|
other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
| 6C 090630+420932 , the SIMBAD biblio (30 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST15:46:18 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1989AJ.....98..419V |
1090 | 103 | Structures, spectral indexes, and optical identifications of radio sources selected from the B3 catalogue. | VIGOTTI M., GRUEFF G., PERLEY R., et al. | |||||
|
1990A&AS...82...41K |
751 | 14 | Spectral index distribution for a sample of sources from the B3 catalogue. | KULKARNI V.K., MANTOVANI F. and PAULINY-TOTH I.I.K. | |||||
| 1990PASP..102..113D | 11 | 13 | Spectroscopy of radio sources from the third Bologna survey. | DJORGOVSKI S., THOMPSON D.J., VIGOTTI M., et al. | |||||
|
1999A&AS..139..359V |
1046 | 11 | Multi-frequency study of the B3-VLA sample. II. The database. | VIGOTTI M., GREGORINI L., KLEIN U., et al. | |||||
|
2000A&AS..144..475P |
14 | D | 1 | 16406 | 8 | Galaxy coordinates. III. Accurate positions for 17124 galaxies including 3301 new companions of UGC galaxies. | PATUREL G., PETIT C., GARNIER R., 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. | ||
|
2010A&A...511A..53V |
15 | D | 1 | 107473 | 39 | The SPECFIND V2.0 catalogue of radio cross-identifications and spectra. SPECFIND meets the Virtual Observatory. | VOLLMER B., GASSMANN B., DERRIERE S., et al. | ||
|
2012MNRAS.421.1569B |
15 | D | 3 | 18458 | 511 | On the fundamental dichotomy in the local radio-AGN population: accretion, evolution and host galaxy properties. | BEST P.N. and HECKMAN T.M. | ||
|
2016MNRAS.460.3669Y |
16 | D | 1 | 7138 | 25 | Radio luminosity function of brightest cluster galaxies. | YUAN Z.S., HAN J.L. and WEN Z.L. | ||
|
2017MNRAS.466.2570B |
16 | D | 1 | 587 | 84 | SDSS-IV MaNGA - the spatially resolved transition from star formation to quiescence. | BELFIORE F., MAIOLINO R., MARASTON C., et al. | ||
|
2017MNRAS.466.4346M |
16 | D | 1 | 1437 | 66 | The nuclear properties and extended morphologies of powerful radio galaxies: the roles of host galaxy and environment. | MIRAGHAEI H. and BEST P.N. | ||
|
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. | ||
|
2018AJ....155..188L |
16 | D | 1 | 13497 | 1 | An analysis framework for understanding the origin of nuclear activity in low-power radio galaxies. | LIN Y.-T., HUANG H.-J. and CHEN Y.-C. | ||
|
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. | ||
|
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. | ||
|
2019AJ....157..126G |
16 | D | 1 | 4305 | 35 | Radio Galaxy Zoo: the distortion of radio galaxies by galaxy clusters. | GARON A.F., RUDNICK L., WONG O.I., et al. | ||
|
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. | ||
|
2020ApJ...901..159C |
16 | D | 1 | 407 | 26 | A catalog of 406 AGNs in MaNGA: a connection between radio-mode AGNs and star formation quenching. | COMERFORD J.M., NEGUS J., MULLER-SANCHEZ F., et al. | ||
| 2021ApJ...917L..24T | 17 | D | 1 | 54 | 3 | Mass-velocity dispersion relation in MaNGA brightest cluster galaxies. | TIAN Y., CHENG H., McGAUGH S.S., et al. | ||
|
2021A&A...655A..17S |
17 | D | 1 | 338578 | 3 | The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. | STEIN Y., VOLLMER B., BOCH T., et al. | ||
|
2022ApJ...933...61H |
17 | D | 1 | 129 | ~ | SDSS-IV MaNGA: Cannibalism Caught in the Act-On the Frequency of Occurrence of Multiple Cores in Brightest Cluster Galaxies. | HSU Y.-H., LIN Y.-T., HUANG S., 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..269....3M |
17 | D | 1 | 356397 | ~ | Siena Galaxy Atlas 2020. | MOUSTAKAS J., LANG D., DEY A., et al. | ||
| 2024A&A...684A.180T | 18 | D | 1 | 50 | ~ | A distinct radial acceleration relation across the brightest cluster galaxies and galaxy clusters. | TIAN Y., KO C.-M., LI P., 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. |