Our input catalogues (cosmoDC2/Skysim 5000) do not provide all required magnitudes: g_fib (for ELGs), WISE colours (for LRGs, QSOs), etc. These need to be derived from the input catalogues
Implement a selection of galaxies based on the colour-redshift distribution in the SV data
As previously pointed out by @janewman-pitt-edu this selection method might not be sufficient for the quasar sample, which will require some forward-modelling.
Discreteness effects might be an issue, at least when using cosmoDC2
We want to separate the selection of galaxies with successfully obtained redshift and the selection based on colour because they take different inputs
I started implementing a simple degrader that applies a DESI ELG photometry cuts in: https://github.com/LSSTDESC/rail_attic/blob/BStoelzner/degrader_in_progress/src/rail/creation/degradation/spectroscopic_selections.py At the moment it applies cuts on g,r, and z as given in Raichoor et al. and a selection based on the success rates as a function of colour given in Fig. 18. In order to mock up a realistic sample we've identified the following tasks: