I've added three KiDS-1000 likelihoods for the cosmic shear analysis with COSEBIs, Bandpowers, and 2PCFs (together with a corresponding .param file).
Two remarks:
1) By fiducial analysis uses S_8 as sampling parameter, which is not implemented in MontePython by default. I've left some instructions on how to modify the update_cosmo_arguments function in data.py, so that S_8 is accepted as sampling parameter. Feel free to add this functionality by default if you want.
2) The KiDS data vectors can be found in data/KiDS-1000. I've also included a subfolder weight_functions containing weight functions for COSEBIs. This is not strictly required, because if these files are not present the code will calculate these functions and save them to disk. This calculation usually takes some time, which is is why I provided the files for convenience. However, the files are relatively large (~230 MB) compared to the total size of the MontePython repository. Not sure if that's a problem.
Hi Thejs,
I've added three KiDS-1000 likelihoods for the cosmic shear analysis with COSEBIs, Bandpowers, and 2PCFs (together with a corresponding .param file).
Two remarks: 1) By fiducial analysis uses S_8 as sampling parameter, which is not implemented in MontePython by default. I've left some instructions on how to modify the
update_cosmo_arguments
function indata.py
, so that S_8 is accepted as sampling parameter. Feel free to add this functionality by default if you want. 2) The KiDS data vectors can be found indata/KiDS-1000
. I've also included a subfolderweight_functions
containing weight functions for COSEBIs. This is not strictly required, because if these files are not present the code will calculate these functions and save them to disk. This calculation usually takes some time, which is is why I provided the files for convenience. However, the files are relatively large (~230 MB) compared to the total size of the MontePython repository. Not sure if that's a problem.Best, Benjamin