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| 1RXS J005807.5-460420 , the SIMBAD biblio (14 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST16:04:10 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
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. | ||
|
2020ApJS..247...33A |
16 | D | 1 | 5175 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
| 2020MNRAS.497.2486C | 140 | D | X F | 3 | 16 | ~ | On the gamma-ray signals from UCMH/mini-spike accompanying the DAMPE 1.4 TeV e+e– excess. | CHENG J.-G., LI S., GAN Y.-Y., et al. | |
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2021ApJ...923...75K |
17 | D | 1 | 236 | 9 | Multiwavelength spectral analysis and neural network classification of counterparts to 4FGL unassociated sources. | KERBY S., KAUR A., FALCONE A.D., 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. | ||
|
2022ApJ...939..117Z |
17 | D | 3 | 282 | ~ | New Identifications and Multiwavelength Properties of Extragalactic Fermi Gamma-Ray Sources in the SPT-SZ Survey Field. | ZHANG L., VIEIRA J.D., AJELLO M., et al. | ||
|
2023ApJ...943..167K |
17 | D | 2 | 116 | 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 | 17 | D | 1 | 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 |
17 | D | 2 | 120 | ~ | Testing the Blazar Sequence with Spectra of Recently Discovered Dim Blazars from the Fermi Unassociated Catalog. | KERBY S. and FALCONE A.D. | ||
| 2024ApJ...971..180Y | 242 | D | S X | 5 | 76 | ~ | A Multiwavelength Machine-learning Approach to Classifying X-Ray Sources in the Fields of Unidentified 4FGL-DR4 Sources. | YANG H., HARE J. and KARGALTSEV O. | |
|
2025A&A...694A.176U |
19 | D | 2 | 328 | ~ | Search for the multi-wavelength counterparts to extragalactic unassociated Fermi γ-ray sources. | ULGIATI A., PAIANO S., PINTORE F., et al. | ||
| 2026ApJ...999..244N | 20 | D | 3 | 293 | ~ | Classification of a New X-Ray Catalog of Likely Counterparts to 4FGL-DR4 Unassociated Gamma-Ray Sources Using a Neural Network. | NEUMANN K.D., FALCONE A.D., DIKERBY S., et al. |