التفاصيل البيبلوغرافية
العنوان:
Horizontal muon track identification with neural networks in HAWC
المؤلفون:
Ian Herzog , Lukas Nellen , Hao Zhou , Ramiro Torres Escobedo , Segev BenZvi , Nicola Omodei , Samridha Kunwar , Arturo Iriarte , Israel Martinez Castellanos , David Kieda , Ke Fang , Hannah Jhee , Josefa Becerra Gonzalez , Harm Schoorlemmer , Jesús Martínez-Castro , Michael Newbold , Francisco Salesa Greus , Fernando Garfias , J. A. Goodman , Joshua Wood , David Berley , Nissim Illich Fraija , Alison Peisker , Thomas Weisgarber , Andrew James Smith , Xiaojie Wang , Henrike Fleischhack , Rishi Babu , Kelly Malone , Jason Fan , Humberto Ibarguen Salazar , Rhiannon Turner , Chad Brisbois , Vikas Joshi , Kristi Engel , Dezhi Huang , Diego Garcia Aguilar , Vincent Marandon , Alberto Carramiñana , Brenda Dingus , Mehr Nisa , Raquel Diaz Hernandez , Ian James Watson , Vardan Baghmanyan , José Roberto Angeles Camacho , Daniel Omar Avila Rojas , Hawc , Miguel Mostafa , Dirk Lennarz , Jorge Luis Flores , Cederik León de León , Ibrahim Torres , Joe Lundeen , Gilgamesh Luis-Raya , Maria Magdalena González , Pedro Miranda-Romagnoli , Kirsten Tollefson , Eucario Gonzalo Pérez Pérez , Andrea Albert , Hugo Alberto Ayala Solares , Eduardo Moreno Barbosa , Roberto Noriega-Papaqui , Eduardo de la Fuente , Gwenael Giacinti , Filiberto Hueyotl-Zahuantitla , Juan Carlos Arteaga Velazquez , Guillermo García-Torales , Arun Babu Kollamparambil , Robert Ellsworth , Meghan Tanner , Gerd J. Kunde , Colas Rivière , Hermes Leon Vargas , Oscar Chaparro-Amaro , Umberto Cotti , Arnulfo Zepeda , Sabrina Casanova , Ruben Lopez-Coto , Brian Fick , Pooja Surajbali , Andrés Sandoval , Lorenzo Diaz , Laura Olivera-Nieto , Yunior Pérez Araujo , Anna Lia Longinotti , Gus Sinnis , Fernando Ureña-Mena , Ernesto Belmont-Moreno , Jim Hinton , María Catalina Espinoza Hernández , Jorge Antonio Morales Soto , Tomás Capistrán , Hazal Goksu , Gaurang Yodh , Sergio Hernández Cadena , Brian Humensky , Jorge Cotzomi , Anushka Udara Abeysekara , Michelle Hui , Elijah Willox , César Alvarez , Jose Luis García-Luna , Ignacio Taboada , José Serna-Franco , Ruben Alfaro , Karen S. Caballero Mora , Jason Lee , J. T. Linnemann , Daniel Rosa-Gonzalez , Michael Schneider , Luis Villaseñor , Felix Werner , Ahron S. Barber , Jose Andres Garcia-Gonzalez , John Matthews , Mora Durocher , Petra Hüntemeyer , Mateo Fernandez Alonso , Oscar Martinez , Wayne Robert Springer , Amid Nayerhoda , James Ryan , Binita Hona , Sara Coutiño de Leon , Alejandro Lara , Michael DuVernois , Juan de Dios Álvarez Romero , William H. Lee , Julie McEnery , Juan Carlos Díaz Vélez , Chang Dong Rho , Armelle Jardin-Blicq , J. Patrick Harding , Humberto Martínez Huerta , Edna Ruiz-Velasco
المساهمون:
HAWC Collaboration
المصدر:
Proceedings of Science
سنة النشر:
2022
مصطلحات موضوعية:
HAWC - Abteilung Hinton , Physics - Instrumentation and Detectors , Muon , Artificial neural network , Computer science , business.industry , Track (disk drive) , Computer Science::Neural and Evolutionary Computation , FOS: Physical sciences , Instrumentation and Detectors (physics.ins-det) , Identification (information) , Computer vision , Artificial intelligence , Astrophysics - Instrumentation and Methods for Astrophysics , business , Instrumentation and Methods for Astrophysics (astro-ph.IM)
الوصف:
Nowadays the implementation of artificial neural networks in high-energy physics has obtained excellent results on improving signal detection. In this work we propose to use neural networks (NNs) for event discrimination in HAWC. This observatory is a water Cherenkov gamma-ray detector that in recent years has implemented algorithms to identify horizontal muon tracks. However, these algorithms are not very efficient. In this work we describe the implementation of three NNs: two based on image classification and one based on object detection. Using these algorithms we obtain an increase in the number of identified tracks. The results of this study could be used in the future to improve the performance of the Earth-skimming technique for the indirect measurement of neutrinos with HAWC.
وصف الملف:
application/pdf
الوصول الحر:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b34e9cfa80f6c464b7fc5bb1d9e45690Test https://hdl.handle.net/21.11116/0000-000C-0D9C-721.11116/0000-000C-0D9E-5Test
حقوق:
OPEN
رقم الانضمام:
edsair.doi.dedup.....b34e9cfa80f6c464b7fc5bb1d9e45690
قاعدة البيانات:
OpenAIRE
