Galaxies in the Illustris simulation as seen by the Sloan Digital Sky Survey - I: Bulge+disc decompositions, methods, and biases
arXiv:1701.01451 · doi:10.1093/mnras/stx017
Abstract
We present an image-based method for comparing the structural properties of galaxies produced in hydrodynamical simulations to real galaxies in the Sloan Digital Sky Survey. The key feature of our work is the introduction of extensive observational realism, such as object crowding, noise and viewing angle, to the synthetic images of simulated galaxies, so that they can be fairly compared to real galaxy catalogs. We apply our methodology to the dust-free synthetic image catalog of galaxies from the Illustris simulation at , which are then fit with bulge+disc models to obtain morphological parameters. In this first paper in a series, we detail our methods, quantify observational biases, and present publicly available bulge+disc decomposition catalogs. We find that our bulge+disc decompositions are largely robust to the observational biases that affect decompositions of real galaxies. However, we identify a significant population of galaxies (roughly 30\% of the full sample) in Illustris that are prone to internal segmentation, leading to systematically reduced flux estimates by up to a factor of 6, smaller half-light radii by up to a factor of 2, and generally erroneous bulge-to-total fractions of (B/T)=0.
Accepted for publication in MNRAS. 37 pages, 25 figures
References in corpus (12)
- The EAGLE project: Simulating the evolution and assembly of galaxies and their environments
- Introducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe
- The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations
- Properties of galaxies reproduced by a hydrodynamic simulation
- Introducing the Illustris Project: the evolution of galaxy populations across cosmic time
- Bimodal gas accretion in the Horizon-MareNostrum galaxy formation simulation
- Sunrise: Polychromatic Dust Radiative Transfer in Arbitrary Geometries
- Submillimetre galaxies in a hierarchical universe: number counts, redshift distribution, and implications for the IMF
- Synthetic Galaxy Images and Spectra from the Illustris Simulation
- Galaxy And Mass Assembly (GAMA): relations of bulges, discs and spheroids
- How to distinguish starbursts and quiescently star-forming galaxies: The `bimodal' submillimetre galaxy population as a case study
- Modeling the Dust Properties of z ~ 6 Quasars with ART^2 -- All-wavelength Radiative Transfer with Adaptive Refinement Tree
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