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Prescriptions on antiproton cross section data for precise theoretical antiproton flux predictions

High Energy Astrophysical Phenomena 2018-06-05 v2 High Energy Physics - Experiment High Energy Physics - Phenomenology

Abstract

After the breakthrough from the satellite-borne PAMELA detector, the flux of cosmic-ray (CR) antiprotons has been provided with unprecedented accuracy by AMS-02 on the International Space Station. Its data spans an energy range from below 1 GeV up to 400 GeV and most of the data points contain errors below the amazing level of 5%. The bulk of the antiproton flux is expected to be produced by the scatterings of CR protons and helium off interstellar hydrogen and helium atoms at rest. The modeling of these interactions, which requires the relevant production cross sections, induces an uncertainty in the determination of the antiproton source term that can even exceed the uncertainties in the CR pˉ\bar{p} data itself. The aim of the present analysis is to determine the uncertainty required for p+ppˉ+Xp+p\rightarrow \bar{p} + X cross section measurements such that the induced uncertainties on the pˉ\bar{p} flux are at the same level. Our results are discussed both in the center-of-mass reference frame, suitable for collider experiments, and in the laboratory frame, as occurring in the Galaxy. We find that cross section data should be collected with accuracy better that few percent with proton beams from 10 GeV to 6 TeV and a pseudorapidity η\eta ranging from 2 to almost 8 or, alternatively, with pTp_T from 0.04 to 2 GeV and xRx_R from 0.02 to 0.7. Similar considerations hold for the ppHe production channel. The present collection of data is far from these requirements. Nevertheless, they could, in principle, be reached by fixed target experiments with beam energies in the reach of CERN accelerators.

Keywords

Cite

@article{arxiv.1704.03663,
  title  = {Prescriptions on antiproton cross section data for precise theoretical antiproton flux predictions},
  author = {Fiorenza Donato and Michael Korsmeier and Mattia Di Mauro},
  journal= {arXiv preprint arXiv:1704.03663},
  year   = {2018}
}

Comments

15 pages, 13 figures, matches published version