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  • src/sas/sascalc/pr/invertor.py

    rb8080e1 reeea6a3  
    7171        A[j][i] = (Fourier transformed base function for point j) 
    7272 
    73     We them choose a number of r-points, n_r, to evaluate the second 
     73    We then choose a number of r-points, n_r, to evaluate the second 
    7474    derivative of P(r) at. This is used as our regularization term. 
    7575    For a vector r of length n_r, the following n_r rows are set to :: 
     
    144144        x, y, err, d_max, q_min, q_max and alpha 
    145145        """ 
    146         if   name == 'x': 
     146        if name == 'x': 
    147147            if 0.0 in value: 
    148148                msg = "Invertor: one of your q-values is zero. " 
     
    227227        return None 
    228228 
     229    def add_errors(self, yvalues): 
     230        """ 
     231        Adds errors to data set is they are not avaialble 
     232        :return: 
     233        """ 
     234        stats_errors = np.zeros(len(yvalues)) 
     235        for i in range(len(yvalues)): 
     236            # Scale the error so that we can fit over several decades of Q 
     237            scale = 0.05 * np.sqrt(yvalues[i]) 
     238            min_err = 0.01 * yvalues[i] 
     239            stats_errors[i] = scale * np.sqrt(np.fabs(yvalues[i])) + min_err 
     240        logger.warning("Simulated errors have been added to the data set\n") 
     241        return stats_errors 
     242 
    229243    def clone(self): 
    230244        """ 
     
    268282            A[i][j] = (Fourier transformed base function for point j) 
    269283 
    270         We them choose a number of r-points, n_r, to evaluate the second 
     284        We then choose a number of r-points, n_r, to evaluate the second 
    271285        derivative of P(r) at. This is used as our regularization term. 
    272286        For a vector r of length n_r, the following n_r rows are set to :: 
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