold)
@@ -375,7 +392,7 @@ def rdei(x):
     # range
     indexes      = np.arange(s_wpr.chirp_time.size) 
     frequencies  = indexes * sampling_frequency/s_wpr.chirp_time.size
-    profile_range = c * frequencies / (2*np.sqrt(ep)*K)
+    profile_range = freq2range(frequencies)
 
     # reference array
     m = np.arange(len(S_wpr.chirp_time))/pad_factor
@@ -410,17 +427,16 @@ def default_constants():
     constants['c'] = 300000000.0     # speed of light in a vacuum [m/s]
     constants['ep'] = 3.18           # permittivity of ice
     constants['f_c'] = (constants['f_2']+constants['f_1'])/2   # center frequency [Hz]
-    
+    constants['dt'] = 1/40000        # time step [s]
+
     return constants
     
 def add_methods_to_xarrays():
     
     da_methods = [dB, sonify, displacement_timeseries, computeProfile]
-    
     for method in da_methods:
         setattr(xr.DataArray, method.__name__, method)
 
     ds_methods = [addProfileToDs]
-    
     for method in ds_methods:
         setattr(xr.Dataset, method.__name__, method)
\ No newline at end of file