activity
20192026
most citedTAO Conceptual Design Report: A Precision Measurement of the Reactor Antineutrino Spectrum with Sub-percent Energy Resolution

70 citations · 395 across the 25 of their papers we have counts for

collaborators

31 papers

physics.ins-det2026

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…

hep-ex2026

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…

hep-ex2025

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…

physics.ins-det2025

Doping of a Borexino-like Liquid Scintillator with Tellurium-Diols

Hans Th. J. Steiger, Marco Beretta, Manuel Böhles +8

One promising approach for future neutrinoless double beta decay () searches is the incorporation of candidate isotopes into liquid scintillator detectors. In this work, a sa…

physics.ins-det2025★ 1 cited

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…

physics.data-an2025

Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning

A. Gavrikov, A. Serafini, D. Dolzhikov +63

Precise modeling of detector energy response is crucial for next-generation neutrino experiments which present computational challenges due to lack of analytical likelihoods. We pr…