activity
20242026
most citedCalibration and simulation of ionization signal and electronics noise in the ICARUS liquid argon time projection chamber

1 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

hep-ex2026

The NOvA Test Beam Experiment

NOvA Collaboration, S. Abubakar, M. A. Acero +208

NOvA is a long-baseline neutrino oscillation experiment designed to study the neutrino mixing parameters, mass ordering, and CP violation in the lepton sector. A key component of t…

hep-ex2026

Measurement of muon (anti-)neutrino charged-current quasielastic-like cross section using off-axis NuMI beam at ICARUS

ICARUS Collaboration, F. Abd Alrahman, P. Abratenko +176

This paper presents the first neutrino cross-section measurement from the ICARUS detector at Fermilab, using NuMI (Neutrinos at the Main Injector) beam data collected from two beam…

hep-ex2025

Cryogenics and purification systems of the ICARUS T600 detector installation at Fermilab

F. Abd Alrahman, P. Abratenko, N. Abrego-Martinez +194

This paper describes the cryogenic and purification systems of the ICARUS T600 detector in its present implementation at the Fermi National Laboratory, Illinois, USA. The ICARUS T6…

physics.ins-det2024

Angular dependent measurement of electron-ion recombination in liquid argon for ionization calorimetry in the ICARUS liquid argon time projection chamber

ICARUS collaboration, P. Abratenko, N. Abrego-Martinez +178

This paper reports on a measurement of electron-ion recombination in liquid argon in the ICARUS liquid argon time projection chamber (LArTPC). A clear dependence of recombination o…

hep-ex20241 cited

Calibration and simulation of ionization signal and electronics noise in the ICARUS liquid argon time projection chamber

ICARUS collaboration, P. Abratenko, N. Abrego-Martinez +178

The ICARUS liquid argon time projection chamber (LArTPC) neutrino detector has been taking physics data since 2022 as part of the Short-Baseline Neutrino (SBN) Program. This paper…

cs.LG20241 cited

Augmented CARDS: A machine learning approach to identifying triggers of climate change misinformation on Twitter

Cristian Rojas, Frank Algra-Maschio, Mark Andrejevic +3

Misinformation about climate change poses a significant threat to societal well-being, prompting the urgent need for effective mitigation strategies. However, the rapid proliferati…