Metadata-Version: 2.1
Name: lsclib
Version: 0.0.2
Summary: Library for evaluating the performance of LSCs
Home-page: https://github.com/duncanesmith/lsclib
Author: Duncan E. Smith
Author-email: smithd24@rpi.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown


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."


