6533b825fe1ef96bd1281e38

RESEARCH PRODUCT

Big Data Processing in the ATLAS Experiment: Use Cases and Experience

Dmitry GolubkovJosé Enrique García NavarroAlexei KlimentovAlexei KlimentovKaushik DeDavid SouthAlexandre VaniachineMikhail BorodinMikhail BorodinTadashi Maeno

subject

Big DataComputational modelLarge Hadron ColliderComputer sciencebusiness.industryPhysics beyond the Standard ModelData managementBig dataATLAS experimentcomputer.software_genreData scienceStandard ModelModeling and simulationParallel and Distributed ComputingGrid-based Simulation and ComputingGrid computingLarge Scale Scientific InstrumentsGeneral Earth and Planetary SciencesUse casebusinesscomputerGeneral Environmental Science

description

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.

yearjournalcountryeditionlanguage
2015-01-01Procedia Computer Science
10.1016/j.procs.2015.11.069http://dx.doi.org/10.1016/j.procs.2015.11.069