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Title: Dark matter in 3D

Abstract

We discuss the relevance of directional detection experiments in the post-discovery era and propose a method to extract the local dark matter phase space distribution from directional data. The first feature of this method is a parameterization of the dark matter distribution function in terms of integrals of motion, which can be analytically extended to infer properties of the global distribution if certain equilibrium conditions hold. The second feature of our method is a decomposition of the distribution function in moments of a model independent basis, with minimal reliance on the ansatz for its functional form. We illustrate our method using the Via Lactea II N-body simulation as well as an analytical model for the dark matter halo. Furthermore, we conclude that O(1000) events are necessary to measure deviations from the Standard Halo Model and constrain or measure the presence of anisotropies.

Authors:
 [1];  [2];  [2]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  2. SLAC National Accelerator Lab., Menlo Park, CA (United States); Stanford Univ., Stanford, CA (United States)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1244259
Grant/Contract Number:
AC02-76SF00515
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of High Energy Physics (Online)
Additional Journal Information:
Journal Name: Journal of High Energy Physics (Online); Journal Volume: 2016; Journal Issue: 3; Journal ID: ISSN 1029-8479
Publisher:
Springer Berlin
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; dark matter; beyond standard model; dark matter and double beta decay

Citation Formats

Alves, Daniele S. M., El Hedri, Sonia, and Wacker, Jay G.. Dark matter in 3D. United States: N. p., 2016. Web. doi:10.1007/JHEP03(2016)149.
Alves, Daniele S. M., El Hedri, Sonia, & Wacker, Jay G.. Dark matter in 3D. United States. doi:10.1007/JHEP03(2016)149.
Alves, Daniele S. M., El Hedri, Sonia, and Wacker, Jay G.. 2016. "Dark matter in 3D". United States. doi:10.1007/JHEP03(2016)149. https://www.osti.gov/servlets/purl/1244259.
@article{osti_1244259,
title = {Dark matter in 3D},
author = {Alves, Daniele S. M. and El Hedri, Sonia and Wacker, Jay G.},
abstractNote = {We discuss the relevance of directional detection experiments in the post-discovery era and propose a method to extract the local dark matter phase space distribution from directional data. The first feature of this method is a parameterization of the dark matter distribution function in terms of integrals of motion, which can be analytically extended to infer properties of the global distribution if certain equilibrium conditions hold. The second feature of our method is a decomposition of the distribution function in moments of a model independent basis, with minimal reliance on the ansatz for its functional form. We illustrate our method using the Via Lactea II N-body simulation as well as an analytical model for the dark matter halo. Furthermore, we conclude that O(1000) events are necessary to measure deviations from the Standard Halo Model and constrain or measure the presence of anisotropies.},
doi = {10.1007/JHEP03(2016)149},
journal = {Journal of High Energy Physics (Online)},
number = 3,
volume = 2016,
place = {United States},
year = 2016,
month = 3
}

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