Classification of New X-Ray Counterparts for Fermi Unassociated Gamma-Ray Sources Using the Swift X-Ray Telescope

被引:22
作者
Kaur, Amanpreet [1 ]
Falcone, Abraham D. [1 ]
Stroh, Michael D. [2 ]
Kennea, Jamie A. [1 ]
Ferrara, Elizabeth C. [3 ,4 ]
机构
[1] Penn State Univ, 525 Davey Lab, University Pk, PA 16802 USA
[2] Northwestern Univ, CIREA, Evanston, IL 60208 USA
[3] NASA, Goddard Space Flight Ctr, Code 916, Greenbelt, MD 20771 USA
[4] Univ Maryland, Dept Astron, College Pk, MD 20742 USA
关键词
SKY;
D O I
10.3847/1538-4357/ab4ceb
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Approximately one-third of the gamma-ray sources in the third Fermi-LAT catalog are unidentified or unassociated with objects at other wavelengths. Observations with the X-Ray Telescope on the Neil Gehrels Swift Observatory (Swift-XRT) have yielded possible counterparts in similar to 30% of these source regions. The objective of this work is to identify the nature of these possible counterparts, utilizing their gamma-ray properties coupled with the Swift derived X-ray properties. The majority of the known sources in the Fermi catalogs are blazars, which constitute the bulk of the extragalactic gamma-ray source population. The galactic population on the other hand is dominated by pulsars. Overall, these two categories constitute the majority of all gamma-ray objects. Blazars and pulsars occupy different parameter space when X-ray fluxes are compared with various gamma-ray properties. In this work, we utilize the X-ray observations performed with the Swift-XRT for the unknown Fermi sources and compare their X-ray and gamma-ray properties to differentiate between the two source classes. We employ two machine-learning algorithms, decision tree and random forest (RF) classifier, to our high signal-to-noise ratio sample of 217 sources, each of which corresponds to Fermi unassociated regions. The accuracy scores for both methods were found to be 97% and 99%, respectively. The RF classifier, which is based on the application of a multitude of decision trees, associated a probability value (P-bzr) for each source to be a blazar. This yielded 173 blazar candidates from this source sample, with P-bzr >= 90% for each of these sources, and 134 of these possible blazar source associations had P-bzr >= 99%. The results yielded 13 sources with P-bzr <= 10%, which we deemed as reasonable candidates for pulsars, seven of which result with P-bzr <= 1%. There were 31 sources that exhibited intermediate probabilities and were termed ambiguous due to their unclear characterization as a pulsar or a blazar.
引用
收藏
页数:11
相关论文
共 48 条
  • [21] A MULTIWAVELENGTH STUDY ON THE HIGH-ENERGY BEHAVIOR OF THE FERMI/LAT PULSARS
    Marelli, Martino
    De Luca, Andrea
    Caraveo, Patrizia A.
    [J]. ASTROPHYSICAL JOURNAL, 2011, 733 (02)
  • [22] The gamma-ray blazar quest: new optical spectra, state of art and future perspectives
    Massaro, F.
    Crespo, N. Alvarez
    D'Abrusco, R.
    Landoni, M.
    Masetti, N.
    Ricci, F.
    Milisavljevic, D.
    Paggi, A.
    Chavushyan, V.
    Jimenez-Bailon, E.
    Patino-Alvarez, V.
    Strader, J.
    Chomiuk, L.
    La Franca, F.
    Smith, Howard A.
    Tosti, G.
    [J]. ASTROPHYSICS AND SPACE SCIENCE, 2016, 361 (10)
  • [23] THE WISE GAMMA-RAY STRIP PARAMETERIZATION: THE NATURE OF THE GAMMA-RAY ACTIVE GALACTIC NUCLEI OF UNCERTAIN TYPE
    Massaro, F.
    D'Abrusco, R.
    Tosti, G.
    Ajello, M.
    Gasparrini, D.
    Grindlay, J. E.
    Smith, Howard A.
    [J]. ASTROPHYSICAL JOURNAL, 2012, 750 (02)
  • [24] SUMSS: a wide-field radio imaging survey of the southern sky - II. The source catalogue
    Mauch, T
    Murphy, T
    Buttery, HJ
    Curran, J
    Hunstead, RW
    Piestrzynski, B
    Robertson, JG
    Sadler, EM
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2003, 342 (04) : 1117 - 1130
  • [25] 3FGL DEMOGRAPHICS OUTSIDE THE GALACTIC PLANE USING SUPERVISED MACHINE LEARNING: PULSAR AND DARK MATTER SUBHALO INTERPRETATIONS
    Mirabal, N.
    Charles, E.
    Ferrara, E. C.
    Gonthier, P. L.
    Harding, A. K.
    Sanchez-Conde, M. A.
    Thompson, D. J.
    [J]. ASTROPHYSICAL JOURNAL, 2016, 825 (01)
  • [26] Fermi's SIBYL: mining the gamma-ray sky for dark matter subhaloes
    Mirabal, N.
    Frias-Martinez, V.
    Hassan, T.
    Frias-Martinez, E.
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2012, 424 (01) : L64 - L68
  • [27] Mukai K., 1993, LEGACY, V3, P21
  • [28] FERMI LARGE AREA TELESCOPE SECOND SOURCE CATALOG
    Nolan, P. L.
    Abdo, A. A.
    Ackermann, M.
    Ajello, M.
    Allafort, A.
    Antolini, E.
    Atwood, W. B.
    Axelsson, M.
    Baldini, L.
    Ballet, J.
    Barbiellini, G.
    Bastieri, D.
    Bechtol, K.
    Belfiore, A.
    Bellazzini, R.
    Berenji, B.
    Bignami, G. F.
    Blandford, R. D.
    Bloom, E. D.
    Bonamente, E.
    Bonnell, J.
    Borgland, A. W.
    Bottacini, E.
    Bouvier, A.
    Brandt, T. J.
    Bregeon, J.
    Brigida, M.
    Bruel, P.
    Buehler, R.
    Burnett, T. H.
    Buson, S.
    Caliandro, G. A.
    Cameron, R. A.
    Campana, R.
    Canadas, B.
    Cannon, A.
    Caraveo, P. A.
    Casandjian, J. M.
    Cavazzuti, E.
    Ceccanti, M.
    Cecchi, C.
    Celik, Oe
    Charles, E.
    Chekhtman, A.
    Cheung, C. C.
    Chiang, J.
    Chipaux, R.
    Ciprini, S.
    Claus, R.
    Cohen-Tanugi, J.
    [J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2012, 199 (02)
  • [29] Paiano S., 2018, APJ, V851, P135
  • [30] PAIANO S, 2017, APJ, V837, DOI DOI 10.3847/1538-4357/837/2/144