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  1. .gitattributes +4 -0
  2. CylinderKnMa/Kn0p08/simulation0094_Kn0p08Ma6p3/Lambda/Lambda_14_300000.vtu +3 -0
  3. CylinderKnMa/Kn0p08/simulation0094_Kn0p08Ma6p3/grid/Grid_14_300000.vtu +3 -0
  4. CylinderKnMa/Kn0p08/simulation0094_Kn0p08Ma6p3/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p08/simulation0094_Kn0p08Ma6p3/output/lambdakn.300000.dat +3 -0
  6. CylinderKnMa/Kn0p12/simulation0171_Kn0p12Ma4p0/surf/Surf_300000.vtu +38 -0
  7. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Grid.pvd +9 -0
  8. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda.pvd +9 -0
  9. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_0_300000.vtu +0 -0
  10. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_10_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_11_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_12_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_13_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_14_300000.vtu +27 -0
  15. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_15_300000.vtu +27 -0
  16. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_1_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_2_300000.vtu +0 -0
  18. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_300000.pvtu +33 -0
  19. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_3_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_4_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_5_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_6_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_7_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_8_300000.vtu +0 -0
  25. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_9_300000.vtu +0 -0
  26. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/config.txt +78 -0
  28. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/gas.species +14 -0
  30. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_10_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_11_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_12_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_13_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_14_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_15_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_1_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_2_300000.vtu +0 -0
  40. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_300000.pvtu +41 -0
  41. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_3_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_4_300000.vtu +0 -0
  43. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_6_300000.vtu +0 -0
  44. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_7_300000.vtu +0 -0
  45. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_8_300000.vtu +0 -0
  46. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_9_300000.vtu +0 -0
  47. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/final-grid.dat +0 -0
  48. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/log.sparta +319 -0
  49. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/mir.txt +3 -0
  50. CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/output/surf.300000.dat +209 -0
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AQAAAACAAABABgAAcAUAAA==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AQAAAACAAABABgAAywUAAA==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AQAAAACAAABABgAA/gUAAA==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AQAAAACAAABABgAAGgYAAA==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AQAAAACAAABABgAAKAYAAA==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AQAAAACAAABABgAAKQYAAA==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AQAAAACAAABABgAAzwMAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU57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+ </AppendedData>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Grid.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_10_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_11_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_12_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="109801" RangeMax="121612" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.985" RangeMax="-2.0096" offset="5088" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6360" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0035616" RangeMax="0.0036503" offset="6856" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.1185" RangeMax="0.12145" offset="19596" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.4777588543" RangeMax="7.0710678119" offset="28400" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="39696" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63608" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69444" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
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WNnYOTi5uHl4+hm/RZ2RiZmFlY+fg5OLm4eVj+FZ9RiZmFlY2dg5OLm4eXj6Gpc/IxMzCysbOwcnF/TH/P4i3fOA=AQAAAACAAAAgZwAAqAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAPyUAAA==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AQAAAACAAAAgZwAAtxkAAA==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AgAAAACAAAD4IAAAbxkAAJMHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_13_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11805" RangeMax="0.12155" offset="19824" />
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40256" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64168" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70004" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAArCUAAA==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AQAAAACAAAAgZwAA5xkAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_14_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="1.026" RangeMax="4.0014" offset="5080" />
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+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6400" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.064591" RangeMax="0.12135" offset="23848" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="49468" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="73380" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="79216" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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zsLKxc3BycfPw8jF8hz4jEzMLKxs7BycXNw8vH8N36jMyMbOwsrFzcHJx8/DyMXyXPiMT80/4/wFi7RoHAQAAAACAAAAgZwAAzAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAljEAAA==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AQAAAACAAAAgZwAAjycAAA==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AgAAAACAAAD4IAAAZRsAAPEHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_15_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="2278" NumberOfCells="2178" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0314" RangeMax="5.985" offset="3448" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.065686" RangeMax="0.12087" offset="24680" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="51084" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="66476" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70376" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAQRAAABgoAAA==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AQAAAACAAAAQRAAAjwIAAA==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AQAAAACAAAAQRAAASQEAAA==eJzt2U8rwwEcgPELrRw0xLZkEpHElctKO01NbD8tB5mVKTtNjVK0XRQOVqYoGUJpceEikdhBTSY02pTLJuRAHKZF/vy+b+M5fd7Ac3v8ngNfSK9t9SP+uZ+a/nY3I4pJ50iH0YEoZjOu1Rsfoljmaf+YCSGKtlT5mGsHUfQ6NXHDJaIYzLxXXr0iirGu4831wiJE1afkVq6nEVHUOBespVZE0XwxkHj0IIquLnvdyhSi6E+aRrs3EcVwb/2Z9hRRTMazSvoBUfxU0huLecWIqrr/MKoRRXvbUqDWjCh645NX932IYlDx1cz7EcVY1Lw9GEYUny1NP1WHiKImbrCl7hDFWiV/bTaHKLqi1w1uQwmiasByNF7Rgigun0cuEg5EUd2cw4ji50l/pG8OUdRZOr/0u4iifc848XKJKA6ZCm7X3hDFX6QXVXY=AQAAAACAAAAQRAAAIzoAAA==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AQAAAACAAADIagAAbhMAAA==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AQAAAACAAAAQRAAAWQsAAA==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AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_2_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
16
+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ <Piece Source="Lambda_2_300000.vtu"/>
19
+ <Piece Source="Lambda_3_300000.vtu"/>
20
+ <Piece Source="Lambda_4_300000.vtu"/>
21
+ <Piece Source="Lambda_5_300000.vtu"/>
22
+ <Piece Source="Lambda_6_300000.vtu"/>
23
+ <Piece Source="Lambda_7_300000.vtu"/>
24
+ <Piece Source="Lambda_8_300000.vtu"/>
25
+ <Piece Source="Lambda_9_300000.vtu"/>
26
+ <Piece Source="Lambda_10_300000.vtu"/>
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+ <Piece Source="Lambda_11_300000.vtu"/>
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+ <Piece Source="Lambda_12_300000.vtu"/>
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+ <Piece Source="Lambda_13_300000.vtu"/>
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+ <Piece Source="Lambda_14_300000.vtu"/>
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+ <Piece Source="Lambda_15_300000.vtu"/>
32
+ </PUnstructuredGrid>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Lambda/Lambda_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.12
13
+ variable Ma equal 4.1
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ 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
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
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+ 200 lines
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+
6
+ Points
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+
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_0_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_15_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_1_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_300000.pvtu ADDED
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1
+ <?xml version="1.0"?>
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+ <VTKFile type="PUnstructuredGrid" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <PDataArray type="Float64" Name="f_1[10]"/>
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+ </PCellData>
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+ <PPoints>
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+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/Grid_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/grid/final-grid.dat ADDED
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CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/log.sparta ADDED
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1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ variable BZ equal 1.380649E-23
4
+ variable PI equal 3.1415926536
5
+ variable molecular_mass equal 6.63E-26
6
+ variable molecular_diameter equal 4.17E-10
7
+ variable gamma equal 1.666666667
8
+ variable R equal ${BZ}/${molecular_mass}
9
+ variable R equal 1.380649e-23/${molecular_mass}
10
+ variable R equal 1.380649e-23/6.63e-26
11
+ variable L equal 1.0
12
+ variable xmin equal -5.0
13
+ variable xmax equal 6.0
14
+ variable ymin equal -5.0
15
+ variable ymax equal 5.0
16
+ variable Kn equal 0.12
17
+ variable Ma equal 4.1
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.12*${L}
23
+ variable mfp equal 0.12*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
26
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
27
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
28
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*0.12)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 4.1*${sos}
38
+ variable vo equal 4.1*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1262.04381337859*cos(${theta}*2*PI/360)
41
+ variable vx equal 1262.04381337859*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1262.04381337859*sin(${theta}*2*PI/360)
44
+ variable vy equal 1262.04381337859*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
47
+ variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
48
+ variable xncells equal (6--5)/${mfp}*${cpmfp}
49
+ variable xncells equal (6--5)/0.12*${cpmfp}
50
+ variable xncells equal (6--5)/0.12*4
51
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
52
+ variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
53
+ variable yncells equal (5--5)/${mfp}*${cpmfp}
54
+ variable yncells equal (5--5)/0.12*${cpmfp}
55
+ variable yncells equal (5--5)/0.12*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.59551014725462e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.59551014725462e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/${yncells}
64
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/333.333333333333
65
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
66
+ variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
67
+ variable tstep equal (--5+6)/${vx}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1262.04381337859/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1262.04381337859/366.666666666667/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 3.59551014725462e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 5.94274138543725e-07
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ 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
97
+ create_grid 366.666666666667 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
98
+ create_grid 366.666666666667 333.333333333333 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
99
+ Created 528090 child grid cells
100
+ CPU time = 0.438238 secs
101
+ create/ghost percent = 0.664227 99.3358
102
+ balance_grid rcb cell
103
+ Balance grid migrated 527129 cells
104
+ CPU time = 0.474505 secs
105
+ reassign/sort/migrate/ghost percent = 15.4365 0.0291755 5.94958 78.5847
106
+ species gas.species Ar
107
+ mixture air Ar frac 1.0
108
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
109
+ mixture air Ar vstream 1262.04381337859 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1262.04381337859 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1262.04381337859 0 0.0 temp 273
112
+ collide vss air gas.vhs
113
+ collide_modify vremax 100 yes remain no nearcp yes 10
114
+ read_surf cylinder.surf
115
+ 200 lines
116
+ -0.5 0.5 xlo xhi
117
+ -0.5 0.5 ylo yhi
118
+ 0 0 zlo zhi
119
+ 0.0157073 min line length
120
+ 1068 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 471864 55158 1068 = cells outside/inside/overlapping surfs
122
+ 1068 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.46901 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 5.22129 18.5111 0.806184 22.7715 52.69 1.49522 0.033191
126
+ surf2grid time = 0.1068 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 12.8883 8.51675 5.17359 0.443394 32.6715 4.27277
128
+ surf_collide 1 diffuse 273.0 1.0
129
+ surf_modify all collide 1
130
+ fix in emit/face air xlo ylo yhi
131
+ balance_grid rcb cell
132
+ Balance grid migrated 4498 cells
133
+ CPU time = 0.256989 secs
134
+ reassign/sort/migrate/ghost percent = 2.07603 0.0249194 3.61172 94.2873
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 3640487 versus 3640491 (../create_particles.cpp:346)
137
+ Created 3640487 particles
138
+ CPU time = 0.0578612 secs
139
+ stats 10000
140
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
141
+ run 200000
142
+ Memory usage per proc in Mbytes:
143
+ particles (ave,min,max) = 3.82324 0 13.5
144
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 22.0691 9.59689 43.2844
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 3640487 0 0 0 0 0
149
+ 10000 123.37903 3689727 174592 146773 33 3646763.6 39.7869
150
+ 20000 320.77974 3945721 201034 171257 39 3745067.4 40.12735
151
+ 30000 554.48199 3997600 205794 175602 41 3822858.9 40.296433
152
+ 40000 790.34661 4009706 206664 176081 33 3868312.2 40.466275
153
+ 50000 1028.2225 4011250 206617 176418 40 3896710.1 40.54406
154
+ 60000 1265.2088 4010106 206457 176321 37 3915581.7 40.611933
155
+ 70000 1504.0632 4011556 205948 175804 37 3929241.9 40.656643
156
+ 80000 1741.211 4010488 206567 176295 57 3939553.7 40.694988
157
+ 90000 1977.8416 4012266 206494 176274 47 3947505.5 40.729489
158
+ 100000 2214.6052 4013737 206635 176532 52 3954115.8 40.75256
159
+ 110000 2453.5187 4013116 207008 176296 28 3959500.9 40.776891
160
+ 120000 2690.8077 4011894 206577 176265 48 3963966.4 40.789
161
+ 130000 2928.9007 4010722 206423 176332 47 3967649.4 40.805723
162
+ 140000 3165.5318 4009657 206786 176755 40 3970665.5 40.822421
163
+ 150000 3404.165 4011870 206132 176090 47 3973417.2 40.82938
164
+ 160000 3641.1809 4012560 206525 176407 47 3975904 40.832131
165
+ 170000 3878.7829 4011677 206495 176413 40 3978073.1 40.8439
166
+ 180000 4116.5919 4012925 207006 176742 42 3979971.8 40.858628
167
+ 190000 4353.6332 4011422 206798 176376 36 3981698.7 40.862342
168
+ 200000 4590.5807 4013770 206272 176123 34 3983205.9 40.862985
169
+ Loop time of 4590.59 on 128 procs for 200000 steps with 4013770 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.033505 | 141.45 | 775.68 |1376.4 | 3.08
175
+ Coll | 2.6076 | 313.92 | 3000 |2935.1 | 6.84
176
+ Sort | 1.4625 | 100.17 | 500.47 |1236.2 | 2.18
177
+ Comm | 151.64 | 196.06 | 217.08 | 107.7 | 4.27
178
+ Modify | 0.03653 | 0.71304 | 10.932 | 189.3 | 0.02
179
+ Output | 0.020796 | 0.28191 | 0.31838 | 10.3 | 0.01
180
+ Other | | 3838 | | | 83.61
181
+
182
+ Particle moves = 796641183080 (797B)
183
+ Cells touched = 833270196113 (833B)
184
+ Particle comms = 573975007 (574M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 57913958 (57.9M)
187
+ SurfColl checks = 362305053 (362M)
188
+ SurfColl occurs = 8172597 (8.17M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 48034644364 (48B)
191
+ Collide occurs = 36130522962 (36.1B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.35576e+06
197
+ Particle-moves/step: 3.98321e+06
198
+ Cell-touches/particle/step: 1.04598
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.000720494
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 7.26977e-05
203
+ Surface-checks/particle/step: 0.000454791
204
+ Surface-collisions/particle/step: 1.02588e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0602965
207
+ Collisions/particle/step: 0.0453536
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 31357.6 ave 208202 max 0 min
211
+ Histogram: 84 14 4 10 6 6 0 0 0 4
212
+ Cells: 4125.7 ave 4126 max 4125 min
213
+ Histogram: 38 0 0 0 0 0 0 0 0 90
214
+ GhostCell: 105920 ave 194636 max 5730 min
215
+ Histogram: 24 7 11 10 18 2 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 4.40332 0 21.9375
246
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 24.0344 10.982 44.6695
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 4013770 206272 176123 0 0 0
251
+ 210000 366.96911 4010783 206255 176196 41 4012885.3 41.0227
252
+ 220000 734.04094 4010343 206825 176781 41 4011797.3 40.9841
253
+ 230000 1101.1046 4009415 205674 175470 28 4011608.5 40.943633
254
+ 240000 1469.0772 4010755 206307 175884 42 4011380.1 40.910425
255
+ 250000 1836.0622 4013850 206983 176468 44 4011677.3 40.90038
256
+ 260000 2204.3171 4011143 206109 176072 35 4011801.2 40.900317
257
+ 270000 2571.461 4012448 206572 176192 29 4011755.8 40.907314
258
+ 280000 2938.4774 4011843 206762 176408 35 4011796.7 40.920675
259
+ 290000 3306.6757 4010045 206130 176260 42 4011783.4 40.921844
260
+ 300000 3673.9935 4012665 207068 176759 44 4011877.5 40.91986
261
+ Loop time of 3673.99 on 128 procs for 100000 steps with 4012665 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.032882 | 72.451 | 398.69 | 961.4 | 1.97
267
+ Coll | 1.4519 | 172.19 | 1798 |2202.3 | 4.69
268
+ Sort | 5.723 | 60.976 | 286.98 | 872.4 | 1.66
269
+ Comm | 88.006 | 113.11 | 124.59 | 77.0 | 3.08
270
+ Modify | 32.293 | 194.27 | 1011.1 |1599.3 | 5.29
271
+ Output | 0.20731 | 0.23336 | 0.24952 | 3.6 | 0.01
272
+ Other | | 3061 | | | 83.31
273
+
274
+ Particle moves = 401187745645 (401B)
275
+ Cells touched = 419594142305 (420B)
276
+ Particle comms = 288279964 (288M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 29145253 (29.1M)
279
+ SurfColl checks = 181882896 (182M)
280
+ SurfColl occurs = 4091986 (4.09M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 24497746355 (24.5B)
283
+ Collide occurs = 18415748907 (18.4B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 853099
289
+ Particle-moves/step: 4.01188e+06
290
+ Cell-touches/particle/step: 1.04588
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.000718566
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 7.26474e-05
295
+ Surface-checks/particle/step: 0.000453361
296
+ Surface-collisions/particle/step: 1.01997e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.061063
299
+ Collisions/particle/step: 0.0459031
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 31348.9 ave 207712 max 0 min
303
+ Histogram: 84 14 4 10 6 6 0 0 0 4
304
+ Cells: 4125.7 ave 4126 max 4125 min
305
+ Histogram: 38 0 0 0 0 0 0 0 0 90
306
+ GhostCell: 105920 ave 194636 max 5730 min
307
+ Histogram: 24 7 11 10 18 2 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 528090
316
+ CPU time = 0.0676032 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00479795 secs
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/mir.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ dimension 2
2
+ create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
3
+ read_grid grid/final-grid.dat
CylinderKnMa/Kn0p12/simulation0172_Kn0p12Ma4p1/output/surf.300000.dat ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ITEM: TIMESTEP
2
+ 300000
3
+ ITEM: NUMBER OF SURFS
4
+ 200
5
+ ITEM: BOX BOUNDS oo oo pp
6
+ -5 6
7
+ -5 5
8
+ -0.5 0.5
9
+ 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]
10
+ 1 0.5 0 0.49975 -0.015705 0.01829 0.89307 -0.89296 0.014028 0.00011103 0.007068 -0.014024 0.00033136 47.051 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.32569 16.514 10.325 -12.888 1.383 1.108 0.1839 -0.18503 1455.5 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.01869 0.91697 -0.91595 0.043195 -0.00037477 -0.007947 -0.014393 0.00055366 47.134 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.31158 15.761 9.4631 -12.604 1.4476 1.0869 0.17138 -0.1809 1382.6 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.01788 0.8907 -0.88795 0.069883 -0.00080761 -0.010262 -0.01396 0.00093649 50.499 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.29502 14.886 8.5596 -12.179 1.4866 1.0448 0.1578 -0.17489 1322.5 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.01834 0.90804 -0.90255 0.099643 -0.0020421 -0.018498 -0.014209 0.0012746 52.693 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.27937 14.103 7.743 -11.788 1.436 0.94329 0.14418 -0.17033 1232.5 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.01839 0.89041 -0.88153 0.12546 -0.003978 -0.027951 -0.013909 0.0015316 48.573 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.26201 13.256 6.9262 -11.303 1.4094 0.86371 0.13093 -0.16397 1160.7 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.01687 0.83069 -0.81832 0.14282 -0.0060459 -0.034642 -0.012949 0.0016992 49.898 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.24796 12.552 6.2191 -10.903 1.4888 0.8492 0.12107 -0.15792 1135 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.01685 0.82592 -0.80876 0.16749 -0.0077043 -0.037203 -0.012824 0.0020464 45.86 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.23296 11.802 5.5224 -10.43 1.3692 0.72494 0.10825 -0.15244 1088.7 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.01695 0.83335 -0.81033 0.19454 -0.0086543 -0.036048 -0.012864 0.0024895 42.011 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.21673 11.004 4.8409 -9.8815 1.475 0.72262 0.099206 -0.14386 992.43 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.01684 0.81051 -0.78178 0.21387 -0.0039595 -0.014474 -0.012342 0.003132 41.344 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.20446 10.352 4.2599 -9.4347 1.3301 0.60057 0.087804 -0.13876 946.17 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.01662 0.80556 -0.76995 0.23687 -0.0098544 -0.032032 -0.012249 0.0032174 40.52 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.1921 9.7552 3.7331 -9.0126 1.3707 0.56777 0.080168 -0.13265 884.94 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.01614 0.78738 -0.74493 0.25505 -0.0060408 -0.017644 -0.011796 0.0037289 43.323 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.18159 9.2117 3.2561 -8.617 1.3609 0.51426 0.072522 -0.12727 868.72 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.01561 0.76358 -0.71429 0.26991 -0.005044 -0.013349 -0.011299 0.0040298 40.717 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.1696 8.5396 2.7661 -8.0792 1.3142 0.44994 0.064091 -0.11984 783.44 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.0148 0.71686 -0.66229 0.27433 -0.0036844 -0.0088949 -0.010461 0.0041693 47.094 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.15813 7.9589 2.3402 -7.607 1.3067 0.40198 0.057283 -0.11317 719.69 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.01367 0.67294 -0.61332 0.27692 -0.0029178 -0.0064622 -0.0096795 0.0042482 37.947 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.14576 7.3561 1.9411 -7.0953 1.2849 0.35152 0.050672 -0.10593 670.39 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.01278 0.6191 -0.55597 0.27236 0.0067782 0.013836 -0.0086263 0.0044954 38.347 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.13431 6.8105 1.5899 -6.6224 1.1798 0.28324 0.043504 -0.099571 620.66 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.01212 0.5829 -0.51515 0.27276 0.0094501 0.017848 -0.0079432 0.0045646 39.512 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.12679 6.3741 1.2926 -6.2416 1.1922 0.24689 0.039029 -0.094161 620.15 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.01164 0.55619 -0.48312 0.27557 0.0097473 0.017089 -0.0074354 0.0045969 36.42 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.11611 5.8856 1.0119 -5.7979 1.1188 0.19526 0.033468 -0.088003 553.27 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.01145 0.55388 -0.47226 0.2894 0.024687 0.040285 -0.0070301 0.0051785 35.899 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.10835 5.4455 0.76728 -5.3912 1.0913 0.15532 0.029194 -0.082242 504.12 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.0104 0.48681 -0.40688 0.26727 0.023518 0.035802 -0.0060216 0.0047605 40.658 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.09748 4.9288 0.54086 -4.899 1.0372 0.11451 0.024787 -0.075152 459.42 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.0102 0.48014 -0.39283 0.27608 0.038925 0.055385 -0.0055589 0.0052065 39.541 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.09271 4.6842 0.36752 -4.6697 1.045 0.082241 0.022186 -0.072057 450.35 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00947 0.44491 -0.35579 0.26713 0.04632 0.061692 -0.0048609 0.0051649 37.021 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.08534 4.2705 0.20117 -4.2658 0.95904 0.045227 0.018224 -0.066294 397.68 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00873 0.40535 -0.31635 0.25344 0.058191 0.072635 -0.0040549 0.0051218 38.831 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.07631 3.8194 0.059993 -3.819 0.92216 0.014486 0.015427 -0.059758 362.23 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.00891 0.41581 -0.31618 0.27005 0.079645 0.093252 -0.0037154 0.0057064 38.46 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.07136 3.6122 -0.056737 -3.6117 0.86408 -0.013574 0.012681 -0.056944 359.79 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.00839 0.39318 -0.29081 0.26462 0.08369 0.091974 -0.0032533 0.0056011 35.544 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.06628 3.3321 -0.15696 -3.3284 0.86304 -0.0407 0.011091 -0.052919 343.6 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.00783 0.37087 -0.26633 0.2581 0.093619 0.096607 -0.0027129 0.0055714 37.912 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.05892 2.9523 -0.23163 -2.9432 0.77704 -0.061155 0.0085669 -0.04719 295.14 0 0
60
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