ZeemanLineModel

class pyarts3.arts.ZeemanLineModel

Zeeman model

Overview

Method	strengths()	The number of Zeeman lines
Attribute	gl	The lower level statistical weight
Attribute	gu	The upper level statistical weight
Attribute	on	If True, the Zeeman effect is included
Operator	__eq__()	Return self==value.
Operator	__format__()	Default object formatter.
Operator	__ge__()	Return self>=value.
Operator	__getstate__()	Helper for pickle.
Operator	__gt__()	Return self>value.
Operator	__hash__()	Return hash(self).
Operator	__init__()	Initialize self. See help(type(self)) for accurate signature.
Operator	__le__()	Return self<=value.
Operator	__lt__()	Return self<value.
Operator	__ne__()	Return self!=value.
Operator	__repr__()	Return repr(self).
Operator	__str__()	Return str(self).

Constructors

__init__(*args, **kwargs)

Methods

strengths(self, arg: collections.abc.Mapping[pyarts3.arts.QuantumNumberType, pyarts3.arts.QuantumUpperLower], /) → dict[str, pyarts3.arts.ArrayOfNumeric]

The number of Zeeman lines

Attributes

gl: Numeric

The lower level statistical weight

gu: Numeric

The upper level statistical weight

on: bool

If True, the Zeeman effect is included

Operators

__eq__(value, /)

Return self==value.

__format__(format_spec, /)

Default object formatter.

Return str(self) if format_spec is empty. Raise TypeError otherwise.

__ge__(value, /)

Return self>=value.

__getstate__()

Helper for pickle.

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__init__(*args, **kwargs)

__le__(value, /)

Return self<=value.

__lt__(value, /)

Return self<value.

__ne__(value, /)

Return self!=value.

__repr__()

Return repr(self).

__str__()

Return str(self).