Using the VM¶
Start DS9 (or ximtool) & PyRAF in your VM session:
ds9 & cd iraf pyraf gemini
You may then continue processing data as usual. All the IRAF packages from Astroconda are available, along with
Don’t work in
vm_transfer; use it for transferring input/output files.
When working in the directory shared with the host machine (eg.
vm_transfer), a problem has been observed where certain IRAF tasks (including
gdisplay) appear to run normally but only process one image extension per file, or one of several files, producing incomplete output. You should therefore work in another directory under
/home/irafuser(so that temporary files get written there), but you can still keep input & output files in
vm_transferand point the
rawpathparameter of the appropriate IRAF tasks there, in order to find them.
You can also use DRAGONS (and other conda packages), but it is recommended that you instead do that directly on the host machine where possible, as you are more likely to run into resource limitations on the VM. Only the IRAF packages in Astroconda require a 32-bit VM on MacOS >=10.15.
You should be able to administer the conda packages installed in
/home/irafuser/anaconda2as usual. The operating system (CentOS 7) installation is not intended to be user-maintainable.