When performing several fits with different combinations of observables, a wrong Warning occurs when one first defines e.g. a global fit and then fits for individual observables. The reason for this is the pseudo-measurement added to the list of measurements by defining the global fit. This pseudo-measurement includes all the observables and thus also constraints all the observables.
Afterwards, trying to fit an individual observable results in the Warning
("{} of the measurements in the fit '{}' "
"constrain both '{}' and '{}', but only the "
"latter is included among the fit "
"observables. This can lead to inconsistent "
"results as the former is profiled over."
).format(count, self.name, obs1, obs2))
Explicitly specifying the measurements with include_measurement avoids this problem by not including the pseudo-measurements.
DavidMStraub
commented
7 years ago
When performing several fits with different combinations of observables, a wrong Warning occurs when one first defines e.g. a global fit and then fits for individual observables. The reason for this is the pseudo-measurement added to the list of measurements by defining the global fit. This pseudo-measurement includes all the observables and thus also constraints all the observables. Afterwards, trying to fit an individual observable results in the Warning
Explicitly specifying the measurements with
include_measurementavoids this problem by not including the pseudo-measurements.