Stacked search for time shifted high energy neutrinos from gamma ray bursts with the Antares neutrino telescope

A search for high-energy neutrino emission correlated with gamma-ray bursts outside the electromagnetic prompt-emission time window is presented. Using a stacking approach of the time delays between reported gamma-ray burst alerts and spatially coincident muon-neutrino signatures, data from the Anta...

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Detalles Bibliográficos
Autores: Adrian Martinez, Silvia, Albert, Andreas, André, Michel|||0000-0002-0091-7279, Anghinolfi, Marco
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/102525
Acceso en línea:https://hdl.handle.net/2117/102525
https://dx.doi.org/10.1140/epjc/s10052-016-4496-8
Access Level:acceso abierto
Palabra clave:Neutrinos
Gamma ray astronomy
Astrophysics
Neutrino astrophysics
Neutrins
Raigs gamma
Astrofísica
Àrees temàtiques de la UPC::Física::Astronomia i astrofísica
Descripción
Sumario:A search for high-energy neutrino emission correlated with gamma-ray bursts outside the electromagnetic prompt-emission time window is presented. Using a stacking approach of the time delays between reported gamma-ray burst alerts and spatially coincident muon-neutrino signatures, data from the Antares neutrino telescope recorded between 2007 and 2012 are analysed. One year of public data from the IceCube detector between 2008 and 2009 have been also investigated. The respective timing profiles are scanned for statistically significant accumulations within 40 days of the Gamma Ray Burst, as expected from Lorentz Invariance Violation effects and some astrophysical models. No significant excess over the expected accidental coincidence rate could be found in either of the two data sets. The average strength of the neutrino signal is found to be fainter than one detectable neutrino signal per hundred gamma-ray bursts in the Antares data at 90% confidence level.