VizieR

CfA VizieR . ADAC VizieR . Cambridge (UK) VizieR . IUCAA VizieR . INASAN VizieR .

VizieR

  
J/A+A/660/A87
  Machine learning methods with Fermi-LAT catalogs (Bhat+, 2022)
Post annotation
img(gal)
1.J/A+A/660/A87/cat74FGL-DR2 2-class classification (5788 rows)

 
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)
  4FGL (char) Source Name in 4FGL (SourceName4FGL) (meta.id;meta.main)
  cos(GLON)  4FGL cosine of Galactic longitude (cos(GLON)) (pos.dirCos)
  GLAT deg 4FGL Galactic latitude (GLAT) (pos.galactic.lat)
  ln(EF100) [mW/m2] 4FGL 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)
  ln(E0) [MeV] Energy at which error on differential flux is minimal (ln(Pivot_Energy)) (phys.energy)
  LPIndex  4FGL Photon index at pivot energy E0 (LP_Index) (meta.code;spect.index)
  e_LPIndex  Error on LPIndex (UncLPIndex) (stat.error)
  LPbeta  4FGL Curvature parameter (LP_beta) (stat.fit.param)
  SigCurv  4FGL Significance (LP_SigCurv) (stat.fit.goodness)

ALL cols
    
 (i)indexed column
  ln(VI)  4FGL variability index (ln(Variability_Index)) (src.var.index)
  HR12  4FGL hardness ratio, band 1, 2 (50-100MeV, 100-300MeV) (HR12) (phot.flux;arith.ratio)
  HR23  4FGL hardness ratio, bands 2, 3 (100-300MeV, 300Mev-1GeV) (HR23) (phot.flux;arith.ratio)
  HR34  4FGL hardness ratio, bands 3, 4 (300Mev-1GeV, 1-3GeV) (HR34) (phot.flux;arith.ratio)
  HR45  4FGL hardness ratio, bands 4, 5 (1-3GeV, 3-10GeV) (HR45) (phot.flux;arith.ratio)
  HR56  4FGL hardness ratio, bands 5, 6 (3-10GeV, 10-30GeV) (HR56) (phot.flux;arith.ratio)
  HR67  4FGL hardness ratio, bands 6, 7 (10-30GeV, 30-300GeV) (HR67) (phot.flux;arith.ratio)
  Cat (char) 4FGL category (Category_4FGL) (src.class)
  Class (char) 4FGL Class (CLASS_4FGL) (src.class)
  AssocFGL (char) Past associations in Fermi LAT (ASSOC_FGL) (meta.id.assoc)
  Assoc1 (char) Association (ASSOC1) (meta.id.assoc)
  AGN-BDT  Probability of being an AGN with BDT being the mac learning method and 4FGL the catalog (AGN_BDT) (stat.fit.goodness)
  e_AGN-BDT  Error on AGN-BDT (AGNBDTSTD) (stat.error)

ALL cols
    
 (i)indexed column
  PSR-BDT  Probability of being an PSR with BDT being the mac learning method and 4FGL the catalog (PSR_BDT) (stat.fit.goodness)
  e_PSR-BDT  Error on PSR-BDT (PSRBDTSTD) (stat.error)
  AGN-NN  Probability of being an AGN with NN being the mac learning method and 4FGL the catalog (AGN_NN) (stat.fit.goodness)
  e_AGN-NN  Error on AGN-NN (AGNNNSTD) (stat.error)
  PSR-NN  Probability of being an PSR with NN being the mac learning method and 4FGL the catalog (PSR_NN) (stat.fit.goodness)
  e_PSR-NN  Error on PSR-NN (PSRNNSTD) (stat.error)
  AGN-RF  Probability of being an AGN with RF being the mac learning method and 4FGL the catalog (AGN_RF) (stat.fit.goodness)
  e_AGN-RF  Error on AGN-RF (AGNRFSTD) (stat.error)
  PSR-RF  Probability of being an PSR with RF being the mac learning method and 4FGL the catalog (PSR_RF) (stat.fit.goodness)
  e_PSR-RF  Error on PSR-RF (PSRRFSTD) (stat.error)
  AGN-LR  Probability of being an AGN with LR being the mac learning method and 4FGL the catalog (AGN_LR) (stat.fit.goodness)
  e_AGN-LR  Error on AGN-LR (AGNLRSTD) (stat.error)
  PSR-LR  Probability of being an PSR with LR being the mac learning method and 4FGL the catalog (PSR_LR) (stat.fit.goodness)

ALL cols
    
 (i)indexed column
  e_PSR-LR  Error on PSR-LR (PSRLRSTD) (stat.error)
  AGN-BDT-O  Probability of being an AGN with BDT_O being the mac learning method and 4FGL the catalog (AGNBDTO) (stat.fit.goodness)
  e_AGN-BDT-O  Error on AGN-BDT-O (AGNBDTSTD-O) (stat.error)
  PSR-BDT-O  Probability of being an PSR with BDT_O being the mac learning method and 4FGL the catalog (PSRBDTO) (stat.fit.goodness)
  e_PSR-BDT-O  Error on PSR-BDT-O (PSRBDTSTD-O) (stat.error)
  AGN-NN-O  Probability of being an AGN with NN_O being the mac learning method and 4FGL the catalog (AGNNNO) (stat.fit.goodness)
  e_AGN-NN-O  Error on AGN-NN-O (AGNNNSTD-O) (stat.error)
  PSR-NN-O  Probability of being an PSR with NN_O being the mac learning method and 4FGL the catalog (PSRNNO) (stat.fit.goodness)
  e_PSR-NN-O  Error on PSR-NN-O (PSRNNSTD-O) (stat.error)
  AGN-RF-O  Probability of being an AGN with RF_O being the mac learning method and 4FGL the catalog (AGNRFO) (stat.fit.goodness)
  e_AGN-RF-O  Error on AGN-RF-O (AGNRFSTD-O) (stat.error)
  PSR-RF-O  Probability of being an PSR with RF_O being the mac learning method and 4FGL the catalog (PSRRFO) (stat.fit.goodness)
  e_PSR-RF-O  Error on PSR_RF-O (PSRRFSTD-O) (stat.error)
  AGN-LR-O  Probability of being an AGN with LR_O being the mac learning method and 4FGL the catalog (AGNLRO) (stat.fit.goodness)
  e_AGN-LR-O  Error on AGN-LR-O (AGNLRSTD-O) (stat.error)
  PSR-LR-O  Probability of being an PSR with LR_O being the mac learning method and 4FGL the catalog (PSRLRO) (stat.fit.goodness)
  e_PSR-LR-O  Error on PSR-LR-O (PSRLRSTD-O) (stat.error)
  Flags4FGL  4FGL flags (Flags_4FGL) (meta.code.error)
  FlagMiss  Missing values flag (MissingValuesFlag) (meta.code.error)
  CatProb (char) Category probability (Category_Prob) (src.class)

ALL cols
    
 (i)indexed column
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