Implicit quantile networks for emulation in jet physics

Journal Article · 23 December 2024 · Machine Learning: Science and Technology

DOI: https://doi.org/10.1088/2632-2153/ad9884 · OSTI ID:2483771

Kronheim, Braden ; Al Kadhim, Ali ; Kuchera, Michelle P. ; Prosper, Harrison B.; Ramanujan, Raghuram

Abstract 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 Delphes , while also enabling faster jet simulation.

• Sponsoring Organization: USDOE
• Grant/Contract Number: SC0010102
• OSTI ID: 2483771
• Journal Information: Machine Learning: Science and Technology, Journal Name: Machine Learning: Science and Technology Journal Issue: 4 Vol. 5; ISSN 2632-2153
• Publisher: IOP PublishingCopyright Statement
• Country of Publication: United Kingdom
• Language: English