Repository used to coordinate different Lyman-alpha data challenges.
We will start by a data challenge on P1D emulators, with the idea of extending it to P3D and bispectra emulators. Other future ideas include data challenges related to estimator of power spectra / correlation functions and BAO fitters.
Modules required:
- numpy
- pylab
- matplotlib
- decimal
Main parts:
- ResultsP1D: compilation of published P1D measurements, and simple objects to read them.
- TheoryP1D: compilation of P1D theories, used to generate mocks.
- MockP1D: code to make mock P1D measurements using a given covariance matrix.
- Examples: short python code to make plots and mocks.