Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic survey

@article{Xiang2022InvestigationOS,
  title={Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic survey},
  author={Yue Xiang and S-H. Gu and Dongtao Cao},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.07257}
}
We apply the variational autoencoder (VAE) to the LAMOST-K2 low-resolution spectra to detect the magnetic activity of the stars in the K2 field. After the training on the spectra of the selected inactive stars, the VAE model can efficiently generate the synthetic reference templates needed by the spectral subtraction procedure, without knowing any stellar parameters. Then we detect the peculiar spectral features, such as chromospheric emissions, strong nebular emissions and lithium… 

References

SHOWING 1-2 OF 2 REFERENCES

ApJS, 238, 30 APPENDIX A: LIGHT CURVES AND SPECTRA OF THE ACTIVE STARS In Section 4.3, we compare the period and amplitude of the K2 light

  • 2021

Examples of the K2 light curves and the corresponding R1800 spectra of the active stars

  • MNRAS 000,
  • 2022