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Dark matter inverse problem: Extracting particle physics from scattering events

McDermott, Samuel D. and Yu, Hai-Bo and Zurek, Kathryn M. (2012) Dark matter inverse problem: Extracting particle physics from scattering events. Physical Review D, 85 (12). Art. No. 123507. ISSN 1550-7998. doi:10.1103/physrevd.85.123507. https://resolver.caltech.edu/CaltechAUTHORS:20190613-110922508

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Abstract

The primary observable in dark matter direct detection is the spectrum of scattering events. We simulate multiple positive direct detection signals (on germanium, xenon, and argon targets) to explore the extent to which the underlying particle physics, manifested in the momentum dependence of the operator mediating the scattering, can be extracted. Taking into account realization (Poisson) noise, a single target nucleus with 300 events has limited power to discriminate operators with momentum dependence differing by q^(±2) for a wide range of dark matter masses from 10 GeV to 1 TeV. With the inclusion of multiple targets (or a factor of several more events on a single target), the discrimination of operators with different momentum dependence becomes very strong at the 95% confidence level for dark matter candidates of mass 50 GeV and above. On the other hand, operator discrimination remains poor for 10 GeV candidates until multiple experiments each collect 1000 or more events.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/physrevd.85.123507DOIArticle
https://arxiv.org/abs/1110.4281arXivDiscussion Paper
Additional Information:© 2012 American Physical Society. (Received 2 November 2011; published 4 June 2012) We thank Tim Cohen for discussions. The work of S. D. M. and K. M. Z. was supported by NSF CAREER PHY 1049896, and the work of H. B. Y. and K. M. Z. was supported by NASA Astrophysics Theory Program Grant No. NNX11AI17G.
Funders:
Funding AgencyGrant Number
NSFPHY-1049896
NASANNX11AI17G
Issue or Number:12
Classification Code:PACS numbers: 95.35.+d
DOI:10.1103/physrevd.85.123507
Record Number:CaltechAUTHORS:20190613-110922508
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190613-110922508
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96386
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:14 Jun 2019 22:16
Last Modified:16 Nov 2021 17:20

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