Atmospheric neutrino flux calculation using the NRLMSISE-00 atmospheric model

By M. Honda, M. Athar, T. Kajita, K. Kasahara, S. Midorikawa. 2015

282 citations recorded by the source corpus.

In this paper, we extend the calculation of the atmospheric neutrino flux~\cite{hkkm2004,hkkms2006,hkkm2011} to the sites in polar and tropical regions. In our earliest full 3D-calculation~\cite{hkkm2004}, we used DPMJET-III~\cite{dpm} for the hadronic interaction model above 5~GeV, and NUCRIN~\cite{nucrin} below 5~GeV. We modified DPMJET-III as in Ref.~\cite{hkkms2006} to reproduce the experimental muon spectra better, mainly using the data observed by BESS group~\cite{BESSTeVpHemu}. In a recent work~\cite{hkkm2011}, we introduced JAM interaction model for the low energy hadronic interactions. JAM is a nuclear interaction model developed with PHITS (Particle and Heavy-Ion Transport code System)~\cite{phits}. In Ref.~\cite{hkkm2011}, we could reproduce the observed muon flux at the low energies at balloon altitude with DPMJET-III above 32 GeV and JAM below that better than the combination of DPMJET-III above 5~GeV and NUCRIN below that. Besides the interaction model, we have also improved the calculation scheme according to the increase of available computational power, such as the "virtual detector correction" introduced in Ref.~\cite{hkkms2006} and the optimization of it in Ref.~\cite{hkkm2011}. The statistics of the Monte Carlo simulation is also improved at every step of the work.

Subfields: Astronomy and Astrophysics, Atmospheric Science, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/857f9f37f3b000285a53e2237e0acbf8cf675057

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. F. Krennrich
2. Joachim Kopp
3. Matthew Mewes
4. M. Tórtola
5. J. Beacom
6. I. Mocioiu
7. S. Antusch
8. P. Machado

In Atmospheric Science

1. Robert J. Wilson
2. M. Maltoni
3. T. Schwetz
4. O. Mena
5. Z. Xing

In Nuclear and High Energy Physics

1. M. Tórtola
2. Y. Farzan
3. M. Maltoni
4. T. Schwetz
5. Z. Xing
6. M. Gonzalez-Garcia
7. A. Studenikin
8. Jordi Salvado

Citations in the corpus

• JUNO physics and detector (2021, background): “The HKKM14 [105] model predictions are also reported, both at the source and including oscillation effects.”
• The fate of hints: updated global analysis of three-flavor neutrino oscillations (2020, unknown): “• External information: Atmospheric neutrino fluxes [47].”
• Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics (2020, methodology): “For definiteness, we adopt atmospheric neutrino fluxes [247], evaluated using the NRLMSISE-00 global atmospheric model [248], that result from a production event at an altitude of 20 km.”
• Updated constraints on non-standard interactions from global analysis of oscillation data (2018, background): “[56].”
• Updated global analysis of neutrino oscillations in the presence of eV-scale sterile neutrinos (2018, methodology): “For the production height of the neutrinos we interpolate linearly between 28 km for horizontal neutrinos and 18 km for vertical neutrinos [51].”
• KM3MeT 2.0 Letter of intent for ARCA and ORCA (2016, methodology): “The atmospheric neutrino fluxes are modelled by the HKKM2014 simulations [176].”
• Letter of intent for KM3NeT 2.0 (2016, methodology): “The atmospheric neutrino fluxes are modelled by the HKKM2014 simulations [176].”
• Global analysis of three-flavour neutrino oscillations: synergies and tensions in the determination of θ23, δCP, and the mass ordering (2018, background): “• External information : Atmospheric neutrino fluxes [69].”