Kepler Light Curve Analysis (Data Science)
Given data from the Kepler space telescope, I identified possible transits and classified them into 5 exoplanets
In order to perform the needed analysis, I came up with a standard process for estimating the timing of the transits as well as their depth (shown by figure to the right). Then I manually searched through the data to pick out and quantify all possible transits. I was able to identify transits based on the box-like dip which can be seen in a flux-time graph of the star in question. I then classified each transit based on my calculations for the radius of the planet that transited and the duration of said transit (shown on figure below).
Using the collected data, I calculated key parameters of the planets, including how far away they are from their star, how quickly they orbit, and at what angle to earth is are their orbits.