Likelihood approach to the first dark matter results from XENON100

被引：113

作者：

Aprile, E. ^{[1
]}

Arisaka, K. ^{[2
]}

Arneodo, F. ^{[3
]}

Askin, A. ^{[4
]}

Baudis, L. ^{[4
]}

Behrens, A. ^{[4
]}

Bokeloh, K. ^{[5
]}

Brown, E. ^{[2
]}

Bruch, T. ^{[4
]}

Cardoso, J. M. R. ^{[6
]}

Choi, B. ^{[1
]}

Cline, D. ^{[2
]}

Duchovni, E. ^{[7
]}

Fattori, S. ^{[3
,8
]}

Ferella, A. D. ^{[4
]}

Giboni, K. -L. ^{[1
]}

Gross, E. ^{[7
]}

Kish, A. ^{[4
]}

Lam, C. W. ^{[2
]}

Lamblin, J. ^{[9
]}

Lang, R. F. ^{[1
]}

Lim, K. E. ^{[1
]}

Lindemann, S. ^{[10
]}

Lindner, M. ^{[10
]}

Lopes, J. A. M. ^{[6
]}

Undagoitia, T. Marrodan ^{[4
]}

Mei, Y. ^{[11
]}

Fernandez, A. J. Melgarejo ^{[1
]}

Ni, K. ^{[12
]}

Oberlack, U. ^{[8
,11
]}

Orrigo, S. E. A. ^{[6
]}

Pantic, E. ^{[2
]}

Plante, G. ^{[1
]}

Ribeiro, A. C. C. ^{[6
]}

Santorelli, R. ^{[1
,4
]}

dos Santos, J. M. F. ^{[6
]}

Schumann, M. ^{[4
,11
]}

Shagin, P. ^{[11
]}

Teymourian, A. ^{[2
]}

Thers, D. ^{[9
]}

Tziaferi, E. ^{[4
]}

Vitells, O. ^{[7
]}

Wang, H. ^{[2
]}

Weber, M. ^{[10
]}

Weinheimer, C. ^{[5
]}

机构：

[1] Columbia Univ, Dept Phys, New York, NY 10027 USA

[2] Univ Calif Los Angeles, Dept Phys & Astron, Los Angeles, CA 90095 USA

[3] INFN Lab Nazl Gran Sasso, I-67100 Assergi, Italy

[4] Univ Zurich, Inst Phys, CH-8057 Zurich, Switzerland

[5] Univ Munster, Inst Kernphys, D-48149 Munster, Germany

[6] Univ Coimbra, Dept Phys, P-3004516 Coimbra, Portugal

[7] Weizmann Inst Sci, Dept Particle Phys & Astrophys, IL-76100 Rehovot, Israel

[8] Johannes Gutenberg Univ Mainz, Inst Phys, D-55099 Mainz, Germany

[9] Univ Nantes, SUBATECH, F-44307 Nantes, France

[10] Max Planck Inst Kernphys, D-69117 Heidelberg, Germany

[11] Rice Univ, Dept Phys, Houston, TX 77005 USA

[12] Shanghai Jiao Tong Univ, Dept Phys, Shanghai 200240, Peoples R China

来源：

PHYSICAL REVIEW D | 2011年 / 84卷 / 05期

基金：

美国国家科学基金会;

关键词：

SCINTILLATION EFFICIENCY; LIQUID XENON; ENERGY; RECOILS; ERRORS;

D O I：

10.1103/PhysRevD.84.052003

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Many experiments that aim at the direct detection of dark matter are able to distinguish a dominant background from the expected feeble signals, based on some measured discrimination parameter. We develop a statistical model for such experiments using the profile likelihood ratio as a test statistic in a frequentist approach. We take data from calibrations as control measurements for signal and background, and the method allows the inclusion of data from Monte Carlo simulations. Systematic detector uncertainties, such as uncertainties in the energy scale, as well as astrophysical uncertainties, are included in the model. The statistical model can be used to either set an exclusion limit or to quantify a discovery claim, and the results are derived with the proper treatment of statistical and systematic uncertainties. We apply the model to the first data release of the XENON100 experiment, which allows one to extract additional information from the data, and place stronger limits on the spin-independent elastic weakly interacting massive particles nucleon scattering cross section. In particular, we derive a single limit, including all relevant systematic uncertainties, with a minimum of 2.4 x 10(-44) cm(2) for weakly interacting massive particles with a mass of 50 GeV/c(2).

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