Please read these instructions before posting any event on Fermilab Indico

Indico search will be reestablished in the next version upgrade of the software: https://getindico.io/roadmap/


   

This search is only for public events. Restricted events are not available.

June 22, 2020 to July 2, 2020
US/Central timezone

Data Reduction Algorithms for the ECHo Experiment

Not scheduled
10m

Speaker

Mr Arnulf Barth (Kirchhoff Institute for Physics, Heidelberg University)

Description

The goal of the Electron Capture in Ho-163 (ECHo) experiment is the determination of the electron neutrino mass by analyzing the electron capture (EC) spectrum of Ho-163. Metallic magnetic calorimeters operated at low temperatures, in which the Ho-163 has been implanted, have been selected to conduct a high resolution, high statistics, and low background calorimetric measurement of the Ho-163 EC spectrum.

In order to reliably infer the energy of Ho-163 events and discard triggered noise or pile-up events, fast and robust analysis algorithms are required. We present the results obtained by applying the analysis algorithms to different data files affected in a different manner by noise sources. Based on these results, we then discuss the present structure for data reduction algorithms to be applied for the analysis of the ECHo-1k high statistics data.

Mini-abstract

Advanced data reduction algorithms allow for a reliable identification of Ho-163 signals

Experiment/Collaboration ECHo Collaboration

Primary author

Mr Arnulf Barth (Kirchhoff Institute for Physics, Heidelberg University)

Presentation Materials