Z 207-9 , the SIMBAD biblio

Z 207-9 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST15:31:22

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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
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.
2006A&A...445..765K viz 3173 67 A catalog of edge-on disk galaxies. From galaxies with a bulge to superthin galaxies. KAUTSCH S.J., GREBEL E.K., BARAZZA F.D., et al.
2012ApJS..199...26H viz 15       D               1 48926 517 The 2MASS Redshift Survey - Description and data release. HUCHRA J.P., MACRI L.M., MASTERS K.L., et al.
2015AJ....149..171T viz 16       D               1 49219 119 Galaxy groups: a 2MASS catalog. TULLY R.B.
2016A&A...588A..14T viz 16       D               2 84079 35 Friends-of-friends galaxy group finder with membership refinement. TEMPEL E., KIPPER R., TAMM 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...856...93F viz 16       D               1 107 14 SDSS-IV MaNGA: galaxy pair fraction and correlated active galactic nuclei. FU H., STEFFEN J.L., GROSS A.C., et al.
2018MNRAS.477.4711G viz 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.
2018A&A...618A..81T viz 16       D               1 50420 14 Bayesian group finder based on marked point processes. Method and feasibility study using the 2MRS data set. TEMPEL E., KRUUSE M., KIPPER 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.492.4680W viz 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.
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...909..120S viz 17       D               2 317 ~ SDSS-IV MaNGA: the radial profile of enhanced star formation in close galaxy pairs. STEFFEN J.L., FU H., COMERFORD J.M., et al.
2021ApJ...914..121A viz 17       D               1 43541 20 The NANOGrav 11 yr data set: limits on supermassive black hole binaries in galaxies within 500 Mpc. ARZOUMANIAN Z., BAKER P.T., BRAZIER A., et al.
2022ApJ...935..170A viz 17       D               1 44067 26 Arrival Directions of Cosmic Rays above 32 EeV from Phase One of the Pierre Auger Observatory. ABREU P., AGLIETTA M., ALBURY J.M., 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.
2023ApJ...954..115K 627       D     X C       14 18 ~ The Baryonic Content of Galaxies Mapped by MaNGA and the Gas Around Them. KLIMENKO V.V., KULKARNI V., WAKE D.A., et al.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY 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.

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