conan-exoplanet 3.3.9

COde for exoplaNet ANalysis

CONAN

COde for exoplaNet ANalysis: A flexible bayesian framework for modeling heterogeneous 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 python=3.10

then

conda activate conan_env

CONAN can be installed using different methods:

• (1) Installing from PyPI:

  pip install conan-exoplanet
  

or

• (2) Downloading the source files from github:

  git clone https://github.com/titans-ge/CONAN.git
  cd CONAN 
  

  then running

  pip install .
  

or

• (3) directly using pip to install from github

  pip install git+https://github.com/titans-ge/CONAN.git
  

  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/titans-ge/CONAN.git

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See recent changes in change_log.rst

Fit from config file

Fit can be launched from a 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 
  

  to see commandline help use:

  conanfit -h