The Computational Illumination Optics group is one of the few mathematics groups worldwide working on mathematical models of optical systems. They develop and analyze numerical methods to solve the resulting differential equations. The team has a healthy portfolio of PhD positions and close collaborations with industrial partners. It consists of four full FTEs at Eindhoven University of Technology and one part-time professor.
The group has three research tracks:
freeform design,
imaging optics and
improved direct methods; for more details see
https://www.win.tue.nl/~martijna/Optics/. The following mathematical disciplines are important in our work: geometrical optics, ray tracing, (numerical) PDEs, transport theory, nonlinear optimization, Lie operators and Hamiltonian systems.
Freeform Design:The goal in freeform design is to compute the shapes of optical surfaces (reflector/lens) that convert a given source distribution, typically LED, into a desired target distribution. The surfaces are referred to as freeform since they do not have any symmetries. The governing equation for these problems is a fully nonlinear PDE of Monge-Ampère type.
Key publication: Anthonissen, M. J. H., Romijn, L. B., ten Thije Boonkkamp, J. H. M., & IJzerman, W. L. (2021).
Unified mathematical framework for a class of fundamental freeform optical systems. Optics Express, 29(20), 31650-31664.
https://doi.org/10.1364/OE.438920Imaging optics: The second research track is imaging, where the goal is to form a very precise image of an object, minimizing aberrations. Light propagation is described in terms of Lie transformations.
Key publication: Barion, A., Anthonissen, M. J. H., ten Thije Boonkkamp, J. H. M., & IJzerman, W. L. (2022).
Alternative computation of the Seidel aberration coefficients using the Lie algebraic method. Journal of the Optical Society of America A, Optics, Image Science and Vision, 39(9), 1603-1615.
https://doi.org/10.1364/JOSAA.465900.
Improved direct methods: Direct methods, such as ray tracing, compute the target distribution given the source distribution and the layout of the optical system. These methods must be embedded in an iterative procedure to compute the final design and are based on Monte-Carlo simulation. They are known to have slow convergence. Using the Hamiltonian structure of the system and advanced numerical schemes for PDEs, we are working on more efficient and accurate methods.
Key publication: van Gestel, R. A. M., Anthonissen, M. J. H., ten Thije Boonkkamp, J. H. M., & IJzerman, W. L. (2021).
An energy conservative hp-method for Liouville's equation of geometrical optics. Journal of Scientific Computing, 89, [27].
https://doi.org/10.1007/s10915-021-01612-xPhD vacanciesAs part of the research program
Optical coherence; optimal delivery and positioning (OPTIC) we focus on the computational modeling aspects and offer three PhD projects:
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OPTIC1 Finite-source Monge-Ampère
For an ideal source — point source or perfect parallel beam — it is known how to directly compute the freeform surfaces that convert a given light distribution at the source into a required target distribution. In applications where a real source does not match these ideals, an iterative procedure is needed to consider the finite extent of the source. In this project we aim to directly compute optical surfaces for finite sources
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OPTIC2 Multi-beam freeform
For ideal sources and light rays that follow a single path from light source to target screen, we know how to compute the required freeform surfaces (lenses or reflectors).
In this project we will develop a Monge-Ampère-based algorithm to design 3D optical systems where light beams can be split and rays may follow different paths. This is important for applications as it may lead to more compact designs
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OPTIC3 Surface scattering with 3D Monge-Ampère
For ideal sources and ideal optical surfaces (perfect lens or perfect mirror) we can solve the Monge-Ampère equation to find the shapes of the surfaces. Scattering elements send light rays in multiple directions and can be used to reduce glare in optical systems. However, current design methods that include scattering use a slow iterative process.
In this project we will develop fast direct design methods for 3D optical systems with scattering surfaces