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4FGL J0209.8+2626 , the SIMBAD biblio (8 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.23CEST15:14:30 |
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 |
---|---|---|---|---|---|---|---|---|---|
2019A&A...632A..77C | 17 | D | 1 | 2018 | 54 | The 3HSP catalogue of extreme and high-synchrotron peaked blazars. | CHANG Y.-L., ARSIOLI B., GIOMMI P., et al. | ||
2020ApJS..247...33A | 17 | D | 1 | 5180 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
2021MNRAS.505.5853G | 17 | D | 2 | 5840 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
2021ApJ...923...75K | 17 | D | 1 | 197 | 9 | Multiwavelength spectral analysis and neural network classification of counterparts to 4FGL unassociated sources. | KERBY S., KAUR A., FALCONE A.D., et al. | ||
2022ApJS..260...53A | 18 | D | 1 | 6714 | 133 | Incremental Fermi Large Area Telescope Fourth Source Catalog. | ABDOLLAHI S., ACERO F., BALDINI L., et al. | ||
2023ApJ...943..167K | 19 | D | 2 | 115 | 4 | Using Neural Networks to Differentiate Newly Discovered BL Lacertae Objects and FSRQs among the 4FGL Unassociated Sources Employing Gamma-Ray, X-Ray, UV/Optical, and IR Data. | KAUR A., KERBY S. and FALCONE A.D. | ||
2023MNRAS.523.5341T | 19 | D | 2 | 104 | ~ | Classification of the Fermi-LAT blazar candidates of uncertain type using extreme gradient boosting. | TOLAMATTI A., SINGH K.K. and YADAV K.K. | ||
2023ApJ...951..133K | 19 | D | 2 | 98 | ~ | Testing the Blazar Sequence with Spectra of Recently Discovered Dim Blazars from the Fermi Unassociated Catalog. | KERBY S. and FALCONE A.D. |