Tunable compression of template banks for fast gravitational-wave detection and localisation

Abstract

One strategy for reducing the online computational cost of matched-filter searches for gravitational waves is to introduce a compressed basis for the waveform template bank in a grid-based search. In this paper, we propose and investigate several tunable compression schemes for a general template bank. Through offline compression, such schemes are shown to yield faster detection and localisation of signals, along with moderately improved sensitivity and accuracy over coarsened banks at the same level of computational cost. This is potentially useful for any search involving template banks, and especially in the analysis of data from future space-based detectors such as eLISA, for which online grid searches are difficult due to the long-duration waveforms and large parameter spaces.

Published version

References in corpus (7)

• Observation of Gravitational Waves from a Binary Black Hole Merger
• Accelerated gravitational-wave parameter estimation with reduced order modeling
• Singular value decomposition applied to compact binary coalescence gravitational-wave signals
• Template-based searches for gravitational waves: efficient lattice covering of flat parameter spaces
• Gravitational wave parameter estimation with compressed likelihood evaluations
• Rotating stellar core-collapse waveform decompositon: a Principal Component Analysis approach
• Likelihood smoothing using gravitational wave surrogate models

Cited by in corpus (1)

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