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T0NGXU commited on Dec 29, 2025

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CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_5_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_6_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_7_300000.vtu +27 -0
CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_8_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_9_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/output/surf.300000.dat +209 -0
CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/surf/Surf_300000.vtu +38 -0
CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/surf/geom.surf +610 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Grid.pvd +9 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda.pvd +9 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_10_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_11_300000.vtu +27 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_1_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_2_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_300000.pvtu +29 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_3_300000.vtu +27 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_4_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_5_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_6_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_7_300000.vtu +27 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_8_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_9_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Surf.pvd +9 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/config.txt +78 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/cylinder.surf +410 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/gas.species +14 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/gas.vhs +9 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_0_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_10_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_11_300000.vtu +35 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_1_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_2_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_300000.pvtu +37 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_3_300000.vtu +35 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_4_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_6_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_7_300000.vtu +35 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_8_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_9_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/final-grid.dat +0 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/log.sparta +319 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/mir.txt +3 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/output/surf.300000.dat +209 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/runmpirun128.sh +18 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/runmpirun64.sh +18 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/slurm-28428430.out +221 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/surf/Surf_300000.vtu +38 -0
CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/surf/geom.surf +610 -0
CylinderKnMa/Kn0p14/simulation0230_Kn0p14Ma4p9/Grid.pvd +9 -0

CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_5_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_6_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_7_300000.vtu ADDED Viewed

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AgAAAACAAAAALwAADBMAABsHAAA=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AQAAAACAAADAKwAAYwcAAA==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AQAAAACAAAB4BQAAFAAAAA==eJzj5BwFo2AUjIJRQE8AALsOMTk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_8_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/Lambda/Lambda_9_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/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       0.0153      0.76913     -0.76904     0.012081  -0.00018024    -0.011473    -0.012082   9.5444e-06       71.729            0            0
+129     -0.31871      0.38526     -0.30645      0.39508      0.30585       15.796       9.8764      -12.328       1.4471       1.1594      0.17786     -0.17543       1889.2            0            0
+2      0.49975    -0.015705      0.49901    -0.031395      0.01457      0.72027     -0.71947      0.03393  -1.2513e-05  -0.00026534    -0.011301   0.00052877       56.222            0            0
+130     -0.30645      0.39508     -0.29389      0.40451       0.2914       15.009       9.0117      -12.003       1.4952       1.1227      0.16504     -0.17089       1794.9            0            0
+3      0.49901    -0.031395      0.49778    -0.047054      0.01498      0.73795     -0.73568     0.057899   -0.0017957    -0.022816    -0.011584   0.00055106       51.491            0            0
+131     -0.29389      0.40451     -0.28104      0.41354      0.28347       14.473       8.3221      -11.841       1.5595        1.096      0.15521     -0.16878       1699.4            0            0
+4      0.49778    -0.047054      0.49606    -0.062667      0.01525      0.76411      -0.7595      0.08385  -0.00076064   -0.0068898    -0.011942    0.0012088       66.894            0            0
+132     -0.28104      0.41354     -0.26791      0.42216      0.26066       13.373       7.3419      -11.177       1.5152      0.99532      0.13912     -0.15993       1600.8            0            0
+5      0.49606    -0.062667      0.49384    -0.078217      0.01382      0.68484     -0.67801     0.096495    0.0010046    0.0070585    -0.010634    0.0016265       51.929            0            0
+133     -0.26791      0.42216     -0.25452      0.43037        0.247       12.727         6.65      -10.852       1.5336      0.93981      0.12854     -0.15569       1530.5            0            0
+6      0.49384    -0.078217      0.49114    -0.093691      0.01426      0.70308     -0.69261      0.12088   -0.0029908    -0.017136    -0.010926    0.0016295       64.802            0            0
+134     -0.25452      0.43037     -0.24088      0.43815      0.23622       12.115       6.0024      -10.523       1.5312      0.87336      0.11833     -0.15158       1446.5            0            0
+7      0.49114    -0.093691      0.48796     -0.10907      0.01331      0.66762     -0.65375      0.13538   -0.0081466    -0.039338    -0.010397    0.0015086        49.24            0            0
+135     -0.24088      0.43815       -0.227       0.4455      0.21895       11.243       5.2611      -9.9364        1.486      0.78677      0.10598     -0.14372       1360.7            0            0
+8      0.48796     -0.10907      0.48429     -0.12434      0.01377      0.68495     -0.66602       0.1599    -0.006218      -0.0259    -0.010559    0.0021047       64.602            0            0
+136       -0.227       0.4455     -0.21289      0.45241      0.20819       10.653       4.6869      -9.5671       1.4764      0.72328     0.096808     -0.13891       1271.2            0            0
+9      0.48429     -0.12434      0.48015      -0.1395      0.01246      0.62636     -0.60416      0.16528   -0.0061145    -0.022351   -0.0095857     0.002245        54.81            0            0
+137     -0.21289      0.45241     -0.19857      0.45888       0.1931       9.8682       4.0609      -8.9939        1.461      0.65967     0.086735     -0.13091       1190.4            0            0
+10      0.48015      -0.1395      0.47553     -0.15451      0.01237      0.60639     -0.57958       0.1783    0.0010844     0.003525   -0.0090866     0.002856       41.925            0            0
+138     -0.19857      0.45888     -0.18406      0.46489      0.17861       9.2119       3.5252      -8.5107       1.4789      0.61257     0.078601     -0.12406       1162.7            0            0
+11      0.47553     -0.15451      0.47044     -0.16937      0.01229      0.60619      -0.5735      0.19635   -0.0056036    -0.016367   -0.0090962    0.0028271        52.41            0            0
+139     -0.18406      0.46489     -0.16937      0.47044      0.17054       8.7597       3.0963      -8.1942       1.4085      0.53224     0.070759     -0.12035       1086.2            0            0
+12      0.47044     -0.16937      0.46489     -0.18406      0.01172      0.57435     -0.53727      0.20302    -0.005985    -0.015839   -0.0085331    0.0029401        46.01            0            0
+140     -0.16937      0.47044     -0.15451      0.47553      0.15799        8.085       2.6189      -7.6491       1.4203      0.48626     0.063444     -0.11251       1008.5            0            0
+13      0.46489     -0.18406      0.45888     -0.19857      0.01118      0.55166     -0.50967      0.21111    0.0008937    0.0021576   -0.0079915    0.0033499       47.393            0            0
+141     -0.15451      0.47553      -0.1395      0.48015      0.14577       7.4819          2.2      -7.1511       1.3356      0.41089     0.055535     -0.10587       970.39            0            0
+14      0.45888     -0.19857      0.45241     -0.21289      0.01103      0.54693     -0.49847      0.22507    0.0099347     0.022003   -0.0076736    0.0038808       50.625            0            0
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CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/surf/Surf_300000.vtu ADDED Viewed

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

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AQAAAACAAABABgAAhwUAAA==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AQAAAACAAABABgAArgUAAA==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AQAAAACAAABABgAA1wUAAA==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AQAAAACAAABABgAA8QUAAA==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AQAAAACAAABABgAANwYAAA==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AQAAAACAAABABgAAJAYAAA==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+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p14/simulation0228_Kn0p14Ma4p7/surf/geom.surf ADDED Viewed

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

+# Surface element file written by SPARTA
+400 points
+200 lines
+Points
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AQAAAACAAAAwJQAAZh0AAA==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AQAAAACAAAB4PAAAQAwAAA==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AgAAAACAAADAFAAADBMAAD8DAAA=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+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_1_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_2_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_300000.pvtu ADDED Viewed

	@@ -0,0 +1,29 @@

+<?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"/>
+<Piece Source="Lambda_2_300000.vtu"/>
+<Piece Source="Lambda_3_300000.vtu"/>
+<Piece Source="Lambda_4_300000.vtu"/>
+<Piece Source="Lambda_5_300000.vtu"/>
+<Piece Source="Lambda_6_300000.vtu"/>
+<Piece Source="Lambda_7_300000.vtu"/>
+<Piece Source="Lambda_8_300000.vtu"/>
+<Piece Source="Lambda_9_300000.vtu"/>
+<Piece Source="Lambda_10_300000.vtu"/>
+<Piece Source="Lambda_11_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

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

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="1515"                 NumberOfCells="1400"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="301"                  RangeMax="31400"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271"               RangeMax="5.9825"               offset="2912"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.9825"              RangeMax="-1.5088"              offset="3204"                />
+        <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0027539"            RangeMax="0.011248"             offset="4208"                />
+        <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.078611"             RangeMax="0.32108"              offset="17932"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.7077969074"         RangeMax="7.8102496759"         offset="29680"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="34772"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="43728"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="46276"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAADAKwAAWSIAAA==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AgAAAACAAAAALwAADBMAABsHAAA=eJxd3Vf4vwP9x3HfYe+999577733rJAKIVKpFBUNexZFUYmyRxENinZ2RamMiEILkTJ//4P//Tj4PD8n7+t6Xc+zx+F9fe57qqn+/zc23NmGO2v28eHOns4+Mdw50tknhztnOvvUw50rnX2a4c6dzj7tcOdJZ59uuPOms08/3PnS2WcY7vzp7DMOd4F09pmGu2A6+8zDXSidfZbhLpyOE49Fh7tIdh6LpbPzWDydnccS6ew8lkxn57FUOjuPpdPZeSyTzs5j2XR2Hsuls/NYPp2dxwrp7DxWTGfntlI6TjxWGe7K2Rcb7qrp7DxWS2fnsXo6O4810tl5rJnOzmOtdHYea6ez81gnnZ3HuunsPNZLZ+exfjo7jw3S2bltmI4Tj42Hu1F2Hpuks/PYNJ2dx2bp7Dw2T2fnsUU6O48t09l5bJXOzmPrdHYe26Sz89g2nZ3HdunsPLZPZ+e2QzpOPHYa7o7Zeeyczs5jl3T2zYa7azo7j93S2Xnsns7OY490dh57prPz2Cudncfe6ew89kln57FvOjuP/dLZub0lHScebxvuW7Pz2D+dnccB6ew8Dkxn5/H2dHYeB6Wz83hHOjuPd6az83hXOjuPg9PZeRySzs7j0HR2Hu9OZ+d2WDpOPI4Y7uHZebwnnZ3HkensPI5KZ+fx3nT2g4Z7dDo7j/els/N4fzo7jw+ks/M4Jp2dxwfT2Xl8KJ2dx4fT2bkdm44Tj48O9yPZeRyXzs7j+HR2Hh9LZ+fx8XR2Hp9IZ+dxQjo7jxPT2Xl8Mp2dx6fS2Xl8Op2dx2fS2XmclM7O7eR0nHicOtxTsvM4LZ2dx+np7DzOSGfncWY6O4+z0tl5nJ3OfuJwz0ln53FuOjuPz6az8/hcOjuP89LZeZyfzs7t8+k48bhguF/IzuPCdHYeX0xn5/GldHYeF6Wz87g4nZ3Hl9PZeXwlnZ3HV9PZeVySzs7ja+nsPC5NZ+dxWTo7t6+n48Tj8uF+IzuPK9LZeVyZzs7jqnR2Hlens/O4Jp2dx7Xp7DyuS2fncX06+yXDvSGdncc309l5fCudnceN6ezcbkrHicfNw/12dh63pLPz+E46O4/vprPz+F46O4/vp7PzuDWdncdt6ew8fpDOzuOH6ew8bk9n53FHOjuPH6Wzc/txOk48fjrcn2Tn8bN0dh4/T2fn8Yt0dh6/TGfncWc6O4+70tl53J3OzuOedHYe96az87gvnf2O4d6fzs7jV+ns3H6djhOPB4b7m+w8Hkxn5/HbdHYev0tn5/FQOjuP36ez8/hDOjuPP6az83g4nZ3HI+nsPB5NZ+fxWDo7jz+ls3N7PB0nHn8e7hPZeTyZzs7jqXR2Hn9JZ+fx13R2Hk+ns/N4Jp2dx7Pp7Dz+ls7O4+/p7Dz+kc7O45/p7Dz+lc7++HCfS8eJxwvDfT47j3+ns/N4MZ2dx0vp7Dz+k87O4+V0dh7/TWfn8b90dh6vpLPzeDWdncdr6ew8Xk9n5/FGOju3N9Nx4uGB35TsPMbGRjs7j/Gx0c7OY2JstLPzmBwb7ew8ph4b7ew8phkb7ew8ph0b7ew8phsb7ew8ph8b7ew8Zhgb7ew8Zhwb7ew8Zhob7ezcZh4b7TjxmHW4s8SJx2zpxuIxe7rxeMyRzs5jznR2HnOls/OYO52dxzzp7DzmTWfnMV86O4/509l5LJDOzmPBdHZuC6XjxGOR4S6cncei6ew8Fktn57F4OjuPJdLZeSyZzs5jqXR2Hkuns/NYJp2dx7Lp7DyWS2fnsXw6O48V0tm5rZiOE4+Vh7tSdh6rpLPzWDWdncdq6ew8Vk9n57FGOjuPNdPZeayVzs5j7XR2Huuks/NYN52dx3rp7DzWT2fntkE6Tjw2Gu6G2XlsnM7OY5N0dh6bprPz2Cydncfm6ew8tkhn57FlOjuPrdLZeWydzs5jm3R2Htums/PYLp2d2/bpOPHYcbg7ZOexUzo7j53T2Xnsks7OY9d0dh67pbPz2D2dncce6ew89kxn57FXOjuPvdPZeeyTzs5j33R2bvul48TjrcN9S3Yeb0tn57F/OjuPA9LZeRyYzs7j7ensPA5KZ+fxjnR2Hu9MZ+fxrnR2Hgens/M4JJ2dx6Hp7NzenY4Tj8OHe1h2Hkeks/N4Tzo7jyPT2Xkclc7O473p7DyOTmfn8b50dh7vT2fn8YF0dh7HpLPz+GA6O48PpbNz+3A6Tjw+Mtxjs/P4aDo7j+PS2Xkcn87O42Pp7Dw+ns7O4xPp7DxOSGfncWI6O49PprPz+FQ6O49Pp7Pz+Ew6O7eT0nHiccpwT87O49R0dh6npbPzOD2dnccZ6ew8zkxn53FWOjuPs9PZeZyTzs7j3HR2Hp9NZ+fxuXR2Huels3M7Px0nHl8Y7uez87ggnZ3HhensPL6Yzs7jS+nsPC5KZ+dxcTo7jy+ns/P4Sjo7j6+ms/O4JJ2dx9fS2Xlcms7O7bJ0nHh8Y7hfz87j8nR2Hleks/O4Mp2dx1Xp7DyuTmfncU06O49r09l5XJfOzuP6dHYeN6Sz8/hmOjuPb6Wzc7sxHSce3x7uTdl53JzOzuOWdHYe30ln5/HddHYe30tn5/H9dHYet6az87gtnZ3HD9LZefwwnZ3H7ensPO5IZ+f2o3ScePxkuD/OzuOn6ew8fpbOzuPn6ew8fpHOzuOX6ew87kxn53FXOjuPu9PZedyTzs7j3nR2Hvels/O4P52d26/SceLxm+H+OjuPB9LZeTyYzs7jt+nsPH6Xzs7joXR2Hr9PZ+fxh3R2Hn9MZ+fxcDo7j0fS2Xk8ms7O47F0dm5/SseJxxPDfTw7jz+ns/N4Mp2dx1Pp7Dz+ks7O46/p7DyeTmfn8Uw6O49n09l5/C2dncff09l5/COdncc/09m5/SsdJx7PD/e57DxeSGfn8e90dh4vprPzeCmdncd/0tl5vJzOzuO/6ew8/pfOzuOVdHYer6az83gtnZ3H6+ns3N5Ix4nHlOG+mZ2HP2xOyc5jbHy0s/MYHx/t7Dwmxkc7O4/J8dHOzmPq8dHOzmOa8dHOzmPa8dHOzmO68dHOzmP68dHu1XjMMD7avRaPGcdHu9fjNtP4aPdm3GYZ9pnjxGPW8dFuqnjMlm4sHrOnG4/HHOnsPOZMZ+cxVzo7j7nT2XnMk87OY950dh7zpbPzmD+dnccC6ezcFkzHicfCw10oO49F0tl5LJrOzmOxdHYei6ez81ginZ3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dh7Lp7NzWyEdJx4rDXfF7DxWTmfnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3HWunsPNZOZ+exTjo7j3XT2Xmsl87Obf10nHhsONwNsvPYKJ2dx8bp7Dw2SWfnsWk6O4/N0tl5bJ7OzmOLdHYeW6az89gqnZ3H1unsPLZJZ+exbTo7t+3SceKxw3C3z85jx3R2Hjuls/PYOZ2dxy7p7Dx2TWfnsVs6O4/d09l57JHOzmPPdHYee6Wz89g7nZ3HPuns3PZNx4nHW4a7X3Yeb01n5/G2dHYe+6ez8zggnZ3HgensPN6ezs7joHR2Hu9IZ+fxznR2Hu9KZ+dxcDo7j0PS2bkdmo4Tj8OG++7sPA5PZ+dxRDo7j/eks/M4Mp2dx1Hp7Dzem87O4+h0dh7vS2fn8f50dh4fSGfncUw6O48PprNz+1A6TjyOHe6Hs/P4SDo7j4+ms/M4Lp2dx/Hp7Dw+ls7O4+Pp7Dw+kc7O44R0dh4nprPz+GQ6O49PpbPz+HQ6O7fPpOPE4+ThnpSdxynp7DxOTWfncVo6O4/T09l5nJHOzuPMdHYeZ6Wz8zg7nZ3HOensPM5NZ+fx2XR2Hp9LZ+d2XjpOPD4/3POz8/hCOjuPC9LZeVyYzs7ji+nsPL6Uzs7jonR2Hhens/P4cjo7j6+ks/P4ajo7j0vS2Xl8LZ2d26XpOPH4+nAvy87jG+nsPC5PZ+dxRTo7jyvT2Xlclc7O4+p0dh7XpLPzuDadncd16ew8rk9n53FDOjuPb6azc/tWOk48bhrujdl5fDudncfN6ew8bkln5/GddHYe301n5/G9dHYe309n53FrOjuP29LZefwgnZ3HD9PZedyezs7tjnScePx4uD/KzuMn6ew8fprOzuNn6ew8fp7OzuMX6ew8fpnOzuPOdHYed6Wz87g7nZ3HPensPO5NZ+dxXzo7t/vTceLx6+H+KjuP36Sz83ggnZ3Hg+nsPH6bzs7jd+nsPB5KZ+fx+3R2Hn9IZ+fxx3R2Hg+ns/N4JJ2dx6Pp7NweS8eJx+PD/VN2Hk+ks/P4czo7jyfT2Xk8lc7O4y/p7Dz+ms7O4+l0dh7PpLPzeDadncff0tl5/D2dncc/0tm5/TMdJx7PDfdf2Xk8n87O44V0dh7/Tmfn8WI6O4+X0tl5/CedncfL6ew8/pvOzuN/6ew8Xkln5/FqOjuP19LZub2ejhOPN4f7RnYeU9LZeXjh7pTsPMYmRjs7j/GJ0c7OY2JitLPzmJwY7ew8pp4Y7ew8ppkY7ew8pp0Y7ew8ppsY7ew8pp8Y7V6NxwwTo52d24wTo90b8Zh52GeaGN15zDIx2k2J26wTo91U8Zgt3Vg8Zk83Ho850tl5zJnOzmOudHYec6ez85gnnZ3HvOnsPOZLZ+cxfzo7twXSceKx0HAXzM5j4XR2Houks/NYNJ2dx2Lp7DwWT2fnsUQ6O48l09l5LJXOzmPpdHYey6Sz81g2nZ3Hcuns3JZPx4nHisNdITuPldLZeayczs5jlXR2Hqums/NYLZ2dx+rp7DzWSGfnsWY6O4+10tl5rJ3OzmOddHYe66azc1svHSceGwx3/ew8Nkxn57FROjuPjdPZeWySzs5j03R2Hpuls/PYPJ2dxxbp7Dy2TGfnsVU6O4+t09l5bJPOzm3bdJx4bD/c7bLz2CGdnceO6ew8dkpn57FzOjuPXdLZeeyazs5jt3R2Hruns/PYI52dx57p7Dz2SmfnsXc6O7d90nHisd9w983O4y3p7Dzems7O423p7Dz2T2fncUA6O48D09l5vD2dncdB6ew83pHOzuOd6ew83pXOzuPgdHZuh6TjxOPdwz00O4/D0tl5HJ7OzuOIdHYe70ln53FkOjuPo9LZebw3nZ3H0ensPN6Xzs7j/ensPD6Qzs7jmHR2bh9Mx4nHh4f7oew8jk1n5/GRdHYeH01n53FcOjuP49PZeXwsnZ3Hx9PZeXwinZ3HCensPE5MZ+fxyXR2Hp9KZ+f26XSceJw03M9k53FyOjuPU9LZeZyazs7jtHR2Hqens/M4I52dx5np7DzOSmfncXY6O49z0tl5nJvOzuOz6ezcPpeOE4/zh3tedh6fT2fn8YV0dh4XpLPzuDCdnccX09l5fCmdncdF6ew8Lk5n5/HldHYeX0ln5/HVdHYel6Szc/taOk48Lhvupdl5fD2dncc30tl5XJ7OzuOKdHYeV6az87gqnZ3H1ensPK5JZ+dxbTo7j+vS2Xlcn87O44Z0dm7fTMeJx43D/VZ2Hjels/P4djo7j5vT2Xncks7O4zvp7Dy+m87O43vp7Dy+n87O49Z0dh63pbPz+EE6O48fprNzuz0dJx4/Gu4d2Xn8OJ2dx0/S2Xn8NJ2dx8/S2Xn8PJ2dxy/S2Xn8Mp2dx53p7DzuSmfncXc6O4970tl53JvOzu2+dJx4/Gq492fn8et0dh6/SWfn8UA6O48H09l5/Dadncfv0tl5PJTOzuP36ew8/pDOzuOP6ew8Hk5n5/FIOju3R9Nx4vGn4T6Wncfj6ew8nkhn5/HndHYeT6az83gqnZ3HX9LZefw1nZ3H0+nsPJ5JZ+fxbDo7j7+ls/P4ezo7t3+k48TjX8P9Z3Yez6Wz83g+nZ3HC+nsPP6dzs7jxXR2Hi+ls/P4Tzo7j5fT2Xn8N52dx//S2Xm8ks7O49V0dm6vpePE443hvp6dx5vp7DympLPz8MHUKdl5jE2OdnYe45OjnZ3HxORoZ+cxOTna2XlMPTna2XlMMzna2XlMOzna2XlMNzna2XlMPzna2bnNMDnavR6PmYZ9xsnRncfMk6Pdm3GbZXK0mxK3WSdHu6niMVu6sXjMnm48HnOks/OYM52dx1zp7DzmTmfnMU86O49509l5zJfOzm3+dJx4LDjcBbLzWCidncfC6ew8Fkln57FoOjuPxdLZeSyezs5jiXR2Hkums/NYKp2dx9Lp7DyWSWfnsWw6O7fl0nHiscJwl8/OY8V0dh4rpbPzWDmdnccq6ew8Vk1n57FaOjuP1dPZeayRzs5jzXR2Hmuls/NYO52dxzrp7NzWTceJx/rDXS87jw3S2XlsmM7OY6N0dh4bp7Pz2CSdncem6ew8Nktn57F5OjuPLdLZeWyZzs5jq3R2Hluns3PbJh0nHtsNd9vsPLZPZ+exQzo7jx3T2XnslM7OY+d0dh67pLPz2DWdncdu6ew8dk9n57FHOjuPPdPZeeyVzs5t73SceOw73H2y89gv3f8BYN+0snicXdFVELYFFUbRH+RTsUVRsRODsFAwsZXu7u7u7u7u7u7u7u7uVDDARGKGedfFt8/NmXlm362ZJpnw7s08/IWGv2D2WYa/cDr7rMNfJJ19tuEvms4++/AXS2efY/iLp7PPOfwl0tnnGv6S6exzD3+pdPZ5hr90Ovu8w18mnX2+4S+bbv7hLzD85Ye/XHYeK6Sz81gxnZ3HSunsPFZOZ+exSjo7j1XT2Xmsls7OY/V0dh5rpLPzWDOdncda6ew81k5n57ZOOk481hv+utl5rJ/OzmODdHYeG6az89gonZ3HxunsPDZJZ+exaTo7j83S2Xlsns7OY4t0dh5bprPz2CqdndvW6Tjx2Hb422TnsV06O4/t09l57JDOzmPHdHYeO6Wz89g5nZ3HLunsPHZNZ+exWzo7j93T2Xnskc7OY890dm57pePEY5/h752dx77p7Dz2S2fnsX86O48D0tl5HJjOzuOgdHYeB6ez8zgknZ3HoensPA5LZ+dxeDo7jyPS2bkdmY4Tj6OHf1R2Hseks/M4Np2dx3Hp7DyOT2fncUI6O48T09l5nJTOzuPkdHYep6Sz8zg1nZ3HaensPE5PZ+d2RjpOPM4a/pnZeZydzs7jnHR2Huems/M4L52dx/np7DwuSGfncWE6O4+L0tl5XJzOzuOSdHYel6az87gsnZ3b5ek48bhy+Fdk53FVOjuPq9PZeVyTzs7j2nR2Htels/O4Pp2dxw3p7DxuTGfncVM6O4+b09l53JLOzuPWdHZut6XjxOOO4d+enced6ew87kpn53F3OjuPe9LZedybzs7jvnR2Hvens/N4IJ2dx4Pp7DweSmfn8XA6O49H0tm5PZqOE4/Hh/9Ydh5PpLPzeDKdncdT6ew8nk5n5/FMOjuPZ9PZeTyXzs7j+XR2Hi+ks/N4MZ2dx0vp7DxeTmfn9ud0nHi8Mvy/ZOfxajo7j7+ms/P4Wzo7j7+ns/P4Rzo7j9fS2Xm8ns7O45/p7Dz+lc7O49/p7Dz+k87O47/p7Nz+l44Tj/8P/43sPN5MZ+fxVjo7j7fT2XlMGI13dh4TjcY7O4+JR+Odncd7RuOdnccko/HOzmM0Gu/sPN47Gu/sPN43Gu/sPN4/Gu/s3CYdjXdvxOODw/6B0fjO40Oj8e7NeHx4NN69FbePjMa7t+P20dF4NyEeH0s3UTw+nm7ieEyWzs7jE+nsPD6Zzs5j8nR2Hp9KZ+fx6XR2bp9Jx4nHZ4c/RXYen0tn5/H5dHYeX0hn5/HFdHYeX0pn5/HldHYeX0ln5/HVdHYeX0tn5/H1dHYe30hn5zFlOju3b6bjxOPbw/9Wdh7fSWfnMVU6O4+p09l5TJPOzmPadHYe301n5/G9dHYe309n5/GDdHYeP0xn5zFdOjuPH6Wzc/txOk48Zhj+9Nl5/CSdncdP09l5/CydncfP09l5/CKdnccv09l5zJjOzuNX6ew8fp3OzuM36ew8fpvOzuN36ezcfp+OE48/Dv8P2Xn8KZ2dx0zp7DxmTmfnMUs6O49Z09l5zJbOzmP2dHYec6Sz85gznZ3HXOnsPOZOZ+cxTzo7t3nTceIx//Dny85jgXR2Hgums/NYKJ2dx8Lp7DwWSWfnsWg6O4/F0tl5LJ7OzmOJdHYeS6az81gqnZ3H0uns3JZJx4nHcsNfNjuP5dPZeayQzs5jxXR2Hiuls/NYOZ2dxyrp7DxWTWfnsVo6O4/V09l5rJHOzmPNdHYea6Wzc1s7HSce6w5/new81ktn57F+OjuPDdLZeWyYzs5jo3R2Hhuns/PYJJ2dx6bp7Dw2S2fnsXk6O48t0tl5bJnOzm2rdJx4bDP8rbPz2Dadncd26ew8tk9n57FDOjuPHdPZeeyUzs5j53R2Hruks/PYNZ2dx27p7Dx2T2fnsUc6O7c903Hisffw98rOY590dh77prPz2C+dncf+6ew8Dkhn53FgOjuPg9LZeRyczs7jkHR2Hoems/M4LJ2dx+Hp7NyOSMeJx1HDPzI7j6PT2Xkck87O49h0dh7HpbPzOD6dnccJ6ew8Tkxn53FSOjuPk9PZeZySzs7j1HR2Hqels3M7PR0nHmcO/4zsPM5KZ+dxdjo7j3PS2Xmcm87O47x0dh7np7PzuCCdnceF6ew8Lkpn53FxOjuPS9LZeVyazs7tsnSceFwx/Muz87gynZ3HVensPK5OZ+dxTTo7j2vT2Xlcl87O4/p0dh43pLPzuDGdncdN6ew8bk5n53FLOju3W9Nx4nH78G/LzuOOdHYed6az87grnZ3H3ensPO5JZ+dxbzo7j/vS2Xncn87O44F0dh4PprPzeCidncfD6ezcHknHicdjw380O4/H09l5PJHOzuPJdHYeT6Wz83g6nZ3HM+nsPJ5NZ+fxXDo7j+fT2Xm8kM7O48V0dh4vpbNzezndO76yPzg=AQAAAACAAADAKwAAYwcAAA==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+  </AppendedData>
+</VTKFile>

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

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="1515"                 NumberOfCells="1400"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="31701"                RangeMax="62800"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271"               RangeMax="5.9825"               offset="2436"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="-1.4737"              RangeMax="2"                    offset="2728"                />
+        <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0087258"            RangeMax="0.012122"             offset="3600"                />
+        <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.24908"              RangeMax="0.34603"              offset="16436"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.5095818413"         RangeMax="6.3301250347"         offset="26980"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="31724"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="40680"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="43228"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AgAAAACAAAAALwAADBMAABsHAAA=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AQAAAACAAADAKwAAYwcAAA==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AQAAAACAAAB4BQAAFAAAAA==eJzj5BwFo2AUjIJRQE8AALsOMTk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_8_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/Lambda/Lambda_9_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/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/Kn0p14/simulation0229_Kn0p14Ma4p8/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 0.14
+variable   Ma equal 4.800000000000001
+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/Kn0p14/simulation0229_Kn0p14Ma4p8/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/Kn0p14/simulation0229_Kn0p14Ma4p8/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/Kn0p14/simulation0229_Kn0p14Ma4p8/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/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_0_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_10_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_11_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="1290"                 NumberOfCells="1190"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="63101"                RangeMax="89490"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271"               RangeMax="5.9825"               offset="2092"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="2.0351"               RangeMax="4.9825"               offset="2376"                />
+        <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="18.206"               RangeMax="68.766"               offset="3272"                />
+        <DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="1.5977e+20"           RangeMax="6.0345e+20"           offset="9364"                />
+        <DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="1.0593e-05"           RangeMax="4.0008e-05"           offset="21188"               />
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+        <DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-82.256"              RangeMax="323.21"               offset="36344"               />
+        <DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-4.1623"              RangeMax="4.305"                offset="42644"               />
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+        <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="64428"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.8673390251"         RangeMax="7.8102496759"         offset="64496"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="68704"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="76344"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="78528"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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eHaz1B1jwdRML3mxgifcZ8H0sQ3+8NsN9ZymuP+nvgzP0gRCXbp/pk6FP9siYTgTzsjQ8Wqg6vGrRP2db8hmLOg2xpEdLfc+iHj9lwPNb5ftaRnrKwOvrMvBmaMZEZep5mNYtK+6ts9T9Kwv9L7R4Xrh+F8aXLPmmZUJ3mzhigqW5wQLPwy18JWPJdy34vrMFDze08NFlGeJ9LCt/y6Lfw7M8t5pFBz2z9NnPLfzyFQv9PaLnT7PoB1damhssE6Uz3ljKR9etzdA/d8zRz1dn8Y+lWekgCz/Pzpp69IfDstJDFh/aMguP3rGo20MWfn+/hf9MVX6Xih+nWMw7k3LMR0Ny6mc56nBIjjrvq++/zvKcx7OmFQFyXZb7Lsmi/8FZeNQvq3ws/OhXi/q+azG3vZfDbx7PEcddOXzsshz8Oy+HTs/IqU/l4Gk8Rx02zqGnT7L0lyey6udZfKWexbf3VXxD8vRTL08evfP0t+U5c0gk5Gdy1OfuHP56Yw5fHJfjvmE59J3PwdetcvDl5/+vu+r0aBa8V+VNJLtlz+ep58156TtPXp08c+qBeXi9QV5zaE51y4k/OeKckaPOl+ToU4Ny6ic5/GVMQc8tgHepIH8umG6b/DGPjt7Og8ftwuGaPP37IsXr5uH1Hnn4tTpHH3o7J5xz8HuLInVeW8DP3yzoeQX617ACOKYLzBebFcjnnTzz3qw8vnBVXvNInnUOy9MHC3l8deu8eFiEXzsVmRu+Kah+BfWbAjiHONDntF6mIP4WFG8e/S/J8/uTeeKdmVefyovfRa67sYhPHFGEh7EifaVfUfNnEf2sLFCHRwvw+/yC/KaA79oF5pc9CswJ6/L49Mfi4Ykl/KB/ieevLcKPRUX0fn1R+BR5rleU/xTlz0Xu/3dB82tBdS3Ar6GKK686rWfUb0v4930l6h/G0fXRWAk/36YkvIomKuPEvxTlG0X2Q/UifBpQpG4hH5rRAs+Ldzcr3/0NcW9v0OXmRv5W4u9PleTTJXQ4XOuHcaCzonRaxJfvKKKDa4vEe2ZRvlwk3/EGvY4w+GbLMFeWDHpOGdbbwZDHf0rUf25J+ijhyyNL8tcS121a0nxSlC7Fk4cN+N9qqN8kA17h+l3d14z2f4a5IGGYI/Yx9K8QD+blkrkg+uKlEjqbVGLffHxJPC4x33xh6G+LDDg8a9D3HKP9qqE/XmjwzaGGfV4gPIoG/w3X7+K9k4HfPQy6+a/4+G/V5xib+ws2621tk8f3hvljmVHfM+D4oJ47RXFe/Fs9uv10sCFP3zBnhPzo1nuAoU9MsdHLBFt52OhliI0OPJt67G3T73e04cUGNjxebuB5iE/3vtkGfd4sHC5QXB2Df79jw5u5NnPfdFt+ZuP3F9lcf4ZNXZu2dGKjo91s6viLYf23xLP5Bt96TPV/1LCP3c7Bn7+38cPPbHxung3Pb7WZo8bb+MdIW3OQrX24Tb/L2ewr97Px/a1s+mJYF+ZFIxwd6dvRnOtoX+Ww//zFRq8rbHx7iY0vP611ZyqOcbZ0YcPzP9n4e06476Y4nnbwpb856OR6B98Y4xDP4Q46iznik4Ovr++gt28Vz1Lh/oCt/YTWud5GB2NtdPGlI1068GCuwzwx02EuusrBl85W3jWH/jLQkR851OUHmzhXKO/54tddtvqB4jqyrHOTMj7dW59fO/TNtx3m3X86+Mwsh/r+Wd+Hdej2n8Chngc41Kuv7l8tPr1n42s3ljWvl9HLaWV85YgyOrLK1Of3Za7vpb9/7uC7YTxdm5nt0O9ucMhjjOpypEMfKDrw/dcy+l9UZp9xf5n+8ZcyPjWiTNztMr56QFnnbGWdpzjw8wsH3F5wuO5+hznlVgc9XOHQN4IK6x1YUd+vwMsvy9TvqbLOv4T7pLLOOYRHscxz+pXlB/o+jINzAgedv+iAy00V/Om8CvvMkyr02UMr2udW4PXOFebJn8rUbXmZ7xeU2Yc9KtzDunR9aViZOlfK2qeXda5X0X5enzdUwOnCCs85pQL/j6+gn7by37dCXltU8JuPf8Oji+89yvfmMvu88WXNvy5+PsBFb2sq2q9VdC5QQQejK8wLQyrEe3iFeSohHML8u/PQZqrLN2U9p4zvP1jWeY6Lz17isi84wYVXlku9+7vg/VOFffe8CvoKcWBfVaHPjRTeg/X7wAr+ul1Fflnmvk9d4lzswst7Xep6uYtvH+fSX3MuPrary5y6rYvOPq/Ao1cq8pMK/nGlfj9R67oVzbse/Fjuar/p0n9edtV/XebZW1x8/xxX51Eufe93rvbhLudKa4Tn68JhjupyZ0X7MU9zlqfzFg++b+uhp89cnce5zFFzXJ0ruPj/KFdzp0s/21U86OWi21UVfC/kQ7ffvuzpvNijfn/2NEd75DfQI87tPfj/s6v5QPVeLLzvcYlzvAuvj3ThZ8iD7vlNXxd/S1Wl1yp9bpmH//7Tw6du93T+68H7gzz4vo/qsKGnfDz08JVLnZ508bsbXM0NLvPG8CpxHVwF/3RVuFR1DuFp/tNzZ3n07Ss9dH+oB3/39jSvedz/q3AN69GdX55zNUcov0lVnXdpvWOr4Nyqqg9XNd969L03PPmkp/Ml5XuiRz5FD5x3Vp16evhJqqZ9aY26v671plfR9yVV6nZUlXkjzP+FRqiU3lVwW+uhu3c9nXsL74nK83QPHjc94h5bY38f1MCpXkNXe2r9b6r43qtV7S+qzKHjq8qnCr/3quJT21TJ6wuP5z7poce7Pfzh85rm/xp5j9I6g2rkcWAN3LetqX8rzyVVeHhXlTpeX8VHTqiSZ8jD7hwSrt/l89ce53IZnzlvc1++V9N7lRrz1qSafLsGTo0ac0r/mnRe03lqVX2nCr/uqGpuqWoOqcoHfc5Hj/fRm+1T//4+/Xojn/sW1LQfrKl/1aSPGjrYv6b9XU37yyr8fEHrzKzie2t9ndf66HGmr/csPjp0fZ0/+uC8vk/+4frdukypoesxNfxjeI11qjV026fGXBLWoev/pq5zrTrz0Bpf+Pjqi77OR3yu831w/IPPXLWez9yxsKZ9ZY1+NUHrhzh0ff7YGvq6qo5PnltH79U68exV17m5r/lK+Ibrd2X9vz51OdnH/5M+faanr/dZNfrDjBp8nlxjnV4N+WCd/n1/HV8+py596HPvuvp5nfyW+fB+gQ/P7/Th88U+Pn2s6r6P6vRpjbl2WIN4kg34unFD+dTxuQfr9JPL63ofWpc+6/Spdb7mfF/900f/U3y9J/Txk5Kv9z0N8Lmkof2j1u3bwL+/q6OXcP0uDg/V0c24OjwdLDxSdc1ndc1lPn8PN4Jdfc7wwXfDpvblDfxmQYN56aqG5tUGftC/of2q8H25jt9PqdN/R9V1fljHv/bV9z3rPD/kP/uDJp+tJvjs0qT+PzS0b2voPLCh/V8DX4834OMmum5pHf3MUJ1PrYPPwXXmpXgdPOc2yWtqU++9muAb0/c7N5kjVjfA5fkGPL+yQdyDVQ+nAa93bKDfdeL3YvH/4Tr+kwlYd4NAc32TfnBPkzzGN7XPb6rPNNHb5k369jsN7UMa+Mg5DXy60ND7tQb7wZXK946AuMYE8OSIQPUKyOctPfdO5T+2id8d15QvN/HvXk34uVB8u7OBf48S3lZD/SHQXBnAsxsC5qFTA83TAb69heJa+lv+9Mem3t805f9NfHKLpv7fQkPnjA3qe3ZL53kt1lkZ4O9vBnp/GOg8MmDfZgfqT4He5zSZ7xc26fu3N5mzQx50/bX+Gw+7+6+nWzx/cov6HNPS+7sWPNmopffMWmduwP77uoB976EBfXiXgPtWNNH3003in9SEx6c04U+ijQ9s3eY5i1s6x25R36Et/X+LlvbPLfx8QQDv/x4Q12WB/D/Q+7kAn/6wqb4jfG9ra1/cVl3b+PLqlvY5Lb1PamkOa4HLVopraaD9SMA8My2ArycF8qtA/VS/f9Cmzo+04cHUNvw4tU19k232OZu36cevt/RetAWPjxPuqRa4btlCL18GmmMDeDtCcezaoe/16ui8qS2/V56XtanfIW2dk7apz4ctfO+pFj5+seputejz/YVLjxZ1+0T8anfw4X07iq+jc6Y2fH+uzXUT2vjwUW38P9vWexWt90BLfqb8RrSYc52W5ucW15/fgb9DO+xfgo5w7IBjnw79Z70OuIf5w/s2PnJBW/7TRsd92szBq1rsf+a1uG5Si774cIfPGzv0z7Ed8gjX785zB3XwtVwHPvTrwMsNO5rXVdd/qM7nt/X/N9qah1vo74MW88/AQfC47yD677oOfeXjjt4Ld6jbU8J5Vgd8JnTAe7jWPbzDeUO1Q15hfeh3HZ3Ht83/AQrWJUc=AQAAAACAAAAwJQAAkSIAAA==eJxFmHk01P//xduoVEJCpWQ2w4wx+2ZmSDdFQqFFkUqEQkRKpMgSFS3WFiShSIUUFaWkhYrQJkuFFkkbFf3e5/w+53z/ep33nNd533sf9/n+Y57ND6p3fxnQhz91HT/+pz743w8eEfXpI/rNiMOzbn1ILynB6rU+6hNuONnU62NuCEvrQ60+Kh/vXDvxmj52tbdlG1zUh0XR1eQVKfqgb+vcNLhHH29rdiXGhuhDq/xkQOkWfSyjj9bfu0wfH+pGd1q7kaClkOu/sSDBm+4cPIpBgmOhjbuJFgk7N6h/uziRBGef25rzlEjY9tbIfsYvfUwOLwwr6NGHR3dxkHuXPtKf7/6kSfhIzGgw7rusDxR6MF7u0weTdz4qei+R46JZZXYkcX+LHeVgOQn7N/xiKKeT4GsU6EVOJiFR3/eVdhwJKrfsqircSbD+Grpfy5qE5Vu8PkroJOia4o2XKgm31J58p/fro83K6cqk7/pomnRm8G27Pg66HI7/SvgJ7mp5e/ydPsaZFTiMryHuLW20nq9GxmPHVf4H/5IwsNixa+8XEkbFuj4ofkPCXSfJzfY7JIwoP12qV0Dk98lfcuwYCfcPk3+67Sah8lj+rPM+JDx87JbqQvgJoTbZlypIYP2KeXaeRMKL/fEZYd/0MeFm1zpdQv9w7lW9OzZk2P5yWOg0n4wRK33DEk0ymqaRE3SHSbD81W7E+ENC/VFZb+QHEjTn2y3f3klCLPVa3MQGEtRuT1+0/gYJyvs2xpmeI8HfcO5IbhRxb9So3Z3bCW7ZMZLdwSQkzwlKz3YkQWPRuvipe8mQXf8imBtMhlosxin5k/FBTS3yz0oycrIOkPfIyfj+sH2NJpUM9/4923TUyUjP3hLQqEzGyczajBddJExQHhjzqJ2YA4u/H34/JoG/09hi3W0Sfi+cIEzKJ3gp736fnUpCQGD68M8hMmpOpD+Y8piMniMWjfsukqF1Lz2NkktG8BdNi/5DZLw6FnTAMYGMZq1DHyp2kGE9NDTb1oOMRZLXyfMdyUgwaNzFlJLRt+T31VANMlTuqu5vGSDBzX+Rx9jPJMzZ80/z5A8S7rmRL15xpUAcVXOvwpqC1HOKrTF8Ciz/ud5Yr02B9XB5t9d3MvwHpkRtrCHjfSPVJvQUGb8f5b69Fk7G0xV36o0J/RfPVipb7yRjZ1GbS3gioZtolaQWRsa9GdPVxhO+hGFpmaPMyaCrhCmSDlHgW37oXFQMBQFlvU3x7hQwF3oGqVtR8HfZgMEmCwrmWH9OXyOgwOPX+eONsyhI7w2dFvWPjF39L+qSe4m+06qllk/J8A406HhI8FkTXKisc5IMN8F2Ui5xWv459d0yjuBffPuWlS4VivHeAv+PFKwfVpf3PKSA/uATW+cyBSQb5YO7Myl49SqSpbSPAptRVMuJWylwlpmwROsIXZ/Vg0mWFIxaarPUT4+C4/mp6QfVKSh4l723cjTBbV7QV1o7GX+nnrZvbCGj3W2XslBEBW3qoUBDEyoOB3r4nZpJPNvq7cmeRMV7l8iaqjFUCOOahx0+UBAuTP53/zEFiRzvsTHVFCj27bdfn0NB5ZkzFrOIsz5zh2XLUQpmThnr/iqUAtc/g1Z3CF++wuK7weYU3DVyzx64QMXjszm+h09RMSbjrv3No4RuWaklfx8VNgt53Ve9qFg/+onyuNVUlH38vJo6n4q+49F9GwyosI+aPUdKpsK/4s9Eyjgqdol6vRd2EtwrX64MfkTB/Wy92Y+vELphrazGPMLP+bLTRmY07BrV0q9EouFpb+aLgkEq3BYEWk1voSI70CbvWwHx/jfP7gwmUZHOtwq3j6aix+0LyW03FdHlPaPGulFxt1vzgcsCwpf5Os0wgld/Bi+yezoV7W3H9en9RB+uG6ZNI3rKGUz5mOlLw9+s8DX2K2gYyWR8bVxAQ/Hl6c5yQxqiwr3pJDINeds02OnjaPCoWfWpsJcKVlLHtnU3qDjfn7DtSDoVmsnpjqEEjzXznZcP+PyPi/dud8XcNcQ938JD+xyI/HeUCvMaaVhu+4RxqpKG2Hnfpjy8SEPqroL9YYk0+Fqe//wuhIaQMWG1I6Dh5zp6LVufhk/kkAkqqjR448jvW1NoKOLGtZ/7RoWq89i47a+pqGFcmeJXTUWx/929eYSvS36B2sxCKjapNn0cdjWAeNWXc4/4xJm6+6qlugG4M9K0ikZoMD/Km+z0gIb0YeG4qXdpCIhx6ttTRXAvakheUkDDfb+Hmwv20ZAQ/ho2PjRInw4nGdjSkCt8duCEhIZte+df7Z1Lg5HjL3kHwaeNaxqfl2OAx4Lq4m+JBqgKMbLj+xiAv/rY3rsrDPDia9L+yS4GsFzuFb13kQGM1gQ90dEnzgylN0nDNNg8SVz77yHR/7jka/rFNCSHDf8YyqLh+1tn7YodNFjXU0a72dPQQ53zZgyHBvvUVtU7vQbI2ftjw/snBvjNNDHXeGiAROVj71PPGUDlbPB9WYwB/BM8yTPdDDCnPcb/h4UBJmzc6UphGSA4zrcjh0H4e156olzNADpvqntse4k+RuL84ltoqAm4U6R3jYYCcV9EVQ7RQ6mDZswBOopq3D/RA+lYuapidrATHRPOx/5rotGRM3/j8i0/DDBovPfcwdcGuHWNVmFTQ+h5SejmlQZIrpmUUpBugKgJ9zI9ow0wZlNgZtp6A5TtUDkZTfTT6q+kHmpggObinjj/6QYoj/p+yOURHTWjOvsjztHhmqZ++Vg8Hcx3u9s6AuiwbptLb4ilg/WWGbhxHR3RB6a91bSmI7fma8OIER3lN+80XptFh8e093OTRwxwabefIuOdAebmbKie1UXwMVx+wbreAKTOzA06RYTfuxt0Mn0N4Z1x4lanwhCpqtHJv6caomCic3rZKEO0Sa/Oaa+iY473ux5pLh09P+MGBxPoaJZajikLoSOz9oP6trV0pC8a5/fSho5Lo+3I+Uw65m5svJytTMer78M9554bYKXTXwfnWgNYn1UtOnDPEK1jOnQHcw2hVrLjgjDeEBFa55ouOxjCXfeKnjXTEImJA65tqoaYwDUoGvlDBy2/R6PtPh18SuSEfSl0yDpyl8wMokPT547ogB8diQ9uZ5u60DHo/2QveREdZVU6ZiJjOt7OH5bcEBqh6kHQErGqEe7GfRq2GiZyjT2bc3KUEeot1ea/eWGIksV1pKEsQ9zdZ8xn+RlCnBfaXmpliKoFLSdVJYY4XxesX61B+Nl6pWJ7K5FTSfVzzTU6blj4mPtVEn6ytcyzUok+TkydFLXXCJQfE3ppG4xAEnxap7vUCFz/022PTIzgvuFO1W+KEU427XwxfxahPz5C4DFiiN+hFdt+txuieSw/dlu5IdwyZS/tkw1RP7bax9rfEH+D883WzzPEjRprathYQ2zW8QlY+Z6O46s3f+8dzYDzucvFw++N8EGJV/LxshFuTNVJtNpvBHxeXpviaYTzh93P7l5mBOYlJqvS3AhaIj3djwwjOFOnj2lSN0J5QgD5WK8honRqaptvEHpXB7V+nSN8Db089CnNEPwC/StFmw2xxu/QaEoMA7ccI5xHuzFw+FTGzCcCBi4171Cu0GLgpPOMuC39RrhlX5347okR9s+2mpGWawR6kMUv0xgjBOhfOCBcQ/ye4cWPX2uE2Jc2hRFLjDDzZ49oB9MINvQMAz2CR8mjvPHjCT+HqdK63ypM7Pwwla33lgHlhQIV5SYGrAWM/r6rDOQdj1UvTmKgeNX55Qv8GHh6SNRyScHAct+6HWHGDLRNooqbdRlomqwUQyf4jDNX6bSuM0LJ4Zbb+elGeLXQqvvCLsJfydNxpURfk+OtvealMjGz1nGpXywTv6ekRGx3Y4I7cnOuiT4TiRtnW/QPMmBfon4k5iGRV2/RArVsBiwE5Y01Wxn4aWn35OJ8Bu4tjdFJYDDQrzxkengKA/cP1VyL/UnkrND+PqvNCP45Ha+rSozg+70qjPqSCTdhS3HvaSbuzro3sXYXE9/t5j7euJUJo3nHX6bNZ0LN0qniMsEBYgrXvY8Bx8CXRdMfMTAuRifyTzUDCpFrwfWjDJS3mB1c589ANLnoauEKBjb3NsfbWjAwMjZQa6E+A1xlRYmH3BjlXbs+lsw0xgRbN251GxPj6mmU89eYCClOWqE4y8QYVZUTWXlMMG/RnRg7mLCWfLiqsoiJglPf/exUmdBYMMZeNMSA6p1780jPGHDtnxVaWsmAZenXjufHCP23s8/zQxmQLSqU5bcZ4/2so6F+J4wRImQrb9plDPOx5QdnLTXG+Vy9VJUZxgjv7/7k8pp474PMEbd6JrT2e8/8QpzXTr3IO32SiaYVT79+38zEcYrzzrx5TIgrhU/M1Qi/H9dnZPxgYCAeu82eMNCnd3ddaSAL5/2mzKlbyQLfZqg3ncLCrferPcLfGKPdZfYDlyJjRPMK2nUTjdGnvag+bIUx/IOW/CpTM8bIYz0P/S9MnKeYX/77hJiD2Jr5P8/9bx7SqYXvKA5M9Ktub6gzZMI1usze9j4Lx3/cOXLyBAsTnE8c0oxj4SRvrDBjEwuZW81bU3gs5PouTCb9M0ZnWz6+dBljvXzM8xzCxybpxBSTncZYft2paKOFMQ769pnn0IxxlLnxa+l0Y1R2NGtW/iL6OZSsxSN62nSP+jzRxwTM5q4FZWYmmLmK7fJpvAmsEwTlqh9ZsLc+v2nuCxZyAlc9uHaShcc0qs49FxYsJ8jbX4tZWB+xtFgyg4XEb5KopR+MUb/eqjbrujGWRfhsfxdrDOXDY4KeOhtD56FH9Hi6Mdhpmxlu9SbYueB5tfNp4ozyamjcbYJL2w77xZub4P7mLZynf1nwt/htmdTGwiXO/NSfz1iQNpxcbneHhf2SvSdWEzxsFh0JGvZlwTd8zk9vBQuOkS3PopRYyO6bEjvlpTGktXNva+cb4zrl4YIKHTaU3y0JbB42gYVTsf7pThNk7zK67/vQBCVlB1+eTiOeJS8Hnq8zAfeo889algmibjjXtI0zgcKu1d29l4XKokj3ZELftk7vy8EcFiL+PGnjB7PAtF+QkuDNgkrqC466IwuaAV2yPdFs+O1Uir7qwUZ0Y/XPPXI2bkQ5x1Xps/Gwyn1rnzobmx6+zT4/ZIJx7tVDuGeCvB2c2KEUE9wIWFtaudEERaX3HIaJPswfu7f9mGOC5vz7UbtGWHiV+8RiPDEfNwrZQzNKWNgyLGqef5MNH/ksO0khG58qt84IzWGj6MHer7r72Ri4GtKi5M8Gtzcny82JjdCfA+9fgY2cSd+W9JiwkbalZHHlNDY0SOfuRvwzgW/dRzfRHRMclzXx7ZJNoDk7LalnrQmMnFY8pKiYYKV76qd9v9nYJ17vp/eejaaxBhsLa9gwnnJ8xvoyNkoLfrVcO8NGQlNMOD2FjVVVnh5+QWx4HO9SSV3Dhir3wNl19oQvUdrALzob5zbF2oWMIziN0/qt8ckEbYV/vW81mcDmaf9ni6cmuM60fj7A50BHsJnEmM6BRcHvh6YTOXis9Mg0t5sN5+xnB/feYcPhtlve23w2GjvpJvqpxO9zf+ZvCye4K0t96zex8U73gPnyjWzU1BTPaV/BxmDZ7mOJpmyYu5uljCexMXI52mHWeMKHi55fbSYH2c94ZuQ9HKjuyFikYcXB5Kvh1eNFHNTXHkrL1+Vg6grrsxMnceB4pv7xryE2PrbduhbZyUb4qs+xe+6zUd3tyNh4lg2nW1Pkmwg/dvMN0hv2sZH9qPTcR3c2EtUDSvMIDio3En+eauYg6Y/L1m+VHFCbtSJ/FnJACxI0bTvCQdiNA6P1AjmomXTzZqI9B1nf7mipcTi4YPJ4RK7PweJY3UUu0zjorFbj9v5hIzJkQY9mExu2G0NMW28TOo7VCfIKouetgdNbs9hQcM2WuY7m/rdH4SBHm33O9AUHs1Y1ly2/wUFohP1aUh4HCbOS9Z4f4qC5dkxZozsHii1qyRV2HEg/N8fkMjjoIA20e2txMCk1Ij5UhQPnDQv2TOxlI7nxrEnzIzZSnzrWrKokuBgmUu29uLhS2lGXpOCC+MsR4krmQlv30+7mcVzktthwLT9xABNLtd6HHJBbvPoCbnLwfc+0gYUnOVgbvaagPIIDyVS64QUvDj7qaxzWWcKBWsii18eIPnKXFkXqanMwcF2UpT/Chvp6flr7aS48J/sGTT7JRVkL1yd9Fxdd5/5+5m3iwrZ4QW6ONRfveiWJbB4XP6N223fP5CKn9dSJW8Mc9NIotcWEH2ZpvNfROg76bh+fJ7zAgRH/35cxR4m8LxvWqwVx4BB7yD1mNQfPuaEfLyjz0KoeVkp+wUXpUOTk09e4mBClMedmGhc+KvdOTgvlonOxbwFrLRdWSZ8t1edxkV/u+eWVEReht08Jr2hwISw5N9NiFBeVSR+WJr7mYLVVQKC4loOSZd0Gn8sJPRU/q2PZHLBvkvr77Hn4YJeZuE3Aw6ppl90DdXhoCXB1P/Odi7aGbxsFdVzorS0KPHaF+9+ejYvCIbX+kADiFGcNf7XlYvKoA+vLTbi4KPxDG2IQnI52HVEifCi55cUdIebC8sv6lG9tHPzwu7G9KJUH6unbTx+H8pA19pZ8txcP75daem5ZycPc238iymyJ/EfWpHP0eQj+6BTSNJqHTX0vT+j1cVHivLGC8oyLYc/Lo7JquKBcT27POsHF/KPvY6ODuNAZWZXX68jFmaETjbYED839Lr8MXvIw36VJdUEpD54Ou7SuJ/MQxdAzmhPBw3fbqnmkzTz8Kvwz49wGHswrrNYaOPBQr6Vbn8Th4ff+FVNomjw8dVBW0vj4Px7O7IHHXWVcnAoP/v3kDBeWJUkOyYlEX1i63W8eH+S8Z+O9ZvHxxz/qn+MAwbW1Y67WfR6+Fn9fPZfIP/3s8Q2pO3gY+3HlFqeNPFy5vtalzpmH2E0T152U8LC8ZHvCh7k8GLeN563U4CFs4urNH4e4UJS/HhXbTOTa+2ZD/w3uf/scPn46ffR6HcxH92DnYrIzH/Oygpcu5/DR+sLbtHMGH9M+KnLzf/DQpjVm/PtqHrIpVYGTCA7jfQ6HesfxkEuaeUIjkNA33OFAdeHhQvgaHk3Iw9YDWybdm8XDAaW9L8l/uegIqwjIfcbHee++O153+JhZH7B8wyk+SPHJGYO7+FjqOuXy9BV8aExJXHiJx4dt2MCPcB0+RhJN7rtP4WOl5HZDylseXl65y3IheHSUPPrUfYyHJu1OJ3E8D9q5VoOzNvFgevzrvyNWPFwqwOq4P3zo2v1r+N7EBydf9bzkOh/vX55+c6mC/99eiw+xck5hXRIfuV50xW0fPiZ92e+QYcrHjmVT3x6dzoedrvrC4WEe/pnYzuoi+qjUG3/0az0P129Q3/mV8JBJnfYm5iwPx3k/NZq2CbDRbfKbhGUCGNWvPHTFRIAZF3kfBkYJQE9YQz7VzAfLurGxmMjvfEN12oI8PoryGJs8Evl4Xtm64YcXH8Kas/Muignu54tS2QT/3qDiP6mj+VjQ5hbb/IGHo/nUcPc6HoZlbV2XigRQa3ks/hwlQBvJzF2yWfDfvojQU5VNKJwtwAfdJe22YwX4Jvm3qbeXj7/LL36NfEz0bcoll9cQvO3fzFl4ko+b87fSZ4fw0fl8/6dD9nyMUfdq3UHMwZy4sLxn6nxQkiMONEwXIiTiRGf/sACfslLJf+8KsFXPSntBhgAFbP/PsbECBAz/CpK5CFBnaX/6vUyA8PKgt63aAoh63eet+sbHuOSSWQY/+GibE5E+u42Pg1uX7Np1gY/5XQHXfffzMaNw29yWAD4eLAl9kLVQiE9vu38ncoT4HKlsM1VbCKtPZa02o4RQv6pYN+qZAIe3UyUVeQLUd8d0xxwQIDZEKXZKgACvR89jFZoRugVNvHYtgseSh9Npvwmu3CULnfsIrn9sC24Rffg9P9ChVsJHz6YtZSkZQkh4b8zzNwlhOXX1uyd2QpgnbrOQyIln248D1kwhjs0o7mlVEaKh7sfUjNcCXDn4IPhmGaErCdp59JgAxX3vT6RvF0AlZefpR7YCyA0rmkMMBdA4wvr5coIAF63LtKMG+Kg+5lWRM1EEXvkVT+ZbIWI63O/fzRNCxOeep+4Ugu10/U6MqxBzU2nu98RCFH0bfMol8p8Urt8a+FWATMFU5V9vBDh/8a/HzBsC2Ew4/dycyJ/4M/WmYaAA04KOz/myUoAT6me2PhAKcKzzhG+KtQiZI3/jS/VEqNW0d5XrEs/yA2msv0Js+Fh5y7ZWCLETu/NirhAvfL697IwR4hI/u7Ge8OG+MEEmthAi7tWyY6yJQvh0XVw875sAFM2svOp6AbxHg8w6LQB1wG781UQB9hnebf52SYRvCdaenxNE6H40hfgaRAgybD9xiiRCU/+DMR5jRXikvkL3XrcQhSvTFj++KcSVZ8+1/S8IIXPYP+lqpBBf7owpN/AXoi3vtcaGeUJ4vltBkmoJ4Zcd6tlA6GPyl2huowAMi+zbC/+J8CfheqT2MxHGFfhNvlQhQsMz7pa+GBEcHbrcRGtEcGt4XO0sFSFxTLNu2GwRqLsKd498EyJz1+yzZ1uF0Djl42ByWYhHh7aLrmUKcXj4dvfbMCFMuQnPmCuEOD5IaQimCWF4p2na0xVi7J3y4tk/qhiegdvcM8aLMXpyDq24m3h/7bjneg0i7IyPaapNFsEqWHPp4Q0iJJGblk0kelBoe6x5QxZh0lhL0MYQPtXGXVzcLISiSWuf9VUhxmV/Ddl5SoiOuMGGod1CMD3X3v5yVYwbe/4s6UkVw3lGa06Epxgp9FU5DzhiRJ4fpIVPEmNBxcR/el9FOJf5e8VwnQh/vTd3qqaIsMWYuThpkwjW03nZalYi6JvdXhROcBjo3WzjMEOE5H+vXozvFeKi9gZP1yoi776WRvZvMQrPUiPKm8S44+bPjy4RY9GbwCOL08W4P9xTNGm7GOuCt+SqycTIoF1+9FSV8JO74+b1DyKc7WDL/Aj9OysHMm1TRcgb8ct74ynCZ5vvTx4tF2EqvuAW4SN5T+XN6WwR7G6dna8ECS706n96bCyBzw4b/RejJGj7Q1f3fCvGxTO7829eFCOetZheRujHFKnPzAoWo/6PRauGoxh+l7YfVDDFaBK9OK31l5jv5+Ez2x8RvM9cFmkniWAqVfFyDxShYtXTL5nrRIgX1lV8LpPA95Xl7fBoCb5f3ff74QYJzhmtfGxB6A87rjy5aqwEndcGmD8I/eOL/R/trBOjglQVtDaL4P9iYcr4eDHyz0w+cMyL0L16NZYyn/CZVfXmNFmMJZITQtmACMITSX1txSJoN8u3eKlLUUufZHevU4KVXTrJFeUS5NraLcJBCewitYUJnhJ4vGrMdVRIcLZgzi3jiRI0hx17bt0lRllNywSHCjE+T+9ckZAsRrRtZHPGFjGUfRe7tK4Ww/g2S/6cL8aK7Ut+rFcSo+e2cFGjs/S/fZgUcYPxM75+lMCyB4f/1UowPqWWdjxHAs8b8xo8CX3NS42t8k0S/NGa9XeNWPLfXlCCkuh0j+X9Yvhq64x/RcxBZPGV/rQ0MU53H3sVuZPIvdMw9JyHGGsXMRmR+VK452qmHjokxYOPR/gBW6UwUd+kvEAsxU2f7ok8JSlMJwXvdW4gcuqRw3vzCJ3JdwedwiR4Xzlpro69BGtOknuMGRJc7g6d3qoiQd8vu4hT74n5+tgRF1Qlhvm69tUmhH5c9Y5TFximcDhQVPm+T4p7quJ5v6qk+LJhlv5gmhRqUh1XNzcpnGqZx2qJ/J6jk3L/Dkqwa3Xm3nkdxFztqb2ZeFXy355WgmKVuSQXZwmK4o7kPaBIMFLyvsN1sgQ5+wN/ze4Tg71j2+s9LqbQHZ7mxheZQnu2jepMFVNMmcN02dxI6FLip+2+LoUwoPJJf7oUVKcUJnOzFLb5BlnFPCms6tbaJStL0T7GUUL6IsHD6G8VTfckeETVmOJQJMFFxpyVvcQceg4/edXuLflvD2YKg9nchb7ppkjIPrrG0ps4OyjeNy1NUVGSsefVXFOMWIylVA1L8aa3MflRmxRTXCq9312Q4oyg4cyXMCl61zulLTWXAj7bO+PmSlFT1xBsRszBlpEU95gaCVzmjR5776QEgbYf5mrxZNBU0muZN0mGwIcqsgmfTMGt8LdKLzPFFpVn1S98TXGlbN7KZ/NNoUQKUXGdYQorNd9+y39S9O3bfGtUqxTMH6FKS89JkZrapWoeKMW6O0MvBu2lGDoxWWusnhSkgeP7Y95LMPn+i+Br22R4IjIweLdUBm3q/aylNBkUOwv3LPtniu+L1ylbd5miaJZfyaIcU1hfXjypI+B/+a/8eLLRlshv3NJr7P5Hil3ZReSB51IckmWFMIuloJSFvCyMluL7qKMZYWukmPbpJP/zbxl2qM3NmF8sg88yYf34HTLIXXynd7rJkJuVbrmIQ/gpXWjRoiKDRtRhl+JnpnC85FN5MN8URztSonsPmuLC0Oxp5h6msC9eVuejMEVrguKYnJiD0m0LPlV++N8cHmho+EKdJwfJ6uyys9pyfOXxG7a+lSFu8kKVXZdkSFs4Em2cJIPvxa25if4y7DeMDv5kL8OB2qVr+igypHe6qCb2mGKd3QoHRYkpyloPD73eY4pnFzqzbq0yRViUro2SkSke2nXMOzLBFCYfll4OKJbj7zNOxtWDcpyKn/Z+k5Mc4/0vNtbpyrFSSnZ92StDcj43i3FdhnDfCRPsk2WIuW99csMqGX4ecAlYL5Nhs1+QNERbhoR3XbyXTaY4FHlhxus84v0vnBLGhpj+t3c1RdrhB1+HtBXYnRL1ZNobOew6TyV1lcih9K2L7BgkB0ZrlJNYcthXHqLd7JFh6rkfvKWXCf2eW0U5aTJ0ffOeTfcgTu4foywLGRa3TpgUZyxDS+CNgZ4hU9wUH101pdEUrL+5xpOJ+RtxDmvzWKZAhbVwRRBLgS8ypXqqhgI/09IbSt/LMdjSsvXSRTlcr9+7f2i/HBO/ypesXiZHV3na8/sEf+zmNmp2y7Bh+d7QoRsyHPQ22R6bKoPnkc2XdoTI8MVvZfhiyFCZfi9wEjF/Dj3bbUlFCtzzGt3IjVDgyLEanp+NApObtZum6CnQYRb/zX9EDuuoK5SWejkoNtMuWh6Vo3vI4oXHWjni1JSbUszl0L1fdUFVSY6yrIjdx6tlUF3s2b+4QIYw1Z011gdk6E9cXtJC9D9H53fIzglmqNqyJIJyVwHPzsH36w4oEPaSpkldrUCV18GyCWIF3o04Tv1H6A6mLnSXPJNjhRuv7l+pHAcSzTrPu8tB9Vo2+wqX0I1nZx+jy+H0snvfsgEZBCSjUuf7Mig/aiw3yZfhsLwkMmutGXZk/8mtMjGD8kmzp1QlM0SeWHNwWasCN23srFPTFPjg9neBQaACzW8z7j0n8v//nlUBj/Bzz81/Er2fnhrl3SrHk1HTC08nEX7aHN5+9ZWjX+vH+tGWckg2NJb+VJfjUshSydl6M+xC9PK2JDOM0w8gFbuYYStlk18OywzLHog7L041g8ZMY55VlwKmvtfPPipQYEumX0rgLgXKz3tvDXRWYOL2V3+iDBRwHaWTTfkhx3cd1eUUovf/378T39uDaFGpqxyVwW9jLVebo/nQ9YgZMEem7vrEFiNztC8+6MxVM4eja5XJwtHmOH7j8gyX12bQl7lPyb1oBi96iW7yNjO8trrgkiU3w8G/KpFKOmbgP01JrRlSwHLy3/whop9vijnVi8IIf2/+5XxaqcD/AfUTEp4=AQAAAACAAAAwJQAAwCIAAA==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AQAAAACAAAAwJQAAfwkAAA==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AQAAAACAAAAwJQAAYRIAAA==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AQAAAACAAAAwJQAAtxwAAA==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AQAAAACAAAAwJQAA5hUAAA==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AQAAAACAAAAwJQAAyAwAAA==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AQAAAACAAAAwJQAAHwAAAA==eJztwQEBAAAAgiD/r25IQAEAAAAAAAAAAHwYJTAAAQ==AQAAAACAAAAwJQAAHwAAAA==eJztwQEBAAAAgiD/r25IQAEAAAAAAAAAAHwYJTAAAQ==AQAAAACAAAB4PAAAQAwAAA==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AgAAAACAAADAFAAADBMAAD8DAAA=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CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_2_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_300000.pvtu ADDED Viewed

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+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
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+<PDataArray type="Float64" Name="yc"/>
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+<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"/>
+<Piece Source="Grid_2_300000.vtu"/>
+<Piece Source="Grid_3_300000.vtu"/>
+<Piece Source="Grid_4_300000.vtu"/>
+<Piece Source="Grid_5_300000.vtu"/>
+<Piece Source="Grid_6_300000.vtu"/>
+<Piece Source="Grid_7_300000.vtu"/>
+<Piece Source="Grid_8_300000.vtu"/>
+<Piece Source="Grid_9_300000.vtu"/>
+<Piece Source="Grid_10_300000.vtu"/>
+<Piece Source="Grid_11_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_3_300000.vtu ADDED Viewed

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+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="1515"                 NumberOfCells="1400"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="301"                  RangeMax="31400"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271"               RangeMax="5.9825"               offset="2912"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.9825"              RangeMax="-1.5088"              offset="3204"                />
+        <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="15.944"               RangeMax="68.685"               offset="4208"                />
+        <DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="1.3991e+20"           RangeMax="6.0273e+20"           offset="11136"               />
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+        <DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.98289"              RangeMax="5.0674"               offset="61112"               />
+        <DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="494.01"               RangeMax="656.97"               offset="69896"               />
+        <DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="75036"               />
+        <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="75108"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.7077969074"         RangeMax="7.8102496759"         offset="75180"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="80272"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="89228"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="91776"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAADAKwAAXSgAAA==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AQAAAACAAADAKwAABwsAAA==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AQAAAACAAADAKwAACyEAAA==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AQAAAACAAADAKwAAqRkAAA==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AQAAAACAAADAKwAA+w4AAA==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AQAAAACAAADAKwAAIgAAAA==eJztwTEBAAAAwqD1T20LL6AAAAAAAAAAAAAAgJcBK8AAAQ==AQAAAACAAADAKwAAIgAAAA==eJztwTEBAAAAwqD1T20LL6AAAAAAAAAAAAAAgJcBK8AAAQ==AQAAAACAAAAERwAA2A4AAA==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AgAAAACAAAAALwAADBMAABsHAAA=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AQAAAACAAADAKwAAYwcAAA==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+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_4_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_6_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_7_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="1515"                 NumberOfCells="1400"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="31701"                RangeMax="62800"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271"               RangeMax="5.9825"               offset="2436"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="-1.4737"              RangeMax="2"                    offset="2728"                />
+        <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="16.185"               RangeMax="22.397"               offset="3600"                />
+        <DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="1.4203e+20"           RangeMax="1.9654e+20"           offset="9828"                />
+        <DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="9.4165e-06"           RangeMax="1.3031e-05"           offset="21920"               />
+        <DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="794.31"               RangeMax="1396.2"               offset="33444"               />
+        <DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-123"                 RangeMax="35.248"               offset="38052"               />
+        <DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-10.388"              RangeMax="7.1737"               offset="47188"               />
+        <DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.99289"              RangeMax="1.9628"               offset="58200"               />
+        <DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="495.28"               RangeMax="894.92"               offset="65092"               />
+        <DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="70532"               />
+        <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="70604"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.5095818413"         RangeMax="6.3301250347"         offset="70676"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="75420"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="84376"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="86924"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAADAKwAAWSMAAA==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AQAAAACAAADAKwAAsSEAAA==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AQAAAACAAADAKwAAMCAAAA==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AQAAAACAAADAKwAAHhQAAA==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AQAAAACAAADAKwAA3Q8AAA==eJxdmnt8T/Ufx6PVpMw9yswl19nQ5s7yxYQiNsnKMGbuW4aNzdr3fr43MVFM7kxWM1u1Ym6x3I0VmRQhIZdojLn/zs77Oef3aH/4+Hw+78vr9Xp/zvmez+eckKrFa6f1tRoKSltFzp9nNcypk93v3CmroXXk/N2lzWyG4PK/XjZDI/vVsM3v2mR+ts1Q7hayxCZ+WTaDat0q8pjNUD5c9bTNsE5tiotthmfK/04xr44vTVf/OhIngjhx2JlsBnU0uc4qm0H9N7tfns3Qv/w/v9oM4Zv97Fev2wzlMPxK9b6G6xp23naJX9sudg3tgn8LeS6S9xnmK9klTjW7oXw4uT7jde2GcvqtqtiFTwO76OHDfCO7xKtql7z17IKjmV14NiJegF14BBLPzy56vWo33FGb3SHkV+013gHYGcA90m4oPKz+dbEbxpf/vWc3XFPT28Pg2Qf/AeAJB89wcI/Gbgx2E+xSF7Wv6Z0Ivhj4jYLfLMYngCfZLrpNxC4HHqvA5wR/Kv1V5J0Pjly7IaQc4GLye7C3kGcB/NzoMsNuKIcbVjG/kfzfEm87cQ7h9x12W9D/C+y/I8+P4NmJXyF67YZvHvmW4FeCjqXw2Y/dafLdJM9f1P0a9b6GrifQ5wL+p/A7Q/84eH5l/FVF/MvA4aNI/DaK4G+miH5NFOH5BB3ukt+X+YaK1Oc2PB9RPy9F+vfQqacieVpg768IjqaMV1WE7wPW4SuKxAlQJN/LtPUV4dkWvH3I05V+A/zewi5ckXUYQvy3wT1IEd2jwBHB/HBF9IokzljwvasIrqHopsaNLw/Un7zvo1tv4ql+Wr0jaKeCM0GROsTq+LR84fiFEmccuDsrontP8gwA/xRwJYJ7Fnin0iYzn6rI9WsFt5t+AnWYq8j6/xB9I7GbSd548H6ltxrubPTIJc8O2hX6vIZrOXmy4LeU/PPRxUbc1eD4XpH1fAF9T5HnEH5biLtRkeslA7887I7CYy/+RbSbiZuDjl8Qx6rbyX0DffPAtRX8p9D1Z/rfodOX5F1JvTKwyybPRq6fdHB+w3glh+S/Rb57xL3DurxM/OPoeYT4f2H/B3GPkm8z+uaTZzv+P8DjFrpcA291h8S7RNzT6HMFnf8k/k/gOkm8ItbnSdZzMbpV2B2mrp0cwsPPIfpWcQi+2/jXZ97HIf0SxlU7La6qj3Zd3If/bXiVwuMiPEppn3MI3jYOmVfzazi6OITPI3jWcwhPP8YfwLcaedU4Gk8ffV7Dpfa1/M86RM+R5OuOX4hDcAyiP9jB7yp17kncIPRoSv8N/FrSBsL7efp1qdMgeEU6uB84ZP2PJH4I+JqA+zXm26FzAHED9Dwaj2DGffGvB66BtHEOqWsKbaJD1u8I/OMdUp+Z5IsG3wzso9DjQ/wq5geAO5o6fQ3PTNbDenh8Svs540upXw5xDpB3O/MbyLuZ9ZaC3ouox2z4n8PuJP2j1PMvh1xfxcS/Tv7fiHcSnfZRj4PwyIRnLvN56LINvxpOqUMZ+Xah3wPyeDsFz1ni/Ev7BL5F9E+j1x3q8xDeN8l3BLxhTuH7nlPsejslTjenxFHnNV1qOVkPTsFZ3yl61nXK/bwxfjXo18KuA3YPwDHOKXkdtDOIHwEOtdXWWao+r+k30Sn6TXKKHn1p1b7Gazq6vUUbAZ4i5ouIv594O8B30in1zCXfTvB+Q/8YfHbQfu2U9bmV+Z+csg7UVtP1PH1vl+jV3CV17uUSnm+5xC/EJfFauXg+dwm+pi6e612C7x2X1Lu3S+rZwiV8nsfvTdou+NdhXh3XcIwg73jwDHPJ9RPjEp6DiP8m/Sku0XWWS3QZBt4p4ErHfyF+K5hfCJ914DS5pI6KS9ZRHna76Ge4ZD0sJV8m+LYynoa/r1vwV3ZL/au5RefH8KrlFp383GLvx3wA9g3d3NfcUodX3ILby83zpFt4XkLvSLfoNpzxMLfgHoTfQOJ3cgvewcTtTjvaLfpMwm8kONS+xrudW/i9RP4djO8kbx48srH7mvlMeCyjv8kt9ZrjlrqspL+A/EluWQfryN+VuG09sk5aeGT8BQ/3HY/U7SH+f4P/BriqewRPCbzvosdl5guJv98t6/Ez6hZF/Dc8omcvj+BP8oh9e9ohHp4DwBXoEZ1reURXb9o/if+Y+D74L0LPOPLN8wj/SPhO9Mh1G+sR/NHk+8DD87NH+LbGrw44R3uEXxjtax5Zrxvdcn85jl06eVLgOd9DPcA33cN9ziP16usR/fqDpyP6N8auk0fi+8PnW9aXg/hbmZ9Km+gR/uHgGUHcOeSbQj8M+3B4q/w0PXuAU62/xi+a9VSMLhnMp8IzGT0WU5dC4uTTt2KXRp4E+A2hbct6CgDvWtZ7FnXfTL12oncB8ZYxvh3/bfCzYrcQ/RTyDAR/LO0g8H3F+nGipxWcm/DbT9+Fbmb0ncj8bOLE0v+AdROKXX/8e9Ke5j7lhF8a9V8Prwu0l9G1gHir6K8lzkb4O4ijUE+bvq61OmRxHX8Kv9PU7yz+d7FbB9418JhOq2AXjZ5xtCbs09BzONfrdq6/yeCaR/sleXNYx9PgNZd2InFWYr9Et9PquQCdxoLLT7/e5XeJ8fbUoxftBOK8h/9s/TqWcwbi+KLfy9jVYD2+jj43WScW7rPt0OUF7Mu4Xt4m30ziRbE+4+AVBJ8R3Bfqwv8+vzOVuB9d4Tpwcr+fiv0A8PijV03idyNfBLibEFfFpenihZ8P/L/nvr0eXkVu4WOGXy94PaSeNViXJfzuXOX+/4jfl+PcB3cT5wbr7hK/O/vw+4X2C34vFoMjjf455jP0eS3P99R5IbosIu8njCehXzx9D78P88i/ifvm+9RpGHjDGR/MeAL8h8K7KderF3xeh18g+fqgXyg8UsA7jLj9yF+PuC3BV515b/Le5XntBM8/v/HcVegSf7WV53We83bQP8vzXSHPl3sYz+I5azHxzDyvzeH5bq1L1tV6ntMSXcIrg+ewheBZ4xKdZhInBr81POcl8rypkH8S+d9gvK3+fKnx6Ijd+/iPI35/nvMi8B/F818U/IZi7w+OZ3lOO89z+D2n6PvIKXwqk6cS9qXsE27wXP8v7TH2B3t5/vdGp63YF/Icn85+JI39Qjb2Gexb1rAfS8H+U+Iuw+4b9iP5TsG1EtyriZfKvmuqk99j9lkfgSOBvof9xQfsg6LZ14ynjWR+ILgGEq85edugTxfmo2g7YBcI3gHgaQXOYOL3Bkdf9k8B6Ngdv2rEa4t9Y+ryQN+favYvsq8sdEhdD7Iv/JnzhX/Yn75EvqvsmyvaJ9hdZD9bxv78CvvlSuh/n33zL8QrYr++i33xCcb3sm/OYv99hP39Hvbt+8F/lXOBy4xnkz+f+UzirMD/Y/pzyfMZeZ3g3IjfYvinEW8u+/Ip+M3lXGID+Jzwncs5yBzixZNvMn5RnBckgDcV/WaQdxZ244kTRvxEzoGiwBPFOcXb6DcU/YcwPgadR5MnlLyD4dGHeD2wi2U8mvjv0A7Rz4u0ddIVnAPA1wcdOhCvDviD9PMqTccO2Af+57yqJ35t8fMFR3XyNABfZ91fwxGIvl3pt2Td+hPnZXRrRT5/4jQAjy/xGoDfn/Yd9GpM/urge8w5f330rv0fnHXJ0xidG7Ee6sOzesV5Eeetjzhvvc857bPwuMU5acV5Zk34PA8uL3g/4ty4MvNnOHc+Q9zfOXf1YX3Xor3G+esPnAef59y/hP4pzkvL6FeB5znGz3NOfZG2THl6LqzZ/078C3o8bX3foL1EvpPwPsa5dT7n+Ntoz8LvDHEOkn83+hXz/uAA59gV5/ebOL8+DI7/O9/X2lzO77eAYwnx8sBzgPEc7AvAnUn8dPLlkucT8K3nHHo5emSB73PO+xfq7y3knBR+66nbj9gvYJ1tgO90xifgNwM8c/BbyvuBj9HNRr5Z4EyiH499MnlT4BcP7xj4JBJvJHaziZuMTh/Rmok3Db/prLeJ5DOzDi3Yz6Ie45lPQLc4dKnAO4b5aPhHgGOy/t5MG0/5T7yR6DYKPqPBF4pug/X3f9p8NLxC8W8JjyDGm7EOupGvBvED4NOEegcz3ok83cEbBK9A8jXU82jXdyPw1MSuOeM1uR78qHtt+lXQqypx7tp5L0O+x7y3LuF9+J+87z3Ae+bDzB/me4CdvKc9xHvlYt5D/8N7bG/9/a+Wxw++l3j//A/v56/Tv8z76zLeL+fw3vqg3mr+e3gPvof35vmMHwLfWeIdBM8R8hTwHUEReLcwfoj38lPBPYb5JPIu4jsGB7qMBKeCLjbeb1uJs4g2B96reC++k/fs22hnkz9W/05Cfj/R9SP9+wbNPwY+E3m/Hkd9Yshj0vFo+kzSv8OQ81TabsTrik4V3320QfcOjAcRfxD5wonfHh2HgHeYjk+LPxm/DJvw3GsT3Q7wHcwJG+8X+T7mJv1SvtO5x3c5D/kepwl6d9C/a9H4daQNqcBlE9xDbIIv0ib6JpF3Fd/x7AHPT/r3QRXfDWntr/j/aBM+Kj5tHZSB70XqkmiVdplV1s0f9CvzXVBrm+AaRWvh+6F0vh9SiLsC++U20XkJ3z/t4zun/YxvsAjeWxbpd7GKzi4rv0tWfuesgrOU8WD4jEKPBP37Jy1vPDwV7NLgmW7mejZL3nYW9LQIrjUW8TtvkTydrdx/yb+c/Ies4v/EKnWuTR5f+EfRnjBJ3DsmwdffLHZxZql7gVniV7Pw/GiRes63SN13W/iOxSr2fa0yn2AVnEv5zizLKvobTKJjpInnchP7P5PU8YxJcLUwc18w872QWcavoEsbdIig/cQi80fQ6Rm+c8s38v2NUfI9MUr+xibu+ybRexT9j8F3xCQ63gJXe3SJMvM9Bvi8LbIeRlh4n0qez42Ce6+RdW/k/MEo+bxMnHuZZP3UAkeQiXMUk+hqA8c+7MpM3D/Msi72GNl/wyvLKHhXGAVPqlHiTDOy/zait5HzXvAWEOeoUXR40SR168L6GGt66qfFWU2bR/xlxEsxit948ETRjzNK/ScbeU8NPjfjY9EnBvv16LYcPElG0T+CPD0YD6NtDZ5qRtG1Mzr7Uv97qbyfge9rRlnPbdCrqVF03gmeeUZ4Mz+WOAPA3xN8MfBvz3xHeHegX9PI/gKcj1IF/+1UnlONPD9Tl9XgXkbcJeBdiF7JjL+LHu3BG4R+TdCnBvNVyFuJ9m/0KQD/LngexD+XcRd5UnQd5Fxe56fxCgV3c52nxvs56tGAdeTL/cXL9PQ61NZxCXoeJc4exlcQLw1cdvIOZL43OAOpWzC6hXL9vsn10oO2mUn0qMX1dY+8vxF/O+t/JXoqrA8revXT+WrrwR99e3DdNiWvD/wuwec6OlbB7ji67EKnTP061eKPYz6WugeTX23/B4g/BBw=AQAAAACAAADAKwAAIgAAAA==eJztwTEBAAAAwqD1T20LL6AAAAAAAAAAAAAAgJcBK8AAAQ==AQAAAACAAADAKwAAIgAAAA==eJztwTEBAAAAwqD1T20LL6AAAAAAAAAAAAAAgJcBK8AAAQ==AQAAAACAAAAERwAA0w0AAA==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AgAAAACAAAAALwAADBMAABsHAAA=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AQAAAACAAADAKwAAYwcAAA==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AQAAAACAAAB4BQAAFAAAAA==eJzj5BwFo2AUjIJRQE8AALsOMTk=
+  </AppendedData>
+</VTKFile>

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CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/Grid_9_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/grid/final-grid.dat ADDED Viewed

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CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/log.sparta ADDED Viewed

	@@ -0,0 +1,319 @@

+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 0.14
+variable   Ma equal 4.800000000000001
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    mfp equal 0.14*${L}
+variable    mfp equal 0.14*1
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${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}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.14/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.14/4*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.14/4*0.14)
+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 4.8*${sos}
+variable    vo equal 4.8*307.815564238681
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vx equal 1477.51470834567*cos(${theta}*2*PI/360)
+variable    vx equal 1477.51470834567*cos(0*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    vy equal 1477.51470834567*sin(${theta}*2*PI/360)
+variable    vy equal 1477.51470834567*sin(0*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/0.14*${cpmfp}
+variable    xncells equal (6--5)/0.14*4
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/0.14*${cpmfp}
+variable    yncells equal (5--5)/0.14*4
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 2.64159929186054e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 2.64159929186054e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 2.64159929186054e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 2.64159929186054e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 2.64159929186054e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 2.64159929186054e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
+variable    Fnum equal 2.64159929186054e+20*(6--5)*(5--5)/30/314.285714285714/${yncells}
+variable    Fnum equal 2.64159929186054e+20*(6--5)*(5--5)/30/314.285714285714/285.714285714286
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/1477.51470834567/${xncells}/10/4
+variable    tstep equal (--5+6)/1477.51470834567/314.285714285714/10/4
+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 2.64159929186054e+20
+global    fnum ${Fnum}
+global    fnum 1.07865304417639e+16
+timestep    ${tstep}
+timestep    5.92210686673781e-07
+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    314.285714285714 ${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    314.285714285714 285.714285714286 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+Created 388281 child grid cells
+  CPU time = 0.338965 secs
+  create/ghost percent = 0.786921 99.2131
+balance_grid  rcb cell
+Balance grid migrated 387525 cells
+  CPU time = 0.254601 secs
+  reassign/sort/migrate/ghost percent = 24.789 0.0428271 7.11107 68.0571
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1477.51470834567 ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1477.51470834567 0 0.0 temp ${To}
+mixture   air Ar vstream 1477.51470834567 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
+  912 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  346955 40414 912 = cells outside/inside/overlapping surfs
+  912 = surf cells with 1,2,etc splits
+  109.215 109.215 = cell-wise and global flow volume
+  CPU time = 0.252637 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 7.66902 8.84082 1.07903 14.235 68.1761 5.8269 0.0493191
+  surf2grid time = 0.0359628 secs
+  map/comm1/comm2/comm3/comm4/split percent = 27.4935 17.5811 11.6099 1.40232 7.83011 4.65378
+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 3809 cells
+  CPU time = 0.213651 secs
+  reassign/sort/migrate/ghost percent = 7.93981 1.17392 5.21973 85.6665
+create_particles air n 0
+WARNING: Created unexpected # of particles: 2674643 versus 2674646 (../create_particles.cpp:346)
+Created 2674643 particles
+  CPU time = 0.0440764 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) = 3.2168 0 10.125
+  grid      (ave,min,max) = 13.712 2.45129 26.3888
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 16.9494 7.72189 32.2219
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0  2674643        0        0        0            0            0
+   10000    82.189428  2755120    99516    84631       41    2686765.3      37.8436
+   20000    220.15961  2930392   111961    96822       36    2777483.5      38.4114
+   30000    378.07803  2953561   113776    98080       44    2833622.4    38.618333
+   40000    538.51507  2958531   113768    98041       31    2864541.7      38.7594
+   50000     699.0168  2959427   113718    98202       39    2883577.8     38.83454
+   60000    859.31728  2958722   113566    98023       41    2896254.9    38.921783
+   70000    1019.0503  2960657   113925    98269       22    2905412.1    38.980671
+   80000      1179.15  2960007   113866    97989       32    2912252.4    39.003788
+   90000    1339.5845  2956524   113220    97694       39    2917478.7    39.032567
+  100000    1500.0172  2960453   114246    98551       33    2921577.7     39.05922
+  110000     1660.551  2961410   113873    98306       39      2925171    39.076445
+  120000    1820.3696  2960492   113977    98463       35    2928163.4    39.097758
+  130000    1980.9299  2959726   113988    98448       39    2930665.1    39.112692
+  140000    2141.9205  2961673   113945    98145       32    2932847.3    39.125007
+  150000    2301.0498  2957514   113727    98189       40    2934610.8    39.141213
+  160000    2462.0681  2959144   114017    98439       45    2936078.8    39.143469
+  170000    2622.6987  2960057   113512    97919       41    2937466.2    39.146918
+  180000    2781.7648  2959094   113684    98111       42    2938708.3    39.150689
+  190000    2942.1752  2960608   113873    98345       53    2939837.4    39.160642
+  200000    3102.5209  2958071   114056    98221       29    2940836.3    39.166725
+Loop time of 3102.53 on 128 procs for 200000 steps with 2958071 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.033358   | 96.603     | 580.1      |1182.7 |  3.11
+Coll    | 1.9109     | 179.54     | 1909.4     |2300.1 |  5.79
+Sort    | 0.80441    | 61.698     | 365.26     |1111.1 |  1.99
+Comm    | 149.53     | 181.25     | 197.43     |  83.3 |  5.84
+Modify  | 0.032054   | 0.56321    | 8.0988     | 169.6 |  0.02
+Output  | 0.013415   | 0.18288    | 0.20332    |   7.6 |  0.01
+Other   |            | 2583       |            |       | 83.24
+Particle moves    = 588167253264 (588B)
+Cells touched     = 614812013987 (615B)
+Particle comms    = 489194679 (489M)
+Boundary collides = 0 (0K)
+Boundary exits    = 48641574 (48.6M)
+SurfColl checks   = 383474674 (383M)
+SurfColl occurs   = 7833345 (7.83M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 26899620088 (26.9B)
+Collide occurs    = 20377125868 (20.4B)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.48107e+06
+Particle-moves/step: 2.94084e+06
+Cell-touches/particle/step: 1.0453
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.000831727
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 8.27002e-05
+Surface-checks/particle/step: 0.000651982
+Surface-collisions/particle/step: 1.33182e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0457346
+Collisions/particle/step: 0.0346451
+Reactions/particle/step: 0
+Particles: 23109.9 ave 160586 max 0 min
+Histogram: 84 16 4 10 4 6 0 0 2 2
+Cells:      3033.45 ave 3034 max 3033 min
+Histogram: 71 0 0 0 0 0 0 0 0 57
+GhostCell: 77934.3 ave 143096 max 4166 min
+Histogram: 23 7 12 10 18 2 6 4 16 30
+EmptyCell: 94.6406 ave 580 max 0 min
+Histogram: 75 6 12 7 23 0 1 1 1 2
+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) = 3.49365 0 16.875
+  grid      (ave,min,max) = 13.712 2.45129 26.3888
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 18.2449 8.74039 33.2404
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0  2958071   114056    98221        0            0            0
+  210000    252.91365  2959819   113927    98418       53      2959776       39.196
+  220000    506.10037  2959654   114037    98508       48    2960135.5     39.21725
+  230000    758.93167  2962193   114431    98982       34    2960101.8    39.237867
+  240000    1012.4431  2960543   113899    98126       43    2960305.2     39.24685
+  250000    1266.0418  2959071   113682    98098       33    2960419.8     39.22024
+  260000    1518.6421  2958344   113805    98145       38    2960214.3    39.241417
+  270000    1772.3195  2958070   113839    98459       41    2959960.7    39.239357
+  280000    2027.2098  2958837   113704    98360       49    2959907.9      39.2451
+  290000    2281.0958  2960145   113875    98335       41    2959958.2    39.257256
+  300000    2535.0286  2960878   114185    98576       31    2960032.7     39.26447
+Loop time of 2535.05 on 128 procs for 100000 steps with 2960878 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.025608   | 49.182     | 298.05     | 815.9 |  1.94
+Coll    | 0.99762    | 98.454     | 1118.6     |1718.3 |  3.88
+Sort    | 2.3007     | 37.286     | 205.59     | 785.3 |  1.47
+Comm    | 78.01      | 95.731     | 104.7      |  63.2 |  3.78
+Modify  | 16.758     | 131.89     | 752.88     |1374.3 |  5.20
+Output  | 0.30071    | 0.30231    | 0.30672    |   0.2 |  0.01
+Other   |            | 2122       |            |       | 83.71
+Particle moves    = 296003267561 (296B)
+Cells touched     = 309386954493 (309B)
+Particle comms    = 245603260 (246M)
+Boundary collides = 0 (0K)
+Boundary exits    = 24463473 (24.5M)
+SurfColl checks   = 192846568 (193M)
+SurfColl occurs   = 3926447 (3.93M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 13703966881 (13.7B)
+Collide occurs    = 10374900124 (10.4B)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 912220
+Particle-moves/step: 2.96003e+06
+Cell-touches/particle/step: 1.04521
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.000829732
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 8.2646e-05
+Surface-checks/particle/step: 0.000651501
+Surface-collisions/particle/step: 1.32649e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0462967
+Collisions/particle/step: 0.03505
+Reactions/particle/step: 0
+Particles: 23131.9 ave 160909 max 0 min
+Histogram: 85 15 4 10 4 6 0 0 2 2
+Cells:      3033.45 ave 3034 max 3033 min
+Histogram: 71 0 0 0 0 0 0 0 0 57
+GhostCell: 77934.3 ave 143096 max 4166 min
+Histogram: 23 7 12 10 18 2 6 4 16 30
+EmptyCell: 94.6406 ave 580 max 0 min
+Histogram: 75 6 12 7 23 0 1 1 1 2
+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 = 388281
+  CPU time = 0.0509493 secs
+write_surf    surf/geom.surf
+  surf elements = 200
+  CPU time = 0.00164965 secs

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/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/Kn0p14/simulation0229_Kn0p14Ma4p8/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      0.01484      0.75602     -0.75593     0.011875  -1.7845e-05    -0.001136    -0.011874   0.00016868       66.651            0            0
+129     -0.31871      0.38526     -0.30645      0.39508      0.31444       16.558       10.353      -12.922       1.5924       1.2757      0.18762     -0.18293       1995.9            0            0
+2      0.49975    -0.015705      0.49901    -0.031395      0.01483      0.76289     -0.76204     0.035937  -0.00061075    -0.012951    -0.011979   0.00036105       73.381            0            0
+130     -0.30645      0.39508     -0.29389      0.40451      0.29689       15.618       9.3773      -12.489       1.5778       1.1846      0.17207     -0.17757       1861.3            0            0
+3      0.49901    -0.031395      0.49778    -0.047054      0.01485      0.76207     -0.75972     0.059792   -0.0011036    -0.014023    -0.011951    0.0007189       65.118            0            0
+131     -0.29389      0.40451     -0.28104      0.41354      0.28166       14.856       8.5425      -12.155       1.6259       1.1427      0.15972     -0.17297       1815.6            0            0
+4      0.49778    -0.047054      0.49606    -0.062667      0.01461      0.74783     -0.74331     0.082063     -0.00149    -0.013496    -0.011699     0.001077       59.133            0            0
+132     -0.28104      0.41354     -0.26791      0.42216      0.26454       13.942       7.6543      -11.652       1.5757       1.0351      0.14498     -0.16677       1706.1            0            0
+5      0.49606    -0.062667      0.49384    -0.078217      0.01428       0.7328     -0.72549      0.10325   -0.0038871    -0.027312    -0.011457    0.0011928       61.681            0            0
+133     -0.26791      0.42216     -0.25452      0.43037      0.25197        13.21        6.902      -11.263       1.5906      0.97471       0.1334      -0.1616       1624.2            0            0
+6      0.49384    -0.078217      0.49114    -0.093691      0.01432      0.72636     -0.71555      0.12488   -0.0014821   -0.0084923    -0.011263    0.0018282       68.001            0            0
+134     -0.25452      0.43037     -0.24088      0.43815      0.23878        12.57       6.2279      -10.919       1.5344      0.87519      0.12193     -0.15776       1527.3            0            0
+7      0.49114    -0.093691      0.48796     -0.10907      0.01372      0.69542     -0.68097      0.14102   -0.0035902    -0.017336    -0.010753    0.0019428       61.125            0            0
+135     -0.24088      0.43815       -0.227       0.4455      0.22522       11.797       5.5201      -10.426       1.6286      0.86231      0.11229     -0.15021       1472.1            0            0
+8      0.48796     -0.10907      0.48429     -0.12434      0.01303      0.65943     -0.64121      0.15394   -0.0079512    -0.033119    -0.010197    0.0018978       59.429            0            0
+136       -0.227       0.4455     -0.21289      0.45241      0.20758       10.943       4.8144      -9.8274       1.5182      0.74375     0.099467     -0.14268       1362.8            0            0
+9      0.48429     -0.12434      0.48015      -0.1395      0.01307      0.64808     -0.62511      0.17101   -0.0067699    -0.024746   -0.0099252    0.0022974       48.911            0            0
+137     -0.21289      0.45241     -0.19857      0.45888      0.19759       10.355       4.2613      -9.4377       1.5014      0.67791     0.090517     -0.13759       1274.2            0            0
+10      0.48015      -0.1395      0.47553     -0.15451      0.01274      0.63776     -0.60956      0.18753    -0.005781    -0.018791   -0.0096654    0.0026504       54.481            0            0
+138     -0.19857      0.45888     -0.18406      0.46489      0.18481       9.6952       3.7102      -8.9572        1.552      0.64285     0.082655      -0.1306       1196.6            0            0
+11      0.47553     -0.15451      0.47044     -0.16937      0.01191      0.61776     -0.58445       0.2001    -0.012555    -0.036669   -0.0093774    0.0025671       62.856            0            0
+139     -0.18406      0.46489     -0.16937      0.47044      0.16982       9.0048        3.183      -8.4235       1.4193      0.53631      0.07229     -0.12389       1142.8            0            0
+12      0.47044     -0.16937      0.46489     -0.18406      0.01113      0.55511     -0.51927      0.19622   -0.0030477   -0.0080655   -0.0082043    0.0029554       48.871            0            0
+140     -0.16937      0.47044     -0.15451      0.47553      0.15885       8.3587       2.7075      -7.9081       1.4398      0.49297     0.065144     -0.11647       1043.1            0            0
+13      0.46489     -0.18406      0.45888     -0.19857      0.01061      0.54688     -0.50525      0.20928    -0.001326   -0.0032012    -0.007957     0.003237       50.299            0            0
+141     -0.15451      0.47553      -0.1395      0.48015      0.14681       7.6496       2.2493      -7.3114       1.3745      0.42285      0.05692      -0.1082       959.81            0            0
+14      0.45888     -0.19857      0.45241     -0.21289      0.00969      0.49595     -0.45201      0.20409    0.0074348     0.016466   -0.0069831    0.0034644       49.791            0            0
+142      -0.1395      0.48015     -0.12434      0.48429      0.13627       7.1838       1.8956      -6.9292        1.322      0.36167     0.050541     -0.10316       927.11            0            0
+15      0.45241     -0.21289       0.4455       -0.227      0.00942      0.47597     -0.42743       0.2094     0.013747     0.028062   -0.0064979    0.0037298       41.877            0            0
+143     -0.12434      0.48429     -0.10907      0.48796      0.12866       6.7835       1.5836      -6.5961         1.37      0.32891     0.046393     -0.09844       883.71            0            0
+16       0.4455       -0.227      0.43815     -0.24088       0.0088       0.4424     -0.39098      0.20701    0.0089565     0.016916   -0.0060005    0.0035173       44.009            0            0
+144     -0.10907      0.48796    -0.093691      0.49114      0.11888       6.2237       1.2621      -6.0944        1.278      0.26465     0.039898     -0.09157        831.7            0            0
+17      0.43815     -0.24088      0.43037     -0.25452      0.00863      0.42006     -0.36487      0.20812     0.015093     0.026461   -0.0054941    0.0036846       44.032            0            0
+145    -0.093691      0.49114    -0.078217      0.49384      0.11083       5.7994      0.99709      -5.7131       1.2192      0.21279     0.034812    -0.086394       771.88            0            0
+18      0.43037     -0.25452      0.42216     -0.26791      0.00733      0.36305     -0.30955      0.18969     0.025885      0.04224   -0.0044556     0.003643       43.708            0            0
+146    -0.078217      0.49384    -0.062667      0.49606      0.10191       5.3113      0.74837      -5.2584       1.1379      0.16195     0.029628    -0.080051       689.22            0            0
+19      0.42216     -0.26791      0.41354     -0.28104      0.00753      0.36358     -0.30388      0.19961     0.038021     0.057882   -0.0041759    0.0040445       42.486            0            0
+147    -0.062667      0.49606    -0.047054      0.49778      0.09274       4.8797      0.53547      -4.8502       1.1403      0.12589     0.026321    -0.074207       647.23            0            0
+20      0.41354     -0.28104      0.40451     -0.29389      0.00715      0.34967     -0.28608      0.20106     0.046052     0.065526   -0.0037702    0.0041874       40.468            0            0
+148    -0.047054      0.49778    -0.031395      0.49901      0.08647       4.5632      0.35803      -4.5491       1.0594     0.083373     0.022263    -0.070145        612.5            0            0
+21      0.40451     -0.29389      0.39508     -0.30645      0.00627       0.3022     -0.24167      0.18145     0.056353     0.075055   -0.0029108     0.004029       39.191            0            0
+149    -0.031395      0.49901    -0.015705      0.49975      0.08025       4.1756       0.1967      -4.1709       1.0486     0.049452     0.019561    -0.064738       562.28            0            0
+22      0.39508     -0.30645      0.38526     -0.31871      0.00621      0.29297     -0.22864      0.18317     0.074829     0.093402   -0.0024159    0.0043443       41.329            0            0
+150    -0.015705      0.49975            0          0.5      0.07229       3.7961     0.059626      -3.7956       1.0276     0.016143     0.017077    -0.059365       537.41            0            0
+23      0.38526     -0.31871      0.37506     -0.33066      0.00629      0.30432     -0.23141      0.19764     0.082423     0.096505   -0.0023401    0.0046202       47.847            0            0
+151            0          0.5     0.015705      0.49975      0.06842       3.5754     -0.05616       -3.575      0.95035    -0.014929     0.014045    -0.056387       504.53            0            0
+24      0.37506     -0.33066      0.36448     -0.34227      0.00656      0.30772      -0.2276       0.2071     0.089903     0.098802   -0.0021628    0.0048048       52.378            0            0
+152     0.015705      0.49975     0.031395      0.49901      0.06257       3.2614     -0.15363      -3.2578      0.93208    -0.043956     0.012227    -0.051862       441.18            0            0
+25      0.36448     -0.34227      0.35355     -0.35355      0.00695      0.33034     -0.23722      0.22989      0.11597      0.11967   -0.0019046    0.0054906       55.269            0            0
+153     0.031395      0.49901     0.047054      0.49778      0.05703       2.9669     -0.23278      -2.9577      0.88959    -0.070012     0.010317    -0.047558       422.82            0            0
+26      0.35355     -0.35355      0.34227     -0.36448      0.00751      0.34924     -0.24304       0.2508      0.12934      0.12534   -0.0017859    0.0059082        57.27            0            0
+154     0.047054      0.49778     0.062667      0.49606      0.05117       2.6761     -0.29366      -2.6599      0.79248     -0.08749    0.0078351    -0.043155       377.59            0            0
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+82     -0.41354     -0.28104     -0.42216     -0.26791      0.47971       25.152       21.023       13.809       1.0794      -1.6433      0.34716      0.19109       2901.1            0            0
+83     -0.42216     -0.26791     -0.43037     -0.25452      0.49727       26.276       22.404       13.729      0.98156      -1.6018      0.36732      0.19049       3093.7            0            0
+84     -0.43037     -0.25452     -0.43815     -0.24088      0.50992       26.795       23.275       13.276      0.85424      -1.4976      0.37901        0.185       3129.8            0            0
+85     -0.43815     -0.24088      -0.4455       -0.227      0.53146       27.866       24.627       13.039      0.81329       -1.536      0.39959      0.18068       3145.5            0            0
+86      -0.4455       -0.227     -0.45241     -0.21289      0.53964       28.381       25.487       12.486      0.68065      -1.3894      0.41102       0.1743       3293.7            0            0
+87     -0.45241     -0.21289     -0.45888     -0.19857      0.55829       29.333       26.734       12.071      0.67522      -1.4955      0.43053      0.16611       3359.9            0            0
+88     -0.45888     -0.19857     -0.46489     -0.18406      0.56768        29.94       27.661       11.457      0.54203      -1.3086      0.44299      0.15941       3482.2            0            0
+89     -0.46489     -0.18406     -0.47044     -0.16937      0.57854        30.42       28.456       10.753      0.48575      -1.2855       0.4546       0.1487       3526.1            0            0
+90     -0.47044     -0.16937     -0.47553     -0.15451      0.59265       31.177       29.496       10.099      0.42665      -1.2461      0.47001      0.13905         3562            0            0
+91     -0.47553     -0.15451     -0.48015      -0.1395      0.60378       31.735       30.332       9.3314      0.36507      -1.1867      0.48217      0.12793       3643.5            0            0
+92     -0.48015      -0.1395     -0.48429     -0.12434      0.61215       32.156       31.016       8.4851      0.29819        -1.09      0.49187      0.11616       3686.2            0            0
+93     -0.48429     -0.12434     -0.48796     -0.10907      0.61954       32.731       31.827       7.6409      0.21565     -0.89825       0.5033      0.10591       3806.6            0            0
+94     -0.48796     -0.10907     -0.49114    -0.093691      0.62685       32.958       32.273       6.6834      0.16183     -0.78146      0.50946     0.092703       3822.9            0            0
+95     -0.49114    -0.093691     -0.49384    -0.078217      0.63941       33.491       32.993       5.7582      0.12805      -0.7337      0.52024     0.078921       3716.7            0            0
+96     -0.49384    -0.078217     -0.49606    -0.062667      0.64618       33.842       33.504       4.7683     0.087223     -0.61286      0.52763     0.065271         3890            0            0
+97     -0.49606    -0.062667     -0.49778    -0.047054      0.64663       33.863       33.659       3.7159     0.045081     -0.40834      0.52939     0.051953       3733.9            0            0
+98     -0.49778    -0.047054     -0.49901    -0.031395       0.6509        34.36       34.255       2.6959     0.022767     -0.28928       0.5384     0.037801       4043.2            0            0
+99     -0.49901    -0.031395     -0.49975    -0.015705      0.65664       34.509       34.471       1.6256     0.015037     -0.31887      0.54168     0.020525       3974.8            0            0
+100     -0.49975    -0.015705         -0.5            0      0.65792       34.576       34.572       0.5431  -1.9084e-05    0.0012148      0.54303    0.0085497       4005.4            0            0
+101         -0.5            0     -0.49975     0.015705      0.65411       34.338       34.333     -0.53935    0.0012143     0.077301       0.5393   -0.0072576       3934.2            0            0
+102     -0.49975     0.015705     -0.49901     0.031395      0.65091        34.38       34.342      -1.6195     0.007509      0.15923      0.53953    -0.022937       4027.4            0            0
+103     -0.49901     0.031395     -0.49778     0.047054      0.65004       34.201       34.095      -2.6834     0.027026      0.34339      0.53597    -0.036755         3984            0            0
+104     -0.49778     0.047054     -0.49606     0.062667      0.65305       34.202       33.995      -3.7531     0.054973      0.49794      0.53483     -0.05113       3821.6            0            0
+105     -0.49606     0.062667     -0.49384     0.078217      0.64079       33.775       33.438      -4.7589     0.079614      0.55939      0.52647    -0.065963       3937.9            0            0
+106     -0.49384     0.078217     -0.49114     0.093691      0.63911       33.484       32.986      -5.7569      0.13522      0.77479      0.52024    -0.078256       3759.1            0            0
+107     -0.49114     0.093691     -0.48796      0.10907      0.63505        33.32       32.628       -6.757      0.16211      0.78278      0.51505    -0.093838       3823.1            0            0
+108     -0.48796      0.10907     -0.48429      0.12434      0.62434       32.751       31.847      -7.6457      0.23311      0.97097      0.50389     -0.10484       3802.9            0            0
+109     -0.48429      0.12434     -0.48015       0.1395      0.61412       32.284        31.14      -8.5189      0.28605       1.0456      0.49362     -0.11739       3675.6            0            0
+110     -0.48015       0.1395     -0.47553      0.15451       0.6084       31.991       30.577      -9.4068      0.34447       1.1197       0.4857     -0.13017       3626.2            0            0
+111     -0.47553      0.15451     -0.47044      0.16937      0.59213       31.087       29.411       -10.07      0.41547       1.2135      0.46849     -0.13911       3498.3            0            0
+112     -0.47044      0.16937     -0.46489      0.18406      0.58075       30.561       28.588      -10.803      0.48658       1.2877      0.45669     -0.14946       3523.1            0            0
+113     -0.46489      0.18406     -0.45888      0.19857       0.5696       29.947       27.667       -11.46      0.56132       1.3552      0.44339     -0.15872       3477.9            0            0
+114     -0.45888      0.19857     -0.45241      0.21289      0.55837       29.273       26.679      -12.046      0.63195       1.3996      0.42898     -0.16723       3403.1            0            0
+115     -0.45241      0.21289      -0.4455        0.227      0.54237       28.512       25.605      -12.544      0.70661       1.4424      0.41328     -0.17437       3293.1            0            0
+116      -0.4455        0.227     -0.43815      0.24088      0.53291        27.93       24.684      -13.069      0.81735       1.5437      0.40055     -0.18104         3227            0            0
+117     -0.43815      0.24088     -0.43037      0.25452      0.51501       27.011       23.463      -13.383      0.86636       1.5189      0.38214     -0.18635       3098.8            0            0
+118     -0.43037      0.25452     -0.42216      0.26791      0.49618       26.109       22.262      -13.642      0.95222       1.5539      0.36463     -0.18987       3026.5            0            0
+119     -0.42216      0.26791     -0.41354      0.28104      0.48271       25.307       21.152      -13.894       1.0381       1.5804      0.34855     -0.19342       2939.9            0            0
+120     -0.41354      0.28104     -0.40451      0.29389      0.46597        24.44       19.995      -14.053         1.11       1.5793      0.33151     -0.19593       2785.8            0            0
+121     -0.40451      0.29389     -0.39508      0.30645      0.45159       23.743       18.987      -14.256        1.175        1.565      0.31669     -0.19934       2795.4            0            0
+122     -0.39508      0.30645     -0.38526      0.31871       0.4332       22.778       17.777      -14.242       1.2466        1.556       0.2988     -0.19926         2721            0            0
+123     -0.38526      0.31871     -0.37506      0.33066      0.41677       21.903       16.655      -14.225       1.3064       1.5296      0.28213     -0.19941       2549.5            0            0
+124     -0.37506      0.33066     -0.36448      0.34227      0.39885       20.909       15.465      -14.072       1.3356       1.4678      0.26389     -0.19798       2436.3            0            0
+125     -0.36448      0.34227     -0.35355      0.35355      0.38029       19.975       14.345      -13.901       1.4542       1.5006      0.24816     -0.19478       2415.7            0            0
+126     -0.35355      0.35355     -0.34227      0.36448      0.36485       19.106       13.296      -13.721       1.3641       1.3219      0.23027     -0.19475       2219.2            0            0
+127     -0.34227      0.36448     -0.33066      0.37506      0.34925        18.39       12.377      -13.602       1.5252       1.3878      0.21836     -0.19185       2241.5            0            0
+128     -0.33066      0.37506     -0.31871      0.38526      0.33334       17.469       11.345      -13.284       1.4695        1.255      0.20128     -0.18894       2044.3            0            0

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/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/Kn0p14/simulation0229_Kn0p14Ma4p8/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/Kn0p14/simulation0229_Kn0p14Ma4p8/slurm-28428430.out ADDED Viewed

	@@ -0,0 +1,221 @@

+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 388281 child grid cells
+  CPU time = 0.338965 secs
+  create/ghost percent = 0.786921 99.2131
+Balance grid migrated 387525 cells
+  CPU time = 0.254601 secs
+  reassign/sort/migrate/ghost percent = 24.789 0.0428271 7.11107 68.0571
+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
+  912 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  346955 40414 912 = cells outside/inside/overlapping surfs
+  912 = surf cells with 1,2,etc splits
+  109.214731023049 109.214731023047 = cell-wise and global flow volume
+  CPU time = 0.252637 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 7.66902 8.84082 1.07903 14.235 68.1761 5.8269 0.0493191
+  surf2grid time = 0.0359628 secs
+  map/comm1/comm2/comm3/comm4/split percent = 27.4935 17.5811 11.6099 1.40232 7.83011 4.65378
+Balance grid migrated 3809 cells
+  CPU time = 0.213651 secs
+  reassign/sort/migrate/ghost percent = 7.93981 1.17392 5.21973 85.6665
+Creating particles ...
+WARNING: Created unexpected # of particles: 2674643 versus 2674646 (../create_particles.cpp:346)
+Created 2674643 particles
+  CPU time = 0.0440764 secs
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 3.2168 0 10.125
+  grid      (ave,min,max) = 13.712 2.45129 26.3888
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 16.9494 7.72189 32.2219
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0  2674643        0        0        0            0            0
+   10000    82.189428  2755120    99516    84631       41    2686765.3      37.8436
+   20000    220.15961  2930392   111961    96822       36    2777483.5      38.4114
+   30000    378.07803  2953561   113776    98080       44    2833622.4    38.618333
+   40000    538.51507  2958531   113768    98041       31    2864541.7      38.7594
+   50000     699.0168  2959427   113718    98202       39    2883577.8     38.83454
+   60000    859.31728  2958722   113566    98023       41    2896254.9    38.921783
+   70000    1019.0503  2960657   113925    98269       22    2905412.1    38.980671
+   80000      1179.15  2960007   113866    97989       32    2912252.4    39.003788
+   90000    1339.5845  2956524   113220    97694       39    2917478.7    39.032567
+  100000    1500.0172  2960453   114246    98551       33    2921577.7     39.05922
+  110000     1660.551  2961410   113873    98306       39      2925171    39.076445
+  120000    1820.3696  2960492   113977    98463       35    2928163.4    39.097758
+  130000    1980.9299  2959726   113988    98448       39    2930665.1    39.112692
+  140000    2141.9205  2961673   113945    98145       32    2932847.3    39.125007
+  150000    2301.0498  2957514   113727    98189       40    2934610.8    39.141213
+  160000    2462.0681  2959144   114017    98439       45    2936078.8    39.143469
+  170000    2622.6987  2960057   113512    97919       41    2937466.2    39.146918
+  180000    2781.7648  2959094   113684    98111       42    2938708.3    39.150689
+  190000    2942.1752  2960608   113873    98345       53    2939837.4    39.160642
+  200000    3102.5209  2958071   114056    98221       29    2940836.3    39.166725
+Loop time of 3102.53 on 128 procs for 200000 steps with 2958071 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.033358   | 96.603     | 580.1      |1182.7 |  3.11
+Coll    | 1.9109     | 179.54     | 1909.4     |2300.1 |  5.79
+Sort    | 0.80441    | 61.698     | 365.26     |1111.1 |  1.99
+Comm    | 149.53     | 181.25     | 197.43     |  83.3 |  5.84
+Modify  | 0.032054   | 0.56321    | 8.0988     | 169.6 |  0.02
+Output  | 0.013415   | 0.18288    | 0.20332    |   7.6 |  0.01
+Other   |            | 2583       |            |       | 83.24
+Particle moves    = 588167253264 (588B)
+Cells touched     = 614812013987 (615B)
+Particle comms    = 489194679 (489M)
+Boundary collides = 0 (0K)
+Boundary exits    = 48641574 (48.6M)
+SurfColl checks   = 383474674 (383M)
+SurfColl occurs   = 7833345 (7.83M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 26899620088 (26.9B)
+Collide occurs    = 20377125868 (20.4B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.48107e+06
+Particle-moves/step: 2.94084e+06
+Cell-touches/particle/step: 1.0453
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.000831727
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 8.27002e-05
+Surface-checks/particle/step: 0.000651982
+Surface-collisions/particle/step: 1.33182e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0457346
+Collisions/particle/step: 0.0346451
+Gas-reactions/particle/step: 0
+Particles: 23109.9 ave 160586 max 0 min
+Histogram: 84 16 4 10 4 6 0 0 2 2
+Cells:     3033.45 ave 3034 max 3033 min
+Histogram: 71 0 0 0 0 0 0 0 0 57
+GhostCell: 77934.3 ave 143096 max 4166 min
+Histogram: 23 7 12 10 18 2 6 4 16 30
+EmptyCell: 94.6406 ave 580 max 0 min
+Histogram: 75 6 12 7 23 0 1 1 1 2
+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) = 3.49365 0 16.875
+  grid      (ave,min,max) = 13.712 2.45129 26.3888
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 18.2449 8.74039 33.2404
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0  2958071   114056    98221        0            0            0
+  210000    252.91365  2959819   113927    98418       53      2959776       39.196
+  220000    506.10037  2959654   114037    98508       48    2960135.5     39.21725
+  230000    758.93167  2962193   114431    98982       34    2960101.8    39.237867
+  240000    1012.4431  2960543   113899    98126       43    2960305.2     39.24685
+  250000    1266.0418  2959071   113682    98098       33    2960419.8     39.22024
+  260000    1518.6421  2958344   113805    98145       38    2960214.3    39.241417
+  270000    1772.3195  2958070   113839    98459       41    2959960.7    39.239357
+  280000    2027.2098  2958837   113704    98360       49    2959907.9      39.2451
+  290000    2281.0958  2960145   113875    98335       41    2959958.2    39.257256
+  300000    2535.0286  2960878   114185    98576       31    2960032.7     39.26447
+Loop time of 2535.05 on 128 procs for 100000 steps with 2960878 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.025608   | 49.182     | 298.05     | 815.9 |  1.94
+Coll    | 0.99762    | 98.454     | 1118.6     |1718.3 |  3.88
+Sort    | 2.3007     | 37.286     | 205.59     | 785.3 |  1.47
+Comm    | 78.01      | 95.731     | 104.7      |  63.2 |  3.78
+Modify  | 16.758     | 131.89     | 752.88     |1374.3 |  5.20
+Output  | 0.30071    | 0.30231    | 0.30672    |   0.2 |  0.01
+Other   |            | 2122       |            |       | 83.71
+Particle moves    = 296003267561 (296B)
+Cells touched     = 309386954493 (309B)
+Particle comms    = 245603260 (246M)
+Boundary collides = 0 (0K)
+Boundary exits    = 24463473 (24.5M)
+SurfColl checks   = 192846568 (193M)
+SurfColl occurs   = 3926447 (3.93M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 13703966881 (13.7B)
+Collide occurs    = 10374900124 (10.4B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 912220
+Particle-moves/step: 2.96003e+06
+Cell-touches/particle/step: 1.04521
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.000829732
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 8.2646e-05
+Surface-checks/particle/step: 0.000651501
+Surface-collisions/particle/step: 1.32649e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0462967
+Collisions/particle/step: 0.03505
+Gas-reactions/particle/step: 0
+Particles: 23131.9 ave 160909 max 0 min
+Histogram: 85 15 4 10 4 6 0 0 2 2
+Cells:     3033.45 ave 3034 max 3033 min
+Histogram: 71 0 0 0 0 0 0 0 0 57
+GhostCell: 77934.3 ave 143096 max 4166 min
+Histogram: 23 7 12 10 18 2 6 4 16 30
+EmptyCell: 94.6406 ave 580 max 0 min
+Histogram: 75 6 12 7 23 0 1 1 1 2
+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 = 388281
+  CPU time = 0.0509493 secs
+Writing surface file ...
+  surf elements = 200
+  CPU time = 0.00164965 secs
+Processing  12  grid chunk(s).
+Completed grid chunk number:  7
+Completed grid chunk number:  3
+Completed grid chunk number:  11
+Completed grid chunk number:  10
+Completed grid chunk number:  2
+Completed grid chunk number:  8
+Completed grid chunk number:  9
+Completed grid chunk number:  0
+Completed grid chunk number:  6
+Completed grid chunk number:  1
+Completed grid chunk number:  4
+Completed grid chunk number:  5
+Done in 0:00:43 (wall clock time)
+Processing  12  grid chunk(s).
+Completed grid chunk number:  11
+Completed grid chunk number:  3
+Completed grid chunk number:  7
+Completed grid chunk number:  8
+Completed grid chunk number:  10
+Completed grid chunk number:  2
+Completed grid chunk number:  0
+Completed grid chunk number:  9
+Completed grid chunk number:  6
+Completed grid chunk number:  1
+Completed grid chunk number:  4
+Completed grid chunk number:  5
+Done in 0:00:40 (wall clock time)
+Processing SPARTA surface information.
+Processing dump result file:  ['./output/surf.300000.dat']

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/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="0.00612"              RangeMax="0.65792"              offset="4512"                />
+        <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.29297"              RangeMax="34.576"               offset="6544"                />
+        <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.79853"             RangeMax="34.572"               offset="8436"                />
+        <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-14.256"              RangeMax="14.178"               offset="10396"               />
+        <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.012555"            RangeMax="1.6437"               offset="12384"               />
+        <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-1.6433"              RangeMax="1.5804"               offset="14412"               />
+        <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.012542"            RangeMax="0.54303"              offset="16488"               />
+        <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.19941"             RangeMax="0.19923"              offset="18620"               />
+        <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="33.052"               RangeMax="4043.2"               offset="20752"               />
+        <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22088"               />
+        <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22140"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503"        RangeMax="0.50000001255"        offset="22192"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="23520"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="24424"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="24916"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
+  <AppendedData encoding="base64">
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AQAAAACAAABABgAAeAUAAA==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AQAAAACAAABABgAAqgUAAA==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AQAAAACAAABABgAAwAUAAA==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AQAAAACAAABABgAA3wUAAA==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AQAAAACAAABABgAAKwYAAA==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AQAAAACAAABABgAALAYAAA==eJwtko07FAYcx1mpZqSZl8r7UBt5vFzGqH41WhcPOreZJnchu3Pl9SZjuchLnFMJ4+45SUrcOA45L+nn3J27K29ZaRvzxHpVTXLeK6s9+wO+3+f7fL4fignazZlsgYkw1+moGjdwucJ7W3BmH2wKVkx7XSGBqTkN5tlkmOcl961RhwI3lF8mukOFp5RezxljKqjHmz1XbodD9k6iwKclEng7E0nctZFw+ltj3+eudCjhRNj8nMkAEYf+CzXsGKifV1vO5scAS0dH78DgMag5NXfWzjEGYstOdjy/Fw2LldWE+XNx4BYxcbF/Szy0z8iYLWlxcEWi3PLNrXiwi2KwKp4nQLfrUJ2LkAkJP823BKQeh9ALzEMuhJ+AZz9mPXckGfLGJzVyOlLgaDJbQl8+AW6OM91fBabBH17LwZLYDJjaMc13sMwEzgbzaFNRNvygrhwvasuFBenAST1KHpwVbMlp1zsHpjbei6eMzoPHE/31nfJCWGDHdFatLQZvf+rAvW0lwBJo68oaufBRagNH9y8+uDbaO1jPXoC0V0lT1c4VcA+fEWipl0D/ulW+Nv8yGFBOkS2IVVDHjiskRVbDy5ENf7vWC+C3HG6qeWUtbLqZe9wwUAj6BtAzeq0B0It0MeCBCCp83dVGek3QO63tHXCzGXZRiKdPO7XAbGf2/VaOGBqU9RbhGW1wLbdw2YzdDgHWDsVi6+sQcF7IPdHUCeXx47uJRl1w0c2wxqmlC+4+ZtjPlUigMjgmytWmG97a2/v57JHCaMRTL+M7Urh/Yz2fcEkGu27N3P+nVg4cn8nV2z/ugVLjwxZl7T3g+eCHVs1yBRwQpHqYE5Tg4u5DKYtQQj/ZLIEwqoQ7vEdmV58oIamizd/aQQUrj52olDQVWFc4PA48pIKJetXm2Q0q+FzrL8rQRhVUjPhurkxUQky2ycvFMCUI942nGAgVICBmibIsFVBb9zv1eEAP5E7Jao295DA8Qdbg0GTwtW3iB7x1UjhkuWc6olcCpiKj8g8Od0Ff4uaomuudUCQhvZo07YBp8c494R1iqL82X2O3vRk8Cg4LuO/4HhON0Iq5AlhtkWF49ftKGKVrxKavLgbZgkVA+ql0MFOH2Nm2p6K3c/Kq3hMlSB58YZt/+xLWUxtMWhwEqPHmxsmZiQbctFM8WLyuGdm7LCJlWq3o8OEB8q3hdnxSfj98r+4N1PlvUBcKZ/d+FdIvQXLT2u/TraRY48cfnTogw7TUHydv0uSYV9VUKCH1YDHxUglpmwKpa/s3kf5UoNXkLo0aPyXmubmcfS1RIuOTrfOeBio0jD1ivpihwurA94UqnKVBoHe2CofzKvj071R48x3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+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p14/simulation0229_Kn0p14Ma4p8/surf/geom.surf ADDED Viewed

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

+# Surface element file written by SPARTA
+400 points
+200 lines
+Points
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CylinderKnMa/Kn0p14/simulation0230_Kn0p14Ma4p9/Grid.pvd ADDED Viewed

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

+<?xml version="1.0"?>
+<VTKFile type="Collection" version="0.1"
+               byte_order="LittleEndian"
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+   <Collection>
+    <DataSet timestep="300000" group="" part="0"
+             file="Grid/Grid_300000.pvtu"/>
+   </Collection>
+</VTKFile>