Cait: Analysis Toolkit for Cryogenic Particle Detectors in Python
نویسندگان
چکیده
Cryogenic solid state detectors are widely used in dark matter and neutrino experiments, require a sensible raw data analysis. For this purpose, we present Cait, an open source Python package with all essential methods for the analysis of detector modules fully integrable ecosystem scientific computing machine learning. It comes triggering events from continuously sampled streams, identification particle recoils artifacts low signal-to-noise ratio environment, reconstruction deposited energies, simulation variety typical event types. Furthermore, by connecting Cait existing learning frameworks introduce novel better automation cleaning background rejection.
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ژورنال
عنوان ژورنال: Computing and software for big science
سال: 2022
ISSN: ['2510-2036', '2510-2044']
DOI: https://doi.org/10.1007/s41781-022-00092-4