A STATISTICAL APPROACH TO RECOGNIZING SOURCE CLASSES FOR UNASSOCIATED SOURCES IN THE FIRST FERMI-LAT CATALOG

Ackermann M, Ajello M, Allafort A, Antolini E, Baldini L, Ballet J, Barbiellini G, Bastieri D, Bellazzini R, Berenji B, Blandford RD, Bloom ED, Bonamente E, Borgland AW, Bouvier A, Brandt TJ, Bregeon J, Brigida M, Bruel P, Buehler R, Burnett TH, Buson S, Caliandro GA, Cameron RA, Caraveo PA, Casandjian JM, Cavazzuti E, Cecchi C, Celik O, Charles E, Chekhtman A, Chen AW, Cheung CC, Chiang J, Ciprini S, Claus R, Cohen-Tanugi J, Conrad J, Cutini S, De Angelis A, Decesar ME, De Luca A, De Palma F, Dermer CD, Do Couto E Silva E, Drell PS, Drlica-Wagner A, Dubois R, Enoto T, Favuzzi C, Fegan SJ, Ferrara EC, Focke WB, Fortin P, Fukazawa Y, Funk S, Fusco P, Gargano F, Gasparrini D, Gehrels N, Germani S, Giglietto N, Giordano F, Giroletti M, Glanzman T, Godfrey G, Grenier IA, Grondin MH, Grove JE, Guillemot L, Guiriec S, Gustafsson M, Hadasch D, Hanabata Y, Harding AK, Hayashida M, Hays E, Healey SE, Hill AB, Horan D, Hou X, Johannesson G, Johnson AS, Johnson TJ, Kamae T, Katagiri H, Kataoka J, Kerr M, Knoedlseder J, Kuss MW, Lande J, Latronico L, Lee SH, Lemoine-Goumard M, Longo F, Loparco F, Lott B, Lovellette MN, Lubrano P, Madejski GM, Mazziotta MN, Mcenery JE, Mehault J, Michelson PF, Mignani RP, Mitthumsiri W, Mizuno T, Monte C, Monzani ME, Morselli A, Moskalenko IV, Murgia S, Nakamori T, Naumann-Godo M, Nolan PL, Norris JP, Nuss E, Ohsugi T, Okumura A, Omodei N, Orlando E, Ormes JF, Ozaki M, Paneque D, Panetta JH, Parent D, Pelassa V, Pesce-Rollins M, Pierbattista M, Piron F, Pivato G, Porter TA, Raino S, Rando R, Ray PS, Razzano M, Reimer A, Reimer O, Reposeur T, Romani RW, Sadrozinski HFW, Salvetti D, Parkinson PMS, Schalk TL, Sgro C, Shaw MS, Siskind EJ, Smith PD, Spandre G, Spinelli P, Suson DJ, Takahashi HH, Tanaka T, Thayer JG, Thayer JB, Thompson DJ, Tibaldo L, Tibolla O, Torres DF, Tosti G, Tramacere A, Troja E, Usher TL, Vandenbroucke J, Vasileiou V, Vianello G, Vilchez N, Vitale V, Waite AP, Wallace E, Wang P, Winer BL, Wolff MT, Wood DL, Wood KS, Yang Z, Zimmer S (2012)

Publication Type: Journal article

Publication year: 2012

Journal

Book Volume: 753

Journal Issue: 1

DOI: 10.1088/0004-637X/753/1/83

Abstract

The Fermi Large Area Telescope (LAT) First Source Catalog (1FGL) provided spatial, spectral, and temporal properties for a large number of gamma-ray sources using a uniform analysis method. After correlating with the most-complete catalogs of source types known to emit gamma rays, 630 of these sources are "unassociated" (i.e., have no obvious counterparts at other wavelengths). Here, we employ two statistical analyses of the primary gamma-ray characteristics for these unassociated sources in an effort to correlate their gamma-ray properties with the active galactic nucleus (AGN) and pulsar populations in 1FGL. Based on the correlation results, we classify 221 AGN-like and 134 pulsar-like sources in the 1FGL unassociated sources. The results of these source "classifications" appear to match the expected source distributions, especially at high Galactic latitudes. While useful for planning future multiwavelength follow-up observations, these analyses use limited inputs, and their predictions should not be considered equivalent to "probable source classes" for these sources. We discuss multiwavelength results and catalog cross-correlations to date, and provide new source associations for 229 Fermi-LAT sources that had no association listed in the 1FGL catalog. By validating the source classifications against these new associations, we find that the new association matches the predicted source class in similar to 80% of the sources.

Authors with CRIS profile

Involved external institutions

Deutsches Elektronen-Synchrotron DESY Germany (DE) Stanford University United States (USA) (US) National Institute for Nuclear Physics / Istituto Nazionale di Fisica Nucleare (INFN) Italy (IT) University of Paris 7 - Denis Diderot / Université Paris VII Denis Diderot France (FR) University of California Santa Cruz United States (USA) (US) Institut de Recherche en Astrophysique et Planétologie (IRAP) France (FR) University of Bari Aldo Moro / Università degli Studi di Bari Aldo Moro Italy (IT) École Polytechnique - Université Paris-Saclay France (FR) University of Washington United States (USA) (US) Institut de Ciències de l'Espai (ICE) Spain (ES) National Institute for Astrophysics / Istituto Nazionale Astrofisica (INAF) Italy (IT) Italian Space Agency / Agenzia Spaziale Italiana (ASI) Italy (IT) National Aeronautics and Space Administration (NASA) United States (USA) (US) Artep United States (USA) (US) National Academy of Sciences United States (USA) (US) Università degli Studi di Perugia Italy (IT) University of Montpellier / Université Montpellier France (FR) Stockholm University / Stockholms universitet Sweden (SE) Istituto Universitario Di Studi Superiori Di Pavia Italy (IT) Hiroshima University / 広島大学 Japan (JP) University of Southampton United Kingdom (GB) Université Bordeaux 1, Sciences et Technologies France (FR) Ibaraki University / 茨城大学 Japan (JP) Waseda University / 早稲田大学 Japan (JP) Kyoto University / 京都大学 Kyōto daigaku Japan (JP) U.S. Naval Research Laboratory United States (USA) (US) University College London (UCL) United Kingdom (GB) University of Udine / Università degli Studi di Udine Italy (IT) Max-Planck-Institut für Kernphysik (MPIK) / Max Planck Institute for Nuclear Physics Germany (DE) Max-Planck-Institut für Radioastronomie / Max Planck Institute for Radio Astronomy Germany (DE) University of Alabama in Huntsville (UAH) United States (USA) (US) University of Iceland (UI) / Háskóli Íslands Iceland (IS) Purdue University Northwest / Purdue University Calumet United States (USA) (US) Boise State University United States (USA) (US) University of Denver United States (USA) (US) Japan Aerospace eXploration Agency (JAXA) Japan (JP) George Mason University United States (USA) (US) University of Padua / Universita degli Studi di Padova Italy (IT) NYCB Real-Time Computing, Inc. United States (USA) (US) Ohio State University United States (USA) (US) Julius-Maximilians-Universität Würzburg Germany (DE) Praxis, Inc. United States (USA) (US)

How to cite

APA:

Ackermann, M., Ajello, M., Allafort, A., Antolini, E., Baldini, L., Ballet, J.,... Zimmer, S. (2012). A STATISTICAL APPROACH TO RECOGNIZING SOURCE CLASSES FOR UNASSOCIATED SOURCES IN THE FIRST FERMI-LAT CATALOG. Astrophysical Journal, 753(1). https://doi.org/10.1088/0004-637X/753/1/83

MLA:

Ackermann, Markus, et al. "A STATISTICAL APPROACH TO RECOGNIZING SOURCE CLASSES FOR UNASSOCIATED SOURCES IN THE FIRST FERMI-LAT CATALOG." Astrophysical Journal 753.1 (2012).

BibTeX: Download