FgcmCalibrateTractTableTask¶
FgcmCalibrateTractTableTask 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 track instrumental changes from observations in a single tract.
Running FgcmCalibrateTractTableTask requires a look-up table generated by FgcmMakeLutTask.
FgcmCalibrateTractTableTask uses FgcmBuildStarsTableTask to extract stars from sourceTable_visit parquet tables.
If only individual calexp source catalog files are available, use FgcmCalibrateTractTask instead.
FgcmCalibrateTractTableTask is available as a command-line task, fgcmCalibrateTractTable.py.
Processing summary¶
FgcmCalibrateTractTableTask runs the full fgcmcal processing, from building star lists to fitting to the output of final products.
Specifically, it will:
- Build the star lists: FgcmBuildStarsTableTask
- Run the fitter until convergence: FgcmFitCycleTask
- Output the final data products: FgcmOutputProductsTask
fgcmCalibrateTractTable.py command-line interface¶
fgcmCalibrateTractTable.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
tractmust be specified.
See also
See Command-line task argument reference for details and additional options.
Python API summary¶
from lsst.fgcmcal.fgcmCalibrateTractTable import FgcmCalibrateTractTableTask
-
class
FgcmCalibrateTractTableTask Calibrate a single tract using fgcmcal, using sourceTable_visit (parquet) input catalogs
...
-
attribute
config Access configuration fields and retargetable subtasks.
-
method
run Run the calibrations for a single tract with fgcm
...
-
method
runDataRef Run full FGCM calibration on a single tract, including building star list, fitting multiple cycles, and making outputs
...
See also
See the FgcmCalibrateTractTableTask API reference for complete details.
Butler datasets¶
When run as the fgcmCalibrateTractTable.py command-line task, or directly through the runDataRef method, FgcmCalibrateTractTableTask obtains datasets from the input Butler data repository and persists outputs to the output Butler data repository.
Note that configurations for FgcmCalibrateTractTableTask, 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_tractphotometric 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
fgcmOutputProducts¶
- Default
lsst.fgcmcal.fgcmOutputProducts.FgcmOutputProductsTask- Field type
ConfigurableField
Configuration fields¶
connections¶
- Data type
lsst.pipe.base.config.Connections- Field type
ConfigField
convergenceTolerance¶
fgcmFitCycle¶
- Data type
lsst.fgcmcal.fgcmFitCycle.FgcmFitCycleConfig- Field type
ConfigField
Examples¶
fgcmCalibrateTractTable.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