14–18 Oct 2024
CEUB, Bertinoro
Europe/Rome timezone

Event reconstruction with machine learning techniques

16 Oct 2024, 16:45
45m
Sala Giovanni Andrea Caligari, Rocca Vescovile (CEUB, Bertinoro)

Sala Giovanni Andrea Caligari, Rocca Vescovile

CEUB, Bertinoro

CEUB Bertinoro Via Aldruda Frangipane, 6, 47032 Bertinoro FC The room "Sala Giovanni Andrea Caligari" is located at the entrance to the main floor of the Rocca

Speaker

Johannes Merz

Description

The XENONnT Dark Matter Experiment is a dual phase TPC searching for nuclear recoil signals generated by WIMP dark matter. Interactions in the sensitive detector material result in a prompt light signal (S1) and a delayed secondary scintillation signal (S2), resulting from ionization electrons drifted in a moderate electric field to the liquid surface, where they are extracted to the gas phase in a strong field between two wire electrodes, called gate and anode. These electrons lead to proportional scintillation in the gas phase and hence to an amplified S2 signal. XENONnT features a substantial background rate of single electrons, largely due to photoionization of neutral impurities, leading to numerous small S2 signals, which can be confused with S1 signals of similar size. The goal of this study is to improve the discrimination of both signals using Machine Learning approaches.

Presentation materials