Need help: Spherical harmonic integration

3 vues (au cours des 30 derniers jours)
Yousuf Khan
Yousuf Khan le 15 Déc 2021
Modifié(e) : Yousuf Khan le 3 Jan 2022
Let's say I have a combination of spherical harmonics e.g.
Ytotal=aY_4^2+bY_6^2+cY_8^2 ([1]
So, because spherical harmonics are an orthogonal basis, I can say:
eq2) b=∫Y_6^2 * Y_total ( [2]
Now, I have a function that gives me a spherical harmonic (The famous spharm4)
function varargout=plm2spec(lmcosi,norma,in,ot)
% [sdl,l,bta,lfit,logy,logpm]=PLM2SPEC(lmcosi,norma,in,ot)
%
% Calculates the power spectrum of real spherical harmonic
% sine and cosine coefficients contained in the matrix 'lmcosi' which is
% of the standard form that can be plotted by PLM2XYZ and PLOTPLM.
%
% INPUT:
%
% lmcosi Spherical harmonic coefficients [l m Ccos Csin]
% norma 1 multiplication by (l+1)
% This gives the mean-square value of the
% gradient of a potential in Schmidt-harmonics
% 2 division by (2*l+1) [default]
% This gives the proper power spectral density
% as we've come to know it
% 3 none, i.e. a scaling factor of 1
% in Index to minimum degree to consider for the spectral fit [defaulted]
% ot Index to maximum degree to consider for the spectral fit [defaulted]
%
% OUTPUT:
%
% sdl Spectral density: energy per degree
% l Degree
% bta Spectral slope of loglog(l,sdl)
% lfit,logy Spectral line plot given by loglog(lfit,logy)
% logpm Error on spectral line plot given by
% loglog(lfit,logpm)
%
% SEE ALSO: MTVAR
%
% EXAMPLE:
%
% [sdl,l,bta,lfit,logy,logpm]=plm2spec(fralmanac('EGM96'));
%
% SEE ALSO: ACTSPEC
%
% The normalization by (2l+1) is what's required when the spherical
% harmonics are normalized to 4pi. See DT p. 858. A "delta"-function then
% retains a flat spectrum. See Dahlen and Simons 2008.
% See papers by Hipkin 2001, Kaula 1967, Lowes 1966, 1974, Nagata 1965
% (Lowes, JGR 71(8), 2179 [1966])
% (Nagata, JGeomagGeoel 17, 153-155 [1965])
%
% Last modified by fjsimons-at-alum.mit.edu, 03/18/2020
defval('norma',2)
lmin=lmcosi(1);
lmax=lmcosi(end,1);
pin=0;
for l=lmin:lmax
clm=shcos(lmcosi,l);
slm=shsin(lmcosi,l);
pin=pin+1;
sdl(pin)=clm(:)'*clm(:)+slm(:)'*slm(:);
end
switch norma
case 1
normfac=(lmin:lmax)+1;
case 2
normfac=1./(2*(lmin:lmax)+1);
case 3
normfac=1;
disp('Not further normalized')
otherwise
error('No valid normalization specified')
end
% disp(sprintf('Normalization %i',norma))
sdl=normfac.*sdl;
sdl=sdl(:);
% Figure out the range over which to make the fit
l=lmin:lmax;
l=l(:);
if lmin==0
defval('in',3);
elseif lmin==1
defval('in',2);
else
defval('in',1);
end
defval('ot',lmax)
lfit=l(in:ot);
if nargout>=3
% Calculate spectral slope
[bt,E]=polyfit(log10(lfit),log10(sdl(in:ot)),1);
bta=bt(1);
[logy,loge]=polyval(bt,log10(lfit),E);
logy=10.^logy;
logpm=[logy./(10.^loge) logy.*(10.^loge)];
else
[bta,lfit,logy,logpm]=deal(NaN);
end
which gives a spherical harmonic matrix
First, I want to check if the Y_6^2 is normalized (the integral should be equal to zero) using trapz. How can a 3D integral be done with trapz function using spherical coordinates?
After that, I want to find the b coefficient using eq(2), but I still can’t understand how to use the trapz function correctly and multiply the matrixs.
TL;DR how to use trapz to calculate a triple integral on a spherical harmonic?
Any help would be appreciated.

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