activity
20132023
most citedThe Be()Li reaction and the Cosmological Lithium Problem: measurement of the cross section in a wide energy range at n_TOF (CERN)

84 citations · 543 across the 23 of their papers we have counts for

collaborators

23 papers

nucl-ex2023★ 9 cited

First measurement of the Nb(,) cross section at the CERN n\_TOF facility

J. Balibrea-Correa, V. Babiano-Suarez, J. Lerendegui-Marco +134

One of the crucial ingredients for the improvement of stellar models is the accurate knowledge of neutron capture cross-sections for the different isotopes involved in the -,…

physics.ins-det2022★ 4 cited

The CERN n TOF NEAR station for astrophysics- and application-related neutron activation measurements

N. Patronis, A. Mengoni, N. Colonna +130

A new experimental area, the NEAR station, has recently been built at the CERN n TOF facility, at a short distance from the spallation target (1.5 m). The new area, characterized b…

nucl-ex2022★ 23 cited

Advances and new ideas for neutron-capture astrophysics experiments at CERN n_TOF

C. Domingo-Pardo, V. Babiano-Suarez, J. Balibrea-Correa +136

This article presents a few selected developments and future ideas related to the measurement of data of astrophysical interest at CERN n_TOF. The MC-aided analysis methodo…

physics.data-an2022★ 4 cited

Machine learning based event classification for the energy-differential measurement of the C(n,p) and C(n,d) reactions

P. Žugec, M. Barbagallo, J. Andrzejewski +8

The paper explores the feasibility of using machine learning techniques, in particular neural networks, for classification of the experimental data from the joint C(n,…

nucl-ex2022

High accuracy, high resolution 235U(n,f) cross section from n_TOF (CERN) in the thermal to 10 keV energy range

TOF collaboration, M. Mastromarco, S. Amaducci +119

The 235U(n,f) cross section was measured in a wide energy range (25 meV - 170 keV) at the n_TOF facility at CERN, relative to 6Li(n,t) and 10B(n,alpha) standard reactions, with hig…

physics.ins-det2020★ 33 cited

Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques

V. Babiano-Suárez, J. Lerendegui-Marco, J. Balibrea-Correa +132

i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in () cross-section measurements using time-…