Séminaires et colloques
ML Coffee: Machine Learning for Hadronization
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Europe/Paris
149 (LPSC)
149
LPSC
Description
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
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ML Coffee
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