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General Probe objects (e.g. NeutronProbe) store oversampling information, but only general oversampling, not oversampling created with the critical_edge function.
QProbe (frequently used with data from facilities that do not produce dTheta / dLambda data explicitly from reduction) does not store oversampling information at all.
The impact of this is that oversampling information is lost when deserializing a serialized model (e.g. from a session history), and the fit results are different than the saved value.
The text was updated successfully, but these errors were encountered:
This issue is actually two-fold:
Probe
objects (e.g.NeutronProbe
) store oversampling information, but only general oversampling, not oversampling created with thecritical_edge
function.QProbe
(frequently used with data from facilities that do not produce dTheta / dLambda data explicitly from reduction) does not store oversampling information at all.The impact of this is that oversampling information is lost when deserializing a serialized model (e.g. from a session history), and the fit results are different than the saved value.
The text was updated successfully, but these errors were encountered: