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/ApJ/887/134
  Classification of Fermi blazar cand. from the 4FGL (Kang+, 2019)
Post annotation
img(gal)
1.J/ApJ/887/134/table3(c)The classification of Fermi blazar candidates of an unknown type (BCUs) (1312 rows)
2.J/ApJ/887/134/table1The results of the two-sample test for 1131 BL Lacs and 694 FSRQs (34 rows)
3.J/ApJ/887/134/table2The test accuracy, predict results, and parameters for the optimal combinations (172 rows)

 
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+2)Seq   [1/1312] Sequential running identifier (meta.record)
  (1)4FGL (char) 4FGL Source Name (meta.id;meta.main)
  (1)Cntpt (char) Counterpart name (meta.id)
  (1)C4FGL (char) Optical class (always "bcu") (Note 1)   (meta.code.class)
  (1)CRF (char) Random Forest classification ("bll": 835 occurrences or "fsrq": 477 occurrences) (Note 2)   (src.class)
  (1)PBi-RF   [0/1] Probability BCU i belongs to BL Lac using RF (stat.fit.goodness)
  (1)PFi-RF   [0/1] Probability BCU i belongs to FSRQ using RF (stat.fit.goodness)
  (1)CSVM (char) Support Vector Machines classification ("bll": 858 occurrences or "fsrq": 454 occurrences) (Note 2)   (src.class)
  (1)PBi-SVM   [0.016/1] Probability BCU i belongs to BL Lac using SVM (stat.fit.goodness)
  (1)PFi-SVM   [0.0005/0.99] Probability BCU i belongs to FSRQ using SVM (stat.fit.goodness)

ALL cols
    
 (i)indexed column
  (1)CANN (char) Artificial neural network classification ("bll": 868 occurrences or "fsrq": 444 occurrences) (Note 2)   (src.class)
  (1)PBi-ANN   [0.1/0.9] Probability BCU i belongs to BL Lac using ANN (stat.fit.goodness)
  (1)PFi-ANN   [0.1/0.9] Probability BCU i belongs to FSRQ using ANN (stat.fit.goodness)
  (1)Simbad (char) ask the Simbad data-base about this object (meta.ref.url)
  (1)_RA deg (i) Right Ascension (J2000) from SIMBAD (not part of the original data) (pos.eq.ra;meta.main)
  (1)_DE deg (i) Declination (J2000) from SIMBAD (not part of the original data) (pos.eq.dec;meta.main)
  (2)Param (char) Selected parameter (meta.note)
  (2)D-KS   [0/0.76] Test statistic D for the two-sample Kolmogorov-Smirnov test (stat.fit.param)
  (2)p1-KS   [0/1] p-value (p1) for the two-sample Kolmogorov-Smirnov test (stat.fit.goodness)
  (2)t-tt   [-44/27] t-statistic (t) for the Welch two sample t-test (stat.fit.param)
  (2)df-tt   [693/1767] Degree of freedom for the t-statistic (df) for the Welch two sample t-test (stat.fit.dof)
  (2)p2-tt (char) p-value(p2) for the Welch two sample t-test (stat.fit.goodness)
  (2)W-W   [51341/720456] Continuity correction test statistic (W) for the Wilcoxon rank sum test (stat.fit.param)

ALL cols
    
 (i)indexed column
  (2)p3-W (char) p-value (p3) for the Wilcoxon rank sum test (stat.fit.goodness)
  (2)Gini   [0.01/97.3] The Gini coefficient (stat.fit.param)
  (3)CL (char) Classifier (meta.id;stat.fit)
  (3)Num   [8/17] Number of parameters for the optimal combination (meta.number)
  (3)bll   [812/923] Number of BL Lacs predicted by a supervised classifier (meta.number)
  (3)fsrq   [389/500] Number of FSRQs predicted by a supervised classifier (meta.number)
  (3)Acc   [0.918/0.93] Highest accuracies of each classifier (stat.fit.goodness)
  (3)par1   [1/3] Label of parameter (see Table 1) (meta.id)
  (3)par2   [3/11] Label of parameter (see Table 1) (meta.id)
  (3)par3   [5/12] Label of parameter (see Table 1) (meta.id)
  (3)par4   [6/14] Label of parameter (see Table 1) (meta.id)
  (3)par5   [7/16] Label of parameter (see Table 1) (meta.id)
  (3)par6   [8/19] Label of parameter (see Table 1) (meta.id)

ALL cols
    
 (i)indexed column
  (3)par7   [9/20] Label of parameter (see Table 1) (meta.id)
  (3)par8   [11/23] Label of parameter (see Table 1) (meta.id)
  (3)par9  (n) [12/23] Label of parameter (see Table 1) (meta.id)
  (3)par10  (n) [14/23] Label of parameter (see Table 1) (meta.id)
  (3)par11  (n) [15/23] Label of parameter (see Table 1) (meta.id)
  (3)par12  (n) [17/23] Label of parameter (see Table 1) (meta.id)
  (3)par13  (n) [18/20] Label of parameter (see Table 1) (meta.id)
  (3)par14  (n) [19/21] Label of parameter (see Table 1) (meta.id)
  (3)par15  (n) [20/23] Label of parameter (see Table 1) (meta.id)
  (3)par16  (n) [22/23] Label of parameter (see Table 1) (meta.id)
  (3)par17  (n) [23/23] Label of parameter (see Table 1) (meta.id)

ALL cols
    
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