Author Type

Undergraduate Student

Date of Award

Fall 2025

Document Type

Thesis

Publication Status

Version of Record

Submission Date

March 2026

College Granting Degree

Harriet L. Wilkes Honors College

Thesis/Dissertation Advisor [Chair]

Michal Pirog

Additional Committee Member 1

Yaouen Fily

Additional Committee Member 2

Justin Perry

Abstract

Binary Neutron Star (BNS) mergers are among the most energetic events in the universe, producing gravitational waves, electromagnetic radiation, and heavy elements. While previous research has utilized simulations for collisions, few studies have accounted for how the spin of the stars affects mergers. This thesis contains a general overview of the topic and a research component conducted in the field of numerical relativity. High-performance computing was used to simulate BNS collisions, examining how spin affects the inspiral, merger, and post-merger phases. Computations used the Einstein Toolkit, Cactus framework, and the numerical tool developed by the FAU Relativity Group, Sgrid. The programming languages involved here were Fortran and C. Numerical calculations were performed using FAU’s Athene High-Performance Computing (HPC) cluster. We anticipate improved accuracy on BNS merger simulations and insights into how spin influences merger behavior. The results will contribute to our understanding of BNS behavior and refine current astrophysical models.

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