Integration of Ab Initio Nuclear Physics Calculations with Optimization Techniques

Authors:
Masha Sosonkina;Anurag Sharda;Alina Negoita;James P. Vary
Affiliations:
Ames Laboratory/DOE, Iowa State University, Ames, USA IA 50011;Ames Laboratory/DOE, Iowa State University, Ames, USA IA 50011;Physics Department, Iowa State University, Ames, USA IA 50011;Physics Department, Iowa State University, Ames, USA IA 50011
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Year:
2008

Citing 2
Cited 1

Lipschitzian optimization without the Lipschitz constant

Journal of Optimization Theory and Applications
Algorithm 897: VTDIRECT95: Serial and parallel codes for the global optimization algorithm direct

ACM Transactions on Mathematical Software (TOMS)

Benefits of Parallel I/O in Ab Initio Nuclear Physics Calculations

ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I

Quantified Score

Hi-index	0.00

Visualization

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. In this paper, we propose a design integrating the ab initionuclear physics code MFDn and the VTDIRECT95 code for derivative-free optimization. We experiment with the initial implementation of the design showing good matches for several single-nucleus cases. For the parallel MFDn code, we determine appropriate processor numbers to execute efficiently a multiple-nuclei parameter search.