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Dateien nach "ILP/butadien" hochladen

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kilian
2026-09-16 10:37:11 +02:00
parent 3414babe50
commit 22e6e0b25a
1 changed files with 13 additions and 0 deletions
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ILP/butadien/nmrSimilarityButadien.py
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@@ -252,6 +252,14 @@ def similarity_nmr(spectraref, spectranew, bin_width):
simidx = crosscorr / math.sqrt(refselfcorr * newselfcorr) simidx = crosscorr / math.sqrt(refselfcorr * newselfcorr)
return(simidx) return(simidx)
def correction(spectra, corretionppm):
newspectra = {}
for id, (shift, height) in spectra.items():
shiftvalue = shift[0]
adjustedshift = shiftvalue + corretionppm
newspectra[id] = ([adjustedshift], height)
return newspectra
def addspectra(spectrum1, spectrum2): def addspectra(spectrum1, spectrum2):
spectrum = spectrum1.copy() spectrum = spectrum1.copy()
for _, ([ppm2], [height2]) in spectrum2.items(): for _, ([ppm2], [height2]) in spectrum2.items():
@@ -264,6 +272,7 @@ def addspectra(spectrum1, spectrum2):
def main(): def main():
normalize = False
spectrumrefs = [addspectra(CP0, CP1), addspectra(CP0, CP4), addspectra(CP0, CP11)] spectrumrefs = [addspectra(CP0, CP1), addspectra(CP0, CP4), addspectra(CP0, CP11)]
spectra = [CBUTADIEN, CP0, CP1, CP2, CP3, CP4, CP5, CP6, CP7, CP8, CP9, CP10, CP11, CP12, CP13, CP14, CP15, CP16, CP17, CP18] spectra = [CBUTADIEN, CP0, CP1, CP2, CP3, CP4, CP5, CP6, CP7, CP8, CP9, CP10, CP11, CP12, CP13, CP14, CP15, CP16, CP17, CP18]
spectranames = ['C=CC=C or Butadien', 'C=C or Ethyen or CP0', 'C=CC=CC=C or Hexatrien or CP1', 'C1CCC(C=C)CC=1 or CP2', 'C(CCC(C=C)CC=C)=C or CP3', 'C=CC=CC=CC=C or Octatetraen or CP4', 'C1CCC(C=CC=C)CC=1 or CP5', 'C=CC1C=CCCC1 or CP6', 'C1CCCCC=1 or Cyclohexen or CP7', 'C=CC1CC=CCC1C=C or CP8', 'C1CCC(C=C)C(C=C)C=1 or CP9', 'C(C1CC(C=C)C=CC1)=C or CP10', 'C1C=CC=CC=1 or CP11', 'C(CCC1C=CC=CC1)=C or CP12', 'C1C(C=CC=C)CCCC=1 or CP13', 'C=CC(C=C)CCCC=C or CP14', 'C=CCCCCC=C or CP15', 'C=CC1C=CC(C=C)CC1 or CP16', 'C1CC2CCCCC2CC=1 or CP17', 'C1CC2C=CC=CC2CC=1 or CP18'] spectranames = ['C=CC=C or Butadien', 'C=C or Ethyen or CP0', 'C=CC=CC=C or Hexatrien or CP1', 'C1CCC(C=C)CC=1 or CP2', 'C(CCC(C=C)CC=C)=C or CP3', 'C=CC=CC=CC=C or Octatetraen or CP4', 'C1CCC(C=CC=C)CC=1 or CP5', 'C=CC1C=CCCC1 or CP6', 'C1CCCCC=1 or Cyclohexen or CP7', 'C=CC1CC=CCC1C=C or CP8', 'C1CCC(C=C)C(C=C)C=1 or CP9', 'C(C1CC(C=C)C=CC1)=C or CP10', 'C1C=CC=CC=1 or CP11', 'C(CCC1C=CC=CC1)=C or CP12', 'C1C(C=CC=C)CCCC=1 or CP13', 'C=CC(C=C)CCCC=C or CP14', 'C=CCCCCC=C or CP15', 'C=CC1C=CC(C=C)CC1 or CP16', 'C1CC2CCCCC2CC=1 or CP17', 'C1CC2C=CC=CC2CC=1 or CP18']
@@ -276,7 +285,11 @@ def main():
similaritylist.append(similarity_nmr(spectrumtrue, spectrumref, i)) similaritylist.append(similarity_nmr(spectrumtrue, spectrumref, i))
similaritymean = sum(similaritylist) / len(similaritylist) similaritymean = sum(similaritylist) / len(similaritylist)
likelihoods.append(similaritymean) likelihoods.append(similaritymean)
if normalize:
normalizedlikelihood = [round(likelihood/np.sum(likelihoods), 2) for likelihood in likelihoods] normalizedlikelihood = [round(likelihood/np.sum(likelihoods), 2) for likelihood in likelihoods]
print(normalizedlikelihood) print(normalizedlikelihood)
if not normalize:
notnormalizedlikelihood = [round(likelihood, 2) for likelihood in likelihoods]
print(notnormalizedlikelihood)
if __name__ == "__main__": if __name__ == "__main__":
main() main()