1RXS J161443.4-085130 , the SIMBAD biblio

1RXS J161443.4-085130 , the SIMBAD biblio (8 results)

C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST00:42:35

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Bibcode/DOI	Score	in a table	Nb occurence	Nb objects in ref	Citations (from ADS)	Title	First 3 Authors
`2017A&A...598A..17C`	`16`	`D`	`1`	`1692`	`30`	2WHSP: A multi-frequency selected catalogue of high energy and very high energy γ-ray blazars and blazar candidates.	CHANG Y.-L., ARSIOLI B., GIOMMI P., et al.
`2019A&A...632A..77C`	`16`	`D`	`1`	`2017`	`54`	The 3HSP catalogue of extreme and high-synchrotron peaked blazars.	CHANG Y.-L., ARSIOLI B., GIOMMI P., et al.
`2021MNRAS.505.5853G`	`17`	`D`	`1`	`5834`	`~`	Artificial Neural Network classification of 4FGL sources.	GERMANI S., TOSTI G., LUBRANO P., 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.
`2022ApJS..263...24A`	`17`	`D`	`1`	`3828`	`15`	The Fourth Catalog of Active Galactic Nuclei Detected by the Fermi Large Area Telescope: Data Release 3.	AJELLO M., BALDINI L., BALLET J., et al.
`2023MNRAS.523.4120D`	`17`	`D`	`1`	`420`	`~`	Hybrid deep learning for blazar classification and correlation search with neutrinos.	DING J., HUANG Y., LI X.-D., et al.
`2024MNRAS.530.2282D`				`1940`	`~`	Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction.	DUDA J. and BHATTA G.