Syntax
spectra = sw_magdomain(spectra,Name,Value)
Description
spectra = sw_magdomain(spectra,Name,Value)
calculates spin-spin
correlation function averaged over magnetic domains that are related by a
point group operation. Several domains with different volume ratios can
be defined. The spin-spin correlation function will be rotated and summed
according to the domains. The rotations of the magnetic domains are
defined in the coordinate system, same as the coordinate system for
the spin-spin correlation function. The function only rotates the
components of the spin, but not the momentum
, thus it cannot be used to simulate magnetic domains with different
propagation vector.
Examples
The above example calculates the spectrum for magnetic domains that are related by a 90 ° rotation around the -axis (perpendicular to the plane). All domains have equal volume.
spec = cryst.spinwave({[0 0 0] [1 0 0]})
spec = sw_magdomain(spec,'axis',[0 0 1],'angled',[0 90 180 270]);
Input Arguments
spectra
- Calculated spin wave spectrum.
Name-Value Pair Arguments
'axis'
- Defines axis of rotation to generate domains in the coordinate system, row vector with 3 elements.
'angle'
- Defines the angle of rotation to generate domains in radian units, multiple domains can be defined if angle is a row vector with number of elements.
'angled'
- Same as the
angle
parameter, just in ° units. 'rotC'
- Rotation matrices, that define crystallographic domains, alternative
input instead of
angle
andaxis
, matrix with dimensions of . 'vol'
- Volume fractions of the domains in a row vector with number of
elements. Default value is
ones(1,nDom)
.
Output Arguments
spectra
- Spectrum (Struct) with the following additional fields:
Sab
The multi domain spectrum will be stored here.Sabraw
The original single domain spectrum is kept here, so that a consecutive run ofsw_magdomain
will use the original single domain spectrum, without the need of recalculating the full spectrum.domVol
Volume of each domains in a row vector with number of elements.domRotC
Rotation matrices for each domain, with dimensions of .