|
other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
| LEDA 1599606 , the SIMBAD biblio (12 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST22:55:47 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2003A&A...412...45P |
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2014ApJ...788...45T |
15 | D | 1 | 224166 | 54 | Luminosity and redshift dependence of the covering factor of active galactic nuclei viewed with WISE and Sloan Digital Sky Survey. | TOBA Y., OYABU S., MATSUHARA H., et al. | ||
|
2017AJ....154...86W |
16 | D | 2 | 4614 | 272 | The SDSS-IV MaNGA sample: design, optimization, and usage considerations. | WAKE D.A., BUNDY K., DIAMOND-STANIC A.M., et al. | ||
|
2018MNRAS.473.4731K |
16 | D | 1 | 3462 | 68 | Galaxy Zoo: secular evolution of barred galaxies from structural decomposition of multiband images. | KRUK S.J., LINTOTT C.J., BAMFORD S.P., et al. | ||
|
2018ApJ...868...99F |
16 | D | 1 | 19564 | 4 | Identifying tidal disruption events via prior photometric selection of their preferred hosts. | FRENCH K.D. and ZABLUDOFF A.I. | ||
| 2019MNRAS.483..172D | 16 | D | 1 | 48 | 6 | SDSS-IV MaNGA: signatures of halo assembly in kinematically misaligned galaxies. | DUCKWORTH C., TOJEIRO R., KRALJIC K., et al. | ||
|
2019MNRAS.483.2057F |
16 | D | 1 | 4600 | 64 | SDSS-IV MaNGA PyMorph Photometric and Deep Learning Morphological Catalogues and implications for bulge properties and stellar angular momentum. | FISCHER J.-L., DOMINGUEZ SANCHEZ H. and BERNARDI M. | ||
|
2020MNRAS.495.4158F |
16 | D | 1 | 682 | 26 | SDSS-IV MaNGA: spatially resolved star formation in barred galaxies. | FRASER-MCKELVIE A., ARAGON-SALAMANCA A., MERRIFIELD M., et al. | ||
|
2022MNRAS.509.3966W |
17 | D | 1 | 89291 | 61 | Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. | WALMSLEY M., LINTOTT C., GERON T., et al. | ||
|
2022ApJS..262...36S |
17 | D | 1 | 10075 | 23 | SDSS-IV MaNGA: pyPipe3D Analysis Release for 10,000 Galaxies. | SANCHEZ S.F., BARRERA-BALLESTEROS J.K., LACERDA E., et al. | ||
|
2023A&A...674A..85A |
17 | D | 1 | 6495 | 2 | Classifying the full SDSS-IV MaNGA Survey using optical diagnostic diagrams: Presentation of AGN catalogs in flexible apertures. | ALBAN M. and WYLEZALEK D. | ||
|
2024NatAs...8.1310A |
18 | D | 1 | 10075 | ~ | Constraints on the in situ and ex situ stellar masses in nearby galaxies obtained with artificial intelligence. | ANGELOUDI E., FALCON-BARROSO J., HUERTAS-COMPANY M., et al. |