Hamburg 2016 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

T: Fachverband Teilchenphysik

T 64: Neutrinos, Dunkle Materie und Luftschauer

T 64.7: Vortrag

Dienstag, 1. März 2016, 18:25–18:40, VMP9 SR 30

Status of the 2D Bayesian analysis of XENON100 data — •Stefan Schindler for the XENON collaboration — JGU, Staudingerweg 7, 55128 Mainz

The XENON100 experiment is located in the underground laboratory at LNGS in Italy. Since Dark Matter particles will only interact very rare with normal matter, an environment with ultra low background, which is shielded from cosmic radiation 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 to WIMP Dark Matter.

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, the knowledge is updated, which results in a posterior pdf. All inferences of the problem are obtained following Bayes'theorem. We present the status of an unbinned 2D approach, using Bayesian inference. Going away from a spatial averaged treatment of the signal in the detector, postion dependence is introduced. The progress to reconstruct mass and cross-section of an interacting WMIP for a given set of mock-data is shown and compared to the spatial averaged case.