Optimization of basis functions for the multi-configuration mixing using the Replica Exchange Monte-Carlo method and its application to $^{12}$C
Takatoshi Ichikawa, Naoyuki Itagaki

TL;DR
This paper introduces an efficient Replica Exchange Monte-Carlo method for selecting important basis functions in multi-configuration mixing, applied to nuclear states of $^{12}$C, revealing detailed structural insights.
Contribution
The paper presents a novel RXMC method for sampling and optimizing basis functions in multi-configuration calculations, enhancing analysis of nuclear excited states.
Findings
Identified gas-like and linear-chain-like states in $^{12}$C.
Demonstrated efficient sampling of basis functions at T_L=2.5 MeV.
Revealed detailed nuclear structure and state components.
Abstract
To calculate excited states in quantum many-body systems, multi-configuration mixing has often been employed. However, it has been still unclear how to choose important Slater determinants from a huge model space. We propose a novel efficient method as the Replica Exchange Monte-Carlo (RXMC) method to sample important Slater determinants and optimize and analyze the obtained results. As an application, we apply it to the ground and excited states of C based on the Bloch-Brink cluster model and show the detailed structure of the obtained states. The RXMC method enables us to efficiently sample Slater determinants following the Boltzmann distribution on the multi-dimensional potential energy surface (PES) under a given model space. To analyze the obtained excited states, we embed sampled basis functions onto the PES calculated with the - constraint method…
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Taxonomy
TopicsNuclear physics research studies · Advanced Chemical Physics Studies · Quantum Chromodynamics and Particle Interactions
