# 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

**Authors:** Kai Zhu, Shengdong Lu, Michele Cappellari, Ran Li, Shude Mao, Liang Gao  
**arXiv:** [2304.11711](https://arxiv.org/abs/2304.11711)  
**Date:** 2023-04-23  
**Summary page:** https://www.summarizepaper.com/en/paper/2304.11711v1/

## Key points

- Authors present a comprehensive analysis of Dynamics and stellar Population (DynPop) for MaNGA survey within SDSS Data Release 17
- Study focuses on over 10,000 nearby galaxies using integral-field stellar kinematics from MaNGA survey
- Utilizes axisymmetric Jeans Anisotropic Modelling (JAM) method known for accuracy in dynamical properties extraction
- Employed eight different dynamical models with varying assumptions to assess systematic uncertainties
- Catalogue includes quantities related to mass distributions such as density slopes and enclosed mass within specified radii for total mass, stellar mass, and dark matter components
- Complete models offered to calculate full luminous and mass distribution of each galaxy
- Visual assessments of model qualities aid in model selections; observed scatter in measured quantities decreases with improved data quality
- Remarkable consistency in measured quantities across different models for highest quality data underscores robustness of results

## Summary

In the first paper of the MaNGA DynPop series, authors Kai Zhu, Shengdong Lu, Michele Cappellari, Ran Li, Shude Mao, and Liang Gao present a comprehensive analysis of the Dynamics and stellar Population (DynPop) for the MaNGA survey within SDSS Data Release 17. The study focuses on over 10,000 nearby galaxies and utilizes integral-field stellar kinematics from the MaNGA survey to extract dynamical properties using the axisymmetric Jeans Anisotropic Modelling (JAM) method. This method is known for its accuracy in this type of analysis. The authors assess systematic uncertainties by employing eight different dynamical models with varying assumptions. They consider two orientations of the velocity ellipsoid - cylindrically-aligned JAM$_{\rm cyl}$ or spherically-aligned JAM$_{\rm sph}$ - and four assumptions regarding dark vs. luminous matter distributions: mass-follows-light, free NFW dark halo, cosmologically-constrained NFW halo, and generalized NFW dark halo with a free inner slope. The catalogue provided includes quantities related to mass distributions such as density slopes and enclosed mass within specified radii for total mass, stellar mass, and dark matter components. Additionally, complete models are offered to calculate the full luminous and mass distribution of each galaxy. Visual assessments of model qualities aid in model selections. The authors also estimate observed scatter in measured quantities which decreases with improved data quality. Notably, for the highest quality data, there is remarkable consistency in measured quantities across different models, underscoring the robustness of the results. The paper spans 30 pages and includes 15 figures and 4 tables. The catalogue will be available at https://manga-dynpop.github.io/ upon publication in MNRAS (doi: 10.1093/mnras/stad1299).