ML Coffee: Machine Learning for Hadronization

by Dr Manuel Szewc (Cincinnati University)

Monday 26 May 2025, 15:00 → 16:00 Europe/Paris

149 (LPSC)

A fundamental part of event generation, hadronization is currently simulated with the help of fine-tuned empirical models. Motivated by the difficulties of these models, in this talk I'll present MLHAD: a proposed alternative where the empirical model is replaced by a surrogate Machine Learning-based model to be ultimately data-trainable. I'll detail the current stage of development and discuss challenges and possible ways forward.

Based on https://arxiv.org/abs/2410.06342 and https://arxiv.org/abs/2503.05667.

To join by Zoom: https://uw-edu-pl.zoom.us/j/8177536774

Meeting ID: 817 753 6774

 

LPSC_MLCoffee_Szewc.pdf