Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory

The determination of the primary energy of extensive air showers using the uorescence detection technique requires an estimation of the energy carried away by particles that do not deposit all their energy in the atmosphere. This estimation is typically made using Monte Carlo simulations and thus de...

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Detalles Bibliográficos
Autores principales:	Calcagni, Laura Randa, Dova, María Teresa, Hansen, Patricia María, Mariazzi, Analisa Gabriela, Sciutto, Sergio Juan, Tueros, Matías Jorge, Vergara Quispe, Indira Dajhana, Wahlberg, Hernán Pablo, The Pierre Auger Collaboration
Formato:	Articulo Preprint
Lenguaje:	Inglés
Publicado:	2019
Materias:	Ciencias Exactas Física Cascada atmosférica extensa Fluorescencia Pierre Auger Observatory Radiación cósmica
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/81034
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-81034
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Exactas Física Cascada atmosférica extensa Fluorescencia Pierre Auger Observatory Radiación cósmica
spellingShingle	Ciencias Exactas Física Cascada atmosférica extensa Fluorescencia Pierre Auger Observatory Radiación cósmica Calcagni, Laura Randa Dova, María Teresa Hansen, Patricia María Mariazzi, Analisa Gabriela Sciutto, Sergio Juan Tueros, Matías Jorge Vergara Quispe, Indira Dajhana Wahlberg, Hernán Pablo The Pierre Auger Collaboration Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory
topic_facet	Ciencias Exactas Física Cascada atmosférica extensa Fluorescencia Pierre Auger Observatory Radiación cósmica
description	The determination of the primary energy of extensive air showers using the uorescence detection technique requires an estimation of the energy carried away by particles that do not deposit all their energy in the atmosphere. This estimation is typically made using Monte Carlo simulations and thus depends on the assumed primary particle mass and on model predictions for neutrino and muon production. In this work we present a new method to obtain the invisible energy from events detected by the Pierre Auger Observatory. The method uses measurements of the muon number at ground level, and it allows us to reduce signi cantly the systematic uncertainties related to the mass composition and the high energy hadronic interaction models, and consequently to improve the estimation of the energy scale of the Observatory.
format	Articulo Preprint
author	Calcagni, Laura Randa Dova, María Teresa Hansen, Patricia María Mariazzi, Analisa Gabriela Sciutto, Sergio Juan Tueros, Matías Jorge Vergara Quispe, Indira Dajhana Wahlberg, Hernán Pablo The Pierre Auger Collaboration
author_facet	Calcagni, Laura Randa Dova, María Teresa Hansen, Patricia María Mariazzi, Analisa Gabriela Sciutto, Sergio Juan Tueros, Matías Jorge Vergara Quispe, Indira Dajhana Wahlberg, Hernán Pablo The Pierre Auger Collaboration
author_sort	Calcagni, Laura Randa
title	Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory
title_short	Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory
title_full	Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory
title_fullStr	Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory
title_full_unstemmed	Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory
title_sort	data-driven estimation of the invisible energy of cosmic ray showers with the pierre auger observatory
publishDate	2019
url	http://sedici.unlp.edu.ar/handle/10915/81034
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Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory

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