AstroPy is a collection of Python programs for processing observational planetary astronomy image data. In particular, these programs were written to process the images of Venus taken by Eliot Young, Mark Bullock, and Tanya Tavener at the NASA Infrared Telescope Facility on Mauna Kea, Hawai'i, during July of 2007. These images will be used as part of a project to create cloud-motion maps of Venus' atmosphere. All software and websites were written by Sky Coyote.
The current collection of 16 programs can be downloaded as an Apple XCode project here. XCode is used only as a project-manager/editor, and is not required to use the programs.
AstroPy requires the following installed software:
You will also need to have a properly installed C compiler and libraries (e.g. gcc 4.0.1 on the Mac) in order to compile the C files that are part of these packages.
Data directory layout
Many of the AstroPy programs expect a standard directory layout for raw and processed data. For the July 2007 datasets, these directories look like the following:
VenusData : Top level of all data. 072307 : Directories for individual days. 072407 072507 etc... raw : Raw images, usually with file names in 'im%04d.a.fits' format. intermediates : Intermediate processing files such as 'mask.fits', 'intercept.fits', 'slope.fits', sharpness and coordinate text files, etc... processed : Processed images, also with file names in 'im%04d.a.fits' format. etc : Observing logs, original .tar file, screenshots, etc...
AstroPy expects symbolic links (created with 'ln -s' under Unix/OSX) to the daily directories in its own directory:
Individual program pages
These are listed in roughly the order you might use them. See the individual pages for details. Note that 'process.py' performs all the operations of rough alignment, flattening, filling, shift averaging, and medium alignment, and will perform additional operations as they become available. Most files exist primarily as importable modules, with some __main__ test code at the bottom.
FITSRegister: Semi-automatic alignment of multiple astronomical images.
FITSFlow: Automatic flow estimation between astronomical images.
FITSMap: Latitude/longitude projection mapping for astronomical images.
Venus project: Previous work on detection, visualization, and analysis of cloud motion.
İSky Coyote 2007