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, AlardLuptonSubtractTask, DetectAndMeasureTask, and DiaPipelineTask.

At present, the alert production pipeline is implemented using the Gen 3 framework:

• ApPipe is an lsst.pipe.base.Pipeline that reads and writes data using the lsst.daf.butler package.

Overview

• Overview of the AP pipeline

Using lsst.ap.pipe in Gen 3

• Getting started with the AP pipeline (Gen 3)
• Running the AP pipeline (Gen 3)
• Setting up the Alert Production Database for ap_pipe
• Running the AP pipeline in the Batch Production System (bps)

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

Python API reference

lsst.ap.pipe Package