Federica Bianco and BJ Fulton (LCOGT) pointed out that in our test of lucky imaging pipelines, our blind deconvolution runs—which try to find the high resolution scene which explains all of the data—fail to detect a faint star which is clearly there in the traditional lucky imaging stack. Fundamentally the issue is that you can't deconvolve and also maintain high signal-to-noise. We really should reconvolve our deconvolved scenes as we go. This is a big issue for those of us trying to get away from simple
co-adding of images; co-adding is very easy to understand, and preserves some aspects of signal-to-noise (though not all, because of its treat-all-data-the-same properties).
In the morning, I re-worked my forward-going Sloan Atlas schedule. Writing a book is hard, at least for someone as easily distracted as me.