CERN Accelerating science

ATLAS Slides
Report number	ATL-SOFT-SLIDE-2024-543
Title	A simplified configuration for common algorithms for ATLAS analysis
Author(s)	Lambert, Joseph Earl (University of Victoria (CA)) ; Krumnack, Nils Erik (Iowa State University (US)) ; Martinez Outschoorn, Verena Ingrid (University of Massachusetts (US)) ; Russell, Heather (University of Victoria (CA)) ; Leight, William Axel (University of Massachusetts (US)) ; Maroun, Matthew Kenneth (University of Massachusetts (US))
Corporate author(s)	The ATLAS collaboration
Collaboration	ATLAS Collaboration
Submitted to	27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
Submitted by	mmaroun@umass.edu on 06 Nov 2024
Subject category	Particle Physics - Experiment
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Free keywords	Software ; Computing ; Combined Performance
Abstract	In the ATLAS analysis model, users must interact with specialized algorithms to perform a variety of tasks on their physics objects including calibration, identification, and obtaining systematic uncertainties for simulated events. These algorithms have a wide variety of configurations, and often must be applied in specific orders. A user-friendly configuration mechanism has been developed with the goal of improving the user experience from the perspective of both ease-of-use and stability. Users can now configure necessary algorithms via a YAML file, enabled by a physics-oriented python configuration. The configuration mechanism and training will be discussed.