Interpolate
The interpolate step replaces flagged values by interpolating them using “neighbouring” samples (samples close in time and frequency). It calculates the Gaussian weighted sum over non-flagged samples, with a sigma parameter of one timestep/one channel. The flags are removed after interpolation. This is in particular useful in combination with averaging; by replacing flagged values before averaging, the output visibilities will more accurately represent the true sky. This step was aimed to solve frequency structure from flagging/averaging for the EoR experiment, but might be useful in other cases as a more accurate averaging step. Details are published in Offringa, Mertens and Koopmans (2018).
inputs
type
- type:
string
- doc:
Case-insensitive step type; must be ‘interpolate’ .
windowsize
- type:
int
- default:
15
- doc:
Size of the window over which a value is interpolated. Should be odd .