View source for Greatfit.m (Matlab program fot fitting)

fid = fopen('datafile.m','r');

z = fscanf(fid, '%g'); 

fclose(fid);

x=[0:4095];

time=[979:1999];

counts=([z(979:1999)])';

plot(x,z,'r');

xlabel('Channel'); ylabel('Number of Counts');

hold on

modelFun =  @(p,x) p(1).*exp((-(x-p(2)).^2)/(2*p(3).^2))+p(4).*exp((-(x-p(5)).^2)/(2*p(6).^2))+p(7).*exp((-(x-p(8)).^2)/(2*p(9).^2));

startingVals = [800 1150 100 500 1250 100 100 1450 300];

coefEsts = nlinfit(time, counts, modelFun, startingVals);

xgrid = linspace(900,2000,1000);

line(xgrid, modelFun(coefEsts, xgrid), 'Color','m');

plot(x, coefEsts(1).*exp((-(x-coefEsts(2)).^2)/(2*coefEsts(3).^2))+coefEsts(4).*exp((-(x-coefEsts(5)).^2)/(2*coefEsts(6).^2))+coefEsts(7).*exp((-(x-coefEsts(8)).^2)/(2*coefEsts(9).^2)),'g','LineWidth',1.5)

axis([700 2500 0 1000])

xsmallarea=0:976;

xlargearea=976:4095;

ysmallarea=coefEsts(1).*exp((-(xsmallarea-coefEsts(2)).^2)/(2*coefEsts(3).^2))+coefEsts(4).*exp((-(xsmallarea-coefEsts(5)).^2)/(2*coefEsts(6).^2))+coefEsts(7).*exp((-(xsmallarea-coefEsts(8)).^2)/(2*coefEsts(9).^2));

ylargearea=coefEsts(1).*exp((-(xlargearea-coefEsts(2)).^2)/(2*coefEsts(3).^2))+coefEsts(4).*exp((-(xlargearea-coefEsts(5)).^2)/(2*coefEsts(6).^2))+coefEsts(7).*exp((-(xlargearea-coefEsts(8)).^2)/(2*coefEsts(9).^2));

SmallArea=trapz(xsmallarea,ysmallarea)

LargeArea=trapz(xlargearea,ylargearea)

Ratio_percent=100*SmallArea/(SmallArea+LargeArea)

modelFun1 =  @(s,x) s(1).*exp((-(x-s(2)).^2)/(2*s(3).^2));

startingVals = [800 1150 100 ];

coefEsts = nlinfit(timegamma, countsgamma, modelFun1, startingVals);

xgrid = linspace(0,900,1000);

line(xgrid, modelFun1(coefEsts, xgrid), 'Color','m');

plot(x, coefEsts(1).*exp((-(x-coefEsts(2)).^2)/(2*coefEsts(3).^2)),'b','LineWidth',1.1)


[http://www.iac.isu.edu/mediawiki/index.php/Peaks_fitting Go Back]