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Describing spatiotemporal couplings in ultrashort pulses using coupling coefficients
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作者 曾曙光 但有全 +2 位作者 张彬 孙年春 隋展 《Chinese Physics B》 SCIE EI CAS CSCD 2011年第11期301-305,共5页
Three coupling coefficients are defined to describe spatiotemporal coupling in ultrashort pulses. With these coupling coefficients, the first-order spatiotemporal couplings of Gaussian pulse and beam are described ana... Three coupling coefficients are defined to describe spatiotemporal coupling in ultrashort pulses. With these coupling coefficients, the first-order spatiotemporal couplings of Gaussian pulse and beam are described analytically. Also, the first-order and the second-order spatiotemporal couplings caused by angular dispersion elements are studied using these coupling coefficients. It can be shown that these coupling coefficients are dimensionless and normalized, and readily indicate the severity of spatiotemporal coupling. 展开更多
关键词 spatiotemporal coupling ultrashort pulse angular dispersion spatial chirp
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Spatiotemporal coupling investigations for Ti:sapphire-based multi-PW lasers 被引量:2
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作者 Ji Ping Zou Herve Coic Dimitris Papadopoulos 《High Power Laser Science and Engineering》 SCIE CAS CSCD 2022年第1期40-52,共13页
Emerging multi-PW-class lasers and their envisioned laser-plasma interaction applications in unprecedented intensity regimes set a very demanding frame for the precise understanding of the finest properties of these s... Emerging multi-PW-class lasers and their envisioned laser-plasma interaction applications in unprecedented intensity regimes set a very demanding frame for the precise understanding of the finest properties of these systems.In this work we present a synthesis of simulation studies on a series of less known or even completely disregarded spatiotemporal effects that could potentially impact greatly the performances of high-intensity lasers. 展开更多
关键词 spatiotemporal coupling Ti:sapphire lasers ultra-intense lasers
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STCANet:Spatiotemporal Coupled Attention Network for Ocean Surface Current Prediction
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作者 XIE Cui CHEN Ping +1 位作者 MAN Tenghao DONG Junyu 《Journal of Ocean University of China》 SCIE CAS CSCD 2023年第2期441-451,共11页
Currently,numerical models based on idealized assumptions,complex algorithms and high computational costs are unsatisfactory for ocean surface current prediction.Moreover,the complex temporal and spatial variability o... Currently,numerical models based on idealized assumptions,complex algorithms and high computational costs are unsatisfactory for ocean surface current prediction.Moreover,the complex temporal and spatial variability of ocean currents also makes the prediction methods based on time series data challenging.The deep network model can automatically learn and extract complex features hidden in large amount of complex data,so it is a promising method for high quality prediction of ocean currents.In this paper,we propose a spatiotemporal coupled attention deep network model STCANet that can extract abundant temporal and spatial coupling information on the behavior characteristics of ocean currents for improving the prediction accuracy.Firstly,Spatial Module is designed and implemented to extract the spatiotemporal coupling characteristics of ocean currents,and meanwhile the spatial correlations and dependencies among adjacent sea areas are obtained through Spatial Channel Attention Module(SCAM).Secondly,we use the GatedRecurrent-Unit(GRU)to extract temporal relationships of ocean currents,and design and implement the nearest neighbor time attention module to extract the interdependences of ocean currents between adjacent times,which can further improve the accuracy of ocean current prediction.Finally,a series of comparative experiments on the MediSea_Dataset and EastSea_Dataset showed that the prediction quality of our model greatly outperforms those of other benchmark models such as History Average(HA),Autoregressive Integrated Moving Average Model(ARIMA),Long Short-term Memory(LSTM),Gate Recurrent Unit(GRU)and CNN_GRU. 展开更多
关键词 ocean surface current prediction spatiotemporal coupling features deep learning attention mechanism
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Systematic study of spatiotemporal influences on temporal contrast in the focal region in large-aperture broadband ultrashort petawatt lasers 被引量:3
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作者 Ping Zhu Xinglong Xie +10 位作者 Jun Kang Qingwei Yang Haidong Zhu Ailin Guo Meizhi Sun Qi Gao Ziruo Cui Xiao Liang Shunhua Yang Dongjun Zhang Jianqiang Zhu 《High Power Laser Science and Engineering》 SCIE CAS CSCD 2018年第1期44-50,共7页
Temporal contrast is one of the crucial physical determinants which guarantee the successful performance of laser–matter interaction experiments. We generally reviewed the influences on the temporal contrast in three... Temporal contrast is one of the crucial physical determinants which guarantee the successful performance of laser–matter interaction experiments. We generally reviewed the influences on the temporal contrast in three categories of noises based on the requirement by the physical mechanisms. The spatiotemporal influences on temporal contrast at the focal region of the chromatic aberration and propagation time difference introduced by large-aperture broadband spatial filters, which were spatiotemporally coupled with compression and focusing, were calculated and discussed with a practical case in SG-Ⅱ5 PW ultrashort petawatt laser. The system-wide spatiotemporal coupling existing in large-aperture broadband ultrashort petawatt lasers was proved to be one of the possible causes of temporal contrast degradation in the focal region. 展开更多
关键词 chromatic aberration spatiotemporal coupling temporal contrast ultrashort petawatt lasers
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