Latest Spectra Catalog Releasedd by LAMOOSSTT --Keepplleerr Projjeecctt
An international team led by Prof. Fu Jianning from Beijing Normal University and Dr. ZONG Weikai, the LAMOST youth researcher, together with researchers from Belgium,USA, Poland and Italy, released the spectra catalog,conducted in the survey period from 2012 to 2017,which has been undertaken by the LAMOST-Kepler project. This catalog will provide a huge database for the researches of many areas with the help of Kepler photometry, including asteroseismology, stellar activity and exoplanets.
The article is published online in The Astrophysical Journal Supplement Series on October 16, 2018 (Beijing time, Zong & Fu, et al. ApJS, 238, 30).
The LAMOST-Kepler project was initiated at the beginning of LAMOST pilot survey phase with an aim at measuring targets with Kepler photometry available. Now it counts 227,870 spectra of 156,390 stars, among which the project obtained atmospheric parameters and heliocentric radial velocity for 173,971 spectra of 126,172 stars. The common stars, i.e., both observed by LAMOST and Kepler, reached a number of 76,283, corresponding to about 40 percent of Kepler photometric targets.
在生成网络G中，首先需要对文本描述t进行编码，在这里，使用了Word-CNN-LSTM模型来对文本做编码。文本编码后经过一个全连接层压缩到一个较小的维度（128维），然后使用Leaky-Relu激活，并与输入图像x进行拼接。最后再将其输入到正常的反卷积层进行图像生成。
With the previous survey spectra data (De Cat& Fu, et al. 2015, ApJS, 220, 19), researchers had published many scientific papers of very high impact,such as the study of the eccentricities of Kepler hostingplanets stars (Xie, et al. 2016, PNAS, 113, 11431),the metallicity of stars hosting Neptunian cousins of hot Jupiters (Dong et al. 2018, 115, 266), and the chromospheric activity of solar-like stars (Karoff et al.2016, NatCo. 7, 11058).
Sky coverage of all targets observed by the LAMOST-Kepler project. The stars observed by LAMOST and with the Kepler photometry are marked in Persian blue, others are in dark cyan.The numbers mark the position of the 14 LAMOST-Kepler fields.(Image by courtesy of FU Jianning's team)
LAMOST Researchers from the National Astronomical Observatories of Chinese Academy of Sciences (NAOC) also participated in this work.
通过捕获的“肉鸡”进行设备类型分析，以Windows、Linux和IoT设备作为分类范围，其中IoT设备类型的肉鸡最多，占比61.37%；其次是Linux设备类型的肉鸡，占比20.85%，Windows设备类型肉鸡仅占比17.78%。
