Speaker
Description
MÖNCH is a charge-integrating hybrid pixel detector with a 25 µm pitch. The charge information collected by individual pixel makes is possible to enhance the detector’s spatial resolution under low flux condiftions, either using conventional interpolation or novel machine learning approaches. For this a thorough understanding of the charge transport is essential, especially for machine learning where training samples can be easily obtained using simulation. However, discrepancies between simulation and experimental measurements—particularly in the spectral response of individual pixels—were observed, posing challenges for simulation optimizations.
To address these issues, new simulation methods have been developed based on charge carrier dynamics including charge repulsion. We implemented both a simplified spherical model and a GPU-accelerated model simulating individual charge carriers. Significant improvements were obtained by comparing these simulations with carefully calibrated X-ray measurements. We also present a parameterization of the model, potentially suitable for integration in Allpix Squared.
| Will the talk be given in person or remotely? | In person |
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