Template:GettingCaltechData: Difference between revisions

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To start CASA, type:
At the workshop, we will be using data which has already been placed on a drive which is accessible with the cluster machines we'll be using. The data directory is /data/casa/, and either evla or alma, depending on the tutorial. Note that many CASA operations are very i/o intensive, so you will place your working data on a disk local to your login node. While this is the fastest setup, there is limited space on these local disks. Therefore, we suggest that you delete any data from a previous tutorial before starting a new one.
 
<source lang="bash">
casapy
</source>
 
This will run a script to initialize CASA, setting paths appropriately. It will also start writing to a file called <tt>ipython.log</tt>, which will contain a record of all the text you enter at the CASA prompt.
 
A logger window will also appear; note that you can rescale this window or change the font size as desired (the latter is under "View").  The messages which are printed to the logger are also saved to a file called <tt>casalog.py</tt>, and any previous version of <tt>casalog.py</tt> which may have been present is moved to a backup version with a date stamp. Note that this does not happen for any previous versions of <tt>ipython.log</tt>, so if you wish to save one, be sure to rename it before restarting CASA.

Revision as of 15:45, 6 January 2012

At the workshop, we will be using data which has already been placed on a drive which is accessible with the cluster machines we'll be using. The data directory is /data/casa/, and either evla or alma, depending on the tutorial. Note that many CASA operations are very i/o intensive, so you will place your working data on a disk local to your login node. While this is the fastest setup, there is limited space on these local disks. Therefore, we suggest that you delete any data from a previous tutorial before starting a new one.