Unified System for Processing Real and Simulated Data in the ATLAS Experiment
Mikhail Borodin, Kaushik De, Jose Garcia Navarro, Dmitry Golubkov,, Alexei Klimentov, Tadashi Maeno, David South, Alexandre Vaniachine (on, behalf of the ATLAS Collaboration)
TL;DR
This paper presents a unified system designed to process both real and simulated data for the ATLAS experiment, facilitating high-precision physics analysis and discovery at the Large Hadron Collider.
Contribution
The paper introduces a novel unified processing system that handles diverse data types, improving efficiency and consistency in data analysis for high-energy physics experiments.
Findings
Enhanced data processing efficiency
Improved consistency between real and simulated data
Facilitated high-precision physics analyses
Abstract
The physics goals of the next Large Hadron Collider run include high precision tests of the Standard Model and searches for new physics. These goals require detailed comparison of data with computational models simulating the expected data behavior. To highlight the role which modeling and simulation plays in future scientific discovery, we report on use cases and experience with a unified system built to process both real and simulated data of growing volume and variety.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Particle Detector Development and Performance · Distributed and Parallel Computing Systems