Effective improvement of beam lifetime based on radiofrequency phase modulation at the HLS-II storage ring

Zhao, Yunkun; Sun, Biao; Wang, Jigang; Wu, Fangfang; Lu, Ping; Zhou, Tianyu; Jin, Sanshuang

doi:10.1007/s41365-020-00836-0

Cited by 20 publications

(4 citation statements)

References 19 publications

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“…ARPES was performed at the BL03U beamline of the Shanghai Synchrotron Radiation Facility with a hemispherical electron-energy analyzer (Scienta-Omicron DA30). , The coverage of the tellurene/NiTe 2 samples used for the ARPES experiments is 70%–80%. Electronic band structure calculations were performed within the framework of DFT using the Vienna Ab Initio Simulation Package. − The unit cell consisted of three layers of NiTe 2 and layers of tellurene covered at both ends with a vacuum layer of 20 Å to ensure decoupling between adjacent slabs.…”

Section: Methodsmentioning

confidence: 99%

Realization of Honeycomb Tellurene with Topological Edge States

Liu,

Jiang,

Huang

et al. 2024

Nano Lett.

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The two-dimensional (2D) honeycomb lattice has attracted intensive research interest due to the appearance of Dirac-type band structures as the consequence of two sublattices in the honeycomb structure. Introducing strong spin−orbit coupling (SOC) leads to a gap opening at the Dirac point, transforming the honeycomb lattice into a 2D topological insulator as a platform for the quantum spin Hall effect (QSHE). In this work, we realize a 2D honeycomb-structured film with tellurium, the heaviest nonradioactive element in Group VI, namely, tellurene, via molecular beam epitaxy. We revealed the gap opening of 160 meV at the Dirac point due to the strong SOC in the honeycomb-structured tellurene by angle-resolved photoemission spectroscopy. The topological edge states of tellurene are detected via scanning tunneling microscopy/spectroscopy. These results demonstrate that tellurene is a novel 2D honeycomb lattice with strong SOC, and they unambiguously prove that tellurene is a promising candidate for a room-temperature QSHE system.

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Section: Methodsmentioning

confidence: 99%

Realization of Honeycomb Tellurene with Topological Edge States

Liu,

Jiang,

Huang

et al. 2024

Nano Lett.

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“…Doucet E came to the conclusion that artificial neural networks with feed-forward structures (Multilayer Perceptron, MLP) can provide superior n/gamma discrimination performance than charge comparison, and has better accuracy indicators than kmeans++ [11]. In contrast to the charge comparison approach, HR Liu's suggested PCNN can greatly increase PSD performance because of its superior anti-noise capacity, and it's able to handle the dynamic information found in pulse signals [12]. In the foundation models of artificial neural network, owing to the recurrent neural network's (RNN) advantage of the time sequence information in the pulse signal, Fu C used it for neutron-gamma discrimination and obtained better performance than MLP [13], demonstrating the effectiveness of using different classes of foundation models in place of the full connection layer in artificial neural networks, even though the whole calculation process requires more time due to the RNN unit structure.…”

Section: Jinst 18 P01007mentioning

confidence: 99%

Neutron-gamma events discrimination under complex circumstances using ResNet

Song

Yang

et al. 2023

J. Inst.

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On scintillator detectors, neutron and gamma rays could generate signals. These signals are generated internally and cannot be shielded, and there are various complex circumstances during data collection, such as piled-up pulse at high count rates and overflowed pulse caused by detector range limits. It is challenging to screen these complex circumstances using conventional methods like charge comparison. Conventional methods have low accuracy and lack self adaptability, to address these problem, a neural network based on residual connection structure (ResNet) was proposed. On the basis of the collected real signal, the pulse waveforms under complex circumstances were simulated. After integrating these waveforms into a dataset, they were trained and validated by ResNet and compared with two neural network algorithms MLP and CNN. The false predictions number of ResNet is 60% and 73% lower than that of CNN and MLP. The macro average F1 score of ResNet was 0.9956, which was significantly higher than 0.9885 of CNN and 0.9855 of MLP. And in the ROC and AUC, ResNet is still the best performing method, furthermore the improvement of ResNet to CNN is higher than that of CNN to MLP. These results indicated that Proposed ResNet is more suitable for neutron-gamma events discrimination in complex situations.

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“…A detector with the ability to reconstruct a complete three-dimensional representation of the particle's track, Time Projection Chamber (TPC), is suitable for light-charged particle emission reaction research. Thus, a multi-purpose Time Projection Chamber (MTPC) based on Micromegas [7] has been proposed at the back-streaming white neutron source (Back-n) of China Spallation Neutron Source (CSNS) [8]. The MTPC aims to research neutron-induced light-charged particle emission reactions in a wide neutron energy region with a high flux white neutron beam, such as 6 Li(n,t) 4 He, 10 B(n,𝛼) 7 Li, 12 C(n,p) 12 B, 14 N(n,p) 14 C, 19 F(n,𝛼) 16 N, 12 C(n,3𝛼)n and n-p elastic scattering.…”

Section: Introductionmentioning

confidence: 99%

Readout system for a prototype multi-purpose time projection chamber at CSNS Back-n

Chen¹,

Cao²,

Chen³

et al. 2022

J. Inst.

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This paper presents a readout system for a prototype multi-purpose Time Projection Chamber (MTPC), which is developed for the research of neutron-induced light-charged particles emission reaction. The prototype MTPC consists of 1521 readout channels for charge measurements, track reconstruction, and neutron time-of-flight measurement. The main function of the readout system is to perform 1521-channel waveform digitization based on multi-channel analog to digital converters (ADCs). Digital waveform compression, multi-board time synchronization, and many other efforts have been made to ensure system performance and stability. Test results show that the readout system has a time resolution better than 10 ns at a trigger rate of 20 kHz. With a 2.8 pC dynamic range of charge measurement, the noise without any input load is around 0.76 fC (in RMS), and the nonlinearity of each channel is less than 0.35%. A beam test with 6Li target has been carried out at the back-streaming white neutron source (Back-n) of China Spallation Neutron Source. The tracks of particles from neutron-induced reactions have been successfully reconstructed. The time-of-flight distribution of the 6Li(n,α)3H reaction reveals the resonance peak at about 240 keV. These results indicate that the readout system fulfils the requirements of the prototype MTPC.

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Effective improvement of beam lifetime based on radiofrequency phase modulation at the HLS-II storage ring

Cited by 20 publications

References 19 publications

Realization of Honeycomb Tellurene with Topological Edge States

Realization of Honeycomb Tellurene with Topological Edge States

Neutron-gamma events discrimination under complex circumstances using ResNet

Readout system for a prototype multi-purpose time projection chamber at CSNS Back-n

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