Update power

docs/Tutorials/experiment.md

@@ -107,10 +107,13 @@ Use your pi pulse to plot the IQ scatter to see the readout visibility and fidel
 
 ```python
 v["r_phase"] = 0
-data = quick.experiment.IQScatter(var=v).run().data.T
-c0, c1, visibility, Fg, Fe, fig = quick.iq_scatter(data[0] + 1j * data[1], data[2] + 1j * data[3])
-v["r_phase"], v["r_threshold"] = quick.iq_rotation(c0, c1)
-fig.show()
+for _ in range(1): # iterate
+    data = quick.experiment.IQScatter(var=v).run().data.T
+    c0, c1, visibility, Fg, Fe, fig = quick.iq_scatter(data[0] + 1j * data[1], data[2] + 1j * data[3])
+    phase_delta, v["r_threshold"] = quick.iq_rotation(c0, c1)
+    v["r_phase"] += phase_delta
+    v["r_phase"] %= 360
+    plt.show()
 ```
 
 You can also use the `DispersiveSpectroscopy` to find the best value for `v["r_freq"]`. See API References for details.

quick/VERSION

@@ -1 +1 @@
-0.3.5
+0.3.6

quick/mercator.py

@@ -74,7 +74,7 @@ def parse(soccfg, cfg):
         o["phase"] = cfg.get(f"p{p}_phase", list(np.zeros(len(o["freq"]))) if isinstance(o["freq"], listType) else 0)
         o["idata"] = cfg.get(f"p{p}_idata", None)
         o["qdata"] = cfg.get(f"p{p}_qdata", None)
-        if f"p{p}_power" in cfg:
+        if cfg.get(f"p{p}_power", None) is not None:
             balun = cfg.get(f"p{p}_balun", 2)
             o["gain"] = dbm2gain(cfg[f"p{p}_power"], o["freq"], c["g"][o["g"]]["nqz"], balun)
             cfg[f"p{p}_gain"] = o["gain"] # write back computed gain