PJPipe
Note that this pipeline requires Python 3.11 or above
PJPipe (the PHANGS-JWST-Pipeline) is a wrapper around the official STScI JWST Pipeline, for imaging data (not spectroscopy) with edits specific to the reduction of large mosaics and nearby galaxies with extended, diffuse emission.
Beyond the standard pipeline, PJPipe offers options for
NIRCam destriping
Dealing with the MIRI coronagraph
Background matching
Absolute astrometric correction
Alongside this, PJPipe is also highly parallelised for speed, and provides a simple, high-level interface via configuration files. The configuration page has configuration examples to get you imaging your data, but different datasets may need more specific tailoring.
If you make use of PJPipe in your work, please cite the PHANGS-JWST survey papers (Lee et al., 2022; Williams et al., in prep.), and do not hesitate to get in touch for help! You can open an issue if you run into problems.
Documentation
- Installation
- Configuration Files
- PJPipe Steps
- PJPipeline
- DownloadStep
- GaiaQueryStep
- MoveRawObsStep
- Lv1Step
- SingleTileDestripeStep
- Lv2Step
- GetWCSAdjustStep
- ApplyWCSAdjustStep
- LyotSeparateStep
- LyotMaskStep
- LevelMatchStep
- MultiTileDestripeStep
- PSFModelStep
- Lv3Step
- AstrometricCatalogStep
- AstrometricAlignStep
- MosaicIndividualFieldsStep
- AnchoringStep
- PSFMatchingStep
- ReleaseStep
- RegressAgainstPreviousStep
- Changelog
- Reference/API
- Pipeline
- Anchoring
- Apply WCS Adjust
- Astrometric Align
- Astrometric Catalog
- Download
- Gaia Query
- Get WCS Adjust
- Level Match
- Level 1
- Level 2
- Level 3
- Lyot Masking
- Lyot Separation
- Individual Field Mosaicking
- Move Raw Observations
- Multi-Tile Destriping
- PSF Matching
- PSF Modelling
- Regress Against Previous Version
- Release
- Single-Tile Destriping
- Utilities