Z 148-85 , the SIMBAD biblio

Z 148-85 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST18:52:34


Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
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
1996A&AS..117..467G viz 22339 19 An image database. II. Catalogue between δ=-0deg and δ=70deg. GARNIER R., PATUREL G., PETIT C., et al.
2003A&A...412...45P viz 15       D               1 956189 750 HYPERLEDA. I. Identification and designation of galaxies. PATUREL G., PETIT C., PRUGNIEL P., et al.
2008A&A...487...33B viz 15       D               324 12 Optical analysis of the poor clusters Abell 610, Abell 725, and Abell 796, containing diffuse radio sources. BOSCHIN W., BARRENA R., GIRARDI M., et al.
2010ApJS..186..427N viz 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.
2011ApJ...737..101L viz 15       D               1 2621 118 Active galactic nucleus pairs from the Sloan Digital Sky Survey. I. The frequency on ∼5-100 kpc scales. LIU X., SHEN Y., STRAUSS M.A., et al.
2014ApJ...788...45T viz 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 viz 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.
2017MNRAS.471.2687B viz 16       D               1 7831 45 On the interdependence of galaxy morphology, star formation and environment in massive galaxies in the nearby Universe. BAIT O., BARWAY S. and WADADEKAR Y.
2018ApJ...868...99F viz 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.483.2057F viz 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 viz 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.
2019MNRAS.489.5709C 16       D               1 69 32 Post-starburst galaxies in SDSS-IV MaNGA. CHEN Y.-M., SHI Y., WILD V., et al.
2022MNRAS.509.3966W viz 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 viz 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.
2022ApJ...941...93O 17       D               4 16 2 Resolved Molecular Gas Observations of MaNGA Post-starbursts Reveal a Tumultuous Past. OTTER J.A., ROWLANDS K., ALATALO K., et al.
2023ApJS..268...63M viz 17       D               1 562 ~ The New Swift/UVOT+MaNGA (SwiM) Value-added Catalog. MOLINA M., DUFFY L., ERACLEOUS M., et al.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY A., et al.
2024MNRAS.527.7438R viz 18       D               1 4215 ~ The Tully-Fisher relation from SDSS-MaNGA: physical causes of scatter and variation at different radii. RISTEA A., CORTESE L., FRASER-MCKELVIE A., et al.
2024NatAs...8.1310A viz 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.
2026ApJ...999..263L 20       D               2 72 ~ The ALMaQUEST Survey. XVII. Unveiling Multiple Quenching Pathways in Green Valley Galaxies via Molecular Gas and Quenching Timescale Analyses. LIN L., WU P.-F., THORP M.D., et al.

goto View the references in ADS