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Storbacka, M. & Qi, C. (2026). A flexible Bayesian framework for atomic masses by locally inferring configuration mixing. Communications Physics, 9(1), Article ID 143.
Open this publication in new window or tab >>A flexible Bayesian framework for atomic masses by locally inferring configuration mixing
2026 (English)In: Communications Physics, E-ISSN 2399-3650, Vol. 9, no 1, article id 143Article in journal (Refereed) Published
Abstract [en]

Accurate modeling of atomic masses with reliable uncertainty quantification is essential for understanding heavy-element production in astrophysical environments. This remains challenging because uncertainties arise not only from model parameters but also from structural limitations, often leading to underestimation when extrapolating beyond known nuclei. Here, we introduce SPICE, a probabilistic nuclear mass model that uses local Bayesian averaging to emulate mixing between low-lying nuclear configurations within a shell-model-inspired framework. By incorporating configurations associated with excitations across harmonic-oscillator and spin-orbit major shells, the model achieves root-mean-square deviations of about 500 keV with only 10-13 parameters. Our results show that local configuration mixing improves predictive accuracy and provides insight into evolving shell structure in neutron- and proton-rich regions, with potential extensions to include configuration mixing effects from non-orthogonal configurations.

Place, publisher, year, edition, pages
Springer Nature, 2026
National Category
Subatomic Physics Probability Theory and Statistics Physical Sciences
Identifiers
urn:nbn:se:kth:diva-383211 (URN)10.1038/s42005-026-02636-1 (DOI)001747568300001 ()2-s2.0-105036413322 (Scopus ID)
Note

QC 20260609

Available from: 2026-06-09 Created: 2026-06-09 Last updated: 2026-06-09Bibliographically approved
Storbacka, M. & Qi, C. (2024). Location of the neutron drip line for Sn and its impact on r-process abundances. Physics Letters B, 855, Article ID 138822.
Open this publication in new window or tab >>Location of the neutron drip line for Sn and its impact on r-process abundances
2024 (English)In: Physics Letters B, ISSN 0370-2693, E-ISSN 1873-2445, Vol. 855, article id 138822Article in journal (Refereed) Published
Abstract [en]

Nuclear physical inputs are critical for predicting the abundance of r-process elements. Extensive sensitivity studies have recently been performed to gauge the impact of the individual properties of nuclei on the r-process. In this work, we investigate the impact of the large uncertainties in the theoretical predictions of the masses of neutron-rich Sn isotopes and the location of the neutron drip line on the abundance of r-process abundances. The uncertainties in the predicted r-process abundances are obtained through large-scale network calculations by simultaneously varying the masses and reaction rates of Sn within the predicted mass uncertainties. The calculations use a generally indicative astrophysical trajectory of neutron-star mergers and are based on three different mass models. The results indicate that the large uncertainty in the location of the neutron drip line for Sn can significantly and asymmetrically affect the predicted abundances of nuclei after the second peak, in particular around A=140−155, sometimes accompanied by a delayed freeze-out.

Place, publisher, year, edition, pages
Elsevier BV, 2024
Keywords
Neutron drip line, Nuclear mass, Nucleosynthesis, r-process, Sn isotopes
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
urn:nbn:se:kth:diva-349931 (URN)10.1016/j.physletb.2024.138822 (DOI)001262329900001 ()2-s2.0-85196792207 (Scopus ID)
Note

QC 20240704

Available from: 2024-07-03 Created: 2024-07-03 Last updated: 2024-07-19Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0009-0002-2008-1250

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