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Harmonic decomposition versus metric-based template banks in precessing gravitational-wave searches: a thesis in Physics
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Harmonic decomposition versus metric-based template banks in precessing gravitational-wave searches: a thesis in Physics

Manvi Jain
Master of Science (MS), University of Massachusetts Dartmouth
2025
DOI:
https://doi.org/10.62791/20482

Abstract

Recent techniques have emerged to enable gravitational-wave searches for precessing compact binary systems, previously too computationally prohibitive. These techniques include generalized matched-filter statistic methods over restricted parameter regions and harmonic decomposition methods. We present a study of the relative template bank sizes and sensitivities of these two methods. We restrict ourselves to l = 2 and m = ±2 mode, and use the fact that a signal from a precessing binary can be decomposed into five harmonics that form a power series. We construct a large fully precessing template bank with the metric approximation code mbank and five harmonic template banks using a stochastic placement method. We demonstrate that harmonic banks can be constructed with approximately 55,000 templates and still obtain fitting factors ≥ 0.9. We further discuss interpretation considerations when performing matched-filter calculation across a single fully precessing bank versus five harmonic banks.
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Jain M. COE MS Thesis 20254.33 MBDownloadView
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