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Colin Carlile, researcher at Lund Observatory. Photo.

Colin Carlile

Guest researcher

Colin Carlile, researcher at Lund Observatory. Photo.

Performance of a proposed event-type based analysis for the Cherenkov Telescope Array

Author

  • T. Hassan
  • O. Gueta
  • G. Maier
  • M. Nöthe
  • M. Peresano
  • I. Vovk
  • C. Carlile
  • D. Dravins
  • A. Zmija

Summary, in English

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. Classically, data analysis in the field maximizes sensitivity by applying quality cuts on the data acquired. These cuts, optimized using Monte Carlo simulations, select higher quality events from the initial dataset. Subsequent steps of the analysis typically use the surviving events to calculate one set of instrument response functions (IRFs). An alternative approach is the use of event types, as implemented in experiments such as the Fermi-LAT. In this approach, events are divided 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. This leads to an improvement in performance parameters such as sensitivity, angular and energy resolution. Data loss is reduced since lower quality events are included in the analysis as well, rather than discarded. In this study, machine learning methods will be used to classify events according to their expected angular reconstruction quality. We will report the impact on CTA high-level performance when applying such an event-type classification, compared to the classical procedure. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

Department/s

  • Lund Observatory - Has been reorganised

Publishing year

2022

Language

English

Publication/Series

Proceedings of Science

Volume

395

Document type

Conference paper

Topic

  • Astronomy, Astrophysics and Cosmology

Keywords

  • Cosmology
  • Gamma rays
  • Germanium alloys
  • Germanium compounds
  • Intelligent systems
  • Learning systems
  • Quality control
  • Telescopes
  • Tellurium compounds
  • Astroparticle physics
  • Cherenkov telescope arrays
  • Event Types
  • Gamma-rays
  • Instrument response functions
  • Performance
  • Reconstruction quality
  • Sub-samples
  • Type-based analysis
  • Very high energies
  • Monte Carlo methods

Conference name

37th International Cosmic Ray Conference

Conference date

2021-07-12 - 2021-07-23

Conference place

Berlin, Germany

Status

Published

ISBN/ISSN/Other

  • ISSN: 1824-8039