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Spectroscopic Study of Late-type Emission-line Stars Using the Data from LAMOST DR6

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Abstract Low-mass emission-line stars belong to various evolutionary stages, from pre-main-sequence young stars to evolved stars. In this work, we present a catalog of late-type (F0 to M9) emission-line stars from the LAMOST Data Release 6. Using the scipy package, we created a Python code that finds the emission peak at Hα in all late-type stellar spectra. A data set of 38,152 late-type emission-line stars was obtained after a rigorous examination of the photometric quality flags and the signal-to-noise ratio of the spectra. Adopting well-known photometric and spectroscopic methods, we classified our sample into 438 infrared (IR) excess sources, 4669 post-main-sequence candidates, 9718 Fe/Ge/Ke sources, and 23,264 dMe sources. From a crossmatch with known databases, we found that 29,222 sources, comprising 65 IR excess sources, 7899 Fe/Ge/Ke stars, 17,533 dMe stars, and 3725 PtMS candidates, are new detections. We measured the equivalent width of the major emission lines observed in the spectra of our sample of emission-line stars. Furthermore, the trend observed in the line strengths of major emission lines over the entire late-type spectral range is analyzed. We further classified the sample into four groups based on the presence of hydrogen and calcium emission lines. This work presents a large data set of late-type emission-line stars, which can be used to study active phenomena in late-type stars.
Title: Spectroscopic Study of Late-type Emission-line Stars Using the Data from LAMOST DR6
Description:
Abstract Low-mass emission-line stars belong to various evolutionary stages, from pre-main-sequence young stars to evolved stars.
In this work, we present a catalog of late-type (F0 to M9) emission-line stars from the LAMOST Data Release 6.
Using the scipy package, we created a Python code that finds the emission peak at Hα in all late-type stellar spectra.
A data set of 38,152 late-type emission-line stars was obtained after a rigorous examination of the photometric quality flags and the signal-to-noise ratio of the spectra.
Adopting well-known photometric and spectroscopic methods, we classified our sample into 438 infrared (IR) excess sources, 4669 post-main-sequence candidates, 9718 Fe/Ge/Ke sources, and 23,264 dMe sources.
From a crossmatch with known databases, we found that 29,222 sources, comprising 65 IR excess sources, 7899 Fe/Ge/Ke stars, 17,533 dMe stars, and 3725 PtMS candidates, are new detections.
We measured the equivalent width of the major emission lines observed in the spectra of our sample of emission-line stars.
Furthermore, the trend observed in the line strengths of major emission lines over the entire late-type spectral range is analyzed.
We further classified the sample into four groups based on the presence of hydrogen and calcium emission lines.
This work presents a large data set of late-type emission-line stars, which can be used to study active phenomena in late-type stars.

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