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Title: Effect of hydrodynamical-simulation–inspired dark matter velocity profile on directional detection of dark matter

Abstract

Directional detection is an important way to detect dark matter. An input for these experiments is the dark matter velocity distribution. Recent hydrodynamical simulations have shown that the dark matter velocity distribution differs substantially from the Standard Halo Model. We study the impact of some of these updated velocity distributions in dark matter directional detection experiments. Here, we calculate the ratio of events required to confirm the forward-backward asymmetry and the existence of the ring of maximum recoil rate using different dark matter velocity distributions for 19F and Xe targets. We show that with the use of updated dark matter velocity profiles, the forward-backward asymmetry and the ring of maximum recoil rate can be confirmed using a factor of ~ 2– 3 less events when compared to that using the Standard Halo Model.

Authors:
 [1]
  1. Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology (KIPAC), Dept. of Physics; SLAC National Accelerator Lab., Menlo Park, CA (United States)
Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1424718
Alternate Identifier(s):
OSTI ID: 1419907
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review. D.
Additional Journal Information:
Journal Volume: 97; Journal Issue: 4; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; Dark Matter; Particle Astrophysics

Citation Formats

Laha, Ranjan. Effect of hydrodynamical-simulation–inspired dark matter velocity profile on directional detection of dark matter. United States: N. p., 2018. Web. doi:10.1103/physrevd.97.043004.
Laha, Ranjan. Effect of hydrodynamical-simulation–inspired dark matter velocity profile on directional detection of dark matter. United States. https://doi.org/10.1103/physrevd.97.043004
Laha, Ranjan. Thu . "Effect of hydrodynamical-simulation–inspired dark matter velocity profile on directional detection of dark matter". United States. https://doi.org/10.1103/physrevd.97.043004. https://www.osti.gov/servlets/purl/1424718.
@article{osti_1424718,
title = {Effect of hydrodynamical-simulation–inspired dark matter velocity profile on directional detection of dark matter},
author = {Laha, Ranjan},
abstractNote = {Directional detection is an important way to detect dark matter. An input for these experiments is the dark matter velocity distribution. Recent hydrodynamical simulations have shown that the dark matter velocity distribution differs substantially from the Standard Halo Model. We study the impact of some of these updated velocity distributions in dark matter directional detection experiments. Here, we calculate the ratio of events required to confirm the forward-backward asymmetry and the existence of the ring of maximum recoil rate using different dark matter velocity distributions for 19F and Xe targets. We show that with the use of updated dark matter velocity profiles, the forward-backward asymmetry and the ring of maximum recoil rate can be confirmed using a factor of ~ 2– 3 less events when compared to that using the Standard Halo Model.},
doi = {10.1103/physrevd.97.043004},
journal = {Physical Review. D.},
number = 4,
volume = 97,
place = {United States},
year = {Thu Feb 01 00:00:00 EST 2018},
month = {Thu Feb 01 00:00:00 EST 2018}
}

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Free Publicly Available Full Text
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Cited by: 5 works
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Figures / Tables:

FIG. 1 FIG. 1: The MilkyWay dark matter velocity profiles considered in this work. The Standard Halo Model is labeled as SHM. The standard Maxwellian velocity distribution (2) fits to halos E9 and E11 are labeled as Maxwellian VDF. The Mao et al. velocity distribution (4) fits to halos E9 and E11more » are labeled as Cosmological VDF.« less

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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.