In this directory we take the large area catalogues from DMU5 and compute photometric redshifts. At this stage this is to test performance.
We are now experimenting with the LePahre c++ implementation:
https://gitlab.lam.fr/Galaxies/LEPHARE
As a first pass we are using the method of Duncan et al 2017,2018. The code is available here:
https://github.com/dunkenj/eazy-pype
It is a modifcation of the EaZY code. The code there was originally optimized for the same XMM-LSS field with the same underlying data albeit with additional bands.
There is a notebook in each survey folder which creates the input catalogues, filter curve files, and config files in the data folder. The eazy pype code available here:
https://github.com/dunkenj/eazy-pype/
Should then be run with
pythonw eazy-pype.py -p params.pyWhere that params file points to the correct working directory here and input table name.
See the example params file ./dmu6_VIDEO/sxds_params.py