FSRQs & BL Lac objects from 4FGL blazar candidates J/ApJ/943/167 ivo://CDS.VizieR/J/ApJ/943/167 doi:10.26093/cds/vizier.19430167 CDS Kaur A. Kerby S. Falcone A.D. 2025-05-21T20:14:35Z 2025-02-12T10:43:49Z CDS support team CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France cds-question@unistra.fr bl-lacertae-objects quasars active-galactic-nuclei gamma-ray-astronomy x-ray-sources two-color-diagrams infrared-astronomy visible-astronomy ultraviolet-astronomy Among the ~2157 unassociated sources in the third data release (DR3) of the fourth Fermi catalog, ~1200 were observed with the Neil Gehrels Swift Observatory pointed instruments. These observations yielded 238 high signal-to-noise ratio X-ray sources within the 95% Fermi uncertainty regions. Recently, Kerby+ (2021, J/ApJ/923/75) employed neural networks to find blazar candidates among these 238 X-ray counterparts to the 4FGL unassociated sources and found 112 likely blazar counterpart sources. A complete sample of blazars, along with their subclassification, is a necessary step to help understand the puzzle of the blazar sequence and for the overall completeness of the gamma-ray emitting blazar class in the Fermi catalog. We employed a multi-perceptron neural network classifier to identify flat spectrum radio quasars (FSRQs) and BL Lac objects among these 112 blazar candidates using the gamma-ray, X-ray, UV/optical, and IR properties. This classifier provided probability estimates for each source to be associated with one or the other category, such that Pfsrq represents the probability for a source to be associated with the FSRQ subclass. Using this approach, four FSRQs and 50 BL Lac objects are classified as such with >99% confidence, while the remaining 58 blazars could not be unambiguously classified as either BL Lac objects or FSRQs. 2023ApJ...943..167K https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/943/167 Catalog Research IsServedBy TAP VizieR generic service IsServedBy Conesearch service related-to B/sb9 : SB9: 9th Catalog of Spectroscopic Binary Orbits (Pourbaix+ 2004-2014) IX/10 : ROSAT All-Sky Bright Source Catalogue (1RXS) (Voges+ 1999) II/328 : AllWISE Data Release (Cutri+ 2013) IX/67 : Incremental Fermi LAT 4th source cat. 4FGL-DR3 (Fermi-LAT col., 2022) VIII/76 : Leiden/Argentine/Bonn (LAB) Survey of Galactic HI (Kalberla+ 2005) VII/259 : 6dF galaxy survey final redshift release (Jones+, 2009) V/154 : Sloan Digital Sky Surveys (SDSS), Release 16 (DR16) (Ahumada+, 2020) J/ApJ/715/429 : First Fermi-LAT AGN catalog (1LAC) (Abdo+, 2010) J/AcA/62/67 : ASAS photometry of ROSAT sources (Kiraga, 2012) J/A+A/538/A26 : BL Lac objects beyond z=1.3 (Rau+, 2012) J/A+A/548/A99 : XMM-Newton Slew Survey in 2-10keV (Warwick+, 2012) J/ApJS/215/14 : WISE {gamma}-ray blazar radio sources (D'Abrusco+, 2014) J/ApJ/782/41 : 231 AGN candidates from the 2FGL catalog (Doert+, 2014) J/ApJ/797/82 : Brightest cluster galaxies in Abell clusters (Lauer+, 2014) J/MNRAS/470/1291 : Classifying 3FGL with ANN (Salvetti+, 2017) J/A+A/632/A77 : 3HSP blazars catalog (Chang+, 2019) J/ApJ/887/134 : Classif. of Fermi blazar cand. from the 4FGL (Kang+, 2019) J/ApJ/887/18 : Classif. of X-ray counterparts of 3FGL sources (Kaur+, 2019) J/MNRAS/493/1926 : 4FGL blazar classification neural network (Kovacevic+, 2020) J/ApJ/923/75 : X-ray/UV/opt xids of 4FGL gamma-ray sources (Kerby+, 2021) J/ApJS/253/46 : Optical spectroscopy of Fermi blazars (Paliya+, 2021) https://cds.unistra.fr/vizier-org/licences_vizier.html https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/943/167 https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/943/167 http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/943/167 https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/943/167 https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/943/167 http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/943/167 GET text/xml+votable https://tapvizier.cds.unistra.fr/TAPVizieR/tap Cone search capability for table J/ApJ/943/167/table1 (The 1098 sources used for training data containing BL Lacs and Flat Spectrum Radio Quasars) https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/943/167/table1? https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/943/167/table1? http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/943/167/table1? GET text/xml+votable 180.0 50000 true 0.3251039 -7.7741444 0.005555555555555556 Cone search capability for table J/ApJ/943/167/sample (Source from Kerby+ 2021, J/ApJ/923/75: blazar candidates (Table 2) and association results based on the neural network probabilities (Table 3)) https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/943/167/sample? https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/943/167/sample? http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/943/167/sample? GET text/xml+votable 180.0 50000 true 1.1425 -40.009722 0.005555555555555556 6/29 49-50 60 100 110 250 342 398 438 447 514 532 579 597 611 615 700 716-717 760 770 808 836 851 911 973 988 991 1085 1120 1153-1154 1509 1531 1546 1782 1915 2028 2094 2100 2122 2143 2167 2228 2249 2273 2295 2324 2331 2340 2404 2414 2484 2505 2549 2610 2621 2708 2792 2808 2836 2844 2867 3004 3023-3024 3096 3428 3431 3492 3569 3616 3629 3675 3712 3721 3784 3820 3876 3882 3886 3951 3974 4054 4160 4190 4255 4312 4407 4472 4475 4543 4572 4606 4672 4685 4695 4705 4750 4770 4798 4805 4820 4824 4861 4865 4880 4882 4923 4960 4964 4974 5009 5072 5091 5125 5139 5154 5156 5162 5191 5193 5201 5212 5270 5284 5311 5353 5371 5390 5413 5421 5423 5448 5458 5462 5483 5516 5522-5523 5536 5546 5597 5614 5657 5673 5687 5693 5771 5784 5800 5817 5836 5848 5860 5870 5872 5918 5939 5990 5999 6015 6018 6021 6067 6088 6096 6101 6110 6164 6167 6204 6255 6348 6368 6386 6406 6436 6477 6496 6501-6502 6507 6548 6636 6647 6723 6764 6777 6815 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40265 40344 40351 40353 40366 40412 40479 40527 40533 40689 40692 40703 40762 40766 40808 40811 40831 40885 40949 41072 41110 41253 41359 41363 41631 42099 42379 42515 42571 42609 42658 42901 42914 42980 42989 43085 43122 43366 43380 43421 43447 43451 43503 43596-43597 43603 43630 43822 43883 44043 44059 44069 44129 44147 44170 44247 44340 44592 44705 44751 44813 44908 44986 45011 45016 45038 45077 45164 45178 45375 45482 45713 45859 45943 45974 46055 46142 46204 46209 46220 46239 46251 46258 46310 46337 46369-46370 46373-46374 46442 46444 46480 46545 46568 46622 46721 46740 46798 46835 46852 46963-46964 47014 47016 47021 47057 47151 47319 47327 47375 47392 47512 47534 47540 47649 47960 48023 48123 48200 48245 48300 48362 48388 48419 48443 48589 48595 48603 48624 48629 48685 48797-48798 48846 48985 49037 49071 49083 49141 https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJ/943/167?format=ascii Gamma-ray X-ray UV Optical Infrared default J/ApJ/943/167/table1 The 1098 sources used for training data containing BL Lacs and Flat Spectrum Radio Quasars Simbad Simbad column added by the CDS meta.ref.url char NED NED column added by the CDS meta.ref.url char recno Record number assigned by the VizieR team. Should Not be used for identification. meta.record int Type Source type ("BL Lacs" or "FSRQ") src.class char 4FGL Fermi 4FGL catalog identifier (JHHMM.m+DDMM) meta.id;meta.main char logFg [-12.16/-9] Log Gamma-ray flux; erg/s/cm^2^ log(mW.m**-2) phot.flux.density;em.gamma float Gamma [1.45/3.1] The Gamma-ray photon index spect.index float Var [-4/1.61] Year-over-year Gamma-ray variability index src.var.index float Curve [0.27/4.9] Significance of the curvature in Gamma-ray spectrum stat.fit.goodness float logFX/Fg [-2.76/1.27] Log X-ray to Gamma-ray flux phot.flux;em.X-ray;em.gamma float logFV/Fg [-7.44/-2.66] Log V band to Gamma-ray flux phot.flux;em.opt.V;em.gamma float W1-W2 [0.05/1.51] WISE (W1-W2) color index mag phot.color;em.IR.3-4um;em.IR.4-8um float W2-W3 [0.7/5.26] WISE (W2-W3) color index mag phot.color;em.IR.8-15um;em.IR.15-30um float _RA Right Ascension (J2000) from SIMBAD (not part of the original data) deg pos.eq.ra;meta.main _DE Declination (J2000) from SIMBAD (not part of the original data) deg pos.eq.dec;meta.main
J/ApJ/943/167/sample Source from Kerby+ 2021, J/ApJ/923/75: blazar candidates (Table 2) and association results based on the neural network probabilities (Table 3) Simbad Simbad column added by the CDS meta.ref.url char NED NED column added by the CDS meta.ref.url char recno Record number assigned by the VizieR team. Should Not be used for identification. meta.record int 4FGL Fermi 4FGL catalog identifier (JHHMM.m+DDMM) meta.id;meta.main char SwXF4 Swift/XRT SwXF4 identifier (JHHMMSS.s+DDMMSS) meta.id.cross char SwUVF4 Swift/UVOT SwUVF4 identifier (JHHMMSS.s+DDMMSS) meta.id.assoc char logFg [-12.14/-10.19] Log Gamma-ray flux; erg/s/cm^2^ log(mW.m**-2) phot.flux.density;em.gamma float Gamma [1.69/3.1] The Gamma-ray photon index spect.index float Var [-4/0.73] Year-over-year Gamma-ray variability index src.var.index float Curve [0.48/1.9] Significance of the curvature in Gamma-ray spectrum stat.fit.goodness float logFX/Fg [-1.66/3.2] Log X-ray to Gamma-ray flux phot.flux;em.X-ray;em.gamma float logFV/Fg [-5.96/-1.9] Log V band to Gamma-ray flux phot.flux;em.opt.V;em.gamma float W1-W2 [-0.09/1.2] WISE (W1-W2) color index mag phot.color;em.IR.3-4um;em.IR.4-8um float W2-W3 [-0.17/3.31]? WISE (W2-W3) color index mag phot.color;em.IR.8-15um;em.IR.15-30um float nullable RType Result type code (1) meta.code.class char f_4FGL [b] Flag on 4FGL (2) meta.code char Pfsrq [0.006/0.993] Probability source is an FSRQ stat.probability float nullable SType Source type from SIMBAD/SDSS src.class char z [0.05/1.66]? Redshift src.redshift float nullable r_z Reference and/or flag for z (3) meta.ref;src.redshift char _RA Positions from SwUVF4 names (right ascension part) deg pos.eq.ra;meta.main _DE Positions from SwUVF4 names (declination part) deg pos.eq.dec;meta.main