PyROQ: a Python-based Reduced Order Quadrature Building Code for Fast Gravitational Wave Inference

Abstract

The next generation of gravitational-wave observatories will reach low frequency limits on the orders of a few Hz, thus enabling the detection of gravitational wave signals of very long duration. The run time of standard parameter estimation techniques with these long waveforms can be months or even years, making it impractical with existing Bayesian inference pipelines. Reduced order modeling and reduced order quadrature integration rule have recently been exploited as promising techniques that can greatly reduce parameter estimation computational costs. We describe a Python-based reduced order quadrature building code, PyROQ, which builds the reduced order quadrature data needed to accelerate parameter estimation of gravitational waves. We present the first bases for the IMRPhenomXPHM waveform model of binary-black-hole coalescences, including subdominant harmonic modes and precessing spins effects. Furthermore, the code infrastructure makes it directly applicable to the gravitational wave inference for space-borne detectors such as the Laser Interferometer Space Antenna (LISA).

14 pages, 7 figures, 3 tables

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Cited by in corpus (9)

• Mode-by-mode Relative Binning: Fast Likelihood Estimation for Gravitational Waveforms with Spin-Orbit Precession and Multiple Harmonics
• Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning
• Analysis of a subsolar-mass compact binary candidate from the second observing run of Advanced LIGO
• Fast likelihood evaluation using meshfree approximations for reconstructing compact binary sources
• Efficient Reduced Order Quadrature Construction Algorithms for Fast Gravitational Wave Inference
• Accelerated parameter estimation of supermassive black hole binaries in LISA using a meshfree approximation
• Optimized localization for gravitational-waves from merging binaries
• Reconsidering the consistent use of precessing, higher order multipole models for gravitational wave analyses
• Accurate and efficient simulation-based inference for massive black-hole binaries with LISA