Data reduction for a calorimetrically measured $$^{163}\mathrm {Ho}$$ 163 Ho spectrum of the ECHo-1k experiment

Abstract The electron capture in $$^{163}\mathrm {Ho}$$ 163 Ho experiment (ECHo) is designed to directly measure the effective electron neutrino mass by analysing the endpoint region of the $$^{163}\mathrm {Ho}$$ 163 Ho electron capture spectrum. We present a data reduction scheme for the analysis o...

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Autores principales: Robert Hammann, Arnulf Barth, Andreas Fleischmann, Dennis Schulz, Loredana Gastaldo
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Lenguaje:EN
Publicado: SpringerOpen 2021
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spelling oai:doaj.org-article:7c935802f38c4ec7bf6c5111d75c13ba2021-11-08T10:43:23ZData reduction for a calorimetrically measured $$^{163}\mathrm {Ho}$$ 163 Ho spectrum of the ECHo-1k experiment10.1140/epjc/s10052-021-09763-91434-60441434-6052https://doaj.org/article/7c935802f38c4ec7bf6c5111d75c13ba2021-11-01T00:00:00Zhttps://doi.org/10.1140/epjc/s10052-021-09763-9https://doaj.org/toc/1434-6044https://doaj.org/toc/1434-6052Abstract The electron capture in $$^{163}\mathrm {Ho}$$ 163 Ho experiment (ECHo) is designed to directly measure the effective electron neutrino mass by analysing the endpoint region of the $$^{163}\mathrm {Ho}$$ 163 Ho electron capture spectrum. We present a data reduction scheme for the analysis of high statistics data acquired with the first phase of the ECHo experiment, ECHo-1k, to reliably infer the energy of $$^{163}\mathrm {Ho}$$ 163 Ho events and discard triggered noise or pile-up events. On a first level, the raw data is filtered purely based on the trigger time information of the acquired signals. On a second level, the time profile of each triggered event is analysed to identify the signals corresponding to a single energy deposition in the detector. We demonstrate that events not belonging to this category are discarded with an efficiency above 99.8%, with a minimal loss of $$^{163}\mathrm {Ho}$$ 163 Ho events of about 0.7%. While the filter using the trigger time information is completely energy independent, a slight energy dependence of the filter based on the time profile is precisely characterised. This data reduction protocol will be important to minimise systematic errors in the analysis of the $$^{163}\mathrm {Ho}$$ 163 Ho spectrum for the determination of the effective electron neutrino mass.Robert HammannArnulf BarthAndreas FleischmannDennis SchulzLoredana GastaldoSpringerOpenarticleAstrophysicsQB460-466Nuclear and particle physics. Atomic energy. RadioactivityQC770-798ENEuropean Physical Journal C: Particles and Fields, Vol 81, Iss 11, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Astrophysics
QB460-466
Nuclear and particle physics. Atomic energy. Radioactivity
QC770-798
spellingShingle Astrophysics
QB460-466
Nuclear and particle physics. Atomic energy. Radioactivity
QC770-798
Robert Hammann
Arnulf Barth
Andreas Fleischmann
Dennis Schulz
Loredana Gastaldo
Data reduction for a calorimetrically measured $$^{163}\mathrm {Ho}$$ 163 Ho spectrum of the ECHo-1k experiment
description Abstract The electron capture in $$^{163}\mathrm {Ho}$$ 163 Ho experiment (ECHo) is designed to directly measure the effective electron neutrino mass by analysing the endpoint region of the $$^{163}\mathrm {Ho}$$ 163 Ho electron capture spectrum. We present a data reduction scheme for the analysis of high statistics data acquired with the first phase of the ECHo experiment, ECHo-1k, to reliably infer the energy of $$^{163}\mathrm {Ho}$$ 163 Ho events and discard triggered noise or pile-up events. On a first level, the raw data is filtered purely based on the trigger time information of the acquired signals. On a second level, the time profile of each triggered event is analysed to identify the signals corresponding to a single energy deposition in the detector. We demonstrate that events not belonging to this category are discarded with an efficiency above 99.8%, with a minimal loss of $$^{163}\mathrm {Ho}$$ 163 Ho events of about 0.7%. While the filter using the trigger time information is completely energy independent, a slight energy dependence of the filter based on the time profile is precisely characterised. This data reduction protocol will be important to minimise systematic errors in the analysis of the $$^{163}\mathrm {Ho}$$ 163 Ho spectrum for the determination of the effective electron neutrino mass.
format article
author Robert Hammann
Arnulf Barth
Andreas Fleischmann
Dennis Schulz
Loredana Gastaldo
author_facet Robert Hammann
Arnulf Barth
Andreas Fleischmann
Dennis Schulz
Loredana Gastaldo
author_sort Robert Hammann
title Data reduction for a calorimetrically measured $$^{163}\mathrm {Ho}$$ 163 Ho spectrum of the ECHo-1k experiment
title_short Data reduction for a calorimetrically measured $$^{163}\mathrm {Ho}$$ 163 Ho spectrum of the ECHo-1k experiment
title_full Data reduction for a calorimetrically measured $$^{163}\mathrm {Ho}$$ 163 Ho spectrum of the ECHo-1k experiment
title_fullStr Data reduction for a calorimetrically measured $$^{163}\mathrm {Ho}$$ 163 Ho spectrum of the ECHo-1k experiment
title_full_unstemmed Data reduction for a calorimetrically measured $$^{163}\mathrm {Ho}$$ 163 Ho spectrum of the ECHo-1k experiment
title_sort data reduction for a calorimetrically measured $$^{163}\mathrm {ho}$$ 163 ho spectrum of the echo-1k experiment
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/7c935802f38c4ec7bf6c5111d75c13ba
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