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.gitattributes

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AQAAAACAAABABgAALgUAAA==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AQAAAACAAABABgAAfgUAAA==eJwtVHk0llkctssUlUiyEzJGn33pw/1J6UPaTCqkDDOJEk45Egmp1MmI4iQ+Z6KkUDmTOkbutZR1iiiMim+xRYls0zLmXdx/3nPf+7vP+zzP73l/Ma+kB/W8+ShD118yJbYCueQ3ZhaG1aLOJLV42UPNyGCuzyP6cBuqmfcpDzLoRMelchZp8F8jrqTXGcVtPSjh3A3Ib3yLam4XboUVfehzmvexNdkCNGy+P+B0vBC5DtlEp74XIo+AvCCYEaH8SAHwVoqRdtEwb928GClZNjXu7RYjHo7Xsj8oRpcDVY8Ga4tRU3R1/mqOGKk3p0ar7hShTYq3AufOC1FrAl0pQFfe2VXPtPajgJCyDp5nP5LvMI/buEWAKmcjmiKLBKjJcVJe+oUIhU2YSDyzGkSBlrvMfyweQRJlwQ1uuh9QHPPiEzr9CJKEDZML59Moszhph3veHKpVM/KWLfiCbMbtN22O+g/JJV51vTgmCRfSxJM6L6UhsuRib4iEHBRkrJf0klEAvwd4jF+1GBY/vHWiwWQpbOr+NOWhvhymvnfGjAwqw6qrnQohQhXIKl8SWeKpBkeVk0nzH+qgn3Y8UsNLEywHywzFyTrwKmbEyGJYF/aqPWqXqNaH/Lul3fsrDGCPw5+N0dWGwFxLMYaca9TqMQGa1uEiU9h+KTtcWXodvF1DMa3jwKISTd9gDQuIRzYBlU0W8KnomaediRWo9Tyf9Za2hlSXAwNtSTZsfYEtLJEyPbeyxw6oavcl+g4w9LV44uUHB/D/vXZ6rSYXvlFbL31H2PlYO2V0wpHlMeAEM2upClUEGhwKKRAt3AcW1wCAgU0DqJumCpMAfJTMyvMwsHxSAazolQlAw+4IAfhyKrTqmBVAbr3u/ajbCIwtKCU5zqyev5yAhpcKcwT6c4k2XPgYRwt0AFp+cr8di8+xhVvXKYCd1mDQ+++pUE1L9vmNA4yN+03hBGXzohIjqMpKXxr7Wg9WTLq8+O2qOhA/XZcJkdJCf6YW8j6F7edqg+/0K5H1GS0JvAR10p+7/OaTGj1C0+LmGxHRTeqDEaaElvt8lkMYfqqWhOm/mzWhZfjK2JLMVTI+Sh/sCKP3sQNhfFDgEoZfnCOh7fa/58TitTkTxv9cRBg9+kBOqpRtFvgCOUI3KAMI6xMQ2hbTooXzSiC0K+65QJx+6CqI2AeEyYsCEKZfuxChYyB66szW/eRMsqgYDWk4kQ6vX5btUXckNJ0qay7ZSm0dphzY8157Eszt23Zp1o7o3Y8KuVxqy+L8akN4gliVsoPWxIMO0owlq3eNJaHbMS5vQWToxmiZE3pb5GZG2D6ZEia/xiaEyWWQMWFyVGNI+OOUMV0GJMx0Jvuttz7xogeLWJcEeDbKO13XJrvogSOhSVr3US++qxMjcTL/71A1MqRFDxZV0ly3ofQQX5kw/4XrcqLBDzBpSVci389N9XYlLiaUiuzwDAVy7KHq15ZwWRJuTU8CaTJffnLy/nZJcnt3s2X9g3nsVvGZ6uBX7MsKx+x8m8LvpBQu6ARN4hFTntVKr3F8oPG9zwv3j7ivzrAh7+UI7gjlvQkaGcT2ZjHtu9MHcEGr3LVgsQAbn69cCqFCPJp+XSAXJ8CumqNC29UCPO/XlHYJBDhSQ7HfLF2Iy92cNhZwRdhkeCbjWYgIF2jfaNeqF+HNJU+LJFYN4CfFvJQHKWI8RhwMPE4OYH/7ZRmyW8TYb/TimYpcEbarU5z7Zi7E1inPw8aUhbi9ZW2Wn68A6wZ0cboV+/CRUo7yP1FvcLnnz0cVD/fgwgg6Ka/xvQ3N2+7Ed+IWs9Kz9U5t2MhWp+vshSZ8IzbswF2ZOlw5naOtcqUCF+5IzDzSz8f/A9jB/w4=AQAAAACAAABABgAA9gUAAA==eJwtlHk8lWkUx+/lrsnaQmOpiZqxVGRaSM7TVZYkFJJKUqLbhlBhki2lSFwtxhZFdiUlyTMle4OyDdlGxjK2a7vWy7xu/fs+73M+53x/3/P4egdHauwYL3R4LhyzIGqGq5OuaYlJW2C586d1NeZc8GhX192cGTfMbe0OifhwB/+5jrTAUfHFmy+I99ww9sd6JYkWH5YFYx9j0ryyZTh2NT10We3VYxyUNDDun/8QW7aFOttww7FHu4YOL+cm9plvSDGZdAdV3fGINVIBuLpJ0ayOYgASOw72FpTEgmWhoxJL8SFIlph+a5vLBKGm/tbVw89BtMjgI8cwH54aKffywgvBO68r76D2R3gUm/1RuKIE3g6yLsXoV0BVewCLIlcFanVR3fLJX0BpzynrYtl6sDKcNso1rYcp53KXZLdmkC7oVTXUbIG9tjEnEa8NdHub0meOdkLIsQTPs3adwI8r8r5K7gILbeuFHvVu8JxrS4LZHhjzCKj1kx6A2C/vZyBoEBLsozEzcAiiGLKxtsojIOqSfvur0wiw21yCQ7tGwWbiTXMwfwyGt+8xcJ2eAOnXn0ltQpOgoh1e6WM4BdWn63vYqjNwdM2ukZOfZsF1WrzvddYc+LAL3CJk5iF3xWzlUPk8EB+Fe+6Q0LF5vZnBs2RkFvLggpQ/Ga2iWIlteCGMHqnIRNYxKWiLbb7RUj9hdMXzqZpeNAUlLdFf5+5H/fE/DX2QXn+QqkhHHRvC4qc06Ehyq867A/fpyMNUYSXbhInyiW4dLjPQ4RvbG4oHGag0Py+E5sxAHYVi0Zprmeia/HbH3X0M5HRv0BtyGagbnrQXhjJQgKhpFseBjmhSy6HkKB01HScq3qci87NRl6PX0tA55nS8oyYVCeYxoqCXhxfBCKPfa3IOT2gJoZZG30v6HDISjE0hIZOx0INuSny4GWhTW/BtBo616AtfEZmEntmUkS8mPBguL2JlnBmBi9zAcov3XHBcxMgbgF/FRXKTrnbDPXHPrWm6naDmsKrTWrod9nr5b9qX1ABWcWkZfx+vAdrEhkv5ahUQE9e5nct+A73N0jUilzNBLd7MdLXvXfBzvcK5w9mNjyQ579+6yRpE6uy56oN/QMeotebmsgyIT7qfMbEnH3Q0+ovN9pdBRImTvKVJDXDUa3lZ6Q1gJ/R6qDulDWydMmsNjb8Bny0m8elzF8xHpZuLfx4AliB4LmS7LpIcAVXeg9aIoAl4E0LjrjScBCJFIdWgGUgnuvUw5UOp8qIwC/BqjF935QwJWbgpPViQEEI5XqPZZv1C6LtHFCQYcwkVfZ2+RqCkoRMWB36Jv0X/wZ2Oik6l2lkcYKA8hcB+8zwGas0N8K7JoSOF5F7DjT5MJNBJnomsn235a0cVAxkIhGQgokj2P3109CJmOLnEmIGOPMcDsQV0JMC7jY44QURQOnSUpnuIOKIhQd/VFOTRES359B0FBRO3IzdTkCCuZxTkfWKzpXqqECKWplKilPB5TuZSoxQZzWo7V938QkJzizHbL8ARIv3l8vNAyEkYwQffSL3b53pmoNbEXsJaaxoUBcFOw6JeOf/xINTdRVa0YwK0XpZ5FMaNg9bi2omPQtUq82ZZgnMiuYAqtZwLWTaPuMb8IVhPZrObbPpBUN6tD55sdXHFen2guKJkpZ9cD0Sfv7DP1LoLFMfKVi/V6YT04mSSTHUHuGq2XK8WbwdWZNTOmiXNEJM/ejiW/hWMNi78zOc1As9zstSrvg6+71Ut2On435hn1kBM4M5BbuMnoHS68/1ay+Adaba3LrII/MLUCGUKoTHReeeSxrcQ/9OmViVaLmTWK/BY5DR4sq3F4IJJAqx8kZIi2+YHMrtOrjffdBOY6VbUoTNyYP/W6/pQ5S28N9BxiprqjtuLZ11m/43ATbYinheXPsbdESuK6slhOCMxlZkwFIEnOdHLvJzu4lQj7o3fVMKw83E6gSgY+75cIDekhuAni20kXsfnBA+JN86KYrGGe9lYluNpJym6D1fk8Ed8ilTx/yseDUg=AQAAAACAAABABgAAAwYAAA==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AQAAAACAAABABgAAgQMAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p10/simulation0135_Kn0p10Ma5p4/Grid.pvd

@@ -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="Grid/Grid_300000.pvtu"/>
+   </Collection>    
+</VTKFile>    

CylinderKnMa/Kn0p10/simulation0135_Kn0p10Ma5p4/Lambda.pvd

@@ -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="Lambda/Lambda_300000.pvtu"/>
+   </Collection>    
+</VTKFile>    

CylinderKnMa/Kn0p10/simulation0135_Kn0p10Ma5p4/Lambda/Lambda_300000.pvtu

@@ -0,0 +1,37 @@
+<?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"/>
+<Piece Source="Lambda_12_300000.vtu"/>
+<Piece Source="Lambda_13_300000.vtu"/>
+<Piece Source="Lambda_14_300000.vtu"/>
+<Piece Source="Lambda_15_300000.vtu"/>
+<Piece Source="Lambda_16_300000.vtu"/>
+<Piece Source="Lambda_17_300000.vtu"/>
+<Piece Source="Lambda_18_300000.vtu"/>
+<Piece Source="Lambda_19_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p10/simulation0135_Kn0p10Ma5p4/Surf.pvd

@@ -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/Kn0p10/simulation0135_Kn0p10Ma5p4/config.txt

@@ -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 0.1
+variable   Ma equal 5.4
+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/Kn0p10/simulation0135_Kn0p10Ma5p4/cylinder.surf

@@ -0,0 +1,410 @@
+ surf file from Pointwise
+ 
+         200 points
+         200 lines
+ 
+ Points
+ 
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CylinderKnMa/Kn0p10/simulation0135_Kn0p10Ma5p4/gas.species

@@ -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/Kn0p10/simulation0135_Kn0p10Ma5p4/gas.vhs

@@ -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/Kn0p10/simulation0135_Kn0p10Ma5p4/grid/Grid_300000.pvtu

@@ -0,0 +1,45 @@
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+<PDataArray type="Float64" Name="f_1[10]"/>
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