Update formatting

doc/lsst.ip.diffim/tasks/lsst.ip.diffim.DecorrelateALKernalSpatialTask.rst

@@ -8,9 +8,10 @@ Pipe-task that removes the neighboring-pixel covariance in an
 image difference that are added when the template image is
 convolved with the Alard-Lupton PSF matching kernel.
 
-##########################
+.. _lsst.ip.diffim.DecorrelateALKernelSpatialTask-description:
+
 Description
-##########################
+==================
 
 This task is a simple wrapper around @ref DecorrelateALKernelTask,
 which takes a `spatiallyVarying` parameter in its `run` method. If

doc/lsst.ip.diffim/tasks/lsst.ip.diffim.DecorrelateALKernelTask.rst

@@ -8,9 +8,10 @@ Pipe-task that removes the neighboring-pixel covariance in an
 image difference that are added when the template image is
 convolved with the Alard-Lupton PSF matching kernel.
 
-##########################
+.. _lsst.ip.diffim.DecorrelateALKernelTask-description:
+
 Description
-##########################
+==================
 
 The image differencing pipeline task @link
 ip.diffim.psfMatch.PsfMatchTask PSFMatchTask@endlink and @link

doc/lsst.ip.diffim/tasks/lsst.ip.diffim.DiaCatalogSourceSelectorTask.rst

@@ -6,15 +6,18 @@ DiaCatalogSourceSelectorTask
 
 A task that selects sources for Kernel candidates.
 
-###########
+.. _lsst.ip.diffim.DiaCatalogSourceSelectorTask-description:
+
 Description
-###########
+==================
 
 A naive star selector based on second moments. Use with caution.
 
-#################
+.. _lsst.ip.diffim.DiaCatalogSourceSelectorTask-debug:
+
+
 Debug Variables
-#################
+==================
 
 DiaCatalogSourceSelectorTask has a debug dictionary with the following keys:
 
@@ -25,9 +28,10 @@ displayExposure : `bool`
 pauseAtEnd `bool`
     if True wait after displaying everything and wait for user input
 
-#########
+.. _lsst.ip.diffim.DiaCatalogSourceSelectorTask-examples:
+
 Examples
-#########
+==================
 
 For example, put something like:
 

doc/lsst.ip.diffim/tasks/lsst.ip.diffim.DipoleMeasurementTask.rst

@@ -6,9 +6,10 @@ DipoleMeasurementTask
 The list of badFlags will be used to make a list of keys to check for measurement flags on.  By
 default the centroid keys are added to this list
 
-##########################
+.. _lsst.ip.diffim.DipoleMeasurementTask-description:
+
 Description
-##########################
+==================
 
 This class provides a default configuration for running Source measurement on image differences.
 
@@ -77,9 +78,8 @@ manually editing the config and running SingleFrameMeasurementTask. For example:
 
     schema = afwTable.SourceTable.makeMinimalSchema()
     task = SingleFrameMeasurementTask(schema, config=config)-
-##########################
-Debug variables
-##########################
+
+
 
 The ``pipetask`` command line interface supports a
 flag ``--debug`` to import ref:  supports a flag `--debug`` to import debug.py from your PYTHONPATH; see :ref:`lsstDebug`

doc/lsst.ip.diffim/tasks/lsst.ip.diffim.ImagePsfMatchTask.rst

@@ -10,9 +10,10 @@ A schema for the selection and measurement of candidate lsst.ip.diffim.KernelCan
 defined, and used to initize subTasks selectDetection (for candidate detection) and selectMeasurement
 (for candidate measurement).
 
-##########################
+.. _lsst.ip.diffim.ImagePsfMatchTask-description:
+
 Description
-##########################
+==================
 
 Build a Psf-matching kernel using two input images, either as MaskedImages (in which case they need
 to be astrometrically aligned) or Exposures (in which case astrometric alignment will happen by
@@ -52,9 +53,10 @@ Finally, a spatial model is built using all currently-acceptable candidates,
 and the spatial model used to derive a second set of (spatial) residuals
 which are again used to reject bad candidates, using the same thresholds as above.
 
-##########################
+.. _lsst.ip.diffim.ImagePsfMatchTask-invoke:
+
 Invoking the Task
-##########################
+==================
 
 There is no run() method for this Task.  Instead there are 4 methods that
 may be used to invoke the Psf-matching.  These are
@@ -72,9 +74,10 @@ return a Psf-matched and template subtracted image.
 
 See each method's returned lsst.pipe.base.Struct for more details.
 
-##########################
-Debug variables
-##########################
+.. _lsst.ip.diffim.ImagePsfMatchTask--debug:
+
+Debug Variables
+==================
 
 The ``pipetask`` command line interface supports a
 flag ``--debug`` to import ref:  supports a flag `--debug`` to import debug.py from your PYTHONPATH; see :ref:`lsstDebug`
@@ -120,8 +123,11 @@ Note that if you want addional logging info, you may add to your scripts:
     import lsst.utils.logging as logUtils
     logUtils.trace_set_at("lsst.ip.diffim", 4)
 
+.. _lsst.ip.diffim.ImagePsfMatchTask-examples:
+
 Examples
---------
+==================
+
 A complete example of using ImagePsfMatchTask
 
 Create a subclass of ImagePsfMatchTask that allows us to either match exposures, or subtract exposures:

doc/lsst.ip.diffim/tasks/lsst.ip.diffim.ModelPsfMatchTask.rst

@@ -27,7 +27,7 @@ It is important to note that in the code, the "template" Psf is the Psf
 that the science image gets matched to.  In this sense the order of template and science image are
 reversed, compared to ImagePsfMatchTask, which operates on the template image.
 
-.. _lsst.ip.diffim.ModelsPsfMatchTask-debug
+.. _lsst.ip.diffim.ModelPsfMatchTask-debug:
 
 Debug variables
 ===============
@@ -67,6 +67,8 @@ Note that if you want additional logging info, you may add to your scripts:
     import lsst.utils.logging as logUtils
     logUtils.trace_set_at("lsst.ip.diffim", 4)
 
+.. _lsst.ip.diffim.ModelPsfMatchTask-examples:
+
 Examples
 =========
 A complete example of using ModelPsfMatchTask