activity
20212025
most citedVertex and Energy Reconstruction in JUNO with Machine Learning Methods

48 citations · 116 across the 5 of their papers we have counts for

collaborators

5 papers

nucl-ex2025★ 27 cited

Advances in Radiative Capture Studies at LUNA with a Segmented BGO Detector

Jakub Skowronski, Riccardo Maria Gesuè, Axel Boeltzig +43

Studies of charged-particle reactions for low-energy nuclear astrophysics require high sensitivity, which can be achieved by means of detection setups with high efficiency and low…

nucl-ex2023★ 1 cited

First measurement of the low-energy direct capture in 20Ne(p, γ)21Na and improved energy and strength of the Ecm = 368 keV resonance

E. Masha, L. Barbieri, J. Skowronski +48

The reaction is the slowest in the NeNa cycle and directly affects the abundances of the Ne and Na isotopes in a variety of astrophysical sites. Her…

nucl-ex2023★ 24 cited

New proton-capture rates on carbon isotopes and their impact on the astrophysical ratio

J. Skowronski, A. Boeltzig, G. F. Ciani +43

The ratio is a significant indicator of nucleosynthesis and mixing processes during hydrogen burning in stars. Its value mainly depends on the…

nucl-ex2022★ 16 cited

Underground Measurements of Nuclear Reaction Cross-Sections Relevant to AGB Stars

Chemseddine Ananna, Francesco Barile, Axel Boeltzig +11

Nuclear reaction cross sections are essential ingredients to predict the evolution of AGB stars and understand their impact on the chemical evolution of our Galaxy. Unfortunately,…

physics.ins-det2021★ 48 cited

Vertex and Energy Reconstruction in JUNO with Machine Learning Methods

Zhen Qian, Vladislav Belavin, Vasily Bokov +20

The Jiangmen Underground Neutrino Observatory (JUNO) is an experiment designed to study neutrino oscillations. Determination of neutrino mass ordering and precise measurement of ne…