PoPE: A population-based approach to model spatial structure of astronomical systems
arXiv:2006.16408 · doi:10.3847/1538-3881/abc630
Abstract
We present a novel population-based Bayesian inference approach to model the average and population variance of spatial distribution of a set of observables from ensemble analysis of low signal-to-noise ratio measurements. The method consists of (1) inferring the average profile using Gaussian Processes and (2) computing the covariance of the profile observables given a set of independent variables. Our model is computationally efficient and capable of inferring average profiles of a large population size from noisy measurements, without stacking and binning data nor parameterizing the shape of the mean profile. We demonstrate the performance of our method using dark matter, gas and stellar profiles extracted from hydrodynamical cosmological simulations of galaxy formation. Population Profile Estimator (PoPE) is publicly available in a GitHub repository. Our new method should be useful for measuring the spatial distribution and internal structure of a variety of astrophysical systems using large astronomical surveys.
14 pages, 9 figures, 2 tables, the code is publicly available at https://github.com/afarahi/PoPE
References in corpus (12)
- Some Aspects of Measurement Error in Linear Regression of Astronomical Data
- The Evolution of Galaxy Structure over Cosmic Time
- Baryon effects on the internal structure of LCDM halos in the EAGLE simulations
- Lensing Constraints on the Mass Profile Shape and the Splashback Radius of Galaxy Clusters
- Satellite Galaxies and Fossil Groups in the Millennium Simulation
- A Model for Multi-property Galaxy Cluster Statistics
- Orientation Bias of Optically Selected Galaxy Clusters and Its Impact on Stacked Weak Lensing Analyses
- New Approaches To Photometric Redshift Prediction Via Gaussian Process Regression In The Sloan Digital Sky Survey
- Gaussian Process Modelling of Asteroseismic Data
- Stellar Density Profiles of Dwarf Spheroidal Galaxies
- The Three Hundred Project: the stellar and gas profiles
- Probing Cosmology and Cluster Astrophysics with Multi-Wavelength Surveys I. Correlation Statistics