Electronic Theses and Dissertations

Date of Award

1-1-2024

Document Type

Thesis

Degree Name

M.S. in Physics

First Advisor

Anuradha Gupta

Second Advisor

Nicholas MacDonald

Third Advisor

Gavin Davies

School

University of Mississippi

Relational Format

dissertation/thesis

Abstract

Merging binary black holes exhibit precessional motion that can be classified into three distinct morphologies: Circulating, librating around 0, and librating around π. This information is decoded from the gravitational wave signal. Binary systems can transition between morphologies as they spiral inwards, and spin precession effects are more pronounced near merger. The spin morphology reveals information about the binary black holes’ formation such as through isolated evolution of massive binary stars and their collapse or through dynamic evolution channels such as capture. In this study, we considered inferring the morphology at reference points at which the binary has (approximately) a given orbital velocity using both dimensionless frequency corresponding to 20 Hz and dimensionless time corresponding to t = −100M. Previous studies have instead used a reference point at a given gravitational wave frequency, which corresponds to different orbital velocities depending on the binary’s properties. We simulated loud gravitational wave signals from spinning binary black holes in the LIGO-Virgo network at its plus-era sensitivity and constrained their precessional morphologies. We then compared the results to those from previous work to see if there are better constraints at these new reference points. We find that one can obtain both better and worse constraints at a fixed orbital velocity than at a fixed gravitational wave frequency. This study helps determine a suitable reference point for constraining binary black hole spin morphologies.

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