Hamburg 2016 – scientific programme

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T: Fachverband Teilchenphysik

T 62: Suche nach dunkler Materie III

T 62.2: Talk

Tuesday, March 1, 2016, 17:05–17:20, VMP9 SR 28

Artificial neural network based pulse-shape analysis for cryogenic detectors operated in CRESST-II — •Andreas Zöller for the CRESST collaboration — Physik-Department and Excellence Cluster Universe, Technische Universität München, D-85747 Garching

In this talk we report on results of a pulse-shape analysis of cryogenic detectors based on artificial neural networks. To train the neural network a large amount of pulses with known properties are necessary. Therefore, a data-driven simulation used to generate these sets will be explained. The presented analysis shows an excellent discrimination performance even down to the energy threshold. The method is applied to several detectors, among them is the module with the lowest threshold (307eV) operated in CRESST-II phase 2. The performed blind analysis of this module confirms the substantially enhanced sensitivity for light dark matter published in 2015. This research was supported by the DFG cluster of excellence ``Origin and Structure of the Universe'', by the Helmholtz Alliance for Astroparticle Physics, by the Maier-Leibnitz-Laboratorium (Garching) and by the BMBF.