Improving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer

Abstract In the framework of rare event searches, the identification of radioactive contaminants in ultra-pure samples is a challenging task, because the signal is often at the same level of the instrumental background. This is a rather common situation for $$\alpha $$ α -spectrometers and other det...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: G. Baccolo, A. Barresi, M. Beretta, D. Chiesa, M. Nastasi, L. Pagnanini, S. Pozzi, E. Previtali, M. Sisti, G. Terragni
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
Materias:
Acceso en línea:https://doaj.org/article/3aec7529f9be45f387bf2ba101c97cf9
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:3aec7529f9be45f387bf2ba101c97cf9
record_format dspace
spelling oai:doaj.org-article:3aec7529f9be45f387bf2ba101c97cf92021-11-08T10:43:16ZImproving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer10.1140/epjc/s10052-021-09759-51434-60441434-6052https://doaj.org/article/3aec7529f9be45f387bf2ba101c97cf92021-11-01T00:00:00Zhttps://doi.org/10.1140/epjc/s10052-021-09759-5https://doaj.org/toc/1434-6044https://doaj.org/toc/1434-6052Abstract In the framework of rare event searches, the identification of radioactive contaminants in ultra-pure samples is a challenging task, because the signal is often at the same level of the instrumental background. This is a rather common situation for $$\alpha $$ α -spectrometers and other detectors used for low-activity measurements. In order to obtain the target sensitivity without extending the data taking live-time, analysis strategies that highlight the presence of the signal sought should be developed. In this paper, we show how to improve the contaminant tagging capability relying on the time-correlation of radioactive decay sequences. We validate the proposed technique by measuring the impurity level of both contaminated and ultra-pure copper samples, demonstrating the potential of this analysis tool in disentangling different background sources and providing an effective way to mitigate their impact in rare event searches.G. BaccoloA. BarresiM. BerettaD. ChiesaM. NastasiL. PagnaniniS. PozziE. PrevitaliM. SistiG. TerragniSpringerOpenarticleAstrophysicsQB460-466Nuclear and particle physics. Atomic energy. RadioactivityQC770-798ENEuropean Physical Journal C: Particles and Fields, Vol 81, Iss 11, Pp 1-9 (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
G. Baccolo
A. Barresi
M. Beretta
D. Chiesa
M. Nastasi
L. Pagnanini
S. Pozzi
E. Previtali
M. Sisti
G. Terragni
Improving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer
description Abstract In the framework of rare event searches, the identification of radioactive contaminants in ultra-pure samples is a challenging task, because the signal is often at the same level of the instrumental background. This is a rather common situation for $$\alpha $$ α -spectrometers and other detectors used for low-activity measurements. In order to obtain the target sensitivity without extending the data taking live-time, analysis strategies that highlight the presence of the signal sought should be developed. In this paper, we show how to improve the contaminant tagging capability relying on the time-correlation of radioactive decay sequences. We validate the proposed technique by measuring the impurity level of both contaminated and ultra-pure copper samples, demonstrating the potential of this analysis tool in disentangling different background sources and providing an effective way to mitigate their impact in rare event searches.
format article
author G. Baccolo
A. Barresi
M. Beretta
D. Chiesa
M. Nastasi
L. Pagnanini
S. Pozzi
E. Previtali
M. Sisti
G. Terragni
author_facet G. Baccolo
A. Barresi
M. Beretta
D. Chiesa
M. Nastasi
L. Pagnanini
S. Pozzi
E. Previtali
M. Sisti
G. Terragni
author_sort G. Baccolo
title Improving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer
title_short Improving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer
title_full Improving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer
title_fullStr Improving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer
title_full_unstemmed Improving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer
title_sort improving radioactive contaminant identification through the analysis of delayed coincidences with an $$\alpha $$ α -spectrometer
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/3aec7529f9be45f387bf2ba101c97cf9
work_keys_str_mv AT gbaccolo improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT abarresi improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT mberetta improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT dchiesa improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT mnastasi improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT lpagnanini improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT spozzi improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT eprevitali improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT msisti improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
AT gterragni improvingradioactivecontaminantidentificationthroughtheanalysisofdelayedcoincidenceswithanalphaaspectrometer
_version_ 1718442703585280000