CONAN

COde for exoplaNet ANalysis: Flexible bayesian framework for modeling heterogeeous exoplanet data

Installation

To avoid requirement conflicts with other packages, it is better to create a new environment (or clone a current environment) to install CONAN

To create a new environment:

conda create -n conan_env numpy=2.1.3 python=3.10

or to clone an existing environment with python>=3.10:

conda create -n conan_env --clone my_old_env

then

conda activate conan_env

CONAN can be installed by:

• (1) downloading the source files from github:

git clone https://github.com/tundeakins/CONAN.git
cd CONAN 

then running pip install .

• (2) directly using pip to install from github pip install git+https://github.com/tundeakins/CONAN.git#egg=CONAN

Note that a folder 'src' is created where the CONAN source files are downloaded to before installation.

if having troubles compiling the fortran code used for the transit model, set NO_FORTRAN=True in terminal before pip installing. This uses a python implementation of the fortran code (which is ~30X slower)

export NO_FORTRAN=True
pip install git+https://github.com/tundeakins/CONAN.git#egg=CONAN

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See recent changes in change_log.rst

Fit from config file

Fit can be launched from config file within python or from the command line

• Within python

from CONAN import fit_configfile
result = fit_configfile("input_config.dat", out_folder="output")

• from command line:

conanfit path/to/config_file output_folder 

conanfit -h   # to see the help