Transform raw JWST observations into calibrated science-ready data with interactive Jupyter notebooks that guide you through the complete pipeline from cosmic photons to publishable results.

The James Webb Space Telescope captures the universe’s most distant and faint signals, but those raw photons need sophisticated processing to reveal their astronomical secrets. Each observation undergoes complex calibrations to remove instrumental signatures, correct for atmospheric effects, and transform detector counts into scientifically meaningful measurements—a process that can be daunting for researchers new to JWST data.

This collection of Jupyter notebooks demystifies the entire JWST calibration pipeline, providing hands-on tutorials for every instrument and observing mode. Whether you’re processing MIRI coronagraphic observations of exoplanets, NIRSpec spectroscopy of distant galaxies, or time-series photometry of stellar transits, these notebooks guide you from Level 0 raw files to Level 3 science products. Each notebook runs in demo mode with real archive data, but can easily adapt to your own observations. The modular design lets you customize processing steps, tweak parameters for specific science cases, and understand exactly how your data transforms at each stage.

Developed by the Space Telescope Science Institute, these notebooks serve as both educational resources and production tools for the global astronomical community. They’re battle-tested with real JWST observations and kept current with the latest pipeline versions, ensuring your science extracts every photon’s worth of cosmic information.

⭐ Stars: 38
💻 Language: Jupyter Notebook
🔗 Repository: spacetelescope/jwst-pipeline-notebooks