.. py:currentmodule:: lsst.cp.pipe .. _lsst.cp.pipe: ############ lsst.cp.pipe ############ .. This module is used to produce the calibration products required to perform `instrument signal removal `_ for a camera. It currently can produce master bias, dark, fringe, and flat frames; bad pixel and column masks; the photon transfer curve and the child products of that, linearity models and brighter-fatter kernels; and the intra-detector crosstalk coefficients. .. _lsst.cp.pipe-using: Using lsst.cp.pipe ================== .. toctree:: :maxdepth: 1 constructing-calibrations .. _lsst.cp.pipe-contributing: Contributing ============ ``lsst.cp.pipe`` is developed at https://github.com/lsst/cp_pipe. You can find Jira issues for this module under the `cp_pipe `_ component. .. If there are topics related to developing this module (rather than using it), link to this from a toctree placed here. .. .. toctree:: .. :maxdepth: 1 Task reference ============== .. _lsst.cp.pipe-pipeline-tasks: Pipeline tasks -------------- .. lsst-pipelinetasks:: :root: lsst.cp.pipe .. _lsst.cp.pipe-command-line-tasks: Command-line tasks ------------------ .. lsst-cmdlinetasks:: :root: lsst.cp.pipe Tasks ----- .. lsst-tasks:: :root: lsst.cp.pipe :toctree: tasks .. _lsst.cp.pipe-scripts: Script reference ================ .. toctree:: :maxdepth: 1 scripts/plotPhotonTransferCurve.py .. _lsst.cp.pipe-pyapi: Python API reference ==================== .. automodapi:: lsst.cp.pipe :no-main-docstr: :no-inheritance-diagram: .. automodapi:: lsst.cp.pipe.cpFlatNormTask :no-main-docstr: :no-inheritance-diagram: .. automodapi:: lsst.cp.pipe.cpDarkTask :no-main-docstr: :no-inheritance-diagram: .. automodapi:: lsst.cp.pipe.cpFringeTask :no-main-docstr: :no-inheritance-diagram: .. automodapi:: lsst.cp.pipe.utils :no-main-docstr: :no-inheritance-diagram: