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Extraction of the atmospheric neutrino fluxes from experimental event rate data

AuthorsGonzález García, M.ª Concepción; Maltoni, Michèle; Rojo, Joan
KeywordsAtmospheric neutrino fluxes
Flavour oscillation hypothesis
Neutrino event rates
Experimental data
Artificial neural networks
Monte Carlo methods
Issue Date6-Jun-2007
PublisherInstitute of Physics Publishing
CitationJournal of Physics A - Mathematical and Theoretical 40(25): 7093-7097 (2007)
AbstractPrecise knowledge of the atmospheric neutrino fluxes is a key ingredient in the interpretation of the results from any atmospheric neutrino experiment. In the standard atmospheric neutrino data analysis, these fluxes are theoretical inputs obtained from sophisticated numerical calculations. In this contribution, we present an alternative approach to the determination of the atmospheric neutrino fluxes based on the direct extraction from the experimental data on neutrino event rates. The extraction is achieved by means of a combination of artificial neural networks as interpolants and Monte Carlo methods.
Description5 pages, 2 figures.-- PACS nrs.: 14.16.Lm, 15.60.Pq.-- ISI Article Identifier: 000247074600068.-- ArXiv pre-print available at: http://arxiv.org/abs/hep-ph/0608319
Printed version published on Jun 22, 2007.
Also published in: Proceedings of the 2nd International Conference on Quantum Theories and Renormalization Group in Gravity and Cosmology, Barcelona, July 2006.
Publisher version (URL)http://dx.doi.org/10.1088/1751-8113/40/25/S67
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