[daip] [!8277]: AIPS - Self-cal using SCMAP

[Alexandra Truebenbach]

Alexandra Truebenbach updated #8277
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Self-cal using SCMAP
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           Ticket ID: 8277
                 URL: https://help.nrao.edu/staff/index.php?/Tickets/Ticket/View/8277
           Full Name: Alexandra Truebenbach
               Email: alexandra.truebenbach at colorado.edu
             Creator: User
          Department: AIPS Data Reduction
       Staff (Owner): Eric Greisen
                Type: Issue
              Status: Open
            Priority: Default
                 SLA: NRAO E2E
      Template Group: Default
             Created: 13 April 2016 07:46 PM
             Updated: 24 May 2016 11:58 PM
      Resolution Due: 21 April 2016 07:46 PM 



Hi Eric,

I wanted to follow up on this email because despite trying various simplified versions of my data reduction, I'm still not able to get SCMAP to work with my data.  I can successfully self-cal the data using IMAGR and CALIB but like I've mentioned previously, I can't get the same results using SCMAP with the same input parameters as I used for IMAGR/CALIB.  I've attached a calibrated and split fits file of on of my sources that I've tried to run SCMAP on.  I also attached the reduction log used to create the fits file if that's helpful (the .txt file).  To remove all extra factors that might be throwing off SCMAP, I did a much more basic data reduction than I'd typically do on a source.  The reduction was nearly identical to one of Amy's VLBA tutorials: http://www.aoc.nrao.edu/~amiodusz/sumschool14/vlbaspectut_gen.shtml  I did through step 12, skipping the smoothing to remove another factor, and then split off the data.  For the splitting I used aparm 2 0 0 1 1 1 to make the self-cal go a little faster.  

I'd really appreciate any additional insight you might have on this issue.  Like I mentioned previously, I really need some way to automate self-cal because it would be too time consuming to do by hand for all of my data.

Thanks!
Alex Truebenbach

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