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/A+A/660/A87
  Machine learning methods with Fermi-LAT catalogs (Bhat+, 2022)
ReadMe+ftp
2022A&A...660A..87B
Similar Catalogs
Post annotation 		img(gal)
1.J/A+A/660/A87/cat1(c)PSR candidates using both catalogs (29 rows)
2.J/A+A/660/A87/cat2(c)3FGL 2-class classification (3034 rows)
3.J/A+A/660/A87/cat3(c)3FGL 2-class using SMOTE (3034 rows)
4.J/A+A/660/A87/cat4(c)3FGL 3-class classification (3034 rows)
5.J/A+A/660/A87/cat5(c)3FGL 3-class using SMOTE (3034 rows)
6.J/A+A/660/A87/cat6(c)OTHER candidates using 4FGL-DR2 (30 rows)
7.J/A+A/660/A87/cat74FGL-DR2 2-class classification (5788 rows)
8.J/A+A/660/A87/cat84FGL-DR2 2-class using SMOTE (5788 rows)
9.J/A+A/660/A87/cat94FGL-DR2 3-class classification (5788 rows)
10.J/A+A/660/A87/cat104FGL-DR2 3-class using SMOTE (5788 rows)

Simple ConstraintList Of Constraints
 
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+6+7+8+9+10)4FGL (char) Source Name in 4FGL (SourceName4FGL) (meta.id;meta.main)
  (1+2+3+4+5+6)GLON deg 4FGL Galactic longitude (GLON_4FGL) (pos.galactic.lon;meta.main)
   (ALL)GLAT deg 4FGL Galactic latitude (GLAT_4FGL) (pos.galactic.lat;meta.main)
  (1+2+3+4+5+7+8+9+10)ln(EF100) [mW/m2] 4FGL Energy flux from 100MeV to 100GeV (ln(EnergyFlux100)4FGL) (phot.flux.density;em.gamma.hard)
  (1+2+3+4+5+7+8+9+10)ln(e_EF100) [mW/m2] Error on ln(EF100) (ln(UncEnergyFlux100)_4FGL) (stat.error)
  (1+7+8+9+10)ln(E0) [MeV] Energy at which error on differential flux is minimal (ln(PivotEnergy)4FGL) (phys.energy)
  (1+7+8+9+10)LPIndex  4FGL Photon index at pivot energy E0 (LPIndex4FGL) (meta.code;spect.index)
  (1+7+8+9+10)e_LPIndex  Error on LPIndex (UncLPIndex_4FGL) (stat.error)
  (1+7+8+9+10)LPbeta  4FGL Curvature parameter (LPbeta4FGL) (stat.fit.param)
  (1+2+3+4+5+7+8+9+10)SigCurv  4FGL Significance (LPSigCurv4FGL) (stat.fit.goodness)

ALL cols		    
 (i)indexed column
  (1+2+3+4+5+7+8+9+10)ln(VI)  4FGL variability index (ln(VariabilityIndex)4FGL) (src.var.index)
  (1+2+3+4+5+7+8+9+10)HR12  4FGL hardness ratio, band 1, 2 (50-100MeV, 100-300MeV) (HR12_4FGL) (phot.flux;arith.ratio)
  (1+2+3+4+5+7+8+9+10)HR23  4FGL hardness ratio, bands 2, 3 (100-300MeV, 300Mev-1GeV) (HR23_4FGL) (phot.flux;arith.ratio)
  (1+2+3+4+5+7+8+9+10)HR34  4FGL hardness ratio, bands 3, 4 (300Mev-1GeV, 1-3GeV) (HR34_4FGL) (phot.flux;arith.ratio)
  (1+2+3+4+5+7+8+9+10)HR45  4FGL hardness ratio, bands 4, 5 (1-3GeV, 3-10GeV) (HR45_4FGL) (phot.flux;arith.ratio)
  (1+7+8+9+10)HR56  4FGL hardness ratio, bands 5, 6 (3-10GeV, 10-30GeV) (HR56_4FGL) (phot.flux;arith.ratio)
  (1+7+8+9+10)HR67  4FGL hardness ratio, bands 6, 7 (10-30GeV, 30-300GeV (HR67_4FGL) (phot.flux;arith.ratio)
  (1+7+8+9+10)Cat (char) [UNAS] 4FGL category (Category_4FGL) (src.class)
  (1+7+8+9+10)Class (char) [None] 4FGL Class (Class_4FGL) (src.class)
  (1+7+8+9+10)AssocFGL (char) Past associations in Fermi LAT (ASSOC_FGL) (meta.id.assoc)
  (1)AssocFHL (char) Past associations in FHL (ASSOC_FHL) (meta.id.assoc)
  (1)AGN-BDT-4FGL  Probability of being an AGN with BDT being the mac learning method and 4FGL the catalog (AGNBDT4FGL) (stat.fit.goodness)
  (1)e_AGN-BDT-4FGL  Error on AGN-BDT-4FGL (AGNBDTSTD_4FGL) (stat.error)

ALL cols		    
 (i)indexed column
  (1)PSR-BDT-4FGL  Probability of being an PSR with BDT being the mac learning method and 4FGL (PSRBDT4FGL) (stat.fit.goodness)
  (1)e_PSR-BDT-4FGL  Error on PSR-BDT-4FGL (PSRBDTSTD_4FGL) (stat.error)
  (1)AGN-NN-4FGL  Probability of being an AGN with NN being the mac learning method and 4FGL the catalog (AGNNN4FGL) (stat.fit.goodness)
  (1)e_AGN-NN-4FGL  Error on AGN-NN-4FGL (AGNNNSTD_4FGL) (stat.error)
  (1)PSR-NN-4FGL  Probability of being an PSR with NN being the mac learning method and 4FGL the catalog (PSRNN4FGL) (stat.fit.goodness)
  (1)e_PSR-NN-4FGL  Error on PSR-NN-4FGL (PSRNNSTD_4FGL) (stat.error)
  (1)AGN-RF-4FGL  Probability of being an AGN with RF being the mac learning method and 4FGL the catalog (AGNRF4FGL) (stat.fit.goodness)
  (1)e_AGN-RF-4FGL  Error on AGN-RF-4FGL (AGNRFSTD_4FGL) (stat.error)
  (1)PSR-RF-4FGL  Probability of being an PSR with RF being the mac learning method and 4FGL the catalog (PSRRF4FGL) (stat.fit.goodness)
  (1)e_PSR-RF-4FGL  Error on PSR-RF-4FGL (PSRRFSTD_4FGL) (stat.error)
  (1)AGN-LR-4FGL  Probability of being an AGN with LR being the mac learning method and 4FGL the catalog (AGNLR4FGL) (stat.fit.goodness)
  (1)e_AGN-LR-4FGL  Error on AGN-LR-4FGL (AGNLRSTD_4FGL) (stat.error)
  (1)PSR-LR-4FGL  Probability of being an PSR with LR being the mac learning method and 4FGL the catalog (PSRLR4FGL) (stat.fit.goodness)

ALL cols		    
 (i)indexed column
  (1)e_PSR-LR-4FGL  Error on PSR-LR-4FGL (PSRLRSTD_4FGL) (stat.error)
  (1)AGN-BDT-O-4FGL  Probability of being an AGN with BDT_O being the mac learning method and 4FGL the catalog (AGNBDTO_4FGL) (stat.fit.goodness)
  (1)e_AGN-BDT-O-4FGL  Error on AGN-BDT-O-4FGL (AGNBDTSTDO4FGL) (stat.error)
  (1)PSR-BDT-O-4FGL  Probability of being an PSR with BDT_O being the mac learning method and 4FGL the catalog (PSRBDTO_4FGL) (stat.fit.goodness)
  (1)e_PSR-BDT-O-4FGL  Error on PSR-BDT-O-4FGL (PSRBDTSTDO4FGL) (stat.error)
  (1)AGN-NN-O-4FGL  Probability of being an AGN with NN_O being the mac learning method and 4FGL the catalog (AGNNNO_4FGL) (stat.fit.goodness)
  (1)e_AGN-NN-O-4FGL  Error on AGN-NN-O-4FGL (AGNNNSTDO4FGL) (stat.error)
  (1)PSR-NN-O-4FGL  Probability of being an PSR with NN_O being the mac learning method and 4FGL the catalog (PSRNNO_4FGL) (stat.fit.goodness)
  (1)e_PSR-NN-O-4FGL  Error on PSR-NN-O-4FGL (PSRNNSTDO4FGL) (stat.error)
  (1)AGN-RF-O-4FGL  Probability of being an AGN with RF_O being the mac learning method and 4FGL the catalog (AGNRFO_4FGL) (stat.fit.goodness)
  (1)e_AGN-RF-O-4FGL  Error on AGN-RF-O-4FGL (AGNRFSTDO4FGL) (stat.error)
  (1)PSR-RF-O-4FGL  Probability of being an PSR with RF_O being the mac learning method and 4FGL the catalog (PSRRFO_4FGL) (stat.fit.goodness)
  (1)e_PSR-RF-O-4FGL  Error on PSR_RF-O-4FGL (PSRRFSTDO4FGL) (stat.error)

ALL cols		    
 (i)indexed column
  (1)AGN-LR-O-4FGL  Probability of being an AGN with LR_O being the mac learning method and 4FGL the catalog (AGNLRO_4FGL) (stat.fit.goodness)
  (1)e_AGN-LR-O-4FGL  Error on AGN-LR-O-4FGL (AGNLRSTDO4FGL) (stat.error)
  (1)PSR-LR-O-4FGL  Probability of being an PSR with LR_O being the mac learning method and 4FGL the catalog (PSRLRO_4FGL) (stat.fit.goodness)
  (1)e_PSR-LR-O-4FGL  Error on PSR-LR-O_4FGL (PSRLRSTDO4FGL) (stat.error)
  (1+6+7+9+10)Flags4FGL  4FGL flags (Flags_4FGL) (meta.code.error)
  (1+6)CatProb4FGL (char) [PSR] Category based on association in 4FGl-DR2 (CategoryProb4FGL) (src.class)
  (1+2+3+4+5)3FGL (char) Source Name in 3FGL (SourceName3FGL) (meta.id)
  (1)GLON3 deg 3FGL Galactic longitude (GLON_3FGL) (pos.galactic.lon)
  (1)GLAT3 deg 3FGL Galactic latitude (GLAT_3FGL) (pos.galactic.lat)
  (1)ln(EF100)3FGL  3FGL Energy flux from 100MeV to 100GeV (ln(EnergyFlux100)3FGL) (phot.flux.density)
  (1)ln(e_EF100)3FGL  Error on EF100 (ln(UncEnergyFlux100)_3FGL) (stat.error)
  (1)ln(SigCurve)3FGL  3FGL Significance (ln(SignifCurve)3FGL) (stat.fit.goodness)
  (1)ln(VI)3FGL  3FGL variability index (ln(VariabilityIndex)3FGL) (src.var.index)

ALL cols		    
 (i)indexed column
  (1)500MeVI3FGL  Index at 500 MeV for 3FGL catalog (500MeVIndex3FGL) (spect.index)
  (1)HR12-3FGL  3FGL hardness ratio, bands 1, 2 (100-300MeV, 300-1000MeV) (HR12_3FGL) (phot.flux;arith.ratio)
  (1)HR23-3FGL  3FGL hardness ratio, bands 2, 3 (300-1000MeV, 1-3GeV) (HR23_3FGL) (phot.flux;arith.ratio)
  (1)HR34-3FGL  3FGL hardness ratio, bands 3, 4 (1-3GeV, 3-10GeV) (HR34_3FGL) (phot.flux;arith.ratio)
  (1)HR45-3FGL  3FGL hardness ratio, bands 4, 5 (3-10GeV, 10-100GeV) (HR45_3FGL) (phot.flux;arith.ratio)
  (1+2+3+4+5)Cat3FGL (char) [UNAS] 3FGL category (Category_3FGL) (src.class)
  (1+2+3+4+5)Class3FGL (char) [None] 3FGL Class (CLASS_3FGL) (src.class)
  (1)E0-3FGL MeV 3FGL Energy at which error on differential flux is minimal (Pivot_Energy) (em.energy)
  (1+2)SpType (char) [LogParabola] Type of spectral fit (Spectrum_Type) (meta.note)
  (1+5)Flag3FGL  3FGL flags (Flags_3FGL) (meta.code.error)
  (1)AGN-BDT-3FGL  3FGL Probability of being an AGN with BDT being the mac learning method and 3FGL the catalog (AGNBDT3FGL) (stat.fit.goodness)
  (1)e_AGN-BDT-3FGL  Error on AGN-BDT-3FGL (AGNBDTSTD_3FGL) (stat.error)
  (1)PSR-BDT-3FGL  3FGL Probability of being an PSR with BDT being the mac learning method and 3FGL the catalog (PSRBDT3FGL) (stat.fit.goodness)

ALL cols		    
 (i)indexed column
  (1)e_PSR-BDT-3FGL  Error on PSR-BDT-3FGL (PSRBDTSTD_3FGL) (stat.error)
  (1)AGN-NN-3FGL  3FGL Probability of being an AGN with NN being the mac learning method and 3FGL the catalog (AGNNN3FGL) (stat.fit.goodness)
  (1)e_AGN-NN-3FGL  Error on AGN-NN-3FGL (AGNNNSTD_3FGL) (stat.error)
  (1)PSR-NN-3FGL  3FGL Probability of being an PSR with NN being the mac learning method and 3FGL the catalog (PSRNN3FGL) (stat.fit.goodness)
  (1)e_PSR-NN-3FGL  Error on PSR-NN-3FGL (PSRNNSTD_3FGL) (stat.error)
  (1)AGN-RF-3FGL  3FGL Probability of being an AGN with RF being the mac learning method and 3FGL the catalog (AGNRF3FGL) (stat.fit.goodness)
  (1)e_AGN-RF-3FGL  Error on AGN-RF-3FGL (AGNRFSTD_3FGL) (stat.error)
  (1)PSR-RF-3FGL  3FGL Probability of being an PSR with RF being the mac learning method and 3FGL the catalog (PSRRF3FGL) (stat.fit.goodness)
  (1)e_PSR-RF-3FGL  Error on PSR_RF-3FGL (PSRRFSTD_3FGL) (stat.error)
  (1)AGN-LR-3FGL  3FGL Probability of being an AGN with LR being the mac learning method and 3FGL the catalog (AGNLR3FGL) (stat.fit.goodness)
  (1)e_AGN-LR-3FGL  Error on AGN-LR-3FGL (AGNLRSTD_3FGL) (stat.error)
  (1)PSR-LR-3FGL  3FGL Probability of being an PSR with LR being the mac learning method and 3FGL the catalog (PSRLR3FGL) (stat.fit.goodness)
  (1)e_PSR-LR-3FGL  Error on PSR-LR-3FGL (PSRLRSTD_3FGL) (stat.error)

ALL cols		    
 (i)indexed column
  (1)AGN-BDT-O-3FGL  3FGL Probability of being an AGN with BDT_O being the mac learning method and 3FGL the catalog (AGNBDTO_3FGL) (stat.fit.goodness)
  (1)e_AGN-BDT-O-3FGL  Error on AGN-BDT-O-3FGL (AGNBDTSTDO3FGL) (stat.error)
  (1)PSR-BDT-O-3FGL  3FGL Probability of being an PSR with BDT_O being the mac learning method and 3FGL the catalog (PSRBDTO_3FGL) (stat.fit.goodness)
  (1)e_PSR-BDT-O-3FGL  Error on PSR-BDT-O-3FGL (PSRBDTSTDO3FGL) (stat.error)
  (1)AGN-NN-O-3FGL  3FGL Probability of being an AGN with NN_O being the mac learning method and 3FGL the catalog (AGNNNO_3FGL) (stat.fit.goodness)
  (1)e_AGN-NN-O-3FGL  Error on AGN-NN-O-3FGL (AGNNNSTDO3FGL) (stat.error)
  (1)PSR-NN-O-3FGL  3FGL Probability of being an PSR with NN_O being the mac learning method and 3FGL the catalog (PSRNNO_3FGL) (stat.fit.goodness)
  (1)e_PSR-NN-O-3FGL  Error on PSR-NN-O-3FGL (PSRNNSTDO3FGL) (stat.error)
  (1)AGN-RF-O-3FGL  3FGL Probability of being an AGN with RF_O being the mac learning method and 3FGL the catalog (AGNRFO_3FGL) (stat.fit.goodness)
  (1)e_AGN-RF-O-3FGL  Error on AGN-RF-O-3FGL (AGNRFSTDO3FGL) (stat.error)
  (1)PSR-RF-O-3FGL  3FGL Probability of being an PSR with RF_O being the mac learning method and 3FGL the catalog (PSRRFO_3FGL) (stat.fit.goodness)
  (1)e_PSR-RF-O-3FGL  Error on PSR-RF-O-3FGL (PSRRFSTDO3FGL) (stat.error)
  (1)AGN-LR-O-3FGL  3FGL Probability of being an AGN with LR_O being the mac learning method and 3FGL the catalog (AGNLRO_3FGL) (stat.fit.goodness)

ALL cols		    
 (i)indexed column
  (1)e_AGN-LR-O-3FGL  Error on AGN-LR-O-3FGL (AGNLRSTDO3FGL) (stat.error)
  (1)PSR-LR-O-3FGL  3FGL Probability of being an PSR with LR_O being the mac learning method and 3FGL the catalog (PSRLRO_3FGL) (stat.fit.goodness)
  (1)e_PSR-LR-O-3FGL  Error on PSR-LR-O-3FGL (PSRLRSTDO3FGL) (stat.error)
  (1+6)CatProb3FGL (char) [PSR] Category based on association in 3FGL (CategoryProb3FGL) (src.class)
  (1)RAPdeg deg (n) Parkes Right ascension (J2000) (RAJ2000_Parkes) (Note 1)   (pos.eq.ra)
  (1)DEPdeg deg (n) Parkes Declination (J2000) (DEJ2000_Parkes) (Note 1)   (pos.eq.dec)
  (1)Tint (char) min Parkes Integration time(s) (Tint) (Note 1)   (time.epoch)
  (1)DMmax pc/cm3 (n) Parkes Maximum trial dispersion measure (DMmax) (Note 1)   (phys.dispMeasure)
  (1)SepP arcsec (n) Separation Parkes (Separation_Parkes(arcsec)) (Note 1)   (pos.angDistance)
  (1)CatP34FGL (char) 4FGL Category (CategoryProb3class_4FGL) (src.class)
  (1)PSRtot4FGL  4FGL Sum of PSR probabilities of all methods (PSRTOTAL3class_4FGL) (stat.fit.goodness)
  (1)_RA deg (i) Positions from Galactic ones (right ascension part) (pos.eq.ra;meta.main)
  (1)_DE deg (i) Positions from Galactic ones (declination part) (pos.eq.dec;meta.main)

ALL cols		    
(n) indicates a possible blank or NULL column(i)indexed column
  (2+3+4+5)500MeVI  Index at 500 MeV for 3FGL catalog (500MeV_Index) (spect.index)
  (2)E0 MeV 3FGL Energy at which error on differential flux is minimal (Pivot_Energy) (em.energy)
  (2+3+7+8+9+10)Assoc1 (char) Association (ASSOC1) (meta.id.assoc)
  (2+3+4)Flags3FGL  3FGL flags (Flags_3FGL) (meta.code.error)
  (2+4+7+9)AGN-BDT  Probability of being an AGN with BDT being the mac learning method and 3FGL the catalog (AGN_BDT) (stat.fit.goodness)
  (2+4+7+9)e_AGN-BDT  Error on AGN-BDT (AGNBDTSTD) (stat.error)
  (2+4+7+9)PSR-BDT  Probability of being an PSR with BDT being the mac learning method and 3FGL the catalog (PSR_BDT) (stat.fit.goodness)
  (2+4+7+9)e_PSR-BDT  Error on PSR-BDT (PSRBDTSTD) (stat.error)
  (2+4+7+9)AGN-NN  Probability of being an AGN with NN being the mac learning method and 3FGL the catalog (AGN_NN) (stat.fit.goodness)
  (2+4+7+9)e_AGN-NN  Error on AGN-NN (AGNNNSTD) (stat.error)
  (2+4+7+9)PSR-NN  Probability of being an AGN with PSR being the mac learning method and 3FGL the catalog (PSR_NN) (stat.fit.goodness)
  (2+4+7+9)e_PSR-NN  Error on PSR-NN (PSRNNSTD) (stat.error)
  (2+4+7+9)AGN-RF  Probability of being an AGN with RF being the mac learning method and 3FGL the catalog (AGN_RF) (stat.fit.goodness)

ALL cols		    
(n) indicates a possible blank or NULL column(i)indexed column
  (2+4+7+9)e_AGN-RF  Error on AGN-RF (AGNRFSTD) (stat.error)
  (2+4+7+9)PSR-RF  Probability of being an AGN with PSR being the mac learning method and 3FGL the catalog (PSR_RF) (stat.fit.goodness)
  (2+4+7+9)e_PSR-RF  Error on PSR-RF (PSRRFSTD) (stat.error)
  (2+4+7+9)AGN-LR  Probability of being an AGN with LR being the mac learning method and 3FGL the catalog (AGN_LR) (stat.fit.goodness)
  (2+4+7+9)e_AGN-LR  Error on AGN-LR (AGNLRSTD) (stat.error)
  (2+4+7+9)PSR-LR  Probability of being an PSR with LR being the mac learning method and 3FGL the catalog (PSR_LR) (stat.fit.goodness)
  (2+4+7+9)e_PSR-LR  Error on PSR-LR (PSRLRSTD) (stat.error)
  (2+4+7+9)AGN-BDT-O  Probability of being an AGN with DTB_O being the mac learning method and 3FGL the catalog (AGNBDTO) (stat.fit.goodness)
  (2+4+7+9)e_AGN-BDT-O  Error on AGN-BDT-O (AGNBDTSTD_O) (stat.error)
  (2+4+7+9)PSR-BDT-O  Probability of being an PSR with DTB_O being the mac learning method and 3FGL the catalog (PSRBDTO) (stat.fit.goodness)
  (2+4+7+9)e_PSR-BDT-O  Error on PSR-BDT-O (PSRBDTSTD_O) (stat.error)
  (2+4+7+9)AGN-NN-O  Probability of being an AGN with NN_O being the mac learning method and 3FGL the catalog (AGNNNO) (stat.fit.goodness)
  (2+4+7+9)e_AGN-NN-O  Error on AGN-NN-O (AGNNNSTD_O) (stat.error)

ALL cols		    
(n) indicates a possible blank or NULL column(i)indexed column
  (2+4+7+9)PSR-NN-O  Probability of being an PSR with NN_O being the mac learning method and 3FGL the catalog (PSRNNO) (stat.fit.goodness)
  (2+4+7+9)e_PSR-NN-O  Error on PSR-NN-O (PSRNNSTD_O) (stat.error)
  (2+4+7+9)AGN-RF-O  Probability of being an AGN with RF_O being the mac learning method and 3FGL the catalog (AGNRFO) (stat.fit.goodness)
  (2+4+7+9)e_AGN-RF-O  Error on AGN-RF-O (AGNRFSTD_O) (stat.error)
  (2+4+7+9)PSR-RF-O  Probability of being an PSR with RF_O being the mac learning method and 3FGL the catalog (PSRRFO) (stat.fit.goodness)
  (2+4+7+9)e_PSR-RF-O  Error on PSR-RF-O (PSRRFSTD_O) (stat.error)
  (2+4+7+9)AGN-LR-O  Probability of being an AGN with LR_O being the mac learning method and 3FGL the catalog (AGNLRO) (stat.fit.goodness)
  (2+4+7+9)e_AGN-LR-O  Error on AGN-LR-O-BDT (AGNLRSTD_O) (stat.error)
  (2+4+7+9)PSR-LR-O  Probability of being an PSR with LR_O being the mac learning method and 3FGL the catalog (PSRLRO) (stat.fit.goodness)
  (2+4+7+9)e_PSR-LR-O  Error on PSR-LR-O-BDT (PSRLRSTD_O) (stat.error)
  (2+3+4+5+7+8+9+10)FlagMiss  Missing values flag (MissingValuesFlag) (meta.code.error)
  (2+4+7+9)CatProb (char) Category probability (Category_Prob) (src.class)
  (2+3+4+5)_RA.icrs deg (n)(i) Right Ascension (ICRS, epoch 2000) computed by CDS (pos.eq.ra)

ALL cols		    
(n) indicates a possible blank or NULL column(i)indexed column
  (2+3+4+5)_DE.icrs deg (n)(i) Declination (ICRS, epoch 2000) computed by CDS (pos.eq.dec)
  (3+5+8+10)AGN-BDT-S  Probability of being an AGN with BDT_S being the mac learning method and 3FGL the catalog (AGNBDTS) (stat.fit.goodness)
  (3+5+8+10)e_AGN-BDT-S  Error on AGN-BDT-S (AGNBDTSTD_S) (stat.error)
  (3+5+8+10)PSR-BDT-S  Probability of being an PSR with BDT_S being the mac learning method and 3FGL the catalog (PSRBDTS) (stat.fit.goodness)
  (3+5+8+10)e_PSR-BDT-S  Error on PSR-BDT-S (PSRBDTSTD_S) (stat.error)
  (3+5+8+10)AGN-NN-S  Probability of being an AGN with NNS being the mac learning method and 3FGL the catalog (AGNNNS) (stat.fit.goodness)
  (3+5+8+10)e_AGN-NN-S  Error on AGN-NN-S (AGNNNSTD_S) (stat.error)
  (3+5+8+10)PSR-NN-S  Probability of being an PSR with NNS being the mac learning method and 3FGL the catalog (PSRNNS) (stat.fit.goodness)
  (3+5+8+10)e_PSR-NN-S  Error on PSR-NN-S (PSRNNSTD_S) (stat.error)
  (3+5+8+10)AGN-RF-S  Probability of being an AGN with RF_S being the mac learning method and 3FGL the catalog (AGNRFS) (stat.fit.goodness)
  (3+5+8+10)e_AGN-RF-S  Error on AGN-RFS (AGNRFSTD_S) (stat.error)
  (3+5+8+10)PSR-RF-S  Probability of being an PSR with RF_S being the mac learning method and 3FGL the catalog (PSRRFS) (stat.fit.goodness)
  (3+5+8+10)e_PSR-RF-S  Error on PSR-RFS (PSRRFSTD_S) (stat.error)

ALL cols		    
(n) indicates a possible blank or NULL column(i)indexed column
  (3+5+8+10)AGN-LR-S  Probability of being an AGN with LR_S being the mac learning method and 3FGL the catalog (AGNLRS) (stat.fit.goodness)
  (3+5+8+10)e_AGN-LR-S  Error on AGN-LRS (AGNLRSTD_S) (stat.error)
  (3+5+8+10)PSR-LR-S  Probability of being an PSR with LR_S being the mac learning method and 3FGL the catalog (PSRLRS) (stat.fit.goodness)
  (3+5+8+10)e_PSR-LR-S  Error on PSR-LRS (PSRLRSTD_S) (stat.error)
  (4+9)OTHER-BDT-O  Probability of being an OTHER with BDT_O being the mac learning method and 3FGL the catalog (OTHERBDTO) (stat.fit.goodness)
  (4+9)e_OTHER-BDT-O  Error on OTHER-BDT-O (OTHERBDTSTD_O) (stat.error)
  (4+9)OTHER-NN-O  Probability of being an OTHER with NN_O being the mac learning method and 3FGL the catalog (OTHERNNO) (stat.fit.goodness)
  (4+9)e_OTHER-NN-O  Error on OTHER-NN-O (OTHERNNSTD_O) (stat.error)
  (4+9)OTHER-RF-O  Probability of being an OTHER with RF_O being the mac learning method and 3FGL the catalog (OTHERRFO) (stat.fit.goodness)
  (4+9)e_OTHER-RF-O  Error on OTHER-RF-O (OTHERRFSTD_O) (stat.error)
  (4+9)OTHER-LR-O  Probability of being an OTHER with LR_O being the mac learning method and 3FGL the catalog (OTHERLRO) (stat.fit.goodness)
  (4+9)e_OTHER-LR-O  Error on OTHER-LR-O (OTHERLRSTD_O) (stat.error)
  (4+9)OTHER-BDT  Probability of being an OTHER with BDT being the mac learning method and 3FGL the catalog (OTHER_BDT) (stat.fit.goodness)

ALL cols		    
(n) indicates a possible blank or NULL column(i)indexed column
  (4+9)e_OTHER-BDT  Error on OTHER-BDT (OTHERBDTSTD) (stat.error)
  (4+9)OTHER-NN  Probability of being an OTHER with NN being the mac learning method and 3FGL the catalog (OTHER_NN) (stat.fit.goodness)
  (4+9)e_OTHER-NN  Error on OTHER-NN (OTHERNNSTD) (stat.error)
  (4+9)OTHER-RF  Probability of being an OTHER with RF being the mac learning method and 3FGL the catalog (OTHER_RF) (stat.fit.goodness)
  (4+9)e_OTHER-RF  Error on OTHER-RF (OTHERRFSTD) (stat.error)
  (4+9)OTHER-LR  Probability of being an OTHER with LR being the mac learning method and 3FGL the catalog (OTHER_LR) (stat.fit.goodness)
  (4+9)e_OTHER-LR  Error on OTHER-LR (OTHERLRSTD) (stat.error)
  (5+10)OTHER-BDT-S  Probability of being an OTHER with BDT_S being the mac learning method and 3FGL the catalog (OTHERBDTS) (stat.fit.goodness)
  (5+10)e_OTHER-BDT-S  Error on OTHER-BDT-S (OTHERBDTSTD_S) (stat.error)
  (5+10)OTHER-NN-S  Probability of being an OTHER with NN_S being the mac learning method and 3FGL the catalog (OTHERNNS) (stat.fit.goodness)
  (5+10)e_OTHER-NN-S  Error on OTHER-NN-S (OTHERNNSTD_S) (stat.error)
  (5+10)OTHER-RF-S  Probability of being an OTHER with RF_S being the mac learning method and 3FGL the catalog (OTHERRFS) (stat.fit.goodness)
  (5+10)e_OTHER-RF-S  Error on OTHER-RF-S (OTHERRFSTD_S) (stat.error)

ALL cols		    
(n) indicates a possible blank or NULL column(i)indexed column
  (5+10)OTHER-LR-S  Probability of being an OTHER with LR_S being the mac learning method and 3FGL the catalog (OTHERLRS) (stat.fit.goodness)
  (5+10)e_OTHER-LR-S  Error on OTHER-LR-S (OTHERLRSTD_S) (stat.error)
  (6)Assoc-FGL (char) Associated other FGL source (ASSOC_FGL) (meta.id.assoc)
  (6)OTHER-TOTAL  Sum of OTHER probabilities of all methods (OTHER_TOTAL) (stat.probability)
  (6)e_OTHER-TOTAL  Error on OTHER_TOTAL (OTHERTOTALSTD) (stat.error)
  (6)RAJ2000 deg (i) Right ascension (J2000) (RAJ2000) (pos.eq.ra;meta.main)
  (6)DEJ2000 deg (i) Declination J2000) (DEJ2000) (pos.eq.dec;meta.main)
  (6)mainID (char) Main ID (main_id) (meta.id)
  (6)mainType (char) Main type (main_type) (src.class)
  (6)oTypes (char) Other type (other_types) (src.class)
  (6)angDist arcsec (n) Angular distance (angDist) (pos.angDistance)
  (7+8+9+10)cos(GLON)  4FGL cosine of Galactic longitude (cos(GLON)) (pos.dirCos)
  (8)Flag4FGL  4FGL flags (Flags_4FGL) (meta.code.error)

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