Abstract
The P30(p,γ)S31 reaction plays an important role in understanding the nucleosynthesis of A≥30 nuclides in oxygen-neon novae. The Gaseous Detector with Germanium Tagging was used to measure Cl31 β-delayed proton decay through the key Jπ=3/2+, 260-keV resonance. The intensity Iβp260=8.3-0.9+1.2×10-6 represents the weakest β-delayed, charged-particle emission ever measured below 400 keV, resulting in a proton branching ratio of Γp/Γ=2.5-0.3+0.4×10-4. By combining this measurement with shell-model calculations for Γγ and past work on other resonances, the total P30(p,γ)S31 rate has been determined with reduced uncertainty. The new rate has been used in hydrodynamic simulations to model the composition of nova ejecta, leading to a concrete prediction of Si30:Si28 excesses in presolar nova grains and the calibration of nuclear thermometers.
Original language | English |
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Article number | 182701 |
Journal | Physical Review Letters |
Volume | 128 |
Issue number | 18 |
DOIs | |
State | Published - May 6 2022 |
Funding
Research at NSCL was funded by the National Science Foundation under Grants No. PHY-1913554, No. PHY-1102511, No. PHY-1565546, No. PHY-2110365, No. PHY-2011890, as well as by the Department of Energy Office of Science under Award No. DE-SC0016052. We acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC), as well as the Spanish MINECO Grant No. AYA2017-86274-P, the E. U. FEDER funds, the AGAUR/Generalitat de Catalunya Grant No. SGR-661/2017, and the EU Horizon 2020 Grant No. 101008324 ChETEC-INFRA. This article also benefited from discussions within the ChETEC COST Action (CA16117). Additional funding sources include Korean NRF Grants No. 2020R1A2C1005981 and No. 2016R1A5A1013277. We thank the NSCL staff for providing technical and administrative support for this experiment.
Funders | Funder number |
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National Science Foundation | PHY-1913554, PHY-2110365, PHY-1565546, PHY-2011890, PHY-1102511 |
Office of Science | DE-SC0016052 |
Horizon 2020 Framework Programme | |
Natural Sciences and Engineering Research Council of Canada | |
Generalitat de Catalunya | SGR-661/2017 |
Agència de Gestió d'Ajuts Universitaris i de Recerca | |
Ministerio de Economía y Competitividad | AYA2017-86274-P |
National Research Foundation of Korea | 2016R1A5A1013277, 2020R1A2C1005981 |
Horizon 2020 | 101008324 |