Maximum-likelihood approach for signal estimation in direct detection experiments for Dark Matter

Vuk Mandic; Bernard Sadoulet; Richard W. Schnee

doi:10.1016/j.nima.2005.07.018

Maximum-likelihood approach for signal estimation in direct detection experiments for Dark Matter

Vuk Mandic, Bernard Sadoulet, Richard W. Schnee

Research output: Contribution to journal › Article › peer-review

Abstract

We develop a maximum-likelihood method for estimating the signal in direct Dark Matter detection experiments which rely on one or more parameters for discriminating against background. We demonstrate that the method performs better than the traditional "cut" approach, at least in the limit of large number of events. We apply the method to the CDMS II data acquired at the shallow underground site, and we show that the method could improve the sensitivity of the experiment by 15-20%, as compared to the sensitivity relying on the cut in the discriminating parameter.

Original language	English (US)
Pages (from-to)	459-469
Number of pages	11
Journal	Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume	553
Issue number	3
DOIs	https://doi.org/10.1016/j.nima.2005.07.018
State	Published - Nov 21 2005
Externally published	Yes

Bibliographical note

Funding Information:
We thank the members of the CDMS collaboration whose contribution to the experiment made this study possible. This work is supported by the National Science Foundation under Grant No. PHY-9722414, by the Department of Energy under contracts DE-AC03-76SF00098, DE-FG03-90ER40569, DE-FG03-91ER40618, and by Fermilab, operated by the Universities Research Association, Inc., under Contract No. DE-AC02-76CH03000 with the Department of Energy.

Keywords

Dark matter
Maximum-likelihood
Signal estimate

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10.1016/j.nima.2005.07.018

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Maximum-likelihood approach for signal estimation in direct detection experiments for Dark Matter. / Mandic, Vuk; Sadoulet, Bernard; Schnee, Richard W.
In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 553, No. 3, 21.11.2005, p. 459-469.

Research output: Contribution to journal › Article › peer-review

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AU - Sadoulet, Bernard

AU - Schnee, Richard W.

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Maximum-likelihood approach for signal estimation in direct detection experiments for Dark Matter

Abstract

Bibliographical note

Keywords

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