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  Strong DES lens candidates from neural networks (Jacobs+, 2019)
Post annotation
1.J/ApJS/243/17/table1(c)Strong lens candidates from visual inspection of the neural network-selected sources (511 rows)
2.J/ApJS/243/17/table5(c)*Possible strong lens systems selected by convolutional neural network (CNN) (Note) (743 rows)
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Query by Constraints constraints help applied on Columns (Output Order: + - )
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Column  Constraint Explain   (UCD)
  (ALL)recno  Record number assigned by the VizieR team. Should Not be used for identification. (meta.record)
  (1)Cand (char) Candidate identifier (DESJHHMM+DDMM) (;meta.main)
   (ALL)objID   [61748499/508636686] Object ID, DES Y3A1 coadd object tables (
  (1)RAJ2000 deg (i) Right Ascension, decimal degrees (J2000) (pos.eq.ra;meta.main)
  (1)DEJ2000 deg (i) Declination, decimal degrees (J2000) (pos.eq.dec;meta.main)
  (1)Grade   [2/3] Grade (meta.code.qual)
  (1)z   [0.04/1.6] Redshift (Note 1)   (src.redshift)
  (1)imag mag [15.6/21] DES Y3A1 catalog i band magnitude (phot.mag;em.opt.I)
   (ALL)Notes (char) Note(s) (Note 2)   (meta.note)
  (1)r_z (char) Reference(s) for spectroscopic redshifts (Note 3)   (meta.ref;pos.frame)
  (2)RAJ2000 "h:m:s" (i) Hour of Right Ascension (J2000) (pos.eq.ra;meta.main)
  (2)DEJ2000 "d:m:s" (i) Degree of Declination (J2000) (pos.eq.dec;meta.main)

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