LEDA 1148827 , the SIMBAD biblio

LEDA 1148827 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST00:27:47

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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
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.
2003ApJ...598..260P viz 5078 196 Observing the dark matter density profile of isolated galaxies. PRADA F., VITVITSKA M., KLYPIN A., et al.
2017MNRAS.466.2570B viz 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.
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.
2018MNRAS.476.1765L viz 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 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.
2018MNRAS.481.2458D viz 16       D               1 31575 ~ On the nature of small galaxy systems. DUPLANCIC F., COLDWELL G.V., ALONSO S., 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.
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.
2020MNRAS.495.4820L viz 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...903..145L viz 16       D               3 46 34 ALMaQUEST. IV. The ALMA-MaNGA QUEnching and STar formation (ALMaQUEST) survey. LIN L., ELLISON S.L., PAN H.-A., et al.
2021MNRAS.501.4777E 227       D     X   F     5 28 38 The ALMaQUEST Survey - V. The non-universality of kpc-scale star formation relations and the factors that drive them. ELLISON S.L., LIN L., THORP M.D., et al.
2022ApJ...934..173S 17       D               1 34 3 The ALMaQUEST Survey. VIII. What Causes the Discrepancy in the Velocity between the CO and Hα Rotation Curves in Galaxies? SU Y.-C., LIN L., PAN H.-A., et al.
2022MNRAS.516.1462T 102       D         F     3 32 10 The ALMaQUEST Survey X: what powers merger induced star formation? THORP M.D., ELLISON S.L., PAN H.-A., 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.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY A., et al.
2024MNRAS.527.7438R viz 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.
2024MNRAS.52710201E 18       D               1 66 ~ The ALMaQUEST Survey XI: a strong but non-linear relationship between star formation and dynamical equilibrium pressure. ELLISON S.L., PAN H.-A., BLUCK A.F.L., et al.
2024ApJ...964..120P 134           X   F     2 46 ~ The ALMaQUEST Survey. XIII. Understanding Radial Trends in Star Formation Quenching via the Relative Roles of Gas Availability and Star Formation Efficiency. PAN H.-A., LIN L., ELLISON S.L., 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.
2026ApJ...999..263L 20       D               2 72 ~ The ALMaQUEST Survey. XVII. Unveiling Multiple Quenching Pathways in Green Valley Galaxies via Molecular Gas and Quenching Timescale Analyses. LIN L., WU P.-F., THORP M.D., et al.

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