From the 1 of 25 linked papers with an AI index.
2 citations · 2 across the 4 of their papers we have counts for
25 papers
A Bayesian approach to the long-baseline neutrino oscillation sensitivity of DUNE
DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1278
The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is evaluated using a Bayesian Markov Chain Monte Carlo (MCMC) approach. This analysis use…
The Darkside-20k Data Acquisition System
Fabio Acerbi, Pushparaj Adhikari, Paolo Agnes +289
The paper describes the data acquisition (DAQ) system for the DarkSide‑20k liquid‑argon dark‑matter detector, which uses continuous, trigger‑less digitisation of 2720 SiPM channels…
New limits on the Pauli forbidden transitions in 12C nuclei obtained with the complete Borexino dataset
Borexino collaboration, D. Basilico, G. Bellini +70
The Pauli exclusion principle (PEP) was tested for nucleons in nuclei using the Borexino dataset from 2007 to 2021. %the complete Borexino detector data. The approach…
Operation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1318
The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) n…
First Measurement of -Ar and -Ar Total Inelastic Cross Sections in the Sub-GeV Energy Regime with ProtoDUNE-SP Data
DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1346
The ProtoDUNE-SP detector, a kiloton-scale prototype for the Deep Underground Neutrino Experiment (DUNE) far detector, is the largest liquid argon time projection chamber built to…
Sensitivity to low-mass WIMPs with an improved liquid argon ionization response model within the DarkSide programme
F. Acerbi, P. Adhikari, P. Agnes +294
Dark matter detection experiments using liquid argon rely on a precise characterization of the ionization response to nuclear recoils, especially in the keV energy range relevant f…