exosim.tasks.detector.loadPixelsNonLinearityMapNumpy#
Classes#
Loads the pixels non-linearity map given a numpy map. |
Module Contents#
- class LoadPixelsNonLinearityMapNumpy[source]#
Bases:
exosim.tasks.detector.LoadPixelsNonLinearityMapLoads the pixels non-linearity map given a numpy map. The input must be a NPY format file (see numpy documentation) containing the coefficients for each pixel. The map should have dimensions (n, y, x) where n is the number of coefficients for the polynomial approximation and y and x are the number of pixels in spatial and spectral directions. The map should be indicated under
pnl_filenamekeyword.- Returns:
channel non linearity map
- Return type:
- Raises:
KeyError: – if the output do not have the map key
- model(parameters)[source]#
- Parameters:
parameters (dict) – dictionary contained the channel parameters. This is usually parsed from
LoadOptions- Returns:
channel pixel non-linearity map
- Return type: