Spin¶

class sisl.physics.Spin(kind='', dtype=<type 'numpy.float64'>)[source]¶

Spin class to determine configurations and spin components.

The basic class Spin implements a generic method to determine a spin configuration.

Its usage can be summarized in these few examples:

>>> Spin(Spin.UNPOLARIZED) == Spin('unpolarized') == Spin()
True
>>> Spin(Spin.POLARIZED) == Spin('polarized') == Spin('p')
True
>>> Spin(Spin.NONCOLINEAR, dtype=np.complex128) == Spin('non-colinear') == Spin('nc')
True
>>> Spin(Spin.SPINORBIT, dtype=np.complex128) == Spin('spin-orbit') == Spin('so')
True

Note that a data-type may be associated with a spin-object. This is not to say that the data-type is used in the configuration, but merely that it helps any sub-classed or classes who use the spin-object to determine the usage of the different spin-components.

Attributes

`NONCOLINEAR`
`POLARIZED`
`SPINORBIT`
`UNPOLARIZED`
`dkind`	Data-type kind
`dtype`	Data-type of the spin configuration
`is_colinear`	True if the configuration is polarized
`is_noncolinear`	True if the configuration non-colinear
`is_polarized`	True if the configuration is polarized
`is_spinorbit`	True if the configuration is spin-orbit
`is_unpolarized`	True if the configuration is not polarized
`kind`	A unique ID for the kind of spin configuration
`spins`	Number of spin-components

Methods

`__init__`([kind, dtype])
`copy`()

NONCOLINEAR = 2¶

POLARIZED = 1¶

SPINORBIT = 3¶

UNPOLARIZED = 0¶

copy()[source]¶

dkind¶: Data-type kind

dtype¶: Data-type of the spin configuration

is_colinear¶: True if the configuration is polarized

is_noncolinear¶: True if the configuration non-colinear

is_polarized¶: True if the configuration is polarized

is_spinorbit¶: True if the configuration is spin-orbit

is_unpolarized¶: True if the configuration is not polarized

kind¶: A unique ID for the kind of spin configuration

spins¶: Number of spin-components