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T: Fachverband Teilchenphysik

T 9: Dunkle Materie 1

T 9.5: Vortrag

Montag, 24. März 2014, 12:10–12:25, P11

Bayesian applications towards the analysis of XENON100 data — •Stefan Schindler — JGU, Staudingerweg 7, 55128 Mainz

The XENON100 experiment is located in the underground lab at LNGS in Italy. The underground location is necessary to be shielded against cosmic radiation. Since Dark Matter particles will only interact very rare with normal matter, an environment with ultra low background is needed. The analysis for XENON100 data was performed with the profile likelihood method (a frequentist approach) and still provides one of the most sensitive exclusion limits.

Bayesian inference takes a different approach towards probability. Here, probability is interpreted as a degree of believe. In the Bayesian approach a prior probability density function (pdf) is defined which represents the state of knowledge in a parameter of interest. After looking at the data, this knowledge is updated which results in the posterior pdf. All inferences of the problem are obtained following Bayes'theorem. We present the outcome of these Bayesian calculations, compare them to the profile likelihood results for 225 live days data of the the XENON100 detector and give an outlook of future tasks.