sirius.display_tools

x_plot(vis='sim_data_ALMA.ms', ptype='amp-time', forceconvert=False, tel_name='ALMA')

Make a few types of plots Supported types : amp-time, amp-freq, uvcov, plotants forceconvert=True/False : Convert the input MS to a Zarr dataset and read it into an XArray for plotting.

If set to False, it will skip the conversion step (and all the output messages the conversion produces).

listobs_jupyter(vis='sim_data_ALMA.ms')

Print out the contents of listobs. TODO : Convert the contents to a df (if possible) for a pretty display

image_ants(vis='sim_data_ALMA.ms', imname='try_ALMA', field='0', antsel='', tel='ALMA', vptable='')

Run imager….. TODO set pblimit=-1 … or set the image stats method to look inside the PB region only.

get_baseline_types(msname='', tel='ALMA')

Define MSSelection strings for all 3 types of baselines, and all. Check them if an MS name is supplied.

check_vals(vis='', field='', spw='', pb_A='', pb_B='', antsels={}, meas_peaks={}, meas_rms={}, tel='ALMA')

For the given (selected) MS and PB images, pick out the PB values at the source location for antenna types A and B Calculate expected Intensity for the A-A, B-B, A-B and All baseline imaging cases. Using sigmas (or weights) and input vis-rms values, calculate expected rms for all 4 imaging cases Compare expected intensity, PB and RMS values with measured values.

ALMA : A = 12m. B = 7m ngVLA : A = 18m. B = 6m

display_J(J_xds, pa, chan, val_type='abs', units='rad')

val_type: [‘abs’,’phase’,’real’,’imag’]

display_M(M_xds, pa, chan, val_type='abs', units='rad')

val_type: [‘abs’,’phase’,’real’,’imag’]