Z 149-20 , the SIMBAD biblio

Z 149-20 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST06:10:15

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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
1986AnTok..21..127T viz 753 9 Kiso survey for ultraviolet-excess galaxies. IV. TAKASE B. and MIYAUCHI-ISOBE N.
1990IRASF.C......0M viz 14       D               1 26192 130 IRAS Faint Source Catalogue, version 2.0. MOSHIR M., 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.
1999PASP..111..438F viz 14       D               1 19407 418 The updated Zwicky catalog (UZC). FALCO E.E., KURTZ M.J., GELLER M.J., 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.
2008ApJS..175...86P viz 15       D               1179 8 The North Galactic Pole +30° zone galaxies. I. A comparative study of galaxies with different nuclear activity. PETROSIAN A., McLEAN B., ALLEN R., et al.
2009MNRAS.398..109W viz 15       D               1 22041 37 The imperial IRAS-FSC redshift catalogue. WANG L. and ROWAN-ROBINSON M.
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.
2017ApJ...837..120G viz 16       D               1 14404 66 LOSS revisited. I. Unraveling correlations between supernova rates and galaxy properties, as measured in a reanalysis of the Lick Observatory Supernova Search. GRAUR O., BIANCO F.B., HUANG S., 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.
2020ApJ...894...57S viz 16       D               1 388 ~ Environmental influences on star formation in low-mass galaxies observed by the SDSS-IV/MaNGA Survey. SUN J., BARGER K.A., FRINCHABOY P.M., 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.
2022MNRAS.512.2222V 170             C F     2 30 11 SDSS IV MaNGA: visual morphological and statistical characterization of the DR15 sample. VAZQUEZ-MATA J.A., HERNANDEZ-TOLEDO H.M., AVILA-REESE V., 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.
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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