The strong nuclear interaction: governing the quantum properties of nuclei and the neutron-star equation of state

Project funded by Swedish Research Council (Project grant), grant 2020-05127_VR. Participating organisations named by the source: Chalmers University of Technology. Funded amount: SEK 3,565,000, as stated by the source. Runs 2021-01-01 to 2024-12-31. Keywords: Naturvetenskap, Natural Sciences, Fysik, Physical Sciences, Subatomär fysik, Subatomic Physics. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-12-05); national funding data, not CORDIS. Abstract given by the source: The aim of this project is to use chiral effective field theory (χEFT), ab initio many-body theory, and Bayesian inference methods to quantify the theoretical uncertainties in the prediction of the neutron-skin thickness of 208-Pb and the density-dependent parameters of the nuclear equation of state (EOS) up to nuclear saturation densities. The result is a ground-breaking ab initio quantification of the correlation pattern between the skin-thickness in 208-Pb and the slope parameter of the symmetry energy.This will provide a fundamental interpretation of upcoming PREX and MREX measurements of the neutron skin in 208-Pban important test to validate our knowledge about the strong nuclear interaction according to effective field theorya link between sub-saturation EOS properties and data from finite nucleinew scientific questions about neutron stars and the mechanism that stabilizes very neutron-rich nucleiThe breakthrough that permits this project to succeed is a new method called subspace-projected coupled cluster (SPCC) [A. Ekström et al., PRL, 123, 252501, 2019]. With SPCC, I expect to enable high-precision ab initio predictions of 208-Pb and the nuclear EOS for more than a million values of the low-energy constants in the χEFT description of the nuclear interaction, all in one hour on a standard laptop. The dramatic reduction of the computational cost that SPCC offers (speedup : >105) finally enables robust Bayesian inference analyses in ab initio nuclear theory.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Swedish Research Council. Retrieved 2026-10-28. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project, funded by the Swedish Research Council with SEK 3,565,000, runs from January 1, 2021, to December 31, 2024, at Chalmers University of Technology. It aims to quantify theoretical uncertainties in neutron-skin thickness and nuclear equation of state parameters. Suggested technology pillar: simulation. Generated by AI from the public source text; it may contain errors and the original source is authoritative.