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Gamma/Hadron Separation with the HAWC Observatory

Authors :
R. Alfaro
C. Alvarez
J.D. Álvarez
J.R. Angeles Camacho
J.C. Arteaga-Velázquez
D. Avila Rojas
H.A. Ayala Solares
R. Babu
E. Belmont-Moreno
C. Brisbois
K.S. Caballero-Mora
T. Capistrán
A. Carramiñana
S. Casanova
O. Chaparro-Amaro
U. Cotti
J. Cotzomi
S. Coutiño de León
E. De la Fuente
C. de León
R. Diaz Hernandez
B.L. Dingus
M.A. DuVernois
M. Durocher
J.C. Díaz-Vélez
R.W. Ellsworth
K. Engel
C. Espinoza
K.L. Fan
M. Fernández Alonso
N. Fraija
D. Garcia
J.A. García-González
F. Garfias
M.M. González
J.A. Goodman
J.P. Harding
S. Hernandez
B. Hona
D. Huang
F. Hueyotl-Zahuantitla
P. Hüntemeyer
A. Iriarte
A. Jardin-Blicq
V. Joshi
S. Kaufmann
G.J. Kunde
A. Lara
W.H. Lee
J. Lee
H. León Vargas
J.T. Linnemann
G. Luis-Raya
J. Lundeen
K. Malone
V. Marandon
O. Martinez
J. Martínez-Castro
J.A. Matthews
P. Miranda-Romagnoli
J.A. Morales-Soto
A. Nayerhoda
L. Nellen
M.U. Nisa
R. Noriega-Papaqui
L. Olivera-Nieto
N. Omodei
A. Peisker
Y. Pérez Araujo
E.G. Pérez-Pérez
C.D. Rho
D. Rosa-González
E. Ruiz-Velasco
H. Salazar
F. Salesa Greus
A. Sandoval
P.M. Saz Parkinson
J. Serna-Franco
A.J. Smith
R.W. Springer
O. Tibolla
K. Tollefson
I. Torres
R. Torres-Escobedo
R. Turner
F. Ureña-Mena
L. Villaseñor
X. Wang
I.J. Watson
F. Werner
E. Willox
J. Wood
A. Zepeda
H. Zhou
Source :
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Publication Year :
2022

Abstract

The High Altitude Water Cherenkov (HAWC) gamma-ray observatory observes atmospheric showers produced by incident gamma rays and cosmic rays with energy from 300 GeV to more than 100 TeV. A crucial phase in analyzing gamma-ray sources using ground-based gamma-ray detectors like HAWC is to identify the showers produced by gamma rays or hadrons. The HAWC observatory records roughly 25,000 events per second, with hadrons representing the vast majority ($>99.9\%$) of these events. The standard gamma/hadron separation technique in HAWC uses a simple rectangular cut involving only two parameters. This work describes the implementation of more sophisticated gamma/hadron separation techniques, via machine learning methods (boosted decision trees and neural networks), and summarizes the resulting improvements in gamma/hadron separation obtained in HAWC.<br />35 pages, 9 figures, published in Nuclear Instruments and Methods in Physics Research Section A

Details

Language :
English
Database :
OpenAIRE
Journal :
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Accession number :
edsair.doi.dedup.....0f47f92a5f9d86e2623d1d33f1771439