hyperfine.musr.multi_gaussian_avg_and_error

hyperfine.musr.multi_gaussian_avg_and_error(mean: Sequence[float], mean_error: Sequence[float], fraction: Sequence[float], fraction_error: Sequence[float]) → Tuple[float, float]

Mean (i.e., the 1st moment) of a multi-Gaussian distribution.

Parameters:

• mean – Array of mean values (G).

• mean_error – Array of mean errors (G).

• fraction – Array of fractions.

• fraction – Array of fraction errors.

Returns:

A tuple containing the distribution’s mean and uncertainty (G).