Speaker
Manuel Szewc
Description
I'll discuss recent and ongoing developments related to the tuning and construction of machine-learning-based models of hadronization. Specifically, I will discuss efforts related to the extraction of microscopic hadronization dynamics from macroscopic 'jet-level' observables as well as efforts related to fully differentiable hadronization tunes utilizing post-hoc reweighting.
Based on 2203.04983, 2308.13459, 2311.09296 and ongoing work.
| Track | Detector simulation & event generation |
|---|
Co-authors
Ahmed Youssef
(University of Cincinnati)
Andrzej Konrad Siodmok
(Jagiellonian University (PL))
Ben Nachman
(Lawrence Berkeley National Lab. (US))
Christian Bierlich
(Lund University (SE))
Jure Zupan
(University of Cincinnati)
Manuel Szewc
Dr
Michael Kent Wilkinson
(University of Cincinnati (US))
Philip Ilten
(University of Cincinnati (US))
Stephen Mrenna
Tony Menzo
