| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 06017 | |
| Number of page(s) | 8 | |
| Section | Physics Analysis Tools | |
| DOI | https://doi.org/10.1051/epjconf/202429506017 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429506017
PHYSLITE - A new reduced common data format for ATLAS
1 University of Washington
2 University of Oslo
3 Brookhaven National Laboratory
4 Technical University of Munich
5 Iowa State University
6 Argonne National Laboratory
7 University of Texas at Arlington
* e-mail: jana.schaarschmidt@cern.ch
Published online: 6 May 2024
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.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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