42 citations · 84 across the 4 of their papers we have counts for
7 papers
Stellar Spectral Interpolation using Machine Learning
Kaushal Sharma, Harinder P. Singh, Ranjan Gupta +6
Theoretical stellar spectra rely on model stellar atmospheres computed based on our understanding of the physical laws at play in the stellar interiors. These models, coupled with…
Bivariate Luminosity Function of Galaxy Pairs
Shuai Feng, Shi-Yin Shen, Fang-Ting Yuan +8
We measure the bivariate luminosity function (BLF) of galaxy pairs and use it to probe and characterize the galaxy-galaxy interaction between pair members. The galaxy pair sample i…
Carbon stars identified from LAMOST DR4 using Machine Learning
Yin-Bi Li, A-Li Luo, Chang-De Du +27
In this work, we present a catalog of 2651 carbon stars from the fourth Data Release (DR4) of the Large Sky Area Multi-Object Fiber Spectroscopy Telescope (LAMOST). Using an effici…
Spectral classification and composites of galaxies in LAMOST DR4
Li-Li Wang, A-Li Luo, Shi-Yin Shen +10
We study the classification and composite spectra of galaxy in the fourth data release (DR4) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). We select 40…
Quasars in the Galactic Anti-Center Area from the LAMOST DR3
Zhi-Ying Huo, Xiao-Wei Liu, Jian-Rong Shi +11
We present a sample of quasars discovered in the area of Galactic Anti-Center (GAC) of and , based on the LAMOST Data Rel…
LAMOST Spectrograph Response Curves: Stability and Application to flux calibration
Bing Du, A-Li Luo, Zhong-Rui Bai +14
The task of flux calibration for LAMOST (Large sky Area Multi-Object Spectroscopic Telescope) spectra is difficult due to many factors. For example, the lack of standard stars, fla…