Search Results for author: Marco Lazzarin

Found 1 papers, 1 papers with code

MCNNTUNES: tuning Shower Monte Carlo generators with machine learning

1 code implementation5 Oct 2020 Marco Lazzarin, Simone Alioli, Stefano Carrazza

The parameters tuning of event generators is a research topic characterized by complex choices: the generator response to parameter variations is difficult to obtain on a theoretical basis, and numerical methods are hardly tractable due to the long computational times required by generators.

Computational Physics High Energy Physics - Experiment High Energy Physics - Phenomenology

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