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write2GMT.m
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write2GMT.m
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function write2GMT(wht,name,index,index2)
rplanet = 2440;
% larger5 and larger2 yielded the same best J for Lmax120-sub15.
% So can just use the model for Lmax120-sub15-larger5
switch wht
case('data')
skip=10;
Mercury = load(['hpfdat_0.0050_alt130_Act95_EOM4077_80_HiAlt080_' ...
'LatMax70_Lmax25_J0.1pcnt.mat']);
M = Mercury.data2; %(cutind,:); % Cutting data
lon = M(1:skip:end,6); % Longitude
lat = M(1:skip:end,7); % Latitude
alt = M(1:skip:end,8); % Altitude
Br = M(1:skip:end,12); % Radial component
Bt = M(1:skip:end,16); % Colatitudinal component
Bp = M(1:skip:end,20); % Longitudinal component
rad = alt+rplanet; % Position of MESSENGER
dlmwrite(fullfile('GMTdata','locAlt.txt'),[lon, lat, alt])
dlmwrite(fullfile('GMTdata','locBr.txt'),[lon, lat, Br])
case('region')
XY = NewNorthCaloris();
dlmwrite(fullfile('GMTdata','Newregion.txt'),XY)
XY = NewNorthCalorisSmallerlon10lat3();
dlmwrite(fullfile('GMTdata','NewregionSmallerlo10la3.txt'),XY)
%XY = NorthCaloris();
%dlmwrite(fullfile('GMTdata','region.txt'),XY)
%XY = NorthCalorisSmallerlon10lat5();
%dlmwrite(fullfile('GMTdata','regionSmallerlo10la5.txt'),XY)
%XY = NorthCalorisStrong();
%dlmwrite(fullfile('GMTdata','regionStrong.txt'),XY)
%XY = NorthCalorisSmallerlon20lat5();
%dlmwrite(fullfile('GMTdata','regionSmallerlo20la5.txt'),XY)
case('caloris')
GMTmakecirc(18.2,162,90-30.5,fullfile('GMTdata','Caloris.txt'))
case('suisei')
GMTmakecirc(15,215,60,'GMTdata/SuiseiCap.txt')
case('rmse')
%defval('name','Lmax130-subs30-findBestJ-5runs-longrun');
%defval('name','Lmax130-subs30-findBestJ-ToSf4p5-fullCollect');
%defval('name','NewNC-Lmax134-subs30-collectAll')
defval('name','NewNC-Lmax134-subs15-collect10')
load(fullfile('results',name));
foldername = fullfile('GMTdata','solutions','rms',name)
mkdir(foldername);
for i=1:size(errB,1)
writematrix([J',errB(i,:)'],fullfile(foldername,sprintf('rms%d.txt',i)));
end
if size(errB,1)==1
writematrix([J',errB'],fullfile(foldername,sprintf('meanrms.txt',i)));
else
writematrix([J',mean(errB)'],fullfile(foldername,sprintf('meanrms.txt',i)));
end
case('model')
%defval('name','NewNC-Lmax134-subs30-collectAll')
defval('name','NewNC-Lmax134-subs15-collect10')
%index = 6;
%index = 10;
%index = 1%3%1; % This is for the keep coefficients
load(fullfile('results',name));
foldername = fullfile('GMTdata','solutions')
coefs = meancoefs;
%coefs = cf;
% cf = keepcoef;
% n = size(cf,1)
% coefs = cf{1,index};
% for i=2:n
% coefs = coefs + cf{i,index};
% end
% coefs = coefs/n;
res = 0.2;
GMTexportfield2(coefs{index}/sqrt(4*pi), fullfile(foldername,[name,sprintf('J%d',J(index))]), rplanet, 0, 1, [0,90,360,25],[], [], res, 0);
case('modeldiff')
%defval('name','NewNC-Lmax134-subs30-collectAll')
defval('name','NewNC-Lmax134-subs15-collect10')
%index1 = 22;
%index2 = 10;
%index1 = 1;
%index2 = 3;%2;
load(fullfile('results',name));
foldername = fullfile('GMTdata','solutions')
coefs = meancoefs;
%coefs = cf;
% cf = keepcoef;
% n = size(cf,1);
% coefs1 = cf{1,index1};
% coefs2 = cf{1,index2};
% for i=2:n
% coefs1 = coefs1 + cf{i,index1};
% coefs2 = coefs2 + cf{i,index2};
% end
% coefs1 = coefs1/n;
% coefs2 = coefs2/n;
res = 0.2;
GMTexportfield2((coefs{index}-coefs{index2})/sqrt(4*pi), fullfile(foldername,[name,sprintf('J%d-%d',J(index),J(index2))]), rplanet, 0, 1, [0,90,360,25],[], [], res, 0);
case('meanspec')
%defval('index',6) %6);
Ltap = 6;
Lmax = 134;
lmin= 0;%20;
lrng=(lmin+Ltap):(Lmax-Ltap);
N = []% How many tapers to use?
Wiec=true;
defval('name','NewNC-Lmax134-subs30-collectAll')
%defval('name','NewNC-Lmax134-subs15-collect10')
defval('savename',sprintf('%s-index%d-Ltap%d-lrng%dto%d-Wiec', name, index, Ltap,min(lrng),max(lrng)))
load(fullfile('results',name));
foldername = fullfile('GMTdata','solutions',savename,'spec')
mkdir(foldername)
ls=0:Lmax;
%region = 'NorthCalorisSmallerlon10lat5';
region = 'NewNorthCalorisSmallerlon10lat3';
coefs=meancoefs;
%coefs=cf;
[spec,para,fitspec,sig,chisq]=singleSourceDepth(coefs{index},Ltap,N,lrng,Lmax,Wiec);
filename = fullfile(foldername,sprintf('meancoef-spec-depth%g-th%g-chisq%g.txt',rplanet-para(1),para(2),chisq))
dlmwrite(filename,[ls(:), spec(:)])
filename = fullfile(foldername,'meancoef-sigshading.txt');
lsp = [ls(:);flipud(ls(:));ls(1)];
spsig = [spec(:)+sig(:);flipud(spec(:)-sig(:));spec(1)+sig(1)];
dlmwrite(filename,[lsp,spsig])
filename = fullfile(foldername,'meancoef-bestFitSpec.txt');
dlmwrite(filename,[ls(lrng+1)', fitspec(lrng+1)])
case('chisq')
% This is in the MAIN paper
%defval('name','NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs30-index12-Ltap6-lrng26-128-highres')
% These are in the SUPPL
%defval('name','NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs30-index10-Ltap6-lrng26-128-highres')
%defval('name','NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs15-10runs-index6-Ltap6-lrng26-128-highres')
defval('name','NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs50-10runs-index6-Ltap6-lrng26-128-highres')
% These are NOT paper or supp
%defval('name','NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs30-index12-Ltap11-lrng31-123-highres')
%defval('name','NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs30-index12-Ltap6-lrng6-128-highres')
defval('savename', name)
load(fullfile('results',name))
foldername = fullfile('GMTdata','solutions',savename)
mkdir(foldername)
% First write out example of a chi square map
filename = sprintf('singleChiSquare-km.grd')
%grdwrite2p(th,rplanet-rsource,csq,fullfile(foldername,filename))
grdwrite2p(th*pi/180*rplanet,rplanet-rsource,csq,fullfile(foldername,filename))
% Then the min csq per depth
[csqDepth]=singleChiSqDepthWiecz(csq);
filename = sprintf('singleChiSquare-minPerDepth.txt')
writematrix([csqDepth(:),rplanet-rsource(:)],fullfile(foldername,filename))
case('additionalSpec')
depth = 10
rsource=2440 - depth;
%index=12
Lmax=134;
Ltap=6;
%lrng=(20+Ltap):(134-Ltap);
lrng=(Ltap):(134-Ltap);
ls = 0:Lmax;
N=[];
% First calculate local spectrum
defval('name','NewNC-Lmax134-subs30-collectAll')
%csqname = 'NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs30-index12-Ltap6-lrng26-128-highres'
csqname = sprintf('NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs30-index%d-Ltap%d-lrng%d-%d-highres',index,Ltap,lrng(1),lrng(end));
%csqname = 'NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs30-index12-Ltap9-lrng29-125-highres'
%csqname = 'NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs30-index10-Ltap11-lrng31-123-highres'
%defval('name','NewNC-Lmax134-subs15-collect10')
%csqname = 'NewSingleChiSqMat-NewNorthCalorisSmallerlon10lat3-Wiecz-Lmax134-subs15-10runs-index6-Ltap6-lrng26-128-highres'
defval('savename',sprintf('%s-index%d-Ltap%d-lrng%dto%d-Wiec', name, index, Ltap,min(lrng),max(lrng)))
foldername = fullfile('GMTdata','solutions',savename,'spec')
mod = load(fullfile('results',name));
coef = mod.meancoefs{index};
region = 'NewNorthCalorisSmallerlon10lat3';
[spec,spectap,V,sig] = localspectrum(coef2lmcosi(coef/sqrt(4*pi),0), Ltap, region, N, [],[],[],2,rplanet);
csq=load(fullfile('results',csqname));
% find the minimum
ind = find(csq.rsource==rsource);
[mi,in] = min(csq.csq(ind,:));
th = csq.th(in)
fitspec = specWiec(rsource, th, 1, rplanet, Lmax, Ltap);
A = bestAsig(fitspec(lrng+1),spec(lrng+1),sig(lrng+1));
fitspec = fitspec*A;
nparam=3;
chisq = 1/(length(lrng+1)-nparam) *sum( ( (fitspec(lrng+1) - spec(lrng+1))./sig(lrng+1) ).^2 );
filename = fullfile(foldername,sprintf('additional-spec-depth%g-th%g-chisq%g.txt',rplanet-rsource,th,chisq))
dlmwrite(filename,[ls(lrng+1)', fitspec(lrng+1)])
end
% Write best fitting spectrum to median source depth
%fitspec = SRD(rplanet-mean(depths),rplanet,rplanet,Lmax,Ltap);
%mnspec = mean(cell2mat(invspecML)');
%fitspec = bestA(fitspec(lrng+1),mnspec(lrng+1))*fitspec;
%filename = fullfile(foldername,sprintf('fitmnspec-l%dto%d.txt',min(lrng),max(lrng)));
%dlmwrite(filename,[lrng(:),fitspec(lrng+1)])
% case('manyChisq')
% %%%%%% This is for the many chisquare calc
% %%% Load....
% error('need to write loading... Probably dont even want this...')
% % Then also the count per depth of how many models allowed for the
% % depth with one or two sigmas
% filename = sprintf('depthProb-1sigma.txt')
% writematrix([rplanet-rsource(:),counts1s(:)],fullfile(foldername,filename))
% filename = sprintf('depthProb-2sigma.txt')
% writematrix([rplanet-rsource(:),counts2s(:)],fullfile(foldername,filename))
% case('spec')
% index = 1%10; % Keep coef index
% Ltap = 8;
% Lmax=130;
% %lrng=Ltap:Lmax-Ltap;
% lrng=26:(Lmax-Ltap);
% N = []% How many tapers to use?
% Wiec=true;
% %defval('name','Lmax130-subs30-findBestJ-5runs-longrun')
% defval('name','Lmax130-subs30-findBestJ-ToSf4p5-fullCollect')
% %defval('savename',sprintf('%s-Ltap%d-lrng%dto%d-Wiec', name, Ltap,min(lrng),max(lrng)))
% defval('savename',sprintf('%s-Ltap%d-lrng%dto%d-Wiec', name, Ltap,min(lrng),max(lrng)))
% %lrng=Ltap:Lmax-Ltap;
% load(fullfile('results',name));
% foldername = fullfile('GMTdata','solutions',savename,'spec')
% cf = keepcoef;
% mkdir(foldername)
% ls=0:Lmax;
% region = 'NorthCalorisSmallerlon10lat5';
% n = size(cf,1);
% meancoef = zeros(size(cf{1,index}));
% for i=1:n
% %[spec,para,fitspec,sig]=singleSourceDepthSuisei(cf{i,index},Ltap,N,lrng,Lmax,Wiec)
% %[spec,para,fitspec,sig]=singleSourceDepth(cf{i,index},Ltap,N,lrng,Lmax,Wiec)
% [spec,spectap,V,sig] = localspectrum(coef2lmcosi(cf{i,index}/sqrt(4*pi),0), Ltap, region, N, [],[],[],2,rplanet);
% filename = fullfile(foldername,sprintf('spec%d.txt',i));
% dlmwrite(filename,[ls(:), spec(:)])
% filename = fullfile(foldername,sprintf('sig%d.txt',i));
% dlmwrite(filename,[ls(:), sig(:)])
% %depths(i) = rplanet-para(1);
% meancoef = meancoef + cf{i,index};
% end
% meancoef = meancoef/n;
% [spec,para,fitspec,sig]=singleSourceDepth(meancoef,Ltap,N,lrng,Lmax,Wiec);
% filename = fullfile(foldername,sprintf('meancoef-spec-depth%g.txt',rplanet-para(1)));
% dlmwrite(filename,[ls(:), spec(:)])
% filename = fullfile(foldername,'meancoef-sigshading.txt');
% lsp = [ls(:);flipud(ls(:));ls(1)];
% spsig = [spec(:)+sig(:);flipud(spec(:)-sig(:));spec(1)+sig(1)];
% dlmwrite(filename,[lsp,spsig])
% filename = fullfile(foldername,'meancoef-bestFitSpec.txt');
% dlmwrite(filename,[ls(lrng+1)', fitspec(lrng+1)])
% % Also write source depths
% %filename = fullfile(foldername,'depths.txt');
% %dlmwrite(filename,[zeros(length(depths(:)),1),depths(:)])