Euclid relative calibration from uber-cal simulation (reference paper: https://arxiv.org/abs/1606.07061)
Copyright (C) 2015 Will Percival & Dida Markovic
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The ubercal/README.bsh script compiles and runs all the code. Sometimes this might not work, so try copy-pasting the commands form the README.bsh script into the command line and running them manually. Before you do that however, you should install Mangle (GitHub version: https://github.com/mollyswanson/mangle) by following the instructions. Place the 'mangle' folder into the main folder of the repo so the rest of the code can find it and so that git can ignore it nicely. Note that Mangle uses Fortran, so... good luck to you!
On my Mac, I use Conda environments to get everything in one place (https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html).
Then configure the Mangle Makefile and uncomment "STATICFLAGS:= -static-libgfortran" (l.15, I think), and comment the following line.
Then compile Mangle with 'make static'.
The survey and instrument specifications have been taken from the NISP page on the Euclid Consortium website, the Euclid Redbook and the Prieto et al., end of Phase B1 study.
If you have access to the Euclid Redmine, you can read a basic description of this on the Euclid Redmine.
The original Ubercal paper is the Padmanabhan et al, 2007, however, our algorithm is even simpler, since we are doing only simulations.
Then there is the Holmes et al, 2012, which has the code on GitHub. Again, this is more complex than our algorithm, because it mainly focuses on constraining the variation in the flat-field across a detector.