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Fission Product Yield Data for the Transmutation of Minor Actinide ...

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Appendix II<br />

DATA ADJUSTMENT FOR MASS RESOLUTION<br />

A method and code have been developed <strong>for</strong><br />

mass resolution adjustment <strong>of</strong> mass distribution<br />

data measured by means <strong>of</strong> <strong>the</strong> kinetic energy<br />

method. <strong>Data</strong> were smoo<strong>the</strong>d be<strong>for</strong>e adjustment<br />

with a second order function <strong>for</strong> 7 or 9 adjacent<br />

points, and <strong>the</strong> investigation shows that taking too<br />

few or too many data points in <strong>the</strong> smoothing<br />

procedure could lead to unreasonable results. The<br />

code was tested by folding <strong>the</strong> adjusted data with a<br />

Gaussian distribution and a resolution width <strong>the</strong><br />

same as <strong>the</strong> one used in <strong>the</strong> adjustment procedure.<br />

Results were practically identical to <strong>the</strong> original<br />

unadjusted input data. The data uncertainties were<br />

also adjusted by <strong>the</strong> code. This code has subsequently<br />

been applied to re-define <strong>the</strong> mass distribution<br />

data measurements <strong>of</strong> Zöller, Vivès and<br />

Äystö by <strong>the</strong> kinetic energy method.<br />

II.1. INTRODUCTION<br />

The fission yield <strong>for</strong> each product nuclide<br />

measured by <strong>the</strong> kinetic energy or double time-<strong>of</strong>flight<br />

method is not a true mass yield but, due to<br />

incomplete mass resolution, <strong>the</strong> sum <strong>of</strong> contributions<br />

from several adjacent masses, <strong>the</strong> yields <strong>of</strong><br />

which are each folded by a Gaussian distribution<br />

function. They must be adjusted <strong>for</strong> mass resolution<br />

in order to obtain <strong>the</strong> true yield.<br />

II.2. ADJUSTMENT METHOD AND CODE<br />

According to Schmitt [II.1], <strong>the</strong> adjustment<br />

can be done using <strong>the</strong> following <strong>for</strong>mula:<br />

Y ( A) = Y ( A)<br />

-<br />

C U<br />

s 2 2<br />

2<br />

dYC( A)<br />

2<br />

dA<br />

Liu Tingjin<br />

China Institute <strong>of</strong> Atomic Energy, China<br />

(II.1)<br />

where Y C , Y U are <strong>the</strong> corrected/adjusted and<br />

uncorrected/unadjusted yields respectively, and s is<br />

<strong>the</strong> mass resolution, defined as half-width at halfmaximum<br />

(s is erroneously called <strong>the</strong> full width in<br />

Ref. [II.1]).<br />

To avoid <strong>the</strong> effect <strong>of</strong> statistical fluctuation,<br />

<strong>the</strong> data were smoo<strong>the</strong>d be<strong>for</strong>e adjustment by<br />

fitting with a second order function <strong>for</strong> every 5<br />

adjacent data points,<br />

Y(A) = a + bA + cA 2<br />

(II.2)<br />

and <strong>the</strong> yield <strong>of</strong> <strong>the</strong> central mass was taken as <strong>the</strong><br />

new yield at that mass. For <strong>the</strong> first and last two data<br />

points at <strong>the</strong> ends <strong>of</strong> <strong>the</strong> measured mass distributions,<br />

<strong>the</strong> results <strong>of</strong> <strong>the</strong> respective complete 5 point<br />

fits <strong>for</strong> <strong>the</strong> corresponding third points from <strong>the</strong> ends<br />

were used as <strong>the</strong> adjusted yields.<br />

The coefficients a, b, c were obtained from <strong>the</strong><br />

following group <strong>of</strong> equations, which were deduced<br />

by <strong>the</strong> least squares method <strong>for</strong> each group <strong>of</strong> 5 data<br />

points:<br />

Ê<br />

Á<br />

Ë<br />

Ê<br />

Á<br />

Ë<br />

Ê<br />

Á<br />

Ë<br />

N<br />

N<br />

N<br />

N<br />

ˆ Ê ˆ Ê ˆ<br />

2<br />

w a w A b w A c w Y<br />

i ˜ + Á i i˜<br />

+ Á i i ˜ = Â i i<br />

¯ Ë ¯ Ë ¯<br />

  Â<br />

i= n<br />

i= n<br />

Ii= n<br />

i= n<br />

N<br />

N<br />

N<br />

N<br />

ˆ Ê ˆ Ê ˆ<br />

2 3<br />

wA a wA b wA c wY<br />

i i˜<br />

+ Á i i ˜ + Á i i ˜ = Â i i<br />

¯ Ë ¯ Ë ¯<br />

  Â<br />

i= n<br />

i= n<br />

Ii= n<br />

N<br />

(II.3)<br />

where N = n + 5, n = 1, 2,……(M – 4), and M is <strong>the</strong><br />

total number <strong>of</strong> data points to be fitted.<br />

The double differential <strong>of</strong> Eq. (II.2) with<br />

respect to A is 2c, so Eq. (II.1) becomes<br />

Y C (A) = Y U (A) – c s 2<br />

i= n<br />

N<br />

N<br />

N<br />

ˆ Ê ˆ Ê ˆ<br />

2 3 4<br />

wA a wA b wA c wY<br />

i i ˜ + Á i i ˜ + Á i i ˜ = Â<br />

i i i<br />

¯ Ë ¯ Ë ¯<br />

  Â<br />

i= n<br />

i= n<br />

Ii= n<br />

i= n<br />

(II.4)<br />

The data were adjusted using Eq. (II.4). s<br />

reflects <strong>the</strong> uncertainty due to <strong>the</strong> experimental<br />

conditions and is usually given by <strong>the</strong> author in <strong>the</strong><br />

publication.<br />

A i<br />

A 2<br />

305

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