3FGL J0704.3-4828 , the SIMBAD biblio

3FGL J0704.3-4828 , the SIMBAD biblio (19 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST00:10:00

Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
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
2015ApJS..218...23A viz 16       D               1 3140 1411 Fermi Large Area Telescope third source catalog. ACERO F., ACKERMANN M., AJELLO M., et al.
2016ApJ...820....8S viz 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 viz 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 viz 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 viz 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 viz 16       D               2 250 ~ 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.
2020ApJS..247...33A viz 16       D               1 5175 880 Fermi Large Area Telescope fourth source catalog. ABDOLLAHI S., ACERO F., ACKERMANN M., et al.
2020A&A...638A.128M 16       D               1 51 ~ The γ-ray sky seen at X-ray energies. II. The Swift hunt of Fermi BL Lac objects among unidentified γ-ray sources. MARCHESINI E.J., PAGGI A., MASSARO F., et al.
2020A&A...643A.103P viz 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.
2021AJ....161..154K viz 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.
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 viz 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 viz 17       D               2 6191 10 Machine learning methods for constructing probabilistic Fermi-LAT catalogs. BHAT A. and MALYSHEV D.
2022ApJS..260...53A viz 17       D               1 6710 133 Incremental Fermi Large Area Telescope Fourth Source Catalog. ABDOLLAHI S., ACERO F., BALDINI L., et al.
2023ApJ...943..167K viz 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 viz 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.
2025A&A...694A.176U viz 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               4 293 ~ 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.

goto View the references in ADS