Data Analysis, Simulations and Visualization on the Sphere
Software for pixelization, hierarchical indexation, synthesis, analysis, and visualization of data on the sphere. Please acknowledge HEALPix by quoting the web page http://healpix.sourceforge.net and publication: K.M. Gorski et al., 2005, Ap.J., 622, p.759 Full software documentation available at http://healpix.sf.net/documentation.php Wiki Pages: https://sourceforge.net/p/healpix/wiki/Home GDL users should read https://sourceforge.net/p/healpix/wiki/HEALPix%20and%20GDL/
GBTIDL provides offline data reduction for spectral line data from the GBT, a single dish radio telescope. Although the GBTIDL code is open source, running it requires you to have your own IDL license and base package.
Routines for wavefront propagation in IDL, Matlab, and Python
PROPER is a library of routines for the propagation of wavefronts through an optical system using Fourier-based methods. It was developed at the Jet Propulsion Laboratory for modeling stellar coronagraphs, but it can be applied to other optical systems were diffraction propagation is of concern. It is currently available for IDL (Interactive Data Language), Matlab and Python (2.7 & 3.x). It includes routines for generating complex apertures and obscurations and aberrations (Zernike & PSD-defined). It includes a model of a deformable mirror for wavefront control. The routines perform near and far field propagation with automatic selection of propagators. All Python users are urged to download v3.0b, which has some major bug fixes. The latest Python version is v3.0b released on 6 Mar 2018. IDL and Matlab versions are v3.0a from 22 Jan 2018.
General data-reduction tool for fiber-fed integral-field spectrographs
p3d is a general data-reduction tool for use with fiber-fed integral-field spectrographs (IFSs); although, the spectrum viewer works with spectrum data cubes of any origin. The tool is built about the proprietary software IDL (Harris/EXELIS; see http://www.harrisgeospatial.com), but can be used without any license. Most slowly running loops are implemented in parallelized C (OpenMP).