1RXS J000320.4-524727 , the SIMBAD biblio

1RXS J000320.4-524727 , the SIMBAD biblio (36 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST21:05:56

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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
2000AN....321....1S viz 14       D               2100 219 The ROSAT Bright Survey: II. Catalogue of all high-galactic latitude RASS sources with PSPC countrate CR > 0.2/s. SCHWOPE A.D., HASINGER G., LEHMANN I., et al.
2009ApJS..184..138H viz 15       D               1 20623 68 XID II: statistical cross-association of ROSAT bright source catalog X-ray sources with 2MASS point source catalog near-infrared sources. HAAKONSEN C.B. and RUTLEDGE R.E.
2010MNRAS.401.1151M viz 15       D               2 3443 20 The RASS-6dFGS catalogue: a sample of X-ray selected AGN from the 6dF galaxy survey. MAHONY E.K., CROOM S.M., BOYLE B.J., et al.
2015ApJ...810...14A viz 16       D               3 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               5 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.
2016MNRAS.462.3180C viz 16       D               2 576 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.
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               1 1082 1 Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. LEFAUCHEUR J. and PITA S.
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..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.
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.
2019ApJ...872..189K 16       D               1 29 6 Evaluating the optical classification of Fermi BCUs using machine learning. KANG S.-J., FAN J.-H., MAO W., et al.
2018RAA....18...56K viz 16       D               3 1421 3 On the intrinsic shape of the gamma-ray spectrum for Fermi blazars. KANG S.-J., WU Q., ZHENG Y.-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.
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.
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.
2020ApJ...891...87K 16       D               1 120 ~ An empirical "high-confidence" candidate zone for Fermi BL Lacertae objects. KANG S.-J., ZHU K., FENG J., 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.
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...53A viz 17       D               1 6710 133 Incremental Fermi Large Area Telescope Fourth Source Catalog. ABDOLLAHI S., ACERO F., BALDINI L., et al.
2022ApJS..262...18Y viz 17       D               1 2709 8 The Spectral Energy Distributions for 4FGL Blazars. YANG J.H., FAN J.H., LIU Y., 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.
2022ApJ...939..117Z viz 17       D               3 282 ~ New Identifications and Multiwavelength Properties of Extragalactic Fermi Gamma-Ray Sources in the SPT-SZ Survey Field. ZHANG L., VIEIRA J.D., AJELLO M., 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.
2023ApJS..268...23F viz 17       D               1 2708 ~ Characterizing the Emission Region Properties of Blazars. FAN J., XIAO H., YANG W., et al.
2024MNRAS.527.4763D 18       D               2 353 ~ Constraints on redshifts of blazars from extragalactic background light attenuation using Fermi-LAT data. DOMINGUEZ A., LAINEZ M., PALIYA V.S., 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.
2024MNRAS.532.4785M 600       D S   X C F     11 14 ~ Optical spectroscopic classification of a selection of Southern Hemisphere 3FHL blazar candidates. MARAIS J.P. and VAN SOELEN B.
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.
2025A&A...700A.229L viz 19       D               1 126 ~ Exploring the most extreme gamma-ray blazars using broadband spectral energy distributions. LAINEZ M., NIEVAS-ROSILLO M., DOMINGUEZ A., et al.

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