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Error Propagation

Error (or uncertainty) propagation is the practice of analyzing and accounting for the effect of numeric quantities' uncertainties on the results of functions that involve them.

When variables used in a function or mathematical operation have errors (due to measurement uncertainties, random fluctuations, sample variance, etc.), error propagation can be used to determine the resulting error of the function's output.

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A project in which we study the feasibility of correlation calibration (Sievers 2016) in the Murchison Widefield Array in attempt to bridge the gap between Redudant Calibration and Sky Model Based Calibration

  • Updated Aug 4, 2020
  • Python
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