The VERITAS standard data analysis
M.K. Daniel (for the VERITAS collaboration)

TL;DR
This paper details the data analysis process for VERITAS, an array of telescopes observing high-energy gamma rays, including data reduction, event reconstruction, and background rejection techniques.
Contribution
It introduces the specific analysis chain used for processing VERITAS data, enhancing gamma-ray source detection accuracy.
Findings
Effective background rejection achieved
Accurate gamma-ray direction and energy reconstruction
Established data analysis pipeline for VERITAS
Abstract
VERITAS is an array of Imaging Atmospheric Cherenkov Telescopes designed for very high energy gamma ray (E>100,GeV) observations of astrophysical sources. The experiment began its scientific observation program in the 2006/2007 observing season. We describe here the analysis chain for reducing the data, reconstructing the direction and energy of incident gamma rays and the rejection of background cosmic rays.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Gamma-ray bursts and supernovae · Dark Matter and Cosmic Phenomena
