detalle del documento
IDENTIFICACIÓN

oai:arXiv.org:2410.17753

Tema
Astrophysics - Solar and Stellar A...
Autor
Edwin, D. Mathew, Blesson Shridharan, B. Valsan, Vineeth Nidhi, S. Bhattacharyya, Suman Kartha, Sreeja S. Robin, T.
Categoría

ciencias: astrofísica

Año

2024

fecha de cotización

30/10/2024

Palabras clave
sample late-type emission-line sources
Métrico

Resumen

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 H-alpha in all late-type stellar spectra.

A dataset 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 excess sources, 4,669 post-main-sequence candidates, 9,718 Fe/Ge/Ke sources, and 23,264 dMe sources.

From a cross-match with known databases, we found that 29,222 sources, comprising 65 IR excess sources, 7,899 Fe/Ge/Ke stars, 17,533 dMe stars, and 3,725 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 4 groups based on the presence of Hydrogen and Calcium emission lines.

This work presents a large dataset of late-type emission-line stars, which can be used to study active phenomena in late-type stars.

;Comment: Accepted for publication in RAA, 24 pages, 12 figures, 2 tables

Edwin, D.,Mathew, Blesson,Shridharan, B.,Valsan, Vineeth,Nidhi, S.,Bhattacharyya, Suman,Kartha, Sreeja S.,Robin, T., 2024, Spectroscopic study of late-type emission-line stars using the data from LAMOST DR6

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