319 citations · 1.6k across the 35 of their papers we have counts for
6 papers · 1 filter
Track Seeding and Labelling with Embedded-space Graph Neural Networks
Nicholas Choma, Daniel Murnane, Xiangyang Ju +16
To address the unprecedented scale of HL-LHC data, the Exa.TrkX project is investigating a variety of machine learning approaches to particle track reconstruction. The most promisi…
The GlueX Beamline and Detector
S. Adhikari, C. S. Akondi, H. Al Ghoul +187
The GlueX experiment at Jefferson Lab has been designed to study photoproduction reactions with a 9-GeV linearly polarized photon beam. The energy and arrival time of beam photons…
Supernova neutrino detection in NOvA
NOvA Collaboration, M. A. Acero, P. Adamson +199
The NOvA long-baseline neutrino experiment uses a pair of large, segmented, liquid-scintillator calorimeters to study neutrino oscillations, using GeV-scale neutrinos from the Ferm…
Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors
Xiangyang Ju, Steven Farrell, Paolo Calafiura +20
Pattern recognition problems in high energy physics are notably different from traditional machine learning applications in computer vision. Reconstruction algorithms identify and…
Observation of seasonal variation of atmospheric multiple-muon events in the NOvA Near Detector
M. A. Acero, P. Adamson, L. Aliaga +188
Using two years of data from the NOvA Near Detector at Fermilab, we report a seasonal variation of cosmic ray induced multiple-muon event rates which has an opposite phase to the s…
A study of decays to strange final states with GlueX in Hall D using components of the BaBar DIRC
The GlueX Collaboration, M. Dugger, B. Ritchie +103
We propose to enhance the kaon identification capabilities of the GlueX detector by constructing an FDIRC (Focusing Detection of Internally Reflected Cherenkov) detector utilizing…