TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCore.8.3.060
TI  - Advancing tools for simulation-based inference
PY  - 2025/09/29
UR  - https://www.scipost.org/SciPostPhysCore.8.3.060
JF  - SciPost Physics Core
JA  - SciPost Phys. Core
VL  - 8
IS  - 3
SP  - 060
A1  - Bahl, Henning
AU  - Bresó-Pla, Víctor
AU  - De Crescenzo, Giovanni
AU  - Plehn, Tilman
AB  - We study the benefit of modern simulation-based inference to constrain particle interactions at the LHC. We explore ways to incorporate known physics structures into likelihood estimation, specifically morphing-aware estimation and derivative learning. Technically, we introduce a new and more efficient smearing algorithm, illustrate how uncertainties can be approximated through repulsive ensembles, and show how equivariant networks can improve likelihood estimation. After illustrating these aspects for a toy model, we target di-boson production at the LHC and find that our improvements significantly increase numerical control and stability.
ER  -

@Article{10.21468/SciPostPhysCore.8.3.060,
	title={{Advancing tools for simulation-based inference}},
	author={Henning Bahl and Victor Bresó-Pla and Giovanni De Crescenzo and Tilman Plehn},
	journal={SciPost Phys. Core},
	volume={8},
	pages={060},
	year={2025},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCore.8.3.060},
	url={https://scipost.org/10.21468/SciPostPhysCore.8.3.060},
}