Kavli Affiliate: Feng Wang
| First 5 Authors: Lei Tan, Lei Tan, , ,
| Summary:
Be stars are rapidly rotating B-type stars that exhibit Balmer emission lines
in their optical spectra. These stars play an important role in studies of
stellar evolution and disk structures. In this work, we carried out a
systematic search for Be stars based on LAMOST spectroscopic data. Using
low-resolution spectra from LAMOST DR11, we constructed a data set and
developed a classification model that combines long short-term memory networks
and convolutional neural networks , achieving a testing accuracy of 97.86%. The
trained model was then applied to spectra with signal-to-noise ratios greater
than 10, yielding 55,667 B-type candidates. With the aid of the MKCLASS
automated classification tool and manual verification, we finally confirmed
40,223 B-type spectra. By cross-matching with published Halpha emission-line
star catalogs, we obtained a sample of 8298 Be stars, including 3787 previously
reported Be stars and 4511 newly discovered. Furthermore, by incorporating
color information, we classified the Be star sample into Herbig Be stars and
Classical Be stars. In total, we identified 3363 Classical Be stars and 35
Herbig Be stars. The B-type and Be star catalogs derived in this study,
together with the code used for model training, have been publicly released to
facilitate community research.
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