Feature #1037
Updated by Deil Christoph over 10 years ago
In HAP we usually combine all runs into total counts and exposure and exposure-averaged average PSF before fitting the morphology and spectrum.
This looses some information, but means a factor 100 speed-up for a binned the likelihood fit for 100 runs.
Plus there might be problems with having too many free background parameters when fitting per-run data with per-run IRFs.
So we should develop ctools tools to combine IRFs (and maybe counts).
As a start it could be a two-page Python script ... it's basically summing up. event lists).
This looses some information, but means a factor 100 speed-up for a binned the likelihood fit for 100 runs.
Plus there might be problems with having too many free background parameters when fitting per-run data with per-run IRFs.
So we should develop ctools tools to combine IRFs (and maybe counts).
As a start it could be a two-page Python script ... it's basically summing up. event lists).