Can machine learning reduce the number of anode readouts for reconstruction of coincident single photons in CDIR resistive sea photon detectors?-Reference-Cited by-同舟云学术

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Can machine learning reduce the number of anode readouts for reconstruction of coincident single photons in CDIR resistive sea photon detectors?

Published:2024-09 Issue: Volume: Page:169863
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Markfort A.^ORCID,Baranov A.,Conneely T.M.,Duran A.,Lapington J.^ORCID,Milnes J.^ORCID,Oughton W.,Tyukin I.

Publisher

Elsevier BV

Reference3 articles.

1. High speed imaging using a capacitive division technique;Lapington;Nucl. Instrum. Methods Phys. Res. A,2012

2. The capacitive division image readout: A novel imaging device for microchannel plate detectors;Lapington,2013

3. SAMPIC: a readout chip for fast timing detectors in particle physics and medical imaging;Royon;J. Phys. Conf. Ser.,2015

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