Loading peak_integration.py +0 −11 Original line number Diff line number Diff line Loading @@ -1972,17 +1972,6 @@ class PeakHistogram(object): self.init_params = np.array(params_init) self.fit_params = result.x # fit_params[0] = fit_params[0] / np.sqrt(sc) # fit_params[1] = fit_params[1] / np.sqrt(sc) # return self.fit_params, True, bins # print(result) # print(params_init) # print(result.success) # print(result.x) # print('Chi2: ',chi2(fit_params)) # print(np.linalg.eig(peak_loss.hessian(self.fit_params))[0]) # print(np.linalg.eig(numerical_hessian(self.fit_params, lambda y: peak_loss(y)))[0]) if _debug: print(f'\nConverged: {result.success}') Loading Loading
peak_integration.py +0 −11 Original line number Diff line number Diff line Loading @@ -1972,17 +1972,6 @@ class PeakHistogram(object): self.init_params = np.array(params_init) self.fit_params = result.x # fit_params[0] = fit_params[0] / np.sqrt(sc) # fit_params[1] = fit_params[1] / np.sqrt(sc) # return self.fit_params, True, bins # print(result) # print(params_init) # print(result.success) # print(result.x) # print('Chi2: ',chi2(fit_params)) # print(np.linalg.eig(peak_loss.hessian(self.fit_params))[0]) # print(np.linalg.eig(numerical_hessian(self.fit_params, lambda y: peak_loss(y)))[0]) if _debug: print(f'\nConverged: {result.success}') Loading