Mapping extragalactic dark matter annihilation with galaxy surveys: A systematic study of stacked group searches

Lisanti, Mariangela; Mishra-Sharma, Siddharth; Rodd, Nicholas L.; Safdi, Benjamin R.; Wechsler, Risa H.

doi:10.1103/physrevd.97.063005

Title: Mapping extragalactic dark matter annihilation with galaxy surveys: A systematic study of stacked group searches

Journal Article · Fri Mar 09 00:00:00 EST 2018 · Physical Review. D.

DOI:https://doi.org/10.1103/physrevd.97.063005· OSTI ID:1437174

Lisanti, Mariangela ^[1]; Mishra-Sharma, Siddharth ^[1]; Rodd, Nicholas L. ^[2]; Safdi, Benjamin R. ^[3]; Wechsler, Risa H. ^[4]

Princeton Univ., Princeton, NJ (United States)
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Univ. of Michigan, Ann Arbor, MI (United States)
Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)

Dark matter in the halos surrounding galaxy groups and clusters can annihilate to high-energy photons. Recent advancements in the construction of galaxy group catalogs provide many thousands of potential extragalactic targets for dark matter. In this paper, we outline a procedure to infer the dark matter signal associated with a given galaxy group. Applying this procedure to a catalog of sources, one can create a full-sky map of the brightest extragalactic dark matter targets in the nearby Universe (z≲0.03), supplementing sources of dark matter annihilation from within the Local Group. As with searches for dark matter in dwarf galaxies, these extragalactic targets can be stacked together to enhance the signals associated with dark matter. We validate this procedure on mock Fermi gamma-ray data sets using a galaxy catalog constructed from the DarkSky N-body cosmological simulation and demonstrate that the limits are robust, at O(1) levels, to systematic uncertainties on halo mass and concentration. We also quantify other sources of systematic uncertainty arising from the analysis and modeling assumptions. Our results suggest that a stacking analysis using galaxy group catalogs provides a powerful opportunity to discover extragalactic dark matter and complements existing studies of Milky Way dwarf galaxies.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Princeton Univ., NJ (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: SC0007968; SC00012567; SC0013999; AC02-76SF00515; PHY-1607611

OSTI ID:: 1437174

Alternate ID(s):: OSTI ID: 1425246; OSTI ID: 1600953

Journal Information:: Physical Review. D., Vol. 97, Issue 6; ISSN 2470-0010

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 29 works

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