Hi everyone,

I was looking at the NOE tool in relax and was quite surprised by the
way errors are calculated...

In the file 'specific_fns/noe.py' of the 1.2 line (r3354), the function
for the noe error is :

                         _____________________________________________
                       \/ {sd(sat)*I(unsat)}^2 + {sd(unsat)*I(sat)}^2
            sd(NOE) = -----------------------------------------------
                                          I(unsat)^2


Shouldn't this be more like :

                               _____________________________________________
            sd(NOE) =  NOE * \/ {sd(sat)*I(sat)}^2 + {sd(unsat)*I(unsat)}^2


In other words, shouldn't the NOE error be the product of the NOE by the
root of the squared sum of relative errors for Isat and Iunsat,
respectively ? Ain't this the way one should normally propagate errors
for value calculated by a division (like NOE=Isat/Iunsat)

What are the main advantages of calculating errors with either
techniques and why the one is relax should be more accurate ?


Thanks !


Sébastien

-- 
         ______________________________________    
     _______________________________________________
    |                                               |
   || Sebastien Morin                               ||
  ||| Etudiant au PhD en biochimie                  |||
 |||| Laboratoire de resonance magnetique nucleaire ||||
||||| Dr Stephane Gagne                             |||||
 |||| CREFSIP (Universite Laval, Quebec, CANADA)    ||||
  ||| 1-418-656-2131 #4530                          |||
   ||                                               ||
    |_______________________________________________|
         ______________________________________    



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