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

Abstract

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. Lastly, 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.

Authors:
 [1];  [1];  [2];  [3];  [4]
  1. Princeton Univ., Princeton, NJ (United States)
  2. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  3. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Univ. of Michigan, Ann Arbor, MI (United States)
  4. Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1437174
Alternate Identifier(s):
OSTI ID: 1425246
Grant/Contract Number:  
SC0007968; SC00012567; SC0013999; AC02-76SF00515; PHY-1607611
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review D
Additional Journal Information:
Journal Volume: 97; Journal Issue: 6; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Lisanti, Mariangela, Mishra-Sharma, Siddharth, Rodd, Nicholas L., Safdi, Benjamin R., and Wechsler, Risa H. Mapping extragalactic dark matter annihilation with galaxy surveys: A systematic study of stacked group searches. United States: N. p., 2018. Web. doi:10.1103/physrevd.97.063005.
Lisanti, Mariangela, Mishra-Sharma, Siddharth, Rodd, Nicholas L., Safdi, Benjamin R., & Wechsler, Risa H. Mapping extragalactic dark matter annihilation with galaxy surveys: A systematic study of stacked group searches. United States. doi:10.1103/physrevd.97.063005.
Lisanti, Mariangela, Mishra-Sharma, Siddharth, Rodd, Nicholas L., Safdi, Benjamin R., and Wechsler, Risa H. Fri . "Mapping extragalactic dark matter annihilation with galaxy surveys: A systematic study of stacked group searches". United States. doi:10.1103/physrevd.97.063005. https://www.osti.gov/servlets/purl/1437174.
@article{osti_1437174,
title = {Mapping extragalactic dark matter annihilation with galaxy surveys: A systematic study of stacked group searches},
author = {Lisanti, Mariangela and Mishra-Sharma, Siddharth and Rodd, Nicholas L. and Safdi, Benjamin R. and Wechsler, Risa H.},
abstractNote = {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. Lastly, 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.},
doi = {10.1103/physrevd.97.063005},
journal = {Physical Review D},
number = 6,
volume = 97,
place = {United States},
year = {2018},
month = {3}
}

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Cited by: 8 works
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Figures / Tables:

Figure 1 Figure 1: A schematic illustration of the analysis procedure as applied to DarkSky. We begin with a sky map of galaxy counts (center left). The DarkSky group catalog categorizes the galaxies into groups, which likely share a common DM halo. From the DarkSky group catalog, we build a map ofmore » the J-factors for the host halos, as shown in the top right. In reality, the properties of the halos surrounding each group of galaxies must be inferred from its total luminosity. For a given DM model (here, a 100 GeV particle annihilating to bb̄ with cross section 〈σv〉 ≈ 10−24 cm3s−1) and detector energy range (here, ∼ 0.9−1.4 GeV) the DM annihilation flux can be obtained (bottom right). Going from the map of J-factors to that of DM counts also requires knowledge of the Fermi exposure. Note that the full sky map has been subjected to 2 Gaussian smoothing.« less

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