Project Description
This project teaches students about how astronomers classify stars and the link between absorption lines and temperature. This project is an excellent introduction to how astronomers classify stars, and is a good precursor to teaching stellar evolution or galactic astronomy.
As they work through the project, students will learn that the lettering scheme for stellar classification initially came from examining absorption lines. Then students will classify stars by the peak wavelength of their spectra to learn about the modern classification system, which uses temperature to reorder the original types.
Students compare the old and new classification schemes, and a series of questions leads the students to understand an important property of stars – the connection between temperature and absorption line strength. They learn that for hydrogen alpha absorption to take place, a star needs to be just the right temperature — not too hot and not too cool.
Concepts
- Every star has a unique spectrum
- Absorption lines are caused by electron transitions in atoms
- The strength of absorption lines depends on the temperature of the star
- Classification can eventually lead to a deeper understanding of underlying physics
- Stars can be classified according to their spectrum using either absorption lines or continuum peak
Target Audience
Astronomy 101 students can use this project as an introduction to stars, after learning a bit about light but before learning about stellar evolution. High school students can use this activity as an application of their knowledge about spectra. Students who are interested in doing more involved projects on stars might use this activity as a way to acquaint themselves with stellar classification and working with SDSS spectra.
Classroom Time
The full activity can be done during one two-hour lab period. If pressed for time, the first activity (classifying by spectral class) can be assigned as a pre-lab.
Real World Relevance
This project takes the student deeper into the scientific process by using real data to derive actual information about distant stars.
Sample Solutions
To get a copy of the sample solutions, email us at sciserver-helpdesk@jhu.edu.