iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. I. Construction and analysis of the mock data cubes
arXiv:2203.11575 · doi:10.1093/mnras/stac1531
Abstract
Galaxy formation and evolution simulations are essential tools to probe poorly known astrophysics processes, but particular care is needed to compare simulations with galaxy observations, as observed data need to be modelled as well. We present a method to generate mock galaxies from the hydro-dynamical IllustrisTNG simulations which are suited to compare with integral field spectroscopic observation of galaxies from the SDSS-IV/MaNGA survey. Firstly, we include the same instrumental effects and procedures as adopted in the acquisition and analysis of real data. Furthermore, we generate the galaxy spectra from the simulations using new stellar population models based on the MaNGA stellar library (MaStar). In this way, our mock data cubes have the same spatial sampling, cover the same wavelength range (3600-10300 Å), and share the same spectral resolution () and flux calibration of real MaNGA galaxy spectra. In this first paper, we demonstrate the method over an early-type and a late-type simulated galaxy from TNG50. We analyse the correspondent mock MaNGA-like data cubes with the same full spectral fitting code, \textsc{FIREFLY}, which was used for the observed spectra. We find that the intrinsic and recovered age and metallicity gradients are consistent within 1, with residuals over all tassels consistent with at the 68 confidence level. We also perform the challenging test at comparing intrinsic and recovered star formation histories, finding a close resemblance between input and output. In follow-up papers, we will present a full simulated MaNGA-like catalogue ( galaxies) with a comprehensive comparison of TNG50 simulations to MaNGA observational results.
References in corpus (30)
- 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
- Properties of galaxies reproduced by a hydrodynamic simulation
- Simulating galaxy formation with black hole driven thermal and kinetic feedback
- Dust Masses, PAH Abundances, and Starlight Intensities in the SINGS Galaxy Sample
- 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
- SDSS-IV MaNGA IFS Galaxy Survey --- Survey Design, Execution, and Initial Data Quality
- 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
- Far-infrared and dust properties of present-day galaxies in the EAGLE simulations
- SDSS-IV MaNGA: Modeling the Spectral Line Spread Function to Sub-Percent Accuracy
- 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
- HI-MaNGA: Tracing the physics of the neutral and ionized ISM with the second data release
- On the (in)variance of the dust-to-metals ratio in galaxies
- Galaxies in the Illustris simulation as seen by the Sloan Digital Sky Survey - I: Bulge+disc decompositions, methods, and biases
- Decoupling the rotation of stars and gas -- I: the relationship with morphology and halo spin
- SDSS-IV MaNGA: drivers of stellar metallicity in nearby galaxies
- The MaNGA FIREFLY Value-Added-Catalogue: resolved stellar populations of 10,010 nearby galaxies
- Accurate Identification of Galaxy Mergers with Stellar Kinematics
- A study of outer disk stellar populations of face-on star-forming galaxies in SDSS-IV MaNGA: causes of H deficiency
Cited by in corpus (13)
- The Contribution of In-situ and Ex-situ Star Formation in Early-Type Galaxies: MaNGA versus IllustrisTNG
- MaNGIA: 10,000 mock galaxies for stellar population analysis
- Colour gradients of low-redshift galaxies in the DESI Legacy Imaging Survey
- MaNGA galaxy properties -- II. A detailed comparison of observed and simulated spiral galaxy scaling relations
- Spatially resolved mock observations of stellar kinematics: full radiative transfer treatment of simulated galaxies
- iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs -- II. The catalogue
- The dark side of galaxy stellar populations II: The dependence of star formation histories on halo mass and on the scatter of the main sequence
- Simulated observations of star formation regions: infrared evolution of globally collapsing clouds
- iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. -- III. Stellar metallicity drivers in MaNGA and TNG50
- Decomposing galaxies with BANG: an automated morpho-kinematical decomposition of the SDSS-DR17 MaNGA survey
- Cloudy-Maraston: Integrating nebular continuum and line emission with the Maraston stellar population synthesis models
- The Tremaine-Weinberg method at high redshifts
- Mocking IFU observations and metallicity diagnostics from cosmological simulations