Monte-Carlo Markov Chain (MCMC) samples for Multiple Source Classifier (MSC) parameters (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 T<sub>eff, 1</sub> of primary from MSC
teff2 float[] phys.temperature.effective K MCMC samples for T<sub>eff, 2</sub> of secondary from MSC
logg1 float[] phys.gravity log(cm.s**-2) MCMC samples for log g<sub>1</sub> of primary from MSC
logg2 float[] phys.gravity log(cm.s**-2) MCMC samples for log g<sub>2</sub> of secondary from MSC
azero float[] phys.absorption
mag MCMC samples for extinction A<sub>0</sub> 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