REST-for-Physics, a ROOT-based framework for event oriented data analysis and combined Monte Carlo response
Konrad Altenm\"uller, Susana Cebri\'an, Theopisti Dafni, David, D\'iez-Ib\'a\~nez, Javier Gal\'an, Javier Galindo, Juan Antonio Garc\'ia,, Igor G. Irastorza, Gloria Luz\'on, Cristina Margalejo, Hector Mirallas, Luis, Obis, Oscar P\'erez, Ke Han, Kaixiang Ni, Yann Bedfer

TL;DR
REST-for-Physics is a ROOT-based framework designed for event data analysis in rare event searches, emphasizing traceability, validation, and scalability, applicable to various detector technologies beyond its initial scope.
Contribution
The paper introduces a comprehensive, scalable ROOT-based framework tailored for rare event searches, with modular tools for detector response, signal processing, and event identification, adaptable to different detection technologies.
Findings
Framework successfully used in gaseous TPC experiments
Provides detailed metadata for traceability and validation
Flexible and adaptable to various detector types
Abstract
The REST-for-Physics (Rare Event Searches Toolkit for Physics) framework is a ROOT-based solution providing the means to process and analyze experimental or Monte Carlo event data. Special care has been taken on the traceability of the code and the validation of the results produced within the framework, together with the connectivity between code and data stored registered through specific version metadata members. The framework development was originally motivated to cover the needs at Rare Event Searches experiments (experiments looking for phenomena having extremely low occurrence probability like dark matter or neutrino interactions or rare nuclear decays), and its components naturally implement tools to address the challenges in these kinds of experiments; the integration of a detector physics response, the implementation of signal processing routines, or topological algorithms…
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Neutrino Physics Research · Particle physics theoretical and experimental studies
