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| 1RXS J224642.0-520638 , the SIMBAD biblio (55 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST22:26:54 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1999A&A...347...47B |
83 | 51 | Identification of soft high galactic latitude RASS X-ray sources. II. Sources with PSPC count rate CR <0.5cts/s. | BEUERMANN K., THOMAS H.-C., REINSCH K., et al. | |||||
|
2000AN....321....1S |
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 |
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 |
15 | D | 1 | 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. | ||
|
2011ApJ...743..171A |
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. | ||
|
2012ApJ...749...21A |
15 | D | 2 | 436 | 73 | The 60 month all-sky burst alert telescope survey of active galactic nucleus and the anisotropy of nearby AGNs. | AJELLO M., ALEXANDER D.M., GREINER J., et al. | ||
|
2012ApJS..199...31N |
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 |
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. | ||
|
2012A&A...548A..99W |
15 | D | 1 | 226 | 22 | The XMM-Newton slew survey in the 2-10 keV band. | WARWICK R.S., SAXTON R.D. and READ A.M. | ||
|
2013MNRAS.428..220H |
15 | D | 1 | 473 | 19 | Gamma-ray active galactic nucleus type through machine-learning algorithms. | HASSAN T., MIRABAL N., CONTRERAS J.L., et al. | ||
|
2013ApJS..209...34A |
15 | D | 1 | 553 | 210 | The first Fermi-LAT catalog of sources above 10 GeV. | ACKERMANN M., AJELLO M., ALLAFORT A., et al. | ||
|
2015ApJS..217....2M |
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 |
16 | D | 1 | 3140 | 1411 | Fermi Large Area Telescope third source catalog. | ACERO F., ACKERMANN M., AJELLO M., et al. | ||
|
2015ApJ...810...14A |
16 | D | 4 | 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. | ||
|
2016ApJS..222....5A |
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 |
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. | ||
|
2016ApJS..226...20F |
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 |
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. | ||
|
2017A&A...598A..17C |
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. | ||
|
2017ApJS..232...18A |
16 | D | 1584 | 263 | 3FHL: the Third Catalog of Hard Fermi-LAT Sources. | AJELLO M., ATWOOD W.B., BALDINI L., et al. | |||
|
2018ApJS..235....4O |
16 | D | 1 | 1636 | 246 | The 105-month Swift-BAT all-sky hard X-ray survey. | OH K., KOSS M., MARKWARDT C.B., et al. | ||
|
2018ApJS..235...39C |
16 | D | 1 | 1395 | 63 | On the jet properties of γ-ray-loud active galactic nuclei. | CHEN L. | ||
|
2018ApJS..237...32A |
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 |
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 |
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. | ||
| 2019MNRAS.486.1741F | 97 | D | F | 6 | 36 | 10 | A new hard X-ray-selected sample of extreme high-energy peaked BL Lac objects and their TeV gamma-ray properties. | FOFFANO L., PRANDINI E., FRANCESCHINI A., et al. | |
|
2019ApJ...881..154P |
16 | D | 1 | 181 | ~ | BAT AGN spectroscopic survey. XVI. General physical characteristics of BAT blazars. | PALIYA V.S., KOSS M., TRAKHTENBROT B., et al. | ||
|
2019A&A...632A..77C |
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 |
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 |
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 |
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 |
16 | D | 1 | 5175 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
|
2020ApJ...892..105A |
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. | ||
|
2021A&A...645A..18D |
17 | D | 1 | 1681 | ~ | Onboard catalogue of known X-ray sources for SVOM/ECLAIRs. | DAGONEAU N., SCHANNE S., RODRIGUEZ J., et al. | ||
|
2021ApJ...913..120Z |
17 | D | 1 | 1126 | ~ | Cosmological evolution of Fermi Large Area Telescope gamma-ray blazars using novel nonparametric methods. | ZENG H., PETROSIAN V. and YI T. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2021ApJ...916...28T |
17 | D | 2 | 273 | ~ | Cross-match between the latest Swift-BAT and Fermi-LAT catalogs. | TSUJI N., YONEDA H., INOUE Y., et al. | ||
| 2021AJ....162..177P | 17 | D | 6 | 64 | 5 | Optical spectroscopic observations of gamma-ray blazar Candidates. XI. Optical observations from SOAR, blanco, NTT and OAN-SPM. The story so far. | PENA-HERAZO H.A., PAGGI A., GARCIA-PEREZ A., et al. | ||
|
2021A&A...655A..17S |
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. | ||
| 2022MNRAS.512..137N | 443 | D | X F | 10 | 27 | 7 | Hunting extreme BL Lacertae blazars with Fermi-Large Area Telescope. | NIEVAS ROSILLO M., DOMINGUEZ A., CHIARO G., et al. | |
|
2022A&A...660A..87B |
17 | D | 2 | 6191 | 10 | Machine learning methods for constructing probabilistic Fermi-LAT catalogs. | BHAT A. and MALYSHEV D. | ||
|
2022ApJS..260...53A |
17 | D | 1 | 6710 | 133 | Incremental Fermi Large Area Telescope Fourth Source Catalog. | ABDOLLAHI S., ACERO F., BALDINI L., et al. | ||
|
2022ApJS..262...18Y |
17 | D | 1 | 2709 | 8 | The Spectral Energy Distributions for 4FGL Blazars. | YANG J.H., FAN J.H., LIU Y., et al. | ||
|
2022ApJ...940...77M |
17 | D | 1 | 119 | 4 | BASS. XXXIII. Swift-BAT Blazars and Their Jets through Cosmic Time. | MARCOTULLI L., AJELLO M., URRY C.M., et al. | ||
|
2022ApJS..263...24A |
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 |
17 | D | 4 | 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. | ||
| 2023ApJ...950..123Z | 17 | D | 1 | 121 | 1 | Exploring TeV Candidates of Fermi Blazars through Machine Learning. | ZHU J.T., LIN C., XIAO H.B., 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. | ||
|
2023A&A...675A..65S |
17 | D | 1 | 447 | ~ | A machine learning algorithm for reliably predicting active galactic nucleus absorbing column densities. | SILVER R., TORRES-ALBA N., ZHAO X., et al. | ||
|
2023ApJS..268...23F |
17 | D | 1 | 2708 | ~ | Characterizing the Emission Region Properties of Blazars. | FAN J., XIAO H., YANG W., et al. | ||
| 2024ApJ...967..104Z | 18 | D | 3 | 372 | ~ | The Energy Budget in the Jet of High-frequency Peaked BL Lacertae Objects. | ZHAO X.Z., YANG H.Y., ZHENG Y.G., et al. | ||
| 2025A&A...695A.261H | 19 | D | 2 | 51 | ~ | The H.E.S.S. extragalactic sky survey with the first decade of observations. | HESS COLLABORATION, AHARONIAN F., AIT BENKHALI F., et al. | ||
| 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.111P |
19 | D | 1 | 1181 | ~ | BASS XLIV. Morphological preferences of local hard X-ray selected AGNs. | PARRA TELLO M., BAUER F.E., DE CICCO D., et al. | ||
|
2025A&A...700A.229L |
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. |