VizieR

CfA VizieR . ADAC VizieR . Cambridge (UK) VizieR . IUCAA VizieR . INASAN VizieR .

VizieR

Simple TargetList Of TargetsFast Xmatch with large catalogs or Simbad
Target Name (resolved by Sesame) or Position:
 Target dimension:
NB: The epoch used for the query is the original epoch of the table(s)Radius Box size

  
J/MNRAS/503/5263
  Sorting of 4XMM-DR9 sources by machine learning (Zhang+, 2021)
ReadMe+ftp
2021MNRAS.503.5263Z
Similar Catalogs
Post annotation 		img(gal)
1.J/MNRAS/503/5263/table10predicted results of machine learning classifications of 4XMM-DR9 sources (550124 rows)

Simple ConstraintList Of Constraints
 
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)
  Source  Source ID (scrid) (meta.id;meta.main)
  RAJ2000 deg (i) Right ascension in decimal degrees (sc_ra) (J2000) (pos.eq.ra;meta.main)
  DEJ2000 deg (i) Declination in decimal degrees (sc_dec) (J2000) (pos.eq.dec;meta.main)
  ClassX (char) Source classification for the first classifier machine learning method (rotation-forest classifier X-ray information only) (Class_x) (meta.code.class)
  PX  The classification probabilities deducted for sources that only have the X-ray band (P_x) (stat.fit.goodness)
  ClassXO (char) Source classification for the third classifier machine learning method (LogitBoost classifiers X-ray and optical bands information only) (Class_xo) (meta.code.class)
  PXO  (n) The classification probabilities deducted for source that only have the X-ray and optical bands (P_xo) (stat.fit.goodness)
  ClassXI (char) Source classification for the second classifier machine learning method (random-forest classifier X-ray and infrared bands information only) (Class_xi) (meta.code.class)
  PXI  (n) The classification probabilities deducted for sources that only have the X-ray and infrared bands (P_xi) (stat.fit.goodness)
  ClassXIO (char) Source classification for the fourth classifier machine learning method (LogitBoost classifiers X-ray, optical and infrared bands information only) (Class_xio) (meta.code.class)
  PXIO  (n) The classification probabilities deducted for sources that have X-ray, optical and infrared bands (P_xio) (stat.fit.goodness)

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(n) indicates a possible blank or NULL column(i)indexed column
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