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| 1FGL J1129.2-0528 , the SIMBAD biblio (28 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST22:02:51 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2010ApJS..188..405A |
15 | D | 1 | 1513 | 938 | Fermi Large Area Telescope First Source Catalog. | ABDO A.A., ACKERMANN M., AJELLO M., 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. | ||
|
2012ApJ...753...83A |
15 | D | 1 | 669 | 88 | A statistical approach to recognizing source classes for unassociated sources in the first Fermi-LAT catalog. | ACKERMANN M., AJELLO M., ALLAFORT A., 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. | ||
| 2012ApJ...760...51R | 16 | D | 1 | 11 | 30 | Characterizing the optical variability of bright blazars: variability-based selection of Fermi active galactic nuclei. | RUAN J.J., ANDERSON S.F., MacLEOD C.L., et al. | ||
|
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. | ||
|
2013MNRAS.432.1294P |
15 | D | 1 | 283 | 32 | Australia telescope compact array observations of Fermi unassociated sources. | PETROV L., MAHONY E.K., EDWARDS P.G., et al. | ||
|
2014ApJ...782...41D |
15 | D | 1 | 235 | 15 | Search for gamma-ray-emitting active galactic nuclei in the Fermi-LAT unassociated sample using machine learning. | DOERT M. and ERRANDO M. | ||
|
2015ApJS..217....2M |
16 | D | 1 | 2199 | 42 | Refining the associations of the Fermi large area telescope source catalogs. | MASSARO F., D'ABRUSCO R., LANDONI M., et al. | ||
|
2015ApJS..217....4S |
16 | D | 1 | 589 | 38 | New associations of gamma-ray sources from the Fermi second source catalog. | SCHINZEL F.K., PETROV L., TAYLOR G.B., 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. | ||
|
2020A&A...643A.103P |
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. | ||
|
2021ApJS..253...46P |
17 | D | 1 | 1078 | 38 | The central engines of Fermi blazars. | PALIYA V.S., DOMINGUEZ A., AJELLO 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. | ||
|
2022ApJ...925...40X |
17 | D | 1 | 668 | 12 | The Relativistic Jet and Central Engine of Fermi Blazars. | XIAO H., OUYANG Z., ZHANG L., 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. | ||
|
2022PASP..134h4102H |
17 | D | 1 | 620 | ~ | Constraining the γ-Ray Emission Region for Fermi-detected FSRQs by the Seed Photon Approach. | HUANG D., LI Z., LIAO J., et al. | ||
|
2022ApJ...936..146X |
17 | D | 2 | 661 | 2 | An Extensive Study of Blazar Broad Emission Line: Changing-look Blazars and the Baldwin Effect. | XIAO H., FAN J., OUYANG Z., 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. | ||
|
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. | ||
| 2022MNRAS.516.5702O | 187 | D | X | 5 | 28 | 2 | Optical spectroscopic characterization of Fermi blazar candidates of uncertain type with TNG and DOT: first results. | OLMO-GARCIA A., PALIYA V.S., ALVAREZ CRESPO N., et al. | |
|
2023ApJS..268...23F |
17 | D | 1 | 2708 | ~ | Characterizing the Emission Region Properties of Blazars. | FAN J., XIAO H., YANG W., 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. |