Skip to content

chunliangmu/clmuphantomlib

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

clmuphantomlib

A python library for analyzing Phantom SPH data using Sarracen

Meta

Author: Chunliang Mu

Requrie python 3.10+ (since I am using the | operator for type hints)

This library is written by me for my PhD project:

Project20230125: Radiative Transfer (RT) in Common Envelope Evolution (CEE)

Creator: Chunliang Mu (PhD student at Macquarie University 2023-2026(expected))

Principal Supervisor: Professor Orsola De Marco

Associate Supervisor: Professor Mark Wardle

There are some examples in the examples/ folder for running the code. They are directly copied from my scripts on 2024-05-10, and you may want to change the input parameters (the *__input.py file and the _*.py files) and put them into the src/ directory (or alternatively put a symbolic link in the examples/ directory to src/clmuphantomlib, so the package can be loaded correctly) before using them. See https://github.com/chunliangmu/RTinCEE-scripts-2024 for all of my scripts using this library in 2024 so far.

Have fun!

Disclaimer

This project is a work in progress. No guarrantees whatsoever. Use it at your own risk.

Note: Please cite the sarracen paper if you use this code (see below link for the sarracen repository description), since this code uses sarracen behind the scene.

Dependencies

  • Python libraries:
    • python3 (version >= 3.10)
    • numpy scipy astropy h5py numba matplotlib ipympl moviepy
    • sarracen

( I think that's all. If that doesn't work, try install all of those with anaconda: numpy scipy astropy sympy h5py numba pandas seaborn matplotlib ipympl ipynbname pylint moviepy jupyter jupyterlab and then install sarracen with pip. )

Externel files

Useful links