hyperfine.musr.multi_gaussian_std_and_error

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

Standard deviation (i.e., square root of the 2nd 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.

• sigma – Array of damping rates (μs^-1).

• sigma_error – Array of damping rate errors (μs^-1).

Returns:

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