Drizzlib

From this page you can download the drizzling software library, drizzlib, which reprojects data from HEALPix to local WCS FITS format. The library is available in IDL and Python languages.

The drizzling library uses a strategy where the surface of pixel intersection is computed as presented in Appendix A of Paradis et al., 2012, A&A, 543, 103. This method allows fast ingestion and guarantees the photometric accuracy of the transformation with minimal data loss during the transformation from HEALPix to local WCS FITS.

NEW CADE now offers a web interface to the drizzling software library called drizzweb. This allows the user to reproject data from HEALPix to local WCS FITS format using CADE's computing resources. The drizzweb page is here http://drizzweb.irap.omp.eu/


IDL version

Authors

  • Jean-Philippe Bernard (IRAP)
  • Nathalie Baby (IRAP)
  • Caroline Bot (CDS)
  • Laurent Cambrésy (CDS)
  • Déborah Paradis (IRAP)
  • Alexandre Sauvé (IRAP)

Download

Python version

Authors

  • Antoine Goutenoir (IRAP)
  • Déborah Paradis (IRAP)
  • Jean-Michel Glorian (IRAP)
  • Gabriel Foënard (IRAP)
  • Nathanael Jourdane (IRAP)
  • Anaïs Amato (IRAP)

Where to download the drizzlib python code

CADE supports several options for getting access to drizzlib-python: git, pip and direct download of the source tarball.

The source tree is available on gitlab .

The python package itself can be downloaded and installed via pip :

pip install drizzlib

Or you can directly grab a tarball here :

:!: There are detailed instructions and troubleshooting tips in the README, which you should read.

Installation Details

First, install the system dependencies :

Debian / Ubuntu
apt-get install python-dev pkg-config libfreetype* gfortran libopenblas-dev liblapack-dev

Using pip

pip install drizzlib
:?: It may complain about numpy. Install it, and try again.

From source

Uncompress the tarball, move into the newly created directory (e.g. drizzlib-2.0)

Then, install the python dependencies using pip :

pip install --upgrade setuptools
pip install -r requirements.txt

Finally, install drizzlib itself :

python setup.py install

Using the drizzlib python code : simple example

Here's a simple usage example that reads my_healpix.fits, extracts a subset of its data as described by the header in wcs_config.fits, and writes the result into my_wcs.fits :

from drizzlib import healpix2wcs
 
healpix2wcs(
    'my_healpix.fits',
    header='wcs_config.fits',
    output='my_wcs.fits'
)

Older versions of the drizzlib library (python 2.7 only)