# 2021 - Week 3

This week was spent building up the dataset that I want to train on. Based on the Stella paper, I will be picking out eclipses from the light curves and determining a “best window range” that will give the model at least one full eclipse to look at. To do this, I have to find a couple of things first: 1) what is the period and 2) what is the eccentricity. I also have to do something called phase folding, which is folding the light curve over onto itself after every period. If it works out correctly, the eclipses will line up with each “fold” and we will get two eclipses, the primary and the secondary. Pretty cool, huh?

So I calculate the period using the same statistical classifier I created last year, which generated two different periods (one from the Autocorrelation Function and another from the Box Least Squares) and then I graph the phase folding to make sure the period is correct. But which period is correct? Well, I’m still working on it, but the goal is to apply a gaussian curve to the phase fold based on the periods, and pick the one that fits the data best. That will take a bit of work, though. Wish me luck!