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Dateien nach "ILP/Kaffee" hochladen

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kilian
2026-08-18 12:25:45 +02:00
parent 98aa308d17
commit 6e75fb523f
2 changed files with 10 additions and 10 deletions
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ILP/Kaffee/nmrSimilarityCaffeine.py
+3 -3
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@@ -97,7 +97,7 @@ C17XANTHINE = {
1: ([153.04], [1]),
2: ([158.80], [1]),
3: ([113.44], [1]),
4: ([1651.81], [1]),
4: ([151.81], [1]),
5: ([142.72], [1]),
6: ([36.80], [1]),
7: ([28.59], [1]),
@@ -284,7 +284,7 @@ def correction(spectra, corretionppm):
return newspectra
def main():
spectrumref = CNMR3
spectrumref = CNMR2
#1H-NMR Spectra ignoriert, da meiste H sauer, da an N gebunden
#spectra = [HXANTHINE, H1XANTHINE, H3XANTHINE, H7XANTHINE, H1XANTHINE, H17XANTHINE, H37XANTHINE, H137XANTHINE]
spectra = [CXANTHINE, C1XANTHINE, C3XANTHINE, C7XANTHINE, C1XANTHINE, C17XANTHINE, C37XANTHINE, C137XANTHINE]
@@ -293,7 +293,7 @@ def main():
for spectrumtrue in spectra:
similaritybycorrection = []
#Paper Chemical reviews Carbons bound to Heavy atoms (TMS) to high -> this could be reason for too high values.
correctionvalues = [2.63] #np.arange(0, 1.51, 0.01) #for C tested np.arange(-0.37, 7.64, 0.1) 0, 2.63, 1 (for CNMR3), 1.5 (true for all ref, 8.37 + 1.5 for the precision), 1 (good for first, ok for second, third because only 7 better/equal but for first much higher) np.arange(-1.5, 1.49, 0.01) (only for first), for H 0 (not good), np.arange(-0.26, 0.34, 0.01), -0.06 for first, second never first either 17 or caf higher np.arange(-0.15, 0.16, 0.01) good measure
correctionvalues = [2.5] #np.arange(0, 1.51, 0.01) #for C tested np.arange(-0.37, 7.64, 0.1) 0, 2.63, 1 (for CNMR3), 1.5 (true for all ref, 8.37 + 1.5 for the precision), 1 (good for first, ok for second, third because only 7 better/equal but for first much higher) np.arange(-1.5, 1.49, 0.01) (only for first), for H 0 (not good), np.arange(-0.26, 0.34, 0.01), -0.06 for first, second never first either 17 or caf higher np.arange(-0.15, 0.16, 0.01) good measure
for correctionvalue in correctionvalues:
spectrumrefcorrected = correction(spectrumref, correctionvalue) #CCAFFEINE 11 (klappt hier sehr gut) CCAFFEINE2 12 CPARAXANTHINE 10 CNMR1 9, 10 o 11 (sehr gut) CNMR2 10 o 11
similaritylist = []