ScintiPulses: A Python Package to Simulate Signal from Scintillation Detectors

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.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533810001
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
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article

ScintiPulses: A Python Package to Simulate Signal from Scintillation Detectors

Romain Coulon
EPJ Web of Conferences
Radiation Detection and Scintillator Technologies
article

ScintiPulses: A Python Package to Simulate Signal from Scintillation Detectors

Romain Coulon
article en

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.

EPJ Web of ConferencesVol. 338
Bureau international des poids et mesures (FR)
Openalex Percentile: Top 57%
Radiation Detection and Scintillator Technologies
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