2 citations · 4 across the 4 of their papers we have counts for
5 papers
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…
Latest neutrino results from the FASER experiment and their implications for forward hadron production
FASER Collaboration, Roshan Mammen Abraham, Xiaocong Ai +117
The muon puzzle -- an excess of muons relative to simulation predictions in ultra-high-energy cosmic-ray air showers -- has been reported by many experiments. This suggests that fo…
Reconstruction and Performance Evaluation of FASER's Emulsion Detector at the LHC
FASER Collaboration, Roshan Mammen Abraham, Xiaocong Ai +121
This paper presents the reconstruction and performance evaluation of the FASER emulsion detector, which aims to measure interactions from neutrinos produced in the forward direc…
Prospects and Opportunities with an upgraded FASER Neutrino Detector during the HL-LHC era: Input to the EPPSU
FASER Collaboration, Roshan Mammen Abraham, Xiaocong Ai +115
The FASER experiment at CERN has opened a new window in collider neutrino physics by detecting TeV-energy neutrinos produced in the forward direction at the LHC. Building on this s…
Shining Light on the Dark Sector: Search for Axion-like Particles and Other New Physics in Photonic Final States with FASER
FASER collaboration, Roshan Mammen Abraham, Xiaocong Ai +106
The first FASER search for a light, long-lived particle decaying into a pair of photons is reported. The search uses LHC proton-proton collision data at …