cngi.vis.uv_cont_fit

uv_cont_fit(mxds, vis, source='DATA', target='CONTFIT', fitorder=1, excludechans=[])[source]

Fit a polynomial regression to source data and return model values to target

Parameters

  • mxds (xarray.core.dataset.Dataset) – input multi-xarray Dataset with global data

  • vis (str) – visibility partition in the mxds to use

  • source (str) – data variable in the dataset on which to fit the regression. Default is ‘DATA’

  • target (str) – new data variable to place the fit result, overwrites if already present. Default is ‘CONTFIT’

  • fitorder (int) – polynomial order for the fit, must be >= 1, but values larger than 1 will slow down rapidly. Default is 1

  • excludechans (list of ints) – indices of channels to exclude from the fit. Default is empty (include all channels)

Returns

New output multi-xarray Dataset with global data

Return type

xarray.core.dataset.Dataset