The modulation transfer function model optimization of image intensifier tube based on multialkali photocathode

Yanni Gong; Jinneng Zeng; Yaobin Li; Yijin Wang; Junkun Huang; Qionglian Yang

doi:10.1117/12.3016501

30 April 2024 The modulation transfer function model optimization of image intensifier tube based on multialkali photocathode

Yanni Gong, Jinneng Zeng, Yaobin Li, Yijin Wang, Junkun Huang, Qionglian Yang

Author Affiliations +

Proceedings Volume 13154, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Detector Technologies; 131540A (2024) https://doi.org/10.1117/12.3016501
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

In order to improve the calculation accuracy of multialkali photocathode image intensifier’s modulation transfer function, base on the modulation transfer function model of proximity focusing structure. Collecting the modulation transfer function data of image intensifiers that having different cathode types, different cathode materials’ escape equivalent initial potential of photoelectron how to affect modulation transfer function is explored. The modulation transfer function model is optimized on the strength of cathode material characteristic parameter. The results show that in view of the difference between the cathode material characteristic parameters, the SSE between the calculated value of modulation transfer function optimized model and the measured value is less than 6, especially in the high spatial frequency region. The results have theoretical significance for further improving the resolution of high performance image intensifier.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanni Gong, Jinneng Zeng, Yaobin Li, Yijin Wang, Junkun Huang, and Qionglian Yang "The modulation transfer function model optimization of image intensifier tube based on multialkali photocathode", Proc. SPIE 13154, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Detector Technologies, 131540A (30 April 2024); https://doi.org/10.1117/12.3016501

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