PMN J1117-4838 , the SIMBAD biblio

PMN J1117-4838 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST12:39:17

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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
2011MNRAS.417.2651M viz 15       D               1 5893 47 Optical properties of high-frequency radio sources from the Australia Telescope 20 GHz (AT20G) Survey. MAHONY E.K., SADLER E.M., CROOM S.M., et al.
2012ApJS..199...31N viz 15       D               1 2260 1282 Fermi Large Area Telescope second source catalog. NOLAN P.L., ABDO A.A., ACKERMANN M., et al.
2012MNRAS.422.1527M viz 15       D               2 6426 22 ATPMN: accurate positions and flux densities at 5 and 8 GHz for 8385 sources from the PMN survey. McCONNELL D., SADLER E.M., MURPHY T., et al.
2012MNRAS.424.2832L viz 15       D               1 1877 43 Application of the Gaussian mixture model in pulsar astronomy – pulsar classification and candidates ranking for the Fermi 2FGL catalogue. LEE K.J., GUILLEMOT L., YUE Y.L., et al.
2013MNRAS.428..220H viz 15       D               1 473 19 Gamma-ray active galactic nucleus type through machine-learning algorithms. HASSAN T., MIRABAL N., CONTRERAS J.L., et al.
2013MNRAS.428.1845B viz 15       D               1 68 10 The Planck-ATCA Co-eval Observations project: the spectrally selected sample. BONALDI A., BONAVERA L., MASSARDI M., et al.
2014ApJS..215...14D viz 15       D               1 7877 110 The WISE blazar-like radio-loud sources: an all-sky catalog of candidate γ-ray blazars. D'ABRUSCO R., MASSARO F., PAGGI A., et al.
2015ApJS..217....2M viz 16       D               2 2199 42 Refining the associations of the Fermi large area telescope source catalogs. MASSARO F., D'ABRUSCO R., LANDONI M., et al.
2015ApJS..218...23A viz 16       D               1 3140 1411 Fermi Large Area Telescope third source catalog. ACERO F., ACKERMANN M., AJELLO M., et al.
2016MNRAS.455.3249M viz 16       D               3 465 11 The Planck-ATCA Co-eval Observations project: analysis of radio source properties between 5 and 217 GHz. MASSARDI M., BONALDI A., BONAVERA L., et al.
2016ApJ...820....8S viz 16       D               1 3047 91 Classification and ranking of Fermi LAT gamma-ray sources from the 3FGL catalog using machine learning techniques. SAZ PARKINSON P.M., XU H., YU P.L.H., et al.
2017A&A...602A..86L viz 16       D               1 1082 1 Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. LEFAUCHEUR J. and PITA S.
2017MNRAS.470.1291S viz 16       D               1 563 2 3FGLzoo: classifying 3FGL unassociated Fermi-LAT γ-ray sources by artificial neural networks. SALVETTI D., CHIARO G., LA MURA G., et al.
2019MNRAS.485...88P viz 16       D               1 1101 5 The Second LBA Calibrator Survey of southern compact extragalactic radio sources - LCS2. PETROV L., DE WITT A., SADLER E.M., et al.
2019ApJS..242....4D viz 16       D               1 9583 45 Two new catalogs of blazar candidates in the WISE Infrared sky. D'ABRUSCO R., ALVAREZ CRESPO N., MASSARO F., et al.
2020MNRAS.494..923C viz 16       D               1 3612 ~ WISE mid-infrared properties of compact active galactic nuclei selected from the high radio frequency AT20G survey. CHHETRI R., KIMBALL A., EKERS R.D., et al.
2021ApJ...908..177K 17       D               1 109 ~ Classifying blazar candidates from the 3FGL unassociated catalog into BL Lacertae objects and flat spectrum radio quasars Using Swift and WISE data. KAUR A., FALCONE A.D. and STROH M.C.
2021AJ....161..154K viz 17       D               2 185 ~ X-ray spectra and multiwavelength machine learning classification for likely counterparts to Fermi 3FGL unassociated sources. KERBY S., KAUR A., FALCONE A.D., et al.
2021A&A...655A..17S viz 17       D               1 338578 3 The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. STEIN Y., VOLLMER B., BOCH T., et al.
2022A&A...660A..87B viz 17       D               1 6191 10 Machine learning methods for constructing probabilistic Fermi-LAT catalogs. BHAT A. and MALYSHEV D.

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