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| 1RXS J021206.0-255808 , the SIMBAD biblio (20 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST21:10:51 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2000ApJS..129..547B |
14 | D | 1 | 1633 | 94 | RBSC-NVSS sample. I. Radio and optical identifications of a complete sample of 1556 bright X-ray sources. | BAUER F.E., CONDON J.J., THUAN T.X., 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. | ||
|
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. | ||
|
2017A&A...598A.134A |
16 | D | 1 | 156 | 8 | Searching for γ-ray signature in WHSP blazars. Fermi-LAT detection of 150 excess signal in the 0.3-500 GeV band. | ARSIOLI B. and CHANG Y.-L. | ||
|
2018MNRAS.480.2165A |
16 | D | 1 | 154 | 6 | Extreme- and high-synchrotron-peaked blazars at the limit of Fermi-LAT detectability: the γ-ray spectrum of 1BIGB sources. | ARSIOLI B., BARRES DE ALMEIDA U., PRANDINI E., 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. | ||
|
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. | ||
|
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. | ||
| 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 |
17 | D | 1 | 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..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. | ||
| 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. | |||||
|
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. | ||
| 2025ApJS..281...53G | 187 | X C | 3 | 38 | ~ | 1FLAT: A Firmamento-based Catalog of Active Galactic Nuclei in Fermi-LAT High-Galactic-latitude γ-Ray Sources. | GIOMMI P., DORO M., GOUVEA M., et al. |