中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Physics-Guided Deep Learning Method for Tool Condition Monitoring in Smart Machining System 期刊论文  OAI收割
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023
作者:  
Li, Shenshen;  Lin, Xin;  Shi, Hu;  Shi, Yungao;  Zhu, Kunpeng
  |  收藏  |  浏览/下载:21/0  |  提交时间:2023/11/17
Physics-informed deep-learning parameterization of ocean vertical mixing improves climate simulations CNKI期刊论文  OAI收割
2022
作者:  
Yuchao Zhu;  Rong-Hua Zhang;  James N.Moum;  Fan Wang;  Xiaofeng Li
  |  收藏  |  浏览/下载:4/0  |  提交时间:2024/12/18
Synchronous X-ray/Optical QPOs from the Black Hole LMXB MAXI J1820+070 期刊论文  OAI收割
Monthly Notices of the Royal Astronomical Society, 2021
作者:  
HXMT
  |  收藏  |  浏览/下载:59/0  |  提交时间:2022/02/08
black hole physics  Low Mass X-ray Binaries  accretion  accretion  discs  stars: individual (MAXI J1820+070)  Astrophysics - High Energy  Astrophysical Phenomena  Abstract: We present high-speed optical photometry from SAAO and SALT on the black hole LMXB MAXI J1820+070 (ASSASN-18ey), some of it simultaneous with NICER, Swift and Insight-HXMT X-ray coverage. We detect optical Quasi-Periodic Oscillations (QPOs) that move to higher frequencies as the outburst progresses, tracking both the frequency and evolution of similar X-ray QPOs previously reported. Correlated X-ray/optical data reveal a complex pattern of lags, including an anti-correlation and a sub-second lag that evolve over the first few weeks of outburst. They also show correlated components separated by a lag equal to the QPO period roughly centered on zero lag, implying that the inter-band variability is strongly and consistently affected by these QPOs at a constant phase lag of roughly ±Ю The synchronisation of X-ray and optical QPOs indicates that they must be produced in regions physically very close to each other  we thus propose that they can be explained by a precessing jet model, based on analogies with V404 Cyg and MAXI J1348-630.  
Research and development of visualization-analysis oriented digital map data model 会议论文  OAI收割
Qi Q. W.; Liang Y. J.
收藏  |  浏览/下载:31/0  |  提交时间:2012/06/30