70 citations · 413 across the 32 of their papers we have counts for
36 papers
Final assessment of radioactive impurities in the JUNO detector
Thomas Adam, Fengpeng An, Costas Andreopoulos +569
The Jiangmen Underground Neutrino Observatory (JUNO) collaboration has completed the construction of the 20,000-ton liquid scintillator detector and the associated muon veto detect…
A Low-energy Threshold and Multi-messenger Trigger System for the JUNO Experiment
Thomas Adam, Fengpeng An, Costas Andreopoulos +563
The Jiangmen Underground Neutrino Observatory (JUNO) is a 20-kiloton liquid scintillator neutrino detector, located 650 meters (1800 m.w.e.) underground in Jiangmen, Guangdong, Chi…
Towards Tensor Network Models for Low-Latency Jet Tagging on FPGAs
Alberto Coppi, Ema Puljak, Lorenzo Borella +6
We present a systematic study of Tensor Network (TN) models $\unicode{x2013}$ Matrix Product States (MPS) and Tree Tensor Networks (TTN) $\unicode{x2013}$ for real-time jet tagging…
Prospects for geoneutrino detection with JUNO
Thomas Adam, Shakeel Ahmad, Rizwan Ahmed +625
Geoneutrinos, which are antineutrinos emitted during the decay of long-lived radioactive elements inside Earth, serve as a unique tool for studying the composition and heat budget…
Design, waterproofing, and mass production of the 3-inch PMT frontend system of JUNO
Jilei Xu, Miao He, Cédric Cerna +628
Over 25,600 3-inch photomultiplier tubes (PMTs) have been instrumented for the central detector of the Jiangmen Underground Neutrino Observatory. Each PMT is equipped with a high-v…
Simulation of the Background from CO Reaction in the JUNO Scintillator
JUNO Collaboration, Thomas Adam, Kai Adamowicz +627
Large-scale organic liquid scintillator detectors are highly efficient in the detection of MeV-scale electron antineutrinos. These signal events can be detected through inverse bet…
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
Lorenzo Borella, Alberto Coppi, Jacopo Pazzini +4
Tensor Networks (TNs) are a computational paradigm used for representing quantum many-body systems. Recent works have shown how TNs can also be applied to perform Machine Learning…
Distillation and Stripping purification plants for JUNO liquid scintillator
C. Landini, M. Beretta, P. Lombardi +64
The optical and radiochemical purification of the scintillating liquid, which will fill the central detector of the JUNO experiment, plays a crucial role in achieving its scientifi…
Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
A. Gavrikov, V. Cerrone, A. Serafini +65
Several neutrino detectors, KamLAND, Daya Bay, Double Chooz, RENO, and the forthcoming large-scale JUNO, rely on liquid scintillator to detect reactor antineutrino interactions. In…
Refractive index in the JUNO liquid scintillator
H. S. Zhang, M. Beretta, S. Cialdi +73
In the field of rare event physics, it is common to have huge masses of organic liquid scintillator as detection medium. In particular, they are widely used to study neutrino prope…
Potential to identify neutrino mass ordering with reactor antineutrinos at JUNO
JUNO Collaboration, Angel Abusleme, Thomas Adam +622
The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose neutrino experiment under construction in South China. This paper presents an updated estimate of JUNO's sen…
JUNO Sensitivity to Invisible Decay Modes of Neutrons
JUNO Collaboration, Angel Abusleme, Thomas Adam +651
We explore the decay of bound neutrons into invisible particles (e.g., or ) in the JUNO liquid scintillator detector, which do not produce an…
Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection
Gaia Grosso, Nicolò Lai, Matteo Migliorini +4
This work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from a particle detector. The pr…
The Design and Technology Development of the JUNO Central Detector
The JUNO Collaboration
The Jiangmen Underground Neutrino Observatory (JUNO) is a large scale neutrino experiment with multiple physics goals including deter mining the neutrino mass hierarchy, the accura…
Analysis of reactor burnup simulation uncertainties for antineutrino spectrum prediction
A. Barresi, M. Borghesi, A. Cammi +64
Nuclear reactors are a source of electron antineutrinos due to the presence of unstable fission products that undergo decay. They will be exploited by the JUNO experiment to…
Real-time Monitoring for the Next Core-Collapse Supernova in JUNO
Angel Abusleme, Thomas Adam, Shakeel Ahmad +623
The core-collapse supernova (CCSN) is considered one of the most energetic astrophysical events in the universe. The early and prompt detection of neutrinos before (pre-SN) and dur…
JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo
JUNO Collaboration, Angel Abusleme, Thomas Adam +596
We discuss JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo via detecting inverse beta decay reactions of electron anti-neutrinos resulting from the ann…
The JUNO experiment Top Tracker
JUNO Collaboration, Angel Abusleme, Thomas Adam +609
The main task of the Top Tracker detector of the neutrino reactor experiment Jiangmen Underground Neutrino Observatory (JUNO) is to reconstruct and extrapolate atmospheric muon tra…
JUNO sensitivity to Be, , and CNO solar neutrinos
Angel Abusleme, Thomas Adam, Shakeel Ahmad +609
The Jiangmen Underground Neutrino Observatory (JUNO), the first multi-kton liquid scintillator detector, which is under construction in China, will have a unique potential to perfo…
Implementation and performances of the IPbus protocol for the JUNO Large-PMT readout electronics
Riccardo Triozzi, Andrea Serafini, Marco Bellato +129
The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. Thanks to the tight requirements on its optical and radio-p…
The Analytical Method algorithm for trigger primitives generation at the LHC Drift Tubes detector
G. Abbiendi, J. Alcaraz Maestre, A. Álvarez Fernández +143
The Compact Muon Solenoid (CMS) experiment prepares its Phase-2 upgrade for the high-luminosity era of the LHC operation (HL-LHC). Due to the increase of occupancy, trigger latency…
Mass testing of the JUNO experiment 20-inch PMTs readout electronics
Alberto Coppi, Beatrice Jelmini, Marco Bellato +129
The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose, large size, liquid scintillator experiment under construction in China. JUNO will perform leading measureme…
Validation and integration tests of the JUNO 20-inch PMTs readout electronics
Vanessa Cerrone, Katharina von Sturm, Marco Bellato +127
The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. JUNO will be able to study the neutrino mass ordering and t…
JUNO Sensitivity on Proton Decay Searches
JUNO Collaboration, Angel Abusleme, Thomas Adam +602
The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on…