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Title: Doppler effect on indirect detection of dark matter using dark matter only simulations

Abstract

Indirect detection of dark matter is a major avenue for discovery. However, baryonic backgrounds are diverse enough to mimic many possible signatures of dark matter. In this work, we study the newly proposed technique of dark matter velocity spectroscopy. The nonrotating dark matter halo and the Solar motion produce a distinct longitudinal dependence of the signal which is opposite in direction to that produced by baryons. Using collisionless dark matter only simulations of Milky Way like halos, we show that this new signature is robust and holds great promise. We develop mock observations by a high energy resolution x-ray spectrometer on a sounding rocket, the Micro-X experiment, to our test case, the 3.5 keV line. We show that by using six different pointings, Micro-X can exclude a constant line energy over various longitudes at ≥ 3σ. As a result, the halo triaxiality is an important effect, and it will typically reduce the significance of this signal. We emphasize that this new smoking gun in motion signature of dark matter is general and is applicable to any dark matter candidate which produces a sharp photon feature in annihilation or decay.

Authors:
 [1];  [1];  [2];  [1]
  1. Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  2. Weizmann Institute of Science, Rehovot (Israel)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1369469
Alternate Identifier(s):
OSTI ID: 1347818
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review D
Additional Journal Information:
Journal Volume: 95; 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

Powell, Devon, Laha, Ranjan, Ng, Kenny C. Y., and Abel, Tom. Doppler effect on indirect detection of dark matter using dark matter only simulations. United States: N. p., 2017. Web. doi:10.1103/PhysRevD.95.063012.
Powell, Devon, Laha, Ranjan, Ng, Kenny C. Y., & Abel, Tom. Doppler effect on indirect detection of dark matter using dark matter only simulations. United States. doi:10.1103/PhysRevD.95.063012.
Powell, Devon, Laha, Ranjan, Ng, Kenny C. Y., and Abel, Tom. Wed . "Doppler effect on indirect detection of dark matter using dark matter only simulations". United States. doi:10.1103/PhysRevD.95.063012. https://www.osti.gov/servlets/purl/1369469.
@article{osti_1369469,
title = {Doppler effect on indirect detection of dark matter using dark matter only simulations},
author = {Powell, Devon and Laha, Ranjan and Ng, Kenny C. Y. and Abel, Tom},
abstractNote = {Indirect detection of dark matter is a major avenue for discovery. However, baryonic backgrounds are diverse enough to mimic many possible signatures of dark matter. In this work, we study the newly proposed technique of dark matter velocity spectroscopy. The nonrotating dark matter halo and the Solar motion produce a distinct longitudinal dependence of the signal which is opposite in direction to that produced by baryons. Using collisionless dark matter only simulations of Milky Way like halos, we show that this new signature is robust and holds great promise. We develop mock observations by a high energy resolution x-ray spectrometer on a sounding rocket, the Micro-X experiment, to our test case, the 3.5 keV line. We show that by using six different pointings, Micro-X can exclude a constant line energy over various longitudes at ≥ 3σ. As a result, the halo triaxiality is an important effect, and it will typically reduce the significance of this signal. We emphasize that this new smoking gun in motion signature of dark matter is general and is applicable to any dark matter candidate which produces a sharp photon feature in annihilation or decay.},
doi = {10.1103/PhysRevD.95.063012},
journal = {Physical Review D},
number = 6,
volume = 95,
place = {United States},
year = {2017},
month = {3}
}

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