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Cutana

Cutana is a high-performance Python pipeline for creating astronomical image cutouts from large FITS datasets. It provides both an interactive Jupyter-based UI and a programmatic API for processing survey data such as ESA Euclid observations.

Cutana demo

Optimised for Euclid

Cutana is currently optimised for Euclid Q1/IDR1 data. Some defaults and assumptions are Euclid-specific:

  • Flux conversion expects the MAGZERO header keyword (configurable via config.flux_conversion_keywords.AB_zeropoint) to convert to Jy
  • Filter detection patterns are tuned for Euclid bands (VIS, NIR-Y, NIR-H, NIR-J)
  • FITS structure assumes one file per channel/filter

For other surveys, you may need to adjust these settings or disable flux conversion (config.apply_flux_conversion = False).

Where to start

If you want to Read
Install Cutana and make your first cutouts Getting started
Do a specific task, such as streaming cutouts into a model or mixing bands into RGB How-to guides
Look up a catalogue column, config parameter or output format Reference
Understand band matching, WCS handling or performance behaviour Explanation
Look up a function or class API reference

Support