2024
2024
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Record 61 of
Title:Remote Sensing LiDAR and Hyperspectral Classification with Multi-Scale Graph Encoder-Decoder Network
Author Full Names:Wang, Fang; Du, Xingqian; Zhang, Weiguang; Nie, Liang; Wang, Hu; Zhou, Shun; Ma, JunSource Title:REMOTE SENSINGLanguage:EnglishDocument Type:ArticleAbstract:The rapid development of sensor technology has made multi-modal remote sensing data valuable for land cover classification due to its diverse and complementary information. Many feature extraction methods for multi-modal data, combining light detection and ranging (LiDAR) and hyperspectral imaging (HSI), have recognized the importance of incorporating multiple spatial scales. However, effectively capturing both long-range global correlations and short-range local features simultaneously on different scales remains a challenge, particularly in large-scale, complex ground scenes. To address this limitation, we propose a multi-scale graph encoder-decoder network (MGEN) for multi-modal data classification. The MGEN adopts a graph model that maintains global sample correlations to fuse multi-scale features, enabling simultaneous extraction of local and global information. The graph encoder maps multi-modal data from different scales to the graph space and completes feature extraction in the graph space. The graph decoder maps the features of multiple scales back to the original data space and completes multi-scale feature fusion and classification. Experimental results on three HSI-LiDAR datasets demonstrate that the proposed MGEN achieves considerable classification accuracies and outperforms state-of-the-art methods.Addresses:[Wang, Fang; Zhang, Weiguang; Nie, Liang; Wang, Hu; Zhou, Shun] Xian Technol Univ, Sch Optoelect Engn, Xian 710021, Peoples R China; [Du, Xingqian] China Acad Space Technol Xian, Xian 710100, Peoples R China; [Wang, Hu] Xian Inst Opt & Precis Mech CAS, Xian 710119, Peoples R China; [Wang, Hu] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Wang, Hu] Xian Space Sensor Opt Technol Engn Res Ctr, Xian 710119, Peoples R China; [Ma, Jun] Xian Technol Univ, Inst Interdisciplinary & Innovat Res, Xian 710021, Peoples R ChinaAffiliations:Xi'an Technological University; Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Xi'an Technological UniversityPublication Year:2024Volume:16Issue:20Article Number:3912DOI Link:http://dx.doi.org/10.3390/rs16203912數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001341792600001 -
Record 62 of
Title:Mathieu ray-wave structured light with self-healing elliptical accelerating vortices
Author Full Names:Wei, Wenjun; Tang, Miaomiao; Zhang, Hao; Tai, Yuping; Shen, Yijie; Li, XinzhongSource Title:OPTICS LETTERSLanguage:EnglishDocument Type:ArticleKeywords Plus:GEOMETRIC MODES; MANIPULATION; BEAMSAbstract:Ray-wave structured vortex beams have attracted increasing attention due to their unique spatial geometric coupling to control complex orbital angular momentum (OAM). Still, current models were constrained by circular symmetry with limited modulation freedom. Herein, we propose a generalized class of ray-wave light fields called Mathieu geometric modes (MGMs) fulfilling the form of a stationary coherent state but based on a set of helical Mathieu modes (HMMs), in which geometrically tunable elliptical accelerating vortices are obtained by tuning their eccentricity-related parameters. MGMs also possess intriguing properties of coordinate transformation, self-healing, and multilayer tunable angular acceleration upon propagation. MGMs have higher degrees of freedom to control spatial accelerating vortices, paving the way for higher-dimensional optical tweezers and complex particle manipulation. (c) 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.Addresses:[Wei, Wenjun; Tang, Miaomiao; Zhang, Hao; Tai, Yuping; Li, Xinzhong] Henan Univ Sci & Technol, Sch Phys & Engn, Luoyang 471023, Peoples R China; [Wei, Wenjun; Tang, Miaomiao; Zhang, Hao; Tai, Yuping; Li, Xinzhong] Henan Univ Sci & Technol, Sch Chem & Chem Engn, Luoyang 471023, Peoples R China; [Tai, Yuping; Li, Xinzhong] Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China; [Shen, Yijie] Nanyang Technol Univ, Ctr Disrupt Photon Technol, Sch Phys & Math Sci, Singapore 637371, Singapore; [Shen, Yijie] Nanyang Technol Univ, Photon Inst, Singapore 637371, Singapore; [Shen, Yijie] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, SingaporeAffiliations:Henan University of Science & Technology; Henan University of Science & Technology; Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CAS; State Key Laboratory of Transient Optics & Photonics; Nanyang Technological University; Nanyang Technological University; Nanyang Technological UniversityPublication Year:2024Volume:49Issue:19Start Page:5507End Page:5510DOI Link:http://dx.doi.org/10.1364/OL.534222數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001352046600006 -
Record 63 of
Title:Simplified design method for optical imaging systems based on deep learning
Author Full Names:Xue, Ben; Wei, Shijie; Yang, Xihang; Ma, Yinpeng; Xi, Teli; Shao, XiaopengSource Title:APPLIED OPTICSLanguage:EnglishDocument Type:ArticleKeywords Plus:EXTENDED DEPTHAbstract:Modern optical design methods pursue achieving zero aberrations in optical imaging systems by adding lenses, which also leads to increased structural complexity of imaging systems. For given optical imaging systems, directly reducing the number of lenses would result in a decrease in design degrees of freedom. Even if the simplified imaging system can satisfy the basic first-order imaging parameters, it lacks sufficient design degrees of freedom to constrain aberrations to maintain the clear imaging quality. Therefore, in order to address the issue of image quality defects in the simplified imaging system, with support of computational imaging technology, we proposed a simplified spherical optical imaging system design method. The method adopts an optical-algorithm joint design strategy to design a simplified optical system to correct partial aberrations and combines a reconstruction algorithm based on the ResUNet++ network to correct residual aberrations, achieving mutual compensation correction of aberrations between the optical system and the algorithm. We validated our method on a two-lens optical imaging system and compared the imaging performance with that of a three-lens optical imaging system with similar first-order imaging parameters. The imaging results show that the quality of reconstructed images of the two-lens imaging system has improved (SSIM improved 13.94%, PSNR improved 21.28%), and the quality of the reconstructed image is close to the quality of the direct imaging results of the three-lens optical imaging system. (c) 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.Addresses:[Xue, Ben; Wei, Shijie; Yang, Xihang; Ma, Yinpeng; Xi, Teli] Xidian Univ, Sch Optoelect Engn, Xian Key Lab Computat Imaging, Xian 710071, Peoples R China; [Xue, Ben; Ma, Yinpeng] Xidian Univ, Hangzhou Inst Technol, Adv Optoelect Imaging & Device Lab, Hangzhou 311200, Peoples R China; [Xi, Teli] Xidian Univ, Guangzhou Inst Technol, Guangzhou 510555, Peoples R China; [Shao, Xiaopeng] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R ChinaAffiliations:Xidian University; Xidian University; Xidian University; Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CASPublication Year:2024Volume:63Issue:28Start Page:7433End Page:7441DOI Link:http://dx.doi.org/10.1364/AO.530390數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001330577500011 -
Record 64 of
Title:Remote Sensing Image Dehazing via Dual-View Knowledge Transfer
Author Full Names:Yang, Lei; Cao, Jianzhong; Bian, He; Qu, Rui; Guo, Huinan; Ning, HailongSource Title:APPLIED SCIENCES-BASELLanguage:EnglishDocument Type:ArticleKeywords Plus:SINGLE IMAGE; HAZE REMOVALAbstract:Remote-sensing image dehazing (RSID) is crucial for applications such as military surveillance and disaster assessment. However, current methods often rely on complex network architectures, compromising computational efficiency and scalability. Furthermore, the scarcity of annotated remote-sensing-dehazing datasets hinders model development. To address these issues, a Dual-View Knowledge Transfer (DVKT) framework is proposed to generate a lightweight and efficient student network by distilling knowledge from a pre-trained teacher network on natural image dehazing datasets. The DVKT framework includes two novel knowledge-transfer modules: Intra-layer Transfer (Intra-KT) and Inter-layer Knowledge Transfer (Inter-KT) modules. Specifically, the Intra-KT module is designed to correct the learning bias of the student network by distilling and transferring knowledge from a well-trained teacher network. The Inter-KT module is devised to distill and transfer knowledge about cross-layer correlations. This enables the student network to learn hierarchical and cross-layer dehazing knowledge from the teacher network, thereby extracting compact and effective features. Evaluation results on benchmark datasets demonstrate that the proposed DVKT framework achieves superior performance for RSID. In particular, the distilled model achieves a significant speedup with less than 6% of the parameters and computational cost of the original model, while maintaining a state-of-the-art dehazing performance.Addresses:[Yang, Lei; Cao, Jianzhong; Bian, He; Qu, Rui; Guo, Huinan] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China; [Yang, Lei; Cao, Jianzhong; Bian, He] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Ning, Hailong] Xian Univ Posts & Telecommun, Sch Comp Sci & Technol, Xian 710121, Peoples R ChinaAffiliations:Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Xi'an University of Posts & TelecommunicationsPublication Year:2024Volume:14Issue:19Article Number:8633DOI Link:http://dx.doi.org/10.3390/app14198633數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001332190600001 -
Record 65 of
Title:Enhancement of single-photon level signal detection based on phase sensitive amplification strategy
Author Full Names:Zhang, Changchang; Wang, Zhaolu; Liu, Hongjun; Huang, NanSource Title:NEW JOURNAL OF PHYSICSLanguage:EnglishDocument Type:ArticleKeywords Plus:QUANTUM-NOISE-REDUCTION; INEFFICIENT DETECTION; PARAMETRIC-AMPLIFIER; GENERATION; EFFICIENCYAbstract:We investigate the ability of phase-sensitive amplification (PSA) to noiselessly amplify the preferred quadrature components of single-photon signals that are limited by phase fluctuations relative to the pump. We present a PSA enhancement strategy that is more realistic for possible experimental realization and is expected to significantly improve the detection of weak signals at the single-photon level and obtain more useful information. Our study shows that with a large PSA gain, proper transmissivity allows both direct and balanced homodyne detections to operateoptimally simultaneously, and effectively improves the noise figure degradation owing to theinternal losses and non-ideal detection efficiencyAddresses:[Zhang, Changchang; Wang, Zhaolu; Liu, Hongjun; Huang, Nan] Chinese Acad ofScience, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China; [Liu, Hongjun] Shanxi Univ, Collabotat Innovat Ctr Extreme Opt, Taiyuan 030006, Peoples R China; [Zhang, Changchang] Univ Chinese Acad Sci, Beijing 100084, Peoples R ChinaAffiliations:State Key Laboratory of Transient Optics & Photonics; Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CAS; Shanxi University; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CASPublication Year:2024Volume:26Issue:10Article Number:103032DOI Link:http://dx.doi.org/10.1088/1367-2630/ad8778數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001342249300001 -
Record 66 of
Title:Equivalent Mechanical Model of a Microchannel Plate
Author Full Names:Zhang, Shengdan; Bai, Yonglin; Cao, Weiwei; Qin, Junjun; Gao, Jiarui; Chang, Le; Liu, Beihong; Hu, Zexun; Chu, Zhujun; Cong, Xiaoqing; Dong, Yongwei; Wang, ZhigangSource Title:MEASUREMENT SCIENCE REVIEWLanguage:EnglishDocument Type:ArticleAbstract:The microchannel plate (MCP) is an electron multiplier with millions of micro through-holes that must withstand strong vibrations and enormous shocks in spaceborne detectors. To ensure the reliability and robustness of the MCP in space applications, we proposed an equivalent mechanical model of the MCP to investigate its mechanical properties, since the direct creation of the finite element model using the finite element method (FEM) is not feasible. Then, we developed a test system to verify the effectiveness of the equivalent mechanical model. The results show that the error of harmonic response analysis and the test result is less than 10 %, which is acceptable. Finally, we conducted parametric studies of the MCPs and obtained the equivalent mechanical model of the MCPs with different geometric parameters. This study will help researchers to optimize the MCP for aerospace-grade detectors.Addresses:[Zhang, Shengdan; Bai, Yonglin; Cao, Weiwei; Qin, Junjun; Gao, Jiarui] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Ultrafast Photoelect Diagnost Technol, Xinxi Rd,17, Xian 710119, Peoples R China; [Zhang, Shengdan; Cao, Weiwei] Univ Chinese Acad Sci, Yanxi Lake East Rd,1, Beijing 100049, Peoples R China; [Chang, Le; Liu, Beihong; Chu, Zhujun] North Night Vis Technol Co Ltd, Hongwai Rd, 5, Kunming 650217, Peoples R China; [Hu, Zexun; Cong, Xiaoqing] North Night Vis Technol Co Ltd, Nanjing Branch, Kangping St,2, Nanjing 211102, Peoples R China; [Dong, Yongwei; Wang, Zhigang] Chinese Acad Sci, Inst High Energy Phys, Yuquan Rd,19, Beijing 10049, Peoples R ChinaAffiliations:Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Chinese Academy of Sciences; Institute of High Energy Physics, CASPublication Year:2024Volume:24Issue:5Start Page:174End Page:182DOI Link:http://dx.doi.org/10.2478/msr-2024-0023數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001346004300003 -
Record 67 of
Title:Effects of Black Silicon Surface Morphology Induced by a Femtosecond Laser on Absorptance and Photoelectric Response Efficiency
Author Full Names:Zhang, Xiaomo; Li, Weinan; Jin, Chuan; Cao, Yi; Liu, Feng; Wei, Na; Wang, Bo; Zhou, Rundong; Zhu, Xiangping; Zhao, WeiSource Title:PHOTONICSLanguage:EnglishDocument Type:ArticleKeywords Plus:MICROSTRUCTURED SILICON; PHOTODETECTORS; ENHANCEMENT; GERMANIUMAbstract:In this study, the effects of variations in the height (h) and bottom radius (r) of black silicon microstructures on their absorptance and photoelectric response efficiency were analyzed. By using the relation cot theta/2=hr to combine the parameters, it was found that changes in morphology affected the absorptance of black silicon microstructures, with h being directly proportional to the absorptance, while r was inversely proportional. A positive correlation was observed between cot theta/2 and absorptance. However, the correlation between cot theta/2 and photoelectric response efficiency was not significant. Through Raman spectroscopy analysis of the samples, it was concluded that as the laser ablation energy density increased, more lattice defects were introduced, weakening the charge carrier transport efficiency. This study further elucidated the mechanism by which microstructural changes impacted the absorptance and energy density of black silicon, providing valuable insights for optimizing its energy density.Addresses:[Zhang, Xiaomo; Li, Weinan; Jin, Chuan; Cao, Yi; Wei, Na; Wang, Bo; Zhou, Rundong; Zhu, Xiangping; Zhao, Wei] Xian Inst Opt & Precis Ind Dev Zone, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China; [Zhang, Xiaomo; Li, Weinan; Jin, Chuan; Cao, Yi; Wei, Na; Wang, Bo; Zhou, Rundong; Zhu, Xiangping; Zhao, Wei] Univ Chinese Acad Sci, 19 Yuquan Rd, Beijing 100049, Peoples R China; [Liu, Feng] Northwestern Polytech Univ, Sch Phys Sci & Technol, Minist Ind & Informat Technol, Xian 710129, Peoples R China; [Liu, Feng] Northwestern Polytech Univ, Sch Phys Sci & Technol, Shaanxi Key Lab Opt Informat Technol, Xian 710129, Peoples R China; [Zhu, Xiangping] Key & Core Technol Innovat Inst Greater Bay Area, Bldg B3,11 Kaiyuan Ave, Guangzhou 510535, Peoples R ChinaAffiliations:Chinese Academy of Sciences; State Key Laboratory of Transient Optics & Photonics; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Northwestern Polytechnical University; Northwestern Polytechnical UniversityPublication Year:2024Volume:11Issue:10Article Number:947DOI Link:http://dx.doi.org/10.3390/photonics11100947數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001341981700001 -
Record 68 of
Title:Turbulence compensation with pix-to-pix generative adversarial networks in vector vortex beams
Author Full Names:Zhang, Zhi; Xie, Xiaoping; Si, Jinhai; Wang, Wei; Jia, Shuaiwei; Gao, DuoruiSource Title:PHYSICA SCRIPTALanguage:EnglishDocument Type:ArticleKeywords Plus:ATMOSPHERIC COMPENSATION; DATA-TRANSMISSION; SPACE; POLARIZATION; COMMUNICATION; INFORMATION; SYSTEMAbstract:Orbital angular momentum (OAM) has significantly propelled free space optical communication (FSOC) towards achieving ultra-large transmission capacities, but mode-crosstalk in atmospheric turbulence limits its application. Here, we propose a proof-of-concept turbulence compensation approach utilizing pix-to-pix generative adversarial networks (pix2pixGAN) that does not rely on the wavefront sensor. The model captures the complex relationships between distorted optical fields and phase screens through extensive training, after which the phase screen is directly recovered from the well-trained model by identifying the corresponding distorted image to compensate for distortions. Using this model, the Strehl ratio improvement is measured at 35.7%, 8.9%, and 1.7% under three distinct turbulence conditions, respectively. Furthermore, the recognition of vector vortex beams (VVBs) integrating with the pix2pixGAN significantly improves average mode accuracy from 2% to over 99%. Additionally, the exploration of VVB-based communication further elucidates pix2pixGAN's role in enhancing communication quality. These findings suggest a potential advancement in developing a novel neural network-based strategy to compensate for transmission distortions under intense turbulence.Addresses:[Zhang, Zhi; Xie, Xiaoping; Wang, Wei; Jia, Shuaiwei; Gao, Duorui] Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China; [Zhang, Zhi; Si, Jinhai] Xi An Jiao Tong Univ, Key Lab Phys Elect & Devices, Minist Educ, Xian 710049, Peoples R China; [Zhang, Zhi; Si, Jinhai] Xi An Jiao Tong Univ, Shaanxi Key Lab Informat PhotonicTechn, Xian 710049, Peoples R China; [Zhang, Zhi; Xie, Xiaoping; Wang, Wei; Jia, Shuaiwei; Gao, Duorui] Univ Chinese Acad Sci, Sch Optoelect, Beijing 100049, Peoples R ChinaAffiliations:Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CAS; State Key Laboratory of Transient Optics & Photonics; Xi'an Jiaotong University; Xi'an Jiaotong University; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CASPublication Year:2024Volume:99Issue:10Article Number:105532DOI Link:http://dx.doi.org/10.1088/1402-4896/ad74b8數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001308314000001 -
Record 69 of
Title:Grayscale Iterative Star Spot Extraction Algorithm Based on Image Entropy
Author Full Names:Zhao, Qing; Liao, Jiawen; Zhang, Derui; Feng, JiaSource Title:APPLIED SCIENCES-BASELLanguage:EnglishDocument Type:ArticleKeywords Plus:SENSORAbstract:Star trackers are susceptible to interference from stray light, such as sunlight, moonlight, and Earth atmosphere light, in the space environment, resulting in an overall improvement in the star image grayscale, poor background uniformity, low star extraction rate, and high number of false star spots. In response to these challenges, this paper proposes a grayscale iterative star spot extraction algorithm based on image entropy. The implementation of the algorithm is mainly divided into two steps: (1) The algorithm conducts multiple grayscale iterations, effectively utilizing the prior information on the local contrast of star spots to filter out stray light backgrounds to a certain extent. (2) By establishing an inner-outer template, the image entropy algorithm is employed to obtain the real star targets to be extracted, which further suppresses the background clutter and noise. Numerical simulations and experimental results demonstrate that, compared to traditional detection algorithms, this algorithm can effectively suppress background stray light, enhance star extraction rates, and reduce the number of false star spots, and it exhibits superior detection performance in complex backgrounds across various scenarios.Addresses:[Zhao, Qing; Liao, Jiawen; Zhang, Derui; Feng, Jia] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Aircraft Opt Imaging Monitoring & Measurement Tech, Xian 710119, Peoples R ChinaAffiliations:Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CASPublication Year:2024Volume:14Issue:20Article Number:9207DOI Link:http://dx.doi.org/10.3390/app14209207數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001341687400001 -
Record 70 of
Title:Goji Disease and Pest Monitoring Model Based on Unmanned Aerial Vehicle Hyperspectral Images
Author Full Names:Zhao, Ruixin; Zhang, Biyun; Zhang, Chunmin; Chen, Zeyu; Chang, Ning; Zhou, Baoyu; Ke, Ke; Tang, FengSource Title:SENSORSLanguage:EnglishDocument Type:ArticleKeywords Plus:VEGETATION INDEXES; PREDICTIONAbstract:Combining near-earth remote sensing spectral imaging technology with unmanned aerial vehicle (UAV) remote sensing sensing technology, we measured the Ningqi No. 10 goji variety under conditions of health, infestation by psyllids, and infestation by gall mites in Shizuishan City, Ningxia Hui Autonomous Region. The results indicate that the red and near-infrared spectral bands are particularly sensitive for detecting pest and disease conditions in goji. Using UAV-measured data, a remote sensing monitoring model for goji pest and disease was developed and validated using near-earth remote sensing hyperspectral data. A fully connected neural network achieved an accuracy of over 96.82% in classifying gall mite infestations, thereby enhancing the precision of pest and disease monitoring in goji. This demonstrates the reliability of UAV remote sensing. The pest and disease remote sensing monitoring model was used to visually present predictive results on hyperspectral images of goji, achieving data visualization.Addresses:[Zhao, Ruixin; Zhang, Chunmin; Chen, Zeyu; Chang, Ning; Ke, Ke; Tang, Feng] Xi An Jiao Tong Univ, Sch Phys, Dept Mat Phys, Xian 710049, Peoples R China; [Zhao, Ruixin; Zhang, Chunmin; Chen, Zeyu; Chang, Ning; Ke, Ke; Tang, Feng] Xi An Jiao Tong Univ, Inst Space Opt, Xian 710049, Peoples R China; [Zhao, Ruixin; Zhang, Chunmin; Chen, Zeyu; Chang, Ning; Ke, Ke; Tang, Feng] Xi An Jiao Tong Univ, Key Lab Nonequilibrium Synth & Modulat Condensed M, Minist Educ, Xian 710049, Peoples R China; [Zhang, Biyun] BA Trading Guangzhou Co Ltd, Guangzhou 510000, Peoples R China; [Chen, Zeyu; Chang, Ning] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China; [Zhou, Baoyu] Ningxia Bing He Technol Co Ltd, Shizuishan 753099, Peoples R ChinaAffiliations:Xi'an Jiaotong University; Xi'an Jiaotong University; Xi'an Jiaotong University; Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CASPublication Year:2024Volume:24Issue:20Article Number:6739DOI Link:http://dx.doi.org/10.3390/s24206739數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001341602300001 -
Record 71 of
Title:Topological edge states in a photonic Floquet insulator with unpaired Dirac cones
Author Full Names:Zhong, Hua; Kartashov, Yaroslav v; Li, Yongdong; Li, Ming; Zhang, YiqiSource Title:PHOTONICS RESEARCHLanguage:EnglishDocument Type:ArticleKeywords Plus:SOLITONSAbstract:Topological insulators are most frequently constructed using lattices with specific degeneracies in their linear spectra, such as Dirac points. For a broad class of lattices, such as honeycomb ones, these points and associated Dirac cones generally appear in non-equivalent pairs. Simultaneous breakup of the time-reversal and inversion symmetry in systems based on such lattices may result in the formation of the unpaired Dirac cones in bulk spectrum, but the existence of topologically protected edge states in such structures remains an open problem. Here a photonic Floquet insulator on a honeycomb lattice with unpaired Dirac cones in its spectrum is introduced that can support unidirectional edge states appearing at the edge between two regions with opposite sublattice detuning. Topological properties of this system are characterized by the nonzero valley Chern number. Remarkably, edge states in this system can circumvent sharp corners without inter-valley scattering even though there is no total forbidden gap in the spectrum. Our results reveal unusual interplay between two different physical mechanisms of creation of topological edge states based on simultaneous breakup of different symmetries of the system. (c) 2024 Chinese Laser PressAddresses:[Zhong, Hua; Li, Yongdong; Zhang, Yiqi] Xi An Jiao Tong Univ, Sch Elect Sci & Engn, Key Lab Phys Elect & Devices, Minist Educ, Xian 710049, Peoples R China; [Kartashov, Yaroslav v] Russian Acad Sci, Inst Spect, Moscow 108840, Russia; [Li, Ming] Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R ChinaAffiliations:Xi'an Jiaotong University; Russian Academy of Sciences; Institute of Spectroscopy; Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CAS; State Key Laboratory of Transient Optics & PhotonicsPublication Year:2024Volume:12Issue:10Start Page:2078End Page:2087DOI Link:http://dx.doi.org/10.1364/PRJ.524824數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001335112000001 -
Record 72 of
Title:Research progress on long lifetime MCP-PMT for the DTOF detector in STCF
Author Full Names:Li, Kuinian; Chen, Ping; Wei, Yonglin; Liu, Hulin; Sai, Xiaofeng; He, Jianping; He, Luanxuan; Chen, Riguang; Tian, Jinshou; Zhao, Wei; Shao, Ming; Liu, Jianbei; Wu, ShengliSource Title:INTERNATIONAL JOURNAL OF MODERN PHYSICS ALanguage:EnglishDocument Type:ArticleAbstract:The Super Tau Charm Facility (STCF) is a state-of-the-art electron-positron collider operating in the center-of-mass energy range of 2-7GeV and achieving a peak luminosity of more than 0.5x1035cm-2s-1, which is pivotal for advancing particle physics research. The DIRC-like time-of-flight (DTOF) detector is one of the crucial components of the STCF, designed to identify high-momentum charged particles with high precision. A significant element of the DTOF is the microchannel plate photomultiplier tube (MCP-PMT), known for its exceptional time resolution in the detection of Cherenkov light. With the STCF expected to operate for over a decade, stringent requirements are imposed on the MCP-PMT, requiring an integrated anode charge (IAC) in excess of 10C/cm2. In this paper, the lifetime of the single anode MCP-PMT prototypes is investigated and a multi-anode MCP-PMT design is presented. The results show that the lifetime of the single anode MCP-PMT is greater than 11C/cm2 when a 6 nm-thick ALD layer is deposited on the inner surface of the MCP and an electron scrubbing dosage of 0.75 mu A & sdot;h/cm2 is applied to the MCP. The lifetime is expected to be further improved by increasing the electron scrubbing dosage and optimizing the ALD layer. The studies on the single anode MCP-PMTs will be applied to the development of the long-life multi-anode MCP-PMT.Addresses:[Li, Kuinian; Chen, Ping; Wei, Yonglin; Liu, Hulin; Sai, Xiaofeng; He, Jianping; He, Luanxuan; Chen, Riguang; Tian, Jinshou; Zhao, Wei] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Ultrafast Photoelect Diagnost Technol, Xian 710119, Peoples R China; [Li, Kuinian; He, Luanxuan; Wu, Shengli] Xi An Jiao Tong Univ, Sch Elect Sci & Engn, Xian 710049, Peoples R China; [Li, Kuinian; He, Luanxuan; Chen, Riguang] Univ Chinese Acad Sci, Beijing 100091, Peoples R China; [Shao, Ming; Liu, Jianbei] Univ Sci & Technol China, State Key Lab Particle Detect & Elect, Hefei 230026, Peoples R China; [Chen, Ping] Shanxi Univ, Collaborat Innovat Ctr Extreme Opt, Taivuan 030006, Shanxi, Peoples R ChinaAffiliations:Chinese Academy of Sciences; Xi'an Institute of Optics & Precision Mechanics, CAS; Xi'an Jiaotong University; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Shanxi UniversityPublication Year:2024Volume:39Issue:26N27Article Number:2442016DOI Link:http://dx.doi.org/10.1142/S0217751X24420168數(shù)據(jù)庫(kù)ID（收錄號(hào)）:WOS:001353733800012