def __treat_data(self, RawData):
idx = RawData.TOF.argsort()
TOF = RawData.TOF[idx] / 1000 - self.__IRDelay + self.__offset
Signal = (RawData.Baseline - RawData.Signal)[idx]
Signal = helper.subtract_baseline(Signal, left=self.__numbasecorr)
idx, = np.where(TOF > 0)
numomitt = len(TOF) - len(idx)
if numomitt > 0:
print "Warning: Omitting the first %d datapoints because TOF <= 0!" % numomitt
return TOF[idx], Signal[idx]
def __init__(self, filename, numbasecorr=20, Normalize=True, plot=True):
self.__filename = filename
self.__numbasecorr = numbasecorr
RawData = RawTOFData(filename)
self.__RawData = RawData
idx = RawData.TOF.argsort()
self.__TOF = RawData.TOF[idx] / 1000
Signal = (RawData.Baseline - RawData.Signal)[idx]
self.__Signal = helper.subtract_baseline(Signal, left=self.__numbasecorr)
if Normalize:
self.__Signal = helper.normalize(self.__Signal)
self.__ylabel = r"$\mathrm{Normalized\ REMPI\ Signal}$"
else:
self.__ylabel = r"$\mathrm{REMPI\ Signal}$"
if plot:
self.plot()