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self-shading.\n\n## Documentation\nThe documentation can be found at [readthedocs](https://twoaxistracking.readthedocs.io/).\n\n## Installation and dependencies\nThe package can be installed using pip:\n\n    pip install twoaxistracking\n\n## Citing\nIf you use the package in published work, please cite:\n\u003e Adam R. Jensen, Ioannis Sifnaios, and Kevin Anderson. \"twoaxistracking – a python package for simulating\n\u003e self-shading of two-axis tracking solar collectors.\" MethodsX, 9, 101876, (2022).\n\u003e [https://doi.org/10.1016/j.mex.2022.101876](https://doi.org/10.1016/j.mex.2022.101876)\n\nand\n\n\u003e Adam R. Jensen, Ioannis Sifnaios, Simon Furbo, and Janne Dragsted. \"Self-shading of two-axis\n\u003e tracking solar collectors: Impact of field layout, latitude, and aperture shape.\" Solar\n\u003e Energy, 236, 215–224, (2022). [https://doi.org/10.1016/j.solener.2022.02.023](https://doi.org/10.1016/j.solener.2022.02.023)\n\n## Contributing\nContributions to the repository, e.g., bug fixes and improvements to speed up the code are more than welcome.\n\n## License\n[BSD 3-clause](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpvlib%2Ftwoaxistracking","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpvlib%2Ftwoaxistracking","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpvlib%2Ftwoaxistracking/lists"}