Detecting gravitational wave signals using a flexible model for the amplitude and frequency evolution

Autor:	Gupta, Toral, Cornish, Neil
Rok vydání:	2024
Předmět:	General Relativity and Quantum Cosmology
Druh dokumentu:	Working Paper
Popis:	We currently lack good waveform models for many gravitational wave sources. Examples where models are lacking include neutron star post merger signals, core collapse supernovae, and signals of unknown origin. Wavelet based techniques have proven effective at detecting and characterizing these signals. Here we introduce a new method that uses collections of evolving amplitude-frequency tracks, or "voices", to model generic gravitational wave signals. The analysis is implemented using trans-dimensional Bayesian inference, building on the earlier wavelet-based BayesWave algorithm. The new algorithm, BayesWaveVoices, outperforms the original for long duration signals. Comment: 13 pages, 12 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2404.11719 Zobrazit plný text záznamu View this record from Arxiv