Source subtraction and calibration

Source subtraction and calibration

Logged on 27/09/09 06:55:09

Ahh.. The beauty of simulation. Subtracting the two known sources in the uv plane and calibrating for sinusoidal time-varying gains yields thermal noise (=numerical precision in this case).

I see that the image of the simualted field (previous map) is inverted. ... and Ian has commented on this. It can be fixed by rendered the python imshow() method with keyword origin='lower'

Next I'll perform the same step but put in a screwed up primary beam expression (just for kicks).

Data products

SSSC18_WSRT.MS.CORRECTED_DATA.channel.64ch.fits (header)

64x1x512x512 FITS cube, 4 planes are given below.

0-full.png0-hist-full.png
0-hist-zoom.png

Image plane #0.

data range:-2.15354e-09,1.84692e-09
mean:4.3719e-12
sigma:4.55481e-10
clipping:95%
clip range:-9.11207e-10,8.74153e-10
1-full.png1-hist-full.png
1-hist-zoom.png

Image plane #1.

data range:-1.91063e-09,2.08137e-09
mean:5.23381e-12
sigma:4.52767e-10
clipping:95%
clip range:-8.50253e-10,9.39131e-10
2-full.png2-hist-full.png
2-hist-zoom.png

Image plane #2.

data range:-2.13248e-09,2.14237e-09
mean:6.90081e-12
sigma:4.54445e-10
clipping:95%
clip range:-8.29989e-10,9.6929e-10
3-full.png3-hist-full.png
3-hist-zoom.png

Image plane #3.

data range:-1.80833e-09,2.23687e-09
mean:-3.10819e-12
sigma:4.4619e-10
clipping:95%
clip range:-7.89134e-10,1.0241e-09

G_diag.fmep

G_offdiag.fmep

.tdl.conf