MCLTDCR: A Monte Carlo code for generation of list mode TDCR files

This work describes a Monte Carlo code developed for generation of list-mode TDCR files. The structure of the code, along with its input and output formats, is described. The significance of adequate modeling of the time distributions between the signals of the photomultiplier tubes is highlighted, and the options for achieving this with the current code are presented. The advantages of having datasets with known basic reference, such as those provided by Monte Carlo simulation, are demonstrated through two examples. It is shown, first, how the results of the code can be used for benchmarking list-mode TDCR analysis software, and second, how the code can be used to study the effect of correcting accidental coincidences on TDCR counting results.

Authors

Institutions

Publication Details

Journal
Applied Radiation and Isotopes
Published
2025-08-18
DOI
https://doi.org/10.1016/j.apradiso.2025.112094
Citations
1
Primary Topic
Radioactive Decay and Measurement Techniques
Type
article
Field-Weighted Citation Impact
1.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MCLTDCR: A Monte Carlo code for generation of list mode TDCR files

K. Mitev, Benoît Sabot, V. Todorov, P. Cassette
1 citations
Applied Radiation and Isotopes
Radioactive Decay and Measurement Techniques
1.88
article

MCLTDCR: A Monte Carlo code for generation of list mode TDCR files

K. Mitev, Benoît Sabot, V. Todorov, P. Cassette
article en
1 citations

Abstract

This work describes a Monte Carlo code developed for generation of list-mode TDCR files. The structure of the code, along with its input and output formats, is described. The significance of adequate modeling of the time distributions between the signals of the photomultiplier tubes is highlighted, and the options for achieving this with the current code are presented. The advantages of having datasets with known basic reference, such as those provided by Monte Carlo simulation, are demonstrated through two examples. It is shown, first, how the results of the code can be used for benchmarking list-mode TDCR analysis software, and second, how the code can be used to study the effect of correcting accidental coincidences on TDCR counting results.

Applied Radiation and IsotopesVol. 226
Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Laboratoire d'Intégration des Systèmes et des Technologies (FR), Laboratoire National Henri Becquerel (FR), Sofia University "St. Kliment Ohridski" (BG)
Affordable and clean energy
Openalex Percentile: Top 14%
Radioactive Decay and Measurement Techniques
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.

MCLTDCR: A Monte Carlo code for generation of list mode TDCR files — K. Mitev, Benoît Sabot, et al. · Applied Radiation and Isotopes (2025) | TGRS Research Map | TGRS