31 August 2026 to 4 September 2026
Queen Mary University of London, London, UK
Europe/London timezone

Characterisation of Fully Depleted CMOS Monolithic Active Pixel Sensors for X-ray Imaging Applications

Not scheduled
20m
Mile End Campus: Graduate Centre Foyer and Peston Lecture Theatre (Queen Mary University of London, London, UK)

Mile End Campus: Graduate Centre Foyer and Peston Lecture Theatre

Queen Mary University of London, London, UK

Poster X-ray & Gamma Ray Detectors

Speaker

Mr Sami Ullah Khan (University of Padua & INFN Turin)

Description

Fully depleted CMOS monolithic active pixel sensors represent a promising technology for compact, low-power and high-resolution X-ray imaging systems, with potential applications in space instrumentation and medical imaging. In this work, we present the characterisation of ARCADIA CMOS pixel sensors developed in a 110 nm CMOS imaging technology, with emphasis on their electrical, readout and X-ray detection performance.

The investigated devices are based on a high-resistivity n-type active substrate and are designed to allow depletion from the backside through a dedicated backside implant. Measurements were performed on ARCADIA MD3 sensor assemblies using laboratory X-ray sources and a dedicated DAQ system based on front-end electronics and FPGA readout. The study includes sensor biasing, leakage current measurements, threshold optimisation, hit-map studies, cluster analysis and X-ray response measurements using characteristic X-ray lines.

The results show stable sensor operation under reverse bias, low-power readout performance and clear X-ray detection capability. Two-dimensional hit maps and cluster observables are used to evaluate the spatial response and charge-sharing behaviour of the sensor. The measurements provide useful input for the optimisation of thick fully depleted CMOS sensors and their possible use in advanced X-ray imaging techniques, including applications where high spatial resolution, low material budget and scalable monolithic integration are required.

Preferred contribution type: Poster
Relevant track: Advances in Pixel Detectors & Integration Technologies

Author

Mr Sami Ullah Khan (University of Padua & INFN Turin)

Co-author

Presentation materials

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