Page 252 - Radiochemistry and nuclear chemistry
P. 252

236                  Radiochemistry  and Nuclear  Chemistry

               followed by a decay within the time interval dt, probability rdt.  The total probability is then
               given  by  the  product  of  the  individual  probabilities  of  the  two  processes,  i.e.  if  the
               combined  probability  is denoted  P(t)dt  then

                                           P(t)dt  =  P(0)  x  r dt

               By applying the  Poisson distribution and noting  that r  is equal  to  SN 0 we obtain


                                    P(t)dt  =  XIV 0 e-kNot dt  =  A 0 e -a~  dt    (8.21)

                In experimental work with radionuclides many other errors occur in addition to statistical
               error  in  the  count  rate.  Such  errors  may  originate  in  the  weighing  or  volumetric
               measurements,  pH  determination,  etc.  Such  errors  must also  be  considered  in presenting
               the f'mal results.  For such composite errors,  the law of error propagation  must be applied:

                                     OF=  [(% dF/dA) 2  +  (a B dF/dB)2] V2         (8.22)

               where o F is the (one standard deviation) error in F,  which is a function of the uncorrected
               variables A, B,  ...,  with the standard errors o A, o B, etc.  For the product A.B and ratio A/B,
               one obtains

                                             F  =  (A.B)  ( 1 -t- s)                (8.23)

                                             F  =  (A/B)  (14-s)                   (8.24)

               where

                                        s  =  [(o A/A) 2  +  (o B/B)2] ~A          (8.25)

               For  the  function/l x and  log A  the  following relations are valid

                                           F  =  A x  +  x.A x-1  o A              (8.26)


                                       F  =  log A  +[o A/(2.303A)] 1'~            (8.27)
                A  useful  technique  for  checking  that  the  error  in  the  measurements  has  a  Gaussian
               distribution  is  the  so-called  "x-square"  test.  The quantity  X 2 is calculated  from

                                            M
                                       X 2  -  [ E (F  -  Fi  )2 ]/[~'(k  -  1)1   (8.28)
                                            i=1

               where M  is the number of measurements (e.g.  points on a curve)  for which the function F
               is (believed  to be) valid.  X 2 would have a value 0.5  -  1.0 when  the Gaussian  fit exceeds
               50%.  k is  the number of fre~om,  i.e.  M  plus the number of independent  variables.  This
               relation is generally valid;  for simple counting systems F  is replaced by N,  the number of
               counts  in a  given  time interval,  and k  =  M.
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