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ARIEL AIRS convenience tools for analysis and data manipulation

Project description

AIRSplorer

Convenience tools for analysis and data manipulation related to ARIEL AIRS. The package provides utilities for working with images and cubes, basic flux calculations, coordinate conversions, mask handling, I/O helpers, and common plotting routines.

Key features

  • Image and cube manipulation (load, save, simple transforms)
  • Basic photometry and flux/statistics utilities
  • Sky/pixel coordinate conversions
  • Mask creation, application, and operations
  • Plotting helpers and tabulated outputs
  • Test suite for core functionality

Indicative modules:

  • coord: coordinate conversions and utilities
  • flux: simple photometry and flux-related computations
  • imager / imlib: image operations
  • mask: mask creation and manipulation
  • read / write: I/O helpers
  • plot: common plotting helpers
  • utils: assorted utility functions

Installation

From PyPI (when available):

bash
python -m pip install airsplorer

From source (development):

bash
git clone https://github.com/ccossou/airsplorer.git
cd airsplorer
python -m pip install -e .

Main runtime dependencies are installed automatically.

Quick start

python
# Example imports (see function docstrings for exact APIs)
from airsplorer import coord, flux, imager, mask, utils, read, write, plot

# Loading and saving (adjust paths and formats to your data)
# data = read.load_image("path/to/file.fits")
# write.save_image(data, "path/to/output.fits")

# Image operations
# img2 = imager.normalize(data)
# m = mask.create_threshold_mask(img2, threshold=5.0)
# img3 = imager.apply_mask(img2, m)

# Flux calculations
# f = flux.aperture_photometry(img3, center=(x0, y0), radius=5)

# Coordinate conversions
# px, py = coord.sky_to_pixel(ra, dec, wcs_header)
# ra2, dec2 = coord.pixel_to_sky(px, py, wcs_header)

# Plotting
# plot.imshow(img3, title="Processed image")

Notes:

  • Check each function’s docstring for signatures, units, and options.
  • Adjust examples to your data formats and WCS headers.

Documentation

Install optional documentation dependencies:

bash
python -m pip install "airsplorer[docs]"

Build locally with Sphinx (if you keep docs in a docs/ folder):

bash
sphinx-build -b html docs docs/_build/html

Testing

Run the test suite:

bash
pytest

With coverage:

bash
pytest --cov=. --cov-report=term-missing

Contributing

Contributions are welcome:

  1. Fork the repository and create a feature branch.
  2. Install in development mode: python -m pip install -e .
  3. Add tests that cover your changes.
  4. Run tests locally: pytest
  5. Open a pull request with a clear description.

Please follow idiomatic Python style and add documentation (docstrings, examples) where helpful.

License and citation

  • License: MIT
  • If you use airsplorer in scientific work, please cite the repository and the software version you used. A DOI or BibTeX entry may be added in the future.

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