This is a Cobaya likelihood based on the original Fortran code presented in Choi et al. 2020 and Aiola et al. 2020.
The first step is to clone this repository to some location
$ git clone https://github.com/umbnat92/ACTMFLike.git /where/to/clone
Then we can install this likelihood and its dependencies via
$ pip install -e /where/to/clone
To install the likelihood and all required code, such as CAMB, you can use the next command
$ cobaya-install /where/to/clone/examples/MFLikeACT_example.yaml -p /where/to/put/packages
At this stage you can modify the path of dataset (including foregrounds) inside the MFLikeACT_example.yaml file. The data are available at this page.
You can run the actmflike likelihood by doing
$ cobaya-run /where/to/clone/examples/MFLikeACT_example.yaml -p /where/to/put/packages
This code was made by Umberto Natale and use the python transcription of the original Fortran code made by Hidde Jense. The code that calculate the log-likelihood for an ACT foreground model is available here.