Gravitational-wave template banks for novel compact binaries
Stefano Schmidt, Bhooshan Gadre, Sarah Caudill

TL;DR
This paper presents a new efficient method for generating gravitational-wave template banks for binary black hole mergers, capable of handling complex systems with precession, higher-order modes, and eccentricity, significantly improving search capabilities.
Contribution
The authors introduce a novel metric approximation and use normalizing flow models to rapidly produce high-dimensional template banks, enabling advanced gravitational-wave searches.
Findings
Successfully generated template banks with high coverage and low mismatch.
Achieved rapid bank creation in hours for millions of templates.
Validated the method's effectiveness for precessing and higher-mode systems.
Abstract
We introduce a novel method to generate a bank of gravitational-waveform templates of binary black hole (BBH) mergers for matched-filter searches in LIGO, Virgo and Kagra data.We derive a novel expression for the metric approximation to the distance between templates, which is suitable for precessing BBHs and/or systems with higher-order modes (HM) imprints and we use it to meaningfully define a template probability density across the parameter space. We employ a masked autoregressive normalizing flow model which can be conveniently trained to quickly reproduce the target probability distribution and sample templates from it. Thanks to the normalizing flow, our code takes a few {\it hours} to produce random template banks with millions of templates, making it particularly suitable for high-dimensional spaces, such as those associated to precession, eccentricity and/or HM. After…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Gamma-ray bursts and supernovae · Radio Astronomy Observations and Technology
