Or Graur (AMNH, Tel Aviv) showed up and he, Perez-Giz, and I discussed possible projects to reformulate and improve the models of supernovae that Graur is using to make discoveries in the SDSS and BOSS spectroscopy. I gave them copies of the HMF paper with Tsalmantza and encouraged them to think about extending the wavelength domain of the models as well as looking for coherent or consistent residuals. This is a nice sandbox for thinking about models that are data-driven but have lots of informative prior information.
On the lucky imaging front—and we need a new name for this project (since we aren't doing lucky imaging; are we doing plucky imaging?)—Bianco sent us all 30,000 frames of data she has on the difficult triple-star system, and we are running them all. The results look nice, but it looks to my eye like the signal-to-noise in the data is dominated by the best-seeing images. That is, traditional lucky imaging (which throws out the vast majority of the data) may not be throwing out as much signal-to-noise as I originally had imagined.
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