
guv-calcs is an open-source Python scientific computing library for physically based modeling of germicidal ultraviolet (GUV) light in indoor environments, with a focus on far-UVC (200–235 nm) applications. The library provides core numerical tools for representing lamps, spatial geometry, calculation planes and volumes, and exposure metrics such as irradiance, fluence rate, and cumulative dose. The package implements vectorized radiative transfer calculations using measured photometric data (IES/ULD files), supports flexible three-dimensional room geometries, and is designed for integration with higher-level tools such as visualization dashboards, airflow models, and risk frameworks for airborne pathogen control. The codebase emphasizes reproducibility, transparency, and modularity so that researchers, engineers, and manufacturers can inspect, extend, and validate the underlying calculations. guv-calcs forms the computational backbone of the broader Illuminate ecosystem, but is usable as a standalone library for custom analyses, batch simulations, and method development. The project aims to improve rigor and accessibility in far-UVC modeling by providing a free, auditable, and community-maintained alternative to proprietary software.
lighting simulation, airborne transmission mitigation, germicidal ultraviolet, radiosity, photometry, indoor air disinfection, UL8802, far-UV, far-UVC, exposure limits, ASHRAE 241, germicidal UV, GUV, 254 nm, ICNIRP, occupational safety, exposure modeling, infection control, python, scientific computing, radiative transfer, building science, UVGI, 222 nm, numerical computing, ACGIH, photometric data
lighting simulation, airborne transmission mitigation, germicidal ultraviolet, radiosity, photometry, indoor air disinfection, UL8802, far-UV, far-UVC, exposure limits, ASHRAE 241, germicidal UV, GUV, 254 nm, ICNIRP, occupational safety, exposure modeling, infection control, python, scientific computing, radiative transfer, building science, UVGI, 222 nm, numerical computing, ACGIH, photometric data
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