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 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:

1. Build the star lists: FgcmBuildStarsTask
2. Run the fitter until convergence: FgcmFitCycleTask
3. 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.

See also

See Command-line task argument reference for details and additional options.

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...

See also

See the FgcmCalibrateTractTask API reference for complete details.

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