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Statistical analysis of detection of, and upper limits on, dark matter lines
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics.
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics.
2007 (English)In: First GLAST Symposium / [ed] Ritz, S; Michelson, P; Meegan, C, 2007, Vol. 921, 586-587 p.Conference paper (Refereed)
Abstract [en]

In this note we present calculations of coverage and power for three different methods which could be used to calculate upper limits and/or claim discovery in a GLAST-LAT search fora dark matter line. The methods considered are Profile Likelihood, Bayesian factors and likelihood ratio confidence intervals and the calculations are done considering a simple benchmark model of two uncorrelated Poissonian measurements. Profile likelihood has the best coverage properties, the standard X-2 test the worst. For the power, the situation is vice-versa. In choosing a method one has to consider the false detection rate (1 - coverage) and counterweigh it to the possible achievable power.

Place, publisher, year, edition, pages
2007. Vol. 921, 586-587 p.
, AIP Conference Proceedings, ISSN 0094-243X ; 921
Keyword [en]
dark matter, coverage, power, profile likelihood, Feldman-Cousins, Bayesian
National Category
Physical Sciences
URN: urn:nbn:se:kth:diva-39637DOI: 10.1063/1.2757464ISI: 000248569700210ScopusID: 2-s2.0-77949512571ISBN: 978-0-7354-0431-1OAI: diva2:440469
1st Gamma-ray Large Area Space Telescope Symposium, GLAST; Stanford, CA; 5 February 2007 through 8 February 2007
Available from: 2011-09-13 Created: 2011-09-12 Last updated: 2011-09-13Bibliographically approved

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