| Issue |
EPJ Web Conf.
Volume 338, 2025
ANIMMA 2025 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|
|
|---|---|---|
| Article Number | 10001 | |
| Number of page(s) | 8 | |
| Section | Current Trends in Development Radiation Detectors | |
| DOI | https://doi.org/10.1051/epjconf/202533810001 | |
| Published online | 06 November 2025 | |
https://doi.org/10.1051/epjconf/202533810001
ScintiPulses: A Python Package to Simulate Signal from Scintillation Detectors
Bureau International des Poids et Mesures, Pavillon de Breteuil, Sèvres, Cedex, F-92312, France
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Published online: 6 November 2025
Abstract
The scintiPulses Python package provides a versatile and comprehensive toolkit for simulating pulse signals from scintillation detectors. It accurately models scintillation pulse dynamics while incorporating various noise sources, including shot noise generated by the inhomogeneous statistical process of fluorescence. The package offers extensive customization through a wide range of parameters, making it adaptable to different scintillation detectors and signal processing applications. With the increasing adoption of digital electronics enabling offline processing of scintillation signals, it addresses the critical need for high-quality training datasets in the development of AI-driven signal processing algorithms. This open-source package is distributed at https://pypi.org/project/scintiPulses/ and available for collaborative development on GitHub https://github.com/RomainCoulon/scintiPulses. This paper presents an overview of the package’s features.
Key words: Scintillation detectors / Digital signal processing / Signal emulator / Artificial intelligence / Machine learning
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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