Open RuthAngus opened 9 years ago
Okay fine, I am surprised; he couldn't explain that apokasc figure? It is just magic that we did the SAME THING WITH THE SAME DATA and got totally different results? I am pretty upset about that.
With this poster child now -- let's focus on this one -- can you show me the comparison of the FFT, the L-S, and the superpgram?
Here's the fft, lombscargle and superpgram, with a zoomed-in version. They look super-similar, but then these signals are pretty giant!
Okay this looks great! I am happy now.
Let's now play some games where we average down the data to longer and longer exposure times and see what happens. Also, both constant exposure time (same for every data point) and also random exposure times.
Ok, I'm on it!
The bad news is that Dan Huber didn't have any new insight to offer re finding the modes in the poster child. "They should just pop right out of the Fourier transform". I am still working on this...
The good news is that I have implemented something like what he uses to measure delta nu, described in this paper: http://arxiv.org/abs/0910.2764
You compute ACFs for lots of sections of the Fourier transform and add them up (horrendous, but gets the job done!)
Top panel shows the FFT of KIC 6442183. Middle panel shows ACFs calculated for different sections of the FFT. Darker = more correlated. Bottom panel shows the middle panel collapsed along the horizontal axis.