Can we constrain galaxy geometry parameters using spatially integrated SED fitting?
arXiv:2212.05660 · doi:10.1093/mnras/stac3661
Abstract
Sophisticated spectral energy distribution (SED) models describe dust attenuation and emission using geometry parameters. This treatment is natural since dust effects are driven by the underlying star-dust geometry in galaxies. An example is the Starduster SED model, which divides a galaxy into a stellar disk, a stellar bulge, and a dust disk. This work utilises the Starduster SED model to study the efficacy of inferring geometry parameters using spatially integrated SED fitting. Our method fits the SED model to mock photometry produced by combining a semi-analytic model with the same SED model. Our fitting results imply that the disk radius can be constrained, while the inclination angle, dust disk to stellar disk radius ratio, bulge radius and intrinsic bulge to total luminosity ratio are unconstrained, even though 21 filters from UV to FIR are used. We also study the impact of S/N, finding that the increase of S/N (up to 80) brings limited improvements to the results. We provide a detailed discussion to explain these findings, and point out the implications for models with more general geometry.
arXiv comment14 pages, 13 figures, Accepted for publication in MNRAS
References in corpus (42)
- SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
- Array Programming with NumPy
- Astropy: A Community Python Package for Astronomy
- Galactic Stellar and Substellar Initial Mass Function
- The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
- Simulating the joint evolution of quasars, galaxies and their large-scale distribution
- The Star Formation Efficiency in Nearby Galaxies: Measuring Where Gas Forms Stars Effectively
- The propagation of uncertainties in stellar population synthesis modeling I: The relevance of uncertain aspects of stellar evolution and the IMF to the derived physical properties of galaxies
- Detailed Decomposition of Galaxy Images. II. Beyond Axisymmetric Models
- The hierarchical formation of the brightest cluster galaxies
- CIGALE: a python Code Investigating GALaxy Emission
- From dwarf spheroidals to cDs: Simulating the galaxy population in a LCDM cosmology
- The size distribution of galaxies in the Sloan Digital Sky Survey
- The propagation of uncertainties in stellar population synthesis modeling III: model calibration, comparison, and evaluation
- Stellar Population Inference with Prospector
- How to Measure Galaxy Star Formation Histories II: Nonparametric Models
- Deriving Physical Properties from Broadband Photometry with Prospector: Description of the Model and a Demonstration of its Accuracy Using 129 Galaxies in the Local Universe
- Nebular Continuum and Line Emission in Stellar Population Synthesis Models
- The Ages of Elliptical Galaxies in a Merger Model
- Galaxy formation in WMAP1 and WMAP7 cosmologies
- Efficient 3D NLTE dust radiative transfer with SKIRT
- SKIRT: an Advanced Dust Radiative Transfer Code with a User-Friendly Architecture
- How to measure galaxy star-formation histories I: Parametric models
- GAMA/G10-COSMOS/3D-HST: The 0<z<5 cosmic star-formation history, stellar- and dust-mass densities
- Modelling the spectral energy distribution of galaxies. V. The dust and PAH emission SEDs of disk galaxies
- How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting
- ProSpect: Generating Spectral Energy Distributions with Complex Star Formation and Metallicity Histories
- Radial distribution of dust, stars, gas, and star-formation rate in DustPedia face-on galaxies
- Mapping dust through emission and absorption in nearby galaxies
- Far-infrared and dust properties of present-day galaxies in the EAGLE simulations
- Star Formation and Metallicity Gradients in Semi-analytic Models of Disk Galaxy Formation
- Galaxy And Mass Assembly (GAMA): A forensic SED reconstruction of the cosmic star formation history and metallicity evolution by galaxy type
- The DIRTY Model II: Self-Consistent Treatment of Dust Heating and Emission in a 3-D Radiative Transfer Code
- Powderday: Dust Radiative Transfer for Galaxy Simulations
- FitSKIRT: genetic algorithms to automatically fit dusty galaxies with a Monte Carlo radiative transfer code
- Pégase.3: A code for modeling the UV-to-IR/submm spectral and chemical evolution of galaxies with dust
- Resolution-independent modeling of environmental effects in semi-analytic models of galaxy formation that include ram-pressure stripping of both hot and cold gas
- Cosmological parameter estimation using Particle Swarm Optimization (PSO)
- ProFuse: Physical Multi-Band Structural Decomposition of Galaxies and the Mass-Size-Age Plane
- Systematic biases in determining dust attenuation curves through galaxy SED fitting
- Starduster: A multi-wavelength SED model based on radiative transfer simulations and deep learning
- The Impact of Inclination-dependent Attenuation on Ultraviolet Star Formation Rate Tracers