yh_82367

surprisingly not that long. We started this in Feb without any expectation that it would work at all, and after 2-3 weeks of playing with things they were working great.

yes and no. Most exoplanet detections so far have been indirect: people just search for the dimming from the eclipse or similar other methods. So you're right about that. But recently we're starting to actually directly take sensitive enough images to be able to see planets (see http://planetimager.org). They aren't using NNs yet. But there have been discussions of using NNs for various aspects of those searches.

Bob?

yes, in principle you're right. But in this case, the answer from the neural nets is so incredibly close to the true answer, that we think we can trust it for most purposes. If someone really wanted the most accurate answer, then they can start from the NN answer and do a proper model fitting procedure, which of course fits a simulated model with all the appropriate physics in it to the data.

hi, Yashar here (one of the authors). These NNs were really fast to train. A day or so. We trained them on half a million simulated images. Then they're good to go for the analysis of any new data. We don't need to keep on training them as we get more data.