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Quantifying the evidence for Dark Matter in CoGeNT data

Davis, Jonathan H.; McCabe, Christopher; Boehm, Celine

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Authors

Jonathan H. Davis

Christopher McCabe

Celine Boehm



Abstract

We perform an independent analysis of data from the CoGeNT direct detection experiment to quantify the evidence for dark matter recoils. We critically re-examine the assumptions that enter the analysis, focusing specifically on the separation of bulk and surface events, the latter of which constitute a large background. This separation is performed using the event rise-time, with the surface events being slower on average. We fit the rise-time distributions for the bulk and surface events with a log-normal and Pareto distribution (which gives a better fit to the tail in the bulk population at high rise-times) and account for the energy-dependence of the bulk fraction using a cubic spline. Using Bayesian and frequentist techniques and additionally investigating the effect of varying the rise-time cut, the bulk background spectrum and bin-sizes, we conclude that the CoGeNT data show a preference for light dark matter recoils at less than 1σ.

Citation

Davis, J. H., McCabe, C., & Boehm, C. (2014). Quantifying the evidence for Dark Matter in CoGeNT data. Journal of Cosmology and Astroparticle Physics, 2014(08), Article 014. https://doi.org/10.1088/1475-7516/2014/08/014

Journal Article Type Article
Acceptance Date Jul 15, 2014
Online Publication Date Aug 6, 2014
Publication Date Aug 6, 2014
Deposit Date Feb 3, 2016
Publicly Available Date Jun 6, 2018
Journal Journal of Cosmology and Astroparticle Physics
Electronic ISSN 1475-7516
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 2014
Issue 08
Article Number 014
DOI https://doi.org/10.1088/1475-7516/2014/08/014
Public URL https://durham-repository.worktribe.com/output/1420805

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Published Journal Article (1.6 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Article funded by SCOAP. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 License. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.






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