diff --git a/notebooks/NIRISS/NIRISS_WFSS_postpipeline/03_Spatially_resolved_emission_line_map.ipynb b/notebooks/NIRISS/NIRISS_WFSS_postpipeline/03_Spatially_resolved_emission_line_map.ipynb
index ff3f2d309..cc00eb9b0 100755
--- a/notebooks/NIRISS/NIRISS_WFSS_postpipeline/03_Spatially_resolved_emission_line_map.ipynb
+++ b/notebooks/NIRISS/NIRISS_WFSS_postpipeline/03_Spatially_resolved_emission_line_map.ipynb
@@ -428,18 +428,18 @@
     "spectrum_cut = Spectrum1D(flux=line_2d[yy, :][con]*spec_unit,\n",
     "                          spectral_axis=wave_2d[yy, :][con]*u.um)\n",
     "\n",
-    "# !!! Some tweaks may be needed for initial value, to successfuully run the fit;\n",
+    "# !!! Some tweaks may be needed for initial value, to successfully run the fit;\n",
     "\n",
     "# For Hb\n",
-    "g1_init = models.Gaussian1D(amplitude=40*spec_unit, mean=1.5*u.um, stddev=0.005*u.um)\n",
+    "g1_init = models.Gaussian1D(amplitude=100*spec_unit, mean=1.51*u.um, stddev=0.009*u.um)\n",
     "\n",
     "# For O3 blue\n",
-    "g2_init = models.Gaussian1D(amplitude=50.*spec_unit, mean=1.535*u.um, stddev=0.002*u.um)\n",
+    "g2_init = models.Gaussian1D(amplitude=80.*spec_unit, mean=1.53*u.um, stddev=0.006*u.um)\n",
     "\n",
     "# For O3 red\n",
-    "g3_init = models.Gaussian1D(amplitude=45.*spec_unit, mean=1.55*u.um, stddev=0.001*u.um)\n",
+    "g3_init = models.Gaussian1D(amplitude=200.*spec_unit, mean=1.55*u.um, stddev=0.006*u.um)\n",
     "\n",
-    "g123_fit = fit_lines(spectrum_cut, g1_init+g2_init+g3_init, window=[0.01*u.um, 0.001*u.um, 0.001*u.um])\n",
+    "g123_fit = fit_lines(spectrum_cut, g1_init+g2_init+g3_init)\n",
     "y_fit = g123_fit(wave_2d[yy, :]*u.um)\n",
     "\n",
     "print(g123_fit)"
@@ -515,12 +515,12 @@
     "    # !!! Some tweaks may be needed for initial value, to successfuully run the fit;\n",
     "\n",
     "    # For Hb\n",
-    "    g1_init = models.Gaussian1D(amplitude=40*spec_unit, mean=1.5*u.um, stddev=0.005*u.um)\n",
+    "    g1_init = models.Gaussian1D(amplitude=100*spec_unit, mean=1.51*u.um, stddev=0.009*u.um)\n",
     "    # For O3 blue\n",
-    "    g2_init = models.Gaussian1D(amplitude=50.*spec_unit, mean=1.535*u.um, stddev=0.002*u.um)\n",
+    "    g2_init = models.Gaussian1D(amplitude=80.*spec_unit, mean=1.53*u.um, stddev=0.006*u.um)\n",
     "    # For O3 red\n",
-    "    g3_init = models.Gaussian1D(amplitude=45.*spec_unit, mean=1.55*u.um, stddev=0.001*u.um)\n",
-    "    g123_fit = fit_lines(spectrum_cut, g1_init+g2_init+g3_init, window=[0.01*u.um, 0.001*u.um, 0.001*u.um])\n",
+    "    g3_init = models.Gaussian1D(amplitude=200.*spec_unit, mean=1.55*u.um, stddev=0.006*u.um)\n",
+    "    g123_fit = fit_lines(spectrum_cut, g1_init+g2_init+g3_init)\n",
     "    y_fit = g123_fit(wave_2d[yy, :]*u.um)\n",
     "\n",
     "    # This has to be done at each y pixel, as wavelength array can be tilted.\n",
@@ -593,7 +593,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,