LEDA 1200547 , the SIMBAD biblio

LEDA 1200547 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST18:56:32

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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
1994AJ....107.1245S viz 928 103 Spectroscopic CCD surveys for quasars at large redshift. III. The Palomar transit grism survey catalog. SCHNEIDER D.P., SCHMIDT M. and GUNN J.E.
2003A&A...412...45P viz 15       D               1 956189 750 HYPERLEDA. I. Identification and designation of galaxies. PATUREL G., PETIT C., PRUGNIEL P., et al.
2004A&A...416...35W viz 2466 10 Radio emission from AGN detected by the VLA FIRST survey. WADADEKAR Y.
2006A&A...455..773V viz 108223 628 A catalogue of quasars and active nuclei: 12th edition. VERON-CETTY M.-P. and VERON P.
2009ApJ...693.1261M 15       D               3 67 51 On the possible association of ultra high energy cosmic rays with nearby active galaxies. MOSKALENKO I.V., STAWARZ L., PORTER T.A., et al.
2009ApJ...696.1218Z 389       D     X C       10 62 28 Galaxies correlating with ultra-high energy cosmic rays. ZAW I., FARRAR G.R. and GREENE J.E.
2010A&A...518A..10V viz 15       D               1 168913 597 A catalogue of quasars and active nuclei: 13th edition. VERON-CETTY M.-P. and VERON P.
2011MNRAS.410..263Z 15       D               2 69 3 Testing the correlations between ultrahigh energy cosmic rays and the veron-cetty and veron catalogue of quasars and active galactic nuclei. ZAW I., FARRAR G.R. and BERLIND A.A.
2013AJ....146...87D viz 15       D               1 2392 ~ Detecting active galactic nuclei using multi-filter imaging data. II. Incorporating artificial neural networks. DONG X.Y. and DE ROBERTIS M.M.
2020MNRAS.494.1784A viz 16       D               1 47437 9 Local AGN survey (LASr): I. Galaxy sample, infrared colour selection, and predictions for AGN within 100 Mpc. ASMUS D., GREENWELL C.L., GANDHI P., et al.
2022MNRAS.509.3966W viz 17       D               1 89291 61 Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. WALMSLEY M., LINTOTT C., GERON T., et al.

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