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4FGL J1003.4+0205 , the SIMBAD biblio (22 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST10:47:05 |
Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
---|---|---|---|---|---|---|---|---|---|
2006A&A...455..773V | 108224 | 628 | A catalogue of quasars and active nuclei: 12th edition. | VERON-CETTY M.-P. and VERON P. | |||||
2007ApJ...664...53A | 31831 | 13 | Photometric selection of QSO candidates from GALEX sources. | ATLEE D.W. and GOULD A. | |||||
2008AJ....135.2453P | 15 | D | 1 | 508 | 44 | A large sample of BL Lac objects from the SDSS and FIRST. | PLOTKIN R.M., ANDERSON S.F., HALL P.B., et al. | ||
2010AJ....139..390P | 15 | D | 1 | 732 | 98 | Optically selected BL Lacertae candidates from the Sloan Digital Sky Survey data release seven. | PLOTKIN R.M., ANDERSON S.F., BRANDT W.N., et al. | ||
2010A&A...518A..10V | 15 | D | 1 | 168913 | 597 | A catalogue of quasars and active nuclei: 13th edition. | VERON-CETTY M.-P. and VERON P. | ||
2011A&A...529A.162H | 15 | D | 1 | 194 | 22 | Polarimetry of optically selected BL Lacertae candidates from the SDSS. | HEIDT J. and NILSSON K. | ||
2016ApJ...817...34M | 16 | D | 1 | 4057 | 237 | The Chandra COSMOS legacy survey: optical/IR identifications. | MARCHESI S., CIVANO F., ELVIS M., et al. | ||
2016ApJ...819...62C | 16 | D | 1 | 4017 | 337 | The Chandra Cosmos Legacy survey: overview and point source catalog. | CIVANO F., MARCHESI S., COMASTRI A., et al. | ||
2019A&A...632A..77C | 17 | D | 1 | 2018 | 54 | The 3HSP catalogue of extreme and high-synchrotron peaked blazars. | CHANG Y.-L., ARSIOLI B., GIOMMI P., et al. | ||
2019ApJ...887..134K | 17 | D | 1 | 1313 | ~ | Evaluating the classification of Fermi BCUs from the 4FGL catalog using machine learning. | KANG S.-J., LI E., OU W., et al. | ||
2020MNRAS.493.1926K | 17 | D | 1 | 1330 | ~ | Classification of blazar candidates of uncertain type from the Fermi LAT 8-yr source catalogue with an artificial neural network. | KOVACEVIC M., CHIARO G., CUTINI S., et al. | ||
2020ApJS..247...33A | 17 | D | 1 | 5180 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
2020ApJ...892..105A | 17 | D | 1 | 3424 | 235 | The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. | AJELLO M., ANGIONI R., AXELSSON M., et al. | ||
2021MNRAS.504.3338P | 17 | D | 2 | 102 | ~ | The spectra of IceCube neutrino candidate sources - I. Optical spectroscopy of blazars. | PAIANO S., FALOMO R., TREVES A., et al. | ||
2021MNRAS.505.5853G | 17 | D | 2 | 5840 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
2022ApJS..260...53A | 18 | D | 1 | 6714 | 133 | Incremental Fermi Large Area Telescope Fourth Source Catalog. | ABDOLLAHI S., ACERO F., BALDINI L., et al. | ||
2022ApJS..262...18Y | 18 | D | 1 | 2709 | 8 | The Spectral Energy Distributions for 4FGL Blazars. | YANG J.H., FAN J.H., LIU Y., et al. | ||
2022ApJS..263...24A | 18 | D | 1 | 3830 | 15 | The Fourth Catalog of Active Galactic Nuclei Detected by the Fermi Large Area Telescope: Data Release 3. | AJELLO M., BALDINI L., BALLET J., et al. | ||
2023MNRAS.521.2270P | 485 | D | S X F | 9 | 63 | ~ | The spectra of IceCube Neutrino (SIN) candidate sources - III. Optical spectroscopy and source characterization of the full sample. | PAIANO S., FALOMO R., TREVES A., et al. | |
2023MNRAS.523.4120D | 19 | D | 1 | 421 | ~ | Hybrid deep learning for blazar classification and correlation search with neutrinos. | DING J., HUANG Y., LI X.-D., et al. | ||
2023ApJS..268...23F | 19 | D | 1 | 2708 | ~ | Characterizing the Emission Region Properties of Blazars. | FAN J., XIAO H., YANG W., et al. | ||
2023MNRAS.526..661K | 345 | D | X | 8 | 58 | ~ | The spectra of IceCube Neutrino (SIN) candidate sources - IV. Spectral energy distributions and multiwavelength variability. | KARL M., PADOVANI P. and GIOMMI P. |