[daip] [!14358]: AIPS - Parameters in the AIPS task LPCAL

[Cheng-Yu Kuo]

Cheng-Yu Kuo updated #14358
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Parameters in the AIPS task LPCAL
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           Ticket ID: 14358
                 URL: https://help.nrao.edu/staff/index.php?/Tickets/Ticket/View/14358
                Name: Cheng-Yu Kuo
       Email address: ck2v at virginia.edu
             Creator: User
          Department: AIPS Data Reduction
       Staff (Owner): Eric Greisen
                Type: Issue
              Status: Open
            Priority: Default
                 SLA: NRAO E2E
      Template group: Default
             Created: 16 July 2019 02:19 PM
             Updated: 17 July 2019 04:10 PM
      Resolution due: 11 April 2022 12:00 AM (998d 7h 50m)

Dear Eric :        Thank you sooo much for helping us !!!  The updated version works well !        Although this LPCAL ticket can be closed, I would like to ask another question related to LPCAL. My collaborator and I are developing a polarization calibration code in python with the D-term fitting algorithm similar to LPCAL, but it can  fit multiple source simultaneously. We are currently exploring the possibility to transform this code to Fortran and integrate it to AIPS.        My question is that is writing a AIPS task in fortran a formidable work to do (given that we don't have any experience of writing any AIPS task) ?    If we can write our code in Fortran, would it be relatively easy to integrate it into AIPS ?  Is there any instruction online for writing our own AIPS task ?   Thanks again !ps :  I visit NRAO HQ regularly. So, if someone at the HQ can help, we would be happy to visit Charlottesville to work with experts there to make our code working.regardschengyu

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