RT Journal Article
T1 Development of a PID algorithm for the CALIFA detector to study multinucleon knockout reactions in exotic nuclei
A1 Feijoo Fontán, Martina
A1 Barrière, Antoine
A1 Mozumdar, Nikhil
A1 Álvarez Pol, Héctor
A1 Rodríguez Sánchez, José Luis
A1 Sorlin, Olivier
A1 Benlliure Anaya, José
A1 Cortina Gil, María Dolores
K1 Knockout reactions
K1 R3B
K1 GSI-FAIR
AB Previous studies have shown a reduction in cross sections relative to theoretical predictions for single-nucleon knockout reactions, with varying conclusions about the dependence of this reduction on the N/Z ratio of the projectile. The (p,pX) knockout reactions studied with the R3B setup offer a unique opportunity for kinematically complete measurements using inverse kinematics. This work focuses on the development of an algorithm for performing particle identification using the CALIFA detector, of vital importance for the study of knocked-out clusters such as deuterium.
PB Elsevier
SN 0375-9474
YR 2025
FD 2025-07
LK https://hdl.handle.net/10347/43069
UL https://hdl.handle.net/10347/43069
LA eng
NO Feijoo Fontán, M., Barrière, A., Mozumdar, N., Álvarez Pol, H., Rodríguez Sánchez, J.L., Sorlin, O., Benlliure, J., Cortina Gil, D. and the R3B collaboration. Development of a PID algorithm for the CALIFA detector to study multinucleon knockout reactions in exotic nuclei. Nuclear Physics A, 1059, 1-4. https://doi.org/10.1016/j.nuclphysa.2025.123103
NO We thank the support from the María de Maeztu Grant CEX2023-001318-M, funded by MICIU/AEI/ 10.13039/501100011033. This work has received financial support from the Xunta de Galicia (CIGUS Network of Research Centres, Programa de axudas á etapa predoutoral Grant No. ED481A-2023-049), and by the Spanish Funding Agency for Research through Projects PGC2018-099746-BC21 and PID2021-125771NB-C21. J.L.R.-S. is thankful for the support by the Regional Government of Galicia under the program “Proyectos de excelencia'' Grant No. ED431F-2023/43 and by the Ramón y Cajal program under the Grant No. RYC2021-031989-I, funded by MCIN/AEI/10.13039/501100011033 and by European Union NextGenerationEU/PRTR. This work has been supported by the European Community Horizon 2020 - research and innovation programme, contract STRONG-2020 n° 824093.
DS Minerva
RD 24 abr 2026