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| ICRF J130349.2-554031 , the SIMBAD biblio (39 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST00:21:01 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2008MNRAS.384..775M |
15 | D | 1 | 324 | 95 | The Australia Telescope 20-GHz (AT20G) Survey: the Bright Source Sample. | MASSARDI M., EKERS R.D., MURPHY T., et al. | ||
|
2011MNRAS.414.2528P |
15 | D | 1 | 412 | 32 | The LBA calibrator survey of southern compact extragalactic radio sources – LCS1. | PETROV L., PHILLIPS C., BERTARINI A., et al. | ||
|
2011MNRAS.415.1597M |
15 | D | 1 | 183 | 30 | The Planck-ATCA Co-eval Observations project: the bright sample. | MASSARDI M., BONALDI A., BONAVERA L., et al. | ||
|
2011MNRAS.417.2651M |
15 | D | 1 | 5893 | 47 | Optical properties of high-frequency radio sources from the Australia Telescope 20 GHz (AT20G) Survey. | MAHONY E.K., SADLER E.M., CROOM S.M., et al. | ||
|
2012ApJS..199...31N |
15 | D | 1 | 2260 | 1282 | Fermi Large Area Telescope second source catalog. | NOLAN P.L., ABDO A.A., ACKERMANN M., et al. | ||
|
2012MNRAS.422.1527M |
15 | D | 1 | 6426 | 22 | ATPMN: accurate positions and flux densities at 5 and 8 GHz for 8385 sources from the PMN survey. | McCONNELL D., SADLER E.M., MURPHY T., et al. | ||
|
2012MNRAS.424.2832L |
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. | ||
|
2013MNRAS.428..220H |
15 | D | 1 | 473 | 19 | Gamma-ray active galactic nucleus type through machine-learning algorithms. | HASSAN T., MIRABAL N., CONTRERAS J.L., et al. | ||
|
2013ApJS..206...13M |
15 | D | 3 | 380 | 49 | Unveiling the nature of unidentified gamma-ray sources. II. Radio, infrared, and optical counterparts of the gamma-ray blazar candidates. | MASSARO F., D'ABRUSCO R., PAGGI A., et al. | ||
|
2015ApJS..217....2M |
16 | D | 2 | 2199 | 42 | Refining the associations of the Fermi large area telescope source catalogs. | MASSARO F., D'ABRUSCO R., LANDONI M., et al. | ||
|
2015ApJS..218...23A |
16 | D | 1 | 3140 | 1411 | Fermi Large Area Telescope third source catalog. | ACERO F., ACKERMANN M., AJELLO M., et al. | ||
|
2015ApJ...810...14A |
16 | D | 3 | 1890 | 513 | The third catalog of active galactic nuclei detected by the Fermi large area telescope. | ACKERMANN M., AJELLO M., ATWOOD W.B., et al. | ||
|
2016MNRAS.455.3249M |
16 | D | 3 | 465 | 11 | The Planck-ATCA Co-eval Observations project: analysis of radio source properties between 5 and 217 GHz. | MASSARDI M., BONALDI A., BONAVERA L., et al. | ||
|
2016ApJ...820....8S |
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. | ||
| 2016ApJ...822...36O | 16 | D | 1 | 81 | 88 | ALMACAL I: first dual-band number counts from a deep and wide ALMA submillimeter survey, free from cosmic variance. | OTEO I., ZWAAN M.A., IVISON R.J., et al. | ||
|
2016MNRAS.462.3180C |
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. | ||
| 2017ApJ...841..110S | X * | 1 | 15 | 4 | The coldest place in the Universe: probing the ultra-cold outflow and dusty disk in the Boomerang Nebula. | SAHAI R., VLEMMINGS W.H.T. and NYMAN L.-A. | |||
|
2017A&A...602A..86L |
16 | D | 1 | 1082 | 1 | Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. | LEFAUCHEUR J. and PITA S. | ||
|
2018ApJS..237...32A |
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...873..132M |
16 | D | 1 | 2125 | 2 | The precious set of radio-optical reference frame objects in the light of Gaia DR2 data. | MAKAROV V.V., BERGHEA C.T., FROUARD J., et al. | ||
|
2019MNRAS.485...88P |
16 | D | 1 | 1101 | 5 | The Second LBA Calibrator Survey of southern compact extragalactic radio sources - LCS2. | PETROV L., DE WITT A., SADLER E.M., et al. | ||
|
2019A&A...630A.101K |
16 | D | 2 | 3584 | ~ | Realization of a multifrequency celestial reference frame through a combination of normal equation systems. | KARBON M. and NOTHNAGEL A. | ||
|
2019MNRAS.490.4770K |
16 | 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 |
16 | D | 1 | 1314 | ~ | 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 |
16 | 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. | ||
|
2020ApJS..247...33A |
16 | D | 1 | 5175 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
|
2020ApJ...892..105A |
16 | D | 1 | 3421 | 235 | The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. | AJELLO M., ANGIONI R., AXELSSON M., et al. | ||
| 2020ApJ...898...18R | 16 | D | 3 | 55 | ~ | Hunting distant BL Lacertae objects with the photometric technique using Swift and SARA. | RAJAGOPAL M., KAUR A., AJELLO M., et al. | ||
|
2020A&A...644A.159C |
16 | D | 1 | 4536 | 184 | The third realization of the International Celestial Reference Frame by very long baseline interferometry. | CHARLOT P., JACOBS C.S., GORDON D., et al. | ||
|
2021MNRAS.505.4726K |
17 | D | 1 | 2157 | 29 | The relativistic jet dichotomy and the end of the blazar sequence. | KEENAN M., MEYER E.T., GEORGANOPOULOS 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. | ||
|
2022A&A...660A..87B |
17 | D | 2 | 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..262...18Y |
17 | D | 1 | 2709 | 8 | The Spectral Energy Distributions for 4FGL Blazars. | YANG J.H., FAN J.H., LIU Y., 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. | ||
|
2023ApJS..268...23F |
17 | D | 1 | 2708 | ~ | Characterizing the Emission Region Properties of Blazars. | FAN J., XIAO H., YANG W., 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. | |||||
|
2024ApJS..274...28C |
18 | D | 1 | 4336 | ~ | Metrics of Astrometric Variability in the International Celestial Reference Frame. I. Statistical Analysis and Selection of the Most Variable Sources. | CIGAN P., MAKAROV V.V., SECREST N.J., et al. | ||
| 2025PASP..137f4105D | 19 | D | 1 | 290 | ~ | Improved Fermi Blazar Candidate Classifications with SRG/eROSITA X-Ray Counterparts Using Machine Learning. | DING J. and RODRIGUEZ A.C. |