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A universal vision transformer for fast calorimeter simulations
Luigi Favaro, Andrea Giammanco, Claudius Krause
The high-dimensional complex nature of detectors makes fast calorimeter simulations a prime application for modern generative machine learning. Vision transformers (ViTs) can emula…
Fast, accurate, and precise detector simulation with vision transformers
Luigi Favaro, Andrea Giammanco, Claudius Krause
The speed and fidelity of detector simulations in particle physics pose compelling questions about LHC analysis and future colliders. The sparse high-dimensional data, combined wit…
Reinterpretation and preservation of data and analyses in HEP
Jon Butterworth, Sabine Kraml, Harrison Prosper +145
Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes…
Energy-scaling behavior of intrinsic transverse momentum parameters in Drell-Yan simulation
CMS Collaboration
An analysis is presented based on models of the intrinsic transverse momentum (intrinsic ) of partons in nucleons by studying the dilepton transverse momentum in Drel…
Magnetic field imaging by cosmic-ray muons (Magic-) -- First feasibility simulation for strong magnetic fields
Tadahiro Kin, Hamid Basiri, Eduardo Cortina Gil +1
We have proposed a novel application for cosmic-ray muography, called Magic-, which is short for Magnetic field Imaging by Cosmic-ray Muons. The general goal of Magic- is to…
Exploiting exotic LHC datasets for long-lived new particle searches
Hesham El Faham, Andrea Giammanco, Jan Hajer
Motivated by the expectation that new physics may manifest itself in the form of very heavy new particles, most of the operation time of the LHC is devoted to collisions at th…