-
Notifications
You must be signed in to change notification settings - Fork 6
/
Copy pathunresx.tex
1361 lines (1157 loc) · 52.7 KB
/
unresx.tex
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
\section{UNRESR}
\label{sUNRESR}
\hypertarget{sUNRESRhy}{The}
UNRESR\index{UNRESR|textbf} module is used to produce effective self-shielded
\index{self-shielding} cross sections for resonance reactions in the
unresolved energy range.\index{unresolved resonance range} In ENDF-format
evaluations, the unresolved range begins at an energy where it is difficult
to measure individual resonances and extends to an energy where the effects
of fluctuations in the resonance cross sections become unimportant for
practical calculations. As described in the ENDF format
manual,\cite{ENDF102} resonance information for this energy range is
given as average values for resonance widths and spacings together
with distribution functions for the widths and spacings. This
representation can be converted into effective cross sections suitable
for codes that use the background cross section method, often
called the Bondarenko method,\cite{Bondarenko}\index{Bondarenko method}
using a method originally developed for the MC2
code\cite{MC2}\index{MC2} and extended for the ETOX
code\cite{ETOX}\index{ETOX}. This unresolved-resonance method
has the following features:
\begin{itemize}
\begin{singlespace}
\item Flux-weighted cross sections are produced for the total,
elastic, fission, and capture cross sections, including
competition with inelastic scattering.
\item A current-weighted total cross section is produced for
calculating the effective self-shielded transport cross section.
\item The energy grid used is consistent with the grid used by
\hyperlink{sRECONRhy}{RECONR}.
\item The computed effective cross sections are written on the
PENDF tape in a specially defined section (MF2, MT152) for
use by other modules.
\item The accurate quadrature scheme from the MC2-2 code\cite{MC22}
is used for computing averages over the ENDF statistical distribution
functions.
\end{singlespace}
\end{itemize}
This chapter describes the UNRESR module in NJOY2016.0.
\subsection{Theory}
\label{ssUNRESR_theory}
In the unresolved energy range, it is not possible to define
precise values for the cross sections of the resonance reactions
$\sigma_x(E)$, where $x$ stands for the reaction type (total,
elastic, fission, or capture). It is only possible to define
average values. Of course, these average values should try
to preserve the reaction rate:
\begin{equation}
\overline{\sigma}_{0x}(E^*)=\frac
{\displaystyle\int_{E_1}^{E_2}\sigma_x(E)\,\phi_0(E)\,dE}
{\displaystyle\int_{E_1}^{E_2}\phi_0(E)\,dE}\,\,,
\label{sbar0}
\end{equation}
\noindent
where $\phi_0(E)$ is the scalar flux, $E^*$ is an effective energy
in the range $[E_1,E_2]$, and the range $[E_1,E_2]$ is large
enough to hold many resonances but small with respect to
slowly varying functions of $E$. In order to calculate
effective values for the transport cross section, it is
necessary to compute the current-weighted total cross
\index{current weighting}
section also. It is given by
\begin{equation}
\overline{\sigma}_{1t}(E^*)=\frac
{\displaystyle\int_{E_1}^{E_2}\sigma_x(E)\,\phi_1(E)\,dE}
{\displaystyle\int_{E_1}^{E_2}\phi_1(E)\,dE}\,\,,
\end{equation}
\noindent
where the P$_1$ component of the neutron flux, $\phi_1(E)$, is
proportional to the neutron current. To proceed farther, it is
necessary to choose a model for the shape of $\phi_\ell(E)$ in the
vicinity of $E^*$. The model used in UNRESR is based on the
B$_0$ approximation for large homogeneous systems and narrow
resonances:
\begin{equation}
\phi_\ell(E)=\frac{C(E)}{[\,\Sigma_t(E)\,]^\ell}\,\,,
\end{equation}
\noindent
where $C(E)$ is a slowly varying function of $E$, and
$\Sigma_t(E)$ is the macroscopic total cross
section for the system. In order to use this result in
Eq.~\ref{sbar0}, it is further assumed that the effects of other
isotopes in the mixture can be approximated by a constant called
$\sigma_0$ in the range $[E_1,E_2]$, or
\begin{equation}
\phi_\ell(E)=\frac{C(E)}{[\,\sigma_0+\sigma_t(E)\,]^\ell}\,\,.
\label{flux}
\end{equation}
\noindent
Therefore, the effective cross sections in the unresolved range
are represented by
\begin{equation}
\overline{\sigma}_{0x}(E^*)=\displaystyle\frac
{\displaystyle\int_{E_1}^{E_2}
\frac{\sigma_x(E)}{\sigma_0+\sigma_t(E)}C(E)\,dE}
{\displaystyle\int_{E_1}^{E_2}
\frac{1}{\sigma_0+\sigma_t(E)}C(E)\,dE}\,\,,
\end{equation}
\noindent
with $x$ being $t$ for total, $e$ for elastic, $f$ for fission,
and $\gamma$ for capture, and
\begin{equation}
\overline{\sigma}_{1t}(E^*)=\displaystyle\frac
{\displaystyle\int_{E_1}^{E_2}
\frac{\sigma_x(E)}{[\,\sigma_0+\sigma_t(E)\,]^2}C(E)\,dE}
{\displaystyle\int_{E_1}^{E_2}
\frac{1}{[\,\sigma_0+\sigma_t(E)\,]^2}C(E)\,dE}\,\,.
\end{equation}
\noindent
This equation can also be written in the equivalent form
\begin{equation}
\overline{\sigma}_{1t}(E^*)=\displaystyle\frac
{\displaystyle\int_{E_1}^{E_2}
\frac{1}{\sigma_0+\sigma_t(E)}C(E)\,dE}
{\displaystyle\int_{E_1}^{E_2}
\frac{1}{[\,\sigma_0+\sigma_t(E)\,]^2}C(E)\,dE}
- \sigma_0\,\,.
\end{equation}
The parameter $\sigma_0$\index{$\sigma_0$} in Eq.~\ref{flux} deserves
more discussion. It can be looked at as a parameter that controls
the depth of resonance dips in the flux. When $\sigma_0$ is
large with respect to the peak cross sections of resonances in
$\sigma_t(E)$, the shape of the flux is essentially $C(E)$.
For smaller values of $\sigma_0$, dips will develop in the
flux that correspond to peaks in $\sigma_t$. These dips will
cancel out part of the reaction rate in the region of the
peaks, thus leading to self-shielding\index{self-shielding}
of the cross section. Analysis shows that it is possible to use
this single parameter to represent the effects of admixed materials
or the effects of neutron escape from an absorbing region. See
the \hyperlink{sGROUPRhy}{GROUPR}\index{GROUPR} chapter
of this manual for additional details.
The cross sections that appear in the above integrals can be
written as the sum of a resonant part and a smooth part as
follows:
\begin{equation}
\sigma_x(E)=b_x+\sigma_{Rx}(E)
=b_x+\sum_s\sum_r\sigma_{xsr}(E{-}E_{sr})\,\,,
\end{equation}
\noindent
where $s$ is an index to a spin sequence, $r$ is an index to
a particular resonance in that spin sequence, and $E_{sr}$ is
the center energy for that resonance. The smooth part $b_x$
can come from a smooth background given in the ENDF file,
and it also includes the potential scattering cross section
\index{potential scattering} $\sigma_p$ for the elastic and
total cross sections ($x{=}t$ and $x{=}e$). In terms of the
smooth and resonant parts, the effective cross sections become
\begin{equation}
\overline{\sigma}_{0x}(E^*)=b_x+\displaystyle\frac
{\displaystyle\int_{E_1}^{E_2}
\frac{\sigma_{Rx}(E)}{\overline{\sigma}+\sigma_{Rt}(E)}C(E)\,dE}
{\displaystyle\int_{E_1}^{E_2}
\frac{1}{\overline{\sigma}+\sigma_{Rt}(E)}C(E)\,dE}\,\,,
\label{R1}
\end{equation}
\noindent
and
\begin{equation}
\overline{\sigma}_{1t}(E^*)=\displaystyle\frac
{\displaystyle\int_{E_1}^{E_2}
\frac{1}{\overline{\sigma}+\sigma_{Rt}(E)}C(E)\,dE}
{\displaystyle\int_{E_1}^{E_2}
\frac{1}{[\,\overline{\sigma}+\sigma_{Rt}(E)\,]^2}C(E)\,dE}
- \sigma_0\,\,,
\label{R2}
\end{equation}
\noindent
where $\overline{\sigma}=b_t+\sigma_0$. It is convenient to
transform the denominators of Eqs.~\ref{R1} and \ref{R2} into
\begin{equation}
\int\frac{1}{\overline{\sigma}+\sigma_t}C\,dE
=\frac{1}{\overline{\sigma}}\left\{
\int C\,dE-\int\frac{\sigma_t}
{\overline{\sigma}+\sigma_t}C\,dE\right\}\,\,,
\end{equation}
\noindent
and
\begin{equation}
\int\frac{1}{[\overline{\sigma}+\sigma_t]^2}C\,dE
=\frac{1}{\overline{\sigma}^2}\left\{
\int C\,dE-\int\frac{\sigma_t}
{\overline{\sigma}+\sigma_t}C\,dE
-\int\frac{\overline{\sigma}\sigma_t}
{[\overline{\sigma}+\sigma_t]^2}C\,dE\right\}\,\,.
\end{equation}
\noindent
Furthermore, since $C(E)$ is assumed to be a slowly-varying function
of $E$, it can be pulled out through all integrals and dropped.
The average cross sections become
\begin{equation}
\overline{\sigma}_{0x}=b_x+\frac{\overline{\sigma}I_{0x}}
{1-I_{0t}}\,\,,
\end{equation}
\noindent
and
\begin{equation}
\overline{\sigma}_{1t}=b_t+\frac{\overline{\sigma}I_{1t}}
{1-I_{0t}-I_{1t}} \,\,.
\end{equation}
\noindent
The last equation can also be written in the form
\begin{equation}
\overline{\sigma}_{1t} = \overline{\sigma}\left[
\frac{1-I_{0t}}{1-I_{0t}-I_{1t}}\right]-\sigma_0\,\,.
\end{equation}
\noindent
The average cross sections are thereby seen to depend on two types of
``fluctuation integrals:''\index{fluctuation integrals}
\begin{equation}
I_{0x}=\frac{1}{E_2-E_1}
\int_{E_1}^{E_2}\frac{\sigma_{Rx}(E)}
{\overline{\sigma}+\sigma_{Rt}(E)}\,dE\,\,,
\end{equation}
\noindent
and
\begin{equation}
I_{1t}=\frac{1}{E_2-E_1}
\int_{E_1}^{E_2}\frac{\overline{\sigma}\sigma_{Rt}(E)}
{[\,\overline{\sigma}+\sigma_{Rt}(E)\,]^2}\,dE\,\,,
\end{equation}
\noindent
where $x$ can take on the values $t$, $n$, $f$, or $\gamma$. Note
that $I_{1t}{\leq}I_{0t}$, the difference increasing as $\sigma_0$
decreases from infinity.
Inserting the actual sums over resonances into the formula
for $I_{0x}$ gives
\begin{equation}
I_{0x}=\frac{1}{E_2-E_1}
\int_{E_1}^{E_2}\frac{\sum_{sr}\sigma_{xsr}(E-E_{sr})}
{\overline{\sigma}+\sum_{sr}\sigma_{tsr}(E-E_{sr})}\,dE\,\,.
\end{equation}
\noindent
If the resonances were widely separated, only the ``self'' term
would be important, and one would obtain
\begin{equation}
I_{0x}=\sum_{sr}\frac{1}{E_2-E_1}
\int_{E_1}^{E_2}\frac{\sigma_{xsr}(E-E_{sr})}
{\overline{\sigma}+\sigma_{tsr}(E-E_{sr})}\,dE\,\,.
\end{equation}
\noindent
Since the range of integration is large with respect to the width
of any one resonance, the variable of integration can be changed to
$\xi{=}E{-}E_{sr}$, and the limits on $\xi$ can be extended to
infinity. For any one sequence, the interval $E_2{-}E_1$ is
equal to the average spacing of resonances in that sequence times
the number of resonances in the interval. Therefore,
\begin{equation}
I^I_{0x}=\sum_s\frac{1}{D_s}
\frac{1}{N_s}\sum_r\int_{-\infty}^\infty
\frac{\sigma_{xsr}(\xi)}
{\overline{\sigma}+\sigma_{tsr}(\xi)} \,d\xi\,\,
\end{equation}
\noindent
where $D_s$ is the average spacing, and the ``I'' superscript
indicates that this is the ``isolated resonance'' result.
\index{isolated resonances}
Because there are assumed to be many resonances in the interval,
the sum over resonances can be changed to a multiple integration
over some characteristic set of parameters (such as widths) times
the probability of finding a resonance with some particular
values of the parameters:
\begin{equation}
\frac{1}{N}\sum_{r\in s}f_r={<}f{>}_s=
\int d\alpha P_s(\alpha)\int d\beta P_s(\beta)\cdots
f(\alpha,\beta,\cdots)\,\,.
\end{equation}
\noindent
In the following text, this multiple integral (up to four fold)
will be abbreviated by writing the $\alpha$ integral only.
The final results for isolated resonances are as follows:
\begin{equation}
I^I_{0x}=\sum_s\frac{1}{D_s}\int P(\alpha)
\int_{-\infty}^\infty\frac{\sigma_{xs\alpha}(\xi)}
{\overline{\sigma}+\sigma_{ts\alpha}(\xi)}\,d\xi\,d\alpha\,\,,
\end{equation}
\noindent
and
\begin{equation}
I^I_{1t}=\sum_s\frac{1}{D_s}\int P(\alpha)
\int_{-\infty}^\infty\frac{\overline{\sigma}\sigma_{ts\alpha}(\xi)}
{[\,\overline{\sigma}+\sigma_{ts\alpha}(\xi)\,]^2}\,d\xi\,d\alpha\,\,.
\end{equation}
If the effects of overlap are too large to be neglected, overlap
\index{resonance overlap} corrections to the isolated resonance
result can be constructed using the continued-fraction generator
\begin{equation}
\frac{1}{a+b}=\frac{1}{a}\left(1-\frac{b}{a+b}\right)\,\,.
\end{equation}
\noindent
Starting with the $I_0$ integrals,
\begin{eqnarray}
\frac{\sum_{sr}\sigma_{xsr}}
{\overline{\sigma}+\sum_{sr}\sigma_{tsr}}
&=&\sum_{sr}
\frac{\sigma_{xsr}}
{\overline{\sigma}+\sigma_{tsr}}\Bigl\{\,1 \nonumber\\
&-&\sum_{r'{\neq}r}\frac{\sigma_{tsr'}}
{\overline{\sigma}+\sum\sigma_{tsr}}
-\sum_{s'\neq s}\sum_{r'}\frac{\sigma_{ts'r'}}
{\overline{\sigma}+\sum\sigma_{tsr}}\Bigr\}\,\,.
\end{eqnarray}
\noindent
Expand the second term in the braces to get
\begin{eqnarray}
\frac{\sum_{sr}\sigma_{xsr}}
{\overline{\sigma}+\sum_{sr}\sigma_{tsr}}
&=&\sum_{sr}
\frac{\sigma_{xsr}}
{\overline{\sigma}+\sigma_{tsr}}\Bigl\{\,1 \nonumber\\
&-&\sum_{r'{\neq}r}\frac{\sigma_{tsr'}}
{\overline{\sigma}+\sigma_{tsr}+\sigma_{tsr'}} \nonumber\\
& &\;\;\;\Bigl\{1
-\sum_{{r''\neq r}\atop{r''\neq r'}}\frac{\sigma_{tsr''}}
{\overline{\sigma}+\sum\sigma_{tsr}}
-\sum_{s'\neq s}\sum_{r'}\frac{\sigma_{ts'r'}}
{\overline{\sigma}+\sum\sigma_{tsr}}\Bigr\}\nonumber\\
&-&\sum_{s'\neq s}\sum_{r'}\frac{\sigma_{ts'r'}}
{\overline{\sigma}+\sum\sigma_{tsr}}\Bigr\}\,\,.
\end{eqnarray}
\noindent
Neglecting the products of three {\em different} resonances
in sequence $s$ gives
\begin{eqnarray}
\frac{\sum_{sr}\sigma_{xsr}}
{\overline{\sigma}+\sum_{sr}\sigma_{tsr}}
&=&\sum_{sr}
\frac{\sigma_{xsr}}
{\overline{\sigma}+\sigma_{tsr}} \nonumber\\
&\times&\Bigl\{1-\sum_{r'{\neq}r}\frac{\sigma_{tsr'}}
{\overline{\sigma}+\sigma_{tsr}+\sigma_{tsr'}}
\Bigr\} \nonumber\\
&\times& \Bigl[\, 1-\sum_{s'\neq s}\sum_{r'}\frac{\sigma_{ts'r'}}
{\overline{\sigma}+\sum\sigma_{tsr}} \,\Bigr]\,\,.
\end{eqnarray}
\noindent
The factor before the opening brace is the isolated
resonance result, the factor in braces is the in-sequence
overlap correction, and the factor in brackets is the
sequence-sequence overlap correction.
\index{in-sequence overlap}
\index{sequence-sequence overlap}
Note that recursion can be used to refine the sequence-sequence correction
to any desired accuracy. Similarly, the $I_1$ integral requires
\begin{eqnarray}
\frac{\sum_{sr}\overline{\sigma}\sigma_{xsr}}
{\left[\,\overline{\sigma}+\sum_{sr}\sigma_{tsr}\,\right]^2}
&=&\sum_{sr}
\frac{\overline{\sigma}\sigma_{xsr}}
{[\,\overline{\sigma}+\sigma_{tsr}\,]^2} \Bigl[ \,1 \nonumber\\
&-&\sum_{r'{\neq}r}\frac{\sigma_{tsr'}}
{\overline{\sigma}+\sum\sigma_{tsr}}
-\sum_{s'\neq s}\sum_{r'}\frac{\sigma_{ts'r'}}
{\overline{\sigma}+\sum\sigma_{tsr}} \Bigr]^2\,\,.
\end{eqnarray}
\noindent
Once more, we expand the fraction and neglect terms that will result
in products of three or more different resonances in the
same sequence. The result is
\begin{eqnarray}
\frac{\sum_{sr}\overline{\sigma}\sigma_{xsr}}
{\left[\,\overline{\sigma}+\sum_{sr}\sigma_{tsr}\,\right]^2}
&=&\sum_{sr}
\frac{\overline{\sigma}\sigma_{xsr}}
{\left[\,\overline{\sigma}+\sigma_{tsr}\,\right]^2} \nonumber\\
&\times&\Bigl\{1-2\sum_{r'{\neq}r}\frac{\sigma_{tsr'}}
{\overline{\sigma}+\sigma_{tsr}+\sigma_{tsr'}}
+\sum_{r'{\neq}r}\left(\frac{\sigma_{tsr'}}
{\overline{\sigma}+\sigma_{tsr}+\sigma_{tsr'}}\right)^2\Bigr\}
\nonumber\\
&\times& \Bigl[\,1-\sum_{s'\neq s}\sum_{r'}\frac{\sigma_{ts'r'}}
{\overline{\sigma}+\sum\sigma_{tsr}}\Bigr]\,\,,
\end{eqnarray}
\noindent
where in-sequence and sequence-sequence overlap
terms have been factored out.
The next step is to substitute these results back into the fluctuation
integrals $I_0$ and $I_1$. The integrals over energy and the sums over
different resonances in each sequence can be handled as described
above for isolated resonances. This procedure will result in three
different kinds of integrals. The first kind includes the isolated
resonance integrals already considered above
\begin{eqnarray}
B_{xs} &=& \frac{1}{E_2-E_1}\int_{E_1}^{E_2}\sum_r
\frac{\sigma_{xsr}}{\overline{\sigma}+\sigma_{tsr}}\,dE \nonumber\\
&=&\frac{1}{D_s}\int P(\alpha)\int_{-\infty}^\infty
\frac{\sigma_{xs\alpha}(\xi)}{\overline{\sigma}+\sigma_{ts\alpha(\xi)}}
\,d\xi\,d\alpha\,\,,
\end{eqnarray}
\noindent
and
\begin{eqnarray}
D_{ts}&=&\frac{1}{E_2-E_1}\int_{E_1}^{E_2}\sum_r
\frac{\overline{\sigma}\sigma_{tsr}}
{[\,\overline{\sigma}+\sigma_{tsr}\,]^2}\,dE \nonumber\\
&=&\frac{1}{D_s}\int P(\alpha)\int_{-\infty}^\infty
\frac{\overline{\sigma}\sigma_{xs\alpha}(\xi)}
{[\,\overline{\sigma}+\sigma_{ts\alpha}(\xi)\,]^2}
\,d\xi\,d\alpha\,\,.
\end{eqnarray}
\noindent
Note that $D_t\le B_t$, the difference increasing as $\sigma_0$
decreases from infinity.
The next kind are the in-sequence overlap integrals. The sum over $r'$ is
replaced by integrals over the probabilities of finding each partial width
and the probability of finding a resonance $r'$ at a distance $\eta$ from
resonance $r$.
\begin{eqnarray}
V_{0xs} &=& \frac{1}{E_2-E_1}\int_{E_1}^{E_2}
\sum_r\sum_{r'\neq r} \frac{\sigma_{xsr}}{\overline{\sigma}
+\sigma_{tsr}}\frac{\sigma_{tsr'}}{\overline{\sigma}
+\sigma_{tsr}+\sigma_{tsr'}}\,dE \nonumber\\
&=& \frac{1}{D_s^2}\int P(\alpha)\int P(\beta)
\int\int \Omega(\eta)\,\frac{\sigma_{xs\alpha}(\xi)}
{\overline{\sigma}+\sigma_{ts\alpha}(\xi)} \nonumber\\
& &\;\;\;\frac{\sigma_{ts\beta}(\xi-\eta)}
{\overline{\sigma}+\sigma_{ts\alpha}(\xi)+\sigma_{ts\beta}(\xi-\eta)}
\,d\eta\,d\xi\,d\beta\,d\alpha\,\,,
\end{eqnarray}
\noindent
where $\xi=E-E_{sr}$ and $\eta=E_{sr'}-E_{sr}$. Similarly,
\begin{eqnarray}
V_{1ts} &=& \frac{1}{E_2-E_1}\int_{E_1}^{E_2}\sum_r\sum_{r'\neq r}
\frac{\overline{\sigma}\sigma_{tsr}}{[\,\overline{\sigma}
+\sigma_{tsr}\,]^2}\Bigl\{2\frac{\sigma_{tsr'}}
{\overline{\sigma}+\sigma_{tsr}+\sigma_{tsr'}} \nonumber\\
& &\;\;\;-\Bigl(\frac{\sigma_{tsr'}}{\overline{\sigma}
+\sigma_{tsr}+\sigma_{tsr'}}\Bigr)^2\Bigr\}\,dE \nonumber\\
&=& \frac{1}{D_s^2}\int P(\alpha)\int P(\beta)\int\int
\Omega(\eta)\,\frac{\overline{\sigma}\sigma_{ts\alpha}(\xi)}
{[\,\overline{\sigma}+\sigma_{ts\alpha}(\xi)\,]^2} \nonumber\\
& &\;\;\;\Bigl\{2\frac{\sigma_{ts\beta}(\xi-\eta)}
{\overline{\sigma}+\sigma_{ts\alpha}(\xi)
+\sigma_{ts\beta}(\xi-\eta)} \nonumber\\
& &\;\;\;-\Bigl[\frac{\sigma_{ts\beta}(\xi-\eta)}
{\overline{\sigma}+\sigma_{ts\alpha}(\xi)+\sigma_{ts\beta}(\xi-\eta)}
\Bigr]^2 \Bigr\}\,d\eta\,d\xi\,d\beta\,d\alpha \,\,.
\end{eqnarray}
The final class of integrals includes the sequence-sequence overlap
corrections. They are simplified by noting that the positions of
resonances in different spin sequences are uncorrelated. Therefore,
$\Omega(\eta){=}1$, and the integral of the product reduces to the
product of the integrals.
Using the results and definitions from above, the fluctuation integrals become
\begin{equation}
I_{0x} = \sum_s A_{xs}\,\,,
\label{Izero}
\end{equation}
\begin{equation}
A_{xs} = (B_{xs}-V_{0xs})\Bigl[\,1-\sum_{s'\neq s}
A_{ts'}\,\Bigr]\,\,,
\label{recursA}
\end{equation}
\noindent
and
\begin{equation}
I_{1t} = \sum_s(D_{ts}-V_{1ts})\Bigl[\,1-\sum_{s'\neq s}
A_{ts'}\Bigr]^2\,\,,
\label{Ione}
\end{equation}
\noindent
where Eq.~\ref{recursA} provides a recursive definition of the $A_{ts}$ for
the sequence-sequence corrections as well as the normal value of
$A_{xs}$.
These equations are formally exact for the sequence-sequence overlaps,
but in-sequence overlaps only include the interactions between
pairs of resonances. Three different approximations to this
result are currently in use.
\paragraph{The MC2/ETOX Approximation}
The MC2\index{MC2} and ETOX\index{ETOX} codes use similar
approximations to the results above, except that MC2 does not
include a calculation of the current-weighted total cross section.
Both codes explicitly neglect the in-sequence overlap corrections.
This approximation was based on the assumption that resonance
repulsion would reduce the overlap between resonances in a
particular spin sequence, leaving the accidental close spacing
of resonances in different sequences as the dominant overlap
effect. In addition, both codes stop the recursion of
Eq.~\ref{recursA} at $A_t=B_t$. Thus,
\begin{equation}
I_{0x} = \sum_s B_{xs} \Bigl(\,1-\sum_{s'\neq s} B_{ts'}\Bigr)\,\,,
\end{equation}
\noindent
and
\begin{equation}
I_{1t} = \sum_s D_{ts}\Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)^2\,\,.
\label{I1t}
\end{equation}
\noindent
The equations for the effective cross sections in the MC2/ETOX
approximation become
\begin{equation}
\overline{\sigma}_{0x} = b_x + \frac{\displaystyle\overline{\sigma}
\sum_s B_{xs} \Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)}
{\displaystyle 1-\sum_s B_{ts} \Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)}\,\,,
\label{sb0x}
\end{equation}
\noindent
and
\begin{equation}
\overline{\sigma}_{1t} = b_t + \frac{\displaystyle\overline{\sigma}
\sum_s D_{ts} \Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)^2}
{\displaystyle 1-\sum_s B_{ts} \Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)
-\sum_s D_{ts}\bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)^2}\,\,,
\end{equation}
\noindent
or
\begin{equation}
\overline{\sigma}_{1t} = \overline{\sigma}\left[
\frac{\displaystyle 1-\sum_s B_{ts} \Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)}
{\displaystyle 1-\sum_s B_{ts} \Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)
-\sum_s D_{ts}\Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)^2}
\right]-\sigma_0 \,\,.
\label{sb1t}
\end{equation}
\noindent
These are the equations that are used in the UNRESR module of NJOY.
Note that the equation in the ETOX code and report corresponding
to Eq.~\ref{sb1t} is incorrect. The following equation was
used in the ETOX code:
\begin{equation}
\overline{\sigma}_{1t} = \overline{\sigma}\left[
\frac{\displaystyle 1-\sum_s B_{ts} \Bigl(\,1-\sum_{s'\neq s}B_{ts'}\Bigr)}
{\displaystyle 1-\sum_s C_{ts} \Bigl(\,1-\sum_{s'\neq s}C_{ts'}\Bigr)}
\right]-\sigma_0 \,\,,
\end{equation}
\noindent
with $C_{ts}=B_{ts}+D_{ts}$.
\paragraph{The MC2-2 Approximation}
The MC2-2 code\index{MC2-2} includes the in-sequence overlap
corrections, which the authors found to be more important than previously
thought. It uses additional approximations to obtain the equivalent of
\begin{equation}
\overline{\sigma}_{0x} = b_x + \overline{\sigma}
\sum_s \frac{B_{xs}-V_{0xs}}{1-B_{ts}+V_{0ts}}\,\,.
\end{equation}
\noindent
The additional approximations used are
\begin{enumerate}
\item Set $A_{ts}=B_{ts}-V_{0ts}$ (first-order sequence-sequence
overlap),
\item Neglect the factor $(1-\sum_{s'\neq s}A_{ts'})$ in the denominator, and
\item Use the approximation $1-\sum_if_i\approx\prod_i(1-f_i)$
on the numerator and denominator.
\end{enumerate}
These simplifications result in a loss of accuracy for the
sequence-sequence overlap correction at relatively low values of
$\sigma_0$. The $\overline{\sigma}_{1t}$ term is not calculated.
\paragraph{The UXSR Approximation}
The experimental UXSR\index{UXSR} module was developed at Oak Ridge
\index{Oak Ridge National Laboratory!ORNL} (with some contributions from
LANL\index{Los Alamos National Laboratory!LANL})
based on coding from the Argonne National Laboratory (ANL)\index{Argonne
National Laboratory!ANL}
in an attempt to include the sophisticated in-sequence overlap corrections
from MC2-2 without approximating the sequence-sequence corrections
so badly. It also implemented a calculation of the current-weighted
total cross section, which was omitted in MC2-2. The additional
cost of using the full expressions for Eqs.~\ref{Izero} and \ref{Ione}
is minimal, and effective cross sections can be computed for
lower values of $\sigma_0$ when in-sequence overlap is
small ({\it e.g.,} $^{238}$U).
Now that expressions have been chosen for computing the cross
sections in terms of the isolated-resonance integrals, it is
necessary to select an efficient numerical method for computing
them. The resonant parts of the cross sections are given by
\begin{equation}
\sigma_{xsr}(E{-}E_{sr}) = \left[ \sigma_m\frac{\Gamma_x}{\Gamma}
\psi(\theta,X) \right]_{sr}\,\,,
\end{equation}
\noindent
and
\begin{equation}
\sigma_{tsr}(E{-}E_{sr})=\left[\, \sigma_m\{\cos 2\phi_\ell
\,\psi(\theta,X) + \sin 2\phi_\ell\,\chi(\theta,X)\}\,\right]_{sr}\,\,,
\end{equation}
\noindent
where $x$ takes on the values $\gamma$, $f$, or $c$ for capture,
fission, or competition, and
\begin{equation}
\sigma_m=\frac{4\pi g_J}{k^2}\frac{\Gamma_n}{\Gamma}\,\,,
\end{equation}
\begin{equation}
\theta=\sqrt{\frac{A}{4kTE_0}}\,\Gamma\,\,,
\end{equation}
\begin{equation}
X=\frac{2(E-E_0)}{\Gamma}\,\,,
\end{equation}
\begin{equation}
g_J=\frac{2J+1}{2(2I+1)}\,\,,\;\hbox{and}
\end{equation}
\begin{equation}
k = 2.196771\times 10^{-3}\frac{A}{1+A}\sqrt{E}\,\,.
\end{equation}
\noindent
The functions $\psi$ and $\chi$ are the symmetric and antisymmetric
components of the broadened resonance line shape:
\index{$\psi\chi$ broadening}
\begin{equation}
\psi(\theta,X) = \frac{\theta\sqrt{\pi}}{2}
{\rm Re}W\left(\frac{\theta X}{2},\frac{\theta}{2}\right)\,\,,
\end{equation}
\noindent
and
\begin{equation}
\chi(\theta,X) = \theta\sqrt{\pi} {\rm Im}W\left(
\frac{\theta X}{2},\frac{\theta}{2}\right)\,\,,
\end{equation}
\noindent
where
\begin{equation}
W(x,y) = {\rm exp}[-(x+iy)^2]\,{\rm erfc}[-i(x+iy)]
\end{equation}
\noindent
is the complex probability integral. The methods for computing
$\psi$ and $\chi$ are well known (see \cword{quikw}).
The first integral needed is
\begin{eqnarray}
B_{xs} &=& \frac{1}{D_s}\int P(\alpha)\int
\frac{\sigma_{xs\alpha}(\xi)}
{\overline{\sigma}+\sigma_{ts\alpha}(\xi)}
\,d\xi\,d\alpha \nonumber\\
&=& \frac{1}{D_s}\int P(\alpha)\int
\frac{\sigma_m (\Gamma_x/\Gamma)\psi(\theta,X)}
{\overline{\sigma}+\sigma_m\{\cos 2\phi_\ell\, \psi(\theta,X)
+\sin 2\phi_\ell\,\chi(\theta,X)\}}
\,d\xi\,d\alpha \nonumber\\
&=& \frac{1}{D_s}\int P(\alpha) \frac{\Gamma_x}{2\cos 2\phi_\ell}
\int \frac{\psi(\theta,X)}
{\beta+\psi(\theta,X)+\tan 2\phi_\ell\,\chi(\theta,X)}
\,dX\,d\alpha\,\,,
\end{eqnarray}
\noindent
where
\begin{equation}
\beta=\frac{\overline{\sigma}}{\sigma_m\cos 2\phi_\ell}\,\,.
\end{equation}
The second integral needed is
\begin{eqnarray}
B_{ts} &=& \frac{1}{D_s}\int P(\alpha)
\int\frac{\sigma_{ts\alpha}(\xi)}
{\overline{\sigma}+\sigma_{ts\alpha}\xi)}
\,d\xi\,d\alpha \nonumber\\
&=& \frac{1}{D_s}\int P(\alpha)\,\frac{\Gamma}{2}\int
\frac{\psi(\theta,X)+\tan 2\phi_\ell\,\chi(\theta,X)}
{\beta+\psi(\theta,X)+\tan 2\phi_\ell\,\chi(\theta,X)}
\,dX\,d\alpha\,\,.
\end{eqnarray}
Both of these integrals can be expressed in terms of the basic
$J$ integral:
\begin{eqnarray}
B_{xs} &=& \frac{1}{D_s}\int P(\alpha)\frac{\Gamma}
{\cos 2\phi_\ell}\,J(\beta,\theta,\tan2\phi_\ell,0)\,d\alpha
\,\,,\;\hbox{and} \nonumber\\
B_{ts} &=& \frac{1}{D_s}\int P(\alpha)\,\Gamma\,
J(\beta,\theta,\tan 2\phi_\ell,\tan 2\phi_\ell)\,d\alpha\,\,,
\end{eqnarray}
\noindent
where
\begin{equation}
J(\beta,\theta,a,b)=\frac{1}{2}\int_{-\infty}^\infty
\frac{\psi(\theta,X)+b\,\chi(\theta,X)}
{\beta+\psi(\theta,X)+a\,\chi(\theta,X)}\,dX\,\,.
\end{equation}
\noindent
The $D$ integral can be handled in the same way, but only total
reaction is required.
\begin{eqnarray}
D_{ts} &=& \frac{1}{D_s}\int P(\alpha)\int
\frac{\overline{\sigma}\sigma_{ts\alpha}(\xi)}
{[\,\overline{\sigma}+\sigma_{ts\alpha}(\xi)\,]^2}
\,d\xi\,d\alpha \nonumber\\
&=& \frac{1}{D_s}\int P(\alpha)\,\frac{\Gamma}{2}\int
\frac{\beta\psi(\theta,X)+\tan 2\phi_\ell\,\chi(\theta,X)}
{[\,\beta+\psi(\theta,X)+\tan 2\phi_\ell\,\chi(\theta,X)\,]^2}
\,dX\,d\alpha \nonumber\\
&=& \frac{1}{D_s}\int P(\alpha)\,\Gamma\, K(\beta,\theta,\tan 2\phi_\ell,
\tan 2\phi_\ell)\,d\alpha\,\,,
\end{eqnarray}
\noindent
where
\begin{equation}
K(\beta,\theta,a,b)=\frac{1}{2}\int_{-\infty}^\infty
\frac{\beta\,[\,\psi(\theta,X)+b\,\chi(\theta,X)\,]}
{[\,\beta+\psi(\theta,X)+a\,\chi(\theta,X)\,]^2}\,dX\,\,.
\end{equation}
A method for computing $J$, including the interference effects, has
been developed by Hwang for MC2-2\cite{MC22}. However,
this method was not available in the days when MC2 and ETOX
were developed. Therefore, UNRESR uses only
$J(\beta,\theta,0,0)$ and $K(\beta,\theta,0,0)$
in computing the isolated-resonance fluctuation integrals.
A direct integration is used over most of the $X$ range, but
the part of the integral arising from large $X$ is handled
using analytic integrations of the asymptotic forms of
the arguments (see \cword{ajku}\index{ajku@{\ty ajku}}).
The final step is to do the n-fold integration over the probability
distributions for the resonance widths. This integration has
been abbreviated as a single integration over $\alpha$ in the
above equations. The method used was originally developed for
MC2-2 and is based on Gauss-Jacobi quadratures.
\index{Gauss-Jacobi quadrature} A set of 10
quadrature points and weights is provided for each of the
$\chi^2$ probability distributions with 1 through 4 degrees of
freedom. These quadratures convert the n-fold integral into an
n-fold summation. The value of $n$ can be as large as 4 when
$\Gamma_n$, $\Gamma_f$, $\Gamma_\gamma$, and $\Gamma_c$
(competitive width) are all present.
Although UNRESR neglects the effects of overlap between resonances in
the same spin sequence and the effects of interference in the elastic
and total cross sections, it still gives reasonable results for the
background cross section values needed for most practical problems.
Modern evaluations are steadily reducing the need for accurate
unresolved calculations by extending the resolved resonance range to
higher and higher energies. Ultimately, UNRESR should be upgraded to
use the UXSR\index{UXSR} approach. Another alternative is to generate
self-shielded effective cross sections from ladders of resonances
chosen statistically (see \hyperlink{sPURRhy}{PURR}\index{PURR}). This
avoids many of the approximtions in the overlap corrections.
In NJOY2016, running the \hyperlink{sPURRhy}{PURR} module
after UNRESR overwrites the UNRESR output with the
\hyperlink{sPURRhy}{PURR} results. In fact, UNRESR can be
omitted from the processing stream. To use UNRESR results,
either omit \hyperlink{sPURRhy}{PURR} from the processing
stream or run it before running UNRESR.
\subsection{Implementation}
\label{ssUNRESR_implementation}
In implementing this theory in UNRESR, there are special considerations
involving the choice of an incident energy grid, what to do if the
unresolved range overlaps the resolved range or the range of smooth
cross sections, the choice of the $\sigma_0$ grid, how to interpolate
on $\sigma_0$, and how to communicate the results to other modules.
\paragraph{Choice of Energy Grid.}\index{unresolved energy grid}
The same logic is used to choose the incident energy grid in UNRESR
and \hyperlink{sRECONRhy}{RECONR}. It is complicated, because
of the several different
representations available for unresolved data, and because of the
existence of evaluations that have been carried over from previous
versions of ENDF/B or ENDF/B-VII evaluations with inadequate
energy grids. Even many modern evaluations have inadequate energy
grids.
For evaluations that give energy-independent unresolved-resonance
parameters, there is still an energy dependence to the cross sections.
Because this dependence is normally somewhere between constant and
a $1/v$ law, a fairly coarse grid with about 13 points per decade
should be sufficient to allow the cross sections to be computed
reliably using linear-linear interpolation.
If the evaluation uses energy-dependent parameters, the normal rule
would be to use the energies that were provided by the evaluator
and to obtain intermediate cross sections by interpolation. Unfortunately,
some of the evaluations carried over from earlier days contain some
energy intervals that are quite large (for example, steps by factors
of 10). The evaluators for these isotopes assumed that the user
would use parameter interpolation and compute the cross sections
at a number of intermediate energies in these long steps. Even
some newer evaluations contain large jumps in the energy grid. UNRESR
will detect such evaluations and add additional energy points in the
large energy steps using an algorithm similar to the one used for
the cases with energy-independent parameters. For NJOY2016,
large jumps in the energy grid are any with step ratios greater
than \cword{wide}\index{wide@{\ty wide}}, which is currently set
to 1.26.
The final energy grid can be observed by scanning the printed
output from UNRESR.
\paragraph{Resolved-Unresolved Overlap.}\index{resolved-unresolved overlap}
Elemental evaluations include separate energy ranges in MF2/MT151
for each of the isotopes of the element, and these energy ranges
do not have to be the same for each isotope. This means that the
lower end of an unresolved range may overlap the resolved
range from another isotope, and the upper end of the unresolved
range for an isotope can overlap the smooth range of another isotope.
These overlap regions are detected by UNRESR as the resonance data
are read in, and they are marked by making the sign of the incident
energy value negative.
\paragraph{Choosing a $\sigma_0$ Grid.}\index{$\sigma_0$!$\sigma_0$
interpolation}
There are two factors to consider, namely, choosing values that
will represent the shape adequately, and limiting the range of
$\sigma_0$ to the region where the theory is valid. The
$\sigma_x(\sigma_0)$ curves start out decreasing from the
infinite dilution value as $1/\sigma_0$ as $\sigma_0$ decreases
from infinity ($1\times 10^{10}$ in the code). The curve eventually
goes through an inflection point at some characteristic value
of $\sigma_0$, becomes concave upward, and approaches a limiting
value at small $\sigma_0$ that is smaller than the
infinite-dilution value. Decade steps are often used, but the
user should try to select values that include the inflection point
and not waste values on the $1/\sigma_0$ region. Half-decade
values are useful near the inflection point ({\it e.g.,} 100,
300, 1000 for $^{235}$U). The grid interval chosen should be
consistent with the interpolation method used (see below).
Choosing the lower limit for $\sigma_0$\index{unresolved $\sigma_0$ range}
is a more difficult problem. As shown in the theory section
(\ref{ssUNRESR_theory}),
resonance overlap effects are developed as a series in $1/\sigma_0$,
and the series is truncated after only one step of recursion
in Eq.~\ref{recursA}. This means that the overlap correction
should be most accurate for large $\sigma_0$ and gradually get worse
as $\sigma_0$ decreases. Experience shows that the correction can
actually get large enough to produce negative cross sections for
small $\sigma_0$. (This problem can also show up as a failure in
interpolation when a log scheme has been selected.) For isotopes that
have relatively narrow resonances spaced relatively widely, such as
$^{238}$U, UNRESR gives reasonable results to $\sigma_0$ values
as low as 0.1. For materials with stronger overlap, such as
$^{235}$U, a lower limit around 100 is more reasonable. A few
of the heavy actinide evaluations have been seen to break
down for $\sigma_0$ values lower than 1000. This problem is not
too serious in practice. The fertile materials, which appear
in large concentrations in reactors, allow the necessary small
values of $\sigma_0$. The fissile materials have to be more
dilute, and the larger $\sigma_0$ limit needed for them is not
usually a problem.
The UXSR\index{UXSR} approximation discussed above allows one to reach
somewhat smaller $\sigma_0$ values.
\paragraph{Interpolating on $\sigma_0$.}\index{$\sigma_0$!$\sigma_0$
interpolation}
It turns out that these functions are difficult to interpolate because
they have a limited radius of convergence. Although approximate
schemes have been developed based on using functions of similar
shape such as the tanh function\cite{Kidman}\index{Kidman}, better
results can be obtained by using different interpolation schemes for the
low- and high-$\sigma_0$ ranges. The TRANSX-CTR
code\cite{TRANSX}\index{TRANSX-CTR} used interpolation in
$1/\sigma_0$ for high $\sigma_0$, Lagrangian interpolation of
ln$\sigma_x$ {\it vs} ln$\sigma_0$, for intermediate values, and
a $\sigma_0^2$ extrapolation for very low $\sigma_0$. Unfortunately,
schemes like this sometimes give ridiculous interpolation excursions
when the polynomials are not suitable. Therefore,
TRANSX-2\cite{TRANSX2}\index{TRANSX-2} has had to revert to using
simple linear interpolation, which is always bounded and
predictable, but which requires relatively fine $\sigma_0$ grids.
\paragraph{Communicating Results to Other Modules.} NJOY tries
to use ENDF-like files for all communications between the different
calculational modules. Because the unresolved effective cross
sections were originally derived from the resonance parameters in
File 2, it seemed reasonable to create a new section in File 2
to carry the unresolved cross sections onto other modules, and
a special MT number of 152\index{MT!MT152} was selected for this purpose.
\hyperlink{sRECONRhy}{RECONR}\index{RECONR} creates
an MT152 that contains only the
infinitely-dilute unresolved cross sections. UNRESR overwrites it
with self-shielded unresolved cross
sections. \hyperlink{sGROUPRhy}{GROUPR}\index{GROUPR}