PHYSLITE - A new reduced common data format for ATLAS

Author:

Schaarschmidt Jana,Catmore James,Elmsheuser Johannes,Heinrich Lukas,Krumnack Nils,Mete Serhan,Ozturk Nurcan

Abstract

The High Luminosity LHC (HL-LHC) era brings unprecedented computing challenges that call for novel approaches to reduce the amount of real and Monte Carlo-simulated data that is stored, while continuing to support the rich physics program of the ATLAS experiment. With the beginning of LHC Run 3, ATLAS introduced a new common data format, PHYS, that replaces most of the analysis-specific formats that were used in Run 2, and therefore reduces the disk storage significantly. ATLAS also launched the prototype of another common format, PHYSLITE, that is about a third of the size of PHYS. PHYSLITE will be the main format for ATLAS at the HL-LHC and aims to serve 80% of all physics analyses. To simplify analysis workloads and further reduce disk usage it is designed to largely replace user-defined analysis n-tuples and consequently contains pre-calibrated objects. Various forms of validations are in place to ensure correct functionality for users. Developments continue towards HL-LHC to improve the PHYSLITE format further.

Publisher

EDP Sciences

Reference15 articles.

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2. Aberle O., et al., High-Luminosity Large Hadron Collider (HL-LHC): Technical design report, CERN Yellow Reports: Monographs (CERN, Geneva, 2020), https://cds. cern.ch/record/2749422

3. Calafiura P., Catmore J., Costanzo D., Di Girolamo A., ATLAS HL-LHC Computing Conceptual Design Report (2020), https://cds.cern.ch/record/2729668

4. ATLAS Collaboration, ATLAS Software and Computing HL-LHC Roadmap (2022), https://cds.cern.ch/record/2802918

5. Catmore J., Cranshaw J., Gillam T., Gramstad E., Laycock P., Ozturk N., Stewart G.A., on behalf of the ATLAS Collaboration, A new petabyte-scale data derivation framework for ATLAS (2015), https://dx.doi.org/10.1088/1742-6596/664/7/072007

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