We are currently using SimBIG-like wide HOD priors. However, there are lot of unphysical prior regions, affecting our sampling efficiency. We can be smarter about how we constrain these HOD priors.
Things to look into:
[ ] Constrain HOD priors from the real observational P(k), marginalizing over cosmology
[ ] Fix cosmology, and compare HOD parameters against Patchy mocks to set HOD priors
Also, it is unclear whether we need to take into account HOD redshift dependence. Things to consider:
[ ] Check MTNG, Abacus papers on HOD constraints for impact of HOD redshift dependence.
[ ] Do HOD inference on multiple slices of real data. See how much HOD constraints change. This
We are currently using SimBIG-like wide HOD priors. However, there are lot of unphysical prior regions, affecting our sampling efficiency. We can be smarter about how we constrain these HOD priors.
Things to look into:
Also, it is unclear whether we need to take into account HOD redshift dependence. Things to consider: