We present a new galaxy survey simulation package, which combines the power of Markov Chain Monte Carlo (MCMC) sampling with a robust and adaptable model of galaxy evolution. The aim of this code is to aid in the characterization and study of new and existing galaxy surveys. In this paper we briefly describe the MCMC implementation and the survey simulation methodology and associated tools. A test case of this full suite was to constrain the evolution of the IR Luminosity Function (LF) based on the HerMES (Herschel SPIRE) survey of the Spitzer First Look Survey field. The initial results are consistent with previous studies, but our more general approach should be of wider benefit to the community.
@article{arxiv.1407.0903,
title = {Robust Constraint of Luminosity Function Evolution Through MCMC Sampling},
author = {Noah Kurinsky and Anna Sajina},
journal= {arXiv preprint arXiv:1407.0903},
year = {2016}
}
Comments
Accepted to the Proceedings of IAU Symposium 306, "Statistical Challenges in 21st Century Cosmology", September 2014. 3 pages, 1 figure