Assessing non-linear models for galaxy clustering – II. Model validation and forecasts for Stage IV surveys
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Oxford University Press
Abstract
Accurate modelling of non-linear scales in galaxy clustering will be crucial for data analysis of Stage IV galaxy surveys. A selection of competing non-linear models must be made based on validation studies. We provide a comprehensive set of forecasts of two different models for the halo redshift space power spectrum, namely the commonly applied TNS model and an effective field theory of large-scale structure (EFTofLSS) inspired model. Using simulation data and a least-χ2 analysis, we determine ranges of validity for the models. We then conduct an exploratory Fisher analysis using the full anisotropic power spectrum to investigate parameter degeneracies. We proceed to perform an MCMC analysis utilizing the monopole, quadrupole, and hexadecapole spectra, with a restricted range of scales for the latter in order to avoid biasing our growth rate, f, constraint.
Description
Keywords
Methods: analytical, Cosmology: theory, Large-scale structure of Universe, Non-linear scales
Citation
Pourtsidou, A. et al. (2020). Assessing non-linear models for galaxy clustering – II. Model validation and forecasts for Stage IV surveys. Monthly Notices of the Royal Astronomical Society, 493(4), 5301–5322