Details
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Type:
Story
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Status: Done
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Resolution: Done
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Fix Version/s: None
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Component/s: None
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Labels:None
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Story Points:1
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Epic Link:
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Team:Data Release Production
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Urgent?:No
Description
We would like to run Camera code and scripts regarding sensor characterization at NCSA.
The list of detector effects is long (c.f., https://confluence.lsstcorp.org/display/DM/Sensor+Characterization+and+ISR#/) but we can come up in this ticket with priorities (e..g, CTI correction, NL-crosstalk, bias instability, etc.) This ticket will serve as a parent ticket to other tickets related to this work.
We should identify the data that is needed (and if that data is already at NCSA), and the code/scripts needed to run it.
Attachments
Issue Links
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DM-26352 Run CTI correction code by A. Snyder et al. at NCSA
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- To Do
Activity
Data:
Every file that has been transferred to NCSA: https://confluence.lsstcorp.org/pages/viewpage.action?spaceKey=~emorganson&title=File+Transfer+and+Ingest+Pages
SLAC data:
Runs of Interest:
Nine Science and Four Corner Raft EO Runs: https://confluence.slac.stanford.edu/pages/viewpage.action?spaceKey=LSSTCAM&title=Nine+Science+and+Four+Corner+Raft+EO+Runs
Run 4: https://confluence.slac.stanford.edu/display/LSSTCAM/Full+Focal+Plane+Data+Taking+-+Run4
For I&T TS8 single raft data: https://confluence.slac.stanford.edu/display/LSSTCAM/List+of+Good+Runs
for the list of Good Runs for each Raft.
List of measurements to replicate:
- Serial CTI measurement and correction (Snyder+19, Snyder+20(in prep.): PUB-109):
DM-26352 - Crosstalk measurements: Adam Snyder is working on changing/improving their current xtalk algorithm; they will produce new analyses, so it is recommended to wait until then:
DM-26542 - Bias instabilities: Robert has been looking into this with recent BOT and ComCam data
- Fe55 analyses (e.g., gain):
DM-26468 - Read Noise
DM-26484 - Bright Pixels:
DM-26481 - Dark Current:
DM-26487 - Parallel, serial CTI:
DM-26516 - Blooming Full well
- Nonlinearity
- Pixel Response Non-Uniformity
- Quantum Efficiency (ugrizy)
Just in case you're about to work on it, I just wanted to say I don't think the Quantum Efficiency (ugrizy) one is worth doing. There may be others, too, but that's the main one I'd drop.
Let's ticket the crosstalk work, even if we're not currently able to work on it. I'll do so.
From conversations with Jim Chiang: eotest was started around 2012, and the idea was to use the DM stack as much as possible. They ended up using mostly the low-level primitives.
LCA-10103 describes the algorithms that are implemented in eotest: LCA-10103-A-APPROVED_%28CCD_EOTest_Methods%29 copy.pdf
On the CCP stand-up meeting today (https://confluence.lsstcorp.org/display/DM/2020-08-17+Calibration+Products+Standup), we agreed that the CTI correction work by Adam Snyder and colleagues at SLAC should be a priority (ticket:
DM-26352) Robert has been working recently on reproducing the analysts on bias stability by J. Chiang, S. Digel, A. Roodman, and others at SLAC on ComCam data (e.g., https://lsstc.slack.com/archives/CQ4SMS3QQ/p1596835699261700 and https://lsstc.slack.com/archives/CBV7K0DK6/p1597414740316900 ).