|
other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
| SDSS J105953.06+432207.8 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST01:50:51 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2010ApJS..186..427N |
15 | D | 1 | 14033 | 346 | A catalog of detailed visual morphological classifications for 14,034 galaxies in the Sloan Digital Sky Survey. | NAIR P.B. and ABRAHAM R.G. | ||
|
2017MNRAS.464.3882W |
16 | D | 1 | 1162 | 63 | Incidence of WISE-selected obscured AGNs in major mergers and interactions from the SDSS. | WESTON M.E., McINTOSH D.H., BRODWIN M., 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.477.4711G |
16 | D | 1 | 2755 | 110 | SDSS-IV MaNGA: stellar angular momentum of about 2300 galaxies: unveiling the bimodality of massive galaxy properties. | GRAHAM M.T., CAPPELLARI M., LI H., 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. | ||
|
2019MNRAS.487.5572M |
16 | D | 1 | 4573 | ~ | Connecting galaxy structure and star formation: the role of environment in formation of S0 galaxies. | MISHRA P.K., WADADEKAR Y. and BARWAY S. | ||
|
2020MNRAS.492.4680W |
16 | D | 1 | 2726 | 44 | Ionized gas outflow signatures in SDSS-IV MaNGA active galactic nuclei. | WYLEZALEK D., FLORES A.M., ZAKAMSKA N.L., et al. | ||
| 2020MNRAS.497.3323P | 16 | D | 1 | 30 | ~ | Determination of the relative inclination and the viewing angle of an interacting pair of galaxies using Convolutional Neural Networks. | PRAKASH P., BANERJEE A. and PEREPU P.K. | ||
|
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. | ||
|
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. |