Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates

Understand

Stellar spectral classification is a fundamental tool of modern astronomy, providing insight into physical characteristics such as effective temperature, surface gravity, and metallicity.

• Accurate and fast spectral typing is an integral need for large all-sky spectroscopic surveys like the SDSS and LAMOST.
• Here, we present the next version of PyHammer, stellar spectral classification software that uses optical spectral templates and spectral line index measurements.
• PyHammer v2.0 extends the classification power to include carbon (C) stars, DA white dwarf (WD) stars, and also double-lined spectroscopic binaries (SB2).