Pytesimal

Pytesimal models the conductive cooling of planetesimals with temperature-dependent material properties.

Pytesimal is a finite difference code to perform numerical models of a conductively cooling planetesimal, both with constant and temperature-dependent properties. It returns a thermal history of the planetesimal, and contains modules to estimate the timing and depth of pallasite meteorite genesis.

Features

• Constant or variable material properties
• Choose to return compressed .npz NumPy arrays of temperature and cooling rates through time and radius
• Plot temperature or cooling rate heatmaps
• Return timing of core solidification, and depth and timing of meteorite formation
• Return a parameter .json file with details of input parameters and results

Installation

This software relies on python (version 3.6 and up) and various other python packages. Examples are distributed as Jupyter notebooks, which need Jupyter and Matplotlib to run. Installation and management of all these dependencies is most easily done in a conda environment.

conda create -n=pytesimal python=3.8 jupyter
conda activate pytesimal    
pip install pytesimal

Installation for development

The package can be downloaded and installed directly from Github for the most recent version. The software and its dependencies are best installed in a virtual environment of your choice. Download of the software and creation of an isolated conda environment can be done by running:

git clone https://github.com/murphyqm/pytesimal.git
cd pytesimal
conda create -n=pytesimal python=3.8 jupyter
conda activate pytesimal
pip install -e .

The -e flag installs the package in editable mode so that any changes to modules can be carried through.

Getting started

Open up some examples on Binder or download some examples from our gallery here.

Contribute

• Issue Tracker: github.com/murphyqm/pytesimal/issue
• Source Code: github.com/murphyqm/pytesimal

Support

If you are having issues, please let us know. You can email us at eememq@leeds.ac.uk

License

The project is licensed under the MIT license.