I got a fully working (sdint, tp2vis) run using casa 6.5.2 - but in the end IQA is failing with:
ValueError: Passing a Normalize instance simultaneously with vmin/vmax is not supported. Please pass vmin/vmax directly to the norm when creating it.
during the IQA
which is a matplotlib error, triggered in show_Fidelity_map()
im = ax1.imshow(image[0].data[channel],vmin=1.,vmax=100,cmap='hot',norm=LogNorm())
the last messages on screen were:
Accuracy = -0.46 +/- 0.25
See results: /home/teuben/ALMA/DataComb/work//M100/assessment_M100-B3.cube_INTpar_MS_SD-INT-AM_nIA_n1000000_thresh0.011/SD_Accuracy_map_M100-B3.cube_INTpar_MS_SD-INT-AM_nIA_n1000000.tclean_channel.png
I got a fully working (sdint, tp2vis) run using casa 6.5.2 - but in the end IQA is failing with:
ValueError: Passing a Normalize instance simultaneously with vmin/vmax is not supported. Please pass vmin/vmax directly to the norm when creating it.
during the IQA
which is a matplotlib error, triggered in show_Fidelity_map()
im = ax1.imshow(image[0].data[channel],vmin=1.,vmax=100,cmap='hot',norm=LogNorm())
the last messages on screen were:
Accuracy = -0.46 +/- 0.25
See results: /home/teuben/ALMA/DataComb/work//M100/assessment_M100-B3.cube_INTpar_MS_SD-INT-AM_nIA_n1000000_thresh0.011/SD_Accuracy_map_M100-B3.cube_INTpar_MS_SD-INT-AM_nIA_n1000000.tclean_channel.png