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| SDSS J075430.17+265455.0 , the SIMBAD biblio (13 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST07:36:19 |
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| 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 |
|---|---|---|---|---|---|---|---|---|---|
2011AJ....142..170H 
|
15 | D | 1 | 15886 | 568 | The Arecibo Legacy Fast ALFA survey: the α.40 H I source catalog, its characteristics and their impact on the derivation of the H I mass function. | HAYNES M.P., GIOVANELLI R., MARTIN A.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. | ||
|
2018ApJ...861...49H
|
16 | D | 1 | 31270 | 293 | The Arecibo Legacy Fast ALFA survey: the ALFALFA extragalactic H I source catalog. | HAYNES M.P., GIOVANELLI R., KENT B.R., 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. | ||
| 2019ApJ...883...82P | 162 | C F | 2 | 8 | ~ | Resolved and integrated stellar masses in the SDSS-IV/MaNGA survey. I. PCA spectral fitting and stellar mass-to-light ratio estimates. | PACE Z.J., TREMONTI C., CHEN Y., et al. | ||
|
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. | ||
|
2021ApJ...908..165P
|
17 | D | 1 | 631 | ~ | SDSS-IV/MaNGA: can impulsive gaseous inflows explain steep oxygen abundance profiles and anomalously low-metallicity regions? | PACE Z.J., TREMONTI C., SCHAEFER A.L., 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..261...21Y
|
17 | D | 1 | 29963 | 6 | Statistical Analysis of H I Profile Asymmetry and Shape for Nearby Galaxies. | YU N., HO L.C., WANG J., 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. |
