Can I read Performance update of an event-type based analysis for the Cherenkov Telescope Array on EtoBox?

Performance update of an event-type based analysis for the Cherenkov Telescope Array by Bernete, Juan; Gueta, Orel; Hassan, Tarek; Linhoff, Max; Maier, Gernot; Sinha, Atreyee is a scholarly article available to read on EtoBox.

What is Performance update of an event-type based analysis for the Cherenkov Telescope Array about?

The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. The traditional approach to data analysis in this field is to apply quality cuts, optimized using Monte Carlo simulations, on the data acquired to maximize sensitivity. Subsequent steps of the analysis typically use the surviving events to calculate one set of instrument response functions (IRFs) to physically interpret the results. However, an alternative approach is the use of event types, as implemented in experiments such as the Fermi-LAT. This approach divides events into sub-samples based on their reconstruction quality, and a set of IRFs is calculated for each sub-sample. The sub-samples are then combined in a joint analysis, treating them as independent observations. In previous works we demonstrated that event types, classified using Machine Learning methods according to their expected angular reconstruction quality, have the potential to significantly improve the CTA angular and energy resolution of a point-like source analysis. Now, we validated the production of event-type wise full-enclosure IRFs, ready to be

Author

Bernete, Juan; Gueta, Orel; Hassan, Tarek; Linhoff, Max; Maier, Gernot; Sinha, Atreyee

Published

2023

Language

EN