33 citations · 102 across the 15 of their papers we have counts for
15 papers
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks
Arnau Albà, Andreas Adelmann, Lucas Münster +2
The accurate calculation and uncertainty quantification of the characteristics of spent nuclear fuel (SNF) play a crucial role in ensuring the safety, efficiency, and sustainabilit…
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 -,…
Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification
Arnau Albà, Romana Boiger, Dimitri Rochman +1
Uncertainty quantification (UQ) is an active area of research, and an essential technique used in all fields of science and engineering. The most common methods for UQ are Monte Ca…
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…
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…
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-…