Abstract
Efforts to describe nuclear structure and dynamics from first principles have advanced significantly in recent years. Exact methods for light nuclei are now able to include continuum degrees of freedom and treat structure and reactions on the same footing, and multiple approximate, computationally efficient many-body methods have been developed that can be routinely applied for medium-mass nuclei. This has made it possible to confront modern nuclear interactions from Chiral Effective Field Theory, that are rooted in Quantum Chromodynamics with a wealth of experimental data. Here, we discuss one of these efficient new many-body methods, the In-Medium Similarity Renormalization Group (IMSRG), and its applications in modern nuclear structure theory. The IMSRG evolves the nuclear many-body Hamiltonian in second-quantized form through continuous unitary transformations that can be implemented with polynomial computational effort. Through suitably chosen generators, we drive the matrix representation of the Hamiltonian in configuration space to specific shapes, e.g., to implement a decoupling of low-and high-energy scales, or to extract energy eigenvalues for a given nucleus. We present selected results from Multireference IMSRG (MR-IMSRG) calculations of open-shell nuclei, as well as proof-of-principle applications for intrinsically deformed medium-mass nuclei. We discuss the successes and prospects of merging the (MR-)IMSRG with many-body methods ranging from Configuration Interaction to the Density Matrix Renormalization Group, with the goal of achieving an efficient simultaneous description of dynamic and static correlationsin atomic nuclei.
Original language | English |
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Article number | 012007 |
Journal | Journal of Physics: Conference Series |
Volume | 1041 |
Issue number | 1 |
DOIs | |
State | Published - Jun 12 2018 |
Event | 19th International Conference Recent Progress in Man-Body Theories, RPMBT 2017 - Pohang, Korea, Republic of Duration: Jun 25 2017 → Jun 30 2017 |
Funding
Computing resources were provided by the Michigan State University Institute for Cyber-Enabled Research (iCER), and the National Energy Research Scientific Computing Center (NERSC), a DOE O ce of Science User Facility supported by the O ce of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This publication is based on work supported in part by the National Science Foundation under Grants No. PHY-1404159, PHY-1614130, and PHY-1713901, as well as the U.S. Department of Energy, O ce of Science, O ce of Nuclear Physics under Grants No. DE-SC0008511 and DE-SC0008641 (NUCLEI SciDAC Collaboration), DE-FG02-97ER41019 and DE-SC0004142.