53 citations · 302 across the 24 of their papers we have counts for
24 papers
Comparisons of Different Fitting Methods for the Physical Parameters of A Star Cluster Sample of M33 with Spectroscopy and Photometry
Zhou Fan, Bingqiu Chen, Xiaoying Pang +8
Star clusters are good tracers for formation and evolution of galaxies. We compared different fitting methods by using spectra (or by combining photometry) to determine the physica…
Machine Learning Regression of extinction in the second Data Release
Yu Bai, JiFeng Liu, YiLun Wang +1
Machine learning has become a popular tool to help us make better decisions and predictions, based on experiences, observations and analysing patterns within a given data set witho…
Machine Learning Regression of stellar effective temperatures in the second Data Release
Yu Bai, JiFeng Liu, ZhongRui Bai +2
This paper reports on the application of the supervised machine-learning algorithm to the stellar effective temperature regression for the second data release, based on the…
A Method to Search for Black Hole Candidates with Giant Companions by LAMOST
Wei-Min Gu, Hui-Jun Mu, Jin-Bo Fu +10
We propose a method to search for stellar-mass black hole (BH) candidates with giant companions from spectroscopic observations. Based on the stellar spectra of LAMOST Data Release…
Globular Clusters in the Outer Halo of M31
Song Wang, Jun Ma, Jifeng Liu
In this paper, we present photometry of 53 globular clusters (GCs) in the M31 outer halo, including the {\sl GALEX} FUV and NUV, SDSS , 15 intermediate-band filters of BATC,…
Machine learning Applied to Star-Galaxy-QSO Classification and Stellar Effective Temperature Regression
Yu Bai, JiFeng Liu, Song Wang +1
In modern astrophysics, the machine learning has increasingly gained more popularity with its incredibly powerful ability to make predictions or calculated suggestions for large am…