Integration of ab-initio nuclear calculation with derivative free optimization technique

doi:https://doi.org/10.2172/972077

Title: Integration of ab-initio nuclear calculation with derivative free optimization technique

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Abstract

Optimization techniques are finding their inroads into the field of nuclear physics calculations where the objective functions are very complex and computationally intensive. A vast space of parameters needs searching to obtain a good match between theoretical (computed) and experimental observables, such as energy levels and spectra. Manual calculation defies the scope of such complex calculation and are prone to error at the same time. This body of work attempts to formulate a design and implement it which would integrate the ab initio nuclear physics code MFDn and the VTDIRECT95 code. VTDIRECT95 is a Fortran95 suite of parallel code implementing the derivative-free optimization algorithm DIRECT. Proposed design is implemented for a serial and parallel version of the optimization technique. Experiment with the initial implementation of the design showing good matches for several single-nucleus cases are conducted. Determination and assignment of appropriate number of processors for parallel integration code is implemented to increase the efficiency and resource utilization in the case of multiple nuclei parameter search.

Authors:

Sharda, Anurag ^[1]

Iowa State Univ., Ames, IA (United States)

Publication Date:: 2008-01-01

Research Org.:: Ames Laboratory (AMES), Ames, IA (United States)

Sponsoring Org.:: USDOE Office of Science (SC)

OSTI Identifier:: 972077

Report Number(s):: IS-T 2915
TRN: US1001464

DOE Contract Number:: AC02-07CH11358

Resource Type:: Thesis/Dissertation

Country of Publication:: United States

Language:: English

Subject:: 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; ALGORITHMS; DESIGN; EFFICIENCY; ENERGY LEVELS; IMPLEMENTATION; NUCLEAR PHYSICS; NUCLEI; OPTIMIZATION; SPECTRA

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                    Sharda, Anurag. Integration of ab-initio nuclear calculation with derivative free optimization technique.  United States: N. p., 2008. 
        Web.  doi:10.2172/972077.

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                    Sharda, Anurag. Integration of ab-initio nuclear calculation with derivative free optimization technique.  United States.  https://doi.org/10.2172/972077

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                    Sharda, Anurag. Tue .  
        "Integration of ab-initio nuclear calculation with derivative free optimization technique".  United States.  https://doi.org/10.2172/972077.  https://www.osti.gov/servlets/purl/972077.

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@article{osti_972077,

  title        = {Integration of ab-initio nuclear calculation with derivative free optimization technique},

  author       = {Sharda, Anurag},

  abstractNote = {Optimization techniques are finding their inroads into the field of nuclear physics calculations where the objective functions are very complex and computationally intensive. A vast space of parameters needs searching to obtain a good match between theoretical (computed) and experimental observables, such as energy levels and spectra. Manual calculation defies the scope of such complex calculation and are prone to error at the same time. This body of work attempts to formulate a design and implement it which would integrate the ab initio nuclear physics code MFDn and the VTDIRECT95 code. VTDIRECT95 is a Fortran95 suite of parallel code implementing the derivative-free optimization algorithm DIRECT. Proposed design is implemented for a serial and parallel version of the optimization technique. Experiment with the initial implementation of the design showing good matches for several single-nucleus cases are conducted. Determination and assignment of appropriate number of processors for parallel integration code is implemented to increase the efficiency and resource utilization in the case of multiple nuclei parameter search.},

  doi          = {10.2172/972077},

  url          = {https://www.osti.gov/biblio/972077},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2008},

  month        = {1}

}

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