22 citations · 89 across the 28 of their papers we have counts for
4 papers · 1 filter
EveNet: A Foundation Model for Particle Collision Data Analysis
Ting-Hsiang Hsu, Bai-Hong Zhou, Qibin Liu +8
While deep learning is transforming data analysis in high-energy physics, computational challenges limit its potential. We address these challenges in the context of collider physi…
Unbinned measurement of thrust in collisions at = 91.2 GeV with ALEPH archived data
The Electron-Positron Alliance, :, Anthony Badea +17
The strong coupling constant () is a fundamental parameter of quantum chromodynamics (QCD), the theory of the strong force. Some of the earliest precise constraints on $α_{S…
Analysis note: measurement of thrust in collisions at = 91 GeV with archived ALEPH data
Anthony Badea, Austin Baty, Hannah Bossi +15
A measurement of the thrust distribution in collisions at GeV with archived data from the ALEPH experiment at the Large Electron-Positron Collider is…
Conditional Deep Generative Models for Simultaneous Simulation and Reconstruction of Entire Events
Etienne Dreyer, Eilam Gross, Dmitrii Kobylianskii +2
We extend the Particle-flow Neural Assisted Simulations (Parnassus) framework of fast simulation and reconstruction to entire collider events. In particular, we use two generative…