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Robust State Estimation from Partial Out-Core Measurements with Shallow Recurrent Decoder for Nuclear Reactors
Stefano Riva, Carolina Introini, Antonio Cammi +1
Reliable, real-time state estimation in nuclear reactors is of critical importance for monitoring, control and safety. It further empowers the development of digital twins that are…
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…
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…
Multi-Physics Model Bias Correction with Data-Driven Reduced Order Modelling Techniques: Application to Nuclear Case Studies
Stefano Riva, Carolina Introini, Antonio Cammi
Nowadays, interest in combining mathematical knowledge about phenomena and data from the physical system is growing. Past research was devoted to developing so-called high-fidelity…