VARAHA: A Fast Non-Markovian sampler for estimating Gravitational-Wave posteriors

Understand

This article introduces VARAHA, an open-source, fast, non-Markovian sampler for estimating gravitational-wave posteriors.

• VARAHA differs from existing Nested sampling algorithms by gradually discarding regions of low likelihood, rather than gradually sampling regions of high likelihood.
• This alternative mindset enables VARAHA to freely draw samples from anywhere within the high-likelihood region of the parameter space, allowing for analyses to complete in significantly fewer cycles.
• This means that VARAHA can significantly reduce both the wall and CPU time of all analyses.