activity
20092022
most citedA wide star-black-hole binary system from radial-velocity measurements

200 citations · 1.4k across the 45 of their papers we have counts for

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Showing 2019Show all

10 papers · 1 filter

astro-ph.SR2019★ 12 cited

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…

astro-ph.SR2019★ 200 cited

A wide star-black-hole binary system from radial-velocity measurements

Jifeng Liu, Haotong Zhang, Andrew W. Howard +52

All stellar mass black holes have hitherto been identified by X-rays emitted by gas that is accreting onto the black hole from a companion star. These systems are all binaries with…

hep-ex2019

Search for the decay

M. Ablikim, M. N. Achasov, P. Adlarson +469

Using a data sample collected at the GeV with the BESIII detector, we search for the rare decay $D_{s}^{+} \rightarrow p \bar{p} e^{+} ν_…

astro-ph.SR2019★ 19 cited

Searching for Black Hole Candidates by LAMOST and ASAS-SN

Ling-Lin Zheng, Wei-Min Gu, Tuan Yi +13

Most dynamically confirmed stellar-mass black holes and the candidates were originally selected from X-ray outbursts. In the present work, we search for black hole candidates in th…

astro-ph.SR2019★ 13 cited

Long rotation period main-sequence stars from Kepler SAP light curves

Kaiming Cui, Jifeng Liu, Shuhong Yang +7

Stellar rotation plays a key role in stellar activity. The rotation period could be detected through light curve variations caused by starspots. Kepler provides two types of light…

astro-ph.SR2019★ 53 cited

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…