azulero 0.2.0

Bring colors to Euclid tiles!

Bring colors to Euclid tiles!

Azul(ero)* downloads and merges VIS and NIR observations over a MER tile. It detects and inpaints bad pixels (hot and cold pixels, saturated stars...), and combines the 4 channels (I, Y, J, H) into an sRGB image.

*I started this project when Euclid EROs came out...

License

Apache-2.0

Disclaimer

⚠️ This is a beta version! ⚠️

• The tool is far from perfect and can be frustrating.
• Error cases are not handled and messages may be cryptic or misleading.
• There is no documentation...
• Please make sure to read the "How to help?" section below before using this version.

Installation and setup

Install the azulero package with:

pip install azulero

Setup the ~/.netrc file for eas-dps-rest-ops.esac.esa.int and euclidsoc.esac.esa.int with your Euclid credentials:

machine eas-dps-rest-ops.esac.esa.int
  login <login>
  password <password>
machine euclidsoc.esac.esa.int
  login <login>
  password <password>

Basic usage

The typical workflow is as follows:

• Download the MER-processed FITS file of your tiles with azul retrieve.
• Optionally select the region to be processed with azul crop.
• Blend the channels and inpaint artifacts with azul process.

Usage:

azul [--workspace <workspace>] retrieve [--dsr <dataset_release>] <tile_indices>
azul [--workspace <workspace>] crop <tile_index>
azul [--workspace <workspace>] process <tile_slicing>

with:

• <workspace> - The parent directory to save everything, in which one folder per tile will be created (defaults to the current directory).
• <dataset_release> - The dataset release of the tiles to be downloaded (defaults to DR1_R1).
• <tile_indices> - The space-separated list of tiles to be downloaded.
• <tile_index> - A single tile index.
• <tile_slicing> - A single tile index, optionally followed by a slicing à-la NumPy.

Example:

azul retrieve 102034383 --dsr DR1_R2
azul show 102034383
azul process 102034383[1000:9000,7500:13500]

Advanced usage

One day I'll find some time to write something useful here... 🤔

How to help?

• Report bugs, request features, tell me what you think of the tool and results...
• Mention myself (Dr Antoine Basset, CNES) and/or azulero when you publish images processed with this tool.
• Share with me your images, I'm curious!

Acknowledgements

• Azul's color blending is freely inspired by that of Mischa Schirmer's eummy.py.
• Thank you Téo Bouvard for helping me drafting retrieve!
• Thank you Kane Nguyen-Kim (IAP) and Rollin Gimenez (CNES), early beta-testers...
• 🔥 Congratulations to the whole Euclid community; The mosaics are simply unbelievable!
• 😍 Thank you also for answering my dummy questions on the contents of the images I posted.