act-dr6-mflike 0.9.0

ACT DR6 multi-frequency likelihood for cobaya

An external likelihood using cobaya.

Installing the code

If you do not plan to dig into the code, you can simply install the code with the following command

python -m pip install act_dr6_mflike [--user]

Otherwise, you first need to clone this repository to some location

git clone https://github.com/ACTCollaboration/act_dr6_mflike.git /where/to/clone

Then you can install the act_dr6_mflike likelihood and its dependencies via

python -m pip install -e /where/to/clone

Installing ACT DR6 data

To install ACT D6 data, the easiest way is to use the cobaya-install binary and let it do the installation job. For instance, if you do the next command

cobaya-install /where/to/clone/examples/act_dr6_example.yaml -p /where/to/put/packages

data and code such as CAMB will be downloaded and installed within the /where/to/put/packages directory. For more details, you can have a look to cobaya documentation.

Running/testing the code

You can test the act_dr6_mflike likelihood (you will need CosmoRec to be installed and camb aware of it, see installation instructions) by doing

cobaya-run /where/to/clone/examples/act_dr6_example.yaml -p /where/to/put/packages

which should run a MCMC sampler for ACT DR6 official data file (i.e. dr6_data.fits in the act_dr6_example.yaml file) using the combination of TT, TE and EE spectra (i.e. polarizations: ['TT', 'TE', 'ET', 'EE']). The results will be stored in the chains/mcmc directory.