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fix: replaced inverse by the pseudo inverse in the calculation of

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chi_exp
This commit is contained in:
Fabian Joswig 2022-03-03 18:29:18 +00:00
parent cec0ec83d7
commit 0099750295
1 changed files with 2 additions and 2 deletions
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4
pyerrors/fits.py
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@ -249,7 +249,7 @@ def total_least_squares(x, y, func, silent=False, **kwargs):
new_jac = np.concatenate((fused_row1, fused_row2), axis=1)
A = W @ new_jac
P_phi = A @ np.linalg.inv(A.T @ A) @ A.T
P_phi = A @ np.linalg.pinv(A.T @ A) @ A.T
expected_chisquare = np.trace((np.identity(P_phi.shape[0]) - P_phi) @ W @ cov @ W)
if expected_chisquare <= 0.0:
warnings.warn("Negative expected_chisquare.", RuntimeWarning)
@ -528,7 +528,7 @@ def _standard_fit(x, y, func, silent=False, **kwargs):
W = np.diag(1 / np.asarray(dy_f))
cov = covariance(y)
A = W @ jacobian(func)(fit_result.x, x)
P_phi = A @ np.linalg.inv(A.T @ A) @ A.T
P_phi = A @ np.linalg.pinv(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: