In search of the missing spectral type

Professor: Chris Theissen

Description: Information about stars is embedded in their “spectral type” (temperature, gravity, metallicity). We have a well-defined spectral sequence that still contains a few gaps. This project will combine photometric and spectroscopic data to search for missing spectral types.

Preferred Qualifications: Python, databases, statistics, plotting, general astronomy knowledge.