TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCore.5.1.001
TI  - BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators
PY  - 2022/01/17
UR  - https://www.scipost.org/SciPostPhysCore.5.1.001
JF  - SciPost Physics Core
JA  - SciPost Phys. Core
VL  - 5
IS  - 1
SP  - 001
A1  - Wang, Wenjing
AU  - Krishnamoorthy, Mohan
AU  - Muller, Juliane
AU  - Mrenna, Stephen
AU  - Schulz, Holger
AU  - Ju, Xiangyang
AU  - Leyffer, Sven
AU  - Marshall, Zachary
AB  - The parameters in Monte Carlo (MC) event generators are tuned on experimental measurements by evaluating the goodness of fit between the data and the MC predictions. The relative importance of each measurement is adjusted manually in an often time-consuming, iterative process to meet different experimental needs. In this work, we introduce several optimization formulations and algorithms with new decision criteria for streamlining and automating this process. These algorithms are designed for two formulations: bilevel optimization and robust optimization. Both formulations are applied to the datasets used in the ATLAS A14 tune and to the dedicated hadronization datasets generated by the Sherpa generator, respectively. The corresponding tuned generator parameters are compared using three metrics. We compare the quality of our automatic tunes to the published ATLAS A14 tune. Moreover, we analyze the impact of a pre-processing step that excludes data that cannot be described by the physics models used in the MC event generators.
ER  -

@Article{10.21468/SciPostPhysCore.5.1.001,
	title={{BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators}},
	author={Wenjing Wang and Mohan Krishnamoorthy and Juliane Muller and Stephen Mrenna and Holger Schulz and Xiangyang Ju and Sven Leyffer and Zachary Marshall},
	journal={SciPost Phys. Core},
	volume={5},
	pages={001},
	year={2022},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCore.5.1.001},
	url={https://scipost.org/10.21468/SciPostPhysCore.5.1.001},
}