1RXS J152836.5+200423 , the SIMBAD biblio

1RXS J152836.5+200423 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST13:00:26


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Title First 3 Authors
2018A&A...619A..23C viz 16       D               1 1351 ~ A MST catalogue of γ-ray source candidates above 10 GeV and at Galactic latitudes higher than 20°. CAMPANA R., MASSARO E. and BERNIERI E.
2019A&A...632A..77C viz 16       D               1 2017 54 The 3HSP catalogue of extreme and high-synchrotron peaked blazars. CHANG Y.-L., ARSIOLI B., GIOMMI P., 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.
2020MNRAS.497.2486C 99       D         F     2 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.504.3338P 17       D               2 99 ~ The spectra of IceCube neutrino candidate sources - I. Optical spectroscopy of blazars. PAIANO S., FALOMO R., TREVES A., et al.
2021ApJ...914...42B viz 17       D               1 896 ~ Radio counterpart candidates to unassociated 4FGL-DR2 sources. BRUZEWSKI S., SCHINZEL F.K., TAYLOR G.B., 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.
2022MNRAS.510.2671P 145       D     X         4 69 12 The spectra of IceCube neutrino (SIN) candidate sources - II. Source characterization. PADOVANI P., GIOMMI P., FALOMO R., et al.
2022A&A...660A..87B viz 17       D               1 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.521.2270P 670       D S   X   F     14 62 ~ The spectra of IceCube Neutrino (SIN) candidate sources - III. Optical spectroscopy and source characterization of the full sample. PAIANO S., FALOMO R., TREVES A., et al.
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.
2023MNRAS.526..661K 322       D     X         8 55 ~ The spectra of IceCube Neutrino (SIN) candidate sources - IV. Spectral energy distributions and multiwavelength variability. KARL M., PADOVANI P. and GIOMMI P.
2024A&A...689A.147R 287       D     X C       6 54 ~ The Spectra of IceCube Neutrino (SIN) candidate sources V. Modeling and interpretation of multiwavelength and neutrino data. RODRIGUES X., KARL M., PADOVANI P., et al.
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.
2025ApJ...994..136K 252       D     X         6 37 ~ Impact of Multimessenger Spectral Modeling on Blazar-Neutrino Associations. KUHLMANN J. and CAPEL F.
2026A&A...706A.351R 470       D S   X C       8 6 ~ Hillas meets Eddington: The case for blazars as ultra-high-energy neutrino sources. RODRIGUES X., RIEGER F., BOHDAN A., 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.

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