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T0NGXU commited on Dec 29, 2025

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CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/Lambda/Lambda_1_300000.vtu +27 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/Lambda/Lambda_300000.pvtu +19 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/Surf.pvd +9 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/grid/Grid_0_300000.vtu +0 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/grid/Grid_1_300000.vtu +35 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/grid/Grid_300000.pvtu +27 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/grid/final-grid.dat +0 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/log.sparta +318 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/mir.txt +3 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/output/grid.300000.dat +0 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/output/lambdakn.300000.dat +0 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/output/surf.300000.dat +209 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/runmpirun128.sh +18 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/runmpirun64.sh +18 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/slurm-28428933.out +200 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/surf/Surf_300000.vtu +38 -0
CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/surf/geom.surf +610 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/Grid.pvd +9 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/Lambda.pvd +9 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/Lambda/Lambda_1_300000.vtu +27 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/Lambda/Lambda_300000.pvtu +19 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/Surf.pvd +9 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/config.txt +78 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/cylinder.surf +410 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/gas.species +14 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/gas.vhs +9 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/grid/Grid_0_300000.vtu +0 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/grid/Grid_1_300000.vtu +35 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/grid/Grid_300000.pvtu +27 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/grid/final-grid.dat +0 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/log.sparta +318 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/mir.txt +3 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/output/grid.300000.dat +0 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/output/lambdakn.300000.dat +0 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/output/surf.300000.dat +209 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/runmpirun128.sh +18 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/runmpirun64.sh +18 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/slurm-28428936.out +200 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/surf/Surf_300000.vtu +38 -0
CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/surf/geom.surf +610 -0
CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/Grid.pvd +9 -0
CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/Lambda.pvd +9 -0
CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/Lambda/Lambda_1_300000.vtu +27 -0
CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/Lambda/Lambda_300000.pvtu +19 -0
CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/Surf.pvd +9 -0
CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/config.txt +78 -0
CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/cylinder.surf +410 -0

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/Lambda/Lambda_0_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/Lambda/Lambda_1_300000.vtu ADDED Viewed

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+</VTKFile>

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+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/Surf.pvd ADDED Viewed

	@@ -0,0 +1,9 @@

+<?xml version="1.0"?>
+<VTKFile type="Collection" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+   <Collection>
+    <DataSet timestep="300000" group="" part="0"
+             file="Surf/Surf_300000.vtu"/>
+   </Collection>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/grid/Grid_0_300000.vtu ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/grid/Grid_1_300000.vtu ADDED Viewed

	@@ -0,0 +1,35 @@

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="1111"                 NumberOfCells="1000"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="101"                  RangeMax="11000"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.05"                 RangeMax="5.95"                 offset="2240"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.95"                RangeMax="4.95"                 offset="2388"                />
+        <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="19.032"               RangeMax="59.338"               offset="2928"                />
+        <DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="2.0529e+19"           RangeMax="6.4005e+19"           offset="8024"                />
+        <DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="1.361e-06"            RangeMax="4.2435e-06"           offset="17752"               />
+        <DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="701.02"               RangeMax="1076.8"               offset="27464"               />
+        <DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-229.08"              RangeMax="229.57"               offset="31092"               />
+        <DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-4.5017"              RangeMax="5.9062"               offset="37944"               />
+        <DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.14938"              RangeMax="0.42553"              offset="46352"               />
+        <DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="410.78"               RangeMax="610.04"               offset="54552"               />
+        <DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="58636"               />
+        <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="58700"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5"                    RangeMax="7.8102496759"         offset="58764"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="62316"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="68748"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="70596"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAABAHwAAbRwAAA==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AQAAAACAAABAHwAAYBwAAA==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AQAAAACAAABAHwAAjwoAAA==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AQAAAACAAABAHwAAkBgAAA==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AQAAAACAAABAHwAA4wsAAA==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AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAAAUNAAAVgoAAA==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AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/grid/Grid_300000.pvtu ADDED Viewed

	@@ -0,0 +1,27 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="f_1[1]"/>
+<PDataArray type="Float64" Name="f_1[2]"/>
+<PDataArray type="Float64" Name="f_1[3]"/>
+<PDataArray type="Float64" Name="f_1[4]"/>
+<PDataArray type="Float64" Name="f_1[5]"/>
+<PDataArray type="Float64" Name="f_1[6]"/>
+<PDataArray type="Float64" Name="f_1[7]"/>
+<PDataArray type="Float64" Name="f_1[8]"/>
+<PDataArray type="Float64" Name="f_1[9]"/>
+<PDataArray type="Float64" Name="f_1[10]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Grid_0_300000.vtu"/>
+<Piece Source="Grid_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/grid/final-grid.dat ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/log.sparta ADDED Viewed

	@@ -0,0 +1,318 @@

+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    R equal 1.380649e-23/${molecular_mass}
+variable    R equal 1.380649e-23/6.63e-26
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.4
+variable   Ma equal 3.7
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    mfp equal 0.4*${L}
+variable    mfp equal 0.4*1
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*0.4)
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    sos equal sqrt(1.666666667*${R}*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*273)
+variable    vo equal ${Ma}*${sos}
+variable    vo equal 3.7*${sos}
+variable    vo equal 3.7*307.815564238681
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vx equal 1138.91758768312*cos(${theta}*2*PI/360)
+variable    vx equal 1138.91758768312*cos(0*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    vy equal 1138.91758768312*sin(${theta}*2*PI/360)
+variable    vy equal 1138.91758768312*sin(0*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/0.4*${cpmfp}
+variable    xncells equal (6--5)/0.4*4
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/0.4*${cpmfp}
+variable    yncells equal (5--5)/0.4*4
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/100
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/1138.91758768312/${xncells}/10/4
+variable    tstep equal (--5+6)/1138.91758768312/110/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+Running on 128 MPI task(s)
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    nrho 3.23595913252916e+19
+global    fnum ${Fnum}
+global    fnum 1.07865304417639e+16
+timestep    ${tstep}
+timestep    2.19506663786421e-06
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 -5 ${ymax} -0.5 0.5
+create_box    -5 6 -5 5 -0.5 0.5
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+create_grid    ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    110 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    110 100 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+Created 48572 child grid cells
+  CPU time = 0.0883748 secs
+  create/ghost percent = 1.25048 98.7495
+balance_grid  rcb cell
+Balance grid migrated 48478 cells
+  CPU time = 0.079402 secs
+  reassign/sort/migrate/ghost percent = 66.8521 0.0438402 9.41705 23.687
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1138.91758768312 ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1138.91758768312 0 0.0 temp ${To}
+mixture   air Ar vstream 1138.91758768312 0 0.0 temp 273
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  43392 4856 324 = cells outside/inside/overlapping surfs
+  324 = surf cells with 1,2,etc splits
+  109.215 109.215 = cell-wise and global flow volume
+  CPU time = 0.0880129 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 24.648 26.5581 3.00396 25.1343 20.6557 6.78389 0.173064
+  surf2grid time = 0.0221214 secs
+  map/comm1/comm2/comm3/comm4/split percent = 13.4721 26.8037 4.00365 1.66159 11.9908 6.76737
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+Balance grid migrated 1125 cells
+  CPU time = 0.0279038 secs
+  reassign/sort/migrate/ghost percent = 9.36244 0.100201 31.5495 58.9878
+create_particles air n 0
+Created 327644 particles
+  CPU time = 0.0118301 secs
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.59521 0 1.6875
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.37473 3.22189 6.03439
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0   327644        0        0        0            0            0
+   10000    9.5147992   364302     6115     5238        7    347634.31      10.7513
+   20000    19.766792   365339     6103     5244        9     356361.3     10.83545
+   30000    29.652064   364688     6182     5315        9    359232.62    10.852633
+   40000    39.991663   365680     6222     5315       14    360768.58     10.86585
+   50000    51.081157   365323     6173     5287        5    361698.82     10.87866
+   60000    60.913967   364854     6145     5272       12    362250.57      10.8881
+   70000    71.518665   365191     6037     5137        8    362688.01    10.891057
+   80000    81.344395   364850     6064     5179       14    363011.62     10.89285
+   90000     91.13632   364709     6165     5275        9    363265.74    10.896122
+  100000    101.38461   365321     6200     5312        6    363443.49     10.89543
+  110000     111.8759   365487     6151     5283        9    363636.29      10.8991
+  120000    121.59197   365600     6087     5205       15    363814.26    10.904158
+  130000    132.15333   364455     6043     5183        5    363926.53    10.900062
+  140000    142.06682   364693     6107     5249       13    363988.31    10.900621
+  150000    151.71813   365353     6180     5286        9    364062.61     10.90072
+  160000    162.57656   365164     6137     5335       13    364135.76    10.904219
+  170000    173.19498   364773     6277     5418       14    364200.48    10.909518
+  180000    182.79562   364998     6111     5209        9    364254.51    10.909394
+  190000    193.36544   365435     6202     5326       15    364300.22    10.912384
+  200000    203.51599   365198     6126     5234       13    364353.88     10.91217
+Loop time of 203.517 on 128 procs for 200000 steps with 365198 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.022404   | 8.94       | 53.514     | 384.7 |  4.39
+Coll    | 0.2533     | 7.9082     | 57.139     | 373.1 |  3.89
+Sort    | 0.085758   | 1.4574     | 9.0678     | 159.5 |  0.72
+Comm    | 46.387     | 83.265     | 93.809     |  97.2 | 40.91
+Modify  | 0.018287   | 0.10424    | 1.9972     |  89.3 |  0.05
+Output  | 0.012288   | 0.015953   | 0.01758    |   0.6 |  0.01
+Other   |            | 101.8      |            |       | 50.03
+Particle moves    = 72870775675 (72.9B)
+Cells touched     = 76256879487 (76.3B)
+Particle comms    = 180647990 (181M)
+Boundary collides = 0 (0K)
+Boundary exits    = 17718610 (17.7M)
+SurfColl checks   = 120476460 (120M)
+SurfColl occurs   = 2182434 (2.18M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 1371646356 (1.37B)
+Collide occurs    = 1072837666 (1.07B)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 2.79733e+06
+Particle-moves/step: 364354
+Cell-touches/particle/step: 1.04647
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00247902
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000243151
+Surface-checks/particle/step: 0.00165329
+Surface-collisions/particle/step: 2.99494e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.018823
+Collisions/particle/step: 0.0147225
+Reactions/particle/step: 0
+Particles: 2853.11 ave 18449 max 0 min
+Histogram: 84 14 8 4 8 3 3 0 0 4
+Cells:      379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump         1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 10000 c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump         2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump         3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.66113 0 3.375
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.56829 3.34929 6.16229
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0   365198     6126     5234        0            0            0
+  210000    17.655649   365176     6237     5365        9    365441.04      10.9152
+  220000    36.254972   364733     6086     5238        7    365181.06     10.89095
+  230000    53.912449   365401     6112     5229       11    365162.27    10.902733
+  240000    71.890902   364445     6095     5167        7     365193.2     10.88065
+  250000    92.053765   365009     6205     5320       13    365102.44      10.8988
+  260000    109.79181   365036     6251     5366        9    365115.97    10.899533
+  270000     127.5176   365378     6182     5333        8     365143.6    10.897414
+  280000    146.29057   365787     6145     5287        9    365172.91    10.903562
+  290000    163.90756   364508     6186     5308        9    365170.65    10.909167
+  300000    182.42507   365268     6241     5351       13    365171.25     10.90828
+Loop time of 182.425 on 128 procs for 100000 steps with 365268 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.011732   | 4.5014     | 26.978     | 272.2 |  2.47
+Coll    | 0.12674    | 3.9819     | 29.036     | 265.8 |  2.18
+Sort    | 0.048815   | 0.73895    | 4.5763     | 112.7 |  0.41
+Comm    | 30.412     | 48.696     | 54.391     |  64.0 | 26.69
+Modify  | 1.7645     | 12.476     | 71.283     | 421.5 |  6.84
+Output  | 0.095392   | 0.097031   | 0.10058    |   0.4 |  0.05
+Other   |            | 111.9      |            |       | 61.36
+Particle moves    = 36517124925 (36.5B)
+Cells touched     = 38212869259 (38.2B)
+Particle comms    = 90461249 (90.5M)
+Boundary collides = 0 (0K)
+Boundary exits    = 8877568 (8.88M)
+SurfColl checks   = 60265825 (60.3M)
+SurfColl occurs   = 1090828 (1.09M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 689864061 (690M)
+Collide occurs    = 539567969 (540M)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.56387e+06
+Particle-moves/step: 365171
+Cell-touches/particle/step: 1.04644
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00247723
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000243107
+Surface-checks/particle/step: 0.00165034
+Surface-collisions/particle/step: 2.98717e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0188915
+Collisions/particle/step: 0.0147758
+Reactions/particle/step: 0
+Particles: 2853.66 ave 18317 max 0 min
+Histogram: 84 14 4 8 8 4 2 0 0 4
+Cells:      379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+write_grid    grid/final-grid.dat
+  grid cells = 48572
+  CPU time = 0.0069773 secs
+write_surf    surf/geom.surf
+  surf elements = 200
+  CPU time = 0.00161737 secs

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/mir.txt ADDED Viewed

	@@ -0,0 +1,3 @@

+dimension     2
+create_box    -5.0 6.0 -5.0 5.0 -0.5 0.5
+read_grid     grid/final-grid.dat

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/output/grid.300000.dat ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/output/lambdakn.300000.dat ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/output/surf.300000.dat ADDED Viewed

	@@ -0,0 +1,209 @@

+ITEM: TIMESTEP
+300000
+ITEM: NUMBER OF SURFS
+200
+ITEM: BOX BOUNDS oo oo pp
+-5 6
+-5 5
+-0.5 0.5
+ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
+1          0.5            0      0.49975    -0.015705      0.00208     0.027661    -0.027657   0.00043448   2.7983e-06   0.00017813  -0.00043438   9.6224e-06       3.3917            0            0
+129     -0.31871      0.38526     -0.30645      0.39508      0.08842       1.3268      0.82955      -1.0354      0.21916      0.17558     0.016472    -0.013506       250.57            0            0
+2      0.49975    -0.015705      0.49901    -0.031395      0.00183     0.023137    -0.023111    0.0010899   4.1807e-05   0.00088651  -0.00036235   3.1044e-05       2.4718            0            0
+130     -0.30645      0.39508     -0.29389      0.40451      0.08548       1.2852      0.77168      -1.0278      0.23985      0.18008     0.015888    -0.013315       241.53            0            0
+3      0.49901    -0.031395      0.49778    -0.047054      0.00209     0.028231    -0.028144     0.002215   -2.664e-05   -0.0003385  -0.00044249   2.9475e-05       2.4918            0            0
+131     -0.29389      0.40451     -0.28104      0.41354      0.08134       1.2119      0.69687     -0.99155      0.22612      0.15892     0.014498    -0.013078       227.31            0            0
+4      0.49778    -0.047054      0.49606    -0.062667      0.00184     0.025166    -0.025014    0.0027616    0.0001301    0.0011785  -0.00039087   6.1888e-05       1.7407            0            0
+132     -0.28104      0.41354     -0.26791      0.42216       0.0771       1.1532      0.63316     -0.96389      0.22964      0.15084     0.013552    -0.012771       216.65            0            0
+5      0.49606    -0.062667      0.49384    -0.078217      0.00189     0.025197    -0.024945    0.0035502   3.4383e-05   0.00024159  -0.00039128    5.956e-05       3.0701            0            0
+133     -0.26791      0.42216     -0.25452      0.43037      0.07368       1.1093      0.57961     -0.94583       0.2372      0.14536      0.01283    -0.012573       213.48            0            0
+6      0.49384    -0.078217      0.49114    -0.093691      0.00193     0.024364    -0.024001    0.0041888   3.3159e-05   0.00018999  -0.00037647    6.878e-05        2.796            0            0
+134     -0.25452      0.43037     -0.24088      0.43815      0.07118        1.056      0.52319     -0.91725      0.24569      0.14014     0.012077    -0.012206       203.44            0            0
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+57    -0.093691     -0.49114     -0.10907     -0.48796        0.039      0.56652      0.11488      0.55475      0.20777    -0.043028    0.0050681    0.0080378       120.43            0            0
+185      0.43815      0.24088       0.4455        0.227      0.00172     0.020901    -0.018471     -0.00978    0.0024506   -0.0046284  -0.00025164  -0.00022632       2.5131            0            0
+58     -0.10907     -0.48796     -0.12434     -0.48429      0.04179      0.61259      0.14301      0.59567      0.22193     -0.05328    0.0057321    0.0085195       123.66            0            0
+186       0.4455        0.227      0.45241      0.21289      0.00166     0.020362    -0.018286    -0.008958    0.0025042   -0.0051116  -0.00024788    -0.000221       2.2882            0            0
+59     -0.12434     -0.48429      -0.1395     -0.48015      0.04405      0.64489      0.17017      0.62203      0.22249    -0.060867    0.0061676    0.0088143       129.03            0            0
+187      0.45241      0.21289      0.45888      0.19857      0.00163     0.021538     -0.01963   -0.0088632    0.0014778   -0.0032731  -0.00028512  -0.00019063       2.9057            0            0
+60      -0.1395     -0.48015     -0.15451     -0.47553      0.04753      0.69696      0.20494      0.66615       0.2268    -0.069774    0.0067815    0.0093675       143.44            0            0
+188      0.45888      0.19857      0.46489      0.18406      0.00166     0.020465    -0.018907   -0.0078315   0.00061082   -0.0014747  -0.00028738  -0.00014617       1.7369            0            0
+61     -0.15451     -0.47553     -0.16937     -0.47044      0.05079      0.75256      0.24377      0.71199      0.23732    -0.081253    0.0075566    0.0099071       153.87            0            0
+189      0.46489      0.18406      0.47044      0.16937      0.00156     0.019801    -0.018523   -0.0069992   0.00080828   -0.0021391  -0.00027825  -0.00014354       3.3248            0            0
+62     -0.16937     -0.47044     -0.18406     -0.46489      0.05409      0.79074      0.27951      0.73969      0.23674    -0.089457    0.0081088     0.010213       156.11            0            0
+190      0.47044      0.16937      0.47553      0.15451      0.00165     0.022022    -0.020835   -0.0071333   0.00048575   -0.0014188  -0.00031963  -0.00013433       2.4969            0            0
+63     -0.18406     -0.46489     -0.19857     -0.45888      0.05491      0.81434      0.31163      0.75235      0.23251    -0.096307     0.008547     0.010305       161.55            0            0
+191      0.47553      0.15451      0.48015       0.1395      0.00163     0.022521    -0.021525   -0.0066221   0.00040038   -0.0013015  -0.00033182  -0.00012446       2.9117            0            0
+64     -0.19857     -0.45888     -0.21289     -0.45241      0.05972      0.88189      0.36291      0.80375      0.23305     -0.10523     0.009361     0.010972       168.79            0            0
+192      0.48015       0.1395      0.48429      0.12434      0.00166     0.022836    -0.022026   -0.0060257    0.0001501  -0.00054866  -0.00034362  -0.00010327       2.2294            0            0
+65     -0.21289     -0.45241       -0.227      -0.4455      0.06287      0.94351      0.41509       0.8473      0.24239     -0.11874     0.010327     0.011444       187.58            0            0
+193      0.48429      0.12434      0.48796      0.10907      0.00178     0.023924    -0.023263    -0.005585  -0.00026157    0.0010895  -0.00036951  -7.0613e-05       3.0007            0            0
+66       -0.227      -0.4455     -0.24088     -0.43815      0.06698        1.001      0.46841      0.88467      0.22775     -0.12059     0.010935     0.012002       194.07            0            0
+194      0.48796      0.10907      0.49114     0.093691       0.0019     0.024989    -0.024469   -0.0050674   0.00036327   -0.0017541  -0.00037864  -0.00010715       2.4821            0            0
+67     -0.24088     -0.43815     -0.25452     -0.43037      0.06926       1.0205      0.50562      0.88644      0.23791      -0.1357     0.011679     0.011792       193.78            0            0
+195      0.49114     0.093691      0.49384     0.078217      0.00191       0.0264    -0.026007    -0.004539   4.2492e-05  -0.00024347  -0.00040784  -7.5119e-05       2.8802            0            0
+68     -0.25452     -0.43037     -0.26791     -0.42216      0.07426       1.1135      0.58182      0.94945      0.23851     -0.14616     0.012885     0.012618       213.49            0            0
+196      0.49384     0.078217      0.49606     0.062667      0.00179     0.023425    -0.023191   -0.0033006  -1.0359e-07   7.2784e-07  -0.00036427  -5.1832e-05        2.177            0            0
+69     -0.26791     -0.42216     -0.28104     -0.41354      0.07702        1.159      0.63631      0.96868      0.23892     -0.15694     0.013747      0.01275       217.98            0            0
+197      0.49606     0.062667      0.49778     0.047054      0.00189     0.025116    -0.024964   -0.0027561  -5.4892e-05   0.00049721  -0.00039299  -3.5481e-05       3.2638            0            0
+70     -0.28104     -0.41354     -0.29389     -0.40451      0.08278       1.2395      0.71269       1.0141      0.24067     -0.16915     0.014975     0.013271        235.2            0            0
+198      0.49778     0.047054      0.49901     0.031395       0.0019     0.025256    -0.025179   -0.0019816   5.8722e-05  -0.00074614  -0.00039457  -4.2845e-05       2.7059            0            0
+71     -0.29389     -0.40451     -0.30645     -0.39508      0.08521       1.2772      0.76685       1.0214      0.23227     -0.17439     0.015694     0.013303       240.93            0            0
+199      0.49901     0.031395      0.49975     0.015705      0.00183     0.023958    -0.023931   -0.0011286   3.5207e-05  -0.00074656  -0.00037534  -2.9453e-05       2.7635            0            0
+72     -0.30645     -0.39508     -0.31871     -0.38526      0.08943       1.3437      0.84017       1.0487      0.23309     -0.18674     0.016858     0.013539       252.62            0            0
+200      0.49975     0.015705          0.5            0      0.00224     0.029976    -0.029972  -0.00047084   3.1806e-06  -0.00020247  -0.00047073  -1.0576e-05       3.4475            0            0
+73     -0.31871     -0.38526     -0.33066     -0.37506      0.09316       1.4013      0.91007       1.0656      0.22334     -0.19075     0.017803     0.013741       260.72            0            0
+74     -0.33066     -0.37506     -0.34227     -0.36448      0.09868       1.4855      0.99979       1.0988      0.21423     -0.19494     0.019069     0.014197       273.33            0            0
+75     -0.34227     -0.36448     -0.35355     -0.35355      0.10133       1.5223       1.0594       1.0932      0.21049     -0.20398     0.019946     0.013967       279.86            0            0
+76     -0.35355     -0.35355     -0.36448     -0.34227      0.10653       1.6012       1.1499       1.1143      0.19894     -0.20529     0.021186     0.014278       284.25            0            0
+77     -0.36448     -0.34227     -0.37506     -0.33066      0.11082       1.6746       1.2386        1.127      0.19618     -0.21559     0.022536     0.014316       307.41            0            0
+78     -0.37506     -0.33066     -0.38526     -0.31871      0.11275       1.7161       1.3049       1.1145      0.17939     -0.21004     0.023315     0.014207        321.5            0            0
+79     -0.38526     -0.31871     -0.39508     -0.30645      0.11785       1.7692       1.3808       1.1062      0.17189     -0.21455     0.024388     0.014005       324.89            0            0
+80     -0.39508     -0.30645     -0.40451     -0.29389       0.1217       1.8481       1.4779       1.1096      0.16876     -0.22477     0.025864     0.013899       335.92            0            0
+81     -0.40451     -0.29389     -0.41354     -0.28104      0.12786       1.9449       1.5912       1.1183      0.15362     -0.21858     0.027406     0.014132       360.87            0            0
+82     -0.41354     -0.28104     -0.42216     -0.26791      0.12975       1.9477       1.6279       1.0693      0.13535     -0.20605     0.027696      0.01356        342.4            0            0
+83     -0.42216     -0.26791     -0.43037     -0.25452      0.13584       2.0607        1.757       1.0767      0.13764     -0.22461      0.02976     0.013384       367.33            0            0
+84     -0.43037     -0.25452     -0.43815     -0.24088      0.13781       2.0742       1.8017       1.0277      0.11722     -0.20551     0.030141     0.012914       369.44            0            0
+85     -0.43815     -0.24088      -0.4455       -0.227      0.14142       2.1434       1.8943        1.003      0.10476     -0.19785       0.0314     0.012646       384.66            0            0
+86      -0.4455       -0.227     -0.45241     -0.21289      0.14458       2.2042       1.9794      0.96971     0.099015     -0.20212     0.032647     0.012057       402.65            0            0
+87     -0.45241     -0.21289     -0.45888     -0.19857      0.14995       2.2512       2.0517       0.9264     0.083128     -0.18411     0.033533     0.011659       394.17            0            0
+88     -0.45888     -0.19857     -0.46489     -0.18406      0.15287       2.3206        2.144      0.88807     0.083078     -0.20057     0.034981     0.010799       408.16            0            0
+89     -0.46489     -0.18406     -0.47044     -0.16937      0.15587       2.3556       2.2035      0.83263     0.065895     -0.17439     0.035646     0.010339       418.54            0            0
+90     -0.47044     -0.16937     -0.47553     -0.15451      0.15918       2.4134       2.2832      0.78173     0.062447     -0.18239     0.036845     0.009414       435.53            0            0
+91     -0.47553     -0.15451     -0.48015      -0.1395      0.16088        2.421        2.314      0.71187     0.046196     -0.15016     0.037072    0.0088229       422.39            0            0
+92     -0.48015      -0.1395     -0.48429     -0.12434      0.16285        2.473       2.3853      0.65255     0.037561      -0.1373     0.038057    0.0080932          447            0            0
+93     -0.48429     -0.12434     -0.48796     -0.10907      0.16536       2.5027       2.4336      0.58425     0.029812     -0.12418     0.038693    0.0072266       444.73            0            0
+94     -0.48796     -0.10907     -0.49114    -0.093691      0.16515       2.5207       2.4683      0.51116      0.02201     -0.10628     0.039116    0.0063595       449.73            0            0
+95     -0.49114    -0.093691     -0.49384    -0.078217      0.16787       2.5424       2.5045      0.43711     0.019442      -0.1114     0.039645    0.0051161       446.51            0            0
+96     -0.49384    -0.078217     -0.49606    -0.062667      0.16984       2.5717        2.546      0.36235     0.010727    -0.075369      0.04016    0.0045078       455.36            0            0
+97     -0.49606    -0.062667     -0.49778    -0.047054      0.17275        2.618       2.6022      0.28728    0.0082494    -0.074722     0.041003    0.0033388       459.89            0            0
+98     -0.49778    -0.047054     -0.49901    -0.031395      0.17075       2.5854       2.5774      0.20285    0.0026205    -0.033296     0.040526    0.0026632       459.58            0            0
+99     -0.49901    -0.031395     -0.49975    -0.015705      0.17193       2.6147       2.6118      0.12317   0.00031662   -0.0067138      0.04103    0.0018292       461.62            0            0
+100     -0.49975    -0.015705         -0.5            0      0.17172       2.6085       2.6081     0.040972   0.00014463   -0.0092069     0.040969   0.00049894       458.05            0            0
+101         -0.5            0     -0.49975     0.015705      0.17179       2.6096       2.6093     -0.04099   0.00014202    0.0090408     0.040987  -0.00050184       473.08            0            0
+102     -0.49975     0.015705     -0.49901     0.031395      0.17274       2.6273       2.6244     -0.12376    0.0013666     0.028978     0.041244   -0.0014888       465.09            0            0
+103     -0.49901     0.031395     -0.49778     0.047054      0.17063       2.5894       2.5814     -0.20316    0.0035519     0.045132     0.040602   -0.0024822       446.54            0            0
+104     -0.49778     0.047054     -0.49606     0.062667      0.17091       2.6008       2.5851     -0.28539    0.0066617      0.06034     0.040709    -0.003535        451.2            0            0
+105     -0.49606     0.062667     -0.49384     0.078217       0.1696       2.5735       2.5479     -0.36261     0.010955     0.076973     0.040192   -0.0044866       455.31            0            0
+106     -0.49384     0.078217     -0.49114     0.093691      0.16636       2.5275       2.4898     -0.43455     0.017426     0.099844     0.039383   -0.0052573       443.73            0            0
+107     -0.49114     0.093691     -0.48796      0.10907      0.16716       2.5357       2.4831     -0.51422     0.022299      0.10768     0.039352   -0.0063856       446.06            0            0
+108     -0.48796      0.10907     -0.48429      0.12434       0.1641       2.4753       2.4069     -0.57784     0.036101      0.15037     0.038373   -0.0067144       434.92            0            0
+109     -0.48429      0.12434     -0.48015       0.1395      0.16382       2.4821       2.3941     -0.65496     0.037877      0.13846     0.038201    -0.008113       443.47            0            0
+110     -0.48015       0.1395     -0.47553      0.15451      0.15885       2.4012       2.2951     -0.70606     0.046977       0.1527     0.036788   -0.0086918       425.27            0            0
+111     -0.47553      0.15451     -0.47044      0.16937      0.15718       2.3927       2.2637     -0.77504      0.06105      0.17831     0.036516    -0.009373       425.35            0            0
+112     -0.47044      0.16937     -0.46489      0.18406       0.1553       2.3436       2.1923     -0.82839     0.070813       0.1874     0.035547    -0.010068       404.48            0            0
+113     -0.46489      0.18406     -0.45888      0.19857      0.14855       2.2523       2.0809     -0.86192     0.073315        0.177     0.033836    -0.010758        398.1            0            0
+114     -0.45888      0.19857     -0.45241      0.21289      0.14704       2.2382       2.0399     -0.92107     0.088898      0.19689     0.033438    -0.011375       394.62            0            0
+115     -0.45241      0.21289      -0.4455        0.227      0.14331       2.1702       1.9489     -0.95475     0.091614      0.18701     0.032051    -0.012059       385.59            0            0
+116      -0.4455        0.227     -0.43815      0.24088       0.1413       2.1271       1.8798     -0.99533      0.10503      0.19837     0.031177    -0.012518       376.17            0            0
+117     -0.43815      0.24088     -0.43037      0.25452      0.13966       2.1049       1.8284      -1.0429      0.11274      0.19765      0.03049    -0.013276       369.04            0            0
+118     -0.43037      0.25452     -0.42216      0.26791      0.13521       2.0319       1.7325      -1.0617      0.13589      0.22176     0.029348    -0.013193       365.51            0            0
+119     -0.42216      0.26791     -0.41354      0.28104      0.12933        1.961        1.639      -1.0766      0.13251      0.20173     0.027826    -0.013742       347.26            0            0
+120     -0.41354      0.28104     -0.40451      0.29389      0.12536       1.8854       1.5425      -1.0841      0.15126      0.21522     0.026605    -0.013648       341.04            0            0
+121     -0.40451      0.29389     -0.39508      0.30645      0.12297       1.8543       1.4829      -1.1134      0.16209      0.21588     0.025838    -0.014097       333.29            0            0
+122     -0.39508      0.30645     -0.38526      0.31871      0.11891       1.7964       1.4019      -1.1232      0.17606      0.21976     0.024786     -0.01419       322.13            0            0
+123     -0.38526      0.31871     -0.37506      0.33066      0.11304       1.7132       1.3027      -1.1126      0.18306      0.21434     0.023337    -0.014109        310.5            0            0
+124     -0.37506      0.33066     -0.36448      0.34227       0.1101       1.6527       1.2224      -1.1123      0.18887      0.20757     0.022167     -0.01421        301.7            0            0
+125     -0.36448      0.34227     -0.35355      0.35355       0.1066       1.5999       1.1489      -1.1134      0.20279      0.20926     0.021232    -0.014202       293.76            0            0
+126     -0.35355      0.35355     -0.34227      0.36448      0.10365       1.5557       1.0827      -1.1172       0.1947      0.18868     0.020064    -0.014585       282.37            0            0
+127     -0.34227      0.36448     -0.33066      0.37506      0.09851       1.4724      0.99094       -1.089      0.21323      0.19403     0.018914    -0.014058       271.82            0            0
+128     -0.33066      0.37506     -0.31871      0.38526      0.09496       1.4138      0.91818      -1.0751      0.21678      0.18515     0.017827    -0.013978       259.13            0            0

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/runmpirun128.sh ADDED Viewed

	@@ -0,0 +1,18 @@

+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 2
+#SBATCH --ntasks-per-node=64
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/runmpirun64.sh ADDED Viewed

	@@ -0,0 +1,18 @@

+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 1
+#SBATCH --ntasks-per-node=64
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/slurm-28428933.out ADDED Viewed

	@@ -0,0 +1,200 @@

+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+Running on 128 MPI task(s)
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+Created 48572 child grid cells
+  CPU time = 0.0883748 secs
+  create/ghost percent = 1.25048 98.7495
+Balance grid migrated 48478 cells
+  CPU time = 0.079402 secs
+  reassign/sort/migrate/ghost percent = 66.8521 0.0438402 9.41705 23.687
+Reading surface file ...
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  43392 4856 324 = cells outside/inside/overlapping surfs
+  324 = surf cells with 1,2,etc splits
+  109.214731023047 109.214731023047 = cell-wise and global flow volume
+  CPU time = 0.0880129 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 24.648 26.5581 3.00396 25.1343 20.6557 6.78389 0.173064
+  surf2grid time = 0.0221214 secs
+  map/comm1/comm2/comm3/comm4/split percent = 13.4721 26.8037 4.00365 1.66159 11.9908 6.76737
+Balance grid migrated 1125 cells
+  CPU time = 0.0279038 secs
+  reassign/sort/migrate/ghost percent = 9.36244 0.100201 31.5495 58.9878
+Creating particles ...
+Created 327644 particles
+  CPU time = 0.0118301 secs
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.59521 0 1.6875
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.37473 3.22189 6.03439
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0   327644        0        0        0            0            0
+   10000    9.5147992   364302     6115     5238        7    347634.31      10.7513
+   20000    19.766792   365339     6103     5244        9     356361.3     10.83545
+   30000    29.652064   364688     6182     5315        9    359232.62    10.852633
+   40000    39.991663   365680     6222     5315       14    360768.58     10.86585
+   50000    51.081157   365323     6173     5287        5    361698.82     10.87866
+   60000    60.913967   364854     6145     5272       12    362250.57      10.8881
+   70000    71.518665   365191     6037     5137        8    362688.01    10.891057
+   80000    81.344395   364850     6064     5179       14    363011.62     10.89285
+   90000     91.13632   364709     6165     5275        9    363265.74    10.896122
+  100000    101.38461   365321     6200     5312        6    363443.49     10.89543
+  110000     111.8759   365487     6151     5283        9    363636.29      10.8991
+  120000    121.59197   365600     6087     5205       15    363814.26    10.904158
+  130000    132.15333   364455     6043     5183        5    363926.53    10.900062
+  140000    142.06682   364693     6107     5249       13    363988.31    10.900621
+  150000    151.71813   365353     6180     5286        9    364062.61     10.90072
+  160000    162.57656   365164     6137     5335       13    364135.76    10.904219
+  170000    173.19498   364773     6277     5418       14    364200.48    10.909518
+  180000    182.79562   364998     6111     5209        9    364254.51    10.909394
+  190000    193.36544   365435     6202     5326       15    364300.22    10.912384
+  200000    203.51599   365198     6126     5234       13    364353.88     10.91217
+Loop time of 203.517 on 128 procs for 200000 steps with 365198 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.022404   | 8.94       | 53.514     | 384.7 |  4.39
+Coll    | 0.2533     | 7.9082     | 57.139     | 373.1 |  3.89
+Sort    | 0.085758   | 1.4574     | 9.0678     | 159.5 |  0.72
+Comm    | 46.387     | 83.265     | 93.809     |  97.2 | 40.91
+Modify  | 0.018287   | 0.10424    | 1.9972     |  89.3 |  0.05
+Output  | 0.012288   | 0.015953   | 0.01758    |   0.6 |  0.01
+Other   |            | 101.8      |            |       | 50.03
+Particle moves    = 72870775675 (72.9B)
+Cells touched     = 76256879487 (76.3B)
+Particle comms    = 180647990 (181M)
+Boundary collides = 0 (0K)
+Boundary exits    = 17718610 (17.7M)
+SurfColl checks   = 120476460 (120M)
+SurfColl occurs   = 2182434 (2.18M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 1371646356 (1.37B)
+Collide occurs    = 1072837666 (1.07B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 2.79733e+06
+Particle-moves/step: 364354
+Cell-touches/particle/step: 1.04647
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00247902
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000243151
+Surface-checks/particle/step: 0.00165329
+Surface-collisions/particle/step: 2.99494e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.018823
+Collisions/particle/step: 0.0147225
+Gas-reactions/particle/step: 0
+Particles: 2853.11 ave 18449 max 0 min
+Histogram: 84 14 8 4 8 3 3 0 0 4
+Cells:     379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.66113 0 3.375
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.56829 3.34929 6.16229
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0   365198     6126     5234        0            0            0
+  210000    17.655649   365176     6237     5365        9    365441.04      10.9152
+  220000    36.254972   364733     6086     5238        7    365181.06     10.89095
+  230000    53.912449   365401     6112     5229       11    365162.27    10.902733
+  240000    71.890902   364445     6095     5167        7     365193.2     10.88065
+  250000    92.053765   365009     6205     5320       13    365102.44      10.8988
+  260000    109.79181   365036     6251     5366        9    365115.97    10.899533
+  270000     127.5176   365378     6182     5333        8     365143.6    10.897414
+  280000    146.29057   365787     6145     5287        9    365172.91    10.903562
+  290000    163.90756   364508     6186     5308        9    365170.65    10.909167
+  300000    182.42507   365268     6241     5351       13    365171.25     10.90828
+Loop time of 182.425 on 128 procs for 100000 steps with 365268 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.011732   | 4.5014     | 26.978     | 272.2 |  2.47
+Coll    | 0.12674    | 3.9819     | 29.036     | 265.8 |  2.18
+Sort    | 0.048815   | 0.73895    | 4.5763     | 112.7 |  0.41
+Comm    | 30.412     | 48.696     | 54.391     |  64.0 | 26.69
+Modify  | 1.7645     | 12.476     | 71.283     | 421.5 |  6.84
+Output  | 0.095392   | 0.097031   | 0.10058    |   0.4 |  0.05
+Other   |            | 111.9      |            |       | 61.36
+Particle moves    = 36517124925 (36.5B)
+Cells touched     = 38212869259 (38.2B)
+Particle comms    = 90461249 (90.5M)
+Boundary collides = 0 (0K)
+Boundary exits    = 8877568 (8.88M)
+SurfColl checks   = 60265825 (60.3M)
+SurfColl occurs   = 1090828 (1.09M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 689864061 (690M)
+Collide occurs    = 539567969 (540M)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.56387e+06
+Particle-moves/step: 365171
+Cell-touches/particle/step: 1.04644
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00247723
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000243107
+Surface-checks/particle/step: 0.00165034
+Surface-collisions/particle/step: 2.98717e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0188915
+Collisions/particle/step: 0.0147758
+Gas-reactions/particle/step: 0
+Particles: 2853.66 ave 18317 max 0 min
+Histogram: 84 14 4 8 8 4 2 0 0 4
+Cells:     379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Writing grid file ...
+  grid cells = 48572
+  CPU time = 0.0069773 secs
+Writing surface file ...
+  surf elements = 200
+  CPU time = 0.00161737 secs
+Processing  2  grid chunk(s).
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+Done in 0:00:08 (wall clock time)
+Processing  2  grid chunk(s).
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+Done in 0:00:07 (wall clock time)
+Processing SPARTA surface information.
+Processing dump result file:  ['./output/surf.300000.dat']

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/surf/Surf_300000.vtu ADDED Viewed

	@@ -0,0 +1,38 @@

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="400"                  NumberOfCells="200"                 >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="1"                    RangeMax="200"                  offset="0"                   />
+        <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="432"                 />
+        <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="1468"                />
+        <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="2476"                />
+        <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="3508"                />
+        <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00154"              RangeMax="0.17275"              offset="4512"                />
+        <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.018777"             RangeMax="2.6273"               offset="6424"                />
+        <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.04568"             RangeMax="2.6244"               offset="8448"                />
+        <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-1.1232"              RangeMax="1.127"                offset="10584"               />
+        <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00026157"          RangeMax="0.24569"              offset="12684"               />
+        <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.22477"             RangeMax="0.22176"              offset="14784"               />
+        <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.00047073"          RangeMax="0.041244"             offset="16920"               />
+        <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.014585"            RangeMax="0.014316"             offset="19064"               />
+        <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="1.7369"               RangeMax="473.08"               offset="21212"               />
+        <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22804"               />
+        <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22856"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503"        RangeMax="0.50000001255"        offset="22908"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="24236"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="25140"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="25632"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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Ir+8sdgzcOrL+SzDKjM09xF1DcTbb89mOvWGQJslfrnkbAY1dpys82ReRrO+180xLFHy0Tb3v3o8DI7IhWNMhHsMubRtFDybCf1nRnmd+SchRGzUjWCQjmkzP74pLhRfRIeXGQDoo1Efute2ZsByVjqsfuAzxmISjo9JXUBjZ5/yDRw4kv3gobdPKhWr4ip7WmTzkhKRVBR3PR8vPPCeu4QP5F+VeixugBIynKQncBLt1mW5x6S3o8461phCMuK7bWYlFmDYciYd0Ceo9eIWlEGWPfV5UW4pD+Y5LKwTLUXNAUe0SrRwy+1lTkhqVmGs2SjRrr8SMwF63oedVoGUae1r00BAxyS5caUBH08XV3Eo61D+LdUTtrsWIQoNUObEO1Ibs1er9dWhz7Bo9odqAR0feqNcq38H26m0uNNtGtM0cHs7PaOT7xEDjaLgkM4+BALGz00tWM2E23jmdeo4Jj3PCnFgNFr5J7D6nH8/C52ot86h3LMiWrsgWJLGhamK0k5bChkqBVPvv3WyIhYrohKhw4JJOzcxV5OAV6Ws2K4CDl3VNmw7Vc+e8OMs2YRfpRbtCHweRrDS7+wJNGO8W4TrBwb0Hw9ykcEAQslGy5NZlVfZt0nzMgWzanm+kQQ5ynMpfn6rkgOhc1LnXmMO/Bw4OL8pL0BXgoGudNkv8Ixu9MgH2my3Y8Hrd7OQrxwal9ULHwCALn5a+ohULseC+Mn1Ms4MJCaPUP2aPMtFj52Mqt4LJ78PASMviktgDDCQobC4cim7E2Jwsd6kRxMsOOz743YFMtwpjiNKAmHuKQb9O1UFX0cj/vHodJsYatyoa1SJoVpfbsgZ0nl3adLzIcHPfb1oNzfemlNLcKgwa+bgKD1WCub/vTllHBZLCQ60768qhEEE0LH1ShkDpdXq9OmVwIL/zdLtRAsHpmkCGewmy9TY+TB+5jQqfvtAR3dvItQ1Nyja/hfLU7gCCzE0coDNrCezrkJc8zP3UNbSE2L0eNclHm8Za//rZPFjMeuk5XsnF+8GJwn6fHDza+uOxYmo2wkZ0oyvMs/jvNwNFVeSgnu1puBY4YH6VmYoyyQuP/16cDOpys0Cz8UR8ZTSemnyWAPtB+gzlr3gE/mt0DNzi9hm2MmPwIaU/MTz0IqTsWZ2qxyPAS4/yvnAImISImxaHoM+NdwHBGOVhT+4suCGjqq0L4nPoDHJTDm2kVfjx+UIFN1S/+V/xhrarTVLP2lOYOrjspZTvSezRUTv94CiFz093PiddF/g0P87zy/Z6fHJznz06ZpseZ1mRISqTRdzQQlrg3+synpE2C9yd5+F1heVNK4IJELo0PbllEwHSb8LcIjfb8HVaL8xfKHfpr4n9zuH/789z+L/z2iHliMGQnLEdGoXd++8f/s7f+f35/8S83n8AHSoGDQ==AQAAAACAAABABgAA3AUAAA==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AQAAAACAAABABgAAFAYAAA==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AQAAAACAAABABgAAEwYAAA==eJwtk3k81AkAxY0ro1Qq18dRyaakPrnKFF7Sp5zZjUQ72orMklxDzEjIOsaRUBNJ61ixmsiVkGMcY2aYn2yULVsaol2piFzFbn32z/fPe5/Pe9/3QK+k3IHRYbGnYf6q+ZgMaJspA1rvFxr/1EiO8FPYiJsfTokJWUmYfom9EneaBHe3TcbiJRXUx5IX19jvA5GOrFmpMYuaJ0EtLxOBoHDT3dQbP4DxhoF4qgOGDz7ucc20xPDMri9/pjrjicmSc/TSadz86cX2Z9s9IDPRWaLmEQgRSzyv0UaHisnhOR4vCNK3w0jZqqFIDlrvX0wwMBo6HTvGiYapi6pi+LEYjLJGfUl5sXit22ehmcpC1Z0rkxk+qTBKfM12sUrH9aP9KwIs2ViM4MVKbczC5ZBAdYXBHDBLrPzi1HNRbhRLnH2bD+eREfUe8wKk1Fw7kZ1SiLVPDUofmJYgwj1uKVjqLmqNL766plOGAknd582a91Cxbfum6VsVaKffj3rErEL+/hD6RE01wrbIT7HMahFwYIZztuoBSPHfF3qtegjqSLCbvW8j5EJp4/eXczGXS6v8h87F8szmu/WMFmxbKJVbrGnBuSWhbcaRNoTaLhtb0uBhTr87pr6SB+Mpx4DyfB5OBZp+vEPhw2G28OILZz46aQytgRwBoi4lKZlkCjGxVYJn9HMXxj889UxhdsGzy92Ov0yEwJFj9KiTBI73P14Z6UDge7Uli6EWEQyy9FSv9YrwzV62G1NfesP+3iyCsmpFXR+dgPU58fDFeAIzWjso764SEPpesTlIECC3jc3L1ItA040pGO4TYbpxoprG7sIY5e+IobOdWLRWVHOZEGJq8B3nr/MCIHm11jkNAWxP5Hjs+8SDs4llb4QED7oN/hfGs9oRwSB96vm9FYUNXJXNTly4JTmSdt7iQm3Uf/9GyUY4PRr/LqWnDtnmj+RXuNXCu/WU9+Charz6STol60A17tp/LeQeOMGhOQpzZXjH9E6UKCrCiMBExnBvARzlNIPJ8beg69WgKmSxYS/mJNx4k4FiCiONPBsLZVp57arXUWjnp1PYoWfQuIGdJNFsDLIT3Xx+ShsKr5sveeVoY51hXsZ7DxckHHkifKl6DmRlfaa9TTiGbf4wyfCPQ1qk1+r1/WngqL+/nNzHhqC0Krk3PB/kpETTHM8CzK12TjmhUAw1+tM1k5ZlKKvcuNS1oQJNZw5fb2+rwMiy0knplvuQX/P8L6ngGhh9G6oO1NCPzvEDDxFn/nVZLmLsDYOUPzXjn4rM/gvUVmipR4e5N7VhxXpFJ20WD64uN65e8uuASDbLc1ifjxnX+Ucy0wK4L1rNj4/xcd3FSqxl1wnSb7sCg5o6UVZu5+yv0AVf8lcyCbQdvyAfNdH1f54Ior2He9KoBFg6TLX2oG58w9yGgL61kbIDrRsLadqGHLEIy6tvMzq2EogmD9RlFxGwM8v1FSoRqLpcsjmhrhM6T8ROEsmdEJEuUZifhTih+Nn/u71CHEjyHV34XQDtwNTCVe58zKaUmVfq8OGsGWQ0ENWBtfKKAXJHedjmYGtZc70Ng7/sl9bY345v0rgFHlt0nx215mK8X+4/MrnQXac9uLqkGXHHHz8cWtcAN+8j8nUNDyEg1d8wO1OLPft2Hkp9WYOzHxr1VPRqMOI+HcXgVyHXuHeLTlY5MsRDays+lkLlV8mTZjGlyF+5bWAyjYOiH88nRPaXwI9FDZCNLIJUxdN6vCjAaR87zeHpXDTOh72p/zEPQxohwdSUm7BgWwRbRmQjWlvZ4O1ONtx+iPFWtUjHUMDXQ15BZIHm7s9+ifBR+pKXpRsP7oJjgcmdGEjPPoh6dTsKn2NbQ5dpMqAH6XtUYTBmlDeop/8WgmkzAa31znlMUjQk31r74ODwyeeH1nrC85n1pnsxnmA2vyo5tssV6Ubmn8alDsCwH0quF2wRaWTgntAHsL3jSVbmezDDKt4Ry9mEbmNmpo+OQZNSqUx7MbEbazQrJXYcksVWilfKbSK8Ma5bv4XZsaIpn0K/nCBYiTwfOUdaiCQcfjl/zKZUaPEvLhz+5Q==AQAAAACAAABABgAAMAYAAA==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AQAAAACAAABABgAANwYAAA==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AQAAAACAAABABgAAlwQAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0868_Kn0p40Ma3p7/surf/geom.surf ADDED Viewed

	@@ -0,0 +1,610 @@

+# Surface element file written by SPARTA
+400 points
+200 lines
+Points
+1                  0.5                    0
+2    0.499753280182866  -0.0157053795390643
+3    0.499753280182866  -0.0157053795390643
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AQAAAACAAABAHwAAihgAAA==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AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/Lambda/Lambda_300000.pvtu ADDED Viewed

	@@ -0,0 +1,19 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/Surf.pvd ADDED Viewed

	@@ -0,0 +1,9 @@

+<?xml version="1.0"?>
+<VTKFile type="Collection" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+   <Collection>
+    <DataSet timestep="300000" group="" part="0"
+             file="Surf/Surf_300000.vtu"/>
+   </Collection>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/config.txt ADDED Viewed

	@@ -0,0 +1,78 @@

+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.4
+variable   Ma equal 3.8
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    vo equal ${Ma}*${sos}
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    fnum ${Fnum}
+timestep    ${tstep}
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_grid    ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+balance_grid  rcb cell
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+create_particles air n 0
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+write_grid    grid/final-grid.dat
+write_surf    surf/geom.surf

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/cylinder.surf ADDED Viewed

	@@ -0,0 +1,410 @@

+ surf file from Pointwise
+         200 points
+         200 lines
+ Points
+       1  0.5  0.0
+       2  0.499753280182866E+000 -0.157053795390643E-001
+       3  0.499013364214136E+000 -0.313952597646568E-001
+       4  0.497780982301540E+000 -0.470541566592573E-001
+       5  0.496057350657239E+000 -0.626666167821523E-001
+       6  0.493844170297569E+000 -0.782172325201156E-001
+       7  0.491143625364344E+000 -0.936906572928624E-001
+       8  0.487958380969374E+000 -0.109071620698271E+000
+       9  0.484291580564315E+000 -0.124344943582427E+000
+      10  0.480146842838471E+000 -0.139495553019615E+000
+      11  0.475528258147577E+000 -0.154508497187474E+000
+      12  0.470440384477113E+000 -0.169368960122646E+000
+      13  0.464888242944126E+000 -0.184062276342339E+000
+      14  0.458877312841991E+000 -0.198573945317390E+000
+      15  0.452413526233010E+000 -0.212889645782536E+000
+      16  0.445503262094184E+000 -0.226995249869774E+000
+      17  0.438153340021932E+000 -0.240876837050858E+000
+      18  0.430371013501972E+000 -0.254520707875186E+000
+      19  0.422163962751007E+000 -0.267913397489498E+000
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CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/gas.species ADDED Viewed

	@@ -0,0 +1,14 @@

+# Species data
+# species name
+# molecular weight (atomic mass units, e.g. 16 for oxygen)
+# molecular mass (kg)
+# rotational degrees of freedom (integer, unitless)
+# inverse rotational relaxtion number (unitless)
+# vibrational degrees of freedom (integer, unitless)
+# inverse vibrational relaxation number (unitless)
+# vibrational temperature (K)
+# species weight (unitless)
+# multiple of electon charge (1 for a proton)
+Ar    39.95    6.63E-26    0    0.0    0    0.0    0.0    1.0    0.0

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/gas.vhs ADDED Viewed

	@@ -0,0 +1,9 @@

+# VHS collision model parameters for each species
+# species name
+# diameter (m)
+# omega (unitless)
+# tref (referenced temperature)
+# alpha (unitless)
+Ar    4.17e-10    0.81    273    1.0

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/grid/Grid_0_300000.vtu ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/grid/Grid_1_300000.vtu ADDED Viewed

	@@ -0,0 +1,35 @@

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="1111"                 NumberOfCells="1000"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="101"                  RangeMax="11000"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.05"                 RangeMax="5.95"                 offset="2240"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.95"                RangeMax="4.95"                 offset="2388"                />
+        <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="19.142"               RangeMax="60.776"               offset="2928"                />
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+        <DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-5.4684"              RangeMax="4.674"                offset="37836"               />
+        <DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.1547"               RangeMax="0.44765"              offset="46340"               />
+        <DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="421.6"                RangeMax="629.91"               offset="54584"               />
+        <DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="58720"               />
+        <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="58784"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5"                    RangeMax="7.8102496759"         offset="58848"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="62400"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="68832"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="70680"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
+  <AppendedData encoding="base64">
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AQAAAACAAABAHwAARhwAAA==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AQAAAACAAABAHwAALRwAAA==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AQAAAACAAABAHwAAVgoAAA==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AQAAAACAAABAHwAA2BgAAA==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eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAAAUNAAAVgoAAA==eJxNm71qZFcWRivqyFlHyhw5cqbIgdqKHFXWkbOOFDnrqLMCgcFQgWFgoMwEDQOCgQkMBzZs2OrZD1B+AL2AXqBfYHx+9neWA7OSBYt7v9P1d3U4fL4/HD7n4e//bm//LX54eBL/cfmP+K/rf8WHw59wG1yD63ADboI/3/91/ZcaintDcW8o7g3FvWG7Da7BdbgBN8Gf7/+4XNRQ3BuKe0NxbyjuDdttcA2uww24Cf58//DwTzUU94bi3lDcG4p7w3YbXIPrcANugj/f397+Qw3FvaG4NxT3huLesN0G1+A63ICb4L7J39VQPDf5uxqK5yZ/V8N2G1yD63ADboL7Js9qKJ6bPKuheG7yrIbtNrgG1+EG3AT3Tf6mhuK5yd/UUDw3+ZsattvgGlyHG3AT3Df5qxqK5yZ/VUPx3OSvathug2twHW7ATXDf5KMaiucmH9VQPDf5qIbtNrgG1+EG3AT3TZ7UUDw3eVJD8dzkSQ3bbXANrsMNuAnue/ikhuK5h09qKJ57+KSG7Ta4BtfhBtwE93vxEffiI+7FR9yLj7gXH3Evym1wDa7DDbgJ7mfzFzUUz7P5ixqK59n8RQ3bbXANrsMNuAnu5+JBDcXzXDyooXieiwc1bLfBNbgON+AmuG/ygxqK5yY/qKF4bvKDGrbb4BpchxtwE9w3+bMaiucmf1ZD8dzkz2rYboNrcB1uwE1w3+R7NRTPTb5XQ/Hc5Hs1bLfBNbgON+AmuG/yqIbiucmjGornJo9q2G6Da3AdbsBNcN/kT2oonpv8SQ3Fc5M/qWG7Da7BdbgBN8F9k/dqKJ6bvFdD8dzkvRq22+AaXIcbcBPcN/mDGornJn9QQ/Hc5A9q2G6Da3AdbsBNcN/krRqK5yZv1VA8N3mrhu02uAbX4QbcBPdNfq+G4rnJ79VQPDf5vRq22+AaXIcbcBPcN/mdGornJr9TQ/Hc5Hdq2G6Da3AdbsBNcN/kt2oonpv8Vg3Fc5PfqmG7Da7BdbgBN8F9kzdqKJ6bvFFD8dzkjRq22+AaXIcbcBPcN/lWDcVzk2/VUDw3+VYN221wDa7DDbgJ7pv8Rg3Fc5PfqKF4bvIbNWy3wTW4DjfgJrhv8o0aiucm36iheG7yjRq22+AaXIcbcBPcN3lQQ/Hc5EENxXOTBzVst8E1uA434Ca47+Hr/6qheO5h8tzD5LmHyXMP5Ta4BtfhBtwE93vxqobieS9e1VA878WrGrbb4BpchxtwE9zP5osaiufZfFFD8TybL2rYboNrcB1uwE1wPxdXNRTPc3FVQ/E8F1c1bLfBNbgON+AmuG8y1VA8N5lqKJ6bTDVst8E1uA434Ca4b7Jhkw2bbNhkwyYbNtnUsF2D63ADboL7Jp+wySds8gmbfMImn7DJJzVs1+A63ICb4PF9FDZ5wSYv2OQFm7xgkxc1bNfgOtyAm+DxHQg2ecYmz9jkGZs8Y5NnNWzX4DrcgJvg8bkbmzxhkyds8oRNnrDJkxq2a3AdbsBN8Pishz08YA8P2MMD9vCAPTyoYbsG1+EG3ASPzxe4F0fciyPuxRH34oh7cVTDdg2uww24CR7vaXE2b3E2b3E2b3E2b3E2b9WwXYPrcANugsf7KJyLG5yLG5yLG5yLG5yLGzVs1+A63ICb4PHajU0esMkDNnnAJg/Y5EEN2zW4DjfgJni8XnyphuL1evGlGorX68WXathug2twHW7ATfD4N0oNxevfKDUUr3+j1LDdBtfgOtyAm+BxLnAdjrgOR1yHI67DEdfhiOtwxHU44joccR2OuA5HNFyfcS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+eq+Gw/lubPFRD8drkoRoO+u9PuA2uwXW4ATfB4zrc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc7Ybju90wee3h3W6YvPbwbjeU2+AaXIcbcBM8zoUaite5UEPxOhdq2G6Da3AdbsBN8LgXuA5XXIcrrsMV1+GK63DFdbjiOlxxHa64Dldch6sa/v7fj9VQvDb5YzUUr03+WA3bbXANrsMNuAkerxdqKF6vF2ooXq8Xathug2twHW7ATfB43VRD8XrdVEPxet1Uw3YbXIPrcANugse5UEPxOhdqKF7nQg3bbXANrsMNuAke76PUULzeR6mheL2PUsN2G1yD63ADboLH+0ls8oRNnrDJEzZ5wiZPatiuwXW4ATfB43017sUZ9+KMe3HGvTjjXpzVsF2D63ADboLHv1E4FxeciwvOxQXn4oJzcVHDdg2uww24CR6fs7CHJ+zhCXt4wh6esIcnNWzX4DrcgJvg8XkTZ7PhbDaczYaz2XA2mxq2a3AdbsBN8PjcjU0mNpnYZGKTiU2mGrZrcB1uwE3weL3AJq/Y5BWbvGKTV2zyqobtGlyHG3ATPL6HwSZfsMkXbPIFm3zBJl/UsF2D63ADboLH91HY5Cs2+YpNvmKTr9jkqxq2a3AdbsBN8PheDpv8ik1+xSa/YpNfscmvatiuwXW4ATfB47X7vhqK12v3fTUUr9fu+2rYboNrcB1uwE3w+J5WDcXre1o1FK/vadWw3QbX4DrcgJvg8X21GorX99VqKF7fV6thuw2uwXW4ATfB43t7NRSv7+3VULy+t1fDdhtcg+twA26Cx/soNRSv91FqKF7vo9Sw3QbX4DrcgJvg8TuOGorX7zhqKF6/46hhuw2uwXW4ATfB4/csNRSv37PUULx+z1LDdhtcg+twA26Cx+96aihev+upoXj9rqeG7Ta4BtfhBtwEj/e0aihe72nVULze06phuw2uwXW4ATfB43deNRSv33nVULx+51XDdhtcg+twA26Cx+/daihev3eroXj93q2G7Ta4BtfhBtwEj9/91VC8fvdXQ/H63V8N221wDa7DDbgJHp8v1FC8Pl+ooXh9vlDDdhtcg+twA26Cx3Mgaihez4GooXg9B6KG7Ta4BtfhBtwEj+dh1FC8nodRQ/F6HkYN221wDa7DDbgJHs8FqaF4PRekhuL1XJAattvgGlyHG3ATPD7rqaF4fdZTQ/H6rKeG7Ta4BtfhBtwEj+fE1FC8nhNTQ/F6TkwN221wDa7DDbgJHs/LqaF4PS+nhuL1vJwattvgGlyHG3ATPJ4bVEPxem5QDcXruUE1bLfBNbgON+AmeHzuVkPx+tythuL1uVsN221wDa7DDbgJHs+R4l484l484l484l484l6U2+AaXIcbcBM8nqdVQ/F6nlYNxet5WjVst8E1uA434CZ4PFeshuL1XLEaitdzxWrYboNrcB1uwE3w+A5EDcXrOxA1FK/vQNSw3QbX4DrcgJvg8Zy5GorXc+ZqKF7Pmathuw2uwXW4ATfB43l7NRSv5+3VULyet1fDdhtcg+twA26Cx98dqKF4/d2BGorX3x2oYbsNrsF1uAE3weP7KDUUr++j1FC8vo9Sw3YbXIPrcANugsffoaiheP0dihqK19+hqGG7Da7BdbgBN8Hj73HUULz+HkcNxevvcdSw3QbX4DrcgJvi/wOChtDFAQAAAACAAAAAfQAAxBIAAA==eJxd3UXUdQXdh2GeeOnu7u7u7u6yUaRERQVUFASURsEkDELpVmwFEQxUugQsEAxQBIOO9xt8+xqc+0z+a/3WPbqme529p5nm/39jw515uDNlHx/uLOnsE8OdNZ19crizpbNPGe7s6ezTDneOdPbphjtnOvv0w50rnX2G4c6dzj7jcOdJx4nHfMOdNzuP+dPZeSyQzs5jwXR2Hguls/NYOJ2dxyLp7DwWTWfnsVg6O7fF03HiseRwl8jOY6l0dh5Lp7PzWCadncey6ew8lktn57F8OjuPFdLZeayYzr74cFdKx4nHKsNdOTuPVdPZeayWzs5j9XR2Hmuks/NYM52dx1rp7DzWTmfnsU46O7d103Hisf5w18vOY4N0dh4bprPz2CidncfG6ew8Nkln57FpOjuPzdLZeWyezs5ti3SceGw13C2z89g6nZ3HNunsPLZNZ+exXTo7j+3T2XnskM7OY8d09s2Hu1M6O7ed03Hisetwd8nOY7d0dh67p7Pz2COdncee6ew89kpn57F3OjuPfdLZeeybzs5tv3SceLxpuPtn5/HmdHYeb0ln5/HWdHYeb0tn5/H2dHYe70hn53FAOjuPd6azc3tXOk483j3cA7PzOCidncfB6ew8Dkln53FoOjuPw9LZebwnnf2A4R6ezs7jvens3N6XjhOPI4b7/uw8PpDOzuOD6ew8PpTOzuPIdHYeR6Wz8zg6nZ3Hh9PZeXwknZ3bR9Nx4vGx4R6TncfH09l5HJvOzuO4dHYen0hn53F8OjuPE9LZeZyYzs7jk+ns3D6VjhOPk4d7UnYep6Sz8zg1nZ3HaensPE5PZ+dxRjr7CcM9M52dx6fT2Xl8Jp2d21npOPH47HDPzs7jc+nsPD6fzs7jC+nsPL6Yzs7jS+nsPM5JZ+dxbjo7j/PS2bmdn44Tj68M98vZeXw1nZ3H19LZeVyQzs7jwnR2Hhels/O4OJ2dx9fT2Xl8I52d2yXpOPG4bLiXZudxeTo7jyvS2Xlcmc7O46p09ouGe3U6O49r0tl5XJvOzuO6dHZu16fjxOObw70hO49vpbPzuDGdnce309l5fCedncd309l5fC+dncf309l5/CCdndsP03Hi8ePh/ig7j5vS2XncnM7O4yfp7DxuSWfn8dN0dh63prPzuC2dncfP0tm5/TwdJx6/HO4vsvO4PZ2dx6/S2Xn8Op39luH+Jp2dxx3p7DzuTGfncVc6O4+709m53ZOOE4/7hntvdh73p7PzeCCdnceD6ew8Hkpn5/HbdHYeD6ez83gknZ3Ho+ns3H6XjhOPPwz399l5/DGdncef0tl5PJbOzuPxdHYef05n5/FEOjuPJ9PZefwlnZ3bX9Nx4vH34f4tO4+n0tl5PJ3O/thw/5HOzuOf6ew8nkln5/GvdHYez6az83gunZ3bv9Nx4vHf4f4nO4//pbPzeD6dnccL6ew8Xkxn5/FSOjuPl9PZebySzs7j1XR2bq+l48TjjeG+np3H1HR2Hh7YTc3OY2xstLPzGB8b7ew8JsZGOzuPybHRzs5jythoZ+cx7dhoZ+c23dhox4nHDMM+/djozmPGsdHOzmOmsdFumnjMnG4sHrOkG4/HrOkm4jFbusl4zJ5uSjzmSGfnNmc6TjzmHu5c2XnMk87OY950dh7zpbPzmD+dnccC6ew8Fkxn57FQOjuPhdPZuS2SjhOPxYa7aHYei6ez81ginZ3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dm7Lp+PEY8XhrpCdx0rp7DxWTmfnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3bWuk48VhnuGtn57FuOjuP9dLZeayfzs5jg3R2Hhums/PYKJ2dx8bp7Dw2SWfntmk6Tjw2H+5m2Xlskc7OY8t0dh5bpbPz2Dqdncc26ew8tk1n57FdOjuP7dPZue2QjhOPnYa7Y3YeO6ez89glnZ3HrunsPHZLZ+exezo7jz3S2Xnsmc7OY690dm57p+PEY9/h7pOdx37p7Dz2T2fn8aZ0dh5vTmfn8ZZ0dh5vTWfn8bZ0dh5vT2fn9o50nHi8c7gHZOfxrnR2Hgems/N4dzo7j4PS2XkcnM7O45B0dh6HprPzOCydndt70nHi8d7hHp6dx/vS2Xm8P52dxxHp7Dw+kM7O44Pp7Dw+lM7O48h0dh5HpbNzOzodJx4fGe6Hs/P4aDo7j2PS2Xl8LJ2dx8fT2Xkcm87O47h0dh6fSGfncXw6O7cT0nHi8cnhnpidx6fS2XmclM7O4+R0dh6npLPzODWdncdp6ew8Tk9n53FGOju3M9Nx4vGZ4X46O4+z0tl5nJ3OzuOz6ew8PpfOzuPz6ew8vpDOzuOL6ew8vpTOzu2cdJx4nDfcc7PzOD+dnceX09l5fCWdncdX09l5fC2dnccF6ew8Lkxn53FROju3i9Nx4vGN4X49O49L0tl5XJrOzuOydHYel6ez87ginZ3HlensPK5KZ+dxdTo7t2vSceJx3XCvzc7j+nR2Hjeks/P4Zjo7j2+ls/O4MZ2dx7fT2Xl8J52dx3fT2bl9Lx0nHj8Y7vez8/hhOjuPH6Wz8/hxOjuPm9LZedyczs7jJ+nsPG5JZ+fx03R2brem48TjZ8O9LTuPn6ez8/hFOjuPX6az87g9nZ3Hr9LZefw6nZ3Hb9LZedyRzs7tznSceNw93Luy87gnnZ3HvensPO5LZ+dxfzo7jwfS2Xk8mM7O46F0dh6/TWfn9nA6TjweHe4j2Xn8Lp2dx+/T2Xn8IZ2dxx/T2Xn8KZ2dx2Pp7DweT2fn8ed0dm5PpOPE4y/DfTI7j7+ms/P4Wzo7j7+ns/N4Kp2dx9Pp7Dz+kc7O45/p7DyeSWfn9q90nHg8N9xns/P4dzo7j/+ks/P4bzo7j/+ls/N4Pp2dxwvp7DxeTGfn8VI6O7eX03Hi8epwX8nO47V0dh6vp7PzeCOdncfUdHYe/rA4NTuPsfHR7oV4jI+Pdi/GY2J8tHspbpPjo90r8Zh22KeMj+48phsf7V6Lx/Tjo93r8ZhhfLR7I24zjo92U+M20/hoN008Zk43Fo9Z0o3HY9Z0dm6zpZsSjzmGO3t2HnOmmy4ec6Wz85g7nZ3HPOnsPOZNZ+cxXzo7j/nT2XkskM7ObcF0nHgsPNyFsvNYJJ2dx6Lp7DwWS2fnsXg6O48l0tl5LJnOzmOpdHYeS6ezc1smHSceyw132ew8lk9n57FCOjuPFdPZeayUzs5j5XR2Hquks/NYNZ2dx2rp7NxWT8eJx5rDXSM7j7XS2Xmsnc7OY510dh7rprPzWC+dncf66ew8Nkhn57FhOju3jdJx4rHJcDfOzmPTdHYem6Wz89g8nZ3HFunsPLZMZ+exVTo7j63T2Xlsk87Obdt0nHhsP9ztsvPYIZ2dx47p7Dx2SmfnsXM6O49d0tl57JrOzmO3dHYeu6ezc9sjHSceew13z+w89k5n57FPOjuPfdPZeeyXzs5j/3R2Hm9KZ+fx5nR2Hm9JZ+f21nSceLx9uG/LzuMd6ew8Dkhn5/HOdHYe70pn53FgOjuPd6ez8zgonZ3Hwens3A5Jx4nHYcM9NDuP96Sz8zg8nZ3He9PZebwvnZ3H+9PZeRyRzs7jA+nsPD6Yzs7tQ+k48ThquEdm53F0OjuPD6ez8/hIOjuPj6az8zgmnZ3Hx9LZeXw8nZ3Hsens3I5Lx4nH8cP9RHYeJ6Sz8zgxnZ3HJ9PZeXwqnZ3HSensPE5OZ+dxSjo7j1PT2bmdlo4TjzOGe3p2Hmems/P4dDo7j8+ks/M4K52dx9np7Dw+m87O43Pp7Dw+n87O7QvpOPH40nC/mJ3HOensPM5NZ+dxXjo7j/PT2Xl8OZ2dx1fS2Xl8NZ2dx9fS2bldkI4Tj4uGe2F2Hhens/P4ejo7j2+ks/O4JJ2dx6Xp7DwuS2fncXk6O48r0tm5XZmOE4+rh3tVdh7XpLPzuDadncd16ew8rk9n53FDOjuPb6az8/hWOjuPG9PZuX07HSce3x3ud7Lz+F46O4/vp7Pz+EE6O48fprPz+FE6O48fp7PzuCmdncfN6ezcfpKOE4+fDveW7DxuTWfncVs6O4+fpbPz+Hk6O49fpLPz+GU6O4/b09l5/Cqdnduv03Hiccdwf5Odx53p7DzuSmfncXc6O4970tl53JvOzuO+dHYe96ez83ggnZ3bg+k48fjtcB/KzuPhdHYej6Sz83g0nZ3H79LZefw+nZ3HH9LZefwxnZ3Hn9LZuT2WjhOPPw/38ew8nkhn5/FkOjuPv6Sz8/hrOjuPv6Wz8/h7OjuPp9LZeTydzs7tH+k48XhmuP/MzuNf6ew8nk1n5/FcOjuPf6ez8/hPOjuP/6az8/hfOjuP59PZub2QjhOPl4b7YnYeL6ez83glnZ3Hq+nsPF5LZ+fxejo7jzfS2XlMTWfn4YWtU7NzG5sY7V6Mx8Swj0+M7jwmJ0a7l+MxZWK0eyUe006Mdq/GY7qJ0e61eEw/Mdq9Ho8ZJka7N+I248RoNzVuM02MdnZuM6cbj8esw50lO4/Z0k3GY/Z0U+IxR7pp4zFnuuniMVc6O4+509l5zJPOzmPedHZu86XjxGOB4c6fnceC6ew8Fkpn57FwOjuPRdLZeSyazs5jsXR2Houns/NYIp2d25LpOPFYerhLZeexTDo7j2XT2Xksl87OY/l0dh4rpLPzWDGdncdK6ew8Vk5n57ZKOk48Vhvuqtl5rJ7OzmONdHYea6az81grnZ3H2unsPNZJZ+exbjo7j/XS2bmtn44Tjw2Hu0F2Hhuls/PYOJ2dxybp7Dw2TWfnsVk6O4/N09l5bJHOzmPLdHZuW6XjxGOb4W6dnce26ew8tktn57F9OjuPHdLZeeyYzs5jp3R2Hjuns/PYJZ2d267pOPHYfbi7ZeexRzo7jz3T2Xnslc7OY+90dh77pLPz2Dedncd+6ew89k9n5/amdJx4vGW4b87O463p7Dzels7O4+3p7Dzekc7O44B0dh7vTGfn8a50dh4HprNze3c6TjwOHu5B2Xkcks7O49B0dh6HpbPzeE86O4/D09l5vDedncf70tl5vD+dndsR6Tjx+OBwP5Cdx4fS2Xkcmc7O46h0dh5Hp7Pz+HA6O4+PpLPz+Gg6O49j0tm5fSwdJx7HDvfj2Xkcl87O4xPp7DyOT2fncUI6O48T09l5fDKdncen0tl5nJTOzu3kdJx4nDrcU7LzOC2dncfp6ew8zkhn53FmOjuPT6ez8/hMOjuPs9LZeZydzs7ts+k48fj8cD+XnccX0tl5fDGdnceX0tl5nJPOzuPcdHYe56Wz8zg/nZ3Hl9PZuX0lHSceXxvuV7PzuCCdnceF6ew8Lkpn53FxOjuPr6ez8/hGOjuPS9LZeVyazs7tsnSceFwx3Muz87gynZ3HVensPK5OZ+dxTTo7j2vT2Xlcl87O4/p0dh43pLNz+2Y6TjxuHO63svP4djo7j++ks/P4bjo7j++ls/P4fjo7jx+ks/P4YTo7jx+ls3P7cTpOPG4e7k3ZefwknZ3HLensPH6azs7j1nR2Hrels/P4WTo7j5+ns/P4RTo7t1+m48TjV8O9PTuPX6ez8/hNOjuPO9LZedyZzs7jrnR2Hnens/O4J52dx73p7NzuS8eJxwPDvT87jwfT2Xk8lM7O47fp7DweTmfn8Ug6O49H09l5/C6dncfv09m5/SEdJx5/Gu4fs/N4LJ2dx+Pp7Dz+nM7O44l0dh5PprPz+Es6O4+/prPz+Fs6O7e/p+PE4+nhPpWdxz/S2Xn8M52dxzPp7Dz+lc7O49l0dh7PpbPz+Hc6O4//pLNz+286TjyeH+7/svN4IZ2dx4vp7DxeSmfn8XI6O49X0tl5vJrOzuO1dHYer6ezc3sjHScePkg5NTuPscnR7oV4jE+Odi/GY2JytHspHpOTo93L8ZgyOdq9Eo9pJ0e7V+Mx3eRo91o8pp8c7V6P2wyTo93UuM003BnjxGPmdGPxmCXdeDxmTTcRj9nSTcZj9nRT4jFHumnjMWc6O4+50tm5zZ2OE495hztPdh7zpbPzmD+dnccC6ew8Fkxn57FQOjuPhdPZeSySzs5j0XR2boul48RjieEunp3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dh7Lp7PzWCGdnduK6TjxWHm4K2XnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3HWunsPNZOZ+e2TjpOPNYb7rrZeayfzs5jg3R2Hhums/PYKJ2dx8bp7Dw2SWfnsWk6O4/N0tm5bZ6OE48th7tFdh5bpbPz2Dqdncc26ew8tk1n57FdOjuP7dPZeeyQzs5jx3R2bjul48Rjl+HunJ3HrunsPHZLZ+exezo7jz3S2Xnsmc7OY690dh57p7Pz2Cedndu+6f4PYjaGvg==AQAAAACAAABAHwAAWAUAAA==eJw12RGjMoDBBeC7b+1b29oWBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQXLgQBEEQBEEQBEEQDO7zHnl+wzkn8PWbIEMMM8IoY4wzwSRTTDPDLHPMs8AiSyyzwiprrLPBJltss8Mue+xzwCFHHHPCKWecc8ElV1xzwy133PObPzzwyBPPvPDKG+988MkX3/zw6y+/BBhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWPfQ445IhjTjjljHMuuOSKa2645Y57fvOHBx554pkXXnnjnQ8++eKbH3793y8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw454pgTTjnjnAsuueKaG265457f/OGBR5545oVX3njng0+++OaHX3/9JcAgQwwzwihjjDPBJFNMM8Msc8yzwCJLLLPCKmuss8EmW2yzwy577HPAIUccc8IpZ5xzwSVXXHPDLXfc85s/PPDIE8+88Mob73zwyRff/PArAAYZYpgRRhljnAkmmWKaGWaZY54FFllimRVWWWOdDTbZYpsddtljnwMOOeKYE04545wLLrnimhtuueOe3/zhgUeeeOaFV95454NPvvjmh19/+yXAIEMMM8IoY4wzwSRTTDPDLHPMs8AiSyyzwiprrLPBJltss8Mue+xzwCFHHHPCKWecc8ElV1xzwy133PObPzzwyBPPvPDKG+988MkX3/zw6/9/CTDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyBHHnHDKGedccMkV19xwyx33/OYPDzzyxDMvvPLGOx988sU3P/z6+y8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw454pgTTjnjnAsuueKaG265457f/OGBR5545oVX3njng0+++OaHfwp/gEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhng0222GaHXfbY54BDjjjmhFPOOOeCS6645oZb7rjnN3944JEnnnnhlTfe+eCTL775+TP0/OOXAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ233HHPb/7wwCNPPPPCK2+888EnX3zzw69//hJgkCGGGWGUMcaZYJIppplhljnmWWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654ZY77vnNHx545IlnXnjljXc++OSLb3749a9fAgwyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMiusssY6G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9v/nDA4888cwLr7zxzgeffPHND/8M/QEGGWKYEUYZY5wJJplimhlmmWOeBRZZYpkVVlljnQ022WKbHXbZY58DDjnimBNOOeOcCy654pobbrnjnt/84YFHnnjmhVfeeOeDT7745ufPwfPvXwIMMsQwI4wyxjgTTDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU33HLHPb/5wwOPPPHMC6+88c4Hn3zxzQ+//vNLgEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhng0222GaHXfbY54BDjjjmhFPOOOeCS6645oZb7rjnN3944JEnnnnhlTfe+eCTL7754dd/fwkwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDLHvsccMgRx5xwyhnn/B8XZAIWAQAAAACAAADoAwAAEQAAAA==eJzj5BwFo2AUDHcAAMOYIyk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/grid/Grid_300000.pvtu ADDED Viewed

	@@ -0,0 +1,27 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="f_1[1]"/>
+<PDataArray type="Float64" Name="f_1[2]"/>
+<PDataArray type="Float64" Name="f_1[3]"/>
+<PDataArray type="Float64" Name="f_1[4]"/>
+<PDataArray type="Float64" Name="f_1[5]"/>
+<PDataArray type="Float64" Name="f_1[6]"/>
+<PDataArray type="Float64" Name="f_1[7]"/>
+<PDataArray type="Float64" Name="f_1[8]"/>
+<PDataArray type="Float64" Name="f_1[9]"/>
+<PDataArray type="Float64" Name="f_1[10]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Grid_0_300000.vtu"/>
+<Piece Source="Grid_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/grid/final-grid.dat ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/log.sparta ADDED Viewed

	@@ -0,0 +1,318 @@

+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    R equal 1.380649e-23/${molecular_mass}
+variable    R equal 1.380649e-23/6.63e-26
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.4
+variable   Ma equal 3.8
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    mfp equal 0.4*${L}
+variable    mfp equal 0.4*1
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*0.4)
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    sos equal sqrt(1.666666667*${R}*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*273)
+variable    vo equal ${Ma}*${sos}
+variable    vo equal 3.8*${sos}
+variable    vo equal 3.8*307.815564238681
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vx equal 1169.69914410699*cos(${theta}*2*PI/360)
+variable    vx equal 1169.69914410699*cos(0*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    vy equal 1169.69914410699*sin(${theta}*2*PI/360)
+variable    vy equal 1169.69914410699*sin(0*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/0.4*${cpmfp}
+variable    xncells equal (6--5)/0.4*4
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/0.4*${cpmfp}
+variable    yncells equal (5--5)/0.4*4
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/100
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/1169.69914410699/${xncells}/10/4
+variable    tstep equal (--5+6)/1169.69914410699/110/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+Running on 128 MPI task(s)
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    nrho 3.23595913252916e+19
+global    fnum ${Fnum}
+global    fnum 1.07865304417639e+16
+timestep    ${tstep}
+timestep    2.13730172634146e-06
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 -5 ${ymax} -0.5 0.5
+create_box    -5 6 -5 5 -0.5 0.5
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+create_grid    ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    110 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    110 100 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+Created 48572 child grid cells
+  CPU time = 0.0826891 secs
+  create/ghost percent = 1.37845 98.6216
+balance_grid  rcb cell
+Balance grid migrated 48478 cells
+  CPU time = 0.128249 secs
+  reassign/sort/migrate/ghost percent = 76.8856 0.0262147 5.98512 17.1031
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1169.69914410699 ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1169.69914410699 0 0.0 temp ${To}
+mixture   air Ar vstream 1169.69914410699 0 0.0 temp 273
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  43392 4856 324 = cells outside/inside/overlapping surfs
+  324 = surf cells with 1,2,etc splits
+  109.215 109.215 = cell-wise and global flow volume
+  CPU time = 0.0975523 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 24.2162 24.5333 3.3021 26.8646 21.0838 6.7678 0.137587
+  surf2grid time = 0.026207 secs
+  map/comm1/comm2/comm3/comm4/split percent = 11.4842 21.4916 3.37591 1.48101 10.0215 6.00023
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+Balance grid migrated 1125 cells
+  CPU time = 0.0326813 secs
+  reassign/sort/migrate/ghost percent = 8.41077 0.0850641 32.7203 58.7839
+create_particles air n 0
+Created 327644 particles
+  CPU time = 0.0114594 secs
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.59521 0 1.6875
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.37473 3.22189 6.03439
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0   327644        0        0        0            0            0
+   10000    9.4874764   364669     6036     5201       10    347706.48      10.9075
+   20000    20.234157   365224     6026     5246        8    356530.68     11.02065
+   30000    30.873641   365114     6022     5183       11    359372.48    11.030867
+   40000    40.656125   366030     5991     5142       11    360938.78     11.03815
+   50000    50.803034   365832     6003     5162       13     361911.9     11.04168
+   60000    61.774414   365293     5999     5177        9     362458.8    11.051067
+   70000    71.606421   365787     6107     5237       13    362888.67      11.0575
+   80000    82.354847   365404     5995     5170       15    363223.19     11.05935
+   90000    93.120274   365245     6096     5271       12    363476.21    11.066433
+  100000    102.75221   365711     6137     5262        4    363662.01     11.06958
+  110000    112.79066   365650     6096     5273       22    363852.95    11.075291
+  120000    123.44275   365853     5969     5107       19    364056.61    11.080875
+  130000    133.17427   365117     5966     5066        8    364170.46    11.079131
+  140000     143.8205   365024     6013     5155       16    364255.09      11.0837
+  150000    154.57363   366037     6063     5196       11    364334.98    11.081953
+  160000    164.33549   365476     6048     5190        9     364409.4    11.081169
+  170000    174.35613   365337     6071     5220       10    364474.87    11.089224
+  180000    185.87822   365466     6001     5191       11    364530.99    11.090389
+  190000    195.85449   365636     5999     5164       12    364575.21    11.090279
+  200000    206.23288   365602     6049     5192        6    364622.33     11.08902
+Loop time of 206.233 on 128 procs for 200000 steps with 365602 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.022588   | 8.9374     | 53.853     | 385.5 |  4.33
+Coll    | 0.25592    | 7.8022     | 56.541     | 371.7 |  3.78
+Sort    | 0.085765   | 1.45       | 9.1294     | 158.7 |  0.70
+Comm    | 50.864     | 85.804     | 96.207     |  92.4 | 41.61
+Modify  | 0.017721   | 0.10325    | 1.9575     |  89.3 |  0.05
+Output  | 0.0052444  | 0.0077558  | 0.010524   |   0.9 |  0.00
+Other   |            | 102.1      |            |       | 49.52
+Particle moves    = 72924466214 (72.9B)
+Cells touched     = 76302482218 (76.3B)
+Particle comms    = 180254298 (180M)
+Boundary collides = 0 (0K)
+Boundary exits    = 17644910 (17.6M)
+SurfColl checks   = 124159465 (124M)
+SurfColl occurs   = 2217804 (2.22M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 1344238281 (1.34B)
+Collide occurs    = 1052000069 (1.05B)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 2.76251e+06
+Particle-moves/step: 364622
+Cell-touches/particle/step: 1.04632
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00247179
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000241961
+Surface-checks/particle/step: 0.00170258
+Surface-collisions/particle/step: 3.04123e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0184333
+Collisions/particle/step: 0.0144259
+Reactions/particle/step: 0
+Particles: 2856.27 ave 18876 max 0 min
+Histogram: 84 14 6 6 8 5 1 0 1 3
+Cells:      379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump         1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 10000 c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump         2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump         3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.66113 0 3.375
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.56829 3.34929 6.16229
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0   365602     6049     5192        0            0            0
+  210000    18.183322   365427     6072     5212        9     365652.3      11.0916
+  220000    36.894324   365137     6071     5191       20     365508.1     11.09955
+  230000     54.82409   365279     6070     5268        7    365484.98      11.1042
+  240000    73.388873   365145     6080     5271       24    365496.87      11.0858
+  250000    90.839249   364779     6105     5247       14    365416.23     11.08672
+  260000     109.4111   364933     6038     5167        8    365401.96     11.08665
+  270000    128.16077   365554     6006     5230       14    365410.25      11.0848
+  280000    145.61675   366193     6002     5114        8    365467.36    11.092263
+  290000      163.677   365536     5929     5067        9    365473.78    11.093789
+  300000    181.77901   365872     5944     5086       10    365465.31     11.09713
+Loop time of 181.78 on 128 procs for 100000 steps with 365872 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.011473   | 4.5054     | 27.235     | 272.9 |  2.48
+Coll    | 0.12724    | 3.9271     | 28.893     | 264.9 |  2.16
+Sort    | 0.047894   | 0.73576    | 4.6318     | 112.4 |  0.40
+Comm    | 29.73      | 46.97      | 52.137     |  61.4 | 25.84
+Modify  | 1.7672     | 12.44      | 70.974     | 420.8 |  6.84
+Output  | 0.038745   | 0.040127   | 0.043242   |   0.5 |  0.02
+Other   |            | 113.2      |            |       | 62.25
+Particle moves    = 36546531164 (36.5B)
+Cells touched     = 38238387312 (38.2B)
+Particle comms    = 90259302 (90.3M)
+Boundary collides = 0 (0K)
+Boundary exits    = 8841471 (8.84M)
+SurfColl checks   = 62172879 (62.2M)
+SurfColl occurs   = 1109713 (1.11M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 675728849 (676M)
+Collide occurs    = 528807711 (529M)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.57069e+06
+Particle-moves/step: 365465
+Cell-touches/particle/step: 1.04629
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00246971
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000241924
+Surface-checks/particle/step: 0.0017012
+Surface-collisions/particle/step: 3.03644e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0184895
+Collisions/particle/step: 0.0144694
+Reactions/particle/step: 0
+Particles: 2858.38 ave 18493 max 0 min
+Histogram: 83 15 7 5 8 4 2 0 0 4
+Cells:      379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+write_grid    grid/final-grid.dat
+  grid cells = 48572
+  CPU time = 0.0111365 secs
+write_surf    surf/geom.surf
+  surf elements = 200
+  CPU time = 0.00155675 secs

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/mir.txt ADDED Viewed

	@@ -0,0 +1,3 @@

+dimension     2
+create_box    -5.0 6.0 -5.0 5.0 -0.5 0.5
+read_grid     grid/final-grid.dat

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/output/grid.300000.dat ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/output/lambdakn.300000.dat ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/output/surf.300000.dat ADDED Viewed

	@@ -0,0 +1,209 @@

+ITEM: TIMESTEP
+300000
+ITEM: NUMBER OF SURFS
+200
+ITEM: BOX BOUNDS oo oo pp
+-5 6
+-5 5
+-0.5 0.5
+ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
+1          0.5            0      0.49975    -0.015705      0.00215     0.029258    -0.029254   0.00045956   7.0747e-06   0.00045035   -0.0004594   1.4292e-05       3.3122            0            0
+129     -0.31871      0.38526     -0.30645      0.39508      0.09097       1.4112      0.88237      -1.1014      0.23332      0.18692     0.017524    -0.014364       268.75            0            0
+2      0.49975    -0.015705      0.49901    -0.031395      0.00205     0.027469    -0.027439     0.001294   6.0662e-05    0.0012863  -0.00043004    4.053e-05       2.0116            0            0
+130     -0.30645      0.39508     -0.29389      0.40451      0.08725       1.3631      0.81842        -1.09      0.24439       0.1835     0.016694    -0.014239       273.24            0            0
+3      0.49901    -0.031395      0.49778    -0.047054      0.00189     0.026683    -0.026601    0.0020935   4.7193e-06   5.9964e-05  -0.00041776   3.3826e-05       4.1702            0            0
+131     -0.29389      0.40451     -0.28104      0.41354      0.08219       1.2665      0.72825      -1.0362      0.25158      0.17682     0.015391    -0.013498        254.3            0            0
+4      0.49778    -0.047054      0.49606    -0.062667      0.00185     0.026668    -0.026507    0.0029264   1.2893e-06   1.1678e-05  -0.00041634    4.615e-05       3.7125            0            0
+132     -0.28104      0.41354     -0.26791      0.42216      0.07823        1.206      0.66215       -1.008      0.23734       0.1559     0.014129    -0.013385       236.39            0            0
+5      0.49606    -0.062667      0.49384    -0.078217      0.00173     0.023642    -0.023406    0.0033312  -0.00010955  -0.00076975  -0.00036937   4.0234e-05       2.5919            0            0
+133     -0.26791      0.42216     -0.25452      0.43037      0.07771       1.1984      0.62614      -1.0218      0.24235      0.14851     0.013642    -0.013717       233.71            0            0
+6      0.49384    -0.078217      0.49114    -0.093691      0.00185     0.025699    -0.025316    0.0044184  -9.3886e-05  -0.00053794  -0.00039912   6.0951e-05       3.5102            0            0
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+184      0.43037      0.25452      0.43815      0.24088      0.00176     0.022931    -0.019918    -0.011361    0.0038731   -0.0067903  -0.00025203  -0.00028511       4.6639            0            0
+57    -0.093691     -0.49114     -0.10907     -0.48796      0.03906      0.58852      0.11934      0.57629      0.22111     -0.04579    0.0053476    0.0083327       127.96            0            0
+185      0.43815      0.24088       0.4455        0.227      0.00162     0.019701    -0.017411   -0.0092187    0.0024868   -0.0046967  -0.00023442  -0.00021857       2.9829            0            0
+58     -0.10907     -0.48796     -0.12434     -0.48429      0.04164      0.62089      0.14494      0.60374      0.22487    -0.053987    0.0058088    0.0086351       124.82            0            0
+186       0.4455        0.227      0.45241      0.21289       0.0016     0.021546    -0.019349   -0.0094789    0.0019563   -0.0039932  -0.00027319  -0.00021161       3.1705            0            0
+59     -0.12434     -0.48429      -0.1395     -0.48015      0.04464      0.67697      0.17863      0.65298      0.23284    -0.063697    0.0064631     0.009256        142.6            0            0
+187      0.45241      0.21289      0.45888      0.19857      0.00133     0.018044    -0.016445   -0.0074252   0.00049554   -0.0010975  -0.00025052  -0.00013387       2.0743            0            0
+60      -0.1395     -0.48015     -0.15451     -0.47553      0.04845      0.72813       0.2141      0.69594      0.23729    -0.072999    0.0070901    0.0097848       153.43            0            0
+188      0.45888      0.19857      0.46489      0.18406      0.00146     0.019574    -0.018084   -0.0074907   0.00074806    -0.001806   -0.0002723  -0.00014603        3.129            0            0
+61     -0.15451     -0.47553     -0.16937     -0.47044      0.05094      0.77191      0.25004      0.73029      0.23963    -0.082043    0.0076913     0.010182       160.38            0            0
+189      0.46489      0.18406      0.47044      0.16937      0.00169     0.021819     -0.02041   -0.0077123    0.0012592   -0.0033323  -0.00030081  -0.00017348       3.2618            0            0
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+64     -0.19857     -0.45888     -0.21289     -0.45241       0.0596      0.91447      0.37632      0.83345       0.2478     -0.11189    0.0098032     0.011334       184.81            0            0
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+65     -0.21289     -0.45241       -0.227      -0.4455      0.06457      0.98734      0.43437      0.88666      0.24601     -0.12052     0.010687     0.012034       199.69            0            0
+193      0.48429      0.12434      0.48796      0.10907      0.00178     0.023448    -0.022801   -0.0054739   5.7932e-05  -0.00024131  -0.00035723  -8.9771e-05       3.2082            0            0
+66       -0.227      -0.4455     -0.24088     -0.43815      0.06743       1.0376      0.48552      0.91698      0.25489     -0.13496      0.01163     0.012283       206.64            0            0
+194      0.48796      0.10907      0.49114     0.093691      0.00178     0.025997    -0.025456   -0.0052718  -8.5032e-05    0.0004106  -0.00040119  -7.6356e-05       3.2291            0            0
+67     -0.24088     -0.43815     -0.25452     -0.43037      0.07149       1.1058       0.5479      0.96057      0.26089     -0.14881     0.012704     0.012751       218.05            0            0
+195      0.49114     0.093691      0.49384     0.078217      0.00177     0.023881    -0.023526   -0.0041059   3.4898e-05  -0.00019995  -0.00036898  -6.7634e-05       2.5905            0            0
+68     -0.25452     -0.43037     -0.26791     -0.42216       0.0759       1.1759      0.61443       1.0027      0.26548     -0.16269     0.013821     0.013194       238.81            0            0
+196      0.49384     0.078217      0.49606     0.062667      0.00173       0.0251     -0.02485   -0.0035366  -8.7294e-05   0.00061336  -0.00039169  -4.5916e-05       2.8117            0            0
+69     -0.26791     -0.42216     -0.28104     -0.41354      0.08021       1.2365      0.67886       1.0335      0.24756     -0.16262     0.014552     0.013679       243.58            0            0
+197      0.49606     0.062667      0.49778     0.047054      0.00182     0.025526    -0.025371    -0.002801    0.0003778    -0.003422  -0.00039258  -9.7747e-05       2.5473            0            0
+70     -0.28104     -0.41354     -0.29389     -0.40451      0.08361       1.2946      0.74443       1.0592      0.23176     -0.16288     0.015333     0.014079       246.91            0            0
+198      0.49778     0.047054      0.49901     0.031395      0.00182     0.025018    -0.024941   -0.0019629  -5.1458e-05   0.00065383  -0.00039257  -2.0562e-05       3.2361            0            0
+71     -0.29389     -0.40451     -0.30645     -0.39508      0.08914       1.3841      0.83106       1.1069      0.23597     -0.17717      0.01676     0.014603       265.35            0            0
+199      0.49901     0.031395      0.49975     0.015705       0.0019     0.027445    -0.027414   -0.0012928  -1.2427e-05   0.00026351   -0.0004308  -1.6168e-05       3.3254            0            0
+72     -0.30645     -0.39508     -0.31871     -0.38526      0.09197       1.4184      0.88684        1.107       0.2333     -0.18691     0.017594     0.014451        281.7            0            0
+200      0.49975     0.015705          0.5            0      0.00202     0.029176    -0.029172  -0.00045828  -4.9144e-06   0.00031284   -0.0004583  -2.2845e-06       4.7407            0            0
+73     -0.31871     -0.38526     -0.33066     -0.37506      0.09631       1.4945      0.97061       1.1364      0.23441     -0.20021     0.018928     0.014706       290.38            0            0
+74     -0.33066     -0.37506     -0.34227     -0.36448       0.0989       1.5285       1.0287       1.1305      0.22372     -0.20357     0.019672      0.01456       289.98            0            0
+75     -0.34227     -0.36448     -0.35355     -0.35355      0.10399        1.614       1.1232        1.159      0.22291     -0.21601     0.021143     0.014812       302.58            0            0
+76     -0.35355     -0.35355     -0.36448     -0.34227       0.1078       1.6823       1.2081       1.1707       0.2172     -0.22413     0.022388     0.014869       330.04            0            0
+77     -0.36448     -0.34227     -0.37506     -0.33066       0.1132       1.7631        1.304       1.1866      0.20006     -0.21987     0.023626     0.015185       334.48            0            0
+78     -0.37506     -0.33066     -0.38526     -0.31871      0.11732       1.8393       1.3986       1.1945      0.20314     -0.23785     0.025159     0.015027       346.76            0            0
+79     -0.38526     -0.31871     -0.39508     -0.30645      0.12109        1.888       1.4734       1.1805      0.18528     -0.23127     0.026054     0.014909       353.06            0            0
+80     -0.39508     -0.30645     -0.40451     -0.29389      0.12481       1.9536       1.5623        1.173      0.16937     -0.22558       0.0272     0.014881       364.91            0            0
+81     -0.40451     -0.29389     -0.41354     -0.28104      0.13043       2.0429       1.6714       1.1747      0.16239     -0.23106     0.028804     0.014822       382.18            0            0
+82     -0.41354     -0.28104     -0.42216     -0.26791       0.1333         2.07       1.7301       1.1365      0.14667     -0.22329      0.02948     0.014344       385.78            0            0
+83     -0.42216     -0.26791     -0.43037     -0.25452      0.13628       2.1334        1.819       1.1147      0.14198      -0.2317     0.030802     0.013869       398.91            0            0
+84     -0.43037     -0.25452     -0.43815     -0.24088      0.14323       2.2352       1.9415       1.1074      0.12391     -0.21723     0.032443     0.013983       423.46            0            0
+85     -0.43815     -0.24088      -0.4455       -0.227      0.14297       2.2231       1.9647       1.0403      0.11083     -0.20932     0.032601     0.013052       401.13            0            0
+86      -0.4455       -0.227     -0.45241     -0.21289      0.14766       2.3101       2.0746       1.0163      0.10577     -0.21589     0.034247     0.012573       434.69            0            0
+87     -0.45241     -0.21289     -0.45888     -0.19857      0.15301       2.3815       2.1705      0.98004     0.090594     -0.20064     0.035516     0.012242       437.41            0            0
+88     -0.45888     -0.19857     -0.46489     -0.18406      0.15328       2.4115        2.228      0.92285      0.08441     -0.20378     0.036321     0.011295       444.79            0            0
+89     -0.46489     -0.18406     -0.47044     -0.16937      0.15826       2.4796       2.3195      0.87647     0.068443     -0.18113     0.037508     0.010922       456.34            0            0
+90     -0.47044     -0.16937     -0.47553     -0.15451      0.16072       2.5112       2.3758      0.81342     0.057722     -0.16859     0.038224     0.010129       457.55            0            0
+91     -0.47553     -0.15451     -0.48015      -0.1395      0.16308       2.5457       2.4331      0.74853     0.039589     -0.12868      0.03884    0.0097361       471.79            0            0
+92     -0.48015      -0.1395     -0.48429     -0.12434       0.1659       2.5921       2.5002      0.68397     0.040339     -0.14745     0.039905    0.0084273       463.68            0            0
+93     -0.48429     -0.12434     -0.48796     -0.10907      0.16674       2.6008        2.529      0.60715     0.028977      -0.1207     0.040179    0.0076409        461.4            0            0
+94     -0.48796     -0.10907     -0.49114    -0.093691      0.16887       2.6647       2.6094      0.54037      0.02702     -0.13047      0.04141    0.0064384       492.76            0            0
+95     -0.49114    -0.093691     -0.49384    -0.078217      0.17112       2.6762       2.6364      0.46012     0.015613    -0.089461     0.041655     0.005822          484            0            0
+96     -0.49384    -0.078217     -0.49606    -0.062667      0.17169       2.6936       2.6667      0.37953    0.0098465    -0.069185     0.042041    0.0048746       489.18            0            0
+97     -0.49606    -0.062667     -0.49778    -0.047054      0.17262       2.6903       2.6741      0.29522    0.0049457    -0.044798      0.04208    0.0039334       476.35            0            0
+98     -0.49778    -0.047054     -0.49901    -0.031395      0.17646       2.7359       2.7275      0.21466    0.0047894    -0.060855     0.042917    0.0024158       482.67            0            0
+99     -0.49901    -0.031395     -0.49975    -0.015705       0.1739       2.7225       2.7195      0.12825   0.00094285    -0.019993     0.042731    0.0017004       495.55            0            0
+100     -0.49975    -0.015705         -0.5            0      0.17555       2.7538       2.7535     0.043255   0.00028133    -0.017909     0.043255   0.00039813       499.25            0            0
+101         -0.5            0     -0.49975     0.015705       0.1747        2.725       2.7246    -0.042802   0.00013607    0.0086621     0.042799  -0.00053625       504.96            0            0
+102     -0.49975     0.015705     -0.49901     0.031395      0.17448       2.7425       2.7395     -0.12919    0.0011238     0.023831     0.043048   -0.0016549       509.74            0            0
+103     -0.49901     0.031395     -0.49778     0.047054      0.17305       2.7108       2.7024     -0.21268    0.0035867     0.045573     0.042504   -0.0026249       488.13            0            0
+104     -0.49778     0.047054     -0.49606     0.062667      0.17215       2.7028       2.6864     -0.29659    0.0056747       0.0514     0.042286   -0.0038512       497.56            0            0
+105     -0.49606     0.062667     -0.49384     0.078217      0.17254       2.6843       2.6575     -0.37822     0.009674     0.067973     0.041894   -0.0048732       482.59            0            0
+106     -0.49384     0.078217     -0.49114     0.093691      0.17139       2.6884       2.6483     -0.46221     0.018067      0.10352     0.041882    -0.005634       492.21            0            0
+107     -0.49114     0.093691     -0.48796      0.10907       0.1705       2.6524       2.5973     -0.53788     0.026321       0.1271      0.04121   -0.0064522       469.71            0            0
+108     -0.48796      0.10907     -0.48429      0.12434       0.1663       2.6006       2.5287      -0.6071     0.028745      0.11973     0.040171   -0.0076552       474.33            0            0
+109     -0.48429      0.12434     -0.48015       0.1395      0.16625       2.6043        2.512      -0.6872     0.042406      0.15501     0.040123   -0.0083594       475.36            0            0
+110     -0.48015       0.1395     -0.47553      0.15451      0.16471       2.5564       2.4434     -0.75169     0.044094      0.14333     0.039072   -0.0095557       459.99            0            0
+111     -0.47553      0.15451     -0.47044      0.16937      0.16053       2.5084       2.3732     -0.81252     0.061525       0.1797     0.038243     -0.00994       459.88            0            0
+112     -0.47044      0.16937     -0.46489      0.18406      0.15775       2.4703       2.3108     -0.87319     0.071691      0.18973     0.037423    -0.010735        455.6            0            0
+113     -0.46489      0.18406     -0.45888      0.19857      0.15268       2.4135       2.2298     -0.92362     0.078385      0.18924     0.036256    -0.011535        452.5            0            0
+114     -0.45888      0.19857     -0.45241      0.21289      0.15247       2.3742       2.1638       -0.977      0.09022      0.19982     0.035405    -0.012208       430.42            0            0
+115     -0.45241      0.21289      -0.4455        0.227      0.14747       2.3001       2.0655      -1.0119      0.10537      0.21508     0.034099    -0.012516       420.16            0            0
+116      -0.4455        0.227     -0.43815      0.24088      0.14454       2.2727       2.0085      -1.0635      0.11199      0.21152     0.033307    -0.013382       424.38            0            0
+117     -0.43815      0.24088     -0.43037      0.25452      0.13997       2.1873          1.9      -1.0837      0.12662      0.22199     0.031833    -0.013536       398.15            0            0
+118     -0.43037      0.25452     -0.42216      0.26791       0.1366       2.1321       1.8179       -1.114      0.13518      0.22059     0.030678    -0.014034       388.05            0            0
+119     -0.42216      0.26791     -0.41354      0.28104      0.13412       2.0898       1.7467      -1.1474      0.15259      0.23229     0.029833    -0.014373       381.41            0            0
+120     -0.41354      0.28104     -0.40451      0.29389      0.13012       2.0162       1.6495      -1.1593      0.16183      0.23026     0.028452    -0.014593       370.25            0            0
+121     -0.40451      0.29389     -0.39508      0.30645      0.12461       1.9347       1.5471      -1.1616      0.17107      0.22785     0.026988    -0.014667       355.28            0            0
+122     -0.39508      0.30645     -0.38526      0.31871      0.11887       1.8484       1.4425      -1.1557      0.17662      0.22046     0.025433     -0.01469       349.48            0            0
+123     -0.38526      0.31871     -0.37506      0.33066      0.11648       1.8053       1.3728      -1.1725      0.19521      0.22856     0.024629    -0.014826       337.86            0            0
+124     -0.37506      0.33066     -0.36448      0.34227      0.11174       1.7292        1.279      -1.1638      0.20371      0.22388     0.023289    -0.014763       329.02            0            0
+125     -0.36448      0.34227     -0.35355      0.35355      0.10816       1.6627       1.1941      -1.1571      0.21168      0.21844      0.02208    -0.014744       312.12            0            0
+126     -0.35355      0.35355     -0.34227      0.36448      0.10218       1.5864        1.104      -1.1393       0.2046      0.19827     0.020555     -0.01478       296.39            0            0
+127     -0.34227      0.36448     -0.33066      0.37506      0.10047       1.5583       1.0488      -1.1526      0.23026      0.20952      0.02009    -0.014813       294.55            0            0
+128     -0.33066      0.37506     -0.31871      0.38526      0.09471       1.4576      0.94661      -1.1083      0.23461      0.20038     0.018554    -0.014262       279.56            0            0

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/runmpirun128.sh ADDED Viewed

	@@ -0,0 +1,18 @@

+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 2
+#SBATCH --ntasks-per-node=64
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/runmpirun64.sh ADDED Viewed

	@@ -0,0 +1,18 @@

+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 1
+#SBATCH --ntasks-per-node=64
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/slurm-28428936.out ADDED Viewed

	@@ -0,0 +1,200 @@

+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+Running on 128 MPI task(s)
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+Created 48572 child grid cells
+  CPU time = 0.0826891 secs
+  create/ghost percent = 1.37845 98.6216
+Balance grid migrated 48478 cells
+  CPU time = 0.128249 secs
+  reassign/sort/migrate/ghost percent = 76.8856 0.0262147 5.98512 17.1031
+Reading surface file ...
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  43392 4856 324 = cells outside/inside/overlapping surfs
+  324 = surf cells with 1,2,etc splits
+  109.214731023047 109.214731023047 = cell-wise and global flow volume
+  CPU time = 0.0975523 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 24.2162 24.5333 3.3021 26.8646 21.0838 6.7678 0.137587
+  surf2grid time = 0.026207 secs
+  map/comm1/comm2/comm3/comm4/split percent = 11.4842 21.4916 3.37591 1.48101 10.0215 6.00023
+Balance grid migrated 1125 cells
+  CPU time = 0.0326813 secs
+  reassign/sort/migrate/ghost percent = 8.41077 0.0850641 32.7203 58.7839
+Creating particles ...
+Created 327644 particles
+  CPU time = 0.0114594 secs
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.59521 0 1.6875
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.37473 3.22189 6.03439
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0   327644        0        0        0            0            0
+   10000    9.4874764   364669     6036     5201       10    347706.48      10.9075
+   20000    20.234157   365224     6026     5246        8    356530.68     11.02065
+   30000    30.873641   365114     6022     5183       11    359372.48    11.030867
+   40000    40.656125   366030     5991     5142       11    360938.78     11.03815
+   50000    50.803034   365832     6003     5162       13     361911.9     11.04168
+   60000    61.774414   365293     5999     5177        9     362458.8    11.051067
+   70000    71.606421   365787     6107     5237       13    362888.67      11.0575
+   80000    82.354847   365404     5995     5170       15    363223.19     11.05935
+   90000    93.120274   365245     6096     5271       12    363476.21    11.066433
+  100000    102.75221   365711     6137     5262        4    363662.01     11.06958
+  110000    112.79066   365650     6096     5273       22    363852.95    11.075291
+  120000    123.44275   365853     5969     5107       19    364056.61    11.080875
+  130000    133.17427   365117     5966     5066        8    364170.46    11.079131
+  140000     143.8205   365024     6013     5155       16    364255.09      11.0837
+  150000    154.57363   366037     6063     5196       11    364334.98    11.081953
+  160000    164.33549   365476     6048     5190        9     364409.4    11.081169
+  170000    174.35613   365337     6071     5220       10    364474.87    11.089224
+  180000    185.87822   365466     6001     5191       11    364530.99    11.090389
+  190000    195.85449   365636     5999     5164       12    364575.21    11.090279
+  200000    206.23288   365602     6049     5192        6    364622.33     11.08902
+Loop time of 206.233 on 128 procs for 200000 steps with 365602 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.022588   | 8.9374     | 53.853     | 385.5 |  4.33
+Coll    | 0.25592    | 7.8022     | 56.541     | 371.7 |  3.78
+Sort    | 0.085765   | 1.45       | 9.1294     | 158.7 |  0.70
+Comm    | 50.864     | 85.804     | 96.207     |  92.4 | 41.61
+Modify  | 0.017721   | 0.10325    | 1.9575     |  89.3 |  0.05
+Output  | 0.0052444  | 0.0077558  | 0.010524   |   0.9 |  0.00
+Other   |            | 102.1      |            |       | 49.52
+Particle moves    = 72924466214 (72.9B)
+Cells touched     = 76302482218 (76.3B)
+Particle comms    = 180254298 (180M)
+Boundary collides = 0 (0K)
+Boundary exits    = 17644910 (17.6M)
+SurfColl checks   = 124159465 (124M)
+SurfColl occurs   = 2217804 (2.22M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 1344238281 (1.34B)
+Collide occurs    = 1052000069 (1.05B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 2.76251e+06
+Particle-moves/step: 364622
+Cell-touches/particle/step: 1.04632
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00247179
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000241961
+Surface-checks/particle/step: 0.00170258
+Surface-collisions/particle/step: 3.04123e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0184333
+Collisions/particle/step: 0.0144259
+Gas-reactions/particle/step: 0
+Particles: 2856.27 ave 18876 max 0 min
+Histogram: 84 14 6 6 8 5 1 0 1 3
+Cells:     379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.66113 0 3.375
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.56829 3.34929 6.16229
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0   365602     6049     5192        0            0            0
+  210000    18.183322   365427     6072     5212        9     365652.3      11.0916
+  220000    36.894324   365137     6071     5191       20     365508.1     11.09955
+  230000     54.82409   365279     6070     5268        7    365484.98      11.1042
+  240000    73.388873   365145     6080     5271       24    365496.87      11.0858
+  250000    90.839249   364779     6105     5247       14    365416.23     11.08672
+  260000     109.4111   364933     6038     5167        8    365401.96     11.08665
+  270000    128.16077   365554     6006     5230       14    365410.25      11.0848
+  280000    145.61675   366193     6002     5114        8    365467.36    11.092263
+  290000      163.677   365536     5929     5067        9    365473.78    11.093789
+  300000    181.77901   365872     5944     5086       10    365465.31     11.09713
+Loop time of 181.78 on 128 procs for 100000 steps with 365872 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.011473   | 4.5054     | 27.235     | 272.9 |  2.48
+Coll    | 0.12724    | 3.9271     | 28.893     | 264.9 |  2.16
+Sort    | 0.047894   | 0.73576    | 4.6318     | 112.4 |  0.40
+Comm    | 29.73      | 46.97      | 52.137     |  61.4 | 25.84
+Modify  | 1.7672     | 12.44      | 70.974     | 420.8 |  6.84
+Output  | 0.038745   | 0.040127   | 0.043242   |   0.5 |  0.02
+Other   |            | 113.2      |            |       | 62.25
+Particle moves    = 36546531164 (36.5B)
+Cells touched     = 38238387312 (38.2B)
+Particle comms    = 90259302 (90.3M)
+Boundary collides = 0 (0K)
+Boundary exits    = 8841471 (8.84M)
+SurfColl checks   = 62172879 (62.2M)
+SurfColl occurs   = 1109713 (1.11M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 675728849 (676M)
+Collide occurs    = 528807711 (529M)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.57069e+06
+Particle-moves/step: 365465
+Cell-touches/particle/step: 1.04629
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00246971
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000241924
+Surface-checks/particle/step: 0.0017012
+Surface-collisions/particle/step: 3.03644e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0184895
+Collisions/particle/step: 0.0144694
+Gas-reactions/particle/step: 0
+Particles: 2858.38 ave 18493 max 0 min
+Histogram: 83 15 7 5 8 4 2 0 0 4
+Cells:     379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Writing grid file ...
+  grid cells = 48572
+  CPU time = 0.0111365 secs
+Writing surface file ...
+  surf elements = 200
+  CPU time = 0.00155675 secs
+Processing  2  grid chunk(s).
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+Done in 0:00:08 (wall clock time)
+Processing  2  grid chunk(s).
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+Done in 0:00:07 (wall clock time)
+Processing SPARTA surface information.
+Processing dump result file:  ['./output/surf.300000.dat']

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/surf/Surf_300000.vtu ADDED Viewed

	@@ -0,0 +1,38 @@

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="400"                  NumberOfCells="200"                 >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="1"                    RangeMax="200"                  offset="0"                   />
+        <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="432"                 />
+        <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="1468"                />
+        <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="2476"                />
+        <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="3508"                />
+        <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00132"              RangeMax="0.17646"              offset="4512"                />
+        <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.018044"             RangeMax="2.7538"               offset="6428"                />
+        <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.04684"             RangeMax="2.7535"               offset="8508"                />
+        <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-1.1725"              RangeMax="1.1945"               offset="10636"               />
+        <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00010955"          RangeMax="0.26548"              offset="12756"               />
+        <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.23785"             RangeMax="0.23229"              offset="14864"               />
+        <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.0004594"           RangeMax="0.043255"             offset="17000"               />
+        <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.014826"            RangeMax="0.015185"             offset="19148"               />
+        <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="2.0116"               RangeMax="509.74"               offset="21292"               />
+        <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22844"               />
+        <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22896"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503"        RangeMax="0.50000001255"        offset="22948"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="24276"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="25180"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="25672"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAABABgAABAYAAA==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AQAAAACAAABABgAAKgYAAA==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AQAAAACAAABABgAAGwYAAA==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AQAAAACAAABABgAAOAYAAA==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AQAAAACAAABABgAANQYAAA==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AQAAAACAAABABgAAegQAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0869_Kn0p40Ma3p8/surf/geom.surf ADDED Viewed

	@@ -0,0 +1,610 @@

+# Surface element file written by SPARTA
+400 points
+200 lines
+Points
+1                  0.5                    0
+2    0.499753280182866  -0.0157053795390643
+3    0.499753280182866  -0.0157053795390643
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qZcqmlixQZ69YZ8/KhuDoxLau89mQsv3jLpRmI+uhjY7rsSwYdDuULKxcWpBzuCsLL0dGeluvzUZo98ZlI06VANfKbHBWDGSFGgtgqja3m+Df+RUAY7bd7s0WoLquwd3VKRv9dvk0Hr2Yje/fIx/uJeN+FdmGahkJYNSndX2xuwA2L2jDk84LMPSmTW7oAwHGxAhLRT2EmB5fl7JuiRBGnge3O0YJkXhGdM7DX4Aph+pjulIEGPwhzKLjngB5/c0gaBcg3fNhj5g5QpRNy0xr3ieEZg/r0Ea2EMlvZue3PxDimjLs1bEPQmRqy7vGDxAhPqS8dM9MIYaeCBjrESDEk0keXRf5QgyQXuH9rRNiYgb71fIRIpw3VHskEabQ+Z0+m0QIjVTZ+KSK4F2dyH1UJfoXJ8RocwmWc/uIEPHOh6p2E6HMYshuxhERHrfX63ScE8F3UXtER5EIz8IbTK20xMiJHfJTc5UYL5ZunxZ8QIz0RlZWj1gxVsRyD2icEuMoCRZ+jSLM+6NNliLGJN+PgQFhYoze/W1zqEIM7UPUaZ3XYty8Nyu47ycxkno7v3tOfgc5u2yo7iGBrrnNtbHGEthVHBtDd5HAtaPHssBqMcT31qwr+y5GZf/0lA2GElB1Fz4HTpfAaUmCbdJGCW7ZNTd8OiPB0zjNNQ/FEqxXzXkUWCjB8G5HKIHGH7O13EYJ1lbut/tSIMHdN6csXtZIcEVjhtPFPxI0+fQu0LGSIpcKujbPWopxyR17ZjhIMcN/zb7EACmmRmT1bD4ghchD9+mIWClmd6UO0gqV4kbvSkWkhxS0e7NfVaVKMcY5PtGlmIzvOZDj9FCKLRYrhrxrk8KVeL2S71I4uGUHTfsjxfRfWSMnfZHi1dvK0dffS8EevtG66JsUPoeDdpSslKEuvWcaw06GnOfD+gXOkeFhLS0wyFmGAReOTJW5y9A1oVrSuluGqeO/M0v8ZZiw8QRPFCpDrdMCbdsDMhz50dlyc5cMjCjTwuNZMtz97ZC5hLSszfVOmkIZmtTbxpfBx/skPZ8pQ34syybqMHne6/4Q67MyLA+3lSFOhlstmZvDTspQPSanbQcZ1zL/K33qWArF6ecWNxtT6NWwtcxpHIXDiV2f9Q0oyOTL3XbrUBjvr7YQhSvCxjzjHzK8ML9ZHfxBhkaX6pCJL2QQNURwPxfKkNcyfPTPjRSuj1YbjsJ9i1grY1cKNj8KfYVeFKiROVNLAihsHzzmxVdPCiN+JiX03UzBqZmKe+BOwXSd/XjWegpdZLUXZxF9RrJFbXwKk1pqdpwRk3kJWLP1BUReheWSmjgKeudn33iwn4LPFgcjRTSFbXP6ZVgcpWB2fsRLDaIn1jrBdJgPhQbPpBK9EAoXtNUGp9BuZ7v5UQaFhK1XMp6dpbC4WwEZ93m2btkxCrdT2zpWh1OwfVIqTAmlsOyWWUhrAgVeQ6NvcDKFUklFG5tNYVTRoAv2Dyj02z3IdlE+BeLkTZJJqz3h/Jp5t8j8Xc70XHqTwkyz3iTUEjlk1z6+pvCx1s70XQUFutWDfi9ryXyeLFz35RUF0b7qvdd6ynHpLlvXtq8c2Wcnf5+iJce5S8dXHxwiR2vJ95y0/nIU7Ri1dsVgOQbmW6aZD5fD5UGEVbKuHGQyja3k9/aY9+63BsjRucwpYvgmOe4E79O47SGHTefUuRt3yjFk/aM3hoFEfqbJ5+BQOTiWk8p27JWjz+SVlwy2y3GS9Xf0tTA5dg+s2DnooPwfh8iRV8aYyFTK8XFmWNwniRz9AtSELseEDxsdJ+fLYV3scdSsRA76mnsaq+7IUbJrQujF23IsyrzkHyCT4//4R+ZhecXVl4z33r112UpTBd5rrTYLm6HApAq94sYpChy5tl7i/EOOVavi1zX3ViDjBOfZPUMFPN4YSZ+NVmBv/Jnab2MUcJvTZDZnogLvnu31Mx2uwMrSc+5/lijwVz54VE8HBW7lud/ev1WBYayeXvNjFXBenbZ1YIwCSwTXT+b4KHDCcISL5h4FPs03/9NyUgGO796dfqkKjFrYsDRGoEAjtz468aYCUd6drYGk9SyLjVmtUiAtXXP3Mp4CDdv07k+VKNA2vC7t4i0FEu9yDg/LUWDx8zUimVSBbny4rUD2LJshv18qoNjuezZPS4n1izjMhT2VOPpsQ+HL4Ur0Sj4+4piJEmckflpFU5S4NSBhYoyNEg2T1WSlhJ+P2sJKaFRLt9jZK9FZMN7cbbYS1w4IlwQdV6IoqvF7c6ISywwsozfvV+L0NPXOKRGkxugjSgT0yR27OUWJk2ozxiuRNUF90cjzmZ9Pt5xSQvHCVD/hkhKUoDX7R4ESxdpqclBCHTXflStR6GK0qKBF+Y+PlNhWZD92S4USdrSaKlPymyRbu5rrlWD4qAOMEr/2bs+zHaOC6W41OStxWz4tiNdDBSdPrTktf5X46heu7EPkJdCPLWj6okT/qK8DRnQpMXDI7Kwk8t4T37/zdYaroOcuzr45Q4WLf88e/jlXBQZzv89ibxVGbezcZmmvAs3mylvOJBXmjnc6GGuhwvH5MSPNNqswuXCF/QXyXghTblEZrkJ/XXul4pAKg6VRtgtIe4+Kn22dqIKh0QTZIysVtv44mTrUUQWSlOSedVAht248IWQV+h52u3XYRYWvz85UG+1TYeNxm+d3AlVY89H16xHyXmLComtSTxU61bi0n/RHZF4cfl8F/7XL55bcVIGpVT2ffoOMr5xLEIO00aP+9o5RQat2qMPok8QeE+ZzKlgq5Ay9urxarML8G+cNpolUOD20bVjEbRXMR+w64ndQhS3tn1fuZ6pQy7tjeIuugpoeeqUQ+87xWn8+izznRuzyIuNGj4wO9yhQQbRw/WY5afMO3wx6kUP0lJZcv0Hkf0Nn3v5yFYbeeFh9p1CFOTnMcUZKFQIWSnX0a1Ro5OdPaSLP24KmTBpQ8t/8qqLn1pUmkP5Chvb46yo0pKsDpAoWbxJfWZDnB871+zEzSYUXxCvqScj66vPplVIVmujbo8NOqLBIrTZVhaQIlzoVme+oek6ODk8FR+bnn8FnVagzNygwI/Ob0W0wYs/nJ77bEzmHjF2SpGnk/drvXqsjVfj06cydWQIV1NnbcEoFbfsJ+3qmq7B5qToSqFBUGaoZTNZD4GPbGqJ/40vBlSovFeLS61tdyXkZt5CqKVikwrO+SfsHblPh8N1jvcZtVKHHzp2Vmzz/0zMpd4NrrL8KMaL50dQa1T8eUmGM5aC0b+NUcJBYHpKR9kZ4H53fuioIdsZk/9Qg5yUiO/AWOY8hupdmXLZVYVpxSt1naxX8BoTEzJqjQpk6XSHyJPHB512J/vBGP7nePSXmD7OPcM1TQm65dKXnYyVq/owv45QpERLldWY0uY/i2/Mn+98h93jBEpvtlUo8Ej5+tq6R3M9UXdW990pUuPzd2FqjRL9CfULOStjEuMWPSlDiW99ej6+fUKI7DYxTYobjFLP95N4neK98Ykr6Req0mPiHHoZzw1aR583Gzq7TyLjmCP94DSLnx+mlOzRHKrHrS775MHMlUh5/m587T4ky5465AgslSlNCzKSk31fCKd+yVIl2HecgvY1KmAqcrfouVmL625vEcyjx8ZdeUfR64mcq8vBGpEBPc6PF5ncU6KN7RG/fBwWuCKI/hDQT/6r46nXqtQLJQ4ZF2Tco4NR/SpRZLyVGDBt41LeHEoMuGu136qtE3GKvuifGxG7TbwZLvRWomNFiY0f8fcj1wEzb+QpolmS6v/dQ4PVEhx5cLwV0c1inv5L32ge8T93mokCn4yWXIuL/H424Jis5RvQXqgMF0XttLnGlcnwWPFu/nsSdtyuNCwu0FChvKXweUCdHg4MaBOR4WT2Cde+PHCbN8jaOtgLbY52t9xoQP1/XV/pNU4EDD0VzRWS8Pln1fYYcpmq8uygHe0b5JJM0OTQ1Q9p+XJdjSnTyi0ukdVm4IGfbDTnUp9BEJcfmJm8LPUqOxVP7DCojcbXGbZe3wUs5nrkHWZZ7y3GEq/BesU2O5qaU2igS1wd1O0Y5/Lxd5v2aKccZ2QKlySKi5968E9ZucgRqzBpr6y6H1ZZW4SMS/xcm77hX409a+coLLYZyiB7+FZ0xkuMrTZ24ydFdHholx1bHKz+NxsgR/qTx6mVjOQ4eD36gmEj6Oc+JxeXwedKPEztNjufqMDZPDsMPmoF7f1Co07FsHfWLwhe9vRnM3nKEdCco5L3sEztCCdeos/ed3yjcjZOF6X2kYE5ofmodhUED202PEx76saYmg3abwip1OlNGoXJi1FbfexSO3zcnoYwC+9Tx0w6EA+2GrL6sJDzX/5vy3OdMCn4OwpZfXAqfkvac9k38j++o+19YQYTXnlev0TjtR+GN+OZPIeHN1g3TCbIQHvt9hG7pTUF/3ogTXeR3SHchh4L/XS4hPgqF8WskxwjXWsk7c2e5UUi6OFN+g3Dq/+sD/8n5vx+hEGCivokUVg84u6OnHYXuac4nfPtn0qcHCyjkd+ro6qwm/Epu7/mVFCJza3PXzCXrTlBvHIXyyAuRjdMo7O0Gm//4/MswdWWBcGSVT8OSYRQI/H7R7Uu4dnurzQDC45KOkU2572W4arXAO470J6ivb4UMxm/m/g2rlIEmuVZ75JvsX7wm3L449dX1qv+e52+/EhD6SIY9JVWR46/KsG6yLkFuGeJFJfmTY2TYuNK2QXucDF8Z6gKtDJbtWyJLR8uwJIRhv8lcBi6hn+2TZbhxUF3hlGHS5aaD5Z4ymJFVm0TKkLyqy7aY5DNPs2+QjFGG4RG3668ck2KRS68+jiwppphXhyZJpDB7cJDuXyjF+vrYbQH1UnRW9Wv3/CiF29+xSeOKpCBO8XLDYylsL92Mq6+QYtamgW2rXkmxXX9WL/ezEjxX4+AjCVZPdn67S0v6jy+laCfePdJWisETNn0L3yRF3GOG1999Ujx2bBnpeVCKiBq+ZcseKQ4bPTx3wVOKgdt1vTb8EeNP6Wz/EXoSGO7psSN5mgRdX6Ystl8kwfLRLvcHuUsQoFm973eMBBPUxzpZghVV5iejpRJ4/OwZ8Z7MgySPo3f0luJt4Bsbswci0E+b38odKcae2uhi4xXifzwgRhr9pWFmjhjXbdTEIUbI4FCVcIIEitZZs+atluBzouWADXtJ3tvuMeTXbglK1WnDYBEy8j4HFEMEI68P837EiVCi/6bOOF+EO6e/tI/VFINW6/Arfqb4H8+IESja6BfpKcbwJ9r7p50Wo81gUMscSoy7gTOiLi8S4vfxuD5m4UIcCk8ZO54thLoaavVYiJ8pczwMdEX/eFSE8/cEDO+dIrz/EnOyXCWCXauGQed3ETY9/+0zbq4YdD11YU+A1PyKwUYXBShY4sp2qRWAJ37r7DxMiASzDTUBc4XYNnt6V2mwEFa24ao9t4VQDHRY39AshMpIDQoipE3dqP/eVIQga+GAmqBsOLZrzVwizEaVr5vh3dfZYFwr1vw1QoAYDXUgE8Akinbn1DEBQswNNYS5gn/fFQQIu5Vjl6YjRHd4mCbEknWXI1ZGZEESMOZbiigLVXl9DjU0ZcFn4jXNrIXZCGl/tEOUlI2KH87tj8uykV1Lf7HkZzaOxl6PGzdHgPTFkV5FRwToNlOhACuOhZtsYWbiTFjVl7yGTGy4z0jzssnCGltKuOVwFtz3VpmNEmdBe1J5mcO7LDRaqwsH2SDJQv/yrdnoOrzzWuj5bNy8Ez/C+VY25n6qzx1RmYHB+8ZElZtmQmf383eH1maCm1uz4vCpTIQqyiMKSjNh//8PGbBQl51WZ6E8x1tPMzELX30eeCwvzkLGMbXjzIa78KlBxQ8+WGE/dinsMzB9+Pihx1Iy/n1/yMCyN3OSOeaZWMwqPs/flYmJ+S9d6bxMnLTQtVv2OhOG9S+HPdEm846TaoOs69DHYRPqLfho9D9RYLqLj6F6uFt1iY/FPqauFkTPq+Hz3k+wycC7Qfi7IDwDXhv9V/e/moGygNEnbv7KQOjS/OWC5ZkIcTboGJOWCS2qWDZmKw9qqhVn8v7Vn3hY2F2g5yNiTmO+Tzj/H7fy/8URPuyO7Phwb2YGvg8yNtwbkIH4jRbH93IzcMG7Sod7iYvdTgckR5u5uJr36Piv6URu7l6yszycirdh+Ip4mLL1hbdzFw/898lXOu35mEKy7rpDfGR0qB0yH9bqz0Uv+bCKXOocZ8JF9ceCvjIPLrrLgulcmPiOfTztLRcso94nYwx5aBr8l8pwIPL/zuPa7uPBj+m+ZqyShwK7icslHTzYsDMmvyB6Rsau1BoVykGO7oRx53I4KKe5tq79xsEqt1liwRTuv+9LXKxmDPRdQNYxiPzv+sTFiVNVZc9G8aCuXhq68aCXEr6oMpmH7u1oY2PfXnXFnoNfQvfsX7s42GMUfqkqjYNuazzkQNtceDijlQPNu119TGdzIT5tv1AWzsUKQm0OIi7WPGmakFDKhbvN4KTezmywT7ycdTqGjU+24j9at9iYUQnisTlglfi73JvDwfwhtw/YRHPg3n0gOSCd8hPtZF3R81Zlzecij3GobnEEF7eNj4+6y2fhqPnMg2x9NkpHW/BvLWFDfSv+hrDBGVphJc1lQ+dt4dWvzWycvFb3qciUg+7y6CYOCIyLRxzlYHsbj+wUB0VHoscuOs6Ey2iDnStamdBKnHVmwykWUl3WDVjfl42vTHUBjMi1uP77yg72v3ozG/OGy1007rDx7OGdt+2aHNT6d0aL5nNw8nn8rKIrDJR1jIipsWbCzqepJSCRiUr3mY+HdDKx3a90nn4wC93hrIWFKzMbcpZOY2PzpV22m3zY0L9rEGOUzEZC0yV2x102As+E0IJldIjG7UnMGMTAshv13z4EM+B8elvXhGoGlo+5ys7fxoSknRrW/wUTXsWf1j12ZGGoGn+fsrBv4fzlZ4ewEdocdn2GHRtxlx8VeLTT8O3QHoHTZjpcWbUDacV0dJcvTRmIM11FTMxAaL8Tb6rfM1D3VfXrxlomHrk6FD0rZiLsp9h6zSbWv/o6C06LL1+cYU+DI2dK5CEJDQq/x9t2DqXDeNXv2GXH6VhO2dA7n9Fh49hapJrFQNL9I8sKDjFgRChjfxkDMb8rrvhPZ+KrRcxdZy4TAf062X7KdCw/Fznh7FAa0nLXDu7lQYNO1oOHs7k02F5IX/CkPx0mJLtpDaJD2Hzu4dpWOmr1TzKTHRmYLdgh/s1gYMROvaQHnxhQ1TP6535Mw6T+bXHzHdMR3a/qKi0rHY6vfuhe0KFhYMe5zeeDaDgvvlW69ioN3eH5Nw2PAtTkQIdW8gqC9nSMN7BqtCT2EWuoI3AaNqpx7Wgadr7uc+ntyzQ4boufozU3HS3ZVuM+JKXj+IbfQ473oMFFkn/VfBUNh39l2B1KosGNnL4rr2mw7lFgnzSWjjDDP2U6eqnooq06GbUkFbq5+2a77EvF0vgeQ1ewU//V/VKRqP5sYJiGgd/zqJmb03C2zV//NycNb0cu0QhuTMOOBZFpk2zT8T/TL09QAQAAAACAAABAHwAAJxgAAA==eJxFmXVYFV0XxW0F7BYLO7BQMZGlYreoCCZioYitiIGJioqYqIiNXdiKjYqBwu3i9szcO4PdgfGdM995ntc/vMDcmTlz9t5r/9YezjZ9XKfyOUiNnj1oaGgOzPrVC/rsykFYtRvKQtYc9GtXdfD0Jrl43VlawUXlooXv4AE9buSiR9kBe2cU5KKO+cC1vFYKTF5p7BYbqkDPy6s8zBm5qPA042ZiCQXiqtcLMHVS4Hjlhcv6T1agcaKyy5kUBQq6zM3ZqFLg0/t2rWqVUuJPmukk56fEXsvODfFjlNhl9Nm5JVWJrmdSfPIDFei8spJnhbnkPhGf50WfUsA4ZmLDq4ICqjkTS+bUUKKJaVS/n/2VOPFp8Tr1GiWuXLvXLzJbib6jKvWylFThZ+VCXI32KqyUb6zAmA9HL/q8UqB4Nd+ZbcookfXYxZmGKbHK13ipwkYl3hfdZnr8XAnPViGacG8VBv84HmcdqULq0Qa3fm9QYVcb9beL51RwXnzu/bW8Etpiw78X7qeEvF1rlfBXBcd2zVTiSSe6cBWab+/V+lioCsMS98yuuFaF8CI33rlOq7C9Bf1JhYy7aX5j+qoxIrne1kXzlLBVefgv5LISlzZ1bJv0W4nfBVu8SvZUYdTg8ovqrlLBt+BCqb83VIh+8vfysk8qNB5R/NiOLmq07TYpoeQuNZrFLtpa2KjGgGtDn04uoULN5lk/9w9Twdbx3reXO1Ro+/xZmEGtQpuDPYL+FVPjFb+fZIAa6ypOM/3drUaNzl7LTA41dn+kAdLg8pcjXvljNcDCHiuyU1WonzChzyWzCkebKpp8aqhGGq/tXGKKGm7/xQn559WYtTt8XqfPalT4PadR1w4aBEw73PbvCg38lx2uUv2yBl7NcPqbpEGz4pYJqupqXGnYfXDLsWpkT48lKaVGzplcbcgbNdJdhR7W6qZB3ML8F9NjNQisf6JXxbsaHPnsfbvXVw3k9GuvxcDFs4o5F2nRdn7Vb1cfqeFYSQOpwbJp/VeljNFAPm2LBr1mzPkQ/1yDzzRNqmlx8XW1N+ujtbhfNrXd0ataXJ7coPzF11ocXblmcxV/HWjWlRqlwduDAS00KRpsEpJDgpwaJOd+CrjZVYsO9HFXa1Hm7JIGn59psffY0/fRv7RwXLX3nthDB9H6qNHTAzrEyoWiw7lTD9uXrqtFZsVyTffP17L90uL6gPROqT+1WL1k/P3wjjoMOuHZp9EiHQY0E7/tyNIhesHkpZkV9dj1rcTEvYP0KCmfoIe8rVlavAptf+BAaR3yPQYGHJ6lA7l4fMwtHfaPua6r5qHHh5+T1n2I1OOsO+174kU9vB+M9enxUc/yyoAZC0teahdvQLSTj9twVIey5V8que86hJ7yf9V1iB61u8XNUR/Ss+fTI2Xiq8JrOhtwLWFnQe1NBvx5+GDBe4eB1aMRz88uKP1sghFnVnSp026YHv0HCm9LndSjTd8kW94XPc6vf9wtOdCAjP6li/huMCBo21qSeQa2P0b8Dbff+j7XiILt9duecxpR4mvLBRktTCgaFHJj6RADStetMKJ+ggFpx2nBGzBwZ7DibSMj1Mbn9qaxRqz3Kdno5VUjQu5sj+XLmfBnjSU9ergJMXnxri6JJvTXD7pndJlQKmb62+teRvi8H+VbKc6IQXadJUBL1l+3dMD3OiaU/fG7Tc8lJhZ3E77zk47o2ufh+i0/Uml50B+b281Tn4fha2dUD6xvRo87Fyam1zShsW0WiZgJtXruTummMEGZvKDZheZ5IDfN+rIuD0REvuSR82iVT25gxssIKmxmNGi5+0aDVDMcSytf6Osww7+HZkWh4Dx8X2RPrXA8D4Xkf2ZYi3hsqjvZDGlq5eyW580gi23V+Z0ZVSvtT4oKskD/IMSj6gYLLnzt3XNsjgX5S152n/rbgj3n6R/M6H3bk1SgGaXTk4aM/2lG0IIDfcY0t6A3UanZMyxYFDZoVuAFCya0cnb1e22B+ct0BPeyQjPV79LPm1YYSz1+/au4DRUKbxh2fJoFNafs2H4l3YKIKnOm1PlpgbJ+3s+4mVYoi9PAWXG23ryk4+Vs8HAosypE2SBv92kby18bNrS7n1K0mB1jqayPs+Jl7+VNpt21Yn4786pccl5B7IjtnpNtSKPpd8WGPjmZBxf/sEEuu7p20KNePewIXzy0TtWZdsyrWcbecpud6YENS2ThtuHFUJqRdlw7Efu0WRc75DKYbAdpEj7XEuw41v3Qs51pdtR67ezg/cCOUW2an66ksKPfyQvLk912dHjWsMH0SXZEaYLaZ6y1Y03npb+tJ+x4Vnpk1v1cOzpNpwpjhyx7RRxIdZRYHlfdgWev5hYNhAPL3+5rVHimg/UJB376uS404u2gu12migP83ZlTM1s70CPlUmSXrg4EisZzv8Y5EP96+M068Q4Ef8qvVfSyAyVf/6vlynbA/vlRKYfSgfI7ipPUdYA0C1KJDgikirsfcmDfwfTHRV84sICowcb3DjQZ8i6mqacT1WUhdWLZ2tZEapx4kuQX07KeE4O8jy0a6e/E5hNXdj4c7sTOLoUHryvjhNeEL1XSajjxtI/PBH1rJ7Ze7EYk2wkZA0Y7kfK6Pel4TjTUOUcU2uLE9fL84XX7nEiaSzutEw8CuywSrjihdc/0/bbHiYCoG+MjLzixYFX41jr3nVg4YfKeU1bye6sno6banNh1p8vTVW/IefVGnjYW5TBOFgYOm70HPfpQgcPk1Pse8aU4pkdOFJYLgsPOObQyOYx6eCptSHcO+7spPEuHcVAVZOkPks/z7WnH4XD4T78KNUI4SL6UcDhMuRiz8s5oDn/L9l4duJ1D7uEjpANwaEvDs5ZDoTmriz1J4tDk7hwSQg53Rp8f9OM4h9/+YcfqHOVwY0/7Pq9PkfOGlOj7/CyHoV3pEQ4R5UM7X31G1vH3Td9N5DOos/JCzxccvtCwZXGwBmjrdXzEYbTceMhxZ52BdTM4tN6c8OrpNQ4y1pDPt+qPe1eT85pvaVmsc1MesYW/KU/78uh1rOvGA814jG/3c9r+mjxqHpzQLLs8j1lBlDx4XMlfcK1KAQcZxz5woPRU3c3BS7Wlt9rI4YzvISF2Lvm+LFg87hZwJAN59Ln++Y9mCc94h8cqTWOSOTyoKj+fx8PcrPa5fwt41j95/Ii63KdbLx5uQlF+OTzkNNXzsFKcU/MoUeZPpXHneBhjen+4v5tn+8bj3oaBW7se5/Gl45Hyhcl9Gq5s88G8jAf/vcMfYxKPZUOW2n6YeCzQV/zUI5dHm9tNynld41kd8PgsFDf0Pcnj672P16Ynk7/3Wj/qznYe3u2/DJ17iYdXw6ZxW26R59lXhiAPD+HmiC6h/3hkD6ANg2e6yUMuiy88TnF+RXd/5LGGUPC3EgJMSZW3T6oigGa9oYwAUsRbytcR0D4+J+pNRYHprYCIHxv3VuwvQLlwcdtOAwR8i2hKkFRAOi2TwQJ+ZE45Ez5SwPa3y+E/QWC8LIAsxt1mogBKp1+GCuiUZ957MF3A95c7CvlfEyCX7WMB2jerQ8KfCRhBulyiUsDzgE8li+YKeHbtSETqfQEzN9xvHKURWFwFVhcCzvSLvxTv48KkR2rfqTVcKF2SEroLF0mXut7SBdCyDHBhzamCQmkdXLib1Wr4XX8XFOUarOtb08X43IU+VI6ruyBj4UUXvGWBIMdLe/9qctOFQ2fPGyYudmEq3+LNjA0ubJUoiLhAVWPzCRfKtrx84P1JF05viCSk4ULY5qGF2xx04WhvmmgurLSOTMs0uFi+umDuU3SJV0M3bCcoArixq9Lb5mm/XRAP2SN6l3GDNPc/vr5uvPhDC9aNtMQGRHncOJlNG6mb5amb6bUb3R8+2eQ9yM323Q2/iRNWrVjoBgnWhAOT3VBmN00eO8YNE8WHRW6WR27Qb+W/cCN6W3/SctwQPN/Pr2BzgxThpBNv3fhEqvLHdzdoth0tIYLrQMlKZBwggsAnATAR3y+eI8ojwrf6bo1HpIifh6eTRxVhqrl8UttRIlr/8iSRExk3iShZyiV+XCYynhNRXi40crxI47mvZ4uwbqXCKqK2bEREZAyh5CBCDtMLkXGsyPhIRGAsJTkR1dbUImeIGEZcQXNORPxyxZWwryJul+s+s1ITCR822Qk5iyRHKZlJqB0zgLQaEW9p+uWLSC/q3tL0rQjaXQ//EBEsGx+J1YWEGnKhSlghX0GCvI2xEtNXCZnrT45+0VZCqXO1xkzpKrF4SbjW1rHnF/le+RIHl5XbI+HlnmrhdQ9IzAdKKBhHnY4En8nvxvQMlLC0w9nA0WMllM4f61oYJjHekkDEkLQSCbM3tyVIQp7nZNbAjgkSaLQmku99Sh8WlRIjQS77XRLc1bfdtf6R8Ki59VnAJwlZm2iDkVi8JcbDEjwP6A2Nzkg40IoKswTarbwNEgbK2C6hdbWPB/Z+Jc9BsT9FwtfPJ+pXyZJgKd2RtGgJ43+2yF17W8Kcvp1aLlGS4wPC1nfSSRAoTr6XECIXiISZ1nmbtvLkPvHd3n7QS3if9P3Mbo98VG2zemzMZwly2GwSCGQPN9XMZ/08n/nE/9Y3QjZoEgjUE6GScKzwneIVK+fjtnYBaYUSDF+9Fj+6LqGsbATJ8x19Rxwv2adetONK2EZve19CByrTZL0NIwY0VGZLkPH5qoSD1HaR9cllRZ7v5kvp8l5ynf9zk4RGckOSWP5JoO6tjlmCbH/J8XmjaCeQ0EkGFwk0qqKRxGtYZbESyQPfh865LpIvpwenmt8Pk/AiYXGV4DiSjzJgSaDd2C/mv/v8v09LiNBtPpIaSfKkodfeB+dJXvwOxpzmEvYZlo+rST4/VO037Hd1sj/ULpO8TSCq/YXk49BQZ+GpIyR0oTgHcv1cKoASZLsyXUIobffk/snuh5aw2yLLB5H1b5H1dxGkKAjRiWx/RcaFIlbvDto8y03qUx6IiHjVgDY6EXKabheRdVR6M2WuiPfPH/U8P0NELLWBpO5p1EduEJl/ExEiCy3RF4qpUSLr3yIIJJ1/sE1Eh/RRa5443Fh/bvbX1C9uxnciSvlQp+Zm9e4GEQmyoyIWVLAlhLUWQcwdISIRhWQQEUGnNhEtRRx6RY24G2vbTyatzY2nhKIqHnajSeX69vJn3KyO3PilreWz95ib5TvRX+JW7j50Q32Hq1z7uRtvKL6+dsNz1UfSMUgfIq6vqtGF3BYew0Zku9i6XNBQzPnhYv3LhXbDavwL5FyM311YXe/s2G5N3IiUG4UbGVEeREpdmEZt0HoX9jjPXH6/ycV01AW5rc51Yft+CuIunJ9BC8yF7mm2e2VTXZAfn5z3f7/kAn3qwOKkP47Z92HgH9Jfe3i0i/4noLgMyC7EHLlFlJZcN/EliaCLcbMLlwmt16hF7nPzqWpDKxebt7jg+SUhoH+GgLqE6g7fEzDj9J3ajqsC6y8CHnZuMGDZWoH5FYH5MgEbVwWdCr4i4K4/DaiAIbcyb48jHJA4/ujSqHDCHbJxFPCuJzVuhC9qVCu7boqA2/tPduGnCUgudur01CgB3qe2rDw0T2A+W8DyXoMSGi4lnEDbWIKAQ3X7lErqIGCCPKgR0CIlhxCsgG3T6E8CSu88vWY44Rrq3ou3FtBx1lgiyQLkcQzhIOr6TtYmvNN0XFLmVx5TXo4f+KykgFw/n2V3C3hMj/MnrYzHxlan5uwjHJi8u/Hxw3k8Et/5LD6h4NHduMv3TjaP498TiaP4j+/+X088tuRFEvTmUbX65Qwt4c02ramT4DHpz6FHy2N51q951h95UGpoGsdjPsXcOTziZMHgsVgeAPBsPvDfdf6vIzw2RNNKJOstd7VIUAhZJ13mQJ7xGw8i2qO3TeMhjzMjyPpctU+K/ch15cDx8DRn0J3H1lAKNv/x+RtLXWJ1eYyVC4EHgd83hlI8avvQDOfwcqkfQRsOlFKjPHgYmlPh46B9sW5iPuH01W++vkv6zjEu5djc7L/jHWUDyGHDX49WIRoOVQuy3z0nfkJuj5c4/CAUdHIh8ScRFHyI3wi7/bbnAg6ekfVnLVnKodHFHBIpjukbh9gdC1/x+zmMqXj4RPJ54rvmU9LnII83ThBfIy+Yw8YKmccSG5DjY8okLGvBsXkQWc+8+feDhnMs/znsPjSyYGEAx7iAQ3/iuj724Rgvcwinpy11Iutkoeq5h52QcfqJE4m9aaSIr1x+5VWi5ETz0Uv2bP5BfCXFXQ8O9bcuIjvPoUVZmmEcyzcnm9s4AS5z9bYWTjY/dCK16h3Rt58TctqHOfG4J1UCJ2LoGHAF+R4d4yY64W3p8WbQESeOD+leadIjJ84W2/xo30QHKJ2M2O7AU4rH6cSPU/zXEv99hA5AHSBi33sf8cn9Nj1L39TRyfqJE5/DDpaMme7E11umTX+mOhEkD/zsbC7tYPNRB9NZBwpGh6TsWkPu9+6cZfERBx7nVO5y8ZIDcju77UC5iOmk9TgQNnuGf8N3DqQ+9kmfH2mHbM832zFENup2dCjyMSPuoR3j/wb9evvazvyLA79rbyqyor4DW3TDCbk5IF821gF5vJ1G7rePBtIGOo3gftsQ+qLt40ut7HBle6UnDbEznbHjUJHwgLXr7ZhI3ObTDDtaz6BXtONjBb9GO0Q7VsoG2Q7P+5rc/ZusyGs3sIhGY0WluNOHOlaxgU6Pbk+ysXmLDS3lgbgNGzMoiNrZewU7mnfZkb2yn53NQezQEBfjDLWAmL4Ly5MtUM/sZ54sWRDg9/rJsCFWyOV7w4oycmHYoKpNd9DGfIkNhYL3d7pls7F5hh00y7/2NsNPNhhmEPF/sKSEBe7gcaO+jbfg89YRCxvusTBOsuCkPJG0gpgFkvhW0K42/KYVbUkXqPvFCtluDM3DyOAmhxPS80CnD5b8PLw4Mc4xvpWZ9Rsz9jyhLxzMjLstIKJc48l8C95Re5hB7icLpxWk+ZtLdzShjzz4NaG79WxI498mxrN5bD6Qx963mHEpevi0tYPMmCknkhl1jyrJDpgxXRZ2C8aTVTi7GiGPqeKNqGbM+T6CM7I8NLH1mWBQl105WGfCzYsU+POYH8nDdu35gzuteZCxCGamewZ0kgXSgCl1fq5d7TZgsDygN7I4GRm3GlkfMaGanEAmfN4589DWpya8aU2FP4/N+fSMr/Q4PZM6UwOOT6ORNaCVPDg24MZSOhgwoAy1n6FGLJaNnBGyLNiN+NuYAooJ3faPIsSkAzGtpMJ16CgPvvVosUJc8ytZz9alR1NtYO2kGgZE/3sxYGewAYWy2kWKhwyM6w2gXXIruY+zAQVhLeiU1L+hjvkxHaZIQdU0N3T4840OavWQXzdE6EH/v3Vcj8gL6n4DBT0+RP+6UreZAftuJ28rt9QAORx+WlSirwPitYzPtdhK7WwhHZtr6pB4dSSxfDo2D9CBVnNeVT2bY+lZPPVYKCeKBgnN6AsnDdJGjA7M/qxhPKtF3250YqTFlir+e9c7tIz/dJDHSAt1jPN17L2Mnq1HjUaLiqSUqqnBeor/IzUYSari3zYNm6Nr2Hxby3hUy3y+FkdTI0fXE7SQsa+JDpb3FPDV+KQaHFE+VA1azdVuqBHHRREU1LD3AmT9y2iENGzerAF16d2/kc8edNKmxfjHMQT1taiSVZU4WhV4OnayqVhdq1FqDCVFNQ7TccEJNeR29lWNJmuP8drOGhCzrm6zXIOUGAqWGnyM5DZe+6Fhvl4JL3lArGJ9XwXZvp5XIYnKwT8V4yQ1Au4GJ9fbqkaU/MKE3EcWYA0qnNG8WR2iYb5WCfq2r+wtJXZyQ6TwP0rI48tOKsY1KjbHV7F8U6Eecb3x3dRoTsdse9VMf9TI2aiy2r2U7H2dks0plSDmKPitWonWs6nTU+FRGfriQoWutqHEcqmYvqkwXy4MFb6NpxWvBnd8P+kgCuSaoqulvFYgfKd/fj1vJSLlQYsS/Q+sapy5XolvDXpPCX2ihK/8Ak8FuT0MViFzxsPN99aoMCxzUN79yyrMlTdWAepun0Qr8CH++ciHpxQoIwdUgRkUkxspYR5IB81KuGl7jlOicFoHQg5K5gOU0FGZ6ahiXJ4LGdeEXMjp2VSBISvpihRI9qANRoGRNM3tCgS3uHHVuyLZl7t0sKjE1bPbPu2cqQR1U2N3KSHbnBo5bB6Xg+ryi9McNl/LYXO/XMivDSbmsjljLvMFCkR9bEakQQFZfmco8D904vliAQAAAACAAAAUNAAAVgoAAA==eJxNm71qZFcWRivqyFlHyhw5cqbIgdqKHFXWkbOOFDnrqLMCgcFQgWFgoMwEDQOCgQkMBzZs2OrZD1B+AL2AXqBfYHx+9neWA7OSBYt7v9P1d3U4fL4/HD7n4e//bm//LX54eBL/cfmP+K/rf8WHw59wG1yD63ADboI/3/91/ZcaintDcW8o7g3FvWG7Da7BdbgBN8Gf7/+4XNRQ3BuKe0NxbyjuDdttcA2uww24Cf58//DwTzUU94bi3lDcG4p7w3YbXIPrcANugj/f397+Qw3FvaG4NxT3huLesN0G1+A63ICb4L7J39VQPDf5uxqK5yZ/V8N2G1yD63ADboL7Js9qKJ6bPKuheG7yrIbtNrgG1+EG3AT3Tf6mhuK5yd/UUDw3+ZsattvgGlyHG3AT3Df5qxqK5yZ/VUPx3OSvathug2twHW7ATXDf5KMaiucmH9VQPDf5qIbtNrgG1+EG3AT3TZ7UUDw3eVJD8dzkSQ3bbXANrsMNuAnue/ikhuK5h09qKJ57+KSG7Ta4BtfhBtwE93vxEffiI+7FR9yLj7gXH3Evym1wDa7DDbgJ7mfzFzUUz7P5ixqK59n8RQ3bbXANrsMNuAnu5+JBDcXzXDyooXieiwc1bLfBNbgON+AmuG/ygxqK5yY/qKF4bvKDGrbb4BpchxtwE9w3+bMaiucmf1ZD8dzkz2rYboNrcB1uwE1w3+R7NRTPTb5XQ/Hc5Hs1bLfBNbgON+AmuG/yqIbiucmjGornJo9q2G6Da3AdbsBNcN/kT2oonpv8SQ3Fc5M/qWG7Da7BdbgBN8F9k/dqKJ6bvFdD8dzkvRq22+AaXIcbcBPcN/mDGornJn9QQ/Hc5A9q2G6Da3AdbsBNcN/krRqK5yZv1VA8N3mrhu02uAbX4QbcBPdNfq+G4rnJ79VQPDf5vRq22+AaXIcbcBPcN/mdGornJr9TQ/Hc5Hdq2G6Da3AdbsBNcN/kt2oonpv8Vg3Fc5PfqmG7Da7BdbgBN8F9kzdqKJ6bvFFD8dzkjRq22+AaXIcbcBPcN/lWDcVzk2/VUDw3+VYN221wDa7DDbgJ7pv8Rg3Fc5PfqKF4bvIbNWy3wTW4DjfgJrhv8o0aiucm36iheG7yjRq22+AaXIcbcBPcN3lQQ/Hc5EENxXOTBzVst8E1uA434Ca47+Hr/6qheO5h8tzD5LmHyXMP5Ta4BtfhBtwE93vxqobieS9e1VA878WrGrbb4BpchxtwE9zP5osaiufZfFFD8TybL2rYboNrcB1uwE1wPxdXNRTPc3FVQ/E8F1c1bLfBNbgON+AmuG8y1VA8N5lqKJ6bTDVst8E1uA434Ca4b7Jhkw2bbNhkwyYbNtnUsF2D63ADboL7Jp+wySds8gmbfMImn7DJJzVs1+A63ICb4PF9FDZ5wSYv2OQFm7xgkxc1bNfgOtyAm+DxHQg2ecYmz9jkGZs8Y5NnNWzX4DrcgJvg8bkbmzxhkyds8oRNnrDJkxq2a3AdbsBN8Pishz08YA8P2MMD9vCAPTyoYbsG1+EG3ASPzxe4F0fciyPuxRH34oh7cVTDdg2uww24CR7vaXE2b3E2b3E2b3E2b3E2b9WwXYPrcANugsf7KJyLG5yLG5yLG5yLG5yLGzVs1+A63ICb4PHajU0esMkDNnnAJg/Y5EEN2zW4DjfgJni8XnyphuL1evGlGorX68WXathug2twHW7ATfD4N0oNxevfKDUUr3+j1LDdBtfgOtyAm+BxLnAdjrgOR1yHI67DEdfhiOtwxHU44joccR2OuA5HNFyfcS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+eq+Gw/lubPFRD8drkoRoO+u9PuA2uwXW4ATfB4zrc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc7Ybju90wee3h3W6YvPbwbjeU2+AaXIcbcBM8zoUaite5UEPxOhdq2G6Da3AdbsBN8LgXuA5XXIcrrsMV1+GK63DFdbjiOlxxHa64Dldch6sa/v7fj9VQvDb5YzUUr03+WA3bbXANrsMNuAkerxdqKF6vF2ooXq8Xathug2twHW7ATfB43VRD8XrdVEPxet1Uw3YbXIPrcANugse5UEPxOhdqKF7nQg3bbXANrsMNuAke76PUULzeR6mheL2PUsN2G1yD63ADboLH+0ls8oRNnrDJEzZ5wiZPatiuwXW4ATfB43017sUZ9+KMe3HGvTjjXpzVsF2D63ADboLHv1E4FxeciwvOxQXn4oJzcVHDdg2uww24CR6fs7CHJ+zhCXt4wh6esIcnNWzX4DrcgJvg8XkTZ7PhbDaczYaz2XA2mxq2a3AdbsBN8PjcjU0mNpnYZGKTiU2mGrZrcB1uwE3weL3AJq/Y5BWbvGKTV2zyqobtGlyHG3ATPL6HwSZfsMkXbPIFm3zBJl/UsF2D63ADboLH91HY5Cs2+YpNvmKTr9jkqxq2a3AdbsBN8PheDpv8ik1+xSa/YpNfscmvatiuwXW4ATfB47X7vhqK12v3fTUUr9fu+2rYboNrcB1uwE3w+J5WDcXre1o1FK/vadWw3QbX4DrcgJvg8X21GorX99VqKF7fV6thuw2uwXW4ATfB43t7NRSv7+3VULy+t1fDdhtcg+twA26Cx/soNRSv91FqKF7vo9Sw3QbX4DrcgJvg8TuOGorX7zhqKF6/46hhuw2uwXW4ATfB4/csNRSv37PUULx+z1LDdhtcg+twA26Cx+96aihev+upoXj9rqeG7Ta4BtfhBtwEj/e0aihe72nVULze06phuw2uwXW4ATfB43deNRSv33nVULx+51XDdhtcg+twA26Cx+/daihev3eroXj93q2G7Ta4BtfhBtwEj9/91VC8fvdXQ/H63V8N221wDa7DDbgJHp8v1FC8Pl+ooXh9vlDDdhtcg+twA26Cx3Mgaihez4GooXg9B6KG7Ta4BtfhBtwEj+dh1FC8nodRQ/F6HkYN221wDa7DDbgJHs8FqaF4PRekhuL1XJAattvgGlyHG3ATPD7rqaF4fdZTQ/H6rKeG7Ta4BtfhBtwEj+fE1FC8nhNTQ/F6TkwN221wDa7DDbgJHs/LqaF4PS+nhuL1vJwattvgGlyHG3ATPJ4bVEPxem5QDcXruUE1bLfBNbgON+AmeHzuVkPx+tythuL1uVsN221wDa7DDbgJHs+R4l484l484l484l484l6U2+AaXIcbcBM8nqdVQ/F6nlYNxet5WjVst8E1uA434CZ4PFeshuL1XLEaitdzxWrYboNrcB1uwE3w+A5EDcXrOxA1FK/vQNSw3QbX4DrcgJvg8Zy5GorXc+ZqKF7Pmathuw2uwXW4ATfB43l7NRSv5+3VULyet1fDdhtcg+twA26Cx98dqKF4/d2BGorX3x2oYbsNrsF1uAE3weP7KDUUr++j1FC8vo9Sw3YbXIPrcANugsffoaiheP0dihqK19+hqGG7Da7BdbgBN8Hj73HUULz+HkcNxevvcdSw3QbX4DrcgJvi/wOChtDFAQAAAACAAAAAfQAAxBIAAA==eJxd3UXUdQXdh2GeeOnu7u7u7u6yUaRERQVUFASURsEkDELpVmwFEQxUugQsEAxQBIOO9xt8+xqc+0z+a/3WPbqme529p5nm/39jw515uDNlHx/uLOnsE8OdNZ19crizpbNPGe7s6ezTDneOdPbphjtnOvv0w50rnX2G4c6dzj7jcOdJx4nHfMOdNzuP+dPZeSyQzs5jwXR2Hguls/NYOJ2dxyLp7DwWTWfnsVg6O7fF03HiseRwl8jOY6l0dh5Lp7PzWCadncey6ew8lktn57F8OjuPFdLZeayYzr74cFdKx4nHKsNdOTuPVdPZeayWzs5j9XR2Hmuks/NYM52dx1rp7DzWTmfnsU46O7d103Hisf5w18vOY4N0dh4bprPz2CidncfG6ew8Nkln57FpOjuPzdLZeWyezs5ti3SceGw13C2z89g6nZ3HNunsPLZNZ+exXTo7j+3T2XnskM7OY8d09s2Hu1M6O7ed03Hisetwd8nOY7d0dh67p7Pz2COdncee6ew89kpn57F3OjuPfdLZeeybzs5tv3SceLxpuPtn5/HmdHYeb0ln5/HWdHYeb0tn5/H2dHYe70hn53FAOjuPd6azc3tXOk483j3cA7PzOCidncfB6ew8Dkln53FoOjuPw9LZebwnnf2A4R6ezs7jvens3N6XjhOPI4b7/uw8PpDOzuOD6ew8PpTOzuPIdHYeR6Wz8zg6nZ3Hh9PZeXwknZ3bR9Nx4vGx4R6TncfH09l5HJvOzuO4dHYen0hn53F8OjuPE9LZeZyYzs7jk+ns3D6VjhOPk4d7UnYep6Sz8zg1nZ3HaensPE5PZ+dxRjr7CcM9M52dx6fT2Xl8Jp2d21npOPH47HDPzs7jc+nsPD6fzs7jC+nsPL6Yzs7jS+nsPM5JZ+dxbjo7j/PS2bmdn44Tj68M98vZeXw1nZ3H19LZeVyQzs7jwnR2Hhels/O4OJ2dx9fT2Xl8I52d2yXpOPG4bLiXZudxeTo7jyvS2Xlcmc7O46p09ouGe3U6O49r0tl5XJvOzuO6dHZu16fjxOObw70hO49vpbPzuDGdnce309l5fCedncd309l5fC+dncf309l5/CCdndsP03Hi8ePh/ig7j5vS2XncnM7O4yfp7DxuSWfn8dN0dh63prPzuC2dncfP0tm5/TwdJx6/HO4vsvO4PZ2dx6/S2Xn8Op39luH+Jp2dxx3p7DzuTGfncVc6O4+709m53ZOOE4/7hntvdh73p7PzeCCdnceD6ew8Hkpn5/HbdHYeD6ez83gknZ3Ho+ns3H6XjhOPPwz399l5/DGdncef0tl5PJbOzuPxdHYef05n5/FEOjuPJ9PZefwlnZ3bX9Nx4vH34f4tO4+n0tl5PJ3O/thw/5HOzuOf6ew8nkln5/GvdHYez6az83gunZ3bv9Nx4vHf4f4nO4//pbPzeD6dnccL6ew8Xkxn5/FSOjuPl9PZebySzs7j1XR2bq+l48TjjeG+np3H1HR2Hh7YTc3OY2xstLPzGB8b7ew8JsZGOzuPybHRzs5jythoZ+cx7dhoZ+c23dhox4nHDMM+/djozmPGsdHOzmOmsdFumnjMnG4sHrOkG4/HrOkm4jFbusl4zJ5uSjzmSGfnNmc6TjzmHu5c2XnMk87OY950dh7zpbPzmD+dnccC6ew8Fkxn57FQOjuPhdPZuS2SjhOPxYa7aHYei6ez81ginZ3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dm7Lp+PEY8XhrpCdx0rp7DxWTmfnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3bWuk48VhnuGtn57FuOjuP9dLZeayfzs5jg3R2Hhums/PYKJ2dx8bp7Dw2SWfntmk6Tjw2H+5m2Xlskc7OY8t0dh5bpbPz2Dqdncc26ew8tk1n57FdOjuP7dPZue2QjhOPnYa7Y3YeO6ez89glnZ3HrunsPHZLZ+exezo7jz3S2Xnsmc7OY690dm57p+PEY9/h7pOdx37p7Dz2T2fn8aZ0dh5vTmfn8ZZ0dh5vTWfn8bZ0dh5vT2fn9o50nHi8c7gHZOfxrnR2Hgems/N4dzo7j4PS2XkcnM7O45B0dh6HprPzOCydndt70nHi8d7hHp6dx/vS2Xm8P52dxxHp7Dw+kM7O44Pp7Dw+lM7O48h0dh5HpbNzOzodJx4fGe6Hs/P4aDo7j2PS2Xl8LJ2dx8fT2Xkcm87O47h0dh6fSGfncXw6O7cT0nHi8cnhnpidx6fS2XmclM7O4+R0dh6npLPzODWdncdp6ew8Tk9n53FGOju3M9Nx4vGZ4X46O4+z0tl5nJ3OzuOz6ew8PpfOzuPz6ew8vpDOzuOL6ew8vpTOzu2cdJx4nDfcc7PzOD+dnceX09l5fCWdncdX09l5fC2dnccF6ew8Lkxn53FROju3i9Nx4vGN4X49O49L0tl5XJrOzuOydHYel6ez87ginZ3HlensPK5KZ+dxdTo7t2vSceJx3XCvzc7j+nR2Hjeks/P4Zjo7j2+ls/O4MZ2dx7fT2Xl8J52dx3fT2bl9Lx0nHj8Y7vez8/hhOjuPH6Wz8/hxOjuPm9LZedyczs7jJ+nsPG5JZ+fx03R2brem48TjZ8O9LTuPn6ez8/hFOjuPX6az87g9nZ3Hr9LZefw6nZ3Hb9LZedyRzs7tznSceNw93Luy87gnnZ3HvensPO5LZ+dxfzo7jwfS2Xk8mM7O46F0dh6/TWfn9nA6TjweHe4j2Xn8Lp2dx+/T2Xn8IZ2dxx/T2Xn8KZ2dx2Pp7DweT2fn8ed0dm5PpOPE4y/DfTI7j7+ms/P4Wzo7j7+ns/N4Kp2dx9Pp7Dz+kc7O45/p7DyeSWfn9q90nHg8N9xns/P4dzo7j/+ks/P4bzo7j/+ls/N4Pp2dxwvp7DxeTGfn8VI6O7eX03Hi8epwX8nO47V0dh6vp7PzeCOdncfUdHYe/rA4NTuPsfHR7oV4jI+Pdi/GY2J8tHspbpPjo90r8Zh22KeMj+48phsf7V6Lx/Tjo93r8ZhhfLR7I24zjo92U+M20/hoN008Zk43Fo9Z0o3HY9Z0dm6zpZsSjzmGO3t2HnOmmy4ec6Wz85g7nZ3HPOnsPOZNZ+cxXzo7j/nT2XkskM7ObcF0nHgsPNyFsvNYJJ2dx6Lp7DwWS2fnsXg6O48l0tl5LJnOzmOpdHYeS6ezc1smHSceyw132ew8lk9n57FCOjuPFdPZeayUzs5j5XR2Hquks/NYNZ2dx2rp7NxWT8eJx5rDXSM7j7XS2Xmsnc7OY510dh7rprPzWC+dncf66ew8Nkhn57FhOju3jdJx4rHJcDfOzmPTdHYem6Wz89g8nZ3HFunsPLZMZ+exVTo7j63T2Xlsk87Obdt0nHhsP9ztsvPYIZ2dx47p7Dx2SmfnsXM6O49d0tl57JrOzmO3dHYeu6ezc9sjHSceew13z+w89k5n57FPOjuPfdPZeeyXzs5j/3R2Hm9KZ+fx5nR2Hm9JZ+f21nSceLx9uG/LzuMd6ew8Dkhn5/HOdHYe70pn53FgOjuPd6ez8zgonZ3Hwens3A5Jx4nHYcM9NDuP96Sz8zg8nZ3He9PZebwvnZ3H+9PZeRyRzs7jA+nsPD6Yzs7tQ+k48ThquEdm53F0OjuPD6ez8/hIOjuPj6az8zgmnZ3Hx9LZeXw8nZ3Hsens3I5Lx4nH8cP9RHYeJ6Sz8zgxnZ3HJ9PZeXwqnZ3HSensPE5OZ+dxSjo7j1PT2bmdlo4TjzOGe3p2Hmems/P4dDo7j8+ks/M4K52dx9np7Dw+m87O43Pp7Dw+n87O7QvpOPH40nC/mJ3HOensPM5NZ+dxXjo7j/PT2Xl8OZ2dx1fS2Xl8NZ2dx9fS2bldkI4Tj4uGe2F2Hhens/P4ejo7j2+ks/O4JJ2dx6Xp7DwuS2fncXk6O48r0tm5XZmOE4+rh3tVdh7XpLPzuDadncd16ew8rk9n53FDOjuPb6az8/hWOjuPG9PZuX07HSce3x3ud7Lz+F46O4/vp7Pz+EE6O48fprPz+FE6O48fp7PzuCmdncfN6ezcfpKOE4+fDveW7DxuTWfncVs6O4+fpbPz+Hk6O49fpLPz+GU6O4/b09l5/Cqdnduv03Hiccdwf5Odx53p7DzuSmfncXc6O4970tl53JvOzuO+dHYe96ez83ggnZ3bg+k48fjtcB/KzuPhdHYej6Sz83g0nZ3H79LZefw+nZ3HH9LZefwxnZ3Hn9LZuT2WjhOPPw/38ew8nkhn5/FkOjuPv6Sz8/hrOjuPv6Wz8/h7OjuPp9LZeTydzs7tH+k48XhmuP/MzuNf6ew8nk1n5/FcOjuPf6ez8/hPOjuP/6az8/hfOjuP59PZub2QjhOPl4b7YnYeL6ez83glnZ3Hq+nsPF5LZ+fxejo7jzfS2XlMTWfn4YWtU7NzG5sY7V6Mx8Swj0+M7jwmJ0a7l+MxZWK0eyUe006Mdq/GY7qJ0e61eEw/Mdq9Ho8ZJka7N+I248RoNzVuM02MdnZuM6cbj8esw50lO4/Z0k3GY/Z0U+IxR7pp4zFnuuniMVc6O4+509l5zJPOzmPedHZu86XjxGOB4c6fnceC6ew8Fkpn57FwOjuPRdLZeSyazs5jsXR2Houns/NYIp2d25LpOPFYerhLZeexTDo7j2XT2Xksl87OY/l0dh4rpLPzWDGdncdK6ew8Vk5n57ZKOk48Vhvuqtl5rJ7OzmONdHYea6az81grnZ3H2unsPNZJZ+exbjo7j/XS2bmtn44Tjw2Hu0F2Hhuls/PYOJ2dxybp7Dw2TWfnsVk6O4/N09l5bJHOzmPLdHZuW6XjxGOb4W6dnce26ew8tktn57F9OjuPHdLZeeyYzs5jp3R2Hjuns/PYJZ2d267pOPHYfbi7ZeexRzo7jz3T2Xnslc7OY+90dh77pLPz2Dedncd+6ew89k9n5/amdJx4vGW4b87O463p7Dzels7O4+3p7Dzekc7O44B0dh7vTGfn8a50dh4HprNze3c6TjwOHu5B2Xkcks7O49B0dh6HpbPzeE86O4/D09l5vDedncf70tl5vD+dndsR6Tjx+OBwP5Cdx4fS2Xkcmc7O46h0dh5Hp7Pz+HA6O4+PpLPz+Gg6O49j0tm5fSwdJx7HDvfj2Xkcl87O4xPp7DyOT2fncUI6O48T09l5fDKdncen0tl5nJTOzu3kdJx4nDrcU7LzOC2dncfp6ew8zkhn53FmOjuPT6ez8/hMOjuPs9LZeZydzs7ts+k48fj8cD+XnccX0tl5fDGdnceX0tl5nJPOzuPcdHYe56Wz8zg/nZ3Hl9PZuX0lHSceXxvuV7PzuCCdnceF6ew8Lkpn53FxOjuPr6ez8/hGOjuPS9LZeVyazs7tsnSceFwx3Muz87gynZ3HVensPK5OZ+dxTTo7j2vT2Xlcl87O4/p0dh43pLNz+2Y6TjxuHO63svP4djo7j++ks/P4bjo7j++ls/P4fjo7jx+ks/P4YTo7jx+ls3P7cTpOPG4e7k3ZefwknZ3HLensPH6azs7j1nR2Hrels/P4WTo7j5+ns/P4RTo7t1+m48TjV8O9PTuPX6ez8/hNOjuPO9LZedyZzs7jrnR2Hnens/O4J52dx73p7NzuS8eJxwPDvT87jwfT2Xk8lM7O47fp7DweTmfn8Ug6O49H09l5/C6dncfv09m5/SEdJx5/Gu4fs/N4LJ2dx+Pp7Dz+nM7O44l0dh5PprPz+Es6O4+/prPz+Fs6O7e/p+PE4+nhPpWdxz/S2Xn8M52dxzPp7Dz+lc7O49l0dh7PpbPz+Hc6O4//pLNz+286TjyeH+7/svN4IZ2dx4vp7DxeSmfn8XI6O49X0tl5vJrOzuO1dHYer6ezc3sjHScePkg5NTuPscnR7oV4jE+Odi/GY2JytHspHpOTo93L8ZgyOdq9Eo9pJ0e7V+Mx3eRo91o8pp8c7V6P2wyTo93UuM003BnjxGPmdGPxmCXdeDxmTTcRj9nSTcZj9nRT4jFHumnjMWc6O4+50tm5zZ2OE495hztPdh7zpbPzmD+dnccC6ew8Fkxn57FQOjuPhdPZeSySzs5j0XR2boul48RjieEunp3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dh7Lp7PzWCGdnduK6TjxWHm4K2XnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3HWunsPNZOZ+e2TjpOPNYb7rrZeayfzs5jg3R2Hhums/PYKJ2dx8bp7Dw2SWfnsWk6O4/N0tm5bZ6OE48th7tFdh5bpbPz2Dqdncc26ew8tk1n57FdOjuP7dPZeeyQzs5jx3R2bjul48Rjl+HunJ3HrunsPHZLZ+exezo7jz3S2Xnsmc7OY690dh57p7Pz2Cedndu+6f4PYjaGvg==AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/Lambda/Lambda_300000.pvtu ADDED Viewed

	@@ -0,0 +1,19 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/Surf.pvd ADDED Viewed

	@@ -0,0 +1,9 @@

+<?xml version="1.0"?>
+<VTKFile type="Collection" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+   <Collection>
+    <DataSet timestep="300000" group="" part="0"
+             file="Surf/Surf_300000.vtu"/>
+   </Collection>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/config.txt ADDED Viewed

	@@ -0,0 +1,78 @@

+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.4
+variable   Ma equal 3.9000000000000004
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    vo equal ${Ma}*${sos}
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    fnum ${Fnum}
+timestep    ${tstep}
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_grid    ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+balance_grid  rcb cell
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+create_particles air n 0
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+write_grid    grid/final-grid.dat
+write_surf    surf/geom.surf

CylinderKnMa/Kn0p40/simulation0870_Kn0p40Ma3p9/cylinder.surf ADDED Viewed

	@@ -0,0 +1,410 @@

+ surf file from Pointwise
+         200 points
+         200 lines
+ Points
+       1  0.5  0.0
+       2  0.499753280182866E+000 -0.157053795390643E-001
+       3  0.499013364214136E+000 -0.313952597646568E-001
+       4  0.497780982301540E+000 -0.470541566592573E-001
+       5  0.496057350657239E+000 -0.626666167821523E-001
+       6  0.493844170297569E+000 -0.782172325201156E-001
+       7  0.491143625364344E+000 -0.936906572928624E-001
+       8  0.487958380969374E+000 -0.109071620698271E+000
+       9  0.484291580564315E+000 -0.124344943582427E+000
+      10  0.480146842838471E+000 -0.139495553019615E+000
+      11  0.475528258147577E+000 -0.154508497187474E+000
+      12  0.470440384477113E+000 -0.169368960122646E+000
+      13  0.464888242944126E+000 -0.184062276342339E+000
+      14  0.458877312841991E+000 -0.198573945317390E+000
+      15  0.452413526233010E+000 -0.212889645782536E+000
+      16  0.445503262094184E+000 -0.226995249869774E+000
+      17  0.438153340021932E+000 -0.240876837050858E+000
+      18  0.430371013501972E+000 -0.254520707875186E+000
+      19  0.422163962751007E+000 -0.267913397489498E+000
+      20  0.413540287137281E+000 -0.281041688926065E+000
+      21  0.404508497187474E+000 -0.293892626146237E+000
+      22  0.395077506187845E+000 -0.306453526826488E+000
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