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Matched Runs Method to Study Extended Regions of Gamma-ray Emission

  • the VERITAS Collaboration
  • University of Utah
  • Columbia University
  • DePauw University
  • Harvard & Smithsonian
  • Washington University in St. Louis
  • Barnard College
  • California Polytechnic State University, San Luis Obispo
  • Iowa State University
  • Methodology Center at Penn State
  • University College Dublin
  • The Bartol Research Institute
  • University of Minnesota
  • California State University, East Bay
  • Georgia Institute of Technology
  • University of Galway
  • DESY
  • McGill University
  • Santa Cruz Institute for Particle Physics
  • University of Alabama
  • University of Iowa
  • Universidad Complutense de Madrid
  • University of California, Los Angeles
  • University of Potsdam
  • South Campus
  • Purdue University

Research output: Contribution to a Journal (Peer & Non Peer)Conference articlepeer-review

Abstract

Imaging atmospheric Cherenkov telescopes, such as the Very Energetic Radiation Imaging Telescope Array System (VERITAS), are uniquely suited to resolve the detailed morphology of extended regions of gamma-ray emission. However, standard VERITAS data analysis techniques have insufficient sensitivity to gamma-ray sources spanning the VERITAS field of view (3.5°), due to difficulties with background estimation. For analysis of such spatially extended sources with 0.5° to greater than 2° radius, we developed the Matched Runs Method. This method derives background estimations for observations of extended sources using matched separate observations of known point sources taken under similar observing conditions. Our technique has been validated by application to archival VERITAS data. Here we present a summary of the Matched Runs Method and multiple validation studies on different gamma-ray sources using VERITAS data.

Original languageEnglish
Article number729
JournalProceedings of Science
Volume395
Publication statusPublished - 18 Mar 2022
Event37th International Cosmic Ray Conference, ICRC 2021 - Virtual, Berlin, Germany
Duration: 12 Jul 202123 Jul 2021

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