Optimization and characterization of detector and trigger system for a KAPAE design

Jeong, Dong Woo; Khan, Arshad; Park, Hyeoung Woo; Lee, Jik; Kim, H.J.

doi:10.1016/j.nima.2020.164941

Cited by 7 publications

(12 citation statements)

References 34 publications

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“…In the KAPAE detector, a 22 Na radioactive source is used to generate positrons from β+ decay. The instrument configuration is optimized to trigger on positrons by varying the polyethylene naphthalate (PEN) film plastic scintillator thickness 10 . The KAPAE detector aims to study CPT violation in Ps annihilation physics 10 , 11 .…”

Section: Introductionmentioning

confidence: 99%

“…The instrument configuration is optimized to trigger on positrons by varying the polyethylene naphthalate (PEN) film plastic scintillator thickness 10 . The KAPAE detector aims to study CPT violation in Ps annihilation physics 10 , 11 . Based on the relative spin orientations, the Ps ground state has two possible configurations: the triplet state ( 3 S 1 ), or ortho positronium (o-Ps), and the singlet state ( 1 S 0 ), or para positronium (p-Ps).…”

Section: Introductionmentioning

confidence: 99%

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Convolutional neural network-based reconstruction for positronium annihilation localization

Jegal

Jeong

Seo

et al. 2022

Sci Rep

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A novel hermetic detector composed of 200 bismuth germanium oxide crystal scintillators and 393 channel silicon photomultipliers has been developed for positronium (Ps) annihilation studies. This compact 4π detector is capable of simultaneously detecting γ-ray decay in all directions, enabling not only the study of visible and invisible exotic decay processes but also tumor localization in positron emission tomography for small animals. In this study, we investigate the use of a convolutional neural network (CNN) for the localization of Ps annihilation synonymous with tumor localization. Two-γ decay systems of the Ps annihilation from 22Na and 18F radioactive sources are simulated using a GEANT4 simulation. The simulated datasets are preprocessed by applying energy cutoffs. The spatial error in the XY plane from the CNN is compared to that from the classical weighted k-means algorithm centroiding, and the feasibility of CNN-based Ps annihilation reconstruction with tumor localization is discussed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Convolutional neural network-based reconstruction for positronium annihilation localization

Jegal

Jeong

Seo

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…In the KAPAE detector, a 22 Na radioactive source is used to generate positrons from β + decay. The instrument con guration is optimized to trigger on positrons by varying the polyethylene naphthalate (PEN) lm plastic scintillator thickness 14 . KAPAE aims to study CPT-violation in positronium (Ps) annihilation physics 14,15 .…”

Section: Introductionmentioning

confidence: 99%

“…The instrument con guration is optimized to trigger on positrons by varying the polyethylene naphthalate (PEN) lm plastic scintillator thickness 14 . KAPAE aims to study CPT-violation in positronium (Ps) annihilation physics 14,15 . Based on the relative spin orientations, the ground state of Ps has two possible con gurations: the triplet state ( 3 S 1 ), ortho positronium (o-Ps), and the singlet state ( 1 S 0 ), para positronium (p-Ps).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Convolutional Neural Network-based Reconstruction for Positronium Annihilation Localization

Jegal

Jeong

Seo

et al. 2022

Preprint

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A hermetic novel detector composed of 200 Bismuth germanium oxide crystal scintillators and 393 channel silicon photomultipliers has been developed for positronium (Ps) annihilation study. This compact 4π detector is capable of simultaneously detecting γ-ray decay in all directions, enabling not only the study of visible and invisible exotic decay processes but also tumor localization in positron emission tomography for small animals. In this study, we investigate the use of a convolutional neural network (CNN) for the localization of the Ps annihilation synonymous with tumor localization. The 2-γ decay systems of the Ps annihilation from the 22Na and 18F radioactive sources are simulated using GEANT4. The simulated data sets are preprocessed by applying energy cuts. The spatial error in the XY plane from CNN is compared to that from the classical centroiding, weighted k-means algorithm. The feasibility of the CNN-based Ps an-nihilation reconstruction with tumor localization is discussed.

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Precision spectroscopy of positronium: Testing bound-state QED theory and the search for physics beyond the Standard Model

2022

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Optimization and characterization of detector and trigger system for a KAPAE design

Cited by 7 publications

References 34 publications

Convolutional neural network-based reconstruction for positronium annihilation localization

Convolutional neural network-based reconstruction for positronium annihilation localization

Convolutional Neural Network-based Reconstruction for Positronium Annihilation Localization

Precision spectroscopy of positronium: Testing bound-state QED theory and the search for physics beyond the Standard Model

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