We will once again use the data from Lab 2 - use your prior model and H-R diagram from last week. As a reminder, Hertzsprung–Russell diagrams are visualizations that show the relationship between the brightness of stars and their temperatures. Review H-R diagrams here.
The dataset for this
assignment can be found as a csv file in the data folder of
your repository. This dataset represents data from over six thousand
stars as taken from the General Catalogue of Trigonometric Stellar
Parallaxes. There are only four variables in the provided dataset:
Vmag: Apparent visual band magnitude, a measure of
brightness. Don’t worry about the units for the purposes of this
lab.Bvcol: The color of the star, which usually corresponds
to the temperature of the star (generally, negative values correspond to
hot blueish stars; values around 0.5 are white, and values above 1 or so
are cooler orange to red stars). Don’t worry about the units for the
purposes of this lab.parallax: parallax in arcseconds, a measure of the
distance of the star from Earthclass: the color index of the star, another measure of the
temperature of a star. The stars contained in today's dataset are of the following classes, arranged in order of decreasing temperature (i.e., B class are the hottest in the dataset): B, A, F, G, K, M. (even hotter O class stars exist, but we don't have any today!)There should only be one submission per team on Gradescope. All team members must make at least one meaningful commit to the repository for this week's lab.