π   π

Mathematical Tools To Speedup and Improve Analyses

1. Shotnoise transfer curve, first proposed by Janesick (Optical Engineering 1987) . Recently adapted to extract the relation between the number of carriers in the pixel versus output code. Helps in determining linearity, digitization errors caused by ADC, LVDS interconnect errors. The algorithm is based on grabbing a sequence of 3 images.
2. FFT as a simple means to measure the noise. One does not need an  Rhode&Swartz apparatus just an oscilloscope, which often is available in the labo, is enough.
3. FFT as a simple means to measure MTF. Using either a tilted SLIT, block frequency sweep, sine frequency sweep. Even a leaking pixel as Dirac impulse can be used.
4. 2-dimensional histogram to analyze dependencies (e.g. temperature, voltage supply of the pixel) on a pixel-by-pixel basis. The method is based on grabbing two images: one before and the other after the single event experiment. The pixel amplitude is used as coordinate on the x-axis (image before) and on the y-axis (image after) with pixel position as parameter. Specially the binarized version is very powerful. 
5. Application of transmission line theory to calculate clock distribution for CCD imagers. It is a simple and powerful tool and can be done in closed form. In combination with a Network analyzer one can judge the edges of performance without even having to build a full application.

NERO: Nederlandse vereniging voor Experimenteel Raket Onderzoek

Dutch association for experimental rocket research

Radio Ham, mainly intended for legal communication experiments between rockets and ground station.

Young Scientist and Inventors

Member of user commitee

Ad hoc reviewer