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OriginWater (China)

China

5 papers here124 citations across 5
fields
  • cs.CV2
  • astro-ph.EP1
  • astro-ph.SR1
  • cs.CL1
ROR 04h7gmn81OpenAlex

affiliations via OpenAlex

output
20202024
most citedThe Spectroscopic Binaries from LAMOST Medium-Resolution Survey (MRS). I. Searching for Double-lined Spectroscopic Binaries (SB2s) with Convolutional Neural Network

44 citations

researchers with a paper here
  • Bing Qin1
  • Bo Zhang1
  • Chao Liu1
  • Chongyang Ma1
  • Dan Zhang1
  • Di Zhang1
  • D. Lin1 · h 63
  • Fangqi Zhu1
  • Fan Yang1
  • Feng Luo1
  • Haibin Huang1
  • Hao Tian1
collaborating institutions
  • City University of Hong KongHK2 papers
  • Kuaishou (China)2 papers
  • Beijing Jiaotong UniversityCN1 paper
  • Beijing Normal UniversityCN1 paper
  • Chinese Academy of SciencesCN1 paper
  • Harbin Institute of TechnologyCN1 paper
  • Hong Kong University of Science and TechnologyHK1 paper
  • Kavli Institute for Theoretical SciencesCN1 paper
  • Kunming Institute of ZoologyCN1 paper
  • Los Alamos National LaboratoryUS1 paper
  • National Astronomical ObservatoriesCN1 paper
  • Novel (United States)US1 paper
Showing astro-ph.SRShow all

1 paper · 1 filter

astro-ph.SR2021★ 44 cited

The Spectroscopic Binaries from LAMOST Medium-Resolution Survey (MRS). I. Searching for Double-lined Spectroscopic Binaries (SB2s) with Convolutional Neural Network

Bo Zhang, Ying-Jie Jing, Fan Yang +13

We developed a convolutional neural network (CNN) model to distinguish the double-lined spectroscopic binaries (SB2s) from others based on single exposure medium-resolution spectra…

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