Ab Initio Nuclear Thermodynamics
| Autor: | Evgeny Epelbaum, Timo A. Lähde, Joaquín E. Drut, Dean Lee, Bing-Nan Lu, Ning Li, Serdar Elhatisari, Ulf-G. Meißner |
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| Rok vydání: | 2020 |
| Předmět: |
Speedup
Nuclear Theory Ab initio FOS: Physical sciences General Physics and Astronomy Thermodynamics 7. Clean energy 01 natural sciences Nuclear Theory (nucl-th) High Energy Physics - Lattice Critical point (thermodynamics) 0103 physical sciences Neutron ddc:530 Nuclear Experiment (nucl-ex) 010306 general physics Cluster analysis Nuclear Experiment Nuclear theory Condensed Matter - Statistical Mechanics Physics Statistical Mechanics (cond-mat.stat-mech) High Energy Physics - Lattice (hep-lat) Nuclear matter Atomic nucleus |
| Zdroj: | Physical review letters 125(19), 192502 (2020). doi:10.1103/PhysRevLett.125.192502 |
| DOI: | 10.1103/PhysRevLett.125.192502 |
| Popis: | We propose a new Monte Carlo method called the pinhole trace algorithm for {\it ab initio} calculations of the thermodynamics of nuclear systems. For typical simulations of interest, the computational speedup relative to conventional grand-canonical ensemble calculations can be as large as a factor of one thousand. Using a leading-order effective interaction that reproduces the properties of many atomic nuclei and neutron matter to a few percent accuracy, we determine the location of the critical point and the liquid-vapor coexistence line for symmetric nuclear matter with equal numbers of protons and neutrons. We also present the first {\it ab initio} study of the density and temperature dependence of nuclear clustering. 5 pages main text, 9 pages supplemental materials |
| Databáze: | OpenAIRE |
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