Implicit Quantile Networks For Emulation in Jet Physics

The ability to model and sample from conditional densities is important in many physics applications. Implicit quantile networks (IQN) have been successfully applied to this task in domains outside physics. In this work, we illustrate the potential of IQNs as components of emulators using the simula...

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Bibliographic Details
Published in:arXiv.org 2024-12
Main Authors: Kronheim, B, A Al Kadhim, Kuchera, M P, Prosper, H B, Ramanujan, R
Format: Article
Language:English
Subjects:
Jets
Online Access:Get full text
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Summary:The ability to model and sample from conditional densities is important in many physics applications. Implicit quantile networks (IQN) have been successfully applied to this task in domains outside physics. In this work, we illustrate the potential of IQNs as components of emulators using the simulation of jets as an example. Specifically, we use an IQN to map jets described by their 4-momenta at the generation level to jets at the event reconstruction level. The conditional densities emulated by our model closely match those generated by \(\texttt{Delphes}\), while also enabling faster jet simulation.
ISSN:2331-8422
DOI:10.48550/arxiv.2306.15053