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-Line Task on a dataset of raw, ingested images rather than several. The Alert Production (AP) pipeline includes three key data processing Tasks for LSST Prompt Data Products: ProcessCcdTask (which includes IsrTask), ImageDifferenceTask, and AssociationTask.

Overview

• Overview of the AP pipeline

Using lsst.ap.pipe

• Getting started with the AP pipeline
• Running the AP pipeline
• Setting up the Alert Production Database for ap_pipe

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

• make_apdb.py

Task reference

Command-line tasks

ApPipeTask

Command-line task representing the entire AP pipeline.

Python API reference

lsst.ap.pipe Package

Classes

ApPipeConfig	Settings and defaults for ApPipeTask.
ApPipeTask(butler, *args, **kwargs)	Command-line task representing the entire AP pipeline.