%0 Thesis %1 zoller2016artificial %A Zöller, Andreas Josef %D 2016 %K cresst darkmatter phdthesis %T Artificial Neural Network Based Pulse-Shape Analysis for Cryogenic Detectors Operated in CRESST-II %U http://mediatum.ub.tum.de?id=1303343 %X CRESST is a direct Dark Matter search experiment aiming at the detection of WIMP-like Dark Matter scattering off nuclei in scintillating CaWO4 crystals operated as cryogenic detectors. A method based on artificial neural networks to reject events containing a pulse with distorted shape is developed and applied. Data from 5 modules operated for more than 2 years are analyzed. For 2 out of these 5 detectors an extraordinarily low threshold of <0.4 keV is achieved. This allows to constrain the WIMP-nucleon cross-section, in particular, for light WIMPs, where below ~1.7 GeV/c² a world-leading limit is obtained.

@phdthesis{zoller2016artificial, abstract = {CRESST is a direct Dark Matter search experiment aiming at the detection of WIMP-like Dark Matter scattering off nuclei in scintillating CaWO4 crystals operated as cryogenic detectors. A method based on artificial neural networks to reject events containing a pulse with distorted shape is developed and applied. Data from 5 modules operated for more than 2 years are analyzed. For 2 out of these 5 detectors an extraordinarily low threshold of <0.4 keV is achieved. This allows to constrain the WIMP-nucleon cross-section, in particular, for light WIMPs, where below ~1.7 GeV/c² a world-leading limit is obtained. }, added-at = {2016-10-20T08:46:13.000+0200}, author = {Zöller, Andreas Josef}, biburl = {https://www.bibsonomy.org/bibtex/2f6549b2c82d815fba34efe51e61d07bf/strandhagen}, interhash = {da5a315217d862dc101f43b9b898c603}, intrahash = {f6549b2c82d815fba34efe51e61d07bf}, keywords = {cresst darkmatter phdthesis}, school = {TU München}, timestamp = {2016-10-20T08:46:13.000+0200}, title = {Artificial Neural Network Based Pulse-Shape Analysis for Cryogenic Detectors Operated in CRESST-II}, type = {PhD Thesis}, url = {http://mediatum.ub.tum.de?id=1303343}, year = 2016 }