A Lorentz-Equivariant Transformer for All of the LHC

1 code implementation • 1 Nov 2024 • Johann Brehmer, Víctor Bresó, Pim de Haan, Tilman Plehn, Huilin Qu, Jonas Spinner, Jesse Thaler

We show that the Lorentz-Equivariant Geometric Algebra Transformer (L-GATr) yields state-of-the-art performance for a wide range of machine learning tasks at the Large Hadron Collider.

All

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation

no code implementations • 28 Oct 2024 • Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-Gonzalez, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang

We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge.

BUFF: Boosted Decision Tree based Ultra-Fast Flow matching

1 code implementation • 28 Apr 2024 • Cheng Jiang, Sitian Qian, Huilin Qu

Tabular data stands out as one of the most frequently encountered types in high energy physics.

Particle Transformer for Jet Tagging

1 code implementation • 8 Feb 2022 • Huilin Qu, Congqiao Li, Sitian Qian

Based on the large dataset, we propose a new Transformer-based architecture for jet tagging, called Particle Transformer (ParT).

Jet Tagging

Jet tagging in the Lund plane with graph networks

1 code implementation • 15 Dec 2020 • Frédéric A. Dreyer, Huilin Qu

The identification of boosted heavy particles such as top quarks or vector bosons is one of the key problems arising in experimental studies at the Large Hadron Collider.

Jet Tagging

ParticleNet: Jet Tagging via Particle Clouds

6 code implementations • 22 Feb 2019 • Huilin Qu, Loukas Gouskos

How to represent a jet is at the core of machine learning on jet physics.

BIG-bench Machine Learning Jet Tagging