2FGL J0953.9-7659 , the SIMBAD biblio

2FGL J0953.9-7659 , the SIMBAD biblio (32 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST09:28:31


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
1995A&AS..114..109A viz 180 159 A study of the Chamaeleon star forming region from the ROSAT all-sky survey. I. X-ray observations and optical identifications. ALCALA J.M., KRAUTTER J., SCHMITT J.H.M.M., et al.
2009ApJS..184..138H viz 15       D               1 20666 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.
2011ApJ...743..171A viz 15       D               1 979 589 The second catalog of active galactic nuclei detected by the Fermi large area telescope. ACKERMANN M., AJELLO M., ALLAFORT A., et al.
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.
2012MNRAS.424.2832L viz 15       D               1 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.
2012A&A...548A..99W viz 15       D               1 226 22 The XMM-Newton slew survey in the 2-10 keV band. WARWICK R.S., SAXTON R.D. and READ A.M.
2013MNRAS.428..220H viz 16       D               1 473 19 Gamma-ray active galactic nucleus type through machine-learning algorithms. HASSAN T., MIRABAL N., CONTRERAS J.L., et al.
2015ApJS..217....2M viz 16       D               2 2201 42 Refining the associations of the Fermi large area telescope source catalogs. MASSARO F., D'ABRUSCO R., LANDONI M., et al.
2015ApJS..218...23A viz 16       D               1 3139 1411 Fermi Large Area Telescope third source catalog. ACERO F., ACKERMANN M., AJELLO M., et al.
2015ApJ...810...14A viz 16       D               1 1898 513 The third catalog of active galactic nuclei detected by the Fermi large area telescope. ACKERMANN M., AJELLO M., ATWOOD W.B., et al.
2016ApJ...820....8S viz 16       D               1 3046 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.
2016ApJS..226...20F viz 16       D               1 1394 122 The spectral energy distributions of Fermi blazars. FAN J.H., YANG J.H., LIU Y., et al.
2016MNRAS.462.3180C viz 16       D               1 576 21 Blazar flaring patterns (B-FlaP) classifying blazar candidate of uncertain type in the third Fermi-LAT catalogue by artificial neural networks. CHIARO G., SALVETTI D., LA MURA G., et al.
2017A&A...598A..17C viz 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.
2017ApJS..232...18A viz 16       D               1587 263 3FHL: the Third Catalog of Hard Fermi-LAT Sources. AJELLO M., ATWOOD W.B., BALDINI L., et al.
2018ApJS..235...39C viz 16       D               1 1396 63 On the jet properties of γ-ray-loud active galactic nuclei. CHEN L.
2018RAA....18...56K viz 16       D               1 1421 3 On the intrinsic shape of the gamma-ray spectrum for Fermi blazars. KANG S.-J., WU Q., ZHENG Y.-G., et al.
2019ApJS..242....4D viz 17       D               1 9560 45 Two new catalogs of blazar candidates in the WISE Infrared sky. D'ABRUSCO R., ALVAREZ CRESPO N., MASSARO F., et al.
2019A&A...632A..77C viz 17       D               1 2018 54 The 3HSP catalogue of extreme and high-synchrotron peaked blazars. CHANG Y.-L., ARSIOLI B., GIOMMI P., et al.
2019MNRAS.490.4770K viz 17       D               1 567 ~ Optimizing neural network techniques in classifying Fermi-LAT gamma-ray sources. KOVACEVIC M., CHIARO G., CUTINI S., et al.
2019ApJ...887..134K viz 17       D               1 1313 ~ Evaluating the classification of Fermi BCUs from the 4FGL catalog using machine learning. KANG S.-J., LI E., OU W., et al.
2020MNRAS.493.1926K viz 17       D               1 1330 ~ Classification of blazar candidates of uncertain type from the Fermi LAT 8-yr source catalogue with an artificial neural network. KOVACEVIC M., CHIARO G., CUTINI S., et al.
2020ApJ...891...87K 17       D               1 120 ~ An empirical "high-confidence" candidate zone for Fermi BL Lacertae objects. KANG S.-J., ZHU K., FENG J., et al.
2020ApJS..247...33A viz 17       D               1 5180 880 Fermi Large Area Telescope fourth source catalog. ABDOLLAHI S., ACERO F., ACKERMANN M., et al.
2020ApJ...892..105A viz 17       D               1 3424 235 The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. AJELLO M., ANGIONI R., AXELSSON M., et al.
2021MNRAS.505.5853G 17       D               2 5840 ~ Artificial Neural Network classification of 4FGL sources. GERMANI S., TOSTI G., LUBRANO P., et al.
2021ApJS..254...26R viz 148       D     X         4 30 ~ Identifying the 3FHL Catalog. V. Results of the CTIO-COSMOS optical spectroscopy campaign 2019. RAJAGOPAL M., MARCHESI S., KAUR A., et al.
2021AJ....162..177P 17       D               6 64 5 Optical spectroscopic observations of gamma-ray blazar Candidates. XI. Optical observations from SOAR, blanco, NTT and OAN-SPM. The story so far. PENA-HERAZO H.A., PAGGI A., GARCIA-PEREZ A., et al.
2022MNRAS.512..137N 600       D     X   F     13 27 7 Hunting extreme BL Lacertae blazars with Fermi-Large Area Telescope. NIEVAS ROSILLO M., DOMINGUEZ A., CHIARO G., et al.
2022ApJS..260...53A viz 18       D               1 6714 133 Incremental Fermi Large Area Telescope Fourth Source Catalog. ABDOLLAHI S., ACERO F., BALDINI L., et al.
2022ApJS..263...24A viz 18       D               1 3830 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 19       D               1 421 ~ Hybrid deep learning for blazar classification and correlation search with neutrinos. DING J., HUANG Y., LI X.-D., et al.

goto View the references in ADS