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| NVSS J075916+420030 , the SIMBAD biblio (31 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST12:25:51 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2003A&A...412...45P |
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2009MNRAS.395..255M |
15 | D | 1 | 397037 | 82 | Compact groups in theory and practice - III. Compact groups of galaxies in the sixth data release of the Sloan Digital Sky Survey. | McCONNACHIE A.W., PATTON D.R., ELLISON S.L., et al. | ||
|
2010ApJS..186..427N |
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. | ||
|
2011MNRAS.416.2840L |
15 | D | 1 | 72558 | 178 | The 2M++ galaxy redshift catalogue. | LAVAUX G. and HUDSON M.J. | ||
|
2013ApJS..208....7J |
15 | D | 1 | 966 | 27 | On the nature of sodium excess objects. I. Data and observed trends. | JEONG H., YI S.K., KYEONG J., et al. | ||
|
2013AJ....146..151O |
15 | D | 1 | 10249 | 5 | Demographics of Sloan Digital Sky Survey galaxies along the Hubble sequence. | OH K., CHOI H., KIM H.-G., 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. | ||
|
2015ApJ...809...91P |
16 | D | 1 | 1816 | 6 | Outflows in sodium excess objects. | PARK J., JEONG H. and YI S.K. | ||
|
2015ApJS..220....3K |
16 | D | 1 | 6072 | 10 | Demographics of isolated galaxies along the Hubble sequence. | KHIM H.-G., PARK J., SEO S.-W., et al. | ||
|
2016A&A...588A..14T |
16 | D | 1 | 84079 | 35 | Friends-of-friends galaxy group finder with membership refinement. | TEMPEL E., KIPPER R., TAMM A., et al. | ||
|
2017ApJ...836..115O |
16 | D | 1 | 838 | 4 | Testing the presence of multiple photometric components in nearby early-type galaxies using SDSS. | OH S., GREENE J.E. and LACKNER C.N. | ||
| 2017ApJ...839...87B | 95 | D | F | 2 | 25 | 7 | SDSS IV MaNGA-Rotation velocity lags in the extraplanar ionized gas from MaNGA observations of edge-on galaxies. | BIZYAEV D., WALTERBOS R.A.M., YOACHIM P., 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. | ||
|
2017MNRAS.471.2687B |
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. | ||
|
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. | ||
|
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. | ||
|
2019ApJ...872..148C |
16 | D | 1 | 15663 | 21 | Radio sources in the nearby universe. | CONDON J.J., MATTHEWS A.M. and BRODERICK J.J. | ||
|
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. | ||
|
2020ApJS..247...53K |
16 | D | 1 | 23378 | 20 | Radio sources associated with Optical Galaxies and having Unresolved or Extended morphologies (ROGUE). I. A catalog of SDSS galaxies with FIRST core identifications. | KOZIEL-WIERZBOWSKA D., GOYAL A. and ZYWUCKA N. | ||
|
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. | ||
|
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. | ||
|
2022MNRAS.511.4223A |
17 | D | 1 | 370 | 2 | Cool outflows in MaNGA: a systematic study and comparison to the warm phase. | AVERY C.R., WUYTS S., FORSTER SCHREIBER N.M., 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. | ||
| 2022A&A...665A.144M | 17 | D | 1 | 534 | 3 | Star formation and AGN feedback in the local Universe: Combining LOFAR and MaNGA. | MULCAHEY C.R., LESLIE S.K., JACKSON T.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..267...41K |
17 | D | 1 | 2026 | ~ | Minor Mergers Are Not Enough: The Importance of Major Mergers during Brightest Cluster Galaxy Assembly. | KLUGE M. and BENDER R. | ||
|
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. |