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
Quantity
orNone
The standard deviation/σ of this distribution. Shape must match and unit must be compatible with
center
, or beNone
(ifvar
orivar
are set).- var
Quantity
orNone
The variance of this distribution. Shape must match and unit must be compatible with
center
, or beNone
(ifstd
orivar
are set).- ivar
Quantity
orNone
The inverse variance of this distribution. Shape must match and unit must be compatible with
center
, or beNone
(ifstd
orvar
are set).- n_samples
int
The number of Monte Carlo samples to use with this distribution
- clsclass
The class to use to create this distribution. Typically a
Distribution
subclass.- Remaining keywords are passed into the constructor of the ``cls``
- center
- Returns:
- distr
Distribution
orobject
The sampled Gaussian distribution. The type will be the same as the parameter
cls
.
- distr