112 citations · 1.4k across the 45 of their papers we have counts for
5 papers · 1 filter
Impact of jet-production data on the next-to-next-to-leading-order determination of HERAPDF2.0 parton distributions
H1, ZEUS Collaborations, : +234
The HERAPDF2.0 ensemble of parton distribution functions (PDFs) was introduced in 2015. The final stage is presented, a next-to-next-to-leading-order (NNLO) analysis of the HERA da…
Online-compatible Unsupervised Non-resonant Anomaly Detection
Vinicius Mikuni, Benjamin Nachman, David Shih
There is a growing need for anomaly detection methods that can broaden the search for new particles in a model-agnostic manner. Most proposals for new methods focus exclusively on…
Presenting Unbinned Differential Cross Section Results
Miguel Arratia, Anja Butter, Mario Campanelli +10
Machine learning tools have empowered a qualitatively new way to perform differential cross section measurements whereby the data are unbinned, possibly in many dimensions. Unbinne…
Point Cloud Transformers applied to Collider Physics
Vinicius Mikuni, Florencia Canelli
Methods for processing point cloud information have seen a great success in collider physics applications. One recent breakthrough in machine learning is the usage of Transformer n…
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
Gregor Kasieczka, Benjamin Nachman, David Shih +44
A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. I…