Show | Sort | Column | Constraint | Explain (UCD) |
| | recno | | Record number assigned by the VizieR team. Should Not be used for identification. (meta.record) (RECORD) |
| | 4FGL | (char) | Source Name in 4FGL (SourceName4FGL) (meta.id;meta.main) (ID_MAIN) |
| | GLON | deg | 4FGL Galactic longitude (GLON_4FGL) (pos.galactic.lon;meta.main) (POS_GAL_LON) |
| | GLAT | deg | 4FGL Galactic latitude (GLAT_4FGL) (pos.galactic.lat;meta.main) (POS_GAL_LAT) |
| | ln(EF100) | [mW/m2] | 4FGL Energy flux from 100MeV to 100GeV (ln(EnergyFlux100)4FGL) (phot.flux.density;em.gamma.hard) (PHOT_FLUX_GAMMA) |
| | ln(e_EF100) | [mW/m2] | Error on ln(EF100) (ln(UncEnergyFlux100)_4FGL) (stat.error) (ERROR) |
| | ln(E0) | [MeV] | Energy at which error on differential flux is minimal (ln(PivotEnergy)4FGL) (phys.energy) (PHYS_ENERGY_X) |
| | LPIndex | | 4FGL Photon index at pivot energy E0 (LPIndex4FGL) (meta.code;spect.index) (PHYS_ENERGY_INDEX) |
| | e_LPIndex | | Error on LPIndex (UncLPIndex_4FGL) (stat.error) (ERROR) |
| | LPbeta | | 4FGL Curvature parameter (LPbeta4FGL) (stat.fit.param) (FIT_PARAM_VALUE) |
| | SigCurv | | 4FGL Significance (LPSigCurv4FGL) (stat.fit.goodness) (STAT_SIGNIFICANCE) |
ALL cols | | | |
| | ln(VI) | | 4FGL variability index (ln(VariabilityIndex)4FGL) (src.var.index) (VAR_INDEX) |
| | HR12 | | 4FGL hardness ratio, band 1, 2 (50-100MeV, 100-300MeV) (HR12_4FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR23 | | 4FGL hardness ratio, bands 2, 3 (100-300MeV, 300Mev-1GeV) (HR23_4FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR34 | | 4FGL hardness ratio, bands 3, 4 (300Mev-1GeV, 1-3GeV) (HR34_4FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR45 | | 4FGL hardness ratio, bands 4, 5 (1-3GeV, 3-10GeV) (HR45_4FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR56 | | 4FGL hardness ratio, bands 5, 6 (3-10GeV, 10-30GeV) (HR56_4FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR67 | | 4FGL hardness ratio, bands 6, 7 (10-30GeV, 30-300GeV (HR67_4FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | Cat | (char) | [UNAS] 4FGL category (Category_4FGL) (src.class) (CLASS_OBJECT) |
| | Class | (char) | [None] 4FGL Class (Class_4FGL) (src.class) (CLASS_OBJECT) |
| | AssocFGL | (char) | Past associations in Fermi LAT (ASSOC_FGL) (meta.id.assoc) (ID_ASSOCIATED) |
| | AssocFHL | (char) | Past associations in FHL (ASSOC_FHL) (meta.id.assoc) (ID_ASSOCIATED) |
| | AGN-BDT-4FGL | | Probability of being an AGN with BDT being the mac learning method and 4FGL the catalog (AGNBDT4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-BDT-4FGL | | Error on AGN-BDT-4FGL (AGNBDTSTD_4FGL) (stat.error) (ERROR) |
ALL cols | | | |
| | PSR-BDT-4FGL | | Probability of being an PSR with BDT being the mac learning method and 4FGL (PSRBDT4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-BDT-4FGL | | Error on PSR-BDT-4FGL (PSRBDTSTD_4FGL) (stat.error) (ERROR) |
| | AGN-NN-4FGL | | Probability of being an AGN with NN being the mac learning method and 4FGL the catalog (AGNNN4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-NN-4FGL | | Error on AGN-NN-4FGL (AGNNNSTD_4FGL) (stat.error) (ERROR) |
| | PSR-NN-4FGL | | Probability of being an PSR with NN being the mac learning method and 4FGL the catalog (PSRNN4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-NN-4FGL | | Error on PSR-NN-4FGL (PSRNNSTD_4FGL) (stat.error) (ERROR) |
| | AGN-RF-4FGL | | Probability of being an AGN with RF being the mac learning method and 4FGL the catalog (AGNRF4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-RF-4FGL | | Error on AGN-RF-4FGL (AGNRFSTD_4FGL) (stat.error) (ERROR) |
| | PSR-RF-4FGL | | Probability of being an PSR with RF being the mac learning method and 4FGL the catalog (PSRRF4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-RF-4FGL | | Error on PSR-RF-4FGL (PSRRFSTD_4FGL) (stat.error) (ERROR) |
| | AGN-LR-4FGL | | Probability of being an AGN with LR being the mac learning method and 4FGL the catalog (AGNLR4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-LR-4FGL | | Error on AGN-LR-4FGL (AGNLRSTD_4FGL) (stat.error) (ERROR) |
| | PSR-LR-4FGL | | Probability of being an PSR with LR being the mac learning method and 4FGL the catalog (PSRLR4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
ALL cols | | | |
| | e_PSR-LR-4FGL | | Error on PSR-LR-4FGL (PSRLRSTD_4FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_AGN-BDT-O-4FGL | | Error on AGN-BDT-O-4FGL (AGNBDTSTDO4FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_PSR-BDT-O-4FGL | | Error on PSR-BDT-O-4FGL (PSRBDTSTDO4FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_AGN-NN-O-4FGL | | Error on AGN-NN-O-4FGL (AGNNNSTDO4FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_PSR-NN-O-4FGL | | Error on PSR-NN-O-4FGL (PSRNNSTDO4FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_AGN-RF-O-4FGL | | Error on AGN-RF-O-4FGL (AGNRFSTDO4FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_PSR-RF-O-4FGL | | Error on PSR_RF-O-4FGL (PSRRFSTDO4FGL) (stat.error) (ERROR) |
ALL cols | | | |
| | 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) (STAT_PROBABILITY) |
| | e_AGN-LR-O-4FGL | | Error on AGN-LR-O-4FGL (AGNLRSTDO4FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_PSR-LR-O-4FGL | | Error on PSR-LR-O_4FGL (PSRLRSTDO4FGL) (stat.error) (ERROR) |
| | Flags4FGL | | 4FGL flags (Flags_4FGL) (meta.code.error) (CODE_MISC) |
| | CatProb4FGL | (char) | [PSR] Category based on association in 4FGl-DR2 (CategoryProb4FGL) (src.class) (CLASS_OBJECT) |
| | 3FGL | (char) | Source Name in 3FGL (SourceName3FGL) (meta.id) (ID_ALTERNATIVE) |
| | GLON3 | deg | 3FGL Galactic longitude (GLON_3FGL) (pos.galactic.lon) (POS_GAL_LON) |
| | GLAT3 | deg | 3FGL Galactic latitude (GLAT_3FGL) (pos.galactic.lat) (POS_GAL_LAT) |
| | ln(EF100)3FGL | | 3FGL Energy flux from 100MeV to 100GeV (ln(EnergyFlux100)3FGL) (phot.flux.density) (PHOT_SPHOT_FLUX) |
| | ln(e_EF100)3FGL | | Error on EF100 (ln(UncEnergyFlux100)_3FGL) (stat.error) (ERROR) |
| | ln(SigCurve)3FGL | | 3FGL Significance (ln(SignifCurve)3FGL) (stat.fit.goodness) (STAT_SIGNIFICANCE) |
| | ln(VI)3FGL | | 3FGL variability index (ln(VariabilityIndex)3FGL) (src.var.index) (VAR_INDEX) |
ALL cols | | | |
| | 500MeVI3FGL | | Index at 500 MeV for 3FGL catalog (500MeVIndex3FGL) (spect.index) (SPECT_INDEX_MISC) |
| | HR12-3FGL | | 3FGL hardness ratio, bands 1, 2 (100-300MeV, 300-1000MeV) (HR12_3FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR23-3FGL | | 3FGL hardness ratio, bands 2, 3 (300-1000MeV, 1-3GeV) (HR23_3FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR34-3FGL | | 3FGL hardness ratio, bands 3, 4 (1-3GeV, 3-10GeV) (HR34_3FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR45-3FGL | | 3FGL hardness ratio, bands 4, 5 (3-10GeV, 10-100GeV) (HR45_3FGL) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | Cat3FGL | (char) | [UNAS] 3FGL category (Category_3FGL) (src.class) (CLASS_OBJECT) |
| | Class3FGL | (char) | [None] 3FGL Class (CLASS_3FGL) (src.class) (CLASS_OBJECT) |
| | E0-3FGL | MeV | 3FGL Energy at which error on differential flux is minimal (Pivot_Energy) (em.energy) (PHYS_ENERGY_X) |
| | SpType | (char) | [LogParabola] Type of spectral fit (Spectrum_Type) (meta.note) (REDUCT_METHOD) |
| | Flag3FGL | | 3FGL flags (Flags_3FGL) (meta.code.error) (CODE_MISC) |
| | AGN-BDT-3FGL | | 3FGL Probability of being an AGN with BDT being the mac learning method and 3FGL the catalog (AGNBDT3FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-BDT-3FGL | | Error on AGN-BDT-3FGL (AGNBDTSTD_3FGL) (stat.error) (ERROR) |
| | PSR-BDT-3FGL | | 3FGL Probability of being an PSR with BDT being the mac learning method and 3FGL the catalog (PSRBDT3FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
ALL cols | | | |
| | e_PSR-BDT-3FGL | | Error on PSR-BDT-3FGL (PSRBDTSTD_3FGL) (stat.error) (ERROR) |
| | AGN-NN-3FGL | | 3FGL Probability of being an AGN with NN being the mac learning method and 3FGL the catalog (AGNNN3FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-NN-3FGL | | Error on AGN-NN-3FGL (AGNNNSTD_3FGL) (stat.error) (ERROR) |
| | PSR-NN-3FGL | | 3FGL Probability of being an PSR with NN being the mac learning method and 3FGL the catalog (PSRNN3FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-NN-3FGL | | Error on PSR-NN-3FGL (PSRNNSTD_3FGL) (stat.error) (ERROR) |
| | AGN-RF-3FGL | | 3FGL Probability of being an AGN with RF being the mac learning method and 3FGL the catalog (AGNRF3FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-RF-3FGL | | Error on AGN-RF-3FGL (AGNRFSTD_3FGL) (stat.error) (ERROR) |
| | PSR-RF-3FGL | | 3FGL Probability of being an PSR with RF being the mac learning method and 3FGL the catalog (PSRRF3FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-RF-3FGL | | Error on PSR_RF-3FGL (PSRRFSTD_3FGL) (stat.error) (ERROR) |
| | AGN-LR-3FGL | | 3FGL Probability of being an AGN with LR being the mac learning method and 3FGL the catalog (AGNLR3FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-LR-3FGL | | Error on AGN-LR-3FGL (AGNLRSTD_3FGL) (stat.error) (ERROR) |
| | PSR-LR-3FGL | | 3FGL Probability of being an PSR with LR being the mac learning method and 3FGL the catalog (PSRLR3FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-LR-3FGL | | Error on PSR-LR-3FGL (PSRLRSTD_3FGL) (stat.error) (ERROR) |
ALL cols | | | |
| | 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) (STAT_PROBABILITY) |
| | e_AGN-BDT-O-3FGL | | Error on AGN-BDT-O-3FGL (AGNBDTSTDO3FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_PSR-BDT-O-3FGL | | Error on PSR-BDT-O-3FGL (PSRBDTSTDO3FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_AGN-NN-O-3FGL | | Error on AGN-NN-O-3FGL (AGNNNSTDO3FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_PSR-NN-O-3FGL | | Error on PSR-NN-O-3FGL (PSRNNSTDO3FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_AGN-RF-O-3FGL | | Error on AGN-RF-O-3FGL (AGNRFSTDO3FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_PSR-RF-O-3FGL | | Error on PSR-RF-O-3FGL (PSRRFSTDO3FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
ALL cols | | | |
| | e_AGN-LR-O-3FGL | | Error on AGN-LR-O-3FGL (AGNLRSTDO3FGL) (stat.error) (ERROR) |
| | 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) (STAT_PROBABILITY) |
| | e_PSR-LR-O-3FGL | | Error on PSR-LR-O-3FGL (PSRLRSTDO3FGL) (stat.error) (ERROR) |
| | CatProb3FGL | (char) | [PSR] Category based on association in 3FGL (CategoryProb3FGL) (src.class) (CLASS_OBJECT) |
| | RAPdeg | deg | (n) Parkes Right ascension (J2000) (RAJ2000_Parkes) (Note 1)
(pos.eq.ra) (POS_EQ_RA_OTHER) |
| | DEPdeg | deg | (n) Parkes Declination (J2000) (DEJ2000_Parkes) (Note 1)
(pos.eq.dec) (POS_EQ_DEC_OTHER) |
| | Tint | (char) min | Parkes Integration time(s) (Tint) (Note 1)
(time.epoch) (TIME_EXPTIME) |
| | DMmax | pc/cm3 | (n) Parkes Maximum trial dispersion measure (DMmax) (Note 1)
(phys.dispMeasure) (PHYS_DISP-MEASURE) |
| | SepP | arcsec | (n) Separation Parkes (Separation_Parkes(arcsec)) (Note 1)
(pos.angDistance) (POS_ANG_DIST_GENERAL) |
| | CatP34FGL | (char) | 4FGL Category (CategoryProb3class_4FGL) (src.class) (CLASS_OBJECT) |
| | PSRtot4FGL | | 4FGL Sum of PSR probabilities of all methods (PSRTOTAL3class_4FGL) (stat.fit.goodness) (STAT_PROBABILITY) |
| | _RA | deg | (i) Positions from Galactic ones (right ascension part) (pos.eq.ra;meta.main) (POS_EQ_RA_MAIN) |
| | _DE | deg | (i) Positions from Galactic ones (declination part) (pos.eq.dec;meta.main) (POS_EQ_DEC_MAIN) |
ALL cols | | | |