Assessing machine learning solutions for high-speed data analysis and imaging for a single photon timing detector with 60 ps single photon timing per channel

A. Markfort; A. Baranov; T. M. Conneely; A. Duran; J. Milnes; A. Mudrov; J. Lapington; I. Tyukin

doi:10.1117/12.2607711

2 March 2022 Assessing machine learning solutions for high-speed data analysis and imaging for a single photon timing detector with 60 ps single photon timing per channel

A. Markfort, A. Baranov, T. M. Conneely, A. Duran, J. Milnes, A. Mudrov, J. Lapington, I. Tyukin

Author Affiliations +

Proceedings Volume 12019, AI and Optical Data Sciences III; 1201908 (2022) https://doi.org/10.1117/12.2607711
Event: SPIE OPTO, 2022, San Francisco, California, United States

Abstract

Currently new applications for single photon imaging detectors, are challenging algorithmic signal processing approaches due to increasing photon event rates. This research explores a potential solution of machine learning (ML) algorithms for data analysis and imaging with single photon timing detectors with 16 ×16 pixels and 60 ps timing resolution. This novel ML approach will accelerate the data processing pipeline, which must process huge volumes of data, up to 10 Gbps per detector, with hundreds of detectors in certain applications. The ML model processes the photon detector output, applying spatial/temporal clustering to improve the photon detector spatial resolution with a time constraint of 10 µs.

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A. Markfort, A. Baranov, T. M. Conneely, A. Duran, J. Milnes, A. Mudrov, J. Lapington, and I. Tyukin "Assessing machine learning solutions for high-speed data analysis and imaging for a single photon timing detector with 60 ps single photon timing per channel", Proc. SPIE 12019, AI and Optical Data Sciences III, 1201908 (2 March 2022); https://doi.org/10.1117/12.2607711

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