Building upon the technology of current ground-based gamma-ray astronomy detectors, the next generation Cherenkov Telescope Array (CTA) is expected to have a 10 fold increase in sensitivity. Operating as an open observatory, this will, for the first time, make atmospheric Cherenkov data available to the entire scientific community. This requires dedicated software development. Gammapy, an open-source python package, built on Numpy and Astropy, is a prototype for the CTA science tools. Presently, it is also being used to analyse data from existing gamma-ray telescopes, mainly HESS and Fermi-LAT.
In this presentation, I will briefly introduce the CTA and its key science projects, and then talk about the Gammapy project. Gammapy can be used to analyse gamma-ray data to extract and fit sky images, spectra and lightcurves, from event lists and instrument response information. I will mainly concentrate on a novel ‘n-d cube‘ analysis we are currently developing, which allows the user to extract and model data in 2 spatial and an arbitrary number of number of non-spatial axes (eg., time, energy, phase, etc.) simultaneously, giving an enormous scientific edge over other packages.
|
Event calendar file
