The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Dainis Dravins

Dainis Dravins

Professor emeritus

Dainis Dravins

Performance update of an event-type based analysis for the Cherenkov Telescope Array

Author

  • J. Bernete
  • C. Carlile
  • D. Dravins
  • J. Zuriaga-Puig

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. 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 used with science tools (such as Gammapy and ctools). We will report on the impact of using such an event-type classification on CTA high-level performance, compared to the traditional procedure. © Copyright owned by the author(s) under the terms of the Creative Commons.

Department/s

  • Astrophysics

Publishing year

2024

Language

English

Document type

Conference paper

Topic

  • Astronomy, Astrophysics and Cosmology

Keywords

  • Cerenkov counters
  • Space telescopes
  • Astroparticle physics
  • Cherenkov telescope arrays
  • Event Types
  • Gamma-rays
  • Instrument response functions
  • Performance
  • Reconstruction quality
  • Sub-samples
  • Type-based analysis
  • Very high energies
  • Cosmology

Status

Published