Here, we add a processing step in preprocessing.ipynb which reads CMASS_NGC data, applies observational masks, and saves it to our working directory. This conforms to the same data structures as used in the simulation pipeline, so it can be easily loaded into the summaries modules.
Also, a small update to Pk_nbkit.py to make summary calculation cleaner.
Here, we add a processing step in
preprocessing.ipynbwhich reads CMASS_NGC data, applies observational masks, and saves it to our working directory. This conforms to the same data structures as used in the simulation pipeline, so it can be easily loaded into the summaries modules.Also, a small update to
Pk_nbkit.pyto make summary calculation cleaner.