GEANT4 simulation of the neutron background of the C$_6$D$_6$ set-up for capture studies at n_TOF
n_TOF collaboration: P. \v{Z}ugec, N. Colonna, D. Bosnar, S. Altstadt,, J. Andrzejewski, L. Audouin, M. Barbagallo, V. B\'ecares, F., Be\v{c}v\'a\v{r}, F. Belloni, E. Berthoumieux, J. Billowes, V. Boccone, M., Brugger, M. Calviani, F. Calvi\~no, D. Cano-Ott, C. Carrapi\c{c}o, F.

TL;DR
This study uses detailed GEANT4 simulations to analyze and validate the neutron background in the C$_6$D$_6$ detector setup at n_TOF, highlighting the importance of accurate background modeling for capture cross section measurements.
Contribution
The paper presents a comprehensive GEANT4 simulation of the n_TOF experimental hall, including validation against measurements and analysis of neutron background components, improving background estimation methods.
Findings
Excellent agreement between simulation and measurement above 1 keV.
Discovery of an additional background component below a few hundred eV.
Demonstration of the importance of accurate background simulations for capture measurements.
Abstract
The neutron sensitivity of the CD detector setup used at n_TOF for capture measurements has been studied by means of detailed GEANT4 simulations. A realistic software replica of the entire n_TOF experimental hall, including the neutron beam line, sample, detector supports and the walls of the experimental area has been implemented in the simulations. The simulations have been analyzed in the same manner as experimental data, in particular by applying the Pulse Height Weighting Technique. The simulations have been validated against a measurement of the neutron background performed with a C sample, showing an excellent agreement above 1 keV. At lower energies, an additional component in the measured C yield has been discovered, which prevents the use of C data for neutron background estimates at neutron energies below a few hundred eV.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
