Wanted! Nuclear data for dark matter astrophysics

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Publication Type pre-print
School or College College of Science
Department Physics
Creator Gondolo, Paolo
Title Wanted! Nuclear data for dark matter astrophysics
Date 2014-01-01
Description Astronomical observations from small galaxies to the largest scales in the universe can be consistently explained by the simple idea of dark matter. The nature of dark matter is however still unknown. Empirically it cannot be any of the known particles, and many theories postulate it as a new elementary particle. Searches for dark matter particles are under way: production at high-energy accelerators, direct detection through dark matter-nucleus scattering, indirect detection through cosmic rays, gamma rays, or effects on stars. Particle dark matter searches rely on observing an excess of events above background, and a lot of controversies have arisen over the origin of observed excesses. With the new high-quality cosmic ray measurements from the AMS-02 experiment, the major uncertainty in modeling cosmic ray fluxes is in the nuclear physics cross sections for spallation and fragmentation of cosmic rays o interstellar hydrogen and helium. The understanding of direct detection backgrounds is limited by poor knowledge of cosmic ray activation in detector materials, with order of magnitude differences between simulation codes. A scarcity of data on nucleon spin densities blurs the connection between dark matter theory and experiments. What is needed, ideally, are more and better measurements of spallation cross sections relevant to cosmic rays and cosmogenic activation, and data on the nucleon spin densities in nuclei.
Type Text
Publisher Elsevier
Volume 120
First Page 175
Last Page 179
Language eng
Bibliographic Citation Gondolo, P. (2014). Wanted! Nuclear data for dark matter astrophysics. Nuclear Data Sheets, 120, 175-9.
Rights Management (c) Elsevier ; Authors manuscript from Gondolo, P. (2014). Wanted! Nuclear data for dark matter astrophysics. Nuclear Data Sheets, 120, 175-9. http://dx.doi.org/10.1016/j.nds.2014.07.039
Format Medium application/pdf
Format Extent 644,019 bytes
Identifier uspace,18870
ARK ark:/87278/s6v15dw4
Setname ir_uspace
ID 712666
Reference URL https://collections.lib.utah.edu/ark:/87278/s6v15dw4
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