PSO J190.9687-02.3106 , the SIMBAD biblio

PSO J190.9687-02.3106 , the SIMBAD biblio (32 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST15:15:27

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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
2008ApJS..175...97H viz 15       D               1 1626 244 CGRaBS: an all-sky survey of gamma-ray blazar candidates. HEALEY S.E., ROMANI R.W., COTTER G., et al.
2011ApJS..194...29R viz 243       D     X C       6 1164 401 Blazars in the Fermi era: the OVRO 40 m telescope monitoring program. RICHARDS J.L., MAX-MOERBECK W., PAVLIDOU V., et al.
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.
2014MNRAS.438.3058R viz 15       D               1 1414 31 Connecting radio variability to the characteristics of gamma-ray blazars. RICHARDS J.L., HOVATTA T., MAX-MOERBECK W., et al.
2014MNRAS.439..690H viz 15       D               1 1318 51 Connection between optical and γ-ray variability in blazars. HOVATTA T., PAVLIDOU V., KING O.G., 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.
2015ApJ...810...14A viz 16       D               1 1890 513 The third catalog of active galactic nuclei detected by the Fermi large area telescope. ACKERMANN M., AJELLO M., ATWOOD W.B., 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.
2016A&A...593A..34D 157           X         4 4 7 Planetary Radio Interferometry and Doppler Experiment (PRIDE) technique: A test case of the Mars Express Phobos fly-by. DUEV D.A., POGREBENKO S.V., CIMO G., et al.
2016ApJS..226...20F viz 16       D               1 1394 122 The spectral energy distributions of Fermi blazars. FAN J.H., YANG J.H., LIU Y., et al.
2016MNRAS.462.3180C viz 16       D               1 576 21 Blazar flaring patterns (B-FlaP) classifying blazar candidate of uncertain type in the third Fermi-LAT catalogue by artificial neural networks. CHIARO G., SALVETTI D., LA MURA G., et al.
2017MNRAS.467.4565L viz 16       D               1 1193 4 Bimodal radio variability in OVRO-40 m-monitored blazars. LIODAKIS I., PAVLIDOU V., HOVATTA T., et al.
2018ApJS..235...39C viz 16       D               1 1395 63 On the jet properties of γ-ray-loud active galactic nuclei. CHEN L.
2018ApJS..237...32A viz 16       D               1 2605 130 The search for spatial extension in high-latitude sources detected by the Fermi Large Area Telescope. ACKERMANN M., AJELLO M., BALDINI L., 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.
2019MNRAS.490.4770K viz 16       D               1 567 ~ Optimizing neural network techniques in classifying Fermi-LAT gamma-ray sources. KOVACEVIC M., CHIARO G., CUTINI S., et al.
2019ApJ...887..134K viz 16       D               1 1314 ~ 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 viz 16       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 viz 16       D               1 5175 880 Fermi Large Area Telescope fourth source catalog. ABDOLLAHI S., ACERO F., ACKERMANN M., et al.
2020ApJ...892..105A viz 16       D               1 3421 235 The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. AJELLO M., ANGIONI R., AXELSSON M., 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.
2020ApJS..248...23D viz 16       D               1 283 ~ On the physical association of Fermi-LAT blazars with their low-energy counterparts. DE MENEZES R., D'ABRUSCO R., MASSARO F., et al.
2021MNRAS.505.5853G 17       D               2 5834 ~ Artificial Neural Network classification of 4FGL sources. GERMANI S., TOSTI G., LUBRANO P., 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               2 6191 10 Machine learning methods for constructing probabilistic Fermi-LAT catalogs. BHAT A. and MALYSHEV D.
2022ApJS..260....4P viz 17       D               1 7976 3 Direction of Parsec-scale Jets for 9220 Active Galactic Nuclei. PLAVIN A.V., KOVALEV Y.Y. and PUSHKAREV A.B.
2022ApJS..260...53A viz 17       D               1 6710 133 Incremental Fermi Large Area Telescope Fourth Source Catalog. ABDOLLAHI S., ACERO F., BALDINI L., et al.
2022ApJS..263...24A viz 17       D               1 3828 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.523.4120D 17       D               1 420 ~ Hybrid deep learning for blazar classification and correlation search with neutrinos. DING J., HUANG Y., LI X.-D., et al.
2023ApJ...954...75A 17       D               1 37 ~ Search for Correlations of High-energy Neutrinos Detected in IceCube with Radio-bright AGN and Gamma-Ray Emission from Blazars. ABBASI R., ACKERMANN M., ADAMS J., et al.
2024MNRAS.530.2282D 1940 ~ Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. DUDA J. and BHATTA G.
2024A&A...690A.111K viz 18       D               1 1011 ~ Association of the IceCube neutrinos with blazars in the CGRaBS sample. KOUCH P.M., LINDFORS E., HOVATTA T., et al.

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