MCMC samples for MSC (gaiadr3.mcmc_samples_msc)

The table has 348711151 rows, 12 columns.


This is the DataLink table hosting Monte-Carlo Markov Chain (MCMC) samples for the posterior probability distribution of all parameters derived from the Multiple Source Classifier (MSC, see Section cu8par_apsis_msc in the online documentation). 100 random MCMC samples are provided for each source.The table considers the following parameters:

  • effective temperature Teff, 1 of the primary star
  • effective temperature Teff, 2 of the secondary star
  • surface gravity log g1 of the primary star
  • surface gravity log g2 of the secondary star
  • monochromatic extinction at 547.7~nm A0
  • metallicity [M/H]
  • distance
  • logarithmic posterior probability
  • logarithmic likelihood


If you have used Gaia data in your research, please use the following acknowledgement:

This work has made use of data from the European Space Agency (ESA) mission Gaia (, processed by the Gaia Data Processing and Analysis Consortium (DPAC, Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.

More information can be found on the credit and citation instructions page.


Name Type UCD Unit Description
source_id long

Unique source identifier (unique within a particular Data Release)

solution_id long meta.version

Solution Identifier

nsamples short meta.number

Number of samples in the chain from MSC

teff1 float[] phys.temperature.effective K

MCMC samples for Teff, 1 of primary from MSC

teff2 float[] phys.temperature.effective K

MCMC samples for Teff, 2 of secondary from MSC

logg1 float[] phys.gravity log(cm.s**-2)

MCMC samples for log g1 of primary from MSC

logg2 float[] phys.gravity log(cm.s**-2)

MCMC samples for log g2 of secondary from MSC

azero float[] phys.absorption

MCMC samples for extinction A0 from MSC

mh float[] phys.abund.Fe "dex"

MCMC samples for the metallicity from MSC

distancepc float[] pos.distance pc

MCMC samples for distance from MSC

log_pos float[] stat.probability

MCMC samples for the log-posterior from MSC

log_lik float[] stat.likelihood

MCMC samples for the log-likelihood from MSC