Clustering in structure and reactions using configuration interaction techniques
Abstract
Atomic nuclei are remarkable quantum manybody systems where clustering properties develop naturally from underlying interactions between the constituent nucleons. Clustering degrees of freedom manifest themselves in multiple structure and reaction observables. Our goal is to study nuclear clustering and its emergence in manynucleon dynamics from nucleonnucleon interactions. Clustering is a phenomenon that is known to emerge on the boundary between structure and reactions, therefore developing appropriate techniques that bridge the structurereaction divide and establishing connections to observables is among our principal objectives. Showing consistency and how the new techniques can be reduced to well established other methods is an important part of this work. Here, the configurationinteraction technique based on second quantization is used to treat the quantum manybody problem assuring that fermionic antisymmetry is fully satisfied. The use of the harmonic oscillator singleparticle basis allows for the centerofmass coordinate to be separated and prepared in a desired oscillator state for each cluster. The relative motion reaction basis channels are constructed by coupling clusters in different harmonic oscillator states with respect to their relative motion. Finally, using a resonating group method strategy we solve the generalized eigenvalue problem to obtain scattering channels. Structural clustering characteristics are discussed and the modifiedmore »
 Authors:

 Florida State Univ., Tallahassee, FL (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
 Florida State Univ., Tallahassee, FL (United States)
 Publication Date:
 Research Org.:
 Florida State Univ., Tallahassee, FL (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
 Sponsoring Org.:
 USDOE Office of Science (SC), Nuclear Physics (NP)
 OSTI Identifier:
 1594020
 Alternate Identifier(s):
 OSTI ID: 1592990
 Report Number(s):
 LLNLJRNL758083
Journal ID: ISSN 24699985; PRVCAN
 Grant/Contract Number:
 SC0009883; AC5207NA27344
 Resource Type:
 Accepted Manuscript
 Journal Name:
 Physical Review C
 Additional Journal Information:
 Journal Volume: 100; Journal Issue: 3; Journal ID: ISSN 24699985
 Publisher:
 American Physical Society (APS)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Alpha decay; Cluster models; H & He induced nuclear reactions; Nuclear forces; Nuclear manybody theory; Shell model
Citation Formats
Kravvaris, Konstantinos, and Volya, Alexander. Clustering in structure and reactions using configuration interaction techniques. United States: N. p., 2019.
Web. doi:10.1103/PhysRevC.100.034321.
Kravvaris, Konstantinos, & Volya, Alexander. Clustering in structure and reactions using configuration interaction techniques. United States. doi:10.1103/PhysRevC.100.034321.
Kravvaris, Konstantinos, and Volya, Alexander. Mon .
"Clustering in structure and reactions using configuration interaction techniques". United States. doi:10.1103/PhysRevC.100.034321. https://www.osti.gov/servlets/purl/1594020.
@article{osti_1594020,
title = {Clustering in structure and reactions using configuration interaction techniques},
author = {Kravvaris, Konstantinos and Volya, Alexander},
abstractNote = {Atomic nuclei are remarkable quantum manybody systems where clustering properties develop naturally from underlying interactions between the constituent nucleons. Clustering degrees of freedom manifest themselves in multiple structure and reaction observables. Our goal is to study nuclear clustering and its emergence in manynucleon dynamics from nucleonnucleon interactions. Clustering is a phenomenon that is known to emerge on the boundary between structure and reactions, therefore developing appropriate techniques that bridge the structurereaction divide and establishing connections to observables is among our principal objectives. Showing consistency and how the new techniques can be reduced to well established other methods is an important part of this work. Here, the configurationinteraction technique based on second quantization is used to treat the quantum manybody problem assuring that fermionic antisymmetry is fully satisfied. The use of the harmonic oscillator singleparticle basis allows for the centerofmass coordinate to be separated and prepared in a desired oscillator state for each cluster. The relative motion reaction basis channels are constructed by coupling clusters in different harmonic oscillator states with respect to their relative motion. Finally, using a resonating group method strategy we solve the generalized eigenvalue problem to obtain scattering channels. Structural clustering characteristics are discussed and the modified harmonic oscillator representation for scattering equations method is used to extract scattering observables. New methods for treating clustering problems have been put forward. We demonstrate broad applicability of the developed techniques. Examples highlight connections with algebraic techniques, and the role of approximations leading to algebraic limits is assessed using realistic examples. Various types of clustering characteristics are used to study alpha clustering in light nuclei that are relevant to currently ongoing experimental efforts. We demonstrate the emergence of strongly clustered bands of states in beryllium, triple alpha channels in 12C, and molecular type clustering in 21Ne. Starting from nucleonnucleon interactions without any additional assumptions scattering phase shifts for alphaalpha scattering are determined and shown to be consistent with those observed. In this work we put forward a new configurationinteractionbased method that targets the physics of clustering, and further unifies nuclear structure and reactions. We provide detailed discussions and many examples highlighting features and advantages of the approach.},
doi = {10.1103/PhysRevC.100.034321},
journal = {Physical Review C},
number = 3,
volume = 100,
place = {United States},
year = {2019},
month = {9}
}
Web of Science
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