Beam test results of a fully 3D-printed plastic scintillator particle detector prototype

Abstract Plastic scintillators are widely used for the detection of elementary particles, and 3D reconstruction of particle tracks is achieved by segmenting the detector into 3D granular structures. In this study, we present a novel prototype fabricated by additive manufacturing, consisting of a 5 × 5 × 5 array of 1 cm^3 plastic scintillator cubes, each optically isolated. This innovative approach eliminates the need to construct complex monolithic geometries in a single operation and gets rid of the traditional time-consuming manufacturing and assembling processes. The prototype underwent performance characterization during a beam test at CERN's Proton-Synchrotron facility. Light yield, optical crosstalk, and light response uniformity, were evaluated. The prototype demonstrated a consistent light yield (LY) of approximately 27 photoelectrons (p.e.) per channel, similar to traditional cast scintillator detectors. Crosstalk between adjacent cubes averaged 4-5%, while LY uniformity within individual cubes exhibited about 7% variation, indicating stability and reproducibility. These results underscore the potential of the novel additive manufacturing technique, for efficient and reliable production of high-granularity scintillator detectors.

Authors

Institutions

Publication Details

Journal
Journal of Instrumentation
Published
2025-04-01
DOI
https://doi.org/10.1088/1748-0221/20/04/p04008
Citations
1
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beam test results of a fully 3D-printed plastic scintillator particle detector prototype

Andrey Boyarintsev, Xingyu Zhao, Т. Сібілєва, M. Franks et al.
1 citations
Journal of Instrumentation
Radiation Detection and Scintillator Technologies
1.88
article

Beam test results of a fully 3D-printed plastic scintillator particle detector prototype

Andrey Boyarintsev, Xingyu Zhao, Т. Сібілєва, M. Franks, D. Sgalaberna, Siddartha Berns, Sylvain Hugon, Johannes Wüthrich, Till Dieminger, Tim Frederik Weber, U. Köse, Éric Boillat, A. De Roeck, Botao Li, A. Rubbia, Carsten Jaeschke
article en
1 citations

Abstract

Abstract Plastic scintillators are widely used for the detection of elementary particles, and 3D reconstruction of particle tracks is achieved by segmenting the detector into 3D granular structures. In this study, we present a novel prototype fabricated by additive manufacturing, consisting of a 5 × 5 × 5 array of 1 cm^3 plastic scintillator cubes, each optically isolated. This innovative approach eliminates the need to construct complex monolithic geometries in a single operation and gets rid of the traditional time-consuming manufacturing and assembling processes. The prototype underwent performance characterization during a beam test at CERN's Proton-Synchrotron facility. Light yield, optical crosstalk, and light response uniformity, were evaluated. The prototype demonstrated a consistent light yield (LY) of approximately 27 photoelectrons (p.e.) per channel, similar to traditional cast scintillator detectors. Crosstalk between adjacent cubes averaged 4-5%, while LY uniformity within individual cubes exhibited about 7% variation, indicating stability and reproducibility. These results underscore the potential of the novel additive manufacturing technique, for efficient and reliable production of high-granularity scintillator detectors.

Journal of InstrumentationVol. 20(04)
HES-SO University of Applied Sciences and Arts Western Switzerland (CH), ETH Zurich (CH), Haute École Pédagogique du Canton de Vaud (CH), HES-SO Fribourg (CH), Groupe Hospitalier Diaconesses Croix Saint-Simon (FR), Institute for Scintillation Materials (UA), European Organization for Nuclear Research (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 18%
Radiation Detection and Scintillator Technologies
1.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.