After shapepipe and sp_validation runs on image simulations, we want to perform some tests and diagnostics. Some are already implemented in cosmo_val, e.g. plots of the ellipticity distribution, footprint, additive bias computation, etc. How can we re-use the cosmo_val structure and classes? We have potentially many different output catalogues (e.g. 1<d>2<d>_<type>_<idx> with d=p, m, z (+,- or no shear); type=grid and random, idx a running number). Think about how to implement this, with or without the underlying yaml config.
After shapepipe and sp_validation runs on image simulations, we want to perform some tests and diagnostics. Some are already implemented in cosmo_val, e.g. plots of the ellipticity distribution, footprint, additive bias computation, etc. How can we re-use the cosmo_val structure and classes? We have potentially many different output catalogues (e.g.
1<d>2<d>_<type>_<idx>with d=p, m, z (+,- or no shear); type=grid and random, idx a running number). Think about how to implement this, with or without the underlying yaml config.