PaperPanorama

Nuclear Theory·nucl-th

Wednesday·November 1, 2023

8 papers4 primary·4 cross-listed

  1. 01

    Asymptotic normalization coefficients for synthesis and the -factor for radiative capture

    A. M. Mukhamedzhanov · R. J. deBoer · B. F. Irgaziev · L. D. Blokhintsev · A. S. Kadyrov · D. A. Savin

    The O reaction, determining the survival of carbon in red giants, is of interest for nuclear reaction theory and nuclear astrophysics. A specific feature of the O nuclear structure is the presence of two subthreshold bound states, (6.92 MeV, 2) and (7.12 MeV, 1), that dominate the behavior of the low-energy -factor. The strength of these subthreshold states is determined by their asymptotic normalization coefficients (ANCs), which need to be known with high accuracy. Recently, using a model-independent extrapolation method, Blokhintsev {\it et al.} [Eur. Phys. J. A {\bf 59} (2023) 162] determined the ANCs for the -particle removal taking into account three subthreshold states in O. The goal of this paper is to address four main problems elucidating the impact of the subthreshold ANCs on the low-energy -factor. Firstly, we analyse the connection between variations of the subthreshold ANCs and the low-energy -factor, in particular, at the most effective energy of keV. Secondly, we calculate contributions to the -factor from the subthreshold and resonances, that are controlled by the subthreshold ANCs. We also evaluate the contribution of the uncertainties of the subthreshold ANCs to the budget of the low-energy -factor uncertainty, especially, the -factor. Thirdly, we analyse interference of the subthreshold resonances (SRs) with higher resonances and with the and direct captures to the ground state. Finally, we investigate a correlated effect of the subthreshold and ground-state ANCs on the low-energy -factor and, in particular, on the -factor.

    nucl-thastro-ph.SRPRC(2024)·6 citations
  2. 02

    Taweret: a Python package for Bayesian model mixing

    Kevin Ingles · Dananjaya Liyanage · Alexandra C. Semposki · John C. Yannotty

    Uncertainty quantification using Bayesian methods is a growing area of research. Bayesian model mixing (BMM) is a recent development which combines the predictions from multiple models such that each model's best qualities are preserved in the final result. Practical tools and analysis suites that facilitate such methods are therefore needed. Taweret introduces BMM to existing Bayesian uncertainty quantification efforts. Currently Taweret contains three individual Bayesian model mixing techniques, each pertaining to a different type of problem structure; we encourage the future inclusion of user-developed mixing methods. Taweret's first use case is in nuclear physics, but the package has been structured such that it should be adaptable to any research engaged in model comparison or model mixing.

    nucl-thphysics.data-anstat.COJ.Open Source Softw.(2024)·4 citations
  3. 03

    Multiconfigurational time-dependent density functional theory for atomic nuclei: Technical and numerical aspects

    Petar Marević🇫🇷 · David Regnier🇫🇷 · Denis Lacroix🇫🇷

    The nuclear time-dependent density functional theory (TDDFT) is a tool of choice for describing various dynamical phenomena in atomic nuclei. In a recent study, we reported an extension of the framework - the multiconfigurational TDDFT (MC-TDDFT) model - that takes into account quantum fluctuations in the collective space by mixing several TDDFT trajectories. In this article, we focus on technical and numerical aspects of the model. We outline the properties of the time-dependent variational principle that is employed to obtain the equation of motion for the mixing function. Furthermore, we discuss evaluation of various ingredients of the equation of motion, including the Hamiltonian kernel, norm kernel, and kernels with explicit time derivatives. We detail the numerical methods for resolving the equation of motion and outline the major assumptions underpinning the model. A technical discussion is supplemented with numerical examples that consider collective quadrupole vibrations in Ca, particularly focusing on the issues of convergence, treatment of linearly dependent bases, energy conservation, and prescriptions for the density-dependent part of an interaction.

    nucl-thnucl-exquant-phEPJA(2024)·7 citations
  4. 04

    Reaction Theory

    Brady J. Martin · Wayne N. Polyzou

    Background: Nuclear reactions are complex, with a large number of possible channels. Understanding how different channels contribute to a given reaction is investigated by perturbing the continuous spectrum. Purpose: To develop tools to investigate reaction mechanisms by identifying the contributions from each reaction channel. Method: Cluster decomposition methods, along with the spectral theory of proper subsystem problems, is used to identify the part of the nuclear Hamiltonian responsible for scattering into each channel. Results: The result is an expression of the nuclear Hamiltonian as a sum over all scattering channels of channel Hamiltonians. Each channel Hamiltonian is constructed from solutions of proper subsystem problems. Retaining any subset of channel Hamiltonians results in a truncated Hamiltonian where the scattering wave functions for the retained channels differ from the wave functions of the full Hamiltonian by -body correlations. The scattering operator for the truncated Hamiltonian satisfies an optical theorem in the retained channels. Because different channel Hamiltonians do not commute, how they interact determines their contribution to the full dynamics.

    nucl-th1 citation

Affiliations

first authorsco-authorsvia INSPIRE