Bayesian Framework to Follow-up Continuous Gravitational Wave Candidates from Deep Surveys

Abstract

Broad all-sky searches for continuous gravitational waves have high computational costs and require hierarchical pipelines. The sensitivity of these approaches is set by the initial search and by the number of candidates from that stage that can be followed up. The current follow-up schemes for the deepest surveys require careful tuning and set-up, have a significant human-labor cost and this impacts the number of follow-ups that can be afforded. Here we present and demonstrate a new follow-up framework based on Bayesian parameter estimation for the rapid, highly automated follow-up of candidates produced by the early stages of deep, wide-parameter space searches for continuous waves.

- 19 Pages, 11 Figures - Replaced with journal version

References in corpus (43)

• dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences
• GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run
• Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy
• Data analysis of gravitational-wave signals from spinning neutron stars. I. The signal and its detection
• Discovering the QCD Axion with Black Holes and Gravitational Waves
• Open data from the third observing run of LIGO, Virgo, KAGRA and GEO
• Searching for periodic sources with LIGO
• LIGO Detector Characterization in the Second and Third Observing Runs
• Searching for periodic sources with LIGO. II: Hierarchical searches
• Observation of Gravitational Waves from the Coalescence of a $2.5\text{-}4.5M_{\odot }$ Compact Object and a Neutron Star
• The Hough transform search for continuous gravitational waves
• The generalized F-statistic: multiple detectors and multiple GW pulsars
• Identification and mitigation of narrow spectral artifacts that degrade searches for persistent gravitational waves in the first two observing runs of Advanced LIGO
• Searches for Continuous-Wave Gravitational Radiation
• The search for continuous gravitational waves: metric of the multi-detector F-statistic
• Improving the Sensitivity of Advanced LIGO Using Noise Subtraction
• Characterizing the continuous gravitational-wave signal from boson clouds around Galactic isolated black holes
• Advanced LIGO detector performance in the fourth observing run
• All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO and Advanced Virgo O3 data
• Postprocessing methods used in the search for continuous gravitational-wave signals from the Galactic Center
• Search method for long-duration gravitational-wave transients from neutron stars
• SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries
• Fast and Accurate Sensitivity Estimation for Continuous-Gravitational-Wave Searches
• Search for continuous gravitational waves: Improving robustness versus instrumental artifacts
• Searches for Gravitational Waves from Known Pulsars at Two Harmonics in the Second and Third LIGO-Virgo Observing Runs
• All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems
• Random template banks and relaxed lattice coverings
• Deep learning for clustering of continuous gravitational wave candidates
• Deep Einstein@Home all-sky search for continuous gravitational waves in LIGO O3 public data
• Hierarchical multi-stage MCMC follow-up of continuous gravitational wave candidates
• Parameter-space metric for all-sky semicoherent searches for gravitational-wave pulsars
• Loosely coherent searches for sets of well-modeled signals
• Hierarchical follow-up of sub-threshold candidates of an all-sky Einstein@Home search for continuous gravitational waves on LIGO sixth science run data
• Results from high-frequency all-sky search for continuous gravitational waves from small-ellipticity sources
• Continuous gravitational waves from Galactic neutron stars: demography, detectability and prospects
• Identification and removal of non-Gaussian noise transients for gravitational wave searches
• Application of a hierarchical MCMC follow-up to Advanced LIGO continuous gravitational-wave candidates
• Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates
• Spherical ansatz for parameter-space metrics
• Density-clustering of continuous gravitational wave candidates from large surveys
• Bayesian $\mathcal{F}$-statistic-based parameter estimation of continuous gravitational waves from known pulsars
• Toward a computationally-efficient follow-up pipeline for blind continuous gravitational-wave searches
• Search for continuous gravitational waves from unknown neutron stars in binary systems with long orbital periods in O3 data

Cited by in corpus (1)

• High-frequency continuous gravitational waves searched in LIGO O3 public data with Einstein@Home