diff --git a/PeakOTron.py b/PeakOTron.py index bf9ab2e3fd380f46b436a80c2a5c379c7955bd8a..21951b7bf1b2516ae79153fc13eec1f216c02ec8 100644 --- a/PeakOTron.py +++ b/PeakOTron.py @@ -1736,46 +1736,46 @@ class PeakOTron: if(np.isnan(Q_0)): if(self._verbose): - print("Q_0 returned nan in prefit. Setting Q_0 to 1 bin"): - Q_0 = 1 - dQ_0 = 0.1 + print("Q_0 returned nan in prefit. Setting Q_0 to 1 bin") + Q_0 = 1 + dQ_0 = 0.1 if(np.isnan(G)): if(self._verbose): - print("G returned nan in prefit. Setting G to 1 bin"): - G = 1 - dG = 0.1 + print("G returned nan in prefit. Setting G to 1 bin") + G = 1 + dG = 0.1 if(np.isnan(mu)): if(self._verbose): - print("mu returned nan in prefit. Setting mu to 1 p.e."): - mu = 1 - dmu = 0.1 + print("mu returned nan in prefit. Setting mu to 1 p.e.") + mu = 1 + dmu = 0.1 if(np.isnan(lbda)): if(self._verbose): - print("lbda returned nan in prefit. Setting lbda to 1e-2."): - lbda = 1e-2 - dlbda = 0.1 + print("lbda returned nan in prefit. Setting lbda to 1e-2.") + lbda = 1e-2 + dlbda = 0.1 if(np.isnan(sigma_0)): if(self._verbose): - print("sigma_0 returned nan in prefit. Setting sigma_0 to 1 bin."): - sigma_0 = 1 - dsigma_0 = 0.1 + print("sigma_0 returned nan in prefit. Setting sigma_0 to 1 bin.") + sigma_0 = 1 + dsigma_0 = 0.1 if(np.isnan(sigma_1)): if(self._verbose): - print("sigma_0 returned nan in prefit. Setting sigma_1 to 1 bin."): - sigma_1 = 1 - dsigma_1 = 0.1 + print("sigma_1 returned nan in prefit. Setting sigma_1 to 1 bin.") + sigma_1 = 1 + dsigma_1 = 0.1 if(np.isnan(DCR)): if(self._verbose): - print("DCR returned nan in prefit. Setting DCR to 1e-9 GHz."): - DCR = 1e-9 - dDCR = 1e-2 + print("DCR returned nan in prefit. Setting DCR to 1e-9 GHz.") + DCR = 1e-9 + dDCR = 1e-2 ######################################################################################################## ## Store results in the class for fitting/reference.