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Update fit2.py

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moved the check up so it catches it  right after fitting. I think this should solve the problem.
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JakHolzer 2020-10-20 10:44:01 +02:00 committed by GitHub
parent 0156752686
commit 6722ee601e
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1 changed files with 6 additions and 4 deletions
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pyzebra/fit2.py
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@ -131,14 +131,16 @@ def fitccl(
result = mod.fit(
y, params, weights=[np.abs(1 / y_err[i]) for i in range(len(y_err))], x=x, calc_covar=True
)
# u.ufloat to work with uncertanities
fit_area = u.ufloat(result.params["g_amp"].value, result.params["g_amp"].stderr)
comps = result.eval_components()
if result.params["g_amp"].stderr is None:
result.params["g_amp"].stderr = result.params["g_amp"].value
elif result.params["g_amp"].stderr > result.params["g_amp"].value:
result.params["g_amp"].stderr = result.params["g_amp"].value
# u.ufloat to work with uncertanities
fit_area = u.ufloat(result.params["g_amp"].value, result.params["g_amp"].stderr)
comps = result.eval_components()
if len(meas["peak_indexes"]) == 0:
# for case of no peak, there is no reason to integrate, therefore fit and int are equal