Update fit2.py
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@ -59,7 +59,7 @@ def fitccl(
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x = list(meas["om"])
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x = list(meas["om"])
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y = list(meas["Counts"])
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y = list(meas["Counts"])
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# if the dictionaries were merged/substracted, takes the errors from them, if not, takes them as sqrt(y)
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# if the dictionaries were merged/substracted, takes the errors from them, if not, takes them as sqrt(y)
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y_err = np.sqrt(y) if meas.get("sigma", None) is None else meas[keys].get("sigma")
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y_err = np.sqrt(y) if meas.get("sigma", None) is None else meas.get("sigma")
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if len(meas["peak_indexes"]) == 0:
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if len(meas["peak_indexes"]) == 0:
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# Case for no peak, gaussian in centre, sigma as 20% of range
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# Case for no peak, gaussian in centre, sigma as 20% of range
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