1RXS J192244.1-745411 , the SIMBAD biblio

1RXS J192244.1-745411 , the SIMBAD biblio (32 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST00:01:41

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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
2011ApJ...743..171A viz 15       D               1 977 589 The second catalog of active galactic nuclei detected by the Fermi large area telescope. ACKERMANN M., AJELLO M., ALLAFORT A., 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.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.
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.
2016ApJS..222....5A viz 16       D               1 393 229 2FHL: the second catalog of hard Fermi-LAT sources. 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.
2017A&A...598A..17C viz 16       D               1 1692 30 2WHSP: A multi-frequency selected catalogue of high energy and very high energy γ-ray blazars and blazar candidates. CHANG Y.-L., ARSIOLI B., GIOMMI P., et al.
2017A&A...602A..86L viz 16       D               2 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.
2017ApJS..232...18A viz 16       D               1584 263 3FHL: the Third Catalog of Hard Fermi-LAT Sources. AJELLO M., ATWOOD W.B., BALDINI L., et al.
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.
2018A&A...619A..23C viz 16       D               1 1351 ~ A MST catalogue of γ-ray source candidates above 10 GeV and at Galactic latitudes higher than 20°. CAMPANA R., MASSARO E. and BERNIERI E.
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.
2019ApJ...887...18K viz 16       D               2 250 ~ Classification of new X-ray counterparts for Fermi unassociated gamma-ray sources using the Swift X-Ray Telescope. KAUR A., FALCONE A.D., STROH M.D., et al.
2019A&A...632A..77C viz 16       D               1 2017 54 The 3HSP catalogue of extreme and high-synchrotron peaked blazars. CHANG Y.-L., ARSIOLI B., GIOMMI P., 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.
2020A&A...638A.128M 16       D               1 51 ~ The γ-ray sky seen at X-ray energies. II. The Swift hunt of Fermi BL Lac objects among unidentified γ-ray sources. MARCHESINI E.J., PAGGI A., MASSARO F., et al.
2020A&A...643A.103P viz 16       D               1 406 ~ Optical spectroscopic observations of low-energy counterparts of Fermi-LAT γ-ray sources. PENA-HERAZO H.A., AMAYA-ALMAZAN R.A., MASSARO F., 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.
2021MNRAS.505.5853G 17       D               2 5834 ~ Artificial Neural Network classification of 4FGL sources. GERMANI S., TOSTI G., LUBRANO P., 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...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.
2024MNRAS.530.2282D 1940 ~ Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. DUDA J. and BHATTA G.
2025PASP..137f4105D 19       D               1 290 ~ Improved Fermi Blazar Candidate Classifications with SRG/eROSITA X-Ray Counterparts Using Machine Learning. DING J. and RODRIGUEZ A.C.

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