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) |
| | cos(GLON) | | 4FGL cosine of Galactic longitude (cos(GLON)) (pos.dirCos) (POS_DIR-COSINE) |
| | GLAT | deg | 4FGL Galactic latitude (GLAT) (pos.galactic.lat) (POS_GAL_LAT) |
| | ln(EF100) | [mW/m2] | 4FGL 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) |
| | ln(E0) | [MeV] | Energy at which error on differential flux is minimal (ln(Pivot_Energy)) (phys.energy) (PHYS_ENERGY_X) |
| | LPIndex | | 4FGL Photon index at pivot energy E0 (LP_Index) (meta.code;spect.index) (PHYS_ENERGY_INDEX) |
| | e_LPIndex | | Error on LPIndex (UncLPIndex) (stat.error) (ERROR) |
| | LPbeta | | 4FGL Curvature parameter (LP_beta) (stat.fit.param) (FIT_PARAM_VALUE) |
| | SigCurv | | 4FGL Significance (LP_SigCurv) (stat.fit.goodness) (STAT_SIGNIFICANCE) |
ALL cols | | | |
| | ln(VI) | | 4FGL variability index (ln(Variability_Index)) (src.var.index) (VAR_INDEX) |
| | HR12 | | 4FGL hardness ratio, band 1, 2 (50-100MeV, 100-300MeV) (HR12) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR23 | | 4FGL hardness ratio, bands 2, 3 (100-300MeV, 300Mev-1GeV) (HR23) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR34 | | 4FGL hardness ratio, bands 3, 4 (300Mev-1GeV, 1-3GeV) (HR34) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR45 | | 4FGL hardness ratio, bands 4, 5 (1-3GeV, 3-10GeV) (HR45) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR56 | | 4FGL hardness ratio, bands 5, 6 (3-10GeV, 10-30GeV) (HR56) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | HR67 | | 4FGL hardness ratio, bands 6, 7 (10-30GeV, 30-300GeV) (HR67) (phot.flux;arith.ratio) (SPECT_HARDNESS-RATIO) |
| | Cat | (char) | 4FGL category (Category_4FGL) (src.class) (CLASS_OBJECT) |
| | Class | (char) | 4FGL Class (CLASS_4FGL) (src.class) (CLASS_OBJECT) |
| | AssocFGL | (char) | Past associations in Fermi LAT (ASSOC_FGL) (meta.id.assoc) (ID_ASSOCIATED) |
| | Assoc1 | (char) | Association (ASSOC1) (meta.id.assoc) (ID_ASSOCIATED) |
| | Flags4FGL | | 4FGL flags (Flags_4FGL) (meta.code.error) (CODE_MISC) |
| | AGN-BDT | | Probability of being an AGN with BDT_S being the mac learning method and 4FGL the catalog (AGN_BDT) (stat.fit.goodness) (STAT_PROBABILITY) |
ALL cols | | | |
| | e_AGN-BDT | | Error on AGN-BDT (AGNBDTSTD) (stat.error) (ERROR) |
| | PSR-BDT | | Probability of being an PSR with BDT_S being the mac learning method and 4FGL the catalog (PSR_BDT) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-BDT | | Error on PSR-BDT (PSRBDTSTD) (stat.error) (ERROR) |
| | OTHER-BDT | | Probability of being an OTHER with BDT_S being the mac learning method and 4FGL the catalog (OTHER_BDT) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_OTHER-BDT | | Error on OTHER-BDT (OTHERBDTSTD) (stat.error) (ERROR) |
| | AGN-NN | | Probability of being an AGN with NN_S being the mac learning method and 4FGL the catalog (AGN_NN) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-NN | | Error on AGN-NN (AGNNNSTD) (stat.error) (ERROR) |
| | PSR-NN | | Probability of being an PSR with NN_S being the mac learning method and 4FGL the catalog (PSR_NN) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-NN | | Error on PSR-NN (PSRNNSTD) (stat.error) (ERROR) |
| | OTHER-NN | | Probability of being an OTHER with NN being the mac learning method and 4FGL the catalog (OTHER_NN) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_OTHER-NN | | Error on OTHER-NN (OTHERNNSTD) (stat.error) (ERROR) |
| | AGN-RF | | Probability of being an AGN with RF being the mac learning method and 4FGL the catalog (AGN_RF) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_AGN-RF | | Error on AGN-RF (AGNRFSTD) (stat.error) (ERROR) |
ALL cols | | | |
| | PSR-RF | | Probability of being an PSR with RF being the mac learning method and 4FGL the catalog (PSR_RF) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-RF | | Error on PSR-RF (PSRRFSTD) (stat.error) (ERROR) |
| | OTHER-RF | | Probability of being an OTHER with RF being the mac learning method and 4FGL the catalog (OTHER_RF) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_OTHER-RF | | Error on OTHER-RF (OTHERRFSTD) (stat.error) (ERROR) |
| | AGN-LR | | Probability of being an AGN with LR being the mac learning method and 4FGL 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 4FGL the catalog (PSR_LR) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-LR | | Error on PSR-LR (PSRLRSTD) (stat.error) (ERROR) |
| | OTHER-LR | | Probability of being an OTHER with LR being the mac learning method and 4FGL the catalog (OTHER_LR) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_OTHER-LR | | Error on OTHER-LR (OTHERLRSTD) (stat.error) (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) (STAT_PROBABILITY) |
| | e_AGN-BDT-O | | Error on AGN-BDT-O (AGNBDTSTD_O) (stat.error) (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) (STAT_PROBABILITY) |
ALL cols | | | |
| | e_PSR-BDT-O | | Error on PSR-BDT-O (PSRBDTSTD_O) (stat.error) (ERROR) |
| | OTHER-BDT-O | | Probability of being an OTHER with BDT_O being the mac learning method and 4FGL the catalog (OTHERBDTO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_OTHER-BDT-O | | Error on OTHER-BDT-O (OTHERBDTSTD_O) (stat.error) (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) (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 4FGL the catalog (PSRNNO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-NN-O | | Error on PSR-NN-O (PSRNNSTD_O) (stat.error) (ERROR) |
| | OTHER-NN-O | | Probability of being an OTHER with NN_O being the mac learning method and 4FGL the catalog (OTHERNNO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_OTHER-NN-O | | Error on OTHER-NN-O (OTHERNNSTD_O) (stat.error) (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) (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 4FGL the catalog (PSRRFO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_PSR-RF-O | | Error on PSR-RF-O (PSRRFSTD_O) (stat.error) (ERROR) |
ALL cols | | | |
| | OTHER-RF-O | | Probability of being an OTHER with RF_O being the mac learning method and 4FGL the catalog (OTHERRFO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_OTHER-RF-O | | Error on OTHER-RF-O (OTHERRFSTD_O) (stat.error) (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) (STAT_PROBABILITY) |
| | e_AGN-LR-O | | Error on AGN-LR-O (AGNLRSTD_O) (stat.error) (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) (STAT_PROBABILITY) |
| | e_PSR-LR-O | | Error on PSR-LR-O (PSRLRSTD_O) (stat.error) (ERROR) |
| | OTHER-LR-O | | Probability of being an OTHER with LR_O being the mac learning method and 4FGL the catalog (OTHERLRO) (stat.fit.goodness) (STAT_PROBABILITY) |
| | e_OTHER-LR-O | | Error on OTHER-LR-O (OTHERLRSTD_O) (stat.error) (ERROR) |
| | FlagMiss | | Missing values flag (MissingValuesFlag) (meta.code.error) (CODE_MISC) |
| | CatProb | (char) | Category probability (Category_Prob) (src.class) (CLASS_OBJECT) |
ALL cols | | | |