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基于激发态卟啉及其衍生物的前沿进展和挑战

中国科学：化学 2022年第9期52卷 1547-1556页

作者：潘庆泽夏卓然郑凌峰樊江莉精细化工国家重点实验室大连理工大学智能材料化工前沿科学中心大连116024 大连理工大学宁波研究院宁波315016

卟啉及其衍生物具有强共振平面结构、分子结构易修饰等优点,在生物化学和光学材料领域具有良好的发展前景.本文探讨了基于激发态卟啉、酞菁底物的修饰方法和机理研究,综述和展望了其应用于光动力治疗、声动力治疗、辅助肿瘤治疗的光声... 详细信息

卟啉及其衍生物具有强共振平面结构、分子结构易修饰等优点,在生物化学和光学材料领域具有良好的发展前景.本文探讨了基于激发态卟啉、酞菁底物的修饰方法和机理研究,综述和展望了其应用于光动力治疗、声动力治疗、辅助肿瘤治疗的光声成像技术以及光电材料领域的新进展和挑战.

关键词：卟啉酞菁光动力治疗声动力治疗光声成像光电材料

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HiFAST:An HIdata calibration and imaging pipeline for FAST

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Science China(Physics,Mechanics & Astronomy) 2024年第5期67卷 182-199页

作者： Yingjie Jing Jie Wang Chen Xu Ziming Liu qingze Chen Tiantian Liang Jinlong Xu Yixian Cao Jing Wang Huijie Hu Chuan-Peng Zhang Qi Guo Liang Gao Mei Ai Hengqian Gan Xuyang Gao Jinlin Han Ligang Hou Zhipeng Hou Peng Jiang Xu Kong Fujia Li Zerui Liu Li Shao Hengxing pan Jun pan Lei Qian Jinghai Sun Ningyu Tang Qingliang Yang Bo Zhang Zhiyu Zhang Ming Zhu National Astronomical Observatories Chinese Academy of SciencesBeijing 100012China Institute for Frontiers in Astronomy and Astrophysics Beijing Normal UniversityBeijing 02206China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China Guizhou Radio Astronomical Observatory Guizhou UniversityGuiyang 55000China Max Planck Institute for Extraterrestrial Physics Garching 85748Germany Kavli Institute for Astronomy and Astrophysics Peking UniversityBeijing 100871China Institute of Computational Cosmology Department of PhysicsUniversity of DurhamDurham DHI 3LEUK CAS Key Laboratory of FAST National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China Deep Space Exploration Laboratory/Department of Astronomy University of Science and Technology of ChinaHefei 230026China School of Astronomy and Space Science University of Science and Technology of ChinaHefei 230026China Astrophysics Department of PhysicsUniversity of OxfordOxford OX/3RHUK College of Earth Sciences Guilin University of TechnologyGuilin 541004China Department of Physics Anhui Normal UniversityWuhu 241002China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China Key Laboratory of Modern Astronomy and Astrophysics Nanjing UniversityNanjing 20023China

The Five-hundred-meter Aperture Spherical radio Telescope(FAST)has the largest aperture and a 19-beam L-band receiver,making it powerful for investigating the neutral hydrogen atomic gas(HI)in the *** present HiFAST(https://***),a dedicated,modular,and self-contained calibration and imaging pipeline for processing the H?data of *** pipeline consists of frequency-dependent noise diode calibration,baseline fitting,standing wave removal using an FFT-based method,flux density calibration,stray radiation correction,and gridding to produce data *** modules can be combined as needed to process the data from most FAST observation modes:tracking,drift scanning,On-The-Fly mapping,and most of their *** HiFAST,the root-mean-square(RMS)noises of the calibrated spectra from all 19 beams were only slightly(~5%)higher than the theoretical *** results for the extended source M33 and the point sources are consistent with the results from *** moment maps(0,1 and 2)of M33 agree well with the results from the Arecibo Galaxy Environment Survey(AGES)with a fractional difference of less than 10%.For a common sample of 221 sources with signal-to-noise ratio S/N>10 from the Arecibo Legacy Fast ALFA(ALFALFA)survey,the mean value of fractional difference in the integrated flux density,Sint,between the two datasets is approximately 0.005%,with a dispersion of 15.4%.Further checks on the integrated flux density of 23 sources with seven observations indicate that the variance in the flux density of the source with luminous objects(Sint>2.5 Jy km s-1)is less than 5%.Our tests suggest that the FAST telescope,with the efficient,precise,and user-friendly pipeline HiFAST,will yield numerous significant scientific findings in the investigation of the H?in the universe.

关键词： fractional luminous correction

HiFAST:An H?data calibration and imaging pipeline for FAST

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Science China(Physics,Mechanics & Astronomy) 2024年第5期Mechanics & Astronomy) .卷 186-203页

作者： Yingjie Jing Jie Wang Chen Xu Ziming Liu qingze Chen Tiantian Liang Jinlong Xu Yixian Cao Jing Wang Huijie Hu Chuan-Peng Zhang Qi Guo Liang Gao Mei Ai Hengqian Gan Xuyang Gao Jinlin Han Ligang Hou Zhipeng Hou Peng Jiang Xu Kong Fujia Li Zerui Liu Li Shao Hengxing pan Jun pan Lei Qian Jinghai Sun Ningyu Tang Qingliang Yang Bo Zhang Zhiyu Zhang Ming Zhu National Astronomical Observatories Chinese Academy of Sciences Institute for Frontiers in Astronomy and Astrophysics Beijing Normal University School of Astronomy and Space Science University of Chinese Academy of Sciences Guizhou Radio Astronomical Observatory Guizhou University Max Planck Institute for Extraterrestrial Physics Kavli Institute for Astronomy and Astrophysics Peking University Institute of Computational Cosmology Department of PhysicsUniversity of Durham CAS Key Laboratory of FAST National Astronomical ObservatoriesChinese Academy of Sciences Deep Space Exploration Laboratory/Department of Astronomy University of Science and Technology of China School of Astronomy and Space Science University of Science and Technology of China Astrophysics Department of PhysicsUniversity of Oxford College of Earth Sciences Guilin University of Technology Department of Physics Anhui Normal University School of Astronomy and Space Science Nanjing University Key Laboratory of Modern Astronomy and Astrophysics Nanjing University

The Five-hundred-meter Aperture Spherical radio Telescope（FAST） has the largest aperture and a 19-beam L-band receiver,making it powerful for investigating the neutral hydrogen atomic gas（H?） in the *** present HiFAST（https://***）,a dedicated,modular,and self-contained calibration and imaging pipeline for processing the H?data of *** pipeline consists of frequency-dependent noise diode calibration,baseline fitting,standing wave removal using an FFT-based method,flux density calibration,stray radiation correction,and gridding to produce data *** modules can be combined as needed to process the data from most FAST observation modes:tracking,drift scanning,On-The-Fly mapping,and most of their *** HiFAST,the root-mean-square（RMS） noises of the calibrated spectra from all 19 beams were only slightly（～5%） higher than the theoretical *** results for the extended source M33 and the point sources are consistent with the results from *** moment maps（0,1 and 2） of M33 agree well with the results from the Arecibo Galaxy Environment Survey（AGES） with a fractional difference of less than 10%.For a common sample of 221 sources with signal-to-noise ratio S/N>10 from the Arecibo Legacy Fast ALFA（ALFALFA） survey,the mean value of fractional difference in the integrated flux density,Sint,between the two datasets is approximately 0.005%,with a dispersion of 15.4%.Further checks on the integrated flux density of 23 sources with seven observations indicate that the variance in the flux density of the source with luminous objects(Sint>2.5 Jy km s-1) is less than 5%.Our tests suggest that the FAST telescope,with the efficient,precise,and user-friendly pipeline HiFAST,will yield numerous significant scientific findings in the investigation of the H? in the universe.

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双判别器深度残差GAN高光谱图像融合

中国图象图形学报 2024年第7期29卷 2046-2062页

作者：周庆泽郭擎王海荣李安中国科学院空天信息创新研究院北京100094 中国科学院大学电子电气与通信工程学院北京100049

目的为了解决高空间分辨率多光谱图像与高光谱图像融合时的多波段对多波段问题,以及高空间分辨率多光谱图像波谱范围不能完全涵盖高光谱图像波谱范围而导致的光谱失真问题,本文利用深度学习的数据驱动优势,基于高分5号(GF-5)高光谱数据... 详细信息

目的为了解决高空间分辨率多光谱图像与高光谱图像融合时的多波段对多波段问题,以及高空间分辨率多光谱图像波谱范围不能完全涵盖高光谱图像波谱范围而导致的光谱失真问题,本文利用深度学习的数据驱动优势,基于高分5号(GF-5)高光谱数据和Sentinel-2多光谱数据,提出一种基于生成对抗网络(generative adversarial network,GAN)的高光谱图像空谱融合方法——双判别器深度残差GAN网络(two discriminator deep residual GAN,2DDRGAN)。方法考虑待融合图像间的波谱范围关系,采用分组融合策略,利用波段间的相关性,将多对多的融合问题转变为多个一对多的融合问题。使用深度残差模块深度提取图像的光谱和空间特征,用两个判别网络对融合图像的空间和光谱质量分别进行判断,改善生成网络生成的融合图像质量。另外,本文的深度学习网络不需要制作额外的融合结果标签,待融合图像本身就是标签,这大大降低了高光谱融合的工作量,也是目前深度学习遥感图像融合的根本改变。结果与常用传统空谱融合方法和经典深度学习方法比较的实验结果表明,对于不同地物类型数据,该网络得到的融合结果在提升空间分辨率的同时,有较高的光谱保真度。光谱曲线评价也验证了该网络对于高空间分辨率图像波谱范围以外的高光谱图像波段进行融合时有良好的光谱保真度。结论本文方法通过深度残差模块提取高光谱图像光谱特征和高空间分辨率图像空间特征,同时引入双判别网络,使得融合结果在保持光谱信息的同时更好地提升空间信息。

关键词：高光谱图像空谱融合高空间分辨率多光谱图像光谱失真融合策略生成对抗网络(GAN) 光谱曲线评价

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台风“米娜”影响下的杭州湾风暴潮特征及对咸潮的影响

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海洋预报 2023年第6期40卷 12-20页

作者：左常圣黄清泽潘嵩任兴元国家海洋信息中心天津300171 自然资源部宁德海洋中心福建宁德352000

基于2019年台风“米娜”风暴潮期间的实测资料,应用ADCIRC海洋模型,开展杭州湾周边海域台风风暴潮数值模拟,刻画台风期间杭州湾海域风暴增减水过程及其时空分布,并分析杭州湾风暴增减水特征以及对钱塘江咸潮入侵的影响。结果显示:芦潮... 详细信息

基于2019年台风“米娜”风暴潮期间的实测资料,应用ADCIRC海洋模型,开展杭州湾周边海域台风风暴潮数值模拟,刻画台风期间杭州湾海域风暴增减水过程及其时空分布,并分析杭州湾风暴增减水特征以及对钱塘江咸潮入侵的影响。结果显示:芦潮港、滩浒、岱山和沈家门这4个验潮站模拟天文潮位的平均绝对误差分别为22 cm、19 cm、10 cm和14 cm,最大风暴增水的绝对误差分别为6 cm、1 cm、6 cm和7 cm,模型模拟结果良好。台风影响期间,杭州湾(湾底)的风暴增水明显大于(湾口)岛屿,滩浒站最大增水为111 cm,沈家门站最大增水为74 cm;舟山外海—杭州湾的天文潮-风暴潮的非线性作用逐渐增大,在风暴增水达到最大的过程中,各站天文潮-风暴潮的非线性作用分别为24 cm、26 cm、14 cm和4 cm;钱塘江咸潮入侵程度主要取决于径流和潮汐强度,风暴增水会在一定程度上加剧咸潮入侵灾害,在台风“米娜”风暴增水期间,钱塘江发生咸潮入侵,造成南星水厂氯度值超标41 h,因此在台风影响期间需要提前预判风暴潮对咸潮入侵的影响,做好科学应对。

关键词：杭州湾风暴潮 1918号台风“米娜” 非线性作用咸潮

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