Changes in / [f6c19cf:3522037] in sasview
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src/sas/sascalc/pr/invertor.py
rb8080e1 r6701a0b 71 71 A[j][i] = (Fourier transformed base function for point j) 72 72 73 We the mchoose a number of r-points, n_r, to evaluate the second73 We then choose a number of r-points, n_r, to evaluate the second 74 74 derivative of P(r) at. This is used as our regularization term. 75 75 For a vector r of length n_r, the following n_r rows are set to :: … … 144 144 x, y, err, d_max, q_min, q_max and alpha 145 145 """ 146 if 146 if name == 'x': 147 147 if 0.0 in value: 148 148 msg = "Invertor: one of your q-values is zero. " … … 227 227 return None 228 228 229 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 242 229 243 def clone(self): 230 244 """ … … 244 258 invertor.x = self.x 245 259 invertor.y = self.y 246 invertor.err = self.err 260 if np.size(self.err) == 0 or np.all(self.err) == 0: 261 invertor.err = self.add_errors(self.y) 262 else: 263 invertor.err = self.err 247 264 invertor.est_bck = self.est_bck 248 265 invertor.background = self.background … … 268 285 A[i][j] = (Fourier transformed base function for point j) 269 286 270 We the mchoose a number of r-points, n_r, to evaluate the second287 We then choose a number of r-points, n_r, to evaluate the second 271 288 derivative of P(r) at. This is used as our regularization term. 272 289 For a vector r of length n_r, the following n_r rows are set to ::
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