normal

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

Create a Gaussian/normal distribution.

Parameters:

center : Quantity

The center of this distribution

std : Quantity or None

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 : Quantity or None

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 : Quantity or None

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``

Returns:

distr : cls, usually Distribution

The sampled Gaussian distribution.