Numbering Sections, consolidating

776347ef · Batson Iii · 4c64603e · 776347ef · 776347ef · 776347ef
Commit 776347ef authored Jan 25, 2021 by Batson Iii
20 changed files
--- a/.DS_Store
+++ b/.DS_Store
--- a/docs/COVLIBAppA.rst
+++ b/docs/COVLIBAppA.rst
 .. _10-2a:

 COVLIB Appendix A: Cross section plots for U, Pu, TH, B, H, He, and Gd Nuclides
-===============================================================================
+-------------------------------------------------------------------------------

 Plots of cross section differences between various evaluations are shown
 below. The legend below applies to all plots shown in this appendix.

--- a/docs/CSAS5.rst
+++ b/docs/CSAS5.rst
--- a/docs/CSAS5App.rst
+++ b/docs/CSAS5App.rst
 .. _CSAS5App:

-Additional Example Applications of CSAS5
-========================================
+APPENDIX A: Additional Example Applications of CSAS5
+----------------------------------------------------

 Several example uses of CSAS5 are shown in this section for a variety of
 applications. Note that many of these examples have been provided since
@@ -228,11 +228,11 @@ Where
   C\ :sub:`max` is the maximum constraint for the search

   | D\ :sub:`min` is the minimum allowed dimension for the search [For
-     a chord, D\ :sub:`min` = (Radius:sub:`min` +
+     a chord, D\ :sub:`min` = (Radius\ :sub:`min` +
   | Chord\ :sub:`min` )/ 2 Radius ] min

   | D\ :sub:`max` is the maximum allowed dimension for the search [For
-     a chord, D\ :sub:`max` = (Radius:sub:`max` +
+     a chord, D\ :sub:`max` = (Radius\ :sub:`max` +
   | Chord\ :sub:`max` )/ 2 Radius\ :sub:`max`]

   D\ :sub:`i` is the initial dimension [For a chord, D\ :sub:`i` =

--- a/docs/CSAS6App.rst
+++ b/docs/CSAS6App.rst
 .. _CSAS6App:

 Additional Example Applications of CSAS6
-========================================
+----------------------------------------

 Several example uses of CSAS6 are shown in this section for a variety of applications.


--- a/docs/Criticality Safety Overview.rst
+++ b/docs/Criticality Safety Overview.rst
-Criticality Safety Overview
-===========================
+.. _2-0:
+
+******************
+Criticality Safety
+******************

 **Introduction by B. T. Rearden**

@@ -139,3 +142,21 @@ detector response at one location or to calculate multiple
 responses/locations with roughly the same relative uncertainty.

 .. bibliography:: bibs/CriticalitySafety.bib
+
+.. include:: CSAS5.rst
+
+.. include:: CSAS5App.rst
+
+.. include:: CSAS6.rst
+
+.. include:: CSAS6App.rst
+
+.. include:: STARBUCS.rst
+
+.. include:: Sourcerer.rst
+
+.. include:: DEVC.rst
+
+.. include:: KMART.rst
+
+.. include:: K5toK6.rst
--- a/docs/DEVC.rst
+++ b/docs/DEVC.rst
-.. _DEVC:
+.. _2-4A:

 DEVC: Denovo EigenValue Calculation
-===================================
+-----------------------------------

 *Douglas E. Peplow and Cihangir Celik*


--- a/docs/Depletion, Activation, and Spent Fuel Source Terms Overview.rst
+++ b/docs/Depletion, Activation, and Spent Fuel Source Terms Overview.rst
 .. _5-0:

-Depletion, Activation, and Spent Fuel Source Terms Overview
-===========================================================
+**************************************************
+Depletion, Activation, and Spent Fuel Source Terms
+**************************************************

 *Introduction by W. A. Wieselquist*

@@ -104,3 +105,13 @@ interface to characterize the fuel inventory for an entire reactor site and
 generate data needed for severe accident analysis. ORIGAMI Automator is not
 documented in this chapter, but a primer is available with step by step
 instructions on its use.
+
+.. include:: ORIGEN.rst
+
+.. include:: ORIGEN-Data.rst
+
+.. include:: ORIGAMI.rst
+
+.. include:: SLIG.rst
+
+.. include:: Origenutil.rst
--- a/docs/Deterministic Transport Intro.rst
+++ b/docs/Deterministic Transport Intro.rst
+.. _9-0:
+
+********************************
 Deterministic Transport Overview
-================================
+********************************

 *Introduction by S. M. Bowman*

@@ -16,8 +19,8 @@ CSAS and Sourcerer for criticality safety, TRITON for 1D and 2D
 depletion, TSUNAMI‑1D and TSUNAMI-2D for sensitivity and uncertainty
 analysis, and MAVRIC for 3D fixed source hybrid Monte Carlo analysis.

-XSDRN
-----
+.. centered:: XSDRN
+

 XSDRN is a multigroup discrete-ordinates code that solves the 1D
 Boltzmann equation in slab, cylindrical, or spherical coordinates.
@@ -28,8 +31,8 @@ XSDRN is used for several purposes: eigenvalue (*k*\ :sub:`eff`) determination;
 cross section collapsing; and computation of fundamental-mode or
 generalized adjoint functions for sensitivity analysis.

-NEWT
----
+.. centered:: NEWT
+

 NEWT (New ESC-based Weighting Transport code) is a multigroup
 discrete-ordinates radiation transport computer code with flexible
@@ -62,8 +65,8 @@ used to compute the adjoint flux solution to generate sensitivity
 coefficients for *k\ eff* and other responses of interest with respect
 to the cross sections used in the NEWT model.

-DENOVO
------
+.. centered:: DENOVO
+

 Denovo [1]_ is a parallel 3D discrete-ordinates code available in SCALE
 as part of two control module sequences for different applications, as
@@ -107,10 +110,18 @@ similar to a CSAS6 input file that contains an extra block of input for
 describing the Denovo mesh grid and calculational parameters. See the
 Sourcerer chapter for details.

-Reference
---------
+.. centered:: Reference
+

 .. [1]
   T. M. Evans, A. S. Stafford, R. N. Slaybaugh, and K. T. Clarno,
   “Denovo: A New Three-Dimensional Parallel Discrete Ordinates Code in
   SCALE,” *Nuclear Technology* **171**, 171–200 (2010).
+
+.. include:: XSD.rst
+
+.. include:: XSDAppAB.rst
+
+.. include:: NEWT.rst
+
+.. include:: DENOVO.rst
--- a/docs/K5toK6.rst
+++ b/docs/K5toK6.rst
+.. _2-6:
+
+K5toK6 and C5toC6: Input File Conversion Programs for KENO and CSAS
+===================================================================
+
+Introduction
+------------
+
+Program K5TOK6 can be used to automatically convert a KENO V.a input
+file to a KENO-VI input file. Program C5TOC6 can be used to
+automatically convert a CSAS5 input file to a CSAS6 input file. This
+functionality can be useful when converting a KENO V.a validation
+sequence to a KENO-VI validation sequence. It removes the problem of
+introducing a mistake or inadvertently changing the data when remodeling
+a geometry to the KENO-VI format. For some cases, however, the converted
+model may be a very inefficient KENO-VI model.
+
+Description and Input Guide
+---------------------------
+
+Program K5TOK6 is a utility program that can be used to automatically
+convert a KENO V.a input file to a KENO-VI input file. Program C5TOC6 is
+a utility program that can be used to automatically convert a CSAS5
+input file to a CSAS6 input file. For program K5TOK6, the “=KENOVA”
+record in the input stream is replaced by “=K5TOK6”. The output file is
+then named \_geom\ *nnnnnnn* where *nnnnnnn* is a unique 7-digit number.
+This allows a string of KENO V.a problems to be converted in one job.
+For program C5TOC6 the “=CSAS\ *BB*\ ” record in the input stream (where
+the *BB* is 5, 25, or 2x) is replaced by “=C5TOC6 PARM=CSAS5.” The
+output file is named \_geom\ *nnnnnnn* where *nnnnnnn* is a unique
+7‑digit number.
+
+For large problems, the output file may need to be edited to specify an
+increased value for parameter *NB8* in KENO-VI and also an increased
+value for parameter *DAB* in CSAS6. **The conversion makes no attempt to
+optimize the output file, so it almost surely will be inefficient in its
+use of storage, and in its use of bodies. This can lead to models that
+are very inefficient in their running time also.**
+
+The input/output (I/O) units for K6TOK6 and C5TOC6 are given below. Note
+that K5TOK6 requires the cross-section library designated by the “LIB=”
+parameter in the KENO V.a input file.
+
+-------------+---------------------------------------------+
+| Unit Number | Function                                    |
+-------------+---------------------------------------------+
+| 5           | KENO V.a (or CSAS5) input file              |
+|             |                                             |
+| 6           | Output                                      |
+|             |                                             |
+| 7           | Input file generated for KENO-VI (or CSAS6) |
+-------------+---------------------------------------------+
+
+Sample K5TOK6 input file is shown in :numref:`list2-6-1` and the
+corresponding converted KENO-VI input file is shown in :numref:`list2-6-2`.
+Likewise, a C5TOC6 sample input file and corresponding converted CSAS6
+input file are shown in :numref:`list2-6-3` and :numref:`list2-6-4`, respectively.
+
+.. code-block:: scale
+  :name: list2-6-1
+  :caption: Sample K5TOK6 problem.
+
+  =k5tok6
+  93.2% uo2f2 h/u-235=337
+  read param    npg=600 fdn=yes nub=yes  lib=4  end param
+  read geom
+  cuboid      1 1 2p3.81 2p60.325 25.50 0
+  reflector   2 1 4r.318 0 .318 1
+  cuboid      0 1 2p4.128 2p65. 150. -1.
+  core 0  1 -12.384 -65. -29.
+  cylinder  0 1 142.8 212. -60.
+  cylinder  3 1 144.8 212. -62.
+  cuboid    0 1 275.5 -638.9 475. -744.2 588. -62.
+  reflector 4 1 5r0 .32 1
+  reflector 5 1 5r0 1.27 1
+  reflector 3 1 5r0 .64 1
+  reflector 0 1 5r0 365 1
+  reflector 6 2 6r5 6
+  reflector 6 8 0 5 4r0 6
+  end geom
+  read bias id=301 2 13 end bias
+  read array nux=3 nuy=1 nuz=1 end array
+  end data
+  end
+
+.. code-block:: scale
+  :name: list2-6-2
+  :caption: Sample converted KENO-VI input file.
+
+  =kenovi
+  93.2% uo2f2 h/u-235=337
+  read param    npg=600 fdn=yes nub=yes  lib=4  end param
+  read geometry
+  unit          1
+  cuboid     1
+                3.810000E+00 -3.810000E+00  6.032500E+01
+               -6.032500E+01  2.550000E+01  0.000000E+00
+  media     1    1       1
+                      vol=  7.033051E+04
+  cuboid     2
+                4.128000E+00 -4.128000E+00  6.064300E+01
+               -6.064300E+01  2.550000E+01 -3.180000E-01
+  media     2    1       2  -1
+                      vol=  7.227070E+03
+  cuboid     3
+                4.128000E+00 -4.128000E+00  6.500000E+01
+               -6.500000E+01  1.500000E+02 -1.000000E+00
+  media     0    1       3  -2  -1
+                      vol=  4.086382E+05
+  boundary     3
+  global
+  unit          2
+  cuboid     1
+                1.238400E+01 -1.238400E+01  6.500000E+01
+               -6.500000E+01  1.220000E+02 -2.900000E+01
+  array     1       1
+                 place 1 1 1   -1.23840E+01  -6.50000E+01  -2.90000E+01
+  cylinder   2
+                1.428000E+02  2.120000E+02 -6.000000E+01
+              origin   x=  0.000000E+00   y=  0.000000E+00
+  media     0    1       2  -1
+                      vol=  1.693890E+07
+  cylinder   3
+                1.448000E+02  2.120000E+02 -6.200000E+01
+              origin   x=  0.000000E+00   y=  0.000000E+00
+  media     3    1       3  -2  -1
+                      vol=  6.232560E+05
+  cuboid     4
+                2.755000E+02 -6.389000E+02  4.750000E+02
+               -7.442000E+02  5.880000E+02 -6.200000E+01
+  media     0    1       4  -3  -2  -1
+                      vol=  7.065953E+08
+  cuboid     5
+                2.755000E+02 -6.389000E+02  4.750000E+02
+               -7.442000E+02  5.880000E+02 -6.232000E+01
+  media     4    1       5  -4  -3  -2  -1
+                      vol=  3.568000E+05
+  cuboid     6
+                2.755000E+02 -6.389000E+02  4.750000E+02
+               -7.442000E+02  5.880000E+02 -6.359000E+01
+  media     5    1       6  -5  -4  -3  -2  -1
+                      vol=  1.415808E+06
+  cuboid     7
+                2.755000E+02 -6.389000E+02  4.750000E+02
+               -7.442000E+02  5.880000E+02 -6.423000E+01
+  media     3    1       7  -6  -5  -4  -3  -2  -1
+                      vol=  7.134720E+05
+  cuboid     8
+                2.755000E+02 -6.389000E+02  4.750000E+02
+               -7.442000E+02  5.880000E+02 -4.292300E+02
+  media     0    1       8  -7  -6  -5  -4  -3  -2  -1
+                      vol=  4.069153E+08
+  cuboid     9
+                2.805000E+02 -6.439000E+02  4.800000E+02
+               -7.492000E+02  5.930000E+02 -4.342300E+02
+  media     6    2       9  -8  -7  -6  -5  -4  -3  -2  -1
+                      vol=  3.316813E+07
+  cuboid    10
+                2.855000E+02 -6.489000E+02  4.850000E+02
+               -7.542000E+02  5.980000E+02 -4.392300E+02
+  media     6    3      10  -9  -8  -7  -6  -5  -4  -3  -2  -1
+                      vol=  3.380429E+07
+  cuboid    11
+                2.905000E+02 -6.539000E+02  4.900000E+02
+               -7.592000E+02  6.030000E+02 -4.442300E+02
+  media     6    4      11 -10  -9  -8  -7  -6  -5  -4  -3  -2  -1
+                      vol=  3.444634E+07
+  cuboid    12
+                2.955000E+02 -6.589000E+02  4.950000E+02
+               -7.642000E+02  6.080000E+02 -4.492300E+02
+  media     6    5      12 -11 -10  -9  -8  -7  -6  -5  -4  -3  -2  -1
+                      vol=  3.509453E+07
+  cuboid    13              3.005000E+02 -6.639000E+02  5.000000E+02
+               -7.692000E+02  6.130000E+02 -4.542300E+02
+  media     6    6      13 -12 -11 -10  -9  -8  -7  -6  -5  -4  -3  -2  -1
+
+                      vol=  3.574874E+07
+  cuboid    14
+                3.055000E+02 -6.689000E+02  5.050000E+02
+               -7.742000E+02  6.180000E+02 -4.592300E+02
+  media     6    7      14 -13 -12 -11 -10  -9  -8  -7  -6  -5  -4  -3  -2
+                        -1
+                      vol=  3.640896E+07
+  cuboid    15
+                3.055000E+02 -6.739000E+02  5.050000E+02
+               -7.742000E+02  6.180000E+02 -4.592300E+02
+  media     6    8      15 -14 -13 -12 -11 -10  -9  -8  -7  -6  -5  -4  -3
+                        -2  -1
+                      vol=  6.889984E+06
+  cuboid    16
+                3.055000E+02 -6.789000E+02  5.050000E+02
+               -7.742000E+02  6.180000E+02 -4.592300E+02
+  media     6    9      16 -15 -14 -13 -12 -11 -10  -9  -8  -7  -6  -5  -4
+                        -3  -2  -1
+                      vol=  6.889856E+06
+  cuboid    17
+                3.055000E+02 -6.839000E+02  5.050000E+02
+               -7.742000E+02  6.180000E+02 -4.592300E+02
+  media     6   10      17 -16 -15 -14 -13 -12 -11 -10  -9  -8  -7  -6  -5
+                        -4  -3  -2  -1
+                      vol=  6.889984E+06
+  cuboid    18
+                3.055000E+02 -6.889000E+02  5.050000E+02
+               -7.742000E+02  6.180000E+02 -4.592300E+02
+  media     6   11      18 -17 -16 -15 -14 -13 -12 -11 -10  -9  -8  -7  -6
+                        -5  -4  -3  -2  -1
+                      vol=  6.889984E+06
+  cuboid    19
+                3.055000E+02 -6.939000E+02  5.050000E+02
+               -7.742000E+02  6.180000E+02 -4.592300E+02
+  media     6   12      19 -18 -17 -16 -15 -14 -13 -12 -11 -10  -9  -8  -7
+                        -6  -5  -4  -3  -2  -1
+                      vol=  6.889984E+06
+  cuboid    20
+                3.055000E+02 -6.989000E+02  5.050000E+02
+               -7.742000E+02  6.180000E+02 -4.592300E+02
+  media     6   13      20 -19 -18 -17 -16 -15 -14 -13 -12 -11 -10  -9  -8
+                        -7  -6  -5  -4  -3  -2  -1
+                      vol=  6.889984E+06
+  boundary    20
+  end geometry
+  read bias id=301 2 13 end bias
+  read array nux=3 nuy=1 nuz=1 end array
+  end data
+  end
+
+
+
+.. code-block:: scale
+  :name: list2-6-3
+  :caption: Sample C5TOC6 problem.
+
+  =c5toc6    parm=csas5
+  sample problem 1  case 2c8 bare
+  v7-238
+  read composition
+     uranium  1 den=18.76 1 293 92235 93.2 92238 5.6 92234 1.0 92236 0.2 end
+  end composition
+  read parameters
+     flx=yes fdn=yes far=yes htm=no
+  end parameters
+  read geometry
+     unit 1
+       cylinder 1 1 5.748 5.3825 -5.3825
+       cuboid  0 1 6.87 -6.87 6.87 -6.87 6.505 -6.505
+  end geometry
+  read array
+     nux=2 nuy=2 nuz=2  fill f1 end fill
+  end array
+  end data
+  end
+
+.. code-block:: scale
+  :name: list2-6-4
+  :caption: Sample converted CSAS6 output file.
+
+  =csas26
+  sample problem 1  case 2c8 bare
+  v7-238
+  read composition
+     uranium  1 den=18.76 1 293 92235 93.2 92238 5.6 92234 1.0 92236 0.2 end
+  end composition
+  read parameters
+  flx=yes fdn=yes far=yes htm=no
+  end parameters
+  read geometry
+  unit          1
+  cylinder   1
+                5.748000E+00  5.382500E+00 -5.382500E+00
+              origin   x=  0.000000E+00   y=  0.000000E+00
+  media     1    1       1
+                      vol=  8.938970E+03
+  cuboid     2
+                6.870000E+00 -6.870000E+00  6.870000E+00
+               -6.870000E+00  6.505000E+00 -6.505000E+00
+  media     0    1       2  -1
+                      vol=  1.071004E+04
+  boundary     2
+  global unit         2
+  cuboid 1
+                2.748000E+01  0.000000E+00  2.748000E+01
+                0.000000E+00  2.602000E+01  0.000000E+00
+  array      1  1
+                 place 1 1 1    6.87000E+00   6.87000E+00   6.50500E+00
+  boundary 1
+  end geometry
+  read array
+  nux=2 nuy=2 nuz=2  fill f1 end fill
+  end array
+  end data
+  end
--- a/docs/KMART.rst
+++ b/docs/KMART.rst
-.. _KMART:
+.. _2-5:

 KMART5 and KMART6: Postprocessors for KENO V.A and KENO-VI
 ==========================================================

--- a/docs/KenoA.rst
+++ b/docs/KenoA.rst
 .. _8-1A:

 Keno Appendix A: KENO V.a Shape Descriptions
-============================================
+--------------------------------------------

 The geometry **shape**\ s allowed in KENO V.a geometry description are:


--- a/docs/KenoB.rst
+++ b/docs/KenoB.rst
 .. _8-1B:

 Keno Appendix B: KENO VI Shape Descriptions
-===========================================
+-------------------------------------------

 The geometry **shape**\ s allowed in KENO-VI geometry description are:


--- a/docs/KenoC.rst
+++ b/docs/KenoC.rst
 .. _8-1C:

 Keno Appendix C: Sample problems
-================================
+--------------------------------

 This section contains sample problems to demonstrate some of the options
 available in KENO in stand-alone mode. Because stand-alone KENO has no

--- a/docs/Material Specification and Cross Section Processing Overview.rst
+++ b/docs/Material Specification and Cross Section Processing Overview.rst
 .. _7-0:

-Material Specification and Cross Section Processing Overview
-============================================================
+***************************************************
+Material Specification and Cross Section Processing
+***************************************************

 *Introduction by M. L. Williams and B. T. Rearden*

@@ -205,4 +206,31 @@ which defines a uniform lattice pitch that produces the same Dancoff
 value as the nonuniform lattice. The CENTRM transport calculation then
 proceeds as usual using 2D MoC or 1D S\ :sub:`n` for the unit cell.

+.. include:: XSProc.rst
+
+.. include:: XSProcAppA.rst
+
+.. include:: XSProcAppB.rst
+
+.. include:: XSProcAppC.rst
+
+.. include:: stdcmp.rst
+
+.. include:: BONAMI.rst
+
+.. include:: CENTRM.rst
+
+.. include:: PMC.rst
+
+.. include:: PMCAppAB.rst
+
+.. include:: CHOPS.rst
+
+.. include:: CRAWDAD.rst
+
+.. include:: MCDancoff.rst
+
+.. include:: CAJUN.rst
+
+
 .. bibliography:: bibs/MaterialSpecificationandCrossSectionProcessing.bib
--- a/docs/Monte Carlo Transport Overview.rst
+++ b/docs/Monte Carlo Transport Overview.rst
-.. _MCToverview:
+.. _8-0:

-Monte Carlo Transport Overview
-==============================
+*********************
+Monte Carlo Transport
+*********************

 *Introduction by B. T. Rearden*

@@ -22,7 +23,7 @@ TSUNAMI-3D for sensitivity and uncertainty analysis, and MCDancoff for
 three-dimensional Dancoff factor calculations.

 Multigroup Physics
------------------
+

 The multigroup treatment implemented in SCALE has been in use since the
 1960s and provides efficient, effective solutions with superior runtime
@@ -53,7 +54,7 @@ physics is implemented for neutron, photon, and neutron-photon coupled
 particle transport modes.

 Continuous-energy Physics
-~~~~~~~~~~~~~~~~~~~~~~~~~
+

 The continuous energy treatment in SCALE provides high resolution
 solution strategies with explicit physics representation. The continuous
@@ -80,7 +81,7 @@ calculation. Continuous energy physics is implemented for neutron,
 photon, and neutron-photon coupled particle transport modes.

 Geometry Packages
-----------------
+

 Two variants of KENO provide identical solution capabilities with
 different geometry packages. KENO V.a implements a simple and efficient
@@ -145,7 +146,6 @@ unit. The judicious use of holes in SGGP can significantly speed up the
 calculation.

 Eigenvalue Analysis
-------------------

 KENO performs eigenvalue calculations for neutron transport primarily to
 calculate multiplication factors and flux distributions of fissile
@@ -205,7 +205,6 @@ process, and then they are processed either for final edits or next
 generations.

 Shielding Analysis
------------------

 Monaco is a fixed-source Monte Carlo shielding code that calculates
 neutron and photon fluxes and response functions for specific geometry
@@ -221,4 +220,15 @@ imported directly from emission data provided by ORIGEN. Spent fuel
 analysis is simplified through direct coupling with the ORIGEN binary
 concentration files.

+.. include:: Keno.rst
+
+.. include:: KenoA.rst
+
+.. include:: KenoB.rst
+
+.. include:: KenoC.rst
+
+.. include:: Monaco.rst
+
+