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Simple Target
List Of Targets
Fast Xmatch with large catalogs or Simbad
Target
Name (resolved by
Sesame
) or
Position
:
J2000
B1975
B1950
B1900
B1875
B1855
Galactic
Supergal.
Ecl.J2000
Target dimension:
deg
arcmin
arcsec
NB: The epoch used for the query is the original epoch of the table(s)
Radius
Box size
J/ApJ/887/134
1986
Classification of Fermi blazar cand. from the 4FGL (Kang+, 2019)
ReadMe+ftp
2019ApJ...887..134K
Similar Catalogs
Post annotation
1.
J/ApJ/887/134/table3
(c)
The classification of Fermi blazar candidates of an unknown type (BCUs)
(1312 rows)
meta
J/ApJ/887/134/table3
2.
J/ApJ/887/134/table1
The results of the two-sample test for 1131 BL Lacs and 694 FSRQs
(34 rows)
meta
J/ApJ/887/134/table1
3.
J/ApJ/887/134/table2
The test accuracy, predict results, and parameters for the optimal combinations
(172 rows)
meta
J/ApJ/887/134/table2
Simple Constraint
List Of Constraints
Query by
Constraints
applied on Columns
(
Output Order:
+
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)
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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
)
(
RECORD
)
(1+2)
Seq
[1/1312] Sequential running identifier
(
meta.record
)
(
ID_NUMBER
)
(1)
4FGL
(char)
4FGL Source Name
(
meta.id;meta.main
)
(
ID_MAIN
)
(1)
Cntpt
(char)
Counterpart name
(
meta.id
)
(
ID_ASSOCIATED
)
(1)
C4FGL
(char)
Optical class (always "bcu")
(Note 1)
(
meta.code.class
)
(
CLASS_CODE
)
(1)
CRF
(char)
Random Forest classification ("bll": 835 occurrences or "fsrq": 477 occurrences)
(Note 2)
(
src.class
)
(
CLASS_OBJECT
)
(1)
PBi-RF
[0/1] Probability BCU i belongs to BL Lac using RF
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(1)
PFi-RF
[0/1] Probability BCU i belongs to FSRQ using RF
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(1)
CSVM
(char)
Support Vector Machines classification ("bll": 858 occurrences or "fsrq": 454 occurrences)
(Note 2)
(
src.class
)
(
CLASS_OBJECT
)
(1)
PBi-SVM
[0.016/1] Probability BCU i belongs to BL Lac using SVM
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(1)
PFi-SVM
[0.0005/0.99] Probability BCU i belongs to FSRQ using SVM
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
ALL
cols
(i)
indexed column
(1)
CANN
(char)
Artificial neural network classification ("bll": 868 occurrences or "fsrq": 444 occurrences)
(Note 2)
(
src.class
)
(
CLASS_OBJECT
)
(1)
PBi-ANN
[0.1/0.9] Probability BCU i belongs to BL Lac using ANN
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(1)
PFi-ANN
[0.1/0.9] Probability BCU i belongs to FSRQ using ANN
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(1)
Simbad
(char)
ask the
Simbad
data-base about this object
(
meta.ref.url
)
(
DATA_LINK
)
(1)
_RA
deg
(i)
Right Ascension (J2000) from SIMBAD (not part of the original data)
(
pos.eq.ra;meta.main
)
(
POS_EQ_RA_MAIN
)
(1)
_DE
deg
(i)
Declination (J2000) from SIMBAD (not part of the original data)
(
pos.eq.dec;meta.main
)
(
POS_EQ_DEC_MAIN
)
(2)
Param
(char)
Selected parameter
(
meta.note
)
(
ID_PARAM
)
(2)
D-KS
[0/0.76] Test statistic D for the two-sample Kolmogorov-Smirnov test
(
stat.fit.param
)
(
STAT_PARAM
)
(2)
p1-KS
[0/1] p-value (p1) for the two-sample Kolmogorov-Smirnov test
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(2)
t-tt
[-44/27] t-statistic (t) for the Welch two sample t-test
(
stat.fit.param
)
(
STAT_PARAM
)
(2)
df-tt
[693/1767] Degree of freedom for the t-statistic (df) for the Welch two sample t-test
(
stat.fit.dof
)
(
STAT_N-DOF
)
(2)
p2-tt
(char)
p-value(p2) for the Welch two sample t-test
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(2)
W-W
[51341/720456] Continuity correction test statistic (W) for the Wilcoxon rank sum test
(
stat.fit.param
)
(
STAT_PARAM
)
ALL
cols
(i)
indexed column
(2)
p3-W
(char)
p-value (p3) for the Wilcoxon rank sum test
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(2)
Gini
[0.01/97.3] The Gini coefficient
(
stat.fit.param
)
(
STAT_PARAM
)
(3)
CL
(char)
Classifier
(
meta.id;stat.fit
)
(
MODEL_ID
)
(3)
Num
[8/17] Number of parameters for the optimal combination
(
meta.number
)
(
NUMBER
)
(3)
bll
[812/923] Number of BL Lacs predicted by a supervised classifier
(
meta.number
)
(
NUMBER
)
(3)
fsrq
[389/500] Number of FSRQs predicted by a supervised classifier
(
meta.number
)
(
NUMBER
)
(3)
Acc
[0.918/0.93] Highest accuracies of each classifier
(
stat.fit.goodness
)
(
STAT_PROBABILITY
)
(3)
par1
[1/3] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par2
[3/11] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par3
[5/12] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par4
[6/14] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par5
[7/16] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par6
[8/19] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
ALL
cols
(i)
indexed column
(3)
par7
[9/20] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par8
[11/23] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par9
(n)
[12/23] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par10
(n)
[14/23] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par11
(n)
[15/23] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par12
(n)
[17/23] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par13
(n)
[18/20] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par14
(n)
[19/21] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par15
(n)
[20/23] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par16
(n)
[22/23] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
(3)
par17
(n)
[23/23] Label of parameter (see Table 1)
(
meta.id
)
(
ID_NUMBER
)
ALL
cols
(n)
indicates a possible blank or NULL column
(i)
indexed column
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https://cdsannotations.u-strasbg.fr/annotations/vizierTable//
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