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pspecmodel is intended to serve as an interface between data measurements stored in uvpspec objects (and assumptions about their likelihoods) and theoretical models.
To start, we should decide what sorts of information a pspecmodel class stores. We know for sure that we want some kind of function that, takes in the window-functions, delays, and covariance matrices of a uvpspec object and combines these with a modeling function that takes in theoretical and nuisance parameters, their priors, and a theoretical model that computes the theoretical model at the k-values in the data, applies the data window function matrix to the theoretical power spectrum values, and computes a likelihood of the measurement given the window functions, data covariance, and theoretical / nuisance params.
The text was updated successfully, but these errors were encountered:
pspecmodel
is intended to serve as an interface between data measurements stored inuvpspec
objects (and assumptions about their likelihoods) and theoretical models.To start, we should decide what sorts of information a
pspecmodel
class stores. We know for sure that we want some kind of function that, takes in the window-functions, delays, and covariance matrices of a uvpspec object and combines these with a modeling function that takes in theoretical and nuisance parameters, their priors, and a theoretical model that computes the theoretical model at the k-values in the data, applies the data window function matrix to the theoretical power spectrum values, and computes a likelihood of the measurement given the window functions, data covariance, and theoretical / nuisance params.The text was updated successfully, but these errors were encountered: