Bayesian Samples and Data Behind Figures: Comprehensive Bayesian Modeling of Tidal Circularization in Open Cluster Binaries part I

Auxiliary data associated with the article "Comprehensive Bayesian Modeling of Tidal Circularization in Open Cluster Binaries part I: M 35, NGC 6819, NGC 188" by Penev, K & Schussler, J

The type of data corresponds to a particular filename format. Bayesian samples are in HDF5 format, directly as saved by the emcee sampler (see https://emcee.readthedocs.io/en/stable/user/backends/). All other files are in AAS-journal style machine readable tables format generated by cdspyreadme python library.

Description of contents by filename format:

<CLUSTER>_<BINARY ID>_.*.h5

Bayesian analysis samples constraining the tidal dissipation efficiency of the given binary. The values of the sampled system and tidal dissipation parameters are stored as blobs (https://emcee.readthedocs.io/en/stable/user/blobs/)

<CLUSTER>_<BINARY ID>_lgQ_period.mrt

The 2.3%, 15.9%, 84.1%, and 97.7% quantiles of \(\log_{10}Q_\star'\) for the given binary as a function of tidal period

<CLUSTER>_<BINARY ID>_burnin_period.mrt

The MCMC burn-in period before the 2.3%, 15.9%, 84.1%, and 97.7% quantiles of \(\log_{10}Q_\star'\) for the given binary are considered converged (see article text).

<CLUSTER>_<BINARY ID>_cdfstd_period.mrt

The standard deviation of the \(CDF(\log_{10}Q_\star')\) for the given binary as a function of tidal period for each of the quantiles. The maximum likelihood value is the target percentile, i.e. one of: 2.3%, 15.9%, 84.1%, and 97.7%