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A comment on Supersharp Images from New VLT Adaptive Optics. Parent comment

Re:Supersharp Images from New VLT Adaptive Optics by vanderZwan on Wednesday July 18, 2018 @11:18AM (#17559210)
Could one use that information the other way around to make estimates for expected "missing data" in Hubble images taken in areas where VLT has not looked yet, for example to decide where to look next?

<something something throw machine learning at it cliché>

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Re:Supersharp Images from New VLT Adaptive Optics by eisstrom on Wednesday July 18, 2018 @02:21PM (#17560827)
Not sure if you meant it like this but redshift estimation comes to my mind. The farther away a galaxy is, the redder it becomes. You can measure the distance (redshift) from galaxy spectra (with MUSE for example) but not from directly HST images. This mapping color -> redshift is called photo-z and was tested with MUSE data in an very famous area observed with HST, the Hubble Ultra Deep field. https://arxiv.org/abs/1710.05062
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