FgcmCalibrateTractTask¶

FgcmCalibrateTractTask will run the full fgcmcal processing cycle on a single tract with multi-band coverage. Note that the results will not be as robust as a full global calibration because of the limited ability to tract instrumental changes from observations in a single tract. Running FgcmCalibrateTractTask requires a look-up table generated by FgcmMakeLutTask.

FgcmCalibrateTractTask uses FgcmBuildStarsTask to extract stars from individual calexp source catalog files. If sourceTable_visit parquet tables are available, use of FgcmCalibrateTractTableTask is recommended in place of this task.

FgcmCalibrateTractTask is available as a command-line task, fgcmCalibrateTract.py.

Processing summary¶

FgcmCalibrateTractTask runs the full fgcmcal processing, from building star lists to fitting to the output of final products. Specifically, it will:

Build the star lists: FgcmBuildStarsTask
Run the fitter until convergence: FgcmFitCycleTask
Output the final data products: FgcmOutputProductsTask

fgcmCalibrateTract.py command-line interface¶

fgcmCalibrateTract.py REPOPATH [@file [@file2 ...]] [--output OUTPUTREPO | --rerun RERUN] [--id] [other options]

Key arguments:

REPOPATH: The input Butler repository’s URI or file path.

Key options:

--id:: The data IDs to process. The tract must be specified.

Python API summary¶

from lsst.fgcmcal.fgcmCalibrateTract import FgcmCalibrateTractTask

classFgcmCalibrateTractTask(butler=None, **kwargs): Calibrate a single tract using fgcmcal...

attributeconfig: Access configuration fields and retargetable subtasks.

methodrunDataRef(butler, dataRefs): Run full FGCM calibration on a single tract, including building star list, fitting multiple cycles, and making outputs...

Butler datasets¶

When run as the fgcmCalibrateTract.py command-line task, or directly through the runDataRef method, FgcmCalibrateTractTask obtains datasets from the input Butler data repository and persists outputs to the output Butler data repository. Note that configurations for FgcmCalibrateTractTask, and its subtasks, affect what datasets are persisted and what their content is.

Input datasets¶

camera: Camera geometry and detector object
fgcmLookupTable: FGCM look-up table produced by FgcmMakeLutTask

Output datasets¶

fgcm_stars: Reference catalog of standard stars. See FgcmOutputProductsTask
fgcm_photoCalib_tract: One fgcm_photoCalib_tract photometric calibration file is output for each visit / ccd / tract.
transmission_atmosphere_fgcm_tract: One atmospheric transmission curve is output for each visit.

Retargetable subtasks¶

fgcmBuildStars¶

Default: lsst.fgcmcal.fgcmBuildStars.FgcmBuildStarsTask
Field type: ConfigurableField

Task to load and match stars for fgcm

fgcmOutputProducts¶

Default: lsst.fgcmcal.fgcmOutputProducts.FgcmOutputProductsTask
Field type: ConfigurableField

Task to output fgcm products

Configuration fields¶

convergenceTolerance¶

Default: 0.005
Field type: float Field

Tolerance on repeatability convergence (per band)

doDebuggingPlots¶

Default: False
Field type: bool Field

Make plots for debugging purposes?

fgcmFitCycle¶

Data type: lsst.fgcmcal.fgcmFitCycle.FgcmFitCycleConfig
Field type: ConfigField

Config to run a single fgcm fit cycle

maxFitCycles¶

Default: 5
Field type: int Field

Maximum number of fit cycles

Examples¶

fgcmCalibrateTract.py /datasets/hsc/repo --rerun <rerun name> --id visit=26024^26028^26032^26036^26044^26046^26048^26050^26058^26060^26062^26070^26072^26074^26080^26084^26094^23864^23868^23872^23876^23884^23886^23888^23890^23898^23900^23902^23910^23912^23914^23920^23924^28976^1258^1262^1270^1274^1278^1280^1282^1286^1288^1290^1294^1300^1302^1306^1308^1310^1314^1316^1324^1326^1330^24494^24504^24522^24536^24538^23212^23216^23224^23226^23228^23232^23234^23242^23250^23256^23258^27090^27094^27106^27108^27116^27118^27120^27126^27128^27130^27134^27136^27146^27148^27156^380^384^388^404^408^424^426^436^440^442^446^452^456^458^462^464^468^470^472^474^478^27032^27034^27042^27066^27068 ccd=0..8^10..103 tract=9615

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