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Cited by 54Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studiesAstrophysical Phenomena and Observations

MaNGA DynPop – I. Quality-assessed stellar dynamical modelling from integral-field spectroscopy of 10K nearby galaxies: a catalogue of masses, mass-to-light ratios, density profiles, and dark matter

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Zhu, Kai, Lu, Shengdong, Cappellari, Michele, Li, Ran, Mao, Shude, Gao, Liang·2023·Monthly Notices of the Royal Astronomical Society
DOI 10.1093/mnras/stad1299
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Abstract

This is the first paper in our series on the combined analysis of the Dynamics and stellar Population (DynPop) for the MaNGA survey in the final SDSS Data Release 17 (DR17). Here, we present a catalogue of dynamically determined quantities for over 10 000 nearby galaxies based on integral-field stellar kinematics from the MaNGA survey. The dynamical properties are extracted using the axisymmetric Jeans Anisotropic Modelling (JAM) method, which was previously shown to be the most accurate for this kind of study. We assess systematic uncertainties using eight dynamical models with different assumptions. We use two orientations of the velocity ellipsoid: either cylindrically aligned JAMcyl or spherically aligned JAMsph. We also make four assumptions for the models’ dark versus luminous matter distributions: (1) mass-follows-light, (2) free NFW dark halo, (3) cosmologically constrained NFW halo, (4) generalized NFW dark halo, i.e. with free inner slope. In this catalogue, we provide the quantities related to the mass distributions (e.g. the density slopes and enclosed mass within a sphere of a given radius for total mass, stellar mass, and dark matter mass components). We also provide the complete models which can be used to compute the full luminous and mass distribution of each galaxy. Additionally, we visually assess the qualities of the models to help with model selections. We estimate the observed scatter in the measured quantities which decreases as expected with improvements in quality. For the best data quality, we find a remarkable consistency of measured quantities between different models, highlighting the robustness of the results.

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Cited by

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Authors
Zhu, K., Lu, S., Cappellari, M., Li, R., Mao, S., & Gao, L.
Affiliations
  • Chinese Academy of Sciences (CN)
  • Tsinghua University (CN)
  • University of Oxford (GB)
  • Durham University (GB)
Corresponding author
  • Zhu, Kai
  • Lu, Shengdong
  • Li, Ran
ORCID
Venue
Monthly Notices of the Royal Astronomical Society
Publisher
Oxford University Press (OUP)
Published
2023-04-29
Volume
522
Issue
4
Pages
6326-6353
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
DOI
10.1093/mnras/stad1299
OpenAlex
W4367549620
Cited by
54
References
3
Citations by year
2026: 11 · 2025: 16 · 2024: 19 · 2023: 8
FWCI
5.94
Type
journal article
Language
en
Open access
Licence
academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
Locations
  • Monthly Notices of the Royal Astronomical Society (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Key Research and Development Program of China (2018YFA0404501)
  • National Science Foundation of China (11821303, 11761131004, 11761141012, 11988101, 11773032, 12022306)
  • Ministry of Science and Technology (2020SKA0110100)
Topics
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Stellar, planetary, and galactic studies
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Astrophysical Phenomena and Observations
Keywords
MaNGA survey, nearby galaxies, integral field spectroscopy, stellar kinematics, dark matter halos, mass-to-light ratio, density profile, velocity ellipsoid, NFW halo, model selection, systematic uncertainties, galaxy mass distribution

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