A method of S2FunHarmonic.
the harmonic series of a function on the sphere by quadrature, from a callable or from values at nodes; MATLAB’s approximate is the same
Syntax
sF = S2FunHarmonic.quadrature(lambda v: v.z**2)
A callable on a grid of the default bandwidth.
sF = S2FunHarmonic.quadrature(lambda v: v.z**2, cs, bandwidth=16)
In the crystal frame cs.
sF = S2FunHarmonic.quadrature(v, values, bandwidth=8, weights=w)
Values at the nodes v.
sF = S2FunHarmonic.quadrature(g, values)
Values on a quadratureS2Grid g.
Description
The coefficients are the integrals of f against the spherical harmonics, approximated by the quadrature sum over the nodes. A callable is sampled on a quadrature grid exact up to the bandwidth, and a quadratureS2Grid brings its own weights and bandwidth.
Values at scattered nodes take the weights given, which sum to 4 pi, equal ones by default. They give a good approximation only on nodes dense enough for the bandwidth; S2FunHarmonic.interpolate fits scattered values by least squares instead. Values for a list of functions have the nodes first.
Input
nodes |
a callable of vector3d, vector3d, or a quadratureS2Grid |
values |
the values at the nodes, the nodes along the first axis; for a callable the frame instead |
frame |
the crystalFrame or specimenFrame of the result; by default that of the nodes |
Keywords
| keyword | default | description |
|---|---|---|
bandwidth |
None |
the largest degree; by default the grid’s for a quadrature grid, else the preference defaultS2Bandwidth |
weights |
None |
the quadrature weights of the nodes, summing to 4 pi |
real |
None |
whether the function is real; by default read off the values |
antipodal |
None |
f(v) = f(-v); by default that of the nodes |
Output
sF |
S2FunHarmonic |
See also
S2FunHarmonic, S2FunHarmonic.interpolate, quadratureS2Grid, S2FunHarmonicRepresentation
MATLAB’s S2FunHarmonic.approximate
source
Citing this page.
This page is part of the documentation of
MTEX, a free and open
source MATLAB toolbox for analyzing and modeling crystallographic textures.
It was written by The MTEX Developers and is published at
https://mtex-toolbox.github.io/S2FunHarmonic.approximate_py.html.
If you use MTEX, or reuse text or figures from this page, in your research,
please cite
F. Bachmann, R. Hielscher, H. Schaeben: Texture Analysis with MTEX - Free and Open Source Software Toolbox, Solid State Phenomena 160 (2010), 63-68. 10.4028/www.scientific.net/SSP.160.63
BibTeX
@article{bachmann2010mtex,
author = {F. Bachmann and R. Hielscher and H. Schaeben},
title = {Texture Analysis with MTEX - Free and Open Source Software Toolbox},
journal = {Solid State Phenomena},
volume = {160},
pages = {63-68},
year = {2010},
doi = {10.4028/www.scientific.net/SSP.160.63},
url = {https://doi.org/10.4028/www.scientific.net/SSP.160.63}
}
Other papers describing specific MTEX methods are listed under Publications — please cite the one that best fits your application. The MTEX source code is licensed under the GNU General Public License v2.0; the text and figures of this documentation are licensed under CC BY 4.0, which permits reuse — including by automated systems — provided The MTEX Developers and this page are credited.