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| Z 131-16 , the SIMBAD biblio (32 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST01:55:05 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1978AJ.....83.1549K |
721 | 160 | A study of field galaxy. I. Redshifts and photometry of a complete sample of galaxies. | KIRSHNER R.P., OEMLER A.Jr and SCHECHTER P.L. | |||||
|
1983AJ.....88.1285K |
532 | 169 | A deep survey of galaxies. | KIRSHNER R.P., OEMLER A.Jr, SCHECHTER P.L., et al. | |||||
|
1988AJ.....95.1629M |
376 | 11 | (OIII) emission in two magnitude-limited field-galaxy surveys. | MOODY J.W. and KIRSHNER R.P. | |||||
|
1996A&AS..117..467G |
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 |
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2003AJ....126.2152R |
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. | |||
|
2011MNRAS.416.2840L |
15 | D | 1 | 72558 | 178 | The 2M++ galaxy redshift catalogue. | LAVAUX G. and HUDSON M.J. | ||
|
2012ApJS..199...26H |
15 | D | 1 | 48926 | 517 | The 2MASS Redshift Survey - Description and data release. | HUCHRA J.P., MACRI L.M., MASTERS K.L., et al. | ||
|
2014ApJ...788...45T |
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. | ||
|
2015AJ....149..171T |
16 | D | 1 | 49219 | 119 | Galaxy groups: a 2MASS catalog. | TULLY R.B. | ||
|
2015A&A...576A..16G |
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. | ||
|
2016A&A...588A..14T |
16 | D | 2 | 84079 | 35 | Friends-of-friends galaxy group finder with membership refinement. | TEMPEL E., KIPPER R., TAMM A., et al. | ||
|
2017ApJ...837..120G |
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 |
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. | ||
|
2018MNRAS.476.1765L |
16 | D | 1 | 2080 | 86 | SDSS-IV MaNGA: global stellar population and gradients for about 2000 early-type and spiral galaxies on the mass-size plane. | LI H., MAO S., CAPPELLARI M., 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. | ||
|
2018A&A...618A..81T |
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. | ||
|
2018MNRAS.481.5580F |
16 | D | 1 | 280 | 51 | SDSS-IV MaNGA: the formation sequence of S0 galaxies. | FRASER-MCKELVIE A., ARAGON-SALAMANCA A., MERRIFIELD M., 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. | ||
|
2019ApJS..244....3D |
16 | D | 1 | 23803 | ~ | Circumventing the effects of projection and dust using inclination-independent infrared galaxy structure measurements: method, error analysis, and a new public catalog of near-infrared galaxy structures. | DEVOUR B.M. and BELL E.F. | ||
|
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. | ||
|
2020MNRAS.495.4820L |
16 | D | 1 | 1340 | ~ | SDSS-IV MaNGA: stellar population correlates with stellar root-mean-square velocity Vrms gradients or total-density-profile slopes at fixed effective velocity dispersion σe. | LU S., CAPPELLARI M., MAO S., et al. | ||
|
2020MNRAS.498.4943B |
16 | D | 1 | 4016 | 15 | Are the Milky Way and Andromeda unusual? A comparison with Milky Way and Andromeda analogues. | BOARDMAN N., ZASOWSKI G., NEWMAN J.A., et al. | ||
|
2021ApJ...914..121A |
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. | ||
|
2021MNRAS.507..300S |
17 | D | 1 | 207 | 5 | The puzzling origin of massive compact galaxies in MaNGA. | SCHNORR-MULLER A., TREVISAN M., RIFFEL R., et al. | ||
|
2022ApJ...935..170A |
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 |
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. | ||
|
2023ApJS..268...63M |
17 | D | 1 | 562 | ~ | The New Swift/UVOT+MaNGA (SwiM) Value-added Catalog. | MOLINA M., DUFFY L., ERACLEOUS M., et al. | ||
|
2023ApJS..269....3M |
17 | D | 1 | 356397 | ~ | Siena Galaxy Atlas 2020. | MOUSTAKAS J., LANG D., DEY A., et al. | ||
|
2024MNRAS.527.7438R |
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 |
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. |