Algorithm for Background Rejection using Image Residuals

Ren HX, Olivera-Nieto L, Mitchell A, Marandon V, Hinton JA (2024)

Publication Type: Conference contribution

Publication year: 2024

Journal

PoS - Proceedings of Science SISSA

Publisher: Sissa Medialab Srl

Book Volume: 417

Conference Proceedings Title: Proceedings of Science

Event location: Barcelona ES

Abstract

Identification of Cherenkov light generated by muons has been suggested as a promising way to dramatically improve the background rejection power of Imaging Atmospheric Cherenkov Telescopes (IACT) arrays at high energies. However, muon identification remains a challenging task, for which efficient algorithms are still being developed. We present an algorithm in which, rather than identifying Cherenkov light from muons, we simply consider the presence of Cherenkov light other than the main shower image in IACT with large mirror area. We show that in the case of the H.E.S.S. array of five telescopes this approach results in background rejection improvements at all energies above 1 TeV, while keeping high gamma-ray efficiency.

Authors with CRIS profile

Alison Mitchell Lehrstuhl für Physik

Involved external institutions

Max-Planck-Institut für Kernphysik (MPIK) / Max Planck Institute for Nuclear Physics DE Germany (DE)

How to cite

APA:

Ren, H.X., Olivera-Nieto, L., Mitchell, A., Marandon, V., & Hinton, J.A. (2024). Algorithm for Background Rejection using Image Residuals. In Proceedings of Science. Barcelona, ES: Sissa Medialab Srl.

MLA:

Ren, H. X., et al. "Algorithm for Background Rejection using Image Residuals." Proceedings of the 7th Heidelberg International Symposium on High-Energy Gamma-Ray Astronomy, Gamma 2022, Barcelona Sissa Medialab Srl, 2024.

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