What a amazing.

Different colors and symbols mean different variability types. The majority of the biggest cluster above (blue one) might be non-variable stars, even though the cluster is overlapped with tons of variable stars.

With these kind of indice (I have multiple indice derived from light-curves), I used a machine learning technique to classify each of the variability. And, a preliminary result is pretty amazing.. It can classify each of class with very high accuracy.

I also have totally different kind of indices I didn't implement yet, so if I use those indice, I guess our algorithm could beat any of previous algorithms with a factor of (at least) ~2. For a specific variability type, maybe the factor would be bigger than 5 or 10.


Nevertheless, I'm exciting now hehe :)