Show | Sort | Column | Constraint | Explain (UCD) |
| | recno | | Record number assigned by the VizieR team. Should Not be used for identification. (meta.record) (RECORD) |
| | 3FGL | (char) | Source Name in 3FGL (SourceName3FGL) (meta.id;meta.main) (ID_MAIN) |
| | GLON | deg | 3FGL Galactic Longitude (GLON) (pos.galactic.lon) (POS_GAL_LON) |
| | GLAT | deg | 3FGL Galactic latitude (GLAT) (pos.galactic.lat) (POS_GAL_LAT) |
| | ln(EF100) | [mW/m2] | 3FGL Energy flux from 100MeV to 100GeV (ln(Energy_Flux100)) (phot.flux.density;em.gamma.hard) (PHOT_FLUX_GAMMA) |
| | ln(e_EF100) | [mW/m2] | Error on ln(EF100) (ln(UncEnergyFlux100)) (stat.error) (ERROR) |
| | SigCurv | | 3FGL Significance (ln(Signif_Curve)) (stat.fit.goodness) (STAT_SIGNIFICANCE) |
| | ln(VI) | | 3FGL variability index (ln(Variability_Index)) (src.var.index) (VAR_INDEX) |
| | 500MeVI | | Index at 500 MeV for 3FGL catalog (500MeV_Index) (spect.index) (SPECT_INDEX_MISC) |
| | HR12 | | 3FGL hardness ratio, bands 1, 2 (100-300MeV, 300-1000MeV) (HR12) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR23 | | 3FGL hardness ratio, bands 2, 3 (300-1000MeV, 1-3GeV) (HR23) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
ALL cols | | | |
| | HR34 | | 3FGL hardness ratio, bands 3, 4 (1-3GeV, 3-10GeV) (HR34) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR45 | | 3FGL hardness ratio, bands 4, 5 (3-10GeV, 10-100GeV) (HR45) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | Cat3FGL | (char) | 3FGL category (Category_3FGL) (src.class) (CLASS_OBJECT) |
| | Class3FGL | (char) | 3FGL Class (CLASS_3FGL) (src.class) (CLASS_OBJECT) |
| | E0 | MeV | 3FGL Energy at which error on differential flux is minimal (Pivot_Energy) (em.energy) (PHYS_ENERGY_X) |
| | SpType | (char) | Type of spectral fit (Spectrum_Type) (meta.note) (REDUCT_METHOD) |
| | Assoc1 | (char) | Association (ASSOC1) (meta.id.assoc) (ID_ASSOCIATED) |
| | Flags3FGL | | 3FGL flags (Flags_3FGL) (meta.code.error) (CODE_MISC) |
| | AGN-BDT | | Probability of being an AGN with BDT being the mac learning method and 3FGL the catalog (AGN_BDT) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-BDT | | Error on AGN-BDT (AGNBDTSTD) (stat.error) (ERROR) |
| | PSR-BDT | | Probability of being an PSR with BDT being the mac learning method and 3FGL the catalog (PSR_BDT) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-BDT | | Error on PSR-BDT (PSRBDTSTD) (stat.error) (ERROR) |
| | AGN-NN | | Probability of being an AGN with NN being the mac learning method and 3FGL the catalog (AGN_NN) (stat.fit.goodness) (STAT_PROBABILITY) |
ALL cols | | | |
| | e_AGN-NN | | Error on AGN-NN (AGNNNSTD) (stat.error) (ERROR) |
| | PSR-NN | | Probability of being an AGN with PSR being the mac learning method and 3FGL the catalog (PSR_NN) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-NN | | Error on PSR-NN (PSRNNSTD) (stat.error) (ERROR) |
| | AGN-RF | | Probability of being an AGN with RF being the mac learning method and 3FGL the catalog (AGN_RF) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-RF | | Error on AGN-RF (AGNRFSTD) (stat.error) (ERROR) |
| | PSR-RF | | Probability of being an AGN with PSR being the mac learning method and 3FGL the catalog (PSR_RF) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-RF | | Error on PSR-RF (PSRRFSTD) (stat.error) (ERROR) |
| | AGN-LR | | Probability of being an AGN with LR being the mac learning method and 3FGL the catalog (AGN_LR) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-LR | | Error on AGN-LR (AGNLRSTD) (stat.error) (ERROR) |
| | PSR-LR | | Probability of being an PSR with LR being the mac learning method and 3FGL the catalog (PSR_LR) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-LR | | Error on PSR-LR (PSRLRSTD) (stat.error) (ERROR) |
| | AGN-BDT-O | | Probability of being an AGN with DTB_O being the mac learning method and 3FGL the catalog (AGNBDTO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-BDT-O | | Error on AGN-BDT-O (AGNBDTSTD_O) (stat.error) (ERROR) |
ALL cols | | | |
| | PSR-BDT-O | | Probability of being an PSR with DTB_O being the mac learning method and 3FGL the catalog (PSRBDTO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-BDT-O | | Error on PSR-BDT-O (PSRBDTSTD_O) (stat.error) (ERROR) |
| | AGN-NN-O | | Probability of being an AGN with NN_O being the mac learning method and 3FGL the catalog (AGNNNO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-NN-O | | Error on AGN-NN-O (AGNNNSTD_O) (stat.error) (ERROR) |
| | PSR-NN-O | | Probability of being an PSR with NN_O being the mac learning method and 3FGL the catalog (PSRNNO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-NN-O | | Error on PSR-NN-O (PSRNNSTD_O) (stat.error) (ERROR) |
| | AGN-RF-O | | Probability of being an AGN with RF_O being the mac learning method and 3FGL the catalog (AGNRFO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-RF-O | | Error on AGN-RF-O (AGNRFSTD_O) (stat.error) (ERROR) |
| | PSR-RF-O | | Probability of being an PSR with RF_O being the mac learning method and 3FGL the catalog (PSRRFO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-RF-O | | Error on PSR-RF-O (PSRRFSTD_O) (stat.error) (ERROR) |
| | AGN-LR-O | | Probability of being an AGN with LR_O being the mac learning method and 3FGL the catalog (AGNLRO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-LR-O | | Error on AGN-LR-O-BDT (AGNLRSTD_O) (stat.error) (ERROR) |
| | PSR-LR-O | | Probability of being an PSR with LR_O being the mac learning method and 3FGL the catalog (PSRLRO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-LR-O | | Error on PSR-LR-O-BDT (PSRLRSTD_O) (stat.error) (ERROR) |
| | FlagMiss | | Missing values flag (MissingValuesFlag) (meta.code.error) (CODE_MISC) |
| | CatProb | (char) | Category probability (Category_Prob) (src.class) (CLASS_OBJECT) |
| | _RA.icrs | deg | (n)(i) Right Ascension (ICRS, epoch 2000) computed by CDS (pos.eq.ra) (POS_EQ_RA_OTHER) |
| | _DE.icrs | deg | (n)(i) Declination (ICRS, epoch 2000) computed by CDS (pos.eq.dec) (POS_EQ_DEC_OTHER) |
ALL cols | | | |