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 Machine learning metallicity predictions using SDSS (Miller, 2015)
Post annotation
1.J/ApJ/811/30/table3Final metallicity predictions for field stars (12569529 rows)

Query by Constraints constraints help applied on Columns (Output Order: + - )
ShowSortColumn  Constraint Explain   (UCD)
  recno  Record number assigned by the VizieR team. Should Not be used for identification. (meta.record)
  SDSS (char) SDSS object name ( (;meta.main)
  objID  Object ID from the SDSS DR10 PhotoObjAll table (
  RAJ2000 "h:m:s" Hour of Right Ascension (J2000) (pos.eq.ra)
  DEJ2000 "d:m:s" Degree of Declination (J2000) (pos.eq.dec)
  Teff K [4500/6988] Photometric Teff (Note 1)   (phot)
  [Fe/H]1 [-] [-2.5/0.5] Photometric [Fe/H] using Support Vector Machine (SVM)-regression model (phys.abund.Fe;meta.modelled)
  [Fe/H]2 [-] [-3.6/0.4] Photometric [Fe/H] using synthetic-oversampling (phys.abund.Fe)
  rho   [0.03/28.6] Proximity Measure (ρ); given star to the training set (Note 2)   (
  Sloan  Display the online SDSS data for this object (meta.ref.url)
  _RA deg Positions from SDSS names (right ascension part) (pos.eq.ra;meta.main)
  _DE deg Positions from SDSS names (declination part) (pos.eq.dec;meta.main)

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