activity
20232026
most citedAnalysis of reactor burnup simulation uncertainties for antineutrino spectrum prediction

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

physics.ins-det2026

Ultra-trace analysis of 40K in organic liquid scintillators

A. Barresi, D. Chiesa, D. Merli +64

Rare-event searches require exceptionally low background levels, motivating the development of increasingly sophisticated screening methods to push sensitivity limits. Liquid scint…

physics.ins-det2026

Real-Time Wiener Deconvolution for feature reconstruction in JUNO

L. Lastrucci, M. Grassi, A. Triossi +74

In particle physics, experiments generate substantial amounts of data that can be difficult to process without preliminary scaling. To avoid losing potentially crucial data, experi…

physics.ins-det2025

Ultra-trace analysis of U and Th in organic liquid scintillators with high sensitivity

A. Barresi, D. Chiesa, D. Merli +63

Rare event searches demand extremely low background levels, necessitating ever-advancing screening techniques to enhance sensitivity. Liquid scintillators are highly attractive as…

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…

physics.ins-det2023★ 2 cited

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…