424 citations · 860 across the 26 of their papers we have counts for
9 papers · 1 filter
Dffusion: Capturing the Beam-Beam Physics of Collisions with Diffusion Models
Antonio Chahine, Mariarosaria D'Alfonso, Jan Eysermans +10
Beam-induced backgrounds at high-luminosity colliders, such as the FCC-ee, are dominated by incoherent pair creation (IPC), and require computationally expensive simulatio…
Particle-Lund Multimodality in Jet Taggers
Loukas Gouskos, Benedikt Maier
The Lund plane offers a physics-motivated, hierarchical representation of QCD radiation within jets, while transformer-based taggers have reached state-of-the-art performance by le…
Autonomous Discovery of Particle Physics Theories from Experimental Data
Stephon Alexander, Benjamin Bradley, Loukas Gouskos +1
The search for physics beyond the Standard Model is hindered by a combinatorial explosion of possible theories. We introduce \textsc{Albert}, a neuro-symbolic artificial intelligen…
Les Houches 2023: Physics at TeV Colliders: Standard Model Working Group Report
J. Andersen, B. Assi, K. Asteriadis +81
This report presents a short summary of the activities of the "Standard Model" working group for the "Physics at TeV Colliders" workshop (Les Houches, France, 12-30 June, 2023).
Focus topics for the ECFA study on Higgs / Top / EW factories
Jorge de Blas, Patrick Koppenburg, Jenny List +105
In order to stimulate new engagement and trigger some concrete studies in areas where further work would be beneficial towards fully understanding the physics potential of an $e^+e…
Optimal transport for a novel event description at hadron colliders
Loukas Gouskos, Fabio Iemmi, Sascha Liechti +3
We propose a novel strategy for disentangling proton collisions at hadron colliders such as the LHC that considerably improves over the current state of the art. Employing a metric…
Jets and Jet Substructure at Future Colliders
Ben Nachman, Salvatore Rappoccio, Nhan Tran +24
Even though jet substructure was not an original design consideration for the Large Hadron Collider (LHC) experiments, it has emerged as an essential tool for the current physics p…
The Machine Learning Landscape of Top Taggers
G. Kasieczka, T. Plehn, A. Butter +24
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established metho…
ParticleNet: Jet Tagging via Particle Clouds
Huilin Qu, Loukas Gouskos
How to represent a jet is at the core of machine learning on jet physics. Inspired by the notion of point clouds, we propose a new approach that considers a jet as an unordered set…