Reconstructing physical parameters from template gravitational wave spectra at LISA: first order phase transitions
Chloe Gowling, Mark Hindmarsh, Deanna C. Hooper, Jes\'us, Torrado

TL;DR
This paper introduces a computationally efficient method to infer physical parameters of early universe phase transitions from gravitational wave spectra observed by LISA, using template-based Bayesian inference.
Contribution
It develops a novel inverse mapping approach to reconstruct physical parameters from empirical templates, reducing computational cost for gravitational wave data analysis.
Findings
Method accurately recovers physical parameters with 95% confidence.
Reconstruction reduces evaluation time significantly.
Effective for SNR around 40 in test cases.
Abstract
A gravitational wave background from a first order phase transition in the early universe may be observable at millihertz gravitational wave (GW) detectors such as the Laser Interferometer Space Antenna (LISA). In this paper we introduce and test a method for investigating LISA's sensitivity to gravitational waves from a first order phase transition using parametrised templates as an approximation to a more complete physical model. The motivation for developing the method is to provide a less computationally intensive way to perform Markov Chain Monte Carlo (MCMC) inference on the thermodynamic parameters of a first order phase transition, or on generally computationally intensive models. Starting from a map between the physical parameters and the parameters of an empirical template, we first construct a prior on the empirical parameters that contains the necessary information about the…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Superconducting and THz Device Technology
