Proposal
I have always found astronomy to be very inspiring. I began my college career as an astronomy major. Over the past few months, I have grown increasingly attracted to the idea of studying astronomy again. After searching for interesting astronomy datasets, I found the Sloan Digital Sky Survey. I first learned about SDSS in my freshman year of college, but I forgot about it until very recently. SDSS has a unique search interface, as it primarily uses SQL commands to generate data.
For this project, I will be using SQL commands from SkyServer to construct my datasets. I may also reference an older dataset that I found on kaggle. Depending on what I can find on SkyServer, I would like to see if I can use the data to identify the classification of the stars found in SDSS. If there is not enough data available to organize stars by class, I will perform some exploratory analysis on the data I can find and I will provide plots and summary information, such as masses, population of galaxies versus stars in the survey, and averages for the different celestial bodies. If I can figure it out, I would like to see if I can develop a map using the 3D coordinates available.
Links
http://skyserver.sdss.org/dr16/en/tools/search/sql.aspx
https://www.kaggle.com/brsdincer/star-type-classification
Other ideas
Just in case, I will list some other ideas that came to mind for this project.
I could parse through all of Stephen Hawking’s books to try and conclude who Hawking’s favorite scientist was. I am actually quite interested in this question, I think it could be an enjoyable project. After a quick search, I could not find any of his books available online, but perhaps I am not looking in the right places.
I could analyze exoplanets and possible exoplanets found by the Kepler satellite.