lsclib is a python-based repository hosted on GitHub that employs the Monte Carlo ray-tracing method of radiative transport to effectively model LSCs. lsclib hopes to short-circuit the learning curve associated with breaking into the field, and present results in both an academic and commercial context. This repository will continue to become more sophisticated, but for now relies heavily upon the paper submitted for publishing entitled "An open-source Monte Carlo ray-trace simulation tool for luminescent solar concentrators with validation studies employing scattering phosphor films."
Release files for lsclib 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lsclib-0.1.1.tar.gz | 68.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lsclib-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 138.5 kB
Release files / lsclib-0.1.1.tar.gz
| Download URL | lsclib-0.1.1.tar.gz |
|---|---|
| Size | 68.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.1
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Release files / lsclib-0.1.1-py3-none-any.whl
| Download URL | lsclib-0.1.1-py3-none-any.whl |
|---|---|
| Size | 69.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.1
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