When following the tutorial, I have issues with the "Fitting PSF Parameters to Monte Carlo" step.
I am able to get reasonable alpha_fit, beta_fit, only 13 of the fitted bins are skipped.
When using the alpha_interp, beta_interp however I get repeated values for alpha and beta for multiple events. I get the same alpha and beta combination for ~16% of the events that I interpolate. There are no other alpha or beta values repeated and it seems nonphysical for me that 16% of events have the exact same alpha and beta values. I think the issue is somewhere with the RegularGridInterpolator.
Using the wrapper.py I am however able to get alpha and beta values, which seem reasonable (repeats only 1% of events with same alpha or beta).
When following the tutorial, I have issues with the "Fitting PSF Parameters to Monte Carlo" step.
I am able to get reasonable alpha_fit, beta_fit, only 13 of the fitted bins are skipped.
When using the alpha_interp, beta_interp however I get repeated values for alpha and beta for multiple events. I get the same alpha and beta combination for ~16% of the events that I interpolate. There are no other alpha or beta values repeated and it seems nonphysical for me that 16% of events have the exact same alpha and beta values. I think the issue is somewhere with the RegularGridInterpolator.
Using the wrapper.py I am however able to get alpha and beta values, which seem reasonable (repeats only 1% of events with same alpha or beta).