Z 161-75 , the SIMBAD biblio

Z 161-75 , the SIMBAD biblio (33 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST04:04:28


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Title First 3 Authors
1987AnTok..21..251T viz 579 10 Kiso survey for ultraviolet-excess galaxies. VI. TAKASE B. and MIYAUCHI-ISOBE N.
1992AJ....104.1706C viz 422 9 Canada-France-Hawaii telescope blue grens quasar candidates. CRAMPTON D., COWLEY A.P., HARTWICK F.D.A., et al.
1995AJ....109.2368T viz 264 17 Redshifts for fainter galaxies in the First CfA Slice. III. To the Zwicky catalog limit. THORSTENSEN J.R., KURTZ M.J., GELLER M.J., et al.
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.
1996AJ....112.1780D 164 11 Peculiar velocities for galaxies in the Great Wall. II. Analysis. DELL'ANTONIO I.P., GELLER M.J. and BOTHUN G.D.
2000A&A...361..863G viz 1118 78 1.65 µm (H-band) surface photometry of galaxies. V. Profile decomposition of 1157 galaxies. GAVAZZI G., FRANZETTI P., SCODEGGIO M., et al.
2000A&AS..142...65G viz 560 25 1.65 µm (H-band) surface photometry of galaxies. III. Observations of 558 galaxies with the TIRGO 1.5 m telescope. GAVAZZI G., FRANZETTI P., SCODEGGIO M., 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.
2003AJ....126.2152R viz 15       D               15140 214 CAIRNS: the cluster and infall region nearby survey. I. Redshifts and mass profiles. RINES K., GELLER M.J., KURTZ M.J., et al.
2011AJ....142..170H viz 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.
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.
2015MNRAS.447.1531C viz 16       D               2 13578 26 Update on HI data collection from Green Bank, Parkes and Arecibo telescopes for the Cosmic Flows project. COURTOIS H.M. and TULLY R.B.
2015A&A...576A..16G viz 16       D               1 732 10 Hα3: an Hα imaging survey of HIselected galaxies from ALFALFA. V. The Coma supercluster survey completion. GAVAZZI G., CONSOLANDI G., VISCARDI E., et al.
2015ApJ...812...89M viz 16       D               1 12670 7 ECO and RESOLVE: galaxy disk growth in environmental context. MOFFETT A.J., KANNAPPAN S.J., BERLIND A.A., 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.
2018ApJ...861...49H viz 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.
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.
2019ApJ...882....9S viz 16       D               1 735 32 Characterizing the local relation between star formation rate and gas-phase metallicity in MaNGA spiral galaxies. SANCHEZ-MENGUIANO L., SANCHEZ ALMEIDA J., MUNOZ-TUNON C., et al.
2020MNRAS.494.2090J viz 16       D               3 5735 ~ The H I mass function of group galaxies in the ALFALFA survey. JONES M.G., HESS K.M., ADAMS E.A.K., et al.
2020MNRAS.495.4158F viz 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.
2020ApJ...902..145K viz 16       D               1 10723 45 Cosmicflows-4: the catalog of ∼10,000 Tully-Fisher distances. KOURKCHI E., TULLY R.B., EFTEKHARZADEH S., et al.
2020ApJ...903...52S viz 16       D               1 666 ~ Local and global gas metallicity versus stellar age relation in MaNGA galaxies. SANCHEZ-MENGUIANO L., SANCHEZ ALMEIDA J., MUNOZ-TUNON C., et al.
2021ApJ...908..165P viz 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.511.6160K viz 17       D               1 10144 10 Cosmicflows-4: the baryonic Tully-Fisher relation providing ∼10 000 distances. KOURKCHI E., TULLY R.B., COURTOIS H.M., et al.
2022MNRAS.513..389R viz 17       D               1 1816 8 Star-forming S0 Galaxies in SDSS-MaNGA: fading spirals or rejuvenated S0s? RATHORE H., KUMAR K., MISHRA P.K., et al.
2022ApJS..261...21Y viz 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 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.
2023A&A...674A..85A viz 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.
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.
2024ApJS..273....2Y 18       D               1 61 ~ CO Observations of Early-mid Stage Major Mergers in the MaNGA Survey. YU Q., FANG T., XU C.K., et al.
2024ApJ...970...83B 18       D               1 2480 ~ Structure and Kinematics of Star-forming Elliptical Galaxies in SDSS-MaNGA. BISWAS P. and WADADEKAR Y.
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.

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