def FitProcessSpectrum(self, pymca_config, spectrum):
advancedFit = ClassMcaTheory.McaTheory(config=pymca_config)
advancedFit.enableOptimizedLinearFit()
mfTool = ConcentrationsTool(pymca_config)
tconf = mfTool.configure()
advancedFit.config['fit']['use_limit'] = 1
advancedFit.setdata(y=spectrum)
advancedFit.estimate()
fitresult, tmpresult = advancedFit.startfit(digest=1)
tmpresult = advancedFit.imagingDigestResult()
temp = {}
temp['fitresult'] = fitresult
temp['result'] = tmpresult
for bcts, pk in zip(self.BckndCounts, self.peaks_quant):
tmpresult[pk]['fitarea']-=bcts
temp['result']['config'] = advancedFit.config
tconf.update(advancedFit.configure()['concentrations'])
conc = mfTool.processFitResult(config=tconf, fitresult=temp,
elementsfrommatrix=False,
fluorates=advancedFit._fluoRates)
calc_mf=numpy.float32([conc['mass fraction'][pk] for pk in self.peaks_quant])
return calc_mf, tmpresult
def init(config):
global advanced_fit, mass_fraction_tool
from PyMca.ClassMcaTheory import McaTheory
config['fit']['use_limit'] = 1
advanced_fit = McaTheory(config=config)
advanced_fit.enableOptimizedLinearFit()
if 'concentrations' in config:
mass_fraction_tool = ConcentrationsTool(config['concentrations'])
mass_fraction_tool.config['time'] = 1
else:
mass_fraction_tool = None
