[daip] Very large dataset

[Flor Allaert]

Hi,

My name is Flor Allaert and I have a practical question concerning the  
reduction of some EVLA data in AIPS. The data were taken last summer,  
at eight different days. Fifteen sub bands were used, each 1 MHz wide  
and overlapping half of the previous one (so over a range of 0.5 MHz).  
As far as I know, one should in principle flag and calibrate the data  
from each sub band and each day separately. However, this would mean  
flagging and calibrating 120 different data sets and I do not have  
time for that.
What strategy would you advise to reduce these data within a  
reasonable time frame?

Best regards,
Flor Allaert