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Detector thickness effects on nanosecond-gated imager response.
Quinn Looker1, Anthony P Colombo1, John L Porter1
1Sandia National Laboratories, Albuquerque, New Mexico 87123, USA.
The Review of Scientific Instruments
|July 10, 2021
Summary
Hybrid CMOS imagers with nanosecond exposure times are crucial for high energy density physics. Detector thickness significantly impacts quantum efficiency and temporal response, with thicker sensors showing charge collection and field collapse effects.
Area of Science:
- * Physics
- * Materials Science
Background:
- * Hybrid CMOS multi-frame imagers with nanosecond exposure times are vital tools in high energy density physics and inertial confinement fusion research.
- * Detector thickness is a critical factor influencing both the quantum efficiency and temporal response of these imaging systems.
Purpose of the Study:
- * To investigate the impact of silicon detector thickness on the performance of hybrid CMOS imagers.
- * To analyze the temporal response of imagers with varying detector thicknesses, down to 2 nanosecond exposure times.
- * To correlate detector thickness with charge carrier collection, field collapse, and spatial response.
Main Methods:
- * Fabrication of Icarus hybrid CMOS imagers with silicon detector thicknesses of 8, 25, and 100 µm.
- * Examination of the temporal response of these imaging sensors with exposure times as short as 2 ns.
- * Comparison of sensor temporal response to directly measured photodiode current.
Main Results:
- * The 100-µm thick silicon detector variant exhibited extended features linked to charge carrier collection.
- * Thicker detector variants were found to be more susceptible to field collapse.
- * Charge collection time was demonstrated to affect the spatial response of the imagers.
Conclusions:
- * Detector thickness is a critical design parameter for hybrid CMOS imagers, influencing temporal and spatial performance.
- * The 100-µm detector thickness presents challenges related to charge collection and field stability.
- * Understanding these thickness-dependent effects is essential for optimizing imager performance in demanding physics applications.

