TY - JOUR
T1 - Monte Carlo simulations of neutrino and charged lepton propagation in the Earth with nuPyProp
AU - the NuSpaceSim Collaboration
AU - Patel, Sameer
AU - Reno, Mary Hall
AU - Akaike, Yosui
AU - Anchordoqui, Luis
AU - Bergman, Douglas
AU - Buckland, Isaac
AU - Cummings, Austin
AU - Eser, Johannes
AU - Guépin, Claire
AU - Krizmanic, John F.
AU - Mackovjak, Simon
AU - Olinto, Angela
AU - Paul, Thomas
AU - Patel, Sameer
AU - Reustle, Alex
AU - Romero-Wolf, Andrew
AU - Reno, Mary Hall
AU - Sarazin, Fred
AU - Venters, Tonia
AU - Wiencke, Lawrence
AU - Wissel, Stephanie
N1 - Funding Information:
This work is supported by NASA grants 80NSSC19K0626 at the University of Maryland, Baltimore County, 80NSSC19K0460 at the Colorado School of Mines, 80NSSC19K0484 at the University of Iowa, and 80NSSC19K0485 at the University of Utah, 80NSSC18K0464 at Lehman College, and under proposal 17-APRA17-0066 at NASA/GSFC and JPL.
Publisher Copyright:
© Copyright owned by the author(s).
PY - 2022/3/18
Y1 - 2022/3/18
N2 - An accurate modeling of neutrino flux attenuation and the distribution of leptons they produce in transit through the Earth is an essential component to determine neutrino flux sensitivities of underground, sub-orbital and space-based detectors. Through neutrino oscillations over cosmic distances, astrophysical neutrino sources are expected to produce nearly equal fluxes of electron, muon and tau neutrinos. Of particular interest are tau neutrinos that interact in the Earth at modest slant depths to produce τ-leptons. Some τ-leptons emerge from the Earth and decay in the atmosphere to produce extensive air showers. Future balloon-borne and satellite-based optical Cherenkov neutrino telescopes will be sensitive to upward air showers from tau neutrino induced τ-lepton decays. We present nuPyProp, a python code that is part of the nuSpaceSim package. nuPyProp generates look-up tables for exit probabilities and energy distributions for ντ → τ and νμ → μ propagation in the Earth. This flexible code runs with either stochastic or continuous electromagnetic energy losses for the lepton transit through the Earth. Current neutrino cross section models and energy loss models are included along with templates for user input of other models. Results from nuPyProp are compared with other recent simulation packages for neutrino and charged lepton propagation. Sources of modeling uncertainties are described and quantified.
AB - An accurate modeling of neutrino flux attenuation and the distribution of leptons they produce in transit through the Earth is an essential component to determine neutrino flux sensitivities of underground, sub-orbital and space-based detectors. Through neutrino oscillations over cosmic distances, astrophysical neutrino sources are expected to produce nearly equal fluxes of electron, muon and tau neutrinos. Of particular interest are tau neutrinos that interact in the Earth at modest slant depths to produce τ-leptons. Some τ-leptons emerge from the Earth and decay in the atmosphere to produce extensive air showers. Future balloon-borne and satellite-based optical Cherenkov neutrino telescopes will be sensitive to upward air showers from tau neutrino induced τ-lepton decays. We present nuPyProp, a python code that is part of the nuSpaceSim package. nuPyProp generates look-up tables for exit probabilities and energy distributions for ντ → τ and νμ → μ propagation in the Earth. This flexible code runs with either stochastic or continuous electromagnetic energy losses for the lepton transit through the Earth. Current neutrino cross section models and energy loss models are included along with templates for user input of other models. Results from nuPyProp are compared with other recent simulation packages for neutrino and charged lepton propagation. Sources of modeling uncertainties are described and quantified.
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M3 - Conference article
AN - SCOPUS:85144592716
SN - 1824-8039
VL - 395
JO - Proceedings of Science
JF - Proceedings of Science
M1 - 1203
T2 - 37th International Cosmic Ray Conference, ICRC 2021
Y2 - 12 July 2021 through 23 July 2021
ER -