CURRENT EXAMPLES

Computational Photonics
Find out how computational photonics models can help to understand the impact factors governing photonic systems and applications and can hence be used to explore new application designs. The necessary computations can range from "backof the envelope" calculations to comprehensive simulation models. We are using Microsoft Excel to study photonics problems and to design, analyze, and optimize photonics applications.
Below we show some typical results obtained with Excel based computational models.

FDTD Pulse Propagation
This animation shows the propagation of an electromagnetic pulse across a dielectric boundary. It can be clearly seen that part of the pulse is reflected at the boundary, whereas a pulse with reduced amplitude propagates with lower propagation velocity in the medium with higher dielectric constant. The simulation was performed with a 1DFDTD algorithm implemented in Excel (click title to view).

Schrödinger's Equation
This animation visualizes the evolution of the wave function of a particle confined in a 2Dpotential well. Shown is the square of the wavefunction, which  according to the Copenhagen interpretation  reflects the probability of finding the quantum system in a certain position at a certain time. It is demonstrated how the wavefunction is reflected at the potential well in ydirection and confined in xdirection. The 2Dmodel was implemented in Excel as a finite difference model by using the builtin complex functions (click title to view).

Monte Carlo Scattering
This is the representation of light propagation in a turbid medium. Light enters the medium from the left and changes its propagation direction due to scattering or is lost by absorption. The light propagation is modelled by a socalled Monte Carlo simulation, which simulates scattering and absorption by random processes mimicking the scattering and absorption probabilities quantified by the respective mean free paths. Greyscale images can be used to visualize the scattering event densities in the medium (click title to view).

FabryPérot Pressure Sensor
The animation shows the response of a FabryPérot (FP) sensor. The FPcavity is comprised of a fixed and a deformable mirror that gives rise to a changing gap width as a function of pressure. This changes the spectral response of the FPcavity, which modulates the spectrum of a whitelight source. If this modulated light is probed by e.g. a Michelsoninterferometer, the pressure dependent gap in the FPcavity and hence the pressure can be retrieved. The animation shows the sensor gap, the FPspectrum and the interferometer response (click title to view).