lsst.ap.pipe

The lsst.ap.pipe module links together a set of common image processing tasks so that a user may run one command on a dataset of raw, ingested images rather than several. The Alert Production (AP) pipeline includes the following key data processing Tasks for LSST Prompt Data Products: IsrTask, CharacterizeImageTask, CalibrateTask, ImageDifferenceTask, and DiaPipelineTask.

At present, the alert production pipeline is implemented using two separate frameworks that store and retrieve data from “Butler” repositories in incompatible ways:

Overview

Using lsst.ap.pipe in Gen 2

Using lsst.ap.pipe in Gen 3

Contributing

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

Script reference

Task reference

Command-line tasks

ApPipeTask

Command-line task representing the entire AP pipeline.

Python API reference

lsst.ap.pipe Package

Classes

ApPipeConfig(*args, **kw)

Settings and defaults for ApPipeTask.

ApPipeTask(butler, *args, **kwargs)

Command-line task representing the entire AP pipeline.