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| 2MASS J03123570-2221171 , the SIMBAD biblio (21 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST10:20:48 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2015ApJS..218...23A |
16 | D | 1 | 3140 | 1411 | Fermi Large Area Telescope third source catalog. | ACERO F., ACKERMANN M., AJELLO M., 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. | ||
|
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. | ||
|
2017A&A...602A..86L |
16 | D | 2 | 1082 | 1 | Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. | LEFAUCHEUR J. and PITA S. | ||
|
2017MNRAS.470.1291S |
16 | D | 1 | 563 | 2 | 3FGLzoo: classifying 3FGL unassociated Fermi-LAT γ-ray sources by artificial neural networks. | SALVETTI D., CHIARO G., LA MURA G., et al. | ||
|
2017ApJS..232...18A |
16 | D | 1584 | 263 | 3FHL: the Third Catalog of Hard Fermi-LAT Sources. | AJELLO M., ATWOOD W.B., BALDINI L., et al. | |||
|
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...619A..23C |
16 | D | 1 | 1351 | ~ | A MST catalogue of γ-ray source candidates above 10 GeV and at Galactic latitudes higher than 20°. | CAMPANA R., MASSARO E. and BERNIERI E. | ||
|
2019ApJS..242....4D |
16 | D | 1 | 9583 | 45 | Two new catalogs of blazar candidates in the WISE Infrared sky. | D'ABRUSCO R., ALVAREZ CRESPO N., MASSARO F., et al. | ||
| 2019ApJ...887..104C | 16 | D | 1 | 82 | ~ | Identifying TeV source candidates among Fermi-LAT unclassified blazars. | CHIARO G., MEYER M., DI MAURO M., 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. | ||
|
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. | ||
|
2020A&A...643A.103P |
16 | D | 1 | 406 | ~ | Optical spectroscopic observations of low-energy counterparts of Fermi-LAT γ-ray sources. | PENA-HERAZO H.A., AMAYA-ALMAZAN R.A., MASSARO F., 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. | ||
|
2022ApJS..259...55N |
17 | D | 1 | 305 | 7 | Predicting the Redshift of Gamma-Ray Loud AGNs Using Supervised Machine Learning. II. | NARENDRA A., GIBSON S.J., DAINOTTI M.G., 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..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. | ||
| 2024MNRAS.530.2282D | 1940 | ~ | Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. | DUDA J. and BHATTA G. |