Swarm-intelligent search for gravitational waves from eccentric binary mergers
arXiv:2307.03736 · doi:10.1103/PhysRevD.110.042003
Abstract
We implement an eccentric search for compact binary mergers based on particle swarm optimization. Orbital eccentricity is an invaluable input for understanding the formation scenarios of the binary mergers and can play a pivotal role in finding their electromagnetic counterparts. Current modelled searches rely on pre-computed template banks that are computationally expensive and resistant towards expanding the search parameter space dimensionality. On the other hand, particle swarm optimization offers a straightforward algorithm that dynamically selects template points while exploring an arbitrary dimensional parameter space. Through extensive evaluation using simulated signals from spin-aligned eccentric binary mergers, we discovered that the search exhibits a remarkable autonomy in capturing the effects of both eccentricity and spin. We describe our search pipeline and revisit some of the merger candidates from the gravitational wave transient catalogs.
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- Observation of gravitational waves from two neutron star-black hole coalescences
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Cited by in corpus (10)
- Accurate waveforms for eccentric, aligned-spin binary black holes: The multipolar effective-one-body model SEOBNRv5EHM
- Third post-Newtonian dynamics for eccentric orbits and aligned spins in the effective-one-body waveform model SEOBNRv5EHM
- Eccentricity signatures in LIGO-Virgo-KAGRA's BNS and NSBH binaries
- Search for eccentric NSBH and BNS mergers in the third observing run of Advanced LIGO and Virgo
- A geometric template bank for the detection of spinning low-mass compact binaries with moderate orbital eccentricity
- Detection of GW200105 with a targeted eccentric search
- Gravitational waves from eccentric binary neutron star mergers: Systematic biases and inadequacy of quasicircular templates
- Sky localization of gravitational waves from eccentric binaries
- Tidal reconstruction of neutron star mergers from their late inspiral
- Beyond FINDCHIRP: Breaking the memory wall and optimal FFTs for Gravitational-Wave Matched-Filter Searches with Ratio-Filter Dechirping