def Aug27abs():
"""UVvis spectra of CdS dots prepared for Zurich XPS"""
figure()
title('Aug27')
a = loadtxt('/home/chris/Dropbox/DataWeiss/150827/CdS_synthAug27.csv', skiprows = 1, unpack= True,delimiter=',')
a[1]-=a[1][0]
plot(a[0],a[1])
b = loadtxt('/home/chris/Dropbox/DataWeiss/150827/CdSsynthAug27_fluor.csv',skiprows = 1, unpack= True,delimiter=',')
b = RamanSpectrum(pandas.Series(b[3],b[0]))
b.set_name('myname')
b[:]/=b[408]
b.plot()
b[:]/=b[408]
r = fitspectrum(b,(407,470),'xGaussian',[1,0.5,0.2,423,439,450,18,10,18,0,0])
print r.params
for i in r.peaks:
plot(r.x,i)
b.plot()
print r.params[0][6]
print 'FWHM fluorescence =', 2*numpy.sqrt(r.params[0][6]*log(2))
figure()
title('UVVis absorption of CdS quantum dots')
c = loadtxt('/home/chris/Dropbox/DataWeiss/150828/CdS_synthAug28.csv', skiprows = 1, unpack= True,delimiter=',')
c[1]-=c[1][0]
plot(c[0],c[1])
ylabel('absorbance (a. u.)')
xlabel('wavelength (nm)')
annotate('$\lambda_{max}$ = 412 nm \n diameter = 3.8 nm',(412,0.51))
figure()
title('Aug31')
d = loadtxt('/home/chris/Dropbox/DataWeiss/150831/CdS_synthAug31.csv', skiprows = 1, unpack= True,delimiter=',')
d[1]-=d[1][0]
d[1]/=0.497
plot(d[0],d[1])
dfluor = loadtxt('/home/chris/Dropbox/DataWeiss/150831/CdS_synthAug31_fluor.csv',skiprows = 1, unpack= True,delimiter=',')
dfluor = RamanSpectrum(pandas.Series(dfluor[3],dfluor[0]))
dfluor.set_name('myname')
dfluor[:]-=min(dfluor)
dfluor[:]/=dfluor[422]
dfluor.plot()
legend(['absoption', 'fluorescence'])
ylabel('absorbance (a. u.)')
xlabel('wavelength (nm)')
r = fitspectrum(dfluor,(407,670),'xGaussian',[1,1,423,580,18,200,0,0])
print r.params
# for i in r.peaks:
# plot(r.x,i)
print 'FWHM fluorescence =', 2*numpy.sqrt(r.params[0][4]*log(2))
figure()
title('all spectra corrected for dilution')
subplot(121)
a[1]*=(1652/52)
c[1]*=(1675/73)
d[1]*=(1731/63)
plot(a[0],a[1])
plot(c[0],c[1])
plot(d[0],d[1])
legend(['Aug27', 'Aug28', 'Aug31'])
ylabel('absorbance of original solution (a. u.)')
average = (40*a[1]+40*c[1]+80*d[1])/160
subplot(122)
plot(a[0],average)
legend(['average'])
return 0
