期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Site testing campaign for the Large Optical/infrared Telescope of China:general introduction of the Daocheng site 被引量:5
1
作者 Teng-Fei Song Yu Liu +8 位作者 Jing-Xing Wang Xue-Fei Zhang Shun-Qing Liu Ming-Yu Zhao Xiao-Bo Li zhan-chuan cai Qi-Wu Song Zi-Huang Cao Yu Ruan 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2020年第6期151-161,共11页
The Daocheng site is one of the three candidate sites for the Large Optical/infrared Telescope(LOT)of China.It was discovered by Yunnan Observatories during the survey of potential sites for the next-generation large-... The Daocheng site is one of the three candidate sites for the Large Optical/infrared Telescope(LOT)of China.It was discovered by Yunnan Observatories during the survey of potential sites for the next-generation large-aperture solar telescopes of China.This paper describes the overview of the site,the observation platform and the monitor instrument.In addition,simple statistical results are presented(from November,2016 up to December,2017).Detailed data results can refer to the overview of LOT site testing and data analysis articles,which were published during the same period. 展开更多
关键词 site testing LOT Daocheng site observation platform
下载PDF
Retrieving volume FeO and TiO_2 abundances of lunar regolith with CE-2 CELMS data using BPNN method 被引量:1
2
作者 cai Liu Hong-Yan Sun +6 位作者 Zhi-Guo Meng Yong-Chun Zheng Yu Lu zhan-chuan cai Jin-Song Ping Alexander Gusev Shuo Hu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2019年第5期31-42,共12页
The volume FeO and TiO_2 abundances(FTAs) of lunar regolith can be more important for understanding the geological evolution of the Moon compared to the optical and gamma-ray results. In this paper, the volume FTAs ar... The volume FeO and TiO_2 abundances(FTAs) of lunar regolith can be more important for understanding the geological evolution of the Moon compared to the optical and gamma-ray results. In this paper, the volume FTAs are retrieved with microwave sounder(CELMS) data from the Chang'E-2 satellite using the back propagation neural network(BPNN) method. Firstly, a three-layered BPNN network with five-dimensional input is constructed by taking nonlinearity into account. Then, the brightness temperature(TB) and surface slope are set as the inputs and the volume FTAs are set as the outputs of the BPNN network.Thereafter, the BPNN network is trained with the corresponding parameters collected from Apollo, Luna,and Surveyor missions. Finally, the volume FTAs are retrieved with the trained BPNN network using the four-channel TBderived from the CELMS data and the surface slope estimated from Lunar Orbiter Laser Altimeter(LOLA) data. The rationality of the retrieved FTAs is verified by comparing with the Clementine UV-VIS results and Lunar Prospector(LP) GRS results. The retrieved volume FTAs enable us to re-evaluate the geological features of the lunar surface. Several important results are as follows. Firstly, very-low-Ti(<1.5 wt.%) basalts are the most spatially abundant, and the surfaces with TiO_2> 5 wt.% constitute less than 10% of the maria. Also, two linear relationships occur between the FeO abundance(FA) and the TiO_2 abundance before and after the threshold, 16 wt.% for FA. Secondly, a new perspective on mare volcanism is derived with the volume FTAs in several important mare basins, although this conclusion should be verified with more sources of data. Thirdly, FTAs in the lunar regolith change with depth to the uppermost surface,and the change is complex over the lunar surface. Finally, the distribution of volume FTAs hints that the highlands crust is probably homogeneous, at least in terms of the microwave thermophysical parameters. 展开更多
关键词 planetary systems MOON evolution imaging spectroscopy DATA analysis
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部