TRADES: TRAnsits and Dynamics of Exoplanetary Systems
I have developed a computer program for determining the possible physical and dynamical configurations of extra-solar planetary systems from observational data.
TRADES models the dynamics of multiple planet systems and reproduces the observed transit times (T0s, or mid-transit times), full transit durations (T14 or T41), and radial velocities (RVs). These T0s and RVs are computed during the integration of the planetary orbits.

Download and compile fortran90 and python libraries:

git clone https://github.com/lucaborsato/trades.git
cd trades/src
make cleanall
make full_parallel_release

I suggest to create an anaconda environment, install all the dependencies and then do make full_parallel_release.
WARNING: not working with python>=3.11s and numpy>=1.26 due to deprecated distutils for f2py, now using meson.
SUGGESTION: conda create --name trades_env python=3.10 numpy=1.23.5 and other packages should be installed properly.

Possible way to create an environment and install all dependencies:

create env with python and numpy and matplotlib conda create --name trades_env python=3.10 numpy=1.23.5 matplotlib
activate env
conda activate trades_env
optional cython:
conda install cython
install h5py, pyyaml, tqdm, emcee, scipy, pandas, pygtc:

conda install h5py
pip install pyyaml
conda install -c conda-forge tqdm or pip install tqdm
pip install corner conda install -c conda-forge emcee
conda install pandas or conda install -c conda-forge pandas
conda install scipy or conda install -c conda-forge scipy
conda install -c conda-forge astropy
conda install -c conda-forge pygtc

some packages needs celerite:
conda install -c conda-forge pybind11
conda install -c conda-forge celerite

for photo-dynamical approach it is needed to install pytransit:
conda install numba cudatoolkit
pip install semantic-version
conda install -c conda-forge arviz
git clone https://github.com/hpparvi/PyTransit.git
cd PyTransit
python setup.py install

Still not fully tested and in development, dynesty and ultranest:
pip install dynesty conda install -c conda-forge ultranest
(could use mpi4py, I was not able to install it)

To use with python as it would be in PyORBIT see notebook import_trades_for_python in trades_example/python_examples/.
In this way you will integrates the orbits of the planets and it will return the Radial Velocities (RVs) if present, and the Transit Times (T0s), if present, with the Transit Durations (T14s) and the orbital elements at each T0s.
Currently, TRADES is ready to be used as a photo-dynamical (photoTRADES) code, the example, as python notebook, is still in development.

To use as it was initially intended you can:

1. copy a folder in trades_example based on the number of planets (i.e. 2p for 2, 3 for 3p, and so on). The base_2p_grid is a version for the old Fortran grid version.
2. copy inside the folder, if not present, the configuration.yml and adapt the run section, change PyDE and emcee sections etc (ultranest and dynesty in development, not fully tested).
3. from terminal type:

python /path/to/pytrades/trades_emcee.py --input configuration.yml

4. after it finished you have to modify the analysis, OC and RV sections of the configuration.yml file and you will have the analysis results with

python /path/to/pytrades/trades_emcee_analysis.py --input configuration.yml

You can look at the trades_emcee_analysis.py to learn how to use the different part of pytrades and there are a few other notebooks to plot PyDE run, emcee chains, RV and OCs.

TRADES v2.20.0 by Luca Borsato - 2016-2023

TRADES v2.19.0 by Luca Borsato - 2016-2023

Long README and description in README_long.