lsst.jointcal¶

The lsst.jointcal module simultaneously optimizes the astrometric and photometric calibrations of a set of astronomical images.

Contributing¶

lsst.jointcal is developed at https://github.com/lsst/jointcal. You can find Jira issues for this module under the jointcal component.

Python API reference¶

lsst.jointcal Package¶

Functions¶

inversePolyTransform(forward, domain, …)

Classes¶

`Associations`
`AstrometryFit`
`AstrometryMapping`
`AstrometryModel`
`AstrometryTransform`
`AstrometryTransformIdentity`
`AstrometryTransformLinear`
`AstrometryTransformLinearRot`
`AstrometryTransformLinearScale`
`AstrometryTransformLinearShift`
`AstrometryTransformPolynomial`
`AstrometryTransformSkyWcs`
`BaseTanWcs`
`CcdImage`
`Chi2Statistic`
`ChipVisitAstrometryMapping`
`ChipVisitFluxMapping`
`ChipVisitMagnitudeMapping`
`ChipVisitPhotometryMapping`
`ConstrainedAstrometryModel`
`ConstrainedFluxModel`
`ConstrainedMagnitudeModel`
`ConstrainedPhotometryModel`
`FitterBase`
`FluxTransformChebyshev`
`FluxTransformSpatiallyInvariant`
`IdentityProjectionHandler`
`JointcalConfig`	Configuration for JointcalTask
`JointcalControl`
`JointcalTask`(**kwargs)	Astrometricly and photometricly calibrate across multiple visits of the same field.
`MagnitudeTransformChebyshev`
`MagnitudeTransformSpatiallyInvariant`
`MinimizeResult`
`OneTPPerVisitHandler`
`PhotometryFit`
`PhotometryMapping`
`PhotometryMappingBase`
`PhotometryModel`
`PhotometryTransform`
`PhotometryTransformChebyshev`
`PhotometryTransformSpatiallyInvariant`
`ProjectionHandler`
`SimpleAstrometryMapping`
`SimpleAstrometryModel`
`SimpleFluxModel`
`SimpleMagnitudeModel`
`SimplePhotometryModel`
`SimplePolyMapping`
`TanPixelToRaDec`
`TanRaDecToPixel`
`TanSipPixelToRaDec`

Class Inheritance Diagram¶

lsst.jointcal.cameraGeometry Module¶

Classes¶

CameraModel(wcsList, detectors, camera[, n]) Convert a jointcal SkyWcs into a distortion model and detector positions (TODO) that can be used by cameraGeom.

Class Inheritance Diagram¶