The James Webb Space Telescope captures breathtaking images of nearby galaxies, but the raw data requires sophisticated processing to reveal the delicate spiral arms, star-forming regions, and cosmic dust that make each galaxy unique. PJPipe tackles the specific challenges of processing extended galactic structures that often confound standard reduction pipelines, transforming noisy mosaics into publication-ready astronomical treasures.
Built as a powerful wrapper around STScI’s official JWST pipeline, PJPipe excels at the technical nuances that matter for galaxy research. It implements advanced NIRCam destriping algorithms to eliminate detector artifacts, handles the complexities of MIRI coronagraph data, performs sophisticated background matching across large mosaics, and applies precise astrometric corrections. The pipeline leverages parallel processing for speed while maintaining a researcher-friendly interface through simple TOML configuration files, making complex reductions accessible to the broader astronomical community.
Developed by the PHANGS team for their groundbreaking survey of nearby galaxies, PJPipe has already contributed to major discoveries about galactic structure and star formation. Whether you’re studying spiral density waves, mapping stellar nurseries, or investigating supermassive black holes, this specialized toolkit transforms JWST’s incredible sensitivity into scientifically robust datasets ready for analysis and publication.
⭐ Stars: 21
💻 Language: Python
🔗 Repository: PhangsTeam/pjpipe