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Code for low-level WINTER data corrections, such as bad pixel masking and nonlinearity corrections

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WINTER corrections

A package for implementing nonlinearity corrections for WINTER.

  • Current implementation is with a rational function with 8 parameters.
  • Also has the ability to generate/fit polynomial and other rational functions.

TODO: add more to the bad pixel masking.

  • Currently it only masks pixels which fail the rational fit or are tied high.
  • To add: dead pixel and highly nonlinear pixels to the mask.

Installation

pip install .

Get Started

winter_corrections/example.py

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Code for low-level WINTER data corrections, such as bad pixel masking and nonlinearity corrections

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