Accurate and rapid gravitational waveform models for binary black hole coalescences

Research output: ThesisDoctoral thesis

Authors

  • Yoshinta Setyawati

Research Organisations

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Details

Original languageEnglish
QualificationDoctor rerum naturalium
Awarding Institution
Supervised by
  • Ohme, F., Supervisor, External person
Date of Award29 Sept 2021
Place of PublicationHannover
Publication statusPublished - 2021

Abstract

The first direct gravitational wave detection by LIGO and Virgo in 2015 marked the beginning of the gravitational wave astronomy era. Gravitational waves are an excellent tool to prove general relativity and unveil compact objects' dynamics in the universe. Over the years, we observe more signals from coalescing black hole binaries. Signals from the detectors are filtered through numerous waveform templates coming from theoretical predictions. Some models are more accurate but slow, and the others are less accurate but fast. We face ever-increasing demands for accuracy, speed, and parameter coverage of waveform models with more detections. Thus, we investigate strategies to speed up waveform generation without losing much accuracy for future signal analysis. In this dissertation, we present our approach as follows: 1. developing a method to dynamically tune less accurate (but fast) models with a more accurate (but slow) models through an iterative dimensionality reduction technique, 2. investigating the performance of regression methods, including machine learning for higher dimensions, 3. adding eccentricity to quasicircular analytical models through fitting technique. We analyze our results' faithfulness and prospects to speed up waveform generation. Our methods can readily be applied to reduce the complexity and time of building a new waveform model. Additionally, we build a python package pyrex to carry out the quasicircular turned eccentric computation. This study is crucial for the development of models which include more parameters.

Cite this

Accurate and rapid gravitational waveform models for binary black hole coalescences. / Setyawati, Yoshinta.
Hannover, 2021. 166 p.

Research output: ThesisDoctoral thesis

Setyawati, Y 2021, 'Accurate and rapid gravitational waveform models for binary black hole coalescences', Doctor rerum naturalium, Leibniz University Hannover, Hannover. https://doi.org/10.15488/11563
Setyawati Y. Accurate and rapid gravitational waveform models for binary black hole coalescences. Hannover, 2021. 166 p. doi: 10.15488/11563
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