2022
DOI: 10.1088/1748-0221/17/06/p06009
|View full text |Cite
|
Sign up to set email alerts
|

Timepix3 detector for measuring radon decay products

Abstract: The present work is focused on the characterization of a Timepix3 (TPX3) based test system for the identification of particles produced by the complex decay chain of 222Rn. The detector used is composed of a pixelated Cadmium Telluride (CdTe) semiconductor (500 μm thick) bump-bonded on an ASIC TPX3 chip. Measurements were carried out at the NIXT Laboratory (ENEA Frascati) using radioactive sources and exploiting the presence of natural radon gas by collecting its decay products on the sensor su… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

1
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 8 publications
1
0
0
Order By: Relevance
“…Using these parameters and by defining specific cuts on CS and Rnd it is possible to discriminate and identify the tracks of interest due to reaction products (alpha and triton particles) and remove the gamma and beta background. A series of tests on tracks morphology confirmed the same constraints on some parameters of previous works [15]: in this case, an optimal discrimination versus gamma and beta background is obtained with cuts on CS and Rnd respectively greater than 5 and 70. Using these cluster filter criteria the background was minimized and a good division between the signal below 6 LiF and the rest of the detector was achieved.…”
Section: Measurements At the Hotnes Facility And Experimental Resultssupporting
confidence: 80%
“…Using these parameters and by defining specific cuts on CS and Rnd it is possible to discriminate and identify the tracks of interest due to reaction products (alpha and triton particles) and remove the gamma and beta background. A series of tests on tracks morphology confirmed the same constraints on some parameters of previous works [15]: in this case, an optimal discrimination versus gamma and beta background is obtained with cuts on CS and Rnd respectively greater than 5 and 70. Using these cluster filter criteria the background was minimized and a good division between the signal below 6 LiF and the rest of the detector was achieved.…”
Section: Measurements At the Hotnes Facility And Experimental Resultssupporting
confidence: 80%