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Theoretical models derived from analytical calculations and/or numerical simulations form the basis of our lab's efforts on data analysis. These models need to be able to accurately predict the cosmological observables that are extracted from the data including their statistical and systematics uncertainties.
Broadly speaking our efforts can be structured into several main research areas:
- Develop accurate models for cosmological observables as a function of cosmological parameters, that go beyond the standard cosmological models and consider novel physics ideas, e.g. growth geometry split, modified gravity, early and late dark energy.
- Develop accurate models for cosmological observables as a function of systematic uncertainties, which includes astrophysical systematics (e.g., galaxy-halo connection, galaxy intrinsic alignment, baryonic feedback and cooling processes, cluster mass observable relation, etc.) and observational systematics (e.g., shape and redshift measurement uncertainties, masking effects, etc.).
- Develop accurate models for multiple cosmological probes to be included consistently in a joint analysis. Our focus here is to combine observables from optical and near-infrared galaxy surveys and CMB primary and secondary observables.
- Develop accurate models for statistical uncertainties and correlations of data points, most frequently encoded in a covariance matrix.
We have developed a variety of codes and analysis frameworks and are actively expanding these code bases for the analysis of future datasets. Learn more about our software frameworks here...