iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs -- II. The catalogue
arXiv:2211.13146 · doi:10.1093/mnras/stad1337
Abstract
Strengthening the synergy between simulations and observations is essential to test galaxy formation and evolution theories. To achieve this goal, in the first paper of this series, we presented a method to generate mock SDSS-IV/MaNGA integral-field spectroscopic galaxy observations from cosmological simulations. In this second paper, we build the iMaNGA catalogue consisting of 1,000 unique galaxies from the TNG50 cosmological simulations, selected to mimic the SDSS-IV/MaNGA-Primary sample selection. Here we present and discuss the iMaNGA sample and its comparison to the MaNGA Primary catalogue. The iMaNGA sample well recovers the MaNGA-Primary sample in terms of stellar mass vs angular size relation and spatial resolution. The Sérsic index vs angular size relation, instead, is not reproduced well by the simulations, mostly because of a paucity of high-mass elliptical galaxies in TNG50. We also investigate our ability to recover the galaxy kinematics and stellar population properties with full-spectral fitting. We demonstrate that 'intrinsic' and `recovered' stellar kinematics, stellar ages and metallicities are consistent, with residuals compatible with zero within 1. Also`intrinsic' and `recovered' star formation histories display a great resemblance. We conclude that our mock generation and spectral fitting processes do not distort the `intrinsic' galaxy properties. Therefore, in the third paper of this series, we can meaningfully test the cosmological simulations, comparing the stellar population properties and kinematics of the iMaNGA mock galaxies and the MaNGA observational results.
Published on MNRAS: 03 May 2023 https://doi.org/10.1093/mnras/stad1337
References in corpus (31)
- The EAGLE project: Simulating the evolution and assembly of galaxies and their environments
- The 2.5 m Telescope of the Sloan Digital Sky Survey
- Introducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe
- Overview of the SDSS-IV MaNGA Survey: Mapping Nearby Galaxies at Apache Point Observatory
- Improving the full spectrum fitting method: accurate convolution with Gauss-Hermite functions
- Simulating galaxy formation with black hole driven thermal and kinetic feedback
- Introducing the Illustris Project: the evolution of galaxy populations across cosmic time
- The Illustris simulation: the evolving population of black holes across cosmic time
- A primer on hierarchical galaxy formation: the semi-analytical approach
- The MaNGA Integral Field Unit Fiber Feed System for the Sloan 2.5 m Telescope
- The Data Reduction Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey
- The SDSS-IV MaNGA Sample: Design, Optimization, and Usage Considerations
- SKIRT: an Advanced Dust Radiative Transfer Code with a User-Friendly Architecture
- The Size Evolution of Star-forming and Quenched Galaxies in the IllustrisTNG simulation
- Sunrise: Polychromatic Dust Radiative Transfer in Arbitrary Geometries
- Modelling the Pan-Spectral Energy Distribution of Starburst Galaxies: IV The Controlling Parameters of the Starburst SED
- SDSS-IV MaNGA: Spatially resolved star formation histories in galaxies as a function of galaxy mass and type
- Firefly (Fitting IteRativEly For Likelihood analYsis): a full spectral fitting code
- Synthetic Galaxy Images and Spectra from the Illustris Simulation
- Galaxies in the Illustris simulation as seen by the Sloan Digital Sky Survey - II: Size-luminosity relations and the deficit of bulge-dominated galaxies in Illustris at low mass
- The Scaling of Stellar Mass and Central Stellar Velocity Dispersion for Quiescent galaxies at z < 0.7
- Stellar population models based on the SDSS-IV MaStar library of stellar spectra. I. Intermediate-age/old models
- Decoupling the rotation of stars and gas -- I: the relationship with morphology and halo spin
- A redshift-dependent IRX- dust attenuation relation for TNG50 galaxies
- SDSS-IV MaNGA: drivers of stellar metallicity in nearby galaxies
- The MaNGA FIREFLY Value-Added-Catalogue: resolved stellar populations of 10,010 nearby galaxies
- MaNGIA: 10,000 mock galaxies for stellar population analysis
- Accurate Identification of Galaxy Mergers with Stellar Kinematics
- Cosmological simulations of Milky Way-sized galaxies
- iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. I. Construction and analysis of the mock data cubes
- Realistic synthetic integral field spectroscopy with RealSim-IFS
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