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Update fit2.py

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fixed the weighted fit
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JakHolzer 2020-10-13 18:07:47 +02:00 committed by GitHub
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commit fc70bdcb13
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pyzebra/fit2.py
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@ -157,7 +157,7 @@ def fitccl(
),
)
# the weighted fit
result = mod.fit(y, params, weights=y_err, x=x, calc_covar=True)
result = mod.fit(y, params, weights=[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()