Speaker
Matthew Kenneth Maroun
(University of Massachusetts (US))
Description
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.
Primary authors
Heather Russell
(University of Victoria)
Joseph Earl Lambert
(University of Victoria (CA))
Matthew Kenneth Maroun
(University of Massachusetts (US))
Nils Erik Krumnack
(Iowa State University (US))
Verena Ingrid Martinez Outschoorn
(University of Massachusetts (US))
William Axel Leight
(University of Massachusetts Amherst)
