1FGL J1846.8-0233c , the SIMBAD biblio

1FGL J1846.8-0233c , the SIMBAD biblio (18 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST06:59:13


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Title First 3 Authors
2010ApJS..188..405A viz 15       D               1 1513 938 Fermi Large Area Telescope First Source Catalog. ABDO A.A., ACKERMANN M., AJELLO M., et al.
2011A&A...530A..72M viz 15       D     X         1 158 11 A study of the association of Fermi sources with massive young galactic objects. MUNAR-ADROVER P., PAREDES J.M. and ROMERO G.E.
2012ApJS..199...31N viz 15       D               1 2260 1282 Fermi Large Area Telescope second source catalog. NOLAN P.L., ABDO A.A., ACKERMANN M., et al.
2012ApJ...753...83A viz 15       D               1 669 88 A statistical approach to recognizing source classes for unassociated sources in the first Fermi-LAT catalog. ACKERMANN M., AJELLO M., ALLAFORT A., et al.
2012MNRAS.424.2832L viz 15       D               2 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.429.1633B 15       D               2 26 28 Pulsar searches of Fermi unassociated sources with the Effelsberg telescope. BARR E.D., GUILLEMOT L., CHAMPION D.J., et al.
2015ApJS..217....2M viz 55       D     X         2 2199 42 Refining the associations of the Fermi large area telescope source catalogs. MASSARO F., D'ABRUSCO R., LANDONI M., 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.
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               2 236 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               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.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.
2023ApJ...952..158Z 87               F     2 14 ~ 4FGL J1844.4-0306: High-energy Emission Likely from the Supernova Remnant G29.37 + 0.1. ZHENG D., WANG Z., ZHANG X., et al.
2024MNRAS.532.4446O 1281 T   A S   X C F     25 18 ~ A comprehensive analysis towards the Fermi-LAT source
4FGL J1846.9-0227: jets of a protoplanetary nebula producing γ-rays?
ORTEGA M.E., PETRIELLA A. and PARON S.
2025A&A...695A..11M 47           X         1 25 ~ Exploring the capability of the HH 80-81 protostellar jet to accelerate relativistic particles. MENDEZ-GALLEGO J., LOPEZ-COTO R., DE ONA WILHELMI E., et al.

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