Simulation Strategy Session Afternoon 20 March

Image Library: Send candidate images by 27 March to Min.
                         Selection to occur by 3 April.
          Images should be large   1024 x 1024, with good dynamic range and spatial
                    frequency range.  They will need to support imaging at 5-6 pixels per resolution
          element over 200 resolution elements at least.
Create uv sample visibilities
          No errors to be added to data at this point; that evaluation to occur later.
                Exception: Use median tau (???number???) for weights.
          For speed, use FFT then interpolate.  
          Output to UVFITS
          The antenna will be assumed to employ a 12db taper.
          Use 5 degree mask.
Imaging and deconvolution at 345 Ghz frequency
          Pick 5 resolutions (Yun, ALMA Project Book Chapter 15)
               'A'  0.05"   
               'C'  0.22"
               'E'  0.98"
          Compact array: simulate snapshots only; long integrations less important (?)
          Intermediate configuration(s): Scale image to ~200 beams
            Snapshots and synthesis +/- 2 hrs of meridian for '1.5' km array.
            Snapshots and synthesis +/- 2 hrs of meridian for '3' km array, intially.
          Declination range: -23, -70 and +25 degrees
          Arrays should accommodate e.g. a 1.1 NS stretch.
          Multi-configurations may be simulated.
Final deconvolved image
                         Use Maximum Entropy and CLEAN, and whatever else your Pandora's box
               contains.
          Adrian will arrange with Steven Heddle (?) To have a 'black box' to run these
               Imaging simulations all these ways in a parallel fashion.
          After an initial run in AIPS simulations, with the limited errors discussed above, simulations will be run in AIPS++ with the more robust error
treatment which Mark has designed.  This should occur by August 2000.

Judgment Day:
          rms difference maps
          max, min in maps
          Max fractional difference
          FT difference image to find where artifacts arise
          Compute MODEL/Difference maps for 'image fidelity'.