Investigating microchannel plate PMTs with TOFPET2 multichannel picosecond timing electronics

Lapington, J. S.; Leach, S.A.; Sudjai, Thawatchai; Milnes, J.; Conneely, T.; Duran, Ayse; Hink, Paul

doi:10.1016/j.nima.2019.162758

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…The TOFPET2 [4][5][6] electronic system evaluated here is well-matched to a pixellated readout geometry. Initial testing with a TOFPET2 ASIC in single photon-counting mode has already achieved a coincidence timing resolution of ∼150 ps FWHM [7]. The latest TOFPET2 ASIC v2d was designed to collect either negative or positive signals and here we test this version using electronic stim signals and MCP output signal as described below.…”

Section: Tofpetasic V2d With Microchannel Plate Pmtsmentioning

confidence: 99%

Picosecond imaging at high spatial resolution using TOFPET2 AISC v2d and microchannel plate detector

Sudjai¹,

Lapington²,

Leach³

2022

J. Inst.

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Microchannel plate-based detectors provide advantages over their solid-state counterparts for applications where a combination of virtually zero noise photon-counting, large format, short wavelength sensitivity with high resolution timing and imaging are required. Solar-blind applications, Cherenkov detectors for high energy physics, and UV astronomy are such fields. The application to Cherenkov detection is particularly demanding, requiring time resolution below 100 picoseconds combined with imaging and high throughput. This requires the readout to combine high spatial and temporal event resolution at high rates necessitating a parallel readout approach. We describe a readout design comprising a pixellated readout array instrumented using multi-channel fast timing electronics and incorporating charge centroiding to achieve sub-pixel spatial resolution. We present experimental results of the relationship between time-over-threshold and signal amplitude and a centroiding image obtained with an MCP detector using a pixellated readout geometry. The readout was optimised for a fast electronics implementation based on the TOFPET system, a multi-channel all-in-one ASIC originally designed for time-of-flight PET using silicon photomultipliers.

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Section: Tofpetasic V2d With Microchannel Plate Pmtsmentioning

confidence: 99%

Picosecond imaging at high spatial resolution using TOFPET2 AISC v2d and microchannel plate detector

Sudjai¹,

Lapington²,

Leach³

2022

J. Inst.

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“…Hence, producing huge volumes of data, in the region of 10 Gbps per detector [1,2]. This works aims to design novel algorithms using machine learning (ML) techniques to handle these data rates and process photon events in real time.…”

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confidence: 99%

Investigating machine learning solutions for a 256 channel TCSPC camera with sub-70 ps single photon timing per channel at data rates >10 Gbps

et al. 2022

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The development of a Time Correlated Single Photon Counting (TCSPC) camera with 256 channels has enabled several applications where single photon sensitivity is crucial, such as LiDAR, Fluorescent Lifetime IMaging (FLIM) and quantum information systems. The microchannel plate-based Multi-Anode Photo-Multiplier Tube (MAPMT) is a 16 × 16 array of 1.656 mm pitch pixels with an active anode area of 26.5 × 26.5 mm2. Each pixel can time single photons with an accuracy of 60 ps rms at a maximum photon rate of 480 KHz. The timing electronics are capable of measuring 120 Mcps, producing huge volumes of data for processing, in the region of 10 Gbps per detector. Limitations in algorithmic data analysis techniques are critical for this application, hence this paper demonstrates a machine learning (ML) model which can determine the photon event coordinates with the objective of processing each one photon per 10 μs. The model applies calibrations for the detector and electronics such as amplitude walk, and charge measurement and channel to channel threshold variation. Optimisation of the model is detailed within the paper, including training hyperparameters, the clustering of coincident events and compression of the model through pruning techniques. The ML model is trained and tested on a simulation of the microchannel plate (MCP) PMT with timing electronics configured for use as a TCSPC camera, utilising charge sharing techniques to further improve the spatial resolution of the detector. Further objectives of the research are to test the model on detector data, allowing assessment on the variance of accuracy between simulated and real data. Beyond this, assessment of the performance of this approach compared to algorithmic approaches and introduction of statistical reasoning of the robustness of the model will be completed.

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Multi-channel Synchronization for Picosecond Time-tagging System

Lapkovskis

Litviņenko

Kurtenoks³

et al. 2023

2023 IEEE 10th Jubilee Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)

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Investigating microchannel plate PMTs with TOFPET2 multichannel picosecond timing electronics

Cited by 5 publications

References 1 publication

Picosecond imaging at high spatial resolution using TOFPET2 AISC v2d and microchannel plate detector

Picosecond imaging at high spatial resolution using TOFPET2 AISC v2d and microchannel plate detector

Investigating machine learning solutions for a 256 channel TCSPC camera with sub-70 ps single photon timing per channel at data rates >10 Gbps

Multi-channel Synchronization for Picosecond Time-tagging System

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