English

CMS RPC Non-Physics Event Data Automation Ideology

High Energy Physics - Experiment 2025-04-15 v1 Instrumentation and Detectors

Abstract

This paper presents a streamlined framework for real-time processing and analysis of condition data from the CMS experiment Resistive Plate Chambers (RPC). Leveraging data streaming, it uncovers correlations between RPC performance metrics, like currents and rates, and LHC luminosity or environmental conditions. The Java-based framework automates data handling and predictive modeling, integrating extensive datasets into synchronized, query-optimized tables. By segmenting LHC operations and analyzing larger virtual detector objects, the automation enhances monitoring precision, accelerates visualization, and provides predictive insights, revolutionizing RPC performance evaluation and future behavior modeling.

Keywords

Cite

@article{arxiv.2504.08991,
  title  = {CMS RPC Non-Physics Event Data Automation Ideology},
  author = {A. Dimitrov and M. Tytgat and K. Mota Amarilo and A. Samalan and K. Skovpen and G. A. Alves and E. Alves Coelho and F. Marujo da Silva and M. Barroso Ferreira Filho and E. M. Da Costa and D. De Jesus Damiao and S. Fonseca De Souza and R. Gomes De Souza and L. Mundim and H. Nogima and J. P. Pinheiro and A. Santoro and M. Thiel and A. Aleksandrov and R. Hadjiiska and P. Iaydjiev and M. Shopova and G. Sultanov and L. Litov and B. Pavlov and P. Petkov and A. Petrov and E. Shumka and P. Cao and W. Diao and Q. Hou and H. Kou and Z. -A. Liu and J. Song and J. Zhao and S. J. Qian and C. Avila and D. A. Barbosa Trujillo and A. Cabrera and C. A. Florez and J. A. Reyes Vega and R. Aly and A. Radi and Y. Assran and I. Crotty and M. A. Mahmoud and M. Gouzevitch and G. Grenier and I. B. Laktineh and L. Mirabito and I. Bagaturia and I. Lomidze and Z. Tsamalaidze and V. Amoozegarp and B. Boghrati and M. Ebrahimi and F. Esfandi and Y. Hosseini and M. Mohammadi Najafabadi and E. Zareian and M. Abbrescia and N. De Filippis and G. Iaselli and F. Loddo and G. Pugliese and D. Ramos and L. Benussi and S. Bianco and S. Meola and D. Piccolo and S. Buontempo and F. Carnevali and F. Fienga and L. Lista and P. Paolucci and A. Braghieri and P. Montagna and C. Riccardi and P. Salvini and P. Vitulo and E. Asilar and T. J. Kim and Y. Ryou and S. Choi and B. Hong and K. S. Lee and J. Goh and J. Shin and Y. Lee and I. Pedraza and C. Uribe Estrada and H. Castilla-Valdez and R. Lopez-Fernandez and A. Sanchez Hernandez and M. Ramirez Garcia and D. L. Ramirez Guadarrama and M. A. Shah and E. Vazquez and N. Zaganidis and A. Ahmad and M. I. Asghar and H. R. Hoorani and S. Muhammad and J. Eysermans},
  journal= {arXiv preprint arXiv:2504.08991},
  year   = {2025}
}

Comments

CMS RPC Condition Data Automation, Java framework, 12 pages, 23 figures, CMS Condition database

R2 v1 2026-06-28T22:55:35.069Z