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Massachusetts Institute of Technology

Optimizing tensor contractions for nuclear correlation functions

Abstract

dc:description.abstract

Nuclear correlation functions reveal interesting physical properties of atomic nuclei, including ground state energies and scattering potentials. However, calculating their values is computationally intensive due to the fact that the number of terms from quantum chromodynamics in a nuclear wave function scales exponentially with atomic number. In this thesis, we demonstrate two methods for speeding up this computation. First, we represent a correlation function as a sum of the determinants of many small matrices, and exploit similarities between the matrices to speed up the calculations of the determinants. We also investigate representing a correlation function as a sum of functions of bipartite graphs, and use isomorph-free exhaustive generation techniques to find a minimal set of graphs that represents the computation.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Physics.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Vachaspati, Pranjal
Advisor dc:contributor.advisor
  • William Detmold.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/92687
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/92687

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
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citation

Vachaspati, Pranjal. Optimizing tensor contractions for nuclear correlation functions. Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92687