Realistic synthetic integral field spectroscopy with RealSim-IFS
arXiv:2205.15335 · doi:10.1093/mnras/stac1532
Abstract
The most direct way to confront observed galaxies with those formed in numerical simulations is to forward-model simulated galaxies into synthetic observations. Provided that synthetic galaxy observations include similar constraints and limitations as real observations, they can be used to (1) carry out even-handed comparisons of observation and theory and (2) map the observable characteristics of simulated galaxies to their a priori known origins. In particular, integral field spectroscopy (IFS) expands the scope of such comparisons and mappings to an exceptionally broad set of physical properties. We therefore present RealSim-IFS: a tool for forward-modelling galaxies from hydrodynamical simulations into synthetic IFS observations. The core components of RealSim-IFS model the detailed spatial sampling mechanics of any fibre-bundle, image slicer, or lenslet array IFU and corresponding observing strategy, real or imagined, and support the corresponding propagation of noise adopted by the user. The code is highly generalized and can produce cubes in any light- or mass-weighted quantity (e.g. specific intensity, gas/stellar line-of-sight velocity, stellar age/metallicity, etc.). We show that RealSim-IFS exactly reproduces the spatial reconstruction of specific intensity and variance cubes produced by the MaNGA survey Data Reduction Pipeline using the calibrated fibre spectra as input. We then apply RealSim-IFS by producing a public synthetic MaNGA stellar kinematic survey of 893 galaxies with from the TNG50 cosmological hydrodynamical simulation.
arXiv comment18 pages, 11 figures, MNRAS accepted. Code URL: [https://github.com/cbottrell/realsim_ifs]. Data (Input): [http://idark.ipmu.jp/hsc405/LOSVD/]. Data (Output): [http://idark.ipmu.jp/hsc405/MaNGA/]
References in corpus (86)
- Array Programming with NumPy
- Astropy: A Community Python Package for Astronomy
- Planck 2015 results. XIII. Cosmological parameters
- The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
- Populating a cluster of galaxies - I. Results at z=0
- E pur si muove: Galiliean-invariant cosmological hydrodynamical simulations on a moving mesh
- The 2.5 m Telescope of the Sloan Digital Sky Survey
- Simulating Galaxy Formation with the IllustrisTNG Model
- Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample
- First results from the IllustrisTNG simulations: matter and galaxy clustering
- First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies
- Overview of the SDSS-IV MaNGA Survey: Mapping Nearby Galaxies at Apache Point Observatory
- First results from the IllustrisTNG simulations: the galaxy color bimodality
- Improving the full spectrum fitting method: accurate convolution with Gauss-Hermite functions
- Adaptive spatial binning of integral-field spectroscopic data using Voronoi tessellations
- Properties of galaxies reproduced by a hydrodynamic simulation
- First results from the IllustrisTNG simulations: A tale of two elements -- chemical evolution of magnesium and europium
- CALIFA, the Calar Alto Legacy Integral Field Area survey: I. Survey presentation
- First results from the IllustrisTNG simulations: radio haloes and magnetic fields
- The Multi-Object, Fiber-Fed Spectrographs for SDSS and the Baryon Oscillation Spectroscopic Survey
- Introducing the Illustris Project: the evolution of galaxy populations across cosmic time
- First Results from the TNG50 Simulation: Galactic outflows driven by supernovae and black hole feedback
- A model for cosmological simulations of galaxy formation physics
- Drizzle: A Method for the Linear Reconstruction of Undersampled Images
- The merger rate of galaxies in the Illustris Simulation: a comparison with observations and semi-empirical models
- A Catalog of Bulge+Disk Decompositions and Updated Photometry for 1.12 Million Galaxies in the Sloan Digital Sky Survey
- The Sydney-AAO Multi-object Integral field spectrograph (SAMI)
- The SAMI Galaxy Survey: instrument specification and target selection
- The MaNGA Integral Field Unit Fiber Feed System for the Sloan 2.5 m Telescope
- Supermassive black holes and their feedback effects in the IllustrisTNG simulation
- The optical morphologies of galaxies in the IllustrisTNG simulation: a comparison to Pan-STARRS observations
- The Data Reduction Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey
- The SDSS-IV MaNGA Sample: Design, Optimization, and Usage Considerations
- The Data Analysis Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey: Overview
- The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library
- The ATLAS project - XXV: Two-dimensional kinematic analysis of simulated galaxies and the cosmological origin of fast and slow rotators
- A physical model for cosmological simulations of galaxy formation: multi-epoch validation
- Efficient 3D NLTE dust radiative transfer with SKIRT
- SKIRT: an Advanced Dust Radiative Transfer Code with a User-Friendly Architecture
- Sunrise: Polychromatic Dust Radiative Transfer in Arbitrary Geometries
- Dark Matter Substructure in Numerical Simulations: A Tale of Discreteness Noise, Runaway Instabilities, and Artificial Disruption
- SDSS-IV/MaNGA: Spectrophotometric Calibration Technique
- A catalog of bulge, disk, and total stellar mass estimates for the Sloan Digital Sky Survey
- MegaMorph - multi-wavelength measurement of galaxy structure: complete Sérsic profile information from modern surveys
- Galaxy Morphology and Star Formation in the Illustris Simulation at z=0
- A catalogue of 2D photometric decompositions in the SDSS-DR7 spectroscopic main galaxy sample: preferred models and systematics
- Three-Dimensional Dust Radiative Transfer
- The SAMI Galaxy Survey: Revisiting Galaxy Classification Through High-Order Stellar Kinematics
- Quantifying the impact of mergers on the angular momentum of simulated galaxies
- SDSS-IV MaStar -- A Large and Comprehensive Empirical Stellar Spectral Library: First Release
- Deep learning predictions of galaxy merger stage and the importance of observational realism
- The SAMI Galaxy Survey: Cubism and covariance, putting round pegs into square holes
- An observer's view of simulated galaxies: disc-to-total ratios, bars, and (pseudo-)bulges
- Spatially Resolved Star Formation and Inside-out Quenching in the TNG50 Simulation and 3D-HST Observations
- The Origin and Evolution of Fast and Slow Rotators in the Illustris Simulation
- Kinematics of Simulated Galaxies I: Connecting Dynamical and Morphological Properties of Early-Type Galaxies at Different Redshifts
- 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 Hubble Sequence at in the IllustrisTNG simulation with deep learning
- Fast galaxy bars continue to challenge standard cosmology
- Stellar population models based on the SDSS-IV MaStar library of stellar spectra. I. Intermediate-age/old models
- Interacting galaxies in the IllustrisTNG simulations -- I: Triggered star formation in a cosmological context
- SDSS-IV MaNGA: Refining Strong Line Diagnostic Classifications Using Spatially Resolved Gas Dynamics
- NIHAO VI. The hidden discs of simulated galaxies
- The relationship between fine galaxy stellar morphology and star formation activity in cosmological simulations: a deep learning view
- On the evolution of galaxy spin in a cosmological hydrodynamic simulation of galaxy clusters
- Optical Integral Field Spectroscopy observations applied to simulated galaxies: Testing the fossil record method
- The impact of quenching on galaxy profiles in the Simba simulation
- Bulge plus disc and Sérsic decomposition catalogues for 16,908 galaxies in the SDSS Stripe 82 co-adds: A detailed study of the structural measurements
- The diverse nature and formation paths of slow rotator galaxies in the EAGLE simulations
- On the origin of star-gas counterrotation in low-mass galaxies
- Extreme kinematic misalignment in IllustrisTNG galaxies: the origin, structure and internal dynamics of galaxies with a large-scale counterrotation
- SDSS-IV MaNGA: Galaxy Pair Fraction and Correlated Active Galactic Nuclei
- Galaxies in the Illustris simulation as seen by the Sloan Digital Sky Survey - I: Bulge+disc decompositions, methods, and biases
- Weighted skewness and kurtosis unbiased by sample size
- Skewness and kurtosis unbiased by Gaussian uncertainties
- Integral Field Spectroscopy of a sample of nearby galaxies. I. Sample, Observations and Data Reduction
- Quenching Timescales in the IllustrisTNG Simulation
- Decoupling the rotation of stars and gas -- II: the link between black hole activity and MaNGA kinematics in TNG
- Stacked star formation rate profiles of bursty galaxies exhibit 'coherent' star formation
- Towards robust determination of non-parametric morphologies in marginal astronomical data: resolving uncertainties with cosmological hydrodynamical simulations
- Galaxy Zoo: Morphological classification of galaxy images from the Illustris simulation
- Accurate Identification of Galaxy Mergers with Stellar Kinematics
- SimSpin -- Constructing mock IFS kinematic data cubes
- Lopsided galactic bars
- What Is Inside Matters: Simulated Green Valley Galaxies Have Centrally Concentrated Star Formation
- Robustness of deep learning algorithms in astronomy -- galaxy morphology studies
Cited by in corpus (8)
- 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
- Molecular gas and star formation in nearby starburst galaxy mergers
- 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
- GalaxyGenius: Mock galaxy image generator for various telescopes from hydrodynamical simulations
- The Tremaine-Weinberg method at high redshifts