Introduction to Colorimetry

This course introduces the physiology of human color vision, the common CIE color spaces, color difference metrics and color rendering metrics.
An easy-to-grasp, intuitive visualization of additive color mixing in the common CIE 1931 XYZ color space is explained.
Practical examples of colorimetric computations are presented, interactively with a freeware GUI program, and programmatically, using free, open source Matlab and Python libraries.

Julius's tutorial will concern at least the following TOMs:

• TOM: Adaptive and Freeform Optics 
• TOM: Applications of Optics and Photonics

Visit https://www.jmoptics.de/

About the Speaker

Julius Muschaweck, a German physicist, has been working on optical design for illumination for almost thirty years.
He was co-founder and CEO of OEC, an optical engineering service which pioneered freeform optics for illumination.
Later, at OSRAM, where he held the position of Senior Principal Key Expert, he coordinated the over 100 optical designers within OSRAM world-wide.
He then joined ARRI, the leading movie camera and lamp head maker, as Principal Optical Scientist.
Julius Muschaweck now works as an independent consultant, providing illumination optics solutions to industry clients, teaching courses on illumination optics, and writing about the subject.
He is the author of over 25 scientific papers and the inventor of over 50 patent applications.

Spatial Light Modulators

Spatial Light Modulators (SLM) have become common devices in Optics in Photonics laboratories. They are high-resolution micro-displays useful for displaying reconfigurable intensity, phase or polarization spatial patterns, thus being key components in adaptive optics and programmable diffractive optics. This tutorial will present the fundamentals of SLM technology, their modulation configurations and techniques for their characterization. The tutorial will also cover the design of diffractive optical elements and its realization with SLMs.

The tutorial will include a practical demonstration from the company Holoeye Photonics (Home - HOLOEYE Photonics AG), one of the major suppliers of SLMs.

Ignacio's tutorial will concern at least the following TOMs and Sessions:

• Face2Phase
• TOM: Adaptive and Freeform Optics
• TOM: Applications of Optics and Photonics
• FS: Visual Optics and Imaging

About the Speaker

Ignacio Moreno is Full Professor of Optics at Universidad Miguel Hernández of Elche, where he leads the TecnOpto Lab. He has extensive experience in the field of liquid crystal spatial light modulators, and their application in diffractive optics and polarization optics, being coauthor of more than 180 articles published in peer reviewed journals. He is Fellow member of SPIE and OPTICA. For 10 years he was associate editor of the journal Optical Engineering for the subject of optoelectronic displays, where he leaded two special issues devoted to “Liquid Crystals for Photonics” (2011), and to “Spatial Light Modulators: Devices & Applications” (2019).

Computational Illumination Optics

When it gets dark and we switch on the lights, we want to be surrounded by comfortable light. The light source is typically an LED that is combined with reflectors and lenses to send the light where you want it to be. Given the light distribution of the source and the desired target distribution, what is the optical system (reflector, lens or a combination) that does the job? That is the question we need to answer! 
This field is freeform design and it is used for, e.g., solar energy concentration, car lights, luminaires and street lights. The optical surfaces are referred to as freeform since they do not have any symmetries. To find the optical components there are basically two approaches: direct methods and inverse methods. 
In direct methods an optical component is designed in a CAD tool and the target light distribution is calculated using ray tracing. We follow many rays from the source to the target using the laws of optics (Snell’s law, law of reflection) and determine the light distribution at the target. If the obtained light distribution differs from the desired one, the CAD geometry is adjusted and a new light distribution is calculated. Because of the iterations, this is typically a slow process.
Instead, we treat this as an inverse problem and directly find the shape of the required optical components. A partial differential equation can be derived that describes the shape of the lens or reflector. Our mathematical model is based on the principles of geometrical optics, formulated in terms of the optical map connecting source and target domain, and energy conservation. This leads to a fully nonlinear partial differential equation of Monge-Ampère type. 
In the tutorial we outline how to model optical systems mathematically (Hamiltonian optics, Hamilton’s characteristic functions, reflector and lens equations, optimal transport) and how to compute numerical solutions of the resulting equations (iterative least-squares method for partial differential equations of Monge-Ampère type).

Martijn's tutorial will concern at least the following TOM:

• TOM: Adaptive and Freeform Optics

About the Speaker

Martijn Anthonissen works at Eindhoven University of Technology in the Computational Illumination Optics group. This is one of the few mathematics groups worldwide working on optical design problems from illumination optics. The team has a healthy portfolio of PhD positions and close collaborations with industrial partners. The research focuses on nonimaging freeform optics, imaging optics and improved direct methods.