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
\n\nThe 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.
\n\nDescription of contents by filename format:
\n\n<CLUSTER>_<BINARY ID>_.*.h5Bayesian 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/)
\n\n<CLUSTER>_<BINARY ID>_lgQ_period.mrtThe 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
\n\n<CLUSTER>_<BINARY ID>_burnin_period.mrtThe 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).
\n\n<CLUSTER>_<BINARY ID>_cdfstd_period.mrtThe 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%
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All articles, ideas, and software that are relevant for professional astronomers will be accepted. Submissions must be OPEN, and have a DOI already issued.
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