xcorr

Light scripts for computing cross-correlations for SO

Requirements:

• NaMaster and pymaster: https://namaster.readthedocs.io/en/latest/pymaster.html
• pixell: https://github.com/simonsobs/pixell (for flat sky computations)
• healpy: https://healpy.readthedocs.io/en/latest (for curved sky computations)
• pyyaml: https://pyyaml.org/wiki/PyYAMLDocumentation (to read input files)
• astropy: https://github.com/astropy/astropy
• sharedmem: [https://pypi.org/project/sharedmem/0.3/] (for multiprocessing via forking rather than pickling)

Installation on cori

Modules loaded in my .bashrc.ext (not sure if they are all needed):

module load cray-fftw/3.3.8.2
module load python/2.7-anaconda-2019.07
module load intel
module load openmpi

Installing namaster and pymaster:

Install NaMaster with conda:

conda install -c conda-forge namaster
conda install -c conda-forge cfitsio=3.430

Install pymaster with pip: pip install pymaster --user

Installing pixell:

Download the repo from https://github.com/simonsobs/pixell, unzip it, cd to its root folder,then:

python setup.py build_ext -i

Add the following line to your .bashrc.ext

export PYTHONPATH=$PYTHONPATH:/path/to/your/copy/of/pixell-master

Installing other needed packages:

conda install pyyaml
conda install astropy
conda install -c conda-forge healpy

How to run the Gaussian simulation code:

• From the xcorr directory, run: python generate_mocks.py --path2config path/to/your/favorite/config.yaml
• Config file example: configs/gg-gdg-dgdg-LSSTxSO-curved.yaml

How to compute Cls:

• From the xcorr directory, run: python compute_cls.py --path2config path/to/your/favorite/config.yaml
• Config file example: configs/cls-dgdg-curved.yaml

Main contributors (in alphabetical order):

• Simone Ferraro (LBNL)
• Alex Krolewski (Waterloo/PI)
• Andrina Nicola (Princeton)
• Emmanuel Schaan (LBNL)