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Monday, August 31 • 4:30pm - 5:00pm
Generating High-Fidelity Luminance Distribution Patterns from Low-Fidelity Measurement Data

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Python simulations were created to determine the luminance uniformity metric values of a generated luminance map. Following that, luminance spot measurement masks were applied and analyzed to determine how it affects the metrics. Lastly, 2-D interpolation techniques were used in an attempt to recreate the original image along with its uniformity information. These simulations were performed with the aim to better understand which techniques could be used to obtain luminance uniformity metric information from a luminaire.

Speakers
avatar for Eduardo Rodriguez-feo Bermudez

Eduardo Rodriguez-feo Bermudez

Research Associate, Pacific Northwest National Laboratory
Eduardo Rodriguez-Feo Bermudez received his Master of Science in Applied Physics. As a member of the Michigan Tech Cloud Chamber group, he was able to perform optics-based experiments for different types of cloud properties and atmospheric conditions. Additionally, through the Naval... Read More →


Monday August 31, 2020 4:30pm - 5:00pm EDT
TBA