Mass$\unicode{x2013}$spin Re-Parameterization for Rapid Parameter Estimation of Inspiral Gravitational-Wave Signals
Eunsub Lee, Soichiro Morisaki, Hideyuki Tagoshi

TL;DR
This paper introduces a new mass–spin re-parameterization for gravitational-wave parameter estimation that simplifies the posterior distribution, significantly improving the efficiency of MCMC sampling in binary neutron star analyses.
Contribution
The authors develop a novel mass–spin re-parameterization based on principal components of the Fisher matrix, enhancing MCMC efficiency in gravitational-wave source parameter estimation.
Findings
Re-parameterization improves MCMC efficiency by ~10 times for narrow-spin priors.
Re-parameterization improves MCMC efficiency by ~100 times for broad-spin priors.
Method assumes spins are aligned with orbital angular momentum.
Abstract
Estimating the source parameters of gravitational waves from compact binary coalescence(CBC) is a key analysis task in gravitational-wave astronomy. To deal with the increasing detection rate of CBC signals, optimizing the parameter estimation analysis is crucial. The analysis typically employs a stochastic sampling technique such as Markov Chain Monte Carlo(MCMC), where the source parameter space is explored and regions of high Bayesian posterior probability density are found. One of the bottlenecks slowing down the analysis is the non-trivial correlation between masses and spins of colliding objects, which makes the exploration of massspin space extremely inefficient. We introduce a new set of massspin sampling parameters which makes the posterior distribution to be simple in the new parameter space, regardless of the true values of the parameters.…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Gamma-ray bursts and supernovae · Scientific Research and Discoveries
