Determination of the Atmospheric Neutrino Fluxes from Atmospheric Neutrino Data

M. C. Gonzalez-Garcia, M. Maltoni, J. Rojo

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The precise 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 based on the convolution of the primary cosmic ray spectrum with the expected yield of neutrinos per incident cosmic ray. In this work 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 for faithful error estimation
Original languageEnglish
JournalJournal of High Energy Physics
Volume2006
DOIs
Publication statusPublished - 28 Jul 2006

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neutrinos
primary cosmic rays
convolution integrals
ingredients
Monte Carlo method
cosmic rays

Bibliographical note

31 pages, 12 figures. Version to appear in JHEP

Keywords

  • hep-ph

Cite this

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abstract = "The precise 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 based on the convolution of the primary cosmic ray spectrum with the expected yield of neutrinos per incident cosmic ray. In this work 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 for faithful error estimation",
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Determination of the Atmospheric Neutrino Fluxes from Atmospheric Neutrino Data. / Gonzalez-Garcia, M. C.; Maltoni, M.; Rojo, J.

In: Journal of High Energy Physics, Vol. 2006, 28.07.2006.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - Determination of the Atmospheric Neutrino Fluxes from Atmospheric Neutrino Data

AU - Gonzalez-Garcia, M. C.

AU - Maltoni, M.

AU - Rojo, J.

N1 - 31 pages, 12 figures. Version to appear in JHEP

PY - 2006/7/28

Y1 - 2006/7/28

N2 - The precise 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 based on the convolution of the primary cosmic ray spectrum with the expected yield of neutrinos per incident cosmic ray. In this work 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 for faithful error estimation

AB - The precise 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 based on the convolution of the primary cosmic ray spectrum with the expected yield of neutrinos per incident cosmic ray. In this work 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 for faithful error estimation

KW - hep-ph

U2 - 10.1088/1126-6708/2006/10/075

DO - 10.1088/1126-6708/2006/10/075

M3 - Article

VL - 2006

JO - Journal of High Energy Physics

JF - Journal of High Energy Physics

SN - 1126-6708

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