# normal¶

astropy.uncertainty.normal(center, *, std=None, var=None, ivar=None, n_samples, cls=<class 'astropy.uncertainty.core.Distribution'>, **kwargs)[source]

Create a Gaussian/normal distribution.

Parameters: center : Quantity The center of this distribution std : The standard deviation/σ of this distribution. Shape must match and unit must be compatible with center, or be None (if var or ivar are set). var : The variance of this distribution. Shape must match and unit must be compatible with center, or be None (if std or ivar are set). ivar : The inverse variance of this distribution. Shape must match and unit must be compatible with center, or be None (if std or var are set). n_samples : int The number of Monte Carlo samples to use with this distribution cls : class The class to use to create this distribution. Typically a Distribution subclass. Remaining keywords are passed into the constructor of the cls distr : cls, usually Distribution The sampled Gaussian distribution.