Including parameter dependence in the data and covariance for cosmological inference

Understand

The final step of most large-scale structure analyses involves the comparison of power spectra or correlation functions to theoretical models.

• It is clear that the theoretical models have parameter dependence, but frequently the measurements and the covariance matrix depend upon some of the parameters as well.
• We show that a very simple interpolation scheme from an unstructured mesh allows for an efficient way to include this parameter dependence self-consistently in the analysis at modest computational expense.
• We describe two schemes for covariance matrices.