Hi Ana,
what is the final analysis product you’re interested in?
There’s in principle (at least) two ways to analyse a Fermi-LAT source:
1. Choose a large ROI (e.g. 20 deg radius), model and fit all sources and diffuse emission components in that ROI.
If you want to make light-curves and have many time bins, it can be computationally very intensive to obtain the results.
2. Do aperture photometry
This is a simpler and faster analysis where you don’t model the spatial distribution of the photons.
It doesn’t work well at low energies (where the Fermi-LAT PSF is very large) and crowded regions.
But at high energies (where the Fermi-LAT PSF is much smaller) and for rather isolated sources, if they dominate the emission at their location, this can work nicely.
Another benefit with the aperture photometry is that you get a list of events for that region, whereas with method 1 you never try to make this decision about which photon belongs to your source or other emission components. Although you still could run
http://fermi.gsfc.nasa.gov/ssc/data/analysis/scitools/help/gtsrcprob.txt and obtain such a probability for each event.
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If you do just want to do a region-based analysis and select photons of interest and work with them, you could also look at writing your own analysis script using astropy.table.Table.read to read the event list
and then select the photons you’re interested in, and use the RA, DEC, ENERGY and TIME columns to get their measured properties.
I’m not sure if there’s a pre-baked function for that in Enrico or Gammapy, but some example code showing how to do a cone selection:
Basically: think about the analysis you’d like to do first and which analysis method would be most appropriate, and then come back with questions about how to run the tools or write the scripts to implement that analysis procedure.