Probability distribution maps of deposited energy with sub-pixel resolution for Timepix3 detectors

AbstraktAbstract

The Medipix3 Collaboration has developed the Timepix3 chip, which can provide information about individual particles interacting with a hybrid pixelated semiconductor detector. The Timepix3 generates a data packet including time and energy information for each pixel receiving a charge above the discriminator threshold. From a set of such packages generated by one particle the total deposited energy and the sub -pixel center of mass (c.m) position of the interaction can be calculated. However, sub -threshold losses will distort both the measured energy and c.m calculation. This work aims to generate probability maps for the most probable initial interaction position and energy for a given detected cluster. The correction maps were calculated for different energies and sub -pixel c.m positions. It is crucial to realistically simulate the front-end response of the Timepix3 detector to be able to match and understand the experimental data and generate accurate probability maps. The correction maps from the simulations using the simulation tool All pix2 are applied to experimental data utilizing an Am -241 source to irradiate a Minipix Timepix3, leading to sub -pixel resolution and improved energy resolution for Timepix3 detectors.

The Medipix3 Collaboration has developed the Timepix3 chip, which can provide information about individual particles interacting with a hybrid pixelated semiconductor detector. The Timepix3 generates a data packet including time and energy information for each pixel receiving a charge above the discriminator threshold. From a set of such packages generated by one particle the total deposited energy and the sub -pixel center of mass (c.m) position of the interaction can be calculated. However, sub -threshold losses will distort both the measured energy and c.m calculation. This work aims to generate probability maps for the most probable initial interaction position and energy for a given detected cluster. The correction maps were calculated for different energies and sub -pixel c.m positions. It is crucial to realistically simulate the front-end response of the Timepix3 detector to be able to match and understand the experimental data and generate accurate probability maps. The correction maps from the simulations using the simulation tool All pix2 are applied to experimental data utilizing an Am -241 source to irradiate a Minipix Timepix3, leading to sub -pixel resolution and improved energy resolution for Timepix3 detectors.