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| ICRF J183000.8-444111 , the SIMBAD biblio (43 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST10:43:03 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1994ApJS...91..111W |
4374 | 324 | The Parkes-MIT-NRAO (PMN) Surveys: II. Source catalog for the Southern Survey (-87deg.5 < delta < -37deg). | WRIGHT A.E., GRIFFITH M.R., BURKE B.F., 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. | ||
|
2011ApJ...743..171A |
15 | D | 1 | 977 | 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 |
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 | 2 | 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. | ||
| 2012ApJ...755...22A | 39 | X | 1 | 18 | 45 | Fermi large area telescope study of cosmic rays and the interstellar medium in nearby molecular clouds. | ACKERMANN M., AJELLO M., ALLAFORT A., 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. | ||
|
2014ApJS..215...14D |
15 | D | 1 | 7877 | 110 | The WISE blazar-like radio-loud sources: an all-sky catalog of candidate γ-ray blazars. | D'ABRUSCO R., MASSARO F., 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 | 1 | 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. | ||
|
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. | ||
|
2016ApJS..226...20F |
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 |
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...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..235...39C |
16 | D | 1 | 1395 | 63 | On the jet properties of γ-ray-loud active galactic nuclei. | CHEN L. | ||
|
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. | ||
| 2018A&A...620A.174K | 16 | D | 1 | 169 | 4 | Fermi/LAT counterparts of IceCube neutrinos above 100 TeV. | KRAUSS F., DEOSKAR K., BAXTER C., 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. | ||
|
2018RAA....18...56K |
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. | ||
|
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. | ||
|
2019ApJS..242....4D |
16 | D | 2 | 9583 | 45 | Two new catalogs of blazar candidates in the WISE Infrared sky. | D'ABRUSCO R., ALVAREZ CRESPO N., MASSARO F., et al. | ||
|
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. | ||
|
2020MNRAS.494..923C |
16 | D | 1 | 3612 | ~ | WISE mid-infrared properties of compact active galactic nuclei selected from the high radio frequency AT20G survey. | CHHETRI R., KIMBALL A., EKERS R.D., et al. | ||
|
2020ApJS..248...23D |
16 | D | 1 | 283 | ~ | On the physical association of Fermi-LAT blazars with their low-energy counterparts. | DE MENEZES R., D'ABRUSCO R., MASSARO F., 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. | ||
|
2021A&A...655A..17S |
17 | D | 1 | 338578 | 3 | The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. | STEIN Y., VOLLMER B., BOCH T., 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. | ||
| 2023ATel15925....1D | 131 | T | X | 2 | 1 | ~ |
Fermi-LAT detection of enhanced gamma-ray activity from the blazar PMN J1830-4441. |
DINESH A., VALVERDE J. and GARRAPPA S. | |
|
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. |