getting_started.ipynb
: getting started on NERSC
desi_plots.ipynb
: some basic DESI plots and hopefully some helpful info
In each folder of SV3, DA0.2:
bright_cat.ipynb
: collection of plots looking into the properties of each samplek+e_vol_lim.ipynb
: using k+e corrections to define volume-limited samples used for clustering.
clustering_plots.ipynb
: description of how to run clustering code xirunpc.py
(may be out of date), collection of clustering plots for both SV3 and DA0.2
making_catalogues.ipynb
: description of how to set up & use mkCat_main.py
(may be out of date)
plotting.py
: makes histograms from stepwise into nice curves
vol_lim_samples.py
: functions for defining volume-limited samples
copy of my version of xirunpc.py
- original found at https://github.com/desihub/LSS/blob/main/scripts/xirunpc.py - I have made additions to allow cutting to volume-limited samples and splitting into colour (needs to be placed in the appropriate location in LSS directory to run)
copy of my version of mkCat_main.py
- original found at https://github.com/desihub/LSS/blob/main/scripts/main/mkCat_main.py - edited by Sam and myself to work with the version of k-correction code at the time (propbably now out of date?) (needs to be placed in the appropriate location in LSS directory to run)