New insight on galaxy structure from GALPHAT I. Motivation, methodology, and benchmarks for Sersic models

Abstract

We introduce a new galaxy image decomposition tool, GALPHAT (GALaxy PHotometric ATtributes), to provide full posterior probability distributions and reliable confidence intervals for all model parameters. GALPHAT is designed to yield a high speed and accurate likelihood computation, using grid interpolation and Fourier rotation. We benchmark this approach using an ensemble of simulated Sersic model galaxies over a wide range of observational conditions: the signal-to-noise ratio S/N, the ratio of galaxy size to the PSF and the image size, and errors in the assumed PSF; and a range of structural parameters: the half-light radius $r_e$ and the Sersic index $n$. We characterise the strength of parameter covariance in Sersic model, which increases with S/N and $n$, and the results strongly motivate the need for the full posterior probability distribution in galaxy morphology analyses and later inferences. The test results for simulated galaxies successfully demonstrate that, with a careful choice of Markov chain Monte Carlo algorithms and fast model image generation, GALPHAT is a powerful analysis tool for reliably inferring morphological parameters from a large ensemble of galaxies over a wide range of different observational conditions. (abridged)

Submitted to MNRAS. The submitted version with high resolution figures can be downloaded from http://www.astro.umass.edu/~iyoon/GALPHAT/galphat1.pdf

References in corpus (38)

• The Sloan Digital Sky Survey: Technical Summary
• Detailed Structural Decomposition of Galaxy Images
• The Cosmic Evolution Survey (COSMOS) -- Overview
• The Broad-band Optical Properties of Galaxies with Redshifts 0.0 < z < 0.2
• A concise reference to (projected) Sersic R^{1/n} quantities, including Concentration, Profile Slopes, Petrosian indices, and Kron Magnitudes
• Simulations of Galaxy Formation in a Lambda CDM Universe II: The Fine Structure of Simulated Galactic Disks
• Structural Properties of Pseudo-Bulges, Classical Bulges and Elliptical Galaxies: an SDSS Perspective
• The DEEP Groth Strip Survey II. Hubble Space Telescope Structural Parameters of Galaxies in the Groth Strip
• Simulations of Galaxy Formation in a Lambda CDM Universe I: Dynamical and Photometric Properties of a Simulated Disk Galaxy
• Bayesian Strong Gravitational-Lens Modeling on Adaptive Grids: Objective Detection of Mass Substructure in Galaxies
• Structure of Disk Dominated Galaxies I. Bulge/Disk Parameters, Simulations, and Secular Evolution
• The Formation of a Realistic Disk Galaxy in Lambda Dominated Cosmologies
• Galaxy Formation: CDM, Feedback and the Hubble Sequence
• Bayesian Galaxy Shape Measurement for Weak Lensing Surveys -I. Methodology and a Fast Fitting Algorithm
• The Hierarchical Origin of Galaxy Morphologies
• Disk Galaxy Formation in a LambdaCDM Universe
• The Millennium Galaxy Catalogue: Bulge/Disc Decomposition of 10095 Nearby Galaxies
• BUDDA: A New Two-Dimensional Bulge/Disk Decomposition Code for Detailed Structural Analysis of Galaxies
• On the estimation of galaxy structural parameters: the Sersic Model
• Bayesian Galaxy Shape Measurement for Weak Lensing Surveys -II. Application to Simulations
• The effects of environment on morphological evolution between 0<z<1.2 in the COSMOS Survey
• The Cosmic Evolution Survey (COSMOS): The morphological content and enviromental dependence of the galaxy color-magnitude relation at z~0.7
• Galaxy morphology in the LambdaCDM cosmology
• An observer's view of simulated galaxies: disc-to-total ratios, bars, and (pseudo-)bulges
• Bulges versus disks: the evolution of angular momentum in cosmological simulations of galaxy formation
• A Bayesian approach to discrete object detection in astronomical datasets
• Bayesian methods of astronomical source extraction
• A fast Bayesian approach to discrete object detection in astronomical datasets - PowellSnakes I
• The 10k zCOSMOS: morphological transformation of galaxies in the group environment since z~1
• Galaxy morphology, kinematics and clustering in a hydrodynamic simulation of a LambdaCDM universe
• Morphological Classification of Galaxies by Shapelet Decomposition in the Sloan Digital Sky Survey
• Two dimensional bulge disk decomposition
• Scaling relations of the colour-detected cluster RzCS 052 at z=1.016 and of some other high redshift clusters
• Background-Source Separation in astronomical images with Bayesian probability theory (I): the method
• The Origin of the Hubble Sequence in Lambda-CDM Cosmology
• Analytical Galaxy Profiles for Photometric and Lensing Analysis
• Dynamical Models for NGC 6503 using a Markov Chain Monte Carlo Technique
• Parallel hierarchical sampling: a practical multiple-chains sampler for Bayesian model selection

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