This work illustrates a new configuration mechanism for algorithms in ATLAS analysis, enhancing user interaction and stability.
In the ATLAS analysis model, users 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 are discussed.<ns0:xref ref-type="corresp" rid="FN7">§</ns0:xref>
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Lambert et al. (2025) studied this question.
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