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KIAS QUC-AIHEP seminars

[Seminar] R. Winterhalder

by Dr Ramon Winterhalder (CP3, UCLouvain, Belgium)

→ Asia/Seoul
1423 in building 1 (KIAS)

1423 in building 1

KIAS
Description

Title : MadNIS - Neural networks for multi-channel integration

Speaker : Dr. R. Winterhalder  (CP3, UCLouvain, Belgium)

Abstract : Theory predictions for the LHC require precise numerical phase-space integration and generation of unweighted events. We combine machine-learned multi-channel weights with a normalizing flow for importance sampling to improve classical methods for numerical integration.  We develop an efficient bi-directional setup based on an invertible network, combining online and buffered training for potentially expensive integrands. We illustrate our method for the Drell-Yan process with an additional narrow resonance. In addition to these results from our paper (https://arxiv.org/abs/2212.06172), MadNIS now interfaces with MadGraph, and I will present preliminary results from our upcoming comparison between MadNIS and classical MadGraph for various LHC processes.


 

madnis_rw.pdf
Video
Videoconference
[Seminar] R. Winterhalder
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Zoom Meeting ID
88219049938
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KIAS HEP-PH Organizer
Passcode
80156087
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