PhD project computational illumination optics

Updated: 25 days ago
Deadline: 20 Jun 2021

3D phase space ray tracing for the illumination optics industry. 

The department of Mathematics and Computer Science at TU/e is looking for a PhD candidate who is willing to take up the challenge of conducting research in close collaboration with industry. In particular with Signify, world's leader in lighting; see .
You will spend part of your time at Signify

In the lighting industry a revolution took place. Traditional light sources like incandescent, halogen and gas discharge are replaced by light emitting device (LED) technology. This new source technology allows the use of more sophisticated optical solutions. The purpose of this research project is to develop new methodologies to compute optics that will further improve the properties of LED lighting, such as less glare, improved efficiency and new light effects.

Computational Illumination Optics at TU/e
You will be a member of the Computational Illumination Optics group at TU/e. Our research is focused on the development of simulation tools and design methods for advanced optical systems. We work on three different tracks: (i) inverse methods, (ii) improved simulation tools and (iii) optimization methods. This PhD project belongs to the second track. At this moment the group has eight PhD positions.

The Computational Illumination Optics group is part of the Centre for Analysis, Scientific computing and Applications (CASA); see . Its major research objective is to develop new and to improve existing mathematical (both analytical and numerical) methods for a wide range of applications in science and engineering. Extensive collaboration with researchers of the technical departments as well as with industrial partners is vital.

Project description
The standard simulation method for optical systems is ray tracing. In this method, one computes the paths of a large collection of rays, subject to reflections and/or refractions, from source to target. From the distribution of rays in target space one can compute the target distribution. Subsequently, ray tracing has to be included in an iterative procedure to determine the efficient layout of the system given the desired light output. Ray tracing is a rather slow procedure. Employing the phase space representation of the optical system, one can considerably speed up the method. In this representation, each ray intersecting an optical surface is specified by two space and two direction coordinates, thus constituting a four-dimensional phase space. In a previous project we developed phase space ray tracing for two-dimensional (one space and one direction coordinate) model systems, which proved to be much faster than classic ray tracing; see for an impression.

You have to extend the previously developed phase space ray tracing method to more realistic three-dimensional optical systems, characterized by a four-dimensional phase space, include Fresnel reflections, and parallelize the simulation code on a GPU. Finally, the code developed should be used for design optimization.

The project requires good programming skills and offers the possibility for cutting-edge research at the interface of scientific computing and computational illumination optics. Furthermore, it is anticipated that the knowledge and software generated in this project will have a profound impact on optical design within Signify.

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