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| 2FGL J0340.7-2421 , the SIMBAD biblio (30 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST18:44:41 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
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. | ||
|
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 | 2 | 283 | 32 | Australia telescope compact array observations of Fermi unassociated sources. | PETROV L., MAHONY E.K., EDWARDS P.G., et al. | ||
|
2013ApJS..209...10M |
15 | D | 1 | 63 | 24 | Unveiling the nature of the unidentified gamma-ray sources. V. Analysis of the radio candidates with the kernel density estimation. | MASSARO F., D'ABRUSCO R., PAGGI A., et al. | ||
| 2014ApJS..212....3N | 93 | D | S | 2 | 55 | 18 | Unveiling the nature of unidentified γ-ray sources. VI. γ-ray blazar candidates in the WISH survey and their radio properties. | NORI M., GIROLETTI M., MASSARO F., et al. | |
|
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 | 2 | 589 | 38 | New associations of gamma-ray sources from the Fermi second source catalog. | SCHINZEL F.K., PETROV L., TAYLOR G.B., 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. | ||
|
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. | ||
|
2017A&A...602A..86L |
16 | D | 2 | 1082 | 1 | Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. | LEFAUCHEUR J. and PITA S. | ||
|
2017MNRAS.470.1291S |
16 | D | 1 | 563 | 2 | 3FGLzoo: classifying 3FGL unassociated Fermi-LAT γ-ray sources by artificial neural networks. | SALVETTI D., CHIARO G., LA MURA G., 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. | ||
|
2019ApJ...887...18K |
16 | D | 1 | 250 | ~ | Classification of new X-ray counterparts for Fermi unassociated gamma-ray sources using the Swift X-Ray Telescope. | KAUR A., FALCONE A.D., STROH M.D., 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. | ||
| 2021ApJ...908..177K | 17 | D | 1 | 109 | ~ | Classifying blazar candidates from the 3FGL unassociated catalog into BL Lacertae objects and flat spectrum radio quasars Using Swift and WISE data. | KAUR A., FALCONE A.D. and STROH M.C. | ||
|
2021AJ....161..154K |
17 | D | 2 | 185 | ~ | X-ray spectra and multiwavelength machine learning classification for likely counterparts to Fermi 3FGL unassociated sources. | KERBY S., KAUR A., FALCONE A.D., 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 | 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. | ||
|
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 | 1 | 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..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. | ||
|
2024ApJS..271...20C |
18 | D | 1 | 960 | ~ | A Study of Broad Emission Line and Doppler Factor Estimation for Fermi Blazars. | CHEN G., ZHENG Z., ZENG X., et al. |