2 citations · 4 across the 5 of their papers we have counts for
5 papers
Electromagnetic Shower Reconstruction and Identification in FASER's Emulsion Detector for LHC Forward Neutrino Measurements
FASER Collaboration, Roshan Mammen Abraham, Xiaocong Ai +132
We present methods for electromagnetic shower reconstruction and identification in the FASERnu emulsion detector using 100 GeV and 200 GeV electron test-beam data from the CERN SPS…
Momentum Measurement of Charged Particles in FASER's Emulsion Detector at the LHC
FASER Collaboration, Roshan Mammen Abraham, Xiaocong Ai +132
We present a momentum measurement method based on multiple Coulomb scattering (MCS) in the FASER emulsion detector. The measurement of charged-particle momenta is essential for…
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…
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…