We present the python version of the software originally developed with Mathematica by Zeng Li (2021). The code represents a very useful tool for visualizing and manipulating data related to extrasolar planets (or exoplanets, i.e., planets discovered in orbit around stars different from the Sun) and their host stars in a multi-dimensional parameter space. Its versatility enables statistical studies based on the large and constantly increasing number of detected exoplanets, to identify possible interdependence among several physical parameters, and to compare observables with theoretical models describing the exoplanet composition and structure. Our transposition to python presents some new utilities with respect to the original version, and due to the popularity of python in the astrophysics community, the tool is made accessible by a larger number of users interested in exoplanet studies. Please, read the documentation for more information.
Anyone is free to use and/or modify their own version of this software for research purposes.
When using the software, please enter the following references:
- for the original version, refer to "https://ui.adsabs.harvard.edu/abs/2021ApJ...923..247Z/abstract";
- for the python version:
- refer to the GitHub page using the following link: "https://github.com/francescoa97outlook/pyExoRaMa";
- refer to this DOI: "doi.org/10.5281/zenodo.5899601";
- tkinter: by default with the python distribution. If not, on Linux, "sudo apt-get install python3-tk"
- ImageTk: "pip3 install pillow" or "sudo apt-get install python3-pil python3-pil.imagetk" on Linux
- Numpy: "pip3 install numpy"
- Pandas: "pip3 install pandas"
- matplotlib: "pip3 install matplotlib"
Once cloned the repository and installed all the required library, you can run the program by executing the Main.oy file.