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dc.date.accessioned 2019-07-15T18:53:49Z
dc.date.available 2019-07-15T18:53:49Z
dc.date.issued 2009-03-13
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/78183
dc.description.abstract Azimuthal asymmetries in signals of non-vertical showers have been observed in ground arrays of water Cherenkov detectors, like Haverah Park and the Pierre Auger Observatory. The asymmetry in time distri- butions of arriving particles offers a new possibility for the determination of the mass composition. The dependence of this asymmetry on atmospheric depth shows a clear maximum at a position that is cor- related with the primary species. In this work a novel method to determine mass composition based on these features of the ground signals is presented and a Monte Carlo study of its sensitivity is carried out. en
dc.format.extent 312-319 es
dc.language en es
dc.subject Física es
dc.subject Extensive air showers en
dc.subject Composition en
dc.subject Energy spectra and interactions en
dc.subject Cosmic rays en
dc.title Time asymmetries in extensive air showers: A novel method to identify UHECR species en
dc.type Articulo es
sedici.identifier.other https://doi.org/10.1016/j.astropartphys.2009.03.001
sedici.identifier.issn 0927-6505 es
sedici.creator.person Dova, María Teresa es
sedici.creator.person Manceñido, Mónica E. es
sedici.creator.person Mariazzi, Analisa Gabriela es
sedici.creator.person Wahlberg, Hernán Pablo es
sedici.subject.materias Ciencias Exactas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Astroparticle Physics es
sedici.relation.journalVolumeAndIssue vol. 31, no. 4 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)