Gridding Data

rascil.processing_components.griddata.convolution_functions Module

Functions that define and manipulate ConvolutionFunctions.

The griddata has axes [chan, pol, z, dy, dx, y, x] where z, y, x are spatial axes in either sky or Fourier plane. The order in the WCS is reversed so the grid_WCS describes UU, VV, DUU, DVV, WW, STOKES, FREQ axes.

GridData can be used to hold the Fourier transform of an Image or gridded visibilities. In addition, the convolution function can be stored in a GridData, most probably with finer spatial sampling.

Functions

`calculate_bounding_box_convolutionfunction`(cf)	Calculate bounding boxes
`apply_bounding_box_convolutionfunction`(cf[, ...])	Apply a bounding box to a convolution function
`export_convolutionfunction_to_fits`(cf[, ...])	Write a convolution function to fits

rascil.processing_components.griddata.kernels Module

Functions that define and manipulate kernels

Functions

`create_pswf_convolutionfunction`(im[, ...])	Fill an Anti-Aliasing filter into a ConvolutionFunction
`create_box_convolutionfunction`(im[, ...])	Fill a box car function into a ConvolutionFunction
`create_awterm_convolutionfunction`(im[, ...])	Fill AW projection kernel into a GridData.
`create_vpterm_convolutionfunction`(im[, ...])	Fill voltage pattern kernel projection kernel into a GridData.