activity
20032026
most citedMeasurement of the J/Psi Meson and b-Hadron Production Cross Sections in ppbar Collisions at sqrt s = 1960 GeV

699 citations · 1.9k across the 25 of their papers we have counts for

collaborators

27 papers

hep-ex2026

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457

Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…

hep-ph2022★ 5 cited

Precision QCD, Hadronic Structure & Forward QCD, Heavy Ions: Report of Energy Frontier Topical Groups 5, 6, 7 submitted to Snowmass 2021

M. Begel, S. Hoeche, M. Schmitt +47

This report was prepared on behalf of three Energy Frontier Topical Groups of the Snowmass 2021 Community Planning Exercise. It summarizes the status and implications of studies of…

hep-ex2022

Muon Collider Forum Report

K. M. Black, S. Jindariani, D. Li +182

A multi-TeV muon collider offers a spectacular opportunity in the direct exploration of the energy frontier. Offering a combination of unprecedented energy collisions in a comparat…

hep-ph2022

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…

hep-ex2022★ 1 cited

Constraints on future analysis metadata systems in High Energy Physics

T. J. Khoo, A. Reinsvold Hall, N. Skidmore +22

In High Energy Physics (HEP), analysis metadata comes in many forms -- from theoretical cross-sections, to calibration corrections, to details about file processing. Correctly appl…

physics.data-an2020★ 4 cited

Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation

Garvita Agarwal, Lauren Hay, Ia Iashvili +5

A framework is presented to extract and understand decision-making information from a deep neural network (DNN) classifier of jet substructure tagging techniques. The general metho…