Characterization and Monte Carlo simulations for a CLYC detector

Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

Institutes & Expert groups

  • EC - JRC - European Commission - Joint Research Centre

Documents & links


The CLYC (Cs2LiYCl6:Ce) detector is a scintillator detector sensitive to both neutron and gamma radiation and capable of separating the two types of radiation by pulse-shape discrimination. This feature is interesting as pertains to the development of non-destructive assays for the safeguard of nuclear material, nuclear security, and fast-neutron personal dosimetry. A 1˝ × 1˝ CLYC detector
highly enriched with 6Li was purchased and tested with analog and digital electronics. In this work, we report on the characterization of the detector in terms of linearity, energy resolution, and full-energy efficiency for gamma rays. This characterization was achieved by measurements with calibrated gamma-ray point-sources with an analog measuring chain, in a well-defined, reproducible geometry. The experimental data were also used to validate a model of the detection system that was developed with the Monte Carlo code MCNP-CP. This work is part of a collaborative agreement between SCK•CEN and JRC-Geel.


Original languageEnglish
Title of host publicationInternational Journal of Modern Physics-Conference Series
Subtitle of host publicationProceedings of the 2017 international conference on applications of nuclear techniques (CRETE17)
Number of pages10
Publication statusPublished - 18 Jul 2018
EventThe 2017 International Conference on Applications of Nuclear Techniques - rethymno, Greece
Duration: 11 Jun 201717 Aug 2018

Publication series

NameInternational Journal of Modern Physics: Conference Series
PublisherWorld Scientific Publishing
ISSN (Print)2010-1945


ConferenceThe 2017 International Conference on Applications of Nuclear Techniques


  • CLYC, Monte Carlo modeling, Detector Response, Non-Destructive Assay, gamma-ray spectroscopy, Safeguards

ID: 6776488