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Bugfix in tests, changed output in case of correlated fits

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This commit is contained in:
Simon Kuberski 2021-11-15 17:54:04 +01:00
parent 9839eb7f0c
commit 522a1f152a
2 changed files with 11 additions and 11 deletions
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10
pyerrors/fits.py
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@ -584,18 +584,16 @@ def _standard_fit(x, y, func, silent=False, **kwargs):
print('chisquare/d.o.f.:', output.chisquare_by_dof)
if kwargs.get('expected_chisquare') is True:
if kwargs.get('correlated_fit') is True:
output.chisquare_by_expected_chisquare = output.chisquare_by_dof
else:
if kwargs.get('correlated_fit') is not True:
W = np.diag(1 / np.asarray(dy_f))
cov = covariance_matrix(y)
A = W @ jacobian(func)(fit_result.x, x)
P_phi = A @ np.linalg.inv(A.T @ A) @ A.T
expected_chisquare = np.trace((np.identity(x.shape[-1]) - P_phi) @ W @ cov @ W)
output.chisquare_by_expected_chisquare = chisquare / expected_chisquare
if not silent:
print('chisquare/expected_chisquare:',
output.chisquare_by_expected_chisquare)
if not silent:
print('chisquare/expected_chisquare:',
output.chisquare_by_expected_chisquare)
fitp = np.concatenate((fit_result.x, [o.value for o in const_par]))
hess_inv = np.linalg.pinv(jacobian(jacobian(chisqfunc_aug))(fitp))