Accelerating parameter estimation of gravitational waves from compact binary coalescence using adaptive frequency resolutions

Abstract

Bayesian parameter estimation of gravitational waves from compact binary coalescence (CBC) typically requires more than millions of evaluations of computationally expensive template waveforms. We propose a technique to reduce the cost of waveform generation by exploiting the chirping behavior of CBC signal. Our technique does not require waveforms at all frequencies in the frequency range used in the analysis, and does not suffer from the fixed cost due to the upsampling of waveforms. Our technique speeds up the parameter estimation of typical binary neutron star signal by a factor of $\mathcal{O}(10)$ for the low-frequency cutoff of $20\mathrm{Hz}$, and $\mathcal{O}(10^2)$ for $5\mathrm{Hz}$. It does not require any offline preparations or accurate estimates of source parameters provided by detection pipelines.

arXiv comment13 pages, 6 figures

References in corpus (45)

• Observation of Gravitational Waves from a Binary Black Hole Merger
• GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
• Advanced Virgo: a 2nd generation interferometric gravitational wave detector
• GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs
• GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run
• dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences
• GW190814: Gravitational Waves from the Coalescence of a 23 M${}_{\odot }$ Black Hole with a 2.6 M${}_{\odot }$ Compact Object
• Exploring the Sensitivity of Next Generation Gravitational Wave Detectors
• A gravitational-wave standard siren measurement of the Hubble constant
• Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy
• Sensitivity Studies for Third-Generation Gravitational Wave Observatories
• Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era
• The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/VIRGO GW170817. II. UV, Optical, and Near-IR Light Curves and Comparison to Kilonova Models
• Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library
• Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo
• The X-ray counterpart to the gravitational wave event GW 170817
• Light Curves of the Neutron Star Merger GW170817/SSS17a: Implications for R-Process Nucleosynthesis
• Illuminating Gravitational Waves: A Concordant Picture of Photons from a Neutron Star Merger
• The Emergence of a Lanthanide-Rich Kilonova Following the Merger of Two Neutron Stars
• Comparison of post-Newtonian templates for compact binary inspiral signals in gravitational-wave detectors
• A Radio Counterpart to a Neutron Star Merger
• Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue
• An introduction to Bayesian inference in gravitational-wave astronomy: parameter estimation, model selection, and hierarchical models
• The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/VIRGO GW170817. V. Rising X-ray Emission from an Off-Axis Jet
• Rapid Bayesian position reconstruction for gravitational-wave transients
• A mildly relativistic wide-angle outflow in the neutron star merger GW170817
• Kilonova from post-merger ejecta as an optical and near-infrared counterpart of GW170817
• The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/VIRGO GW170817. VI. Radio Constraints on a Relativistic Jet and Predictions for Late-Time Emission from the Kilonova Ejecta
• Toward Early-Warning Detection of Gravitational Waves from Compact Binary Coalescence
• First higher-multipole model of gravitational waves from spinning and coalescing black-hole binaries
• Phenomenological model for the gravitational-wave signal from precessing binary black holes with two-spin effects
• Fast prediction and evaluation of gravitational waveforms using surrogate models
• Massively parallel Bayesian inference for transient gravitational-wave astronomy
• J-GEM observations of an electromagnetic counterpart to the neutron star merger GW170817
• Including higher order multipoles in gravitational-wave models for precessing binary black holes
• Fast and Accurate Inference on Gravitational Waves from Precessing Compact Binaries
• Gravitational-wave parameter estimation with autoregressive neural network flows
• A novel scheme for rapid parallel parameter estimation of gravitational waves from compact binary coalescences
• Accelerated gravitational-wave parameter estimation with reduced order modeling
• Parallelized Inference for Gravitational-Wave Astronomy
• Accelerating gravitational wave parameter estimation with multi-band template interpolation
• Accelerating parameter inference with graphics processing units
• Rapid Parameter Estimation of Gravitational Waves from Binary Neutron Star Coalescence using Focused Reduced Order Quadrature
• Gravitational-wave astronomy with a physical calibration model
• Rapid and Robust Parameter Inference for Binary Mergers

Cited by in corpus (40)

• Observation of Gravitational Waves from the Coalescence of a $2.5\text{-}4.5M_{\odot }$ Compact Object and a Neutron Star
• The Science of the Einstein Telescope
• Heterodyned Likelihood for Rapid Gravitational Wave Parameter Inference
• Real-time gravitational-wave inference for binary neutron stars using machine learning
• Normalizing flows as an avenue to study overlapping gravitational wave signals
• Accelerating multimodal gravitational waveforms from precessing compact binaries with artificial neural networks
• Near Real-Time Gravitational Wave Data Analysis of the Massive Black Hole Binary with TianQin
• Parameter estimation methods for analyzing overlapping gravitational wave signals in the third-generation detector era
• Systematic bias due to eccentricity in parameter estimation for merging binary neutron stars
• Using Equation of State Constraints to Classify Low-Mass Compact Binary Mergers
• Rapid pre-merger localization of binary neutron stars in third generation gravitational wave detectors
• Efficient Reduced Order Quadrature Construction Algorithms for Fast Gravitational Wave Inference
• Localization of binary neutron star mergers with a single Cosmic Explorer
• Prompt sky localization of compact binary sources using a meshfree approximation
• Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
• Neural post-Einsteinian framework for efficient theory-agnostic tests of general relativity with gravitational waves
• Rapid inference and comparison of gravitational-wave population models with neural variational posteriors
• Phenomenological model of gravitational self-force enhanced tides in inspiralling binary neutron stars
• Scalable data-analysis framework for long-duration gravitational waves from compact binaries using short Fourier transforms
• GPU-accelerated LISA parameter estimation with full time domain response
• Pinpointing coalescing binary neutron star sources with the IGWN, including LIGO-Aundha
• Inferring small neutron star spins with neutron star-black hole mergers
• Inferring Binary Properties from Gravitational Wave Signals
• Accelerated parameter estimation of supermassive black hole binaries in LISA using a meshfree approximation
• Fast and accurate parameter estimation of high-redshift sources with the Einstein Telescope
• Fast and faithful interpolation of numerical relativity surrogate waveforms using meshfree approximation
• Optimized localization for gravitational-waves from merging binaries
• Measurability of neutron star tidal deformability from merging neutron star-black hole binaries
• Significant challenges for astrophysical inference with next-generation gravitational-wave observatories
• Characterizing Compact-object Binaries in the Lower Mass Gap with Gravitational Waves
• Challenging a binary neutron star merger interpretation of GW230529
• Comparing next-generation detector configurations for high-redshift gravitational wave sources with neural posterior estimation
• Flexible Gravitational-Wave Parameter Estimation with Transformers
• Accelerating gravitational-wave parameterized tests of General Relativity using a multiband decomposition of likelihood
• Probing the peak of star formation with the stochastic background of binary black hole mergers
• Reconsidering the consistent use of precessing, higher order multipole models for gravitational wave analyses
• The Sequential Monte Carlo goes NUTS: Boosting Gravitational-Wave Inference
• Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
• Systematic bias due to eccentricity in parameter estimation for merging binary neutron stars : Spinning case
• Fast Waveform Generation for Gravitational Waves using Evolutionary Algorithms