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| PMN J0623-3350 , the SIMBAD biblio (23 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST16:29:56 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2010A&A...511A..53V |
15 | D | 1 | 107473 | 39 | The SPECFIND V2.0 catalogue of radio cross-identifications and spectra. SPECFIND meets the Virtual Observatory. | VOLLMER B., GASSMANN B., DERRIERE S., 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. | ||
| 2015RAA....15.1784Z | 16 | D | 1 | 76 | 3 | Long-term optical-infrared color variability of blazars. | ZHANG B.-K., ZHOU X.-S., ZHAO X.-Y., et al. | ||
| 2013ATel.5668....1B | 115 | T | X | 2 | 2 | ~ |
Fermi LAT detection of a possible new extragalactic gamma-ray source, Fermi J0623-3351. |
BUSON S. | |
| 2013ATel.5684....1C | 192 | T | X | 4 | 1 | ~ | NIR detection of the Blazar PMN J0623-3350. | CARRASCO L., PORRAS A., ESCOBEDO G., et al. | |
|
2018MNRAS.476.2717H |
16 | D | 1 | 1285 | 1 | A novel approach for characterizing broad-band radio spectral energy distributions. | HARVEY V.M., FRANZEN T., MORGAN J., 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. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
| 2018ATel12317....1V | 201 | T | X | 4 | 1 | ~ |
Fermi LAT detection of a GeV flare from PMN J0623-3350 ( Fermi J0623-3351). |
VENTERS T. and CHEUNG C.C. | |
| 2019ATel12381....1C | 162 | T | X | 3 | 1 | ~ |
Large NIR Flare of the blazar PMNJ0623-3350. |
CARRASCO L., ESCOBEDO G., RECILLAS E., et al. | |
|
2021A&A...652A..76H |
17 | D | 1 | 851 | 49 | Gaia Early Data Release 3. Gaia photometric science alerts. | HODGKIN S.T., HARRISON D.L., BREEDT E., et al. | ||
| 2019ATel12518....1C | 162 | T | X | 3 | 1 | ~ | Further NIR brightening of the non thermal source PMN J0623-3350. | CARRASCO L., PORRAS A., ESCOBEDO G., 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 | 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. | |||||
| 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. | ||
| 2025ApJS..281...53G | 47 | X | 1 | 38 | ~ | 1FLAT: A Firmamento-based Catalog of Active Galactic Nuclei in Fermi-LAT High-Galactic-latitude γ-Ray Sources. | GIOMMI P., DORO M., GOUVEA M., et al. |