English

REST-for-Physics, a ROOT-based framework for event oriented data analysis and combined Monte Carlo response

Computational Physics 2022-02-09 v2 Data Analysis, Statistics and Probability Instrumentation and Detectors

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 for physical event identification are some examples. Despite this specialization, the framework was conceived thinking in scalability, and other event-oriented applications could benefit from the data processing routines and/or metadata description implemented in REST, being the generic framework tools completely decoupled from dedicated libraries. REST-for-Physics is a consolidated piece of software already serving the needs of different physics experiments - using gaseous Time Projection Chambers (TPCs) as detection technology - for background data analysis and detector characterization, as well as generic detector R\&D. Even though REST has been exploited mainly with gaseous TPCs, the code could be easily applied or adapted to other detection technologies. We present in this work an overview of REST-for-Physics, providing a broad perspective to the infrastructure and organization of the project as a whole. The framework and its different components will be described in the text.

Keywords

Cite

@article{arxiv.2109.05863,
  title  = {REST-for-Physics, a ROOT-based framework for event oriented data analysis and combined Monte Carlo response},
  author = {Konrad Altenmüller and Susana Cebrián and Theopisti Dafni and David Díez-Ibáñez and Javier Galán and Javier Galindo and Juan Antonio García and Igor G. Irastorza and Gloria Luzón and Cristina Margalejo and Hector Mirallas and Luis Obis and Oscar Pérez and Ke Han and Kaixiang Ni and Yann Bedfer and Barbara Biasuzzi and Esther Ferrer-Ribas and Damien Neyret and Thomas Papaevangelou and Cristian Cogollos and Eduardo Picatoste},
  journal= {arXiv preprint arXiv:2109.05863},
  year   = {2022}
}

Comments

27 pages, 14 figures, prepared for submission to Computer Physics Communications

R2 v1 2026-06-24T05:54:42.362Z