bilby.core.sampler.dynesty_utils.ACTTrackingRWalk

class bilby.core.sampler.dynesty_utils.ACTTrackingRWalk

Bases: object

Run the MCMC sampler for many iterations in order to reliably estimate the autocorrelation time.

This builds a cache of nact / thin points consistent with the likelihood constraint. While this approach is the most robust, it is not well optimized for parallelised sampling as the length of the MCMC will be different for each parallel process.

__init__()

__call__(args)

Call self as a function.

Methods

__init__()
build_cache()

Attributes

cache
integer_act