Loading sas_temper/sas_temper_engine.py +2 −1 Original line number Diff line number Diff line Loading @@ -477,9 +477,10 @@ def est_uncerts(d, f, modconf, best_model): lprof = sas_calc.calc_profile(d,stepped[w],lprof_usm) for z in range(0,len(best_model.y)): tprof.y[z] = 0.5*(lprof.y[z]-best_model.y[z])/(d.dy[z]*steps[w]) if z==0: print(str(best_model.y[z]) + " " + str(lprof.y[z]) + " " + str(steps[w]) + " tprof.y[0] = "+str(tprof.y[z])) tprof.y[z] = 0.5*(lprof.y[z]-best_model.y[z])/(d.dy[z]*steps[w]) JT.append(tprof.y) #this is the matrix that we want Loading Loading
sas_temper/sas_temper_engine.py +2 −1 Original line number Diff line number Diff line Loading @@ -477,9 +477,10 @@ def est_uncerts(d, f, modconf, best_model): lprof = sas_calc.calc_profile(d,stepped[w],lprof_usm) for z in range(0,len(best_model.y)): tprof.y[z] = 0.5*(lprof.y[z]-best_model.y[z])/(d.dy[z]*steps[w]) if z==0: print(str(best_model.y[z]) + " " + str(lprof.y[z]) + " " + str(steps[w]) + " tprof.y[0] = "+str(tprof.y[z])) tprof.y[z] = 0.5*(lprof.y[z]-best_model.y[z])/(d.dy[z]*steps[w]) JT.append(tprof.y) #this is the matrix that we want Loading