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| 2MASS J05252803-2010482 , the SIMBAD biblio (30 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST01:58:09 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1994ApJS...90..179G |
3374 | 208 | The Parkes-MIT-NRAO (PMN) surveys. III. Source catalog for the tropical survey (-29deg < Delta < -9.5deg). | GRIFFITH M.R., WRIGHT A.E., BURKE B.F., et al. | |||||
|
1998BSAO...46...28M |
253 | 2 | Simultaneous spectra of complete sample of sources from the PMN survey. | MINGALIEV M.G., BOTASHEV A.M. and STOLYAROV V.A. | |||||
|
2011MNRAS.417.2651M |
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. | ||
|
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 | 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 |
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...588A.141G |
16 | D | 1 | 213 | 21 | High-energy sources at low radio frequency: the Murchison Widefield Array view of Fermi blazars. | GIROLETTI M., MASSARO F., D'ABRUSCO R., 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...602A..86L |
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. | ||
|
2018MNRAS.476.2717H |
16 | D | 1 | 1285 | 1 | A novel approach for characterizing broad-band radio spectral energy distributions. | HARVEY V.M., FRANZEN T., MORGAN J., et al. | ||
|
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. | ||
|
2018RAA....18...56K |
16 | D | 1 | 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.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. | ||
| 2021MNRAS.504.3338P | 560 | D | X C F | 12 | 99 | ~ | The spectra of IceCube neutrino candidate sources - I. Optical spectroscopy of blazars. | PAIANO S., FALOMO R., TREVES A., et al. | |
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
| 2021AJ....162..177P | 17 | D | 4 | 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. | ||
| 2022MNRAS.510.2671P | 187 | D | X | 5 | 69 | 12 | The spectra of IceCube neutrino (SIN) candidate sources - II. Source characterization. | PADOVANI P., GIOMMI P., FALOMO R., 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..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.521.2270P | 17 | D | 1 | 62 | ~ | The spectra of IceCube Neutrino (SIN) candidate sources - III. Optical spectroscopy and source characterization of the full sample. | PAIANO S., FALOMO R., TREVES A., et al. | ||
| 2023MNRAS.526..661K | 17 | D | 2 | 55 | ~ | The spectra of IceCube Neutrino (SIN) candidate sources - IV. Spectral energy distributions and multiwavelength variability. | KARL M., PADOVANI P. and GIOMMI P. | ||
| 2024ApJS..275...11Z | 18 | D | 1 | 235 | ~ | Chasing the Neutrino Blazar Candidates. | ZHU J., CAO H., XIAO H., et al. | ||
| 2024ApJ...976..120P | 18 | D | 1 | 186 | ~ | Radio Morphology of Gamma-Ray Sources: Double-lobed Radio Sources. | PALIYA V.S., SAIKIA D.J., DOMINGUEZ A., 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. | ||
| 2025ApJ...989...36P | 112 | D | X | 3 | 26 | ~ | Radio Morphology of Gamma-Ray Sources. II. Giant Radio Galaxies. | PALIYA V.S., SAIKIA D.J., BRUNI G., et al. |