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Saoimage ds9 mac os x
Saoimage ds9 mac os x









  1. #SAOIMAGE DS9 MAC OS X HOW TO#
  2. #SAOIMAGE DS9 MAC OS X MAC OS#

Therefore, it will bring some troubles when people need to uninstall SAOImage DS9. However, many people are not clear about these files, and some of these files cannot be found and removed smoothly especially for the basic Mac users. dmg file, and in the displayed window, drag the SAOImageDS9.app icon to the Applications folder. When install SAOImage DS9 on the Mac, it will also bring many of its supported files to the Mac, including application support files, preferences, caches etc.

#SAOIMAGE DS9 MAC OS X MAC OS#

Once the installer has been downloaded, launch it and follow the instructions.įor example, on Mac OS X, double click the downloaded. look for a ds9 executable in the PATH and if it exists, execute it. Browse to the SAOImage DS9 download page and select the appropriate operating system version. put a link to /Users/rem/Applications/SAOImage\ DS9.app/Contents/MacOS/ds9 in HOME/bin or some other convenient bin directory just start up DS9 before you start Python and pyds9. Once the above commands have completed successfully, you can launch the interactive DS9 program by entering ds9 on the command line.Ī graphical installer is available for most platforms (Linux, Mac, Windows). Respond affirmative unless you see a good reason not to. Also, for each command, you will be prompted with the question "Do you want to continue? ". Enter your password ( not the root password!) when asked. The "sudo" command takes care of this assuming that the corresponding privileges are enabled for your account. These commands require root access to modify files in the system directories. On Linux distributions such as Ubuntu, DS9 can be installed via the command line as follows: $ sudo apt-get update

#SAOIMAGE DS9 MAC OS X HOW TO#

The following sections describe how to install one such viewer, called SAOImage DS9, or DS9 for short. While this is all very helpfull, it is often convenient to also have a dedicated FITS viewer available for interactive inspection of FITS files produced by SKIRT. Once in memory, these data can be further processed at will.īased on these packages, the Python toolkit for SKIRT or PTS offers functions to read SKIRT output files with some extra intelligence (e.g., interpreting units), and it offers high-level commands to rapidly visualize some specific SKIRT output. If you resize the main window and things come out looking a. The almost standard Python package numpy supports reading text column files into numpy arrays, and the well-known astronomy Python package astropy supports reading FITS data into numpy arrays. It looks a lot like SAOimage or DS9, so if youre used to using those. The Python language ecosystem has extensive support for both data formats.

saoimage ds9 mac os x

  • Image frames or 3D data cubes in the FITS file format, which is frequently used in astronomy because each pixel can be represented by a floating point value, allowing for a large dynamic range.
  • Tabular data as ASCII text column files, which can easily be processed by many software tools.
  • With few exceptions, SKIRT produces data (mock observables and diagnostic information) in two formats:











    Saoimage ds9 mac os x