In the next major release of the LSST stack, the system for measuring the properties of sources will be replaced by a new one, housed mostly in the new
meas_base package. In addition to providing new
Task classes and a new plugin interface for measurement algorithms, this overhaul also includes changes to the schemas of the catalogs produced by the measurement framework. The new framework will not be entirely complete as of the next release, but it will have sufficient functionality to replace the old framework as the default. The old system will remain available via config on the S14 final release, but will be removed entirely before the W15 release.
The main entry point for the new measurement framework is the new
SingleFrameMeasurementTask class (in
meas_base), which is intended as an almost drop-in replacement for the current
SourceMeasurementTask (in meas_algorithms). It's not drop-in replacement, because it has different plugins, a slightly different slot system, and an entirely different output schema - so we will use it everywhere SourceMeasurementTask was used before, but when changing other configuration settings from their defaults - particularly those that deal with the measurement algorithms or their outputs, you'll need to be careful to use configuration values that are consistent with the measurement tasks you're useing. We've provided configuration instructions to make that easy, as described in the next section.
SingleFrameMeasurementTask combines the work previously done by two classes, the old
SourceMeasurementTask and the C++
MeasureSources class. It initializes the plugins (which determines the schema) in its constructor, then invokes the plugins on each source in the image, replacing neighbors with noise as it does so (this is delegated to the
NoiseReplacer class, which replaces the
ReplaceWithNoiseTask subtask). Unlike
SingleFrameMeasurementTask does not do forced photometry (see below). Sources are also processed in a slightly different order (see Simultaneous Multi-Object Measurement).
Reverting to the Old Framework
For the present, you will continue to support the measurement.py task in meas_algorithms. The measurement task used by processCcd and processCoadd is controlled by configurations items in CalibrateConfig and ProcessImageConfig, and can be retargeted back to the original meas_algorithms framework using the following python code:
from lsst.meas.algorithms.measurement import SourceMeasurementTask
Schema Changes and Versioning
Some care has been taken to make all of the tasks called by processImage sensitive to which measurement framework and schema version are in use, so that the pipeline will work with either measurement task. However, the developer should be careful when accessing or adding fields to the schemas to know which measurement task and which naming conventions are in effect. For new code, we encourage the use of the meas_base measurement framework and schema version=1 tables.
Here are some examples where you must use schema=0 names if you revert to the old framework:
- Code which adds a field by name to the schema.
- Plugin and slot names should follow the version: e.g., "centroid.sdss" for the old framework and "base_SdssCentroid" for the new.
- Config items for tasks which name specific fields, such as "badFlags" in the StarSelector configurations.
NOTE: If you are reading this document prior to the changeover to the end of Summer 14, just the opposite instructions will hold for using the New Framework. That is, you must retarget the above 3 tasks using the
SingleFrameMeasurementTask, which resides in
Schema Changes and Versioning
The changes to
Schema objects to support the new measurement framework are handled by a new versioning mechanism, which allows the old behavior (necessary for the old framework) to coexist with the new behavior in the stack. A
Schema with version=0 corresponds to one appropriate for use with the old
SourceMeasurementTask, while version>0 corresponds to
SingleFrameMeasurementTask and the new forced photometry tasks. Here are the differences between versions: