The matrix optimum filter for low temperature detectors dead-time reduction

• Published in: The European physical journal. C, Particles and fields Particles and fields, 2022-05, Vol.82 (5), p.421-7, Article 421
• Main Authors: Borghesi, Matteo, Faverzani, Marco, Ferrari, Cecilia, Ferri, Elena, Giachero, Andrea, Nucciotti, Angelo, Origo, Luca
• Format: Article
• Language: English
• Subjects: Astronomy; Astrophysics and Cosmology; Detectors; Electric filters; Elementary Particles; Energy; Experiments; Filtration; Hadrons; Heavy Ions; Low temperature; Measurement Science and Instrumentation; Noise; Nuclear Energy; Nuclear Physics; Physics; Physics and Astronomy; Quantum Field Theories; Quantum Field Theory; Regular - Experimental Physics; Regular Article - Experimental Physics; Sensors; Signal processing; String Theory
• ISSN: 1434-6044; 1434-6052; 1434-6052
• DOI: 10.1140/epjc/s10052-022-10379-w

Experiments aiming at high sensitivities usually demand for a very high statistics in order to reach more precise measurements. However, for those exploiting Low Temperature Detectors (LTDs), a high source activity may represent a drawback, if the events rate becomes comparable with the detector characteristic temporal response. Indeed, since commonly used optimum filtering approaches can only process LTDs signals well isolated in time, a non-negligible part of the recorded experimental data-set is discarded and hence constitute the dead-time . In the presented study we demonstrate that, thanks to the matrix optimum filtering approach, the dead-time of an experiment exploiting LTDs can be strongly reduced.