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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/cat53FGL 3-class using SMOTE (3034 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)
  3FGL (char) Source Name in 3FGL (SourceName3FGL) (meta.id;meta.main)
  GLON deg 3FGL Galactic Longitude (GLON) (pos.galactic.lon)
  GLAT deg 3FGL Galactic latitude (GLAT) (pos.galactic.lat)
  ln(EF100) [mW/m2] 3FGL Energy flux from 100MeV to 100GeV (ln(Energy_Flux100)) (phot.flux.density;em.gamma.hard)
  ln(e_EF100) [mW/m2] Error on ln(EF100) (ln(UncEnergyFlux100)) (stat.error)
  SigCurv  3FGL Significance (ln(Signif_Curve)) (stat.fit.goodness)
  ln(VI)  3FGL variability index (ln(Variability_Index)) (src.var.index)
  500MeVI  Index at 500 MeV for 3FGL catalog (500MeV_Index) (spect.index)
  HR12  3FGL hardness ratio, bands 1, 2 (100-300MeV, 300-1000MeV) (HR12) (phot.flux;arith.ratio)
  HR23  3FGL hardness ratio, bands 2, 3 (300-1000MeV, 1-3GeV) (HR23) (phot.flux;arith.ratio)

ALL cols		    
 (i)indexed column
  HR34  3FGL hardness ratio, bands 3, 4 (1-3GeV, 3-10GeV) (HR34) (phot.flux;arith.ratio)
  HR45  3FGL hardness ratio, bands 4, 5 (3-10GeV, 10-100GeV) (HR45) (phot.flux;arith.ratio)
  Cat3FGL (char) 3FGL category (Category_3FGL) (src.class)
  Class3FGL (char) 3FGL Class (CLASS_3FGL) (src.class)
  Flag3FGL  3FGL flags (Flags_3FGL) (meta.code.error)
  FlagMiss  Missing values flag (MissingValuesFlag) (meta.code.error)
  AGN-BDT-S  Probability of being an AGN with BDT_S being the mac learning method and 3FGL the catalog (AGNBDTS) (stat.fit.goodness)
  e_AGN-BDT-S  Error on AGN-BDT-S (AGNBDTSTD_S) (stat.error)
  PSR-BDT-S  Probability of being an PSR with BDT_S being the mac learning method and 3FGL the catalog (PSRBDTS) (stat.fit.goodness)
  e_PSR-BDT-S  Error on PSR-BDT-S (PSRBDTSTD_S) (stat.error)
  OTHER-BDT-S  Probability of being an OTHER with BDT_S being the mac learning method and 3FGL the catalog (OTHERBDTS) (stat.fit.goodness)
  e_OTHER-BDT-S  Error on OTHER-BDT-S (OTHERBDTSTD_S) (stat.error)
  AGN-NN-S  Probability of being an AGN with NN_S being the mac learning method and 3FGL the catalog (AGNNNS) (stat.fit.goodness)

ALL cols		    
 (i)indexed column
  e_AGN-NN-S  Error on AGN-NN-S (AGNNNSTD_S) (stat.error)
  PSR-NN-S  Probability of being an PSR with NN_S being the mac learning method and 3FGL the catalog (PSRNNS) (stat.fit.goodness)
  e_PSR-NN-S  Error on PSR-NN-S (PSRNNSTD_S) (stat.error)
  OTHER-NN-S  Probability of being an OTHER with NN_S being the mac learning method and 3FGL the catalog (OTHERNNS) (stat.fit.goodness)
  e_OTHER-NN-S  Error on OTHER-NN-S (OTHERNNSTD_S) (stat.error)
  AGN-RF-S  Probability of being an AGN with RF_S being the mac learning method and 3FGL the catalog (AGNRFS) (stat.fit.goodness)
  e_AGN-RF-S  Error on AGN-RF-S (AGNRFSTD_S) (stat.error)
  PSR-RF-S  Probability of being an PSR with RF_S being the mac learning method and 3FGL the catalog (PSRRFS) (stat.fit.goodness)
  e_PSR-RF-S  Error on PSR-RF-S (PSRRFSTD_S) (stat.error)
  OTHER-RF-S  Probability of being an OTHER with RF_S being the mac learning method and 3FGL the catalog (OTHERRFS) (stat.fit.goodness)
  e_OTHER-RF-S  Error on OTHER-RF-S (OTHERRFSTD_S) (stat.error)
  AGN-LR-S  Probability of being an AGN with LR_S being the mac learning method and 3FGL the catalog (AGNLRS) (stat.fit.goodness)
  e_AGN-LR-S  Error on AGN-LR-S (AGNLRSTD_S) (stat.error)
  PSR-LR-S  Probability of being an PSR with LR_S being the mac learning method and 3FGL the catalog (PSRLRS) (stat.fit.goodness)
  e_PSR-LR-S  Error on PSR-LR-S (PSRLRSTD_S) (stat.error)
  OTHER-LR-S  Probability of being an OTHER with LR_S being the mac learning method and 3FGL the catalog (OTHERLRS) (stat.fit.goodness)
  e_OTHER-LR-S  Error on OTHER-LR-S (OTHERLRSTD_S) (stat.error)
  _RA.icrs deg (n)(i) Right Ascension (ICRS, epoch 2000) computed by CDS (pos.eq.ra)
  _DE.icrs deg (n)(i) Declination (ICRS, epoch 2000) computed by CDS (pos.eq.dec)

ALL cols		    
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