Faro Development status | | - Fall 2021 epic
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serverId | 9da94fb6-5771-303d-a785-1b6c5ab0f2d2 |
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key | DM-30748 |
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- Backlog epic:
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serverId | 9da94fb6-5771-303d-a785-1b6c5ab0f2d2 |
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key | DM-29525 |
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- Progress on conversion to parquet
- TeX conversions
| - KB: No updates on astrometry
- JC & ED looked at the TE1 metirc diff at the tract level. Were calculating from deep_coadd_ForcedSource tableand the commparison we should do is from deep_coadd_meas table
- KB: how shoudl we know this and find the doc?
- JC: dug through the yaml policy defns for conveting to parquet.
- CTS: schema Browser https://dm.lsst.org/sdm_schemas/browser/
- Units should be described in the schema browser
- CTS found bug in html conversopn p units are in the yaml fole for HSC
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serverId | 9da94fb6-5771-303d-a785-1b6c5ab0f2d2 |
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key | DM-32749 |
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TEx metric conversions: - Changed the default to use deep_coadd_meas in the base classes. This has mostly fixed the differences seen in comparison with the parquet tables. Still seeing small differences. Ready for internal team review.
- Will ask someone in pipelines to review the implementation of the TEx algorithm, once the internal code change review is done
PF: - close to done with AA1 metric - needsthe filtering SNR/flag filtering to be updated to work with the parquet format.
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serverId | 9da94fb6-5771-303d-a785-1b6c5ab0f2d2 |
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key | DM-32611 |
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- mostly done with comparison with a complately external catalogue. PoC level.
- RHL- take care about problems with the outside catalogues
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- Data processing campaigns
| | - RC2/DC2 reprocessing epic :
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server | JIRA |
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serverId | 9da94fb6-5771-303d-a785-1b6c5ab0f2d2 |
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key | DM-26911 |
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- w_2021_40 RC2:
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serverId | 9da94fb6-5771-303d-a785-1b6c5ab0f2d2 |
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key | DM-32248 |
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- w_2021_44 DC2 :
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columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
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serverId | 9da94fb6-5771-303d-a785-1b6c5ab0f2d2 |
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key | DM-32391 |
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- AuxTel
- AP/DiffIm
| - AuxTel data reduction is proceeding, currently tweaking PSFEX parameters with Merlin to handle both dense and sparse imaging fields. Next AuxTel run is Dec 6-9, we should have a chance to get another set of imaging data then. Should discuss benefits of adding r' filter of same field before it sets
- AuxTel is shallower so some exposures cannot be processed out of the box due to fewer stars
- What is the process to ask deep technical questions and process questions? What channels should be used for what? rubinobs-sitcom-surveys v rubinobs-science-verification
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