Lines and boxes: Unmasking Dynamical Dark Matter through correlations in the MeV gamma-ray spectrum
AffiliationUniv Arizona, Dept Phys
MetadataShow full item record
PublisherAMER PHYSICAL SOC
CitationLines and boxes: Unmasking Dynamical Dark Matter through correlations in the MeV gamma-ray spectrum 2016, 94 (9) Physical Review D
JournalPhysical Review D
Rights© 2016 American Physical Society
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractIdentifying signatures of dark matter at indirect-detection experiments is generally more challenging for scenarios involving nonminimal dark sectors such as Dynamical Dark Matter (DDM) than for scenarios involving a single dark particle. This additional difficulty arises because the partitioning of the total dark-matter abundance across an ensemble of different constituent particles with different masses tends to "smear" the injection spectra of photons and other cosmic-ray particles that are produced via dark-matter annihilation or decay. As a result, the imprints of the dark sector on these cosmic-ray flux spectra typically take the form of continuum features rather than sharp peaks or lines. In this paper, however, we identify an unambiguous signature of nonminimal dark sectors such as DDM which can overcome these issues and potentially be observed at gamma-ray telescopes operating in the MeV range. We discuss the specific situations in which this signature can arise, and demonstrate that this signature can be exploited in order to significantly enhance our ability to resolve the unique spectral features of DDM and other nonminimal dark sectors at future gamma-ray facilities.
VersionFinal published version
SponsorsCETUP*; National Science Foundation [PHY-1250573]; Department of Energy [DE-FG02-13ER41976]; National Science Foundation; U.S. Department of Energy [DE-SC0010296]; Basic Science Research Program through the National Research Foundation of Korea - Ministry of Education [NRF-2013R1A1A2061561]; Reed College