2026-05-20 09:01 |
A Snakemake-Based Workflow for Reproducible Particle Physics Analyses
/ Smirnova, Oxana (Lund University (SE)) ; Astrand, Sten (Lund University (SE)) ; Cepaitis, Vilius (Universite de Geneve (CH)) ; Oleksiyuk, Ivan (Universite de Geneve (CH)) ; Schramm, Steven (Universite de Geneve (CH)) ; Golling, Tobias (Universite de Geneve (CH))
/ATLAS Collaboration
We present a prototype implementation of a particle physics analysis workflow using Snakemake for an ATLAS anomaly detection search. Snakemake provides a flexible and scalable workflow for managing thousands of jobs with complex dependencies, supporting execution both locally and across different HPC environments. [...]
ATL-SOFT-SLIDE-2026-127.-
Geneva : CERN, 2026 - 1 p.
Fulltext: poster-updated - PDF; ATL-SOFT-SLIDE-2026-127 - PDF; External link: Original Communication (restricted to ATLAS)
In : 28th Conference on Computing in High Energy and Nuclear Physics, Bangkok, Th, 25 - 29 May 2026
|
Rekord szczegółowy
|
2026-05-19 18:18 |
Rekord szczegółowy
|
2026-05-19 16:55 |
Rekord szczegółowy
|
2026-05-19 16:53 |
Rekord szczegółowy
|
2026-05-19 16:50 |
ATLAS results on associated top quark production (Top + X)
/ Mao, Lining (Shanghai Jiao Tong University (CN))
/ATLAS Collaboration
The high center-of-mass energy of proton-proton collisions and the large available datasets at the CERN Large Hadron Collider allow the study of rare processes of the Standard Model with unprecedented precision. Measurements of rare SM processes provide new tests of the SM predictions with the potential to unveil discrepancies with the SM predictions or provide important input for the improvement of theoretical calculations. [...]
ATL-PHYS-SLIDE-2026-123.-
Geneva : CERN, 2026 - 12 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
|
Rekord szczegółowy
|
2026-05-19 15:15 |
Rekord szczegółowy
|
2026-05-18 21:48 |
Rekord szczegółowy
|
2026-05-18 21:20 |
Training and Deployment of Transformers in ATLAS
/ Zaio, Alessandro (INFN e Universita Genova (IT))
/ATLAS Collaboration
Transformer architectures have rapidly become the state-of-the-art approach for machine-learning models across many domains in science, offering unprecedented performance on complex, high-dimensional tasks. Their adoption within the ATLAS experiment, starting with their usage for flavour tagging, has opened new opportunities, but also introduced substantial challenges regarding large-scale training, infrastructure integration, and deployment within established software and production system of ATLAS. [...]
ATL-SOFT-SLIDE-2026-120.-
Geneva : CERN, 2026 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
|
Rekord szczegółowy
|
2026-05-18 15:57 |
Rekord szczegółowy
|
2026-05-18 15:54 |
Rekord szczegółowy
|
|
|