Abstract

Gravitational wave (GW) observations of binary black hole (BBH) mergers by advanced LIGO (aLIGO) have transformed our understanding of compact objects (COs). As detector sensitivity improves, new populations consisting of moderate to high mass ratio binaries will become increasingly accessible. Parameter estimation (PE), a process that extracts source properties such as masses and spins from GW signals, is critically dependent on accurate waveform models. However, current models may use approximations that introduce systematic errors for binaries with mass ratios between 0.05 and 0.5, affecting parameter accuracy and scientific interpretation. Using the Rapid Iterative FiTting (RIFT) algorithm, this work quantifies waveform systematics in this mass ratio regime and evaluates their impact on parameter inference. Addressing these challenges is essential for reliable interpretation of current and future GW observations, including those from next-generation detectors like LISA.

Library of Congress Subject Headings

Gravitational waves--Mathematical models; Black holes (Astronomy); Stellar mergers; Double stars--Observations

Publication Date

8-2025

Document Type

Thesis

Student Type

Graduate

Degree Name

Astrophysical Sciences and Technology (MS)

Department, Program, or Center

Physics and Astronomy, School of

College

College of Science

Advisor

Richard O'Shaughnessy

Advisor/Committee Member

Yosef Zlochower

Advisor/Committee Member

Joshua Faber

Campus

RIT – Main Campus

Plan Codes

ASTP-MS

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