Optimization of the imaginary time step evolution for the Dirac equation

Taking the single neutron levels of ^12C in the Fermi sea as examples,the optimization of the imaginary time step(ITS) evolution with the box size and mesh size for the Dirac equation is investigated.For the weakly bound states,in order to reproduce the exact single-particle energies and wave functi...

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Published inScience China. Physics, mechanics & astronomy Vol. 54; no. 2; pp. 231 - 235
Main Authors Li, FangQiong, Zhang, Ying, Liang, HaoZhao, Meng, Jie
Format Journal Article
LanguageEnglish
Published Heidelberg SP Science China Press 01.02.2011
Springer Nature B.V
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Abstract Taking the single neutron levels of ^12C in the Fermi sea as examples,the optimization of the imaginary time step(ITS) evolution with the box size and mesh size for the Dirac equation is investigated.For the weakly bound states,in order to reproduce the exact single-particle energies and wave functions,a relatively large box size is required.As long as the exact results can be reproduced,the ITS evolution with a smaller box size converges faster,while for both the weakly and deeply bound states,the ITS evolutions are less sensitive to the mesh size.Moreover,one can find a parabola relationship between the mesh size and the corresponding critical time step,i.e.,the largest time step to guarantee the convergence,which suggests that the ITS evolution with a larger mesh size allows larger critical time step,and thus can converge faster to the exact result.These conclusions are very helpful for optimizing the evolution procedure in the future self-consistent calculations.
AbstractList Taking the single neutron levels of 12C in the Fermi sea as examples, the optimization of the imaginary time step (ITS) evolution with the box size and mesh size for the Dirac equation is investigated. For the weakly bound states, in order to reproduce the exact single-particle energies and wave functions, a relatively large box size is required. As long as the exact results can be reproduced, the ITS evolution with a smaller box size converges faster, while for both the weakly and deeply bound states, the ITS evolutions are less sensitive to the mesh size. Moreover, one can find a parabola relationship between the mesh size and the corresponding critical time step, i.e., the largest time step to guarantee the convergence, which suggests that the ITS evolution with a larger mesh size allows larger critical time step, and thus can converge faster to the exact result. These conclusions are very helpful for optimizing the evolution procedure in the future self-consistent calculations.
Taking the single neutron levels of 12 C in the Fermi sea as examples, the optimization of the imaginary time step (ITS) evolution with the box size and mesh size for the Dirac equation is investigated. For the weakly bound states, in order to reproduce the exact single-particle energies and wave functions, a relatively large box size is required. As long as the exact results can be reproduced, the ITS evolution with a smaller box size converges faster, while for both the weakly and deeply bound states, the ITS evolutions are less sensitive to the mesh size. Moreover, one can find a parabola relationship between the mesh size and the corresponding critical time step, i.e., the largest time step to guarantee the convergence, which suggests that the ITS evolution with a larger mesh size allows larger critical time step, and thus can converge faster to the exact result. These conclusions are very helpful for optimizing the evolution procedure in the future self-consistent calculations.
Taking the single neutron levels of ^12C in the Fermi sea as examples,the optimization of the imaginary time step(ITS) evolution with the box size and mesh size for the Dirac equation is investigated.For the weakly bound states,in order to reproduce the exact single-particle energies and wave functions,a relatively large box size is required.As long as the exact results can be reproduced,the ITS evolution with a smaller box size converges faster,while for both the weakly and deeply bound states,the ITS evolutions are less sensitive to the mesh size.Moreover,one can find a parabola relationship between the mesh size and the corresponding critical time step,i.e.,the largest time step to guarantee the convergence,which suggests that the ITS evolution with a larger mesh size allows larger critical time step,and thus can converge faster to the exact result.These conclusions are very helpful for optimizing the evolution procedure in the future self-consistent calculations.
Author LI FangQiong ZHANG Ying LIANG HaoZhao MENG Jie
AuthorAffiliation Guizhou University for Nationalities, Guiyang 550025, China Stute Key Lab Nuclear Physics & Technology; School of Physics, Peking University, Beijing 100871, China Institut de Physique Nucl(aire, IN2P3-CNRS and Universit( Paris-Sud, F-91406 Orsay Cedex, France School of Physics and Nuclear Energy Engineering, Beihang University, Beijing 100191, China Department of Physics, University of Stellenbosch, Stellenbosch, South Africa
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CitedBy_id crossref_primary_10_1007_s11434_012_5491_6
crossref_primary_10_1103_PhysRevC_88_024323
crossref_primary_10_1007_s11433_012_4944_x
crossref_primary_10_1088_0031_8949_91_8_083005
crossref_primary_10_1016_j_physrep_2014_12_005
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convergence
imaginary time step method
Dirac equation
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Snippet Taking the single neutron levels of ^12C in the Fermi sea as examples,the optimization of the imaginary time step(ITS) evolution with the box size and mesh...
Taking the single neutron levels of 12 C in the Fermi sea as examples, the optimization of the imaginary time step (ITS) evolution with the box size and mesh...
Taking the single neutron levels of 12C in the Fermi sea as examples, the optimization of the imaginary time step (ITS) evolution with the box size and mesh...
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chongqing
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StartPage 231
SubjectTerms Astronomy
Classical and Continuum Physics
Convergence
Dirac equation
Dirac方程
Evolution
Observations and Techniques
Optimization
Physics
Physics and Astronomy
Research Paper
Wave functions
单粒子能量
大肠杆菌
收敛速度
时间演化
步长优化
狄拉克方程
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Title Optimization of the imaginary time step evolution for the Dirac equation
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