From Lagrangian to Histogram: Monte Carlo Modelling in LHC Experiments

by Prof. Evgeny Soldatov (Moscow Engineering Physics Institute)

Wednesday 9 Sept 2026, 14:00 → 15:00 Asia/Shanghai

Tsung-Dao Lee Institute/N4F-N400 - meeting room (Tsung-Dao Lee Institute)

Abstract:

Modern particle physics experiments search for deviations of data from theoretical predictions. However, before any comparison can be made, predictions must undergo a long journey — from Lagrangian and Feynman rules to distributions reconstructed after detector simulation. This lecture offers an experimentalist's perspective on the full Monte Carlo production chain that underpins virtually every LHC analysis. I will discuss how signal and background are modelled using popular MC generators, describe the standard simulation chain, and highlight practical techniques that can dramatically reduce simulation time. In conclusion, special attention will be given to why some generators are chosen over others in real analyses, and how human factors — manpower and deadlines — influence MC sample choices in practice.

Biography:

Prof. Evgeny Soldatov studied particle physics at the Moscow Engineering Physics Institute, Russia, where he received his PhD in 2017. He held positions of Research Scientist, Assistant Professor, and Associate Professor at the same institute, where he has been teaching graduate and undergraduate courses for many years. Since 2008, he has been a member of the ATLAS experiment at CERN, working within the Standard Model, Egamma, and Heavy Ions scientific groups. From 2020 to 2022, he served as Convener of the PhotonID Egamma group in ATLAS. Since 2026, he has been serving as Deputy Physics Coordinator of the SPD experiment at JINR. His current research focuses on electroweak multiboson production, effective field theory phenomenology, and particle reconstruction and identification algorithms. Prof. Soldatov is the head of two educational programs in Russia and Kazakhstan, and co-chair of the Organizing Committee of the International Conference on Particle Physics and Astrophysics.

 

Alternative online link: https://meeting.tencent.com/dm/rhzEBsxLmbs3

ID: 159140572