July 8, 2014 12:00-2:00 PDT
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- Discussed Level 1: Level 1 Calibrated Exposure Processing and Level 1 Difference Imaging and Moving Object Processing
- Is ISR suitable for wavefront sensors? (They're out of focus, among other things.) Gregory to ask Chuck (Bo/Srini).
- Unclear how well we need to know the PSF for L1.
- We can use data from L1 or a previous DR to set initial conditions, but provenance points to that specific data.
- Use multifit outputs for DCR-corrected template generation?
- Filtering false positives?
- Where/when do glints and other artifacts get masked?
- Where do fakes get inserted and how? And how do we make sure they're flagged appropriately in the outputs?
- Do we have to insert into the template as well as the image?
- Do we have to process faked regions twice?
- Conditions/calibrations (bitemporal data):
- Butler handles all queries.
- But we need technologies underlying the butler.
- Gregory has a preference against numbers as code, but doesn't take git into account.
- git is not a conditions database.
- For data intended for tests, there is a third dimension beyond bitemporality: versioning.
- Need to have at least a metadata database, even if data itself is not in database.
- Gregory Dubois-Felsmann: Ask Chuck (Bo/Srini) if ISR as defined for science sensors is suitable for wavefront sensors.
- Kian-Tat Lim: Update Confluence pages with corrections from RHL and questions from this meeting.