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: ts_aos
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Labels:
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Story Points:10
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Epic Link:
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Team:Telescope and Site
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Urgent?:No
Description
Evaluate and document performance for ComCam closed loop for high density fields especially in the context of blended sources
Attachments
Activity
Pipeline Configuration:
# This yaml file is used to define the tasks and configuration of
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# a Gen 3 pipeline used for testing in ts_wep.
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description: wep basic processing test pipeline
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# Here we specify the corresponding instrument for the data we
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# will be using.
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instrument: lsst.obs.lsst.LsstCam
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# Then we can specify each task in our pipeline by a name
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# and then specify the class name corresponding to that task
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tasks:
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isr:
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class: lsst.ip.isr.isrTask.IsrTask
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# Below we specify the configuration settings we want to use
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# when running the task in this pipeline. Since our data doesn't
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# include bias or flats we only want to use doApplyGains and
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# doOverscan in our isr task.
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config:
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connections.outputExposure: 'postISRCCD'
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doBias: False
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doVariance: False
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doLinearize: False
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doCrosstalk: False
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doDefect: False
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doNanMasking: False
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doInterpolate: False
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doBrighterFatter: False
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doDark: False
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doFlat: False
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doApplyGains: True
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doFringe: False
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doOverscan: True
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generateDonutCatalogWcsTask:
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class: lsst.ts.wep.task.GenerateDonutCatalogWcsTask.GenerateDonutCatalogWcsTask
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# Here we specify the configurations for pointing that we added into the class
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# GenerateDonutCatalogWcsTaskConfig.
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config:
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filterName: 'g'
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referenceSelector.doMagLimit: True
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referenceSelector.magLimit.maximum: 15.90
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referenceSelector.magLimit.minimum: 8.74
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referenceSelector.magLimit.fluxField: 'g_flux'
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doDonutSelection: True
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donutSelector.fluxField: 'g_flux'
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donutSelector.donutRadius: 80
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estimateZernikesCwfsTask:
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class: lsst.ts.wep.task.EstimateZernikesCwfsTask.EstimateZernikesCwfsTask
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config:
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# And here we specify the configuration settings originally defined in
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# EstimateZernikesCwfsTaskConfig.
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donutTemplateSize: 160
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donutStampSize: 160
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initialCutoutPadding: 5
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LGTM
Closed loop converges - with the pointing positions the analysis is repeatable
Bryce Kalmbach Could you add an image of the camera field with all the donuts ? 
Sandrine Thomas
added a comment - Bryce Kalmbach Could you add an image of the camera field with all the donuts ? 
Results are stored at UW in: /epyc/projects/lsst_comm/closedLoopTests