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Inference of the Local Interstellar Spectra of Cosmic Ray Nuclei Z<=28 with the GalProp-HelMod Framework

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arxiv 2006.01337 v3 pith:O6XWVYDT submitted 2020-06-02 astro-ph.HE

classification astro-ph.HE
keywords nucleiams-02dataspectrameasurementsheao-3-c2localantiprotons
verification ladder T0 review T1 audit T2 compute T3 formal
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Composition and spectra of Galactic cosmic rays (CRs) are vital for studies of high-energy processes in a variety of environments and on different scales, for interpretation of gamma-ray and microwave observations, disentangling possible signatures of new phenomena, and for understanding of our local Galactic neighborhood. Since its launch, AMS-02 has delivered outstanding quality measurements of the spectra of antiprotons, electrons, positrons, and nuclei: H-O, Ne, Mg, Si. These measurements resulted in a number of breakthroughs, however, spectra of heavier nuclei and especially low-abundance nuclei are not expected until later in the mission. Meanwhile, a comparison of published AMS-02 results with earlier data from HEAO-3-C2 indicate that HEAO-3-C2 data may be affected by undocumented systematic errors. Utilizing such data to compensate for the lack of AMS-02 measurements could result in significant errors. In this paper we show that a fraction of HEAO-3-C2 data match available AMS-02 measurements quite well and can be used together with Voyager 1 and ACE-CRIS data to make predictions for the local interstellar spectra (LIS) of nuclei that are not yet released by AMS-02. We are also updating our already published LIS to provide a complete set from H-Ni in the energy range from 1 MeV/nucleon to ~100-500 TeV/nucleon thus covering 8-9 orders of magnitude in energy. Our calculations employ the GalProp-HelMod framework that is proved to be a reliable tool in deriving the LIS of CR antiprotons, electrons, and nuclei H-O.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. GCR Spectra Reconstructed with Neutron Monitor Yield Function and Artificial Neural Networks: Comparison of Two Methods

    astro-ph.IM 2026-07 conditional novelty 5.0 of 10

    Neural networks trained on worldwide neutron-monitor counts plus solar indices reconstruct daily proton and helium cosmic-ray spectra for 2006–2022, matching PAMELA and AMS-02 data and beating a yield-function/force-f...

  2. Diffuse gamma-ray and neutrino emission from the Milky Way and the local knee in the cosmic ray spectrum

    astro-ph.HE 2025-07 conditional novelty 5.0 of 10

    Diffuse gamma-ray predictions from locally measured cosmic rays exceed LHAASO observations above 100 TeV, suggesting the PeV cosmic-ray knee originates from a local bubble roughly 0.7 to 1.5 kpc across.

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