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ALYSIS AND DEVELOPMENT OF THE SERIES
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EXPANSION METHODS IN THRESHOLD
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DETECTOR ACTIVATION DATA HANDLING
^ ^ • A ^ " * " ^ '"WHIT*!
Joint Nuclear Research Center
Ispra Establishment Italy
Scientific Data Processing Center CETIS
Paper presented at the Symposium on Fast and Epithermal Neutron Spectra in Reactors
Harwell, Didcot (Great Britain) December 1113, 1963
This document was prepared under the sponsorship
the European Atomic Energy Community (EURATOM).
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E U R 588. e
E R R A T U M
Would y o u p l e a s e r e a d on t h e c o v e r p a g e :
J o i n t N u c l e a r R e s e a r c h C e n t e r
I s p r a E s t a b l i s h m e n t -
Italy-S c i e n t i f i c D a t a P r o c e s s i n g C e n t e r - C E T I Italy-S
and
EUR 588.e
ANALYSIS AND DEVELOPMENT OF THE SERIES EXPANSION METHODS IN THRESHOLD DETECTOR ACTIVATION DATA HANDLING by G. DI COLA and A. ROTA
European Atomic Energy Community — EURATOM
Joint Nuclear Research Center — Ispra Establishment (Italy) Scientific Data Processing Center (CETIS)
Paper presented at the Symposium on Fast and Epithermal Neutron Spectra in Reactors — Harwell, Didcot (Great Britain),
December 11-13, 1963
Brussels, February 1964 — 20 pages — 6 figures
The threshold detector activation data treatment by the series expansion methods has been analyzed. The numerical problems connected with the use of digital computers have been investigated. A development connected with the possibility of using detectors with quasi linear-dependent cross-sections is proposed. The series expan-sion coefficients were obtained through the Gauss method by solving a least square problem. Experimental and « test » activation data have been processed.
EUR 588.e
ANALYSIS AND DEVELOPMENT OF THE SERIES EXPANSION METHODS IN THRESHOLD DETECTOR ACTIVATION DATA HANDLING by G. DI COLA and A. ROTA
European Atomic Energy Community — EURATOM
Joint Nuclear Research Center — Ispra Establishment (Italy) Scientific Data Processing Center (CETIS)
Paper presented at the Symposium on Fast and Epithermal Neutron Spectra in Reactors — Harwell, Didcot (Great Britain),
December 11-13, 1963
Brussels, February 1964 — 20 pages — 6 figures
EUR SOO.e
EUROPEAN ATOMIC ENERGY COMMUNITY - EURATOM
ANALYSIS AND DEVELOPMENT OF THE SERIES
EXPANSION METHODS IN THRESHOLD
DETECTOR ACTIVATION DATA HANDLING
by
G. DI COLA and A. ROTA
1964
Joint Nuclear Research Center Ispra Establishment - Italy
Scientific Data Processing Center - CETIS
CONTENTS
Page
1. Introduction 5
2. The Polynomial and O r t h o n o r m a l Methods 6
3. S e r i e s Expansion Methods Generalization 7
3. 1. Input Data for n u m e r i c a l t e s t s 8
3.
Z.
The Weighting function 8
3. 3. General R e m a r k s 9
4. Relative Deviation Minimization Method R D M M 10
5. R D M M Results and Discussion 12
5
Introduction
The activation measurements of the threshold detectors are frequently
used for the inpile neutron spectra determination) this technique
has the following advantages«
The threshold detectors are not sensible to the high gamma fluxes
of the reactors
The small volume of the detectors prevent any neutron flux deformation
No connection with the outside of the reactor is required
The activation measurements are easy and not very expensive.
The experimental measurements may be expressed as A} numbers» they
indicate the reaction probability per second for one nuoleus of the
ith isotope, when immersed into the unknown neutron flux. It follows
that: ^, es
(D
where C;
[ζ)
i s t h e d i f f e r e n t i a l neutron c r o s s s e c t i o n of the i t h
i s o t o p e for the r e a c t i o n i n q u e s t i o n , and ^ ( , ^ ) i s t h e f a s t n e u t r o n
d i f f e r e n t i a l f l u x (n/cm
. sec . Mev). The i n t e g r a t i o n range may "be
reduced from ( 0 , c o ) t o ( t j ,
0 5) as
ζΓ
ν( t ) s O
for
E"
<
E'^
When the A; are known, a procedure has to be established for solving
the system of equations (ï). Many methods have been proposed to attain
this solution [ 1 ] , [ 2~] . This work is a study of the group of methods
known as "polynomial" and "orthonormal" methods. This set has been
chosen for the following reasons:
1) It seems to he the more suitable for the neutron spectra description,
even if it is not reactor generated.
2) A development is possible whioh allows the activation data inter
pretation, even if the detectors have not completely linear inde
pendent crosssections.
Generally this second fact prevented the use of these methods with
2. The Polynomial and Orthonormal Methods
In the polynomial method, introduced "by Uthe [ 2>~] , the spectral
shape is assumed to be a polynomial in energy, with as many terms as detectors used, multiplied by a chosen weighting funotion. This method is an extension of the simple polynomial method, in which
-κ.
(2) f l e j =
y . &Ί
E· (n - number of detectors)
' o
vin fact the suggested form i s :
-Vf ·
(3) cp ( E ) * i*(e) Ζ ·
0- ' . ^
1 o
where Wis) is a suitable weighting function. Originally the actual meaning of (3) was a deformation of the fission speotrum W(E) by a polynomial.
The method using a series expansion of orthonormal functions has
been suggested independently by Trice \A~\ and Hartman et al. Γ 5l ·
Here <~P (E) is given by:
■w
(4)
^ ) = λ ;
α ;
Τ ^
The system of orthonormal functions is obtained using the Schmit's
orthogonalization method, beginning from the cross section functions
ere
(E).
Brownell et al. [6 J proposed the following variation of the above
mentioned method:
CP(E) is assumed to be described by
(5)
cflO
a
w U ) | > : 4 ^
e
)
where VÌE) has the usual meaning and the set of ¡J/; functions is
obtained by the same procedure used by Hartman and Trice.
Many different solutions ^Ρ'(Έ) are obtained by random deviation
of the input activation data.
7
-The last considered method, due to Laming and Brown [7^ , has been
reconsidered in
γ
6 J . ^ ( E ) is assumed to be described by:
(6) Cf [e)- ^Ιε)·ΐΛ;^-ΐε)
where the /(; , i-degree polynomial, are an orthonormal set of
functions, orthogonal, in the (θ, E ^
y) range to W(E).
3. Series Expansion Methods Generalization
Prom the above, it is easy to see that all the described methods may
be unified in one class where Q> (E) is expanded in the following
series of linearly independent functions:
(ï) CfU)-- tf/(j=) £ . a
:
y>;[e)
By a suitable interpretation of the weighting function W(E) and of
the system of functions U>(E), the expressions (2), (3)> (4)> (5)» (6)
may be obtained.
This generalization appears trivial, however it is possible to state
only one procedure for the solution of the system of equation (ï).
The appropriate ¥ function and the system
U^;(E)may be selected on
the basis of parameters. In fact, by introducing the expression (7)
in the equations (ï), one obtains:
(8)
Al ·= G;U)|WU)L·,a.jVftle)]áE - ^ . û· S;
J
£:
where
(9)
£ l
- 8
3·1· Input Data for numerical tests
The orthonormal methods have been tested by the following reaction data:
1) Np - 237 (n, f)
2) U - 238 (n, f)
3) Th - 232 (n, f)
4) S - 32 (η, ρ) Ρ - 32
5) Ni - 58 (η, ρ) Co - 58
6) Al - 27 (η, ρ) Mg - 27
7) Fe - 56 (η, ρ) Μη - 56
8) ΑΙ - 27 (η,« ) Na - 24
The cross section was taken from literature £_8J .
Two sets of activation data Ai have been tested:
- a "test" set, derived from the assumed O; by a "test" neutron
r -2.3 Ε _ -0.Ϊ5 E
spectrum:
cp[£.; = [e- + D.o3 e, J
o.s<-e- an "experimental" set obtained from Ispra 1 Reactor in the PH3 position [8Ί .
3.2. The Weighting function
A series of numerical tests have been performed in order to determine the influence of the weighting function when using the orthonormal methods.
The test results show clearly that a good choice of the W ( E ) function is very important. The fig. 1 shows the results
obtained from a set of 6 threshold deteotor "test" activation data by three different weighting functions:
_ c
4.
2. a
-E
/Oowiv (zi[ IV/AH hiiiork sptötr*«*/
Other similar results have been obtained from experimental data. For neutron thermal pile spectra the more suitable weighting
function seems to be e (see also {."j"] )«
3.3· General Remarks
The use of the above methods suggest the following observations*
1 - The expansion term number is conditioned by the number of the detectors used and vice-versa.
2 - The cross-sections CT; (E) must be linearly independent functions: if this condition is not satisfied the matrix of the system coefficients is singular. The system becomes ill conditioned if the G"; functions are quasi-linearly dependent.
In the considered sample the couples Th, U and Si, Ni appear to have similarly shaped cross-seotions. It follows that the use of the whole set is not always possible (fig. 2 ) | this is true particularly when real problems are considered, because the Ai and CT¿(E) values are affected by experimental errors, both absolute and relative to one another. This difficulty appears more evident in the methods where the orthonormal functions are generated starting from the cross-sections (see expansions (4) and (5) ).
Many numerical tests have been performed on "test" and "experimental" values (8 detectors), using the above mendioned method with
VÌE) » e and the following type of polynomials:
a) Simple polynomial.
b) Orthonormal polynomials over (O, E^A ) i) range, relative to
the specified W(E).
c) Orthonormal polynomials generated by the CT^ functions d) Laguerre polynomials.
The fig. 2 and 3 show the results respectively obtained with the "test" and "experimental" data. They are completely different from one another and general conclusions are not possible. The most of them are not good: the only reliable results appear to be the ones obtained by simple and Laguerre polynomials from "test" data, despite the fact that they show some deviations
10
The evidenciated troubles could be overcome by the choice of a
suitably reduced number of detectors. Numerical tests of this type
have been performed:
By using suitable sets of s A. χ detectors chosen from the eight
available, as suggested by the previous considerations, all the
methods have given reliable results. Unfortunately the spectrum
shapes are not the same for different choices of deteotors sets
as shown in fig. 4· The pronounced differences observed are a con
sequence of the experimental errors of the Ai and vTj, (E) values.
There is no significant difference in the results obtained from
the test problem using different detectors sets, when the Ai and
<Γ·(Ε) are error free . Since for different sets of experi
mental data (relative to the same experience) different neutron
shape spectra are obtained, the problem arises of seleoting a
representative spectrum.
The above reported remarks suggested a more general formulation of
the problem by taking into account the following statements:
1) All the available activation data, independently from the cross
section shape, must have the possibility to be used.
2) The solution must approximate the Ai values in the best possible
way.
3) The results are desired to b6 independent from the particular
choice of the Vi/ functions.
4. Relative Deviation Minimization Method R D M M
Suppose the searched flux may be expanded in the series:
(10)
cp|e) = Wie) ·
Ζ- °~¿
4 ^ I
e
)
t h e b e s t aproximation Q
7(E) t o Ci? (E) i s assumed t o be the one
minimizing t h e q u a d r a t i c form:
A· j y , r l 5 ) ^ U ) d 5 '
(11)
Q(/VW, < ^ , < ^ , . · · ^ ) = Ζ |
tu
i
A;
11
-0
2
> S U
6
) = V</le)Z
c
Q-'^ Ψ-ΙΌ
I
The quadratic form (11) represents the sum of the squares of the
relative deviation of the A. and, according to the Legendre least
square postulate, the obtained solution gives, in the sense of
least square, the best aproximation to the exponential data.
The search of the minimum of Q, once m is fixed, is performed by
the Gauss Method.
The requirement of the minimum of Q imposes the conditions:
(13)
1£L
s
o
k . l , ...,/vvu
and hence leads to the linear system in the m unknowns a., a_ ...
a :
m
m m
(14) S
1S a - S e
where:
θ
S
3?U,
Κ
1)
s
:]
-
-L js-.-UJuKe)^;^)^
τ
S indicates the transpose of the matrix S. Among the solutions
CP. , Cp
t,
^f/ito.>
"the one that gives the minimum value of Q
is chosen.
When m « nthis method is actually equivalent to the oollooation
method [ 9l » where the simple system S a - e is solved. The last
one is the method used in all the procedures described in eeot. 3/
that may be regarded as particular cases of rhe RDMM, once imposed
12
-5« R D M M Results and Discussion
In order to carry out the data processing by the RDMM a FORTRAN code for the standard IBM-709O has been prepared.This oode has been used to process the "experimental" and "test" data with different ohoices of polynomial expansions. In all the tests performed the weighting function W(E) - e was used.
The more significant results are shown in fig.s 4 to 6.
The spectra obtained by using the reduced sets of deteotors (with the collocation method: see 3·3), as well as a spectrum obtained by the complete set of deteotors are shown in fig. 4· The comparison of these curvs indicates that the speotrum obtained by the RDMM may be regarded as an average between the ones obtained by the collocation method.
The fig. 5 shows the results obtained from "experimental" data (complete set of 8 detectors) by the RDMM using the polynomials a), b ) , d) of sect. 3·3 and the Chebyshev polynomials. Significant differences exist for experimental data only at high energy values of speotrum. These differences do not appear when "test" data are used. This fact indicates that the RDMM results may be considered inddpendentjfrom the particular ohoioe of the IP functions.
In the test performed with 8 detectors the values fo the quadratio form Q (11) were not very different from eaoh other when m - 5,6,7· This faot results in very similar spectrum shapes, as may be seen
in fig. 6. This figure shows the ourves Cf> , γ ^ , (γ-, obtained by
13
-B i b i o g r a p h y .
1 P . D e l a t t r e - C.E.A. 1979 (1961)
2 "Neutron d o s i m e t r y " — P r o c e e d i n g s of t h e Symposium of Harwell 10-14 Dec. 1962 IAEA 1963, 2 v o l l .
3 P.M. Uthe - WADC-TR-57-3 / CNE-9 ( O c t . 1957) 4 J . B . T r i c e - APEX-408 (1957)
5 S.R. Hartmann, A.D. A s t i a - 142029,WADD (1957) / WADC 57.375 6 G.L. B r o w n e l l , M.R. Rajn, R.A. Rydin, R . I . Schermer —
r e f e r e n c e 2, p a g . 70
7 W.P. Lanning, K.W. Brown - WAPD-T-I38O ( S e p t . I 9 6 I )
8 M. B r e s e s t i , A.M. Del Turco, A. O s t i d i c h , A. Rota, G. S e g r e , r e f e r e n c e 2, p a g . 49
9 L. C o l l a t z - "The Numerical Treatment of t h e D i f f e r e n t i a l E q u a t i o n " Springer—Verlag, B e r l i n I960, p a g . 28-29
10 F . B . H i l d e b r a n d - " I n t r o d u c t i o n t o Numerical A n a l y s i s "
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