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)
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2022A&A...660A..87B
Similar Catalogs
[METAcat] [METAcells] [stats]
Post annotation 		img(gal)
1.J/A+A/660/A87/cat23FGL 2-class classification (3034 rows) (released 2022-06-13)
[METAtab] [METAcola]

Simple ConstraintList Of Constraints
 
Query by Constraints constraints help applied on Columns (Output Order: + - ) [METAcola]
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)
  E0 MeV 3FGL Energy at which error on differential flux is minimal (Pivot_Energy) (em.energy)
  SpType (char) Type of spectral fit (Spectrum_Type) (meta.note)
  Assoc1 (char) Association (ASSOC1) (meta.id.assoc)
  Flags3FGL  3FGL flags (Flags_3FGL) (meta.code.error)
  AGN-BDT  Probability of being an AGN with BDT being the mac learning method and 3FGL the catalog (AGN_BDT) (stat.fit.goodness)
  e_AGN-BDT  Error on AGN-BDT (AGNBDTSTD) (stat.error)
  PSR-BDT  Probability of being an PSR with BDT being the mac learning method and 3FGL 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 3FGL the catalog (AGN_NN) (stat.fit.goodness)

ALL cols		    
 (i)indexed column
  e_AGN-NN  Error on AGN-NN (AGNNNSTD) (stat.error)
  PSR-NN  Probability of being an AGN with PSR being the mac learning method and 3FGL 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 3FGL the catalog (AGN_RF) (stat.fit.goodness)
  e_AGN-RF  Error on AGN-RF (AGNRFSTD) (stat.error)
  PSR-RF  Probability of being an AGN with PSR being the mac learning method and 3FGL 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 3FGL 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 3FGL the catalog (PSR_LR) (stat.fit.goodness)
  e_PSR-LR  Error on PSR-LR (PSRLRSTD) (stat.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)
  e_AGN-BDT-O  Error on AGN-BDT-O (AGNBDTSTD_O) (stat.error)

ALL cols		    
 (i)indexed column
  PSR-BDT-O  Probability of being an PSR with DTB_O being the mac learning method and 3FGL 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 3FGL 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 3FGL 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 3FGL 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 3FGL 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 3FGL the catalog (AGNLRO) (stat.fit.goodness)
  e_AGN-LR-O  Error on AGN-LR-O-BDT (AGNLRSTD_O) (stat.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)
  e_PSR-LR-O  Error on PSR-LR-O-BDT (PSRLRSTD_O) (stat.error)
  FlagMiss  Missing values flag (MissingValuesFlag) (meta.code.error)
  CatProb (char) Category probability (Category_Prob) (src.class)
  _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		    
(n) indicates a possible blank or NULL column(i)indexed column
Adapt form
 Display your selection only Reset to default columns
usage  Display UCD1+    UCD1  
.errorfile=/tmp/V-3.err (2025-04-09T20:50:29)
-3
-source=J/A+A/660/A87/cat2
-ref=VIZ67f6dd954313
elapse time 0

Options: wopt=0, optS=0, onote=0, opt1=8, opos=0

Contents of error file (/tmp/V-3.err):
----db1_query(0 'metaviz@VIZIR'):
[1744231829]   Select ucdid, name, class, explain From METAucd where ucdid=249
----db1_reset(0 'metaviz@VIZIR')
----db1_query(0 'metaviz@VIZIR'):
[1744231829]   Select famid, name, explain From METAfam where famid=1167
----db1_reset(0 'metaviz@VIZIR')
----db1_query(0 'metaviz@VIZIR'):
[1744231829]   Select ucdid, name, class, explain From METAucd where ucdid=248
----db1_reset(0 'metaviz@VIZIR')
----db1_query(0 'metaviz@VIZIR'):
[1744231829]   Select famid, name, explain From METAfam where famid=1137
----db1_reset(0 'metaviz@VIZIR')
----inherit(u=used, h=hidden):
     [u] +source=J/A+A/660/A87/cat2
     [u] -ref=VIZ67f6dd954313
====inherit(): added 0 hidden fields
----free temporary files
----db1_close(0 'metaviz@VIZIR')
----db1_close(1 'metaviz@VIZIR')
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