LightTools 7.3 delivers a variety of new illumination design features in areas such as application-specific design, color quality analysis, LED phosphor modeling, and design management and performance that will help designers work more efficiently, save product development costs and deliver high-performance lighting systems. Following are some of the key new features in this release.
Street Lighting Utility
Tailored for roadway lighting designers, this utility provides fast calculations of street illuminance and luminance levels for standard observer positions for fixtures designed in LightTools or defined in IES files. Supports automatic design optimization to meet industry standards, including surround ratio and average luminance.
Enhanced Color Analysis
LightTools now supports two additional metrics for evaluating a light source’s color rendering performance: Color Quality Scale (CQS) and Gamut Area Index (GAI). These metrics are particularly useful for measuring the color quality of LED sources, and they augment the lighting industry’s primary tool, Color Rendering Index (CRI), for evaluating a light source’s saturation and contrast.
Enhanced Phosphor Modeling
Phosphor modeling enhancements provide flexibility to specify mixture ratios as a percentage by volume or weight. This simplifies the process of determining particle concentration and relating model parameters to laboratory procedures.
Optical Property Manager
The Optical Property Manager simplifies and speeds the process of managing your model’s optical properties. It provides a central location for assigning and changing optical properties throughout a model, as well as for defining defaults applied to new objects. Because of the Optical Property Manager’s central data storage, LightTools models with this feature are smaller and use less memory. This is an important benefit for all models and a significant advantage for large models.
LightTools 7.3 has been enhanced to accelerate operations, especially for large models, and includes 64-bit support that effectively eliminates model size limitations.