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- Centre National de la Recherche ScientifiqueFR348 papers
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277 papers · 1 filter
Ab initio optical potentials for magnesium isotopes at intermediate energies: from stability to the island of inversion
G. H. Sargsyan, J. I. Fuentealba Bustamente, K. Beyer +1
We present the first calculations of ab initio nonlocal optical potentials for Mg and Mg isotopes using the leading-order term of the spectator expansion of mul…
Active learning emulators for nuclear two-body scattering in momentum space
A. Giri, J. Kim, C. Drischler +2
We extend the active learning emulators for two-body scattering in coordinate space with error estimation, recently developed by Maldonado et al. [Phys. Rev. C 112, 024002], to cou…
Toward a Unified Understanding of the Dense Matter Equation of State
Kshitij Agarwal, Johannes Jahan, Behruz Kardan +3
Efforts to understand the equation of state (EOS) of dense nuclear matter at supra-saturation densities have grown more sophisticated over the past decade, driven by a surge in hig…
The nucleardatapy toolkit for simple access to experimental nuclear data, astrophysical observations, and theoretical predictions
Jérôme Margueron, Christian Drischler, Mariana Dutra +10
Systematic comparisons across theoretical predictions for the properties of dense matter, nuclear physics data, and astrophysical observations (also called meta-analyses) are perfo…
Framework for phase transitions between the Maxwell and Gibbs constructions at finite temperature
Constantinos Constantinou, Mirco Guerrini, Tianqi Zhao +2
The characteristics of the hadron-to-quark first-order phase transition differ depending on whether charge neutrality is locally or globally fulfilled. In -equilibrated matter,…
Microscopic constraints for the equation of state and structure of neutron stars: a Bayesian model mixing framework
A. C. Semposki, C. Drischler, R. J. Furnstahl +1
Bayesian model mixing (BMM) is a statistical technique that can combine constraints from different regions of an input space in a principled way. Here we extend our BMM framework f…