ANN: EinsteinPy 0.2.0 Released 🚀
It gives me immense pleasure to announce the release of EinsteinPy 0.2.0 🚀
EinsteinPy is an open source pure Python package dedicated to problems arising in General Relativity and gravitational physics, such as geodesics plotting for Schwarzschild, Kerr and Kerr Newman space-time model, calculation of Schwarzschild radius, calculation of Event Horizon and Ergo-sphere for Kerr space-time. Symbolic Manipulations of various tensors like Metric, Riemann, Ricci and Christoffel Symbols is also possible using the library. EinsteinPy also features Hyper-surface Embedding of Schwarzschild space-time, which will soon lead to modelling of Gravitational Lensing! It is released under the MIT license.
You can install it using pip or conda:
pip install einsteinpy
conda install -c conda-forge einsteinpy
This particular release saw a total of 23 contributors out of which 20 contributed in the project for the first ever time, a lots of features and 4 very happy faces!
We got acknowledged for our work by Prof. Abhay Ashtekar!!! We presented EInsteinPy in Astronomy Boot Camp at New Delhi.
I will take this opportunity to thank every contributor who gave their time to this project! I also thank every person who tries to install EinsteinPy, find bugs and report us.
I specially thank European Space Agency for selecting us as a mentor organisation in SOCIS 2019. I thank Debian Astro Team for including EinsteinPy as a package in Debian Buster!
It is worth to note that following students are working on EinsteinPy this summer as part of ESA SOCIS 2019.
1) Sofía Ortín Vela (University of Zaragoza, Spain) - "Extension of the library as a package for symbolic calculations"
2) Varun Singh (Indian Institute of Technology Mandi, India)- "Visual Relativity using EinsteinPy"
3) Chinmay Talegaonkar (Indian Institute of Technology Bombay, India)- "Adaptive Mesh refinement for EinsteinPy"
Also, hopefully EinsteinPy will be presented at Python in Astronomy 2019 at Space Telescope Science Institute, Baltimore, USA.
Full release notes can be read in the documentation:
Please join our chat on Matrix/Riot and feel free to ask any questions you might have:
Prof. Einstein once said: "Life is like riding a bicycle. To keep your balance you must keep moving."
Hence, we will keep moving, keep progressing and work harder for the next release!
Per aspera ad astra!
The EinsteinPy Project
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