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CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/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/Kn0p40/simulation0889_Kn0p40Ma5p8/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/Kn0p40/simulation0889_Kn0p40Ma5p8/Lambda/Lambda_1_300000.vtu

@@ -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="1111"                 NumberOfCells="1000"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="101"                  RangeMax="11000"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.05"                 RangeMax="5.95"                 offset="2240"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.95"                RangeMax="4.95"                 offset="2388"                />
+        <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.022736"             RangeMax="0.10247"              offset="2928"                />
+        <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.22736"              RangeMax="1.0247"               offset="12464"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5"                    RangeMax="7.8102496759"         offset="20724"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="24276"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="30708"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="32556"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
+  <AppendedData encoding="base64">
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AQAAAACAAABAHwAAIBgAAA==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AQAAAACAAAAUNAAAVgoAAA==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+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/Lambda/Lambda_300000.pvtu

@@ -0,0 +1,19 @@
+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/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/Kn0p40/simulation0889_Kn0p40Ma5p8/cylinder.surf

@@ -0,0 +1,410 @@
+ surf file from Pointwise
+ 
+         200 points
+         200 lines
+ 
+ Points
+ 
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CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/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/Kn0p40/simulation0889_Kn0p40Ma5p8/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/Kn0p40/simulation0889_Kn0p40Ma5p8/grid/Grid_1_300000.vtu

@@ -0,0 +1,35 @@
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AQAAAACAAABAHwAAxxwAAA==eJxFd3k41e/z/tlsxznOsWuXFCJJm0rCM6S0CEmhKCQibUiWY6kUFVKUJZU3kkqiFJVKURHaLFHaVcpZOfbffK/Pdf36a655XjNz3zPP8pqxjGm9zGaOENfVikztpyMkTGl50FrmGIkQihRmXKLAqm/3ZY+H0SCLuXjBfi0ZyLgY/ll2hTwUxko0wuMUwVO8aXLmNCXoKQqxCe3mQDLz08AN5zHieU1m9oKPFKj32rEl7SMN7HQ7inbdl4FVQ1Ni8lQVIKPV1mtsEQsY7sSXXawEn6d+TDiqxQVWexVzdigXIu43qN09jPKAz8jprXTo3tvyMs9NFpxvZITaPVAA8Dnf+qGVBcWSK/XCWRyYuS5ql5ItF8Z78z6PpnBB22VSQkQ2F7xBNcgnjgtiw46goA1cMIt4HRWzggnVX3rlPm5lQ5r9scHVWRyod29xMN3OhV8a3Un5uVyosU2m/83hQsmGA3GV0VywHamY986aC0lxw1lXRjmQ5dW8PNWbA2HhjjqkmQNdc9zeGYdxwW6jXaZuERc2q36/G5TJBZXSp+Uh+7iw9bJoIHsZFwov/vF2FXNgZ5fKSIMLB/IKoqtnVGL9+t35r/SVwLt4i+vSKi4spl+pqL7CBX/ascmhe7jQan+wbLEFF+rYQptrAg6I+br3FZdxwDvunlLbaSWAIyW+q+hKwFL+qRkQyAbXxdM2v//Jgjfikdj4EC680yqcaT+XCxX+fz/otnOAV03JbNHjwMSgGzrHQpRAmrHce9FbNhTO5+ycTNhQTxs6s7AO92c3OH6yYgFvn+fvmluK4Hy5YJbSfQ6kqf635KlACSIOZjRNcVQCh/KvLQ232MDbvc+3V4UN+kVL5vw9zgIH2otYg35FiE+/rcfZqghp+5NeSWqZUG8+cHqNERNMHq5/HGapBPMiPNV/l+J+BEhGjYUsKBnoHMtzRPwLVyLnNCmCHzd8/7G5iuBureZ2OYsJzvnGW5aMKYC0eL9iLU8BcpPGvdRQVgCxzIyij2+Qb7P1vZOzWdCxtjb8R4YimPjbD7lyFEHXYPaH1GgmGGncXRP2WwFc3/TeTPVXgJLappV1vfJQZlCRlhgqDyW8R5c1++WgQvAqIT1KEcouUPJfdTNBv+wVo3wbE7JSo4IMHylAdc5g/r1pCqCdXbFn5g15KDawCfOaLQ+eRjdPTb8pBwkVfu31ZnJg1GYdc6JOFt58PNp1dQhxZ6lWWa1XAOf+169LG+RBm2p76rsb+o+feMbskxx4zw99u8hBDvQfrvdY1ykLDu3OF1T9ZWH4d1jsO5EMTFQzTko/LAPOC7w/GRbJQ0aQ859zRvJQ11y9l50jB/vM5T2iVeRg4mXJxF+XZcEyeZ/1oqWyUD2woHeoVgYox/ltKq4y4GmamN00yIA3qRo9zrkMUOMnXwjeJAdJD40mfnqL9y068VGAO/J2Y+xR7ZKBpKJD+bwAGWj94/hjRh8DGE4+kHqMAZ6LFvQ8NGJARmxsmn4rHRJCTUntETo48PVfzfolA3V+F6A3XAb8nt9o1GGiVCuWFOYzwE50YXGbDQNYMzzuWnXTIaJ28p+Fx+lQvbqu224xHRh3P/yc1kaDeYfSNwXF0aDVNqT3bRcDsrbk7JPfz4AO1u+N61UZYGSgfuNBMR0yBAcaBNZ08HQpD2j4gO/Opgld/mk00E1rpxMrGsR3rXuwboAKVWTO1r+lVJDPn1ZsVEOHeRnRsje30KEw4OGGiaM0cA1+u6ItD/19DklDnWlQ76d27ZAyDfzqn3NKH1Mhd3ZR6ZpIKngrWM+Un0+FVm5RcGcvBXqmp9idraVBGKVl6Z5gGlhG//cubjwNKLyuhQfQLyM9jjccSAVnX4vHUZOoIF2e4F7bRIE3me3hbxMpUHHE6cV8FwrE76wLnaFBgSSukVx9I+IkTuVoRFAhySfZZosRFdTKTdU0BGg30mThcYUCDnWlfE0PxK8oXbsF/TLSs1X7L42R1rhw2XuTx0gTVV/m0MlR4ry78H1iJwW07vetn3mCAvvs8yRFNhRIzvxZ3f1zjASf79By3zBGuBN4OU/Eo0TqEaLdcXiUJPPiYnYKRoi845Thjp0jRPvSpKevVEeIllPrgdAfY0Q+8NCSjT5jxOxXfBX12yhx+PPszHqvUWKScfb7uK9o93A4cHD7CCk8m5XU/meYuBoOHizNHCYOhke2JDgNE7+IQwZRg0Okwmn5jppdoySBxl/hwB8h+peSPw+7oR/L6eSD72gnGpRExQyT4MoEp6lThkkY1/Pah8dDxHPQVN82YIhUq8T/7ZYdIg5PZwweuj9IpAvz6xxfDhP9RjOY4z5MtGq6hY2Kw6TJaGTq3v8Qb9j8Qp7FEKHoT7rP/jBIMpZVy6YkDBL5qvgZsGWQmCxtcv6gi3GM1/Pf1A4QrdV7ZzTGDxHelw26J6Yi7tp037baQcJzXOuxIWmQNF08f3mW9SDhxqvEfx8eIPxpYZXZDwZItXZ74gv/ARLWUlDEnT1AKrb0R4wfkxLuYq3Nnp6DpOuyyZy9jEFSffFOcNuNAfK/92GAaC8ydAySHSCFQ3HTmDVSogU6a9ZFSYndrdu3epZKSXDNqs8XmFLimTYWOfK7n3RXVpRlWgyQZPf6HXuEUuLA+PqoogT9uMOu37ykpHpDjwzbUEpy+9ctrfnTTyipsd37mvpJQgL1ekRRP7Fc1tjwMKif6DdFLQs3xPVxzJCby5Bnx9bla0f6SfKpD19ulvYTzw8Dl+IS+omrdFzsyTVoF2/9zXNiP+lSPePW3tdHePGNdQve9BG/d3+NQsr6COWLnkdPDkruJfr2o8jz7rdd6537SXXfSv8Zuv2ksFK7eeVIHzG79LPZqbmPFC6y6jG/1Uf401OGjA70kYzAmEJn6z7iWetoPG0yxteqUSPsPqL98LOl3mmUlL1rcnfjut6fvgA3lKt+KVw36CNcic6IxdQ+UiL8b/stmT6iL5dyp/K3hFTo8K6bdEhIMG/m06flEpJx4oHgYKyElLSqBPL6JSTh7Y+Nrb8kpPvzS7mgpxKifx4av5Si38DjV83REsIL1Hd6t0NC+JNU/STuEmK3uOT9UQsJ0V6n9VjTEuM+1+1Z5Yh+Rdd+8PegXciC4LzlGLdv+qWxmRKS3NDx+bkG2tO3vN6vjvhzOqfcUJAQrm3d7lu9YuLKnhC07auYFH5ceX75JzHRT3Kfdv6dmFA0DrJVmsWE1zEl6fwbMZEPP7hS+lhMTN4981lbKSa5A/6RTgVikuyyXeP5STGpu9aRu/GomJhd5f03Htel6vKCHwliwt+2pmZLgJiUzNMZZBwW47n+3tG84996ayNl2tuN6Gd4oZrlKSYZO69tU3JFfKO1FkbrkM+Qk7ufFeoqVaTPGvlGqBQYrUX/oIqOnYbIy93gcL6emCTIL2GOTkResZISR20x0Vbft3ifHPI1NM77rIky52t+LRf9tMd6nlMQx+NQzDcF5JmTqvuDKiaecSYqds9ExEHNKXfmSxFpqvbWjX0swnvHnNRRLCJ85XfMi6UiYua7h+F/TUTs7GQP7LwoIvJjtmXvUU++NT/QH+0KNTzGHb0gIsH2c5LUrouI1tWyuXsOiwh39tTh9YdEJOM7p/xrLMbzH1BZl416QXRBQL6I6Md/OLn9LvqNhGbtiReRMK+wNtdQEek27Ou+GiYi2pf9DvMsRYR35dsEBXfksWGFjpUn8r0d/HLLehFJyJrtwnRB/PBfi2xWIT+Z2xdaFuK6n4JXziIRoaQfudo2C/Mamu/3URl5VUxeFW0rIl0V9c9y0M5ktHRkO3739Pmwus8I+b6ymJnIQl1z+mZnGvpdjQhb+kNI/ve/+yeDd+56u6RXSLr1Fk5J/SUkJeXG5+o/C4mrsMz4x28hqUj61pb+UkjqFjttNM4XkiZl5tmBFPT3mhLfniMk1e8cJ9rdFBLKqbov985jnMSaZWtO4/fc6ylOB4WEe7LXse8C4njYilRQZtxJU/LPEJLka7fbTJOFhFea7D94HO1nDZwIikX8b6efTNwtJK0vZ304sQu/txyPXOouJIWZ+nE7k4Sk60GoVvIOIdFWWNip7YG8bO7tXuKL+Mo/R6+7or/FnYYXbiiZp1q3LEP8By5RtiZCkjt3R4S/IvLX+/BMVUVILBs2P51uIyRmJ9yyYrWFRJ6dve4+rifYSl+ZcDB+YM1IhxzivbVfUfRTQDLEPo613wUkoUbrr06dgGgd+fq+u0FAci1ep4W+EJAwRSuXaMTRl/k9e7Ym8t9tz6rpE5Bqh7LAyR8ERF5Lzv/FKwHpLqYd3f9WQEq0tyuEP0C/9UsiZDBOHe9EeUYZxqdfHsrMExCTTY+O9VTietuNe8vPo245O/nWVQGp6Dy2hpMtIMlKh01eFwsI9wLjrviUgAR/VvboS0Q8ts+Zo3sxvrKF3rrdyC+h4e7IdgHp2vwu4vJWASk8oCkZ9UL995Twmh1o119kNGGbgPAmPWsr8Ed860UK6jECImXd1vKPRfzdPq93+QqIA+dhSt16tCuP6G2cg/lEpB07Eon59A1fG0KcMFuVcx1RAkL5Gug6PwjtDZyTRjGuXcqsTcXOAuL6PbT5lBXWjbuL020rIHyf7YxeXQGxfNJl+ldfQLTnf7RY74H50RK8HAPQ7ra93CJ39Buf83QM17lhdp2nF2I8DzkfSzPEbbB8laWO0rL/TYwS8n7x2FxtkE+6fcQ/ajr4JCOSf+jpFvSbMv3t91WYt/ILpp4B7uPFPxkKxsjf+P25b44C4nnPWHnLLAExO9wpb89A3hsrb68R8knFaF36gk4+6WpoKN/TwCf8hpt/nyKPrmzfYzrLsC5bzQW2Wv/impgHPz03Bffhg+Op9hE+0Q+edr5DxCd1RxYxjn3HOJs0bx5/wyclvhd9vmK85MjIHVmaiJsbTI9RwTxL13XoTUe+M0/+EbFwfy+GR3z8xiet2aJAaR/KmUsDVEcxv7PjO00G+CTM/fvzPtR5YyHqLi+R39njA5uwvmGHLhasd8M4xUGvqFj3jKDaS9nKAuIX7ugiZmK+u/ZPvUdD/r2H/noh30IHN61cGbQb4l6owHz073eciJqMdchinvyC9c91LniSYv/vvFA26LqN3/4Pp+Rx/MLruJ8ZVbxTy8wxnuFmGQ/cpwot99Sdv/nEbHLK5L0v+IT7lNqwEM9f3dcJ75xxX1qnvHaUtUA+Jt9UYQaet2fbrd5iPXjtB2iqFKzjwpDMo91YLzez1S1s3Peme9un47lr3bzNM3o81ltz780N6/5J/k1tcfJa9PM0DesG5LPNIzEZ13n6c4VlM/FeaDVeOzMX89hhefqWDp6bm1dbfOXQvuZBRl4v7sdqDYtVRzHfFUuvxuM9ovzXubIqBf2sEhMlJ/GcHvzO8kvCunal1QYGY54VBbQwi3/n2O7WzMBejMu3f6NwRwP3kzPvmhDvaYaraE8cxqnTsn5RfRDjV4mu74j/dy/tnjit1cL70xRhLV+A9yYh5pnGCTxn2o/0zYO9sS4jxxdYzcP1SeZ9zaWY/xm7KXJPsL6GYHGjFvXeAL1b13HfHmW6niv+x1vq0649LhBldOCEtf+HG7S4unYj1ttbUaHEGs/XQmu2qQK+h6ved7h04X7PUnUZL8R7p2bcRsf3yfKLaf8yxHFw5O7wqEa8+O22noivP9/RLfo//O7lpGKK9z05Kd/+iQ+egxe0F9+34vs3yNPU2YDvscMBlsF8fH9N2TGGBojDtm/spP+T+tk5NhvwXWzSKv/x6zHmMS11ok491tt/uZ9zD+LmJehMOIDvvtg+cUIovtNrX5xQACFxcGk0PbBGSPiDxqet7PA/omIz+HexkEh/hzVaW6NuG9C7CfEz6Cfn8eeh3eaq8hHMK/lz58ucYnzPRdns4UP43+g5uyMJ/0+ed62Tjh5FvyXUltXpiKf08dA6/G5SvBiK9uE7bvW1a6/fv/9L3SvZXS6B+F9aQ19p8QX1KlML8z/4H3Q1pboMYr7KjQsZP3F96JF9+TPMc9pSMQ//j3VXFdxV8f9YqL+Hd+SUkGitUs1IjEa9vSL5G8bX3m+doqYr+v9Sq3PClkdq//7jFe05zxYNCIldXEvVMz7Ww/i4zWc62jm88ipgi0hrT/TFLkUR8Ts4PXOxRPj/+45qJbP3jR4iUjdOnSvnKyIlKso7091Q32OmdcsB5ViMevMG9P+kfuy1vYi4Ft6V91orIpbGlK2s/+tDwgLzqkxEJHdZftu9cvS/Fmf/vgT7kpQnS0dOYz8z6wlF8xLaf5UxP4z9kmtzyLcHV7AfcTvdaIp9UUVAQXLwCcSZW8hcug/zUy4Pdj2AfdfcwMvLX6Cu/cExphb7mG1+iYrvMY7pA0P9dszjBHt5dDP2L33f1WY9Qv2HyVrjKsR1nG8Sfwftdq9ddOGWiEgn3lzWhn0Xz6foQc5qMQley19vslRMLMtyuAumiolDxPljNOwj62pKmvdiv1j92jd9Dwf7x18voyjKYlKxy3dTEvadYdHPs4tUxaTrxtSDV2XEpCmA8v2vL+rb9dbrYb9bctyGVhaMfTan9Hn6LowXfuvKn53/+l6p9h4FiZ2Y2D04aBNogOvxNXWVK7G/nXQ2bJY92gsMw/6KkF+g9fjYNsQdT5s48ADjSlJ6Ei9jf6u+aW9dOvLyAntqhpj4XZAIH19FvoIKt5or2Hdnnq/fm4b9b/q+Oy+OIK/1Kn/1QyXEVbl9YTTODRVmzl0rcb5IfrTn+T0XCTFpT5gdsALnifKnkZN0cT6hs9edlsV5ZGbbQasx7NvDs75ajeB8kH0yaoYU4yv6r4z7KSHya153P36M88a1wbTPFRJSbVY7vC8PZcovhu5JnF/Ub9bZBmM8lQVz7ztLSFc4h7rTBucX/UbaF0PEHTdu6dfpEmLpydb8ee3fXNY9ffJH2hycv+5NC1WUw/ktmTqDI5EQs6I0bRt6H2m61eBQ+UdCWjduzhx/D3luvb/42WXM79WKmbJncD3PUPYH6SfaV5S4bHWcL19e11Om9hPu8sxbw219JCynN9/6HM6RV00dNF1xDnT6e3XyPNQPsNyuLOkjJn+C31+fjnbsHx8Vcb5rzebdlihLSZ1TruuEbziP+iipZ1zHuPHl1ETvftJ0dk3z9SX9ROtuzVvFCf2k7mbQ9UrEky5LVzne2EdyL4y/+yu/jzgoHTwTfbiP2M3pWaXgNEDMhPtlzb9LSdjr7i5xLs7PnyJZRYFS0tqcX+xlLCWuGjttP/3qJ62b5nR5FiDuyMOZ1SH9xCTWbCdtBc7LmUX1fyehbJ16rtUS53zds+t/SAcIf6v8M42sAeIX6zHXwHqAlARdtR4ng3iae8dFl0lJRXdMybgwKSmMV9qggPN+rmGYqQnO+9wTlzdcfYX5THqzbOWGIaK9ePRMGX+QSK2WZo3LGyQO3KnaLLdBkmyiK28hHCCF1qk1d6sGiJ3QbVlyyACx9Dk/3V5vgFBE0+LdWqSkuuxlS8slKZG6X3p/OmuYFC7XfT1x/jCxtJk31b95iCS4xJDsrUPEbKKM/iejIeLQdUdcWT9I5CPFWi9iB0nYx+kWdvaIP+13S60c4ta1TPK9M0D0mxSPhtqOEk/XbosNL0cIX0OylWo7gnP3bU5N0zDJmEFZd8Eb5bHjuz04w8SBPT9zwe0hUlggNLi3bohUyBXcuTE6SLRt/K4/LBkkflGGN5mNY8RTY2ex/Jox4rdwksqmd6OkdQ5t9ZjPKOH1q6iP6x4hub8vGARtHiGW222utwwNk6bvD5/Ipw8TeROloF3Ww6TuXmp9tHCItD7i85Y8oUCYqx71fTAF0jj1H67PooCr5K7t7SdjRKvQvIIJY4S771L+vo+jhHLCwc/FY5T4MS8GfPw9QiqE/zV0+o0Qh8gxLVvWCPGcl9e5pYwKntMPDi3wpULEfPLpLpsKdYt4at2VFLCLsrm2PYwCau+CPZbOoYDl6VPnMprGSFcH1/DMujFS0rZn6PHwKGnaZM+eFz5KwmJv6fBu06Di4h1m6RoaJKi86qwRUkFq2cl+l0MF88VLWfVAhTfSqlW5DCoY1eY2pSKOp3TMueogBfYdm0fX1aEAf8KR3dvuj5Gajplth4vp0HXAvGq6Gx26rZ6Pq5PSoMd7qotKHg3cD5xN/GNFg+rOEf9F36iw6tW7TXZZVGiqfKWubU+F4aCcrbOYVKhJWyE6+YwChWZBBX0vGDBvZ0te1BYGxKvbD9ApDGDM+JWtmUsHXorj1Ner6VDS+DCNJqDB/+Y9GpTp8IazZtIgT9PkypJ2KuS+O1x0PhXjy7AiWTRZsKs6WZ1+SAaKD2gWpqrKQEJ0ybvRSwzgKn0pNbZhwKphn4g/n+lAqSbHzI7RYefsQzmV8+ng98bu0s+PmMenb/ufhNNA19Buss4iOZhXMlC9sUwWvvJ+3CuykIWMuPVtQY9kwDkl18B/jQwUDnSejexlgH760yXFZxjwpoOr8t6cAckpZpv0PmC9nJdd/pxEBzOdzjlJ++RBl8l8OyiVg0It+iX1EDnw3B7fEkuVA/fWqT/gpCzkuU9neYyThZ3j40t/nJcBRuJK+vj5MtBVFGJU9Rrj6lhN3byXAWaL4gt6PihAWFT8RS9QAO+27XblD+XBvIfrqzdfHlyvTXFXKJWD5Mulai9N5cA7L0iJXikL/3sPZaG7xbvXU1YWKu7OfeJ6SQbUqJ7sGZGKUBOXNv5tBxN6Hibvbl/IBPNkatvFfAUwWfutskNDASomFv53KE0eggMM2oVT5IF7VjX4bqoc+Lm+VI4fkgXnTSeu65+QBbUN6cljj1mwajLD2VWfBa30Mi+LFEVwnXJv8hYBE7JKmkwjNzOBsth0OqtJAcxXl1KVzBVA+7Z9oOcDeUiYmx38c7U8MNatYtCbsV52/ZrbpiiBw+qMP5JINrxht74IamJB3sU/N2qsWeBcP3qr5rYiGD1Ra6dMUoR4w+K9EzKZ4Cc//MlRkwmF7Tbtn+MUoOtta2oBQwE6bOk9vlc58L97owR1j3Tff/JXguDFETc3PmID9/g2d286GyzfmXfn+rLg6yP+2b42ReBpRo0bXKoIwwVfrkvvMCGJF/eydRnmMfNy2fkILtSE9BtbzOICnyoOmVXCgaRnCwfU2RwIntvs7ZesBGn1Z86pD2B8DrHas5IN7owNqSFFLLD8lE+5NoMFJp+wLT+jCH2VKc/133MhK2Vy148qLpQG31HZj/HXeN3ZXTWfCw6hepzMGg5kHX656a0pB6qLO49nX8T43w1O28spQU/iOvOPXmxwGJoyz+wJC+qrvXf/VeaC36TgeINULqx68PcavZoL94ca1z8s5IJz5UWqSjgXSipl80JncqH79uF5kS84oDX/cPl0e4w/eCZyWYMSFEZMYjcuUYKywWnXYl4zYfjrpsjPHWygiEoaXIUcKPSdveLuIS64mM8+eOk6F5TcVsRXF3OBt42xQOUAF/bNUR7at5ALanJPPF9+5EBT4Nw7YS4cmDjrr9WRIjo40JWj9jyVhbSvcYoPTJkgfns/6qQtG/RZJcoTojlQFxe+OMiVCzq7PDQXnMN8iu7EwFku+O+3nOoewAWNiMGfylgf7oXJq3ufjZE3tiHm1rOpwDrtLGI60SG590+wmZUsmGUr1xUexXOwwUZpSjkLpHddhfljStB00zm225gL1U65QlEMF8SyH90Mj2K9dTu46VNHCE85n7O2b4RodWy9GuI5RuZpL5QE/KWAu0Xd8mQRvn+Om/qLSmUgbcKZQxSRPFS5mfmm6rCgRsrPty1SguJh84SfBlz4f2Iq8ec=AQAAAACAAABAHwAA3xwAAA==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AQAAAACAAABAHwAASAkAAA==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AQAAAACAAABAHwAAWxgAAA==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AQAAAACAAABAHwAAwwsAAA==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AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAAAUNAAAVgoAAA==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AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/grid/Grid_300000.pvtu

@@ -0,0 +1,27 @@
+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="f_1[1]"/>
+<PDataArray type="Float64" Name="f_1[2]"/>
+<PDataArray type="Float64" Name="f_1[3]"/>
+<PDataArray type="Float64" Name="f_1[4]"/>
+<PDataArray type="Float64" Name="f_1[5]"/>
+<PDataArray type="Float64" Name="f_1[6]"/>
+<PDataArray type="Float64" Name="f_1[7]"/>
+<PDataArray type="Float64" Name="f_1[8]"/>
+<PDataArray type="Float64" Name="f_1[9]"/>
+<PDataArray type="Float64" Name="f_1[10]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Grid_0_300000.vtu"/>
+<Piece Source="Grid_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/log.sparta

@@ -0,0 +1,318 @@
+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    R equal 1.380649e-23/${molecular_mass}
+variable    R equal 1.380649e-23/6.63e-26
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.4
+variable   Ma equal 5.800000000000001
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    mfp equal 0.4*${L}
+variable    mfp equal 0.4*1
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*0.4)
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    sos equal sqrt(1.666666667*${R}*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*273)
+variable    vo equal ${Ma}*${sos}
+variable    vo equal 5.8*${sos}
+variable    vo equal 5.8*307.815564238681
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vx equal 1785.33027258435*cos(${theta}*2*PI/360)
+variable    vx equal 1785.33027258435*cos(0*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    vy equal 1785.33027258435*sin(${theta}*2*PI/360)
+variable    vy equal 1785.33027258435*sin(0*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/0.4*${cpmfp}
+variable    xncells equal (6--5)/0.4*4
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/0.4*${cpmfp}
+variable    yncells equal (5--5)/0.4*4
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/100
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/1785.33027258435/${xncells}/10/4
+variable    tstep equal (--5+6)/1785.33027258435/110/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+Running on 128 MPI task(s)
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    nrho 3.23595913252916e+19
+global    fnum ${Fnum}
+global    fnum 1.07865304417639e+16
+timestep    ${tstep}
+timestep    1.40030113105131e-06
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 -5 ${ymax} -0.5 0.5
+create_box    -5 6 -5 5 -0.5 0.5
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+create_grid    ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    110 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    110 100 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+Created 48572 child grid cells
+  CPU time = 0.0896298 secs
+  create/ghost percent = 1.23771 98.7623
+balance_grid  rcb cell
+Balance grid migrated 48478 cells
+  CPU time = 0.0793607 secs
+  reassign/sort/migrate/ghost percent = 66.7451 0.0381549 9.07182 24.1449
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1785.33027258435 ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1785.33027258435 0 0.0 temp ${To}
+mixture   air Ar vstream 1785.33027258435 0 0.0 temp 273
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  43392 4856 324 = cells outside/inside/overlapping surfs
+  324 = surf cells with 1,2,etc splits
+  109.215 109.215 = cell-wise and global flow volume
+  CPU time = 0.106905 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 30.8917 29.3834 2.52724 20.0361 17.1616 5.64215 0.136886
+  surf2grid time = 0.0214197 secs
+  map/comm1/comm2/comm3/comm4/split percent = 13.7554 24.5343 4.14992 1.7916 12.5871 6.95093
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+Balance grid migrated 1125 cells
+  CPU time = 0.0291118 secs
+  reassign/sort/migrate/ghost percent = 8.61773 0.103017 34.0345 57.2447
+create_particles air n 0
+Created 327644 particles
+  CPU time = 0.0126825 secs
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.59521 0 1.6875
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.37473 3.22189 6.03439
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave 
+       0            0   327644        0        0        0            0            0 
+   10000    9.0363663   367336     4165     3664       15     348854.7      14.2327 
+   20000    18.951921   367606     4169     3657       22    358456.86      14.3651 
+   30000    29.508835   367687     4194     3701       18    361514.86    14.388933 
+   40000    40.919284   368343     4238     3749       15    363112.32    14.416225 
+   50000    51.152853   368130     4184     3716       11    364127.02     14.42588 
+   60000    60.998696   367299     4078     3605       21    364697.66    14.427383 
+   70000    71.181374   367228     4095     3584       16    365128.55    14.431743 
+   80000     81.11806   368245     4195     3672        8    365461.24    14.435913 
+   90000    91.512917   368255     4099     3607       20    365784.67      14.4423 
+  100000    102.79374   367608     4161     3657       14    365981.68     14.44262 
+  110000    113.13507   367630     4155     3663       16    366186.62    14.451745 
+  120000    122.78657   367907     4128     3611       19    366352.56    14.449742 
+  130000     132.9078   367306     4143     3668        9    366448.73      14.4447 
+  140000    142.93667   367480     4171     3659       15    366526.49      14.4464 
+  150000    153.21564   367383     4213     3705       15    366594.78    14.441647 
+  160000    164.34933   367261     4194     3732       20    366682.06    14.442381 
+  170000    174.64326   368016     4163     3679       19    366736.33    14.446782 
+  180000    184.45578   367741     4167     3664       17    366798.01    14.448111 
+  190000    194.42868   367782     4169     3654       20    366850.25    14.449495 
+  200000    205.17198   368454     4265     3772       14    366906.64     14.44818 
+Loop time of 205.172 on 128 procs for 200000 steps with 368454 particles
+
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.023406   | 8.9794     | 58.973     | 389.8 |  4.38
+Coll    | 0.25345    | 6.7042     | 53.057     | 341.7 |  3.27
+Sort    | 0.087055   | 1.4621     | 9.5568     | 160.0 |  0.71
+Comm    | 50.563     | 82.459     | 92.506     |  92.0 | 40.19
+Modify  | 0.019104   | 0.10373    | 1.9553     |  88.2 |  0.05
+Output  | 0.0045055  | 0.0077227  | 0.009263   |   0.7 |  0.00
+Other   |            | 105.5      |            |       | 51.40
+
+Particle moves    = 73381328165 (73.4B)
+Cells touched     = 76652286658 (76.7B)
+Particle comms    = 175709635 (176M)
+Boundary collides = 0 (0K)
+Boundary exits    = 16716762 (16.7M)
+SurfColl checks   = 195661820 (196M)
+SurfColl occurs   = 2889636 (2.89M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 970364732 (970M)
+Collide occurs    = 765670278 (766M)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+
+Particle-moves/CPUsec/proc: 2.79419e+06
+Particle-moves/step: 366907
+Cell-touches/particle/step: 1.04457
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00239447
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000227807
+Surface-checks/particle/step: 0.00266637
+Surface-collisions/particle/step: 3.93784e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0132236
+Collisions/particle/step: 0.0104341
+Reactions/particle/step: 0
+
+Particles: 2878.55 ave 19963 max 0 min
+Histogram: 84 16 4 12 2 4 2 2 0 2
+Cells:      379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump         1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 10000 c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump         2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump         3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.63477 0 3.375
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.54192 3.34929 6.16229
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave 
+  200000            0   368454     4265     3772        0            0            0 
+  210000    19.139429   367533     4062     3565       22    368008.47      14.4514 
+  220000    37.460812   367680     4224     3724        8    367917.54     14.45185 
+  230000    55.951257   367368     4119     3599       13    367869.51       14.455 
+  240000    75.178213   368018     4147     3657       13    367894.18     14.46405 
+  250000    95.924529   367836     4134     3602       14    367837.46     14.45092 
+  260000    114.19811   367484     4128     3666       14    367806.49     14.45255 
+  270000    133.07904   368101     4154     3671       16    367818.91    14.470971 
+  280000     152.5907   367642     4181     3700       13    367807.26      14.4642 
+  290000    170.76175   367533     4261     3751       11    367796.87    14.465844 
+  300000    189.73359   367245     4102     3599       21    367809.78     14.46151 
+Loop time of 189.734 on 128 procs for 100000 steps with 367245 particles
+
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.011718   | 4.5269     | 29.755     | 276.0 |  2.39
+Coll    | 0.12704    | 3.3781     | 27.037     | 243.5 |  1.78
+Sort    | 0.048679   | 0.74098    | 4.8153     | 113.0 |  0.39
+Comm    | 31.513     | 47.461     | 52.938     |  61.5 | 25.01
+Modify  | 1.7673     | 12.548     | 76.453     | 426.7 |  6.61
+Output  | 0.034077   | 0.035693   | 0.038845   |   0.6 |  0.02
+Other   |            | 121        |            |       | 63.80
+
+Particle moves    = 36780978286 (36.8B)
+Cells touched     = 38419527326 (38.4B)
+Particle comms    = 87992581 (88M)
+Boundary collides = 0 (0K)
+Boundary exits    = 8377729 (8.38M)
+SurfColl checks   = 98082527 (98.1M)
+SurfColl occurs   = 1446151 (1.45M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 488484168 (488M)
+Collide occurs    = 385390163 (385M)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+
+Particle-moves/CPUsec/proc: 1.5145e+06
+Particle-moves/step: 367810
+Cell-touches/particle/step: 1.04455
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00239234
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000227773
+Surface-checks/particle/step: 0.00266666
+Surface-collisions/particle/step: 3.93179e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0132809
+Collisions/particle/step: 0.010478
+Reactions/particle/step: 0
+
+Particles: 2869.1 ave 20193 max 0 min
+Histogram: 84 16 4 12 2 5 1 2 0 2
+Cells:      379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+write_grid    grid/final-grid.dat
+  grid cells = 48572
+  CPU time = 0.00717874 secs
+write_surf    surf/geom.surf
+  surf elements = 200
+  CPU time = 0.00154363 secs

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/mir.txt

@@ -0,0 +1,3 @@
+dimension     2
+create_box    -5.0 6.0 -5.0 5.0 -0.5 0.5
+read_grid     grid/final-grid.dat

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/output/surf.300000.dat

@@ -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      0.00131      0.02946    -0.029457   0.00046274  -2.1835e-05   -0.0013899  -0.00046303  -1.4564e-05       7.3877            0            0 
+129     -0.31871      0.38526     -0.30645      0.39508       0.1191       3.1836       1.9905      -2.4846      0.58908      0.47195     0.040519    -0.031613       1097.4            0            0 
+2      0.49975    -0.015705      0.49901    -0.031395      0.00142     0.033883    -0.033845    0.0015961   2.4915e-05   0.00052832  -0.00053123   3.3369e-05        8.351            0            0 
+130     -0.30645      0.39508     -0.29389      0.40451      0.11125       2.9689       1.7826      -2.3742      0.57837      0.43425     0.037084    -0.030471       1009.3            0            0 
+3      0.49901    -0.031395      0.49778    -0.047054      0.00145     0.033331    -0.033228    0.0026151  -0.00025118   -0.0031915  -0.00052587  -9.0543e-06       10.495            0            0 
+131     -0.29389      0.40451     -0.28104      0.41354      0.10571       2.8557        1.642      -2.3364      0.56918      0.40002     0.034732    -0.030415       968.62            0            0 
+4      0.49778    -0.047054      0.49606    -0.062667      0.00159     0.038577    -0.038344    0.0042332   0.00030991    0.0028071  -0.00059742   0.00011059        10.09            0            0 
+132     -0.28104      0.41354     -0.26791      0.42216      0.10156        2.695       1.4796      -2.2525      0.57075      0.37491     0.032206    -0.029492       906.45            0            0 
+5      0.49606    -0.062667      0.49384    -0.078217      0.00148     0.035914    -0.035556    0.0050603   6.5296e-05   0.00045879  -0.00055746    8.669e-05       10.701            0            0 
+133     -0.26791      0.42216     -0.25452      0.43037      0.09622       2.5487       1.3317      -2.1732      0.57845      0.35447     0.030003    -0.028567       858.65            0            0 
+6      0.49384    -0.078217      0.49114    -0.093691      0.00153     0.036618    -0.036073    0.0062958   0.00020213    0.0011581  -0.00056344   0.00011708       8.9009            0            0 
+134     -0.25452      0.43037     -0.24088      0.43815      0.08857        2.362       1.1703      -2.0517      0.55696      0.31768      0.02713    -0.027237       803.06            0            0 
+7      0.49114    -0.093691      0.48796     -0.10907       0.0014     0.030428    -0.029796    0.0061704    0.0005556    0.0026829  -0.00045928   0.00013906       7.2212            0            0 
+135     -0.24088      0.43815       -0.227       0.4455      0.08458       2.2374        1.047      -1.9774      0.59082      0.31282     0.025725    -0.026146       788.11            0            0 
+8      0.48796     -0.10907      0.48429     -0.12434      0.00159     0.036998    -0.035976     0.008637   0.00098538    0.0041044  -0.00054961   0.00020013       8.4845            0            0 
+136       -0.227       0.4455     -0.21289      0.45241      0.07835       2.0959      0.92207      -1.8822      0.57404      0.28122       0.0235    -0.025147       742.01            0            0 
+9      0.48429     -0.12434      0.48015      -0.1395      0.00156     0.039484    -0.038084     0.010419   0.00086766    0.0031716  -0.00058458   0.00021347       11.563            0            0 
+137     -0.21289      0.45241     -0.19857      0.45888      0.07667        2.032      0.83619       -1.852      0.59261      0.26757     0.022443    -0.024886       722.22            0            0 
+10      0.48015      -0.1395      0.47553     -0.15451       0.0014     0.032035    -0.030619    0.0094197  -0.00045486   -0.0014785  -0.00048809   0.00012473       8.8551            0            0 
+138     -0.19857      0.45888     -0.18406      0.46489      0.07032       1.8504      0.70812      -1.7095      0.55458      0.22972     0.019834    -0.023244       655.08            0            0 
+11      0.47553     -0.15451      0.47044     -0.16937      0.00136     0.031513    -0.029814     0.010208    0.0009629    0.0028124  -0.00045318   0.00020451       7.9842            0            0 
+139     -0.18406      0.46489     -0.16937      0.47044      0.06677       1.7402       0.6151      -1.6278      0.54056      0.20426     0.018152     -0.02236       606.26            0            0 
+12      0.47044     -0.16937      0.46489     -0.18406      0.00142     0.035256     -0.03298     0.012462     0.002334    0.0061767  -0.00048137   0.00029277       11.071            0            0 
+140     -0.16937      0.47044     -0.15451      0.47553      0.06173       1.6368      0.53019      -1.5486      0.54637      0.18707      0.01691    -0.021385       601.94            0            0 
+13      0.46489     -0.18406      0.45888     -0.19857      0.00148     0.031665    -0.029255     0.012118    0.0024559     0.005929  -0.00042094   0.00028347       8.2749            0            0 
+141     -0.15451      0.47553      -0.1395      0.48015      0.05799       1.5295      0.44974      -1.4619      0.53744      0.16534     0.015506    -0.020365        562.5            0            0 
+14      0.45888     -0.19857      0.45241     -0.21289      0.00149     0.034396    -0.031349     0.014155    0.0034115    0.0075556  -0.00043882   0.00034101        11.54            0            0 
+142      -0.1395      0.48015     -0.12434      0.48429      0.05299       1.3844       0.3653      -1.3353      0.48852      0.13364     0.013411    -0.018875       502.42            0            0 
+15      0.45241     -0.21289       0.4455       -0.227      0.00144     0.031238    -0.028052     0.013743    0.0057288     0.011694  -0.00035064   0.00039954       11.936            0            0 
+143     -0.12434      0.48429     -0.10907      0.48796      0.05036       1.3273      0.30984      -1.2906      0.49491      0.11882      0.01264    -0.018405        490.3            0            0 
+16       0.4455       -0.227      0.43815     -0.24088       0.0015     0.030954    -0.027356     0.014484    0.0058325     0.011016  -0.00033807   0.00040053       9.9685            0            0 
+144     -0.10907      0.48796    -0.093691      0.49114       0.0467       1.2195       0.2473      -1.1942      0.48926      0.10132     0.011569    -0.017166       460.71            0            0 
+17      0.43815     -0.24088      0.43037     -0.25452      0.00162     0.036055    -0.031318     0.017864    0.0087113     0.015273   -0.0003551   0.00052048       12.747            0            0 
+145    -0.093691      0.49114    -0.078217      0.49384      0.04388       1.1521      0.19809       -1.135      0.50036     0.087326     0.010971    -0.016456       443.96            0            0 
+18      0.43037     -0.25452      0.42216     -0.26791      0.00172     0.036375    -0.031015     0.019006     0.011132     0.018166   -0.0003123   0.00058388       15.742            0            0 
+146    -0.078217      0.49384    -0.062667      0.49606      0.03944       1.0445      0.14717      -1.0341      0.44839     0.063815    0.0093547     -0.01524       406.57            0            0 
+19      0.42216     -0.26791      0.41354     -0.28104      0.00144     0.029585    -0.024727     0.016243    0.0098772     0.015037  -0.00023325   0.00049131         13.3            0            0 
+147    -0.062667      0.49606    -0.047054      0.49778      0.03762      0.98984      0.10862     -0.98386      0.42562     0.046989    0.0083914    -0.014716       395.78            0            0 
+20      0.41354     -0.28104      0.40451     -0.29389      0.00168      0.03388    -0.027719     0.019481     0.012905     0.018362   -0.0002327   0.00059441        15.56            0            0 
+148    -0.047054      0.49778    -0.031395      0.49901      0.03528      0.91337     0.071662     -0.91055      0.42034     0.033081     0.007728    -0.013783       365.12            0            0 
+21      0.40451     -0.29389      0.39508     -0.30645      0.00196     0.041529     -0.03321     0.024935     0.012565     0.016735  -0.00032428   0.00065451       15.199            0            0 
+149    -0.031395      0.49901    -0.015705      0.49975       0.0333      0.86342     0.040673     -0.86247      0.42124     0.019865    0.0072554    -0.013235       345.43            0            0 
+22      0.39508     -0.30645      0.38526     -0.31871      0.00233     0.049465    -0.038604     0.030928     0.021278     0.026559  -0.00027215   0.00090297       19.448            0            0 
+150    -0.015705      0.49975            0          0.5      0.02976      0.76216     0.011971     -0.76207      0.36663    0.0057594    0.0059467     -0.01188       306.69            0            0 
+23      0.38526     -0.31871      0.37506     -0.33066       0.0019     0.038621    -0.029368     0.025083     0.018847     0.022067  -0.00016525    0.0007406       16.495            0            0 
+151            0          0.5     0.015705      0.49975      0.02769      0.71497     -0.01123     -0.71488      0.35751   -0.0056162    0.0054391    -0.011317       277.81            0            0 
+24      0.37506     -0.33066      0.36448     -0.34227      0.00251     0.051017    -0.037734     0.034335     0.026844     0.029501  -0.00017106    0.0010027       22.158            0            0 
+152     0.015705      0.49975     0.031395      0.49901      0.02488      0.63675    -0.029995     -0.63604      0.32489    -0.015321     0.004632    -0.010231        255.2            0            0 
+25      0.36448     -0.34227      0.35355     -0.35355      0.00263     0.057175    -0.041059     0.039789     0.033416     0.034482  -0.00012005    0.0011666       26.472            0            0 
+153     0.031395      0.49901     0.047054      0.49778      0.02263      0.57249    -0.044917     -0.57072      0.30053    -0.023652    0.0040149    -0.009336       229.58            0            0 
+26      0.35355     -0.35355      0.34227     -0.36448      0.00304     0.066074    -0.045982     0.047449     0.038467     0.037278  -0.00011803    0.0013308       29.316            0            0 
+154     0.047054      0.49778     0.062667      0.49606      0.02139       0.5463    -0.059948       -0.543      0.30857    -0.034067    0.0039052   -0.0090642       228.21            0            0 
+27      0.34227     -0.36448      0.33066     -0.37506      0.00325     0.067086     -0.04515     0.049619     0.041655     0.037903  -5.4897e-05    0.0013747       30.696            0            0 
+155     0.062667      0.49606     0.078217      0.49384      0.01942      0.48018    -0.067659     -0.47539      0.28287    -0.040258    0.0033804   -0.0080995       209.94            0            0 
+28      0.33066     -0.37506      0.31871     -0.38526      0.00319     0.068296    -0.044355     0.051933     0.043525     0.037174  -1.3038e-05    0.0013996       31.728            0            0 
+156     0.078217      0.49384     0.093691      0.49114      0.01748       0.4363    -0.075012      -0.4298      0.25089    -0.043788    0.0027626   -0.0074388       182.94            0            0 
+29      0.31871     -0.38526      0.30645     -0.39508      0.00394     0.089861    -0.056185      0.07013      0.05614     0.044976  -7.1359e-07     0.001808       39.149            0            0 
+157     0.093691      0.49114      0.10907      0.48796      0.01674      0.41492     -0.08414      -0.4063      0.24689    -0.051128    0.0025563   -0.0071849       185.05            0            0 
+30      0.30645     -0.39508      0.29389     -0.40451      0.00437      0.09791    -0.058787     0.078297     0.066621      0.05002   0.00012305    0.0020155        46.69            0            0 
+158      0.10907      0.48796      0.12434      0.48429      0.01517      0.36604    -0.085449     -0.35592      0.22645    -0.054365    0.0022147   -0.0064445       155.32            0            0 
+31      0.29389     -0.40451      0.28104     -0.41354       0.0047      0.10233    -0.058838     0.083718     0.070413     0.049487   0.00018181    0.0020923       47.913            0            0 
+159      0.12434      0.48429       0.1395      0.48015       0.0133      0.32002    -0.084445     -0.30868      0.20093    -0.054969    0.0018297   -0.0057119       139.18            0            0 
+32      0.28104     -0.41354      0.26791     -0.42216      0.00497      0.11072    -0.060788      0.09254     0.076716     0.050393   0.00025019    0.0022451       52.026            0            0 
+160       0.1395      0.48015      0.15451      0.47553      0.01274      0.31088     -0.09141     -0.29713      0.19556    -0.060163    0.0016359   -0.0056121       134.19            0            0 
+33      0.26791     -0.42216      0.25452     -0.43037      0.00607      0.13676    -0.071457      0.11661      0.09284     0.056892   0.00033587    0.0027252       58.135            0            0 
+161      0.15451      0.47553      0.16937      0.47044      0.01151      0.28053    -0.090867      -0.2654      0.18447    -0.063157    0.0014702   -0.0051608       130.55            0            0 
+34      0.25452     -0.43037      0.24088     -0.43815      0.00621      0.13985    -0.069291      0.12148     0.087349     0.049823   0.00028364    0.0026907        59.01            0            0 
+162      0.16937      0.47044      0.18406      0.46489       0.0102      0.24131    -0.085297     -0.22573      0.16309    -0.061628     0.001222   -0.0045137       113.39            0            0 
+35      0.24088     -0.43815        0.227      -0.4455      0.00687      0.16098    -0.075325      0.14226      0.10418     0.055161   0.00045326     0.003101       74.442            0            0 
+163      0.18406      0.46489      0.19857      0.45888      0.00909      0.21745    -0.083215      -0.2009      0.14124    -0.058503   0.00091141   -0.0040745       93.957            0            0 
+36        0.227      -0.4455      0.21289     -0.45241      0.00788      0.18596    -0.081812        0.167      0.12755     0.062487   0.00071847    0.0036046       89.573            0            0 
+164      0.19857      0.45888      0.21289      0.45241      0.00868      0.20024    -0.082402      -0.1825      0.13298    -0.060044   0.00079448   -0.0038097       84.897            0            0 
+37      0.21289     -0.45241      0.19857     -0.45888      0.00915      0.21391    -0.088028      0.19496      0.13824      0.06242   0.00078877    0.0040427       94.804            0            0 
+165      0.21289      0.45241        0.227       0.4455      0.00822      0.18914    -0.083208     -0.16985      0.12771    -0.062564   0.00069898   -0.0036506       85.594            0            0 
+38      0.19857     -0.45888      0.18406     -0.46489      0.00933      0.22563    -0.086344      0.20845      0.14739      0.06105   0.00095882    0.0042332       105.36            0            0 
+166        0.227       0.4455      0.24088      0.43815      0.00715      0.16361    -0.076559     -0.14459      0.10782    -0.057089   0.00049108   -0.0031679       73.063            0            0 
+39      0.18406     -0.46489      0.16937     -0.47044      0.01079      0.25475    -0.090047       0.2383      0.16884     0.063801    0.0012377    0.0047452       113.23            0            0 
+167      0.24088      0.43815      0.25452      0.43037      0.00578      0.13103    -0.064919     -0.11382     0.091018    -0.051916   0.00040994   -0.0026032       61.561            0            0 
+40      0.16937     -0.47044      0.15451     -0.47553      0.01167      0.27829    -0.090143      0.26329      0.16972     0.058107    0.0012499    0.0050482       115.51            0            0 
+168      0.25452      0.43037      0.26791      0.42216       0.0059      0.13612    -0.071121     -0.11606     0.092688    -0.056799   0.00033876   -0.0027151        64.63            0            0 
+41      0.15451     -0.47553       0.1395     -0.48015      0.01276       0.3115    -0.091594      0.29773       0.1968     0.060545    0.0016526    0.0056276       134.16            0            0 
+169      0.26791      0.42216      0.28104      0.41354      0.00501      0.10703    -0.058764     -0.08946     0.075034    -0.049288   0.00025556   -0.0021794       46.415            0            0 
+42       0.1395     -0.48015      0.12434     -0.48429      0.01433      0.34745    -0.091684      0.33514      0.21044     0.057569    0.0018653    0.0061684       148.15            0            0 
+170      0.28104      0.41354      0.29389      0.40451      0.00496      0.10826    -0.062251    -0.088574     0.069711    -0.048994   0.00011718   -0.0021608       49.554            0            0 
+43      0.12434     -0.48429      0.10907     -0.48796      0.01448      0.35361    -0.082548      0.34384      0.21933     0.052657    0.0021485    0.0062279       153.35            0            0 
+171      0.29389      0.40451      0.30645      0.39508      0.00387     0.086626    -0.052012    -0.069273     0.058622    -0.044015   0.00010383   -0.0017795       40.803            0            0 
+44      0.10907     -0.48796     0.093691     -0.49114      0.01724      0.42478    -0.086139      0.41595      0.24923     0.051613    0.0025617    0.0073442       176.56            0            0 
+172      0.30645      0.39508      0.31871      0.38526      0.00388     0.084086    -0.052574    -0.065623      0.05192    -0.041595   -1.028e-05   -0.0016841       37.709            0            0 
+45     0.093691     -0.49114     0.078217     -0.49384      0.01789      0.45158     -0.07764      0.44486      0.25835     0.045089    0.0028384    0.0076958       185.03            0            0 
+173      0.31871      0.38526      0.33066      0.37506      0.00308     0.067769    -0.044013    -0.051532     0.039211     -0.03349  -7.5413e-05   -0.0013355       30.084            0            0 
+46     0.078217     -0.49384     0.062667     -0.49606      0.01912      0.47422    -0.066819      0.46949      0.27607     0.039291    0.0032868    0.0079916       205.61            0            0 
+174      0.33066      0.37506      0.34227      0.36448      0.00278     0.060266     -0.04056    -0.044574     0.036326    -0.033054  -6.6497e-05   -0.0012193       29.658            0            0 
+47     0.062667     -0.49606     0.047054     -0.49778      0.02144      0.53539    -0.058751      0.53216      0.30661      0.03385    0.0038931    0.0088905        230.9            0            0 
+175      0.34227      0.36448      0.35355      0.35355       0.0026     0.055859    -0.038873    -0.040113     0.034717    -0.033643  -6.5275e-05   -0.0011585       27.799            0            0 
+48     0.047054     -0.49778     0.031395     -0.49901      0.02315       0.5858    -0.045962        0.584      0.31702      0.02495    0.0042576     0.009565       238.69            0            0 
+176      0.35355      0.35355      0.36448      0.34227      0.00242     0.051617    -0.037068    -0.035921     0.026967    -0.027827  -0.00015866   -0.0010013       24.087            0            0 
+49     0.031395     -0.49901     0.015705     -0.49975      0.02587      0.65965    -0.031074      0.65892      0.34407     0.016226    0.0049164     0.010605       270.03            0            0 
+177      0.36448      0.34227      0.37506      0.33066      0.00219     0.046534    -0.034418    -0.031318     0.023487    -0.025812   -0.0001717  -0.00089736       21.909            0            0 
+50     0.015705     -0.49975            0         -0.5      0.02879      0.74373    -0.011682      0.74364      0.37114    0.0058303    0.0056461     0.011772       296.91            0            0 
+178      0.37506      0.33066      0.38526      0.31871      0.00194     0.039017    -0.029668    -0.025339     0.017557    -0.020557  -0.00019023  -0.00072091        15.91            0            0 
+51            0         -0.5    -0.015705     -0.49975      0.02935      0.74769     0.011744       0.7476      0.37977    -0.005966    0.0061497     0.011649       289.61            0            0 
+179      0.38526      0.31871      0.39508      0.30645      0.00204     0.043913    -0.034271    -0.027456     0.018678    -0.023314  -0.00024492  -0.00079746       18.118            0            0 
+52    -0.015705     -0.49975    -0.031395     -0.49901      0.03247      0.83327     0.039252      0.83235      0.38674    -0.018238    0.0066912     0.012787       329.75            0            0 
+180      0.39508      0.30645      0.40451      0.29389      0.00175     0.038305    -0.030632    -0.022999     0.015767       -0.021  -0.00023348  -0.00069111       17.669            0            0 
+53    -0.031395     -0.49901    -0.047054     -0.49778      0.03524      0.89665     0.070351      0.89389      0.42334    -0.033318    0.0077546     0.013517       347.48            0            0 
+181      0.40451      0.29389      0.41354      0.28104      0.00181     0.037955    -0.031053    -0.021825     0.011711    -0.016664  -0.00030381  -0.00060455       15.823            0            0 
+54    -0.047054     -0.49778    -0.062667     -0.49606      0.03851       1.0001      0.10975      0.99411      0.44653    -0.049297    0.0087377      0.01484       382.46            0            0 
+182      0.41354      0.28104      0.42216      0.26791      0.00157     0.033421    -0.027934    -0.018349     0.012682    -0.019307  -0.00023956  -0.00059147       13.339            0            0 
+55    -0.062667     -0.49606    -0.078217     -0.49384      0.04045       1.0592      0.14924       1.0486      0.44026    -0.062658    0.0092593     0.015486       411.51            0            0 
+183      0.42216      0.26791      0.43037      0.25452      0.00154     0.032054     -0.02733    -0.016748      0.01055    -0.017216  -0.00026357  -0.00053349       13.473            0            0 
+56    -0.078217     -0.49384    -0.093691     -0.49114       0.0425       1.1172      0.19207       1.1005      0.46506    -0.081165     0.010322     0.016011       435.77            0            0 
+184      0.43037      0.25452      0.43815      0.24088      0.00143     0.031999    -0.027795    -0.015854    0.0060207    -0.010555  -0.00034201  -0.00041482       9.7517            0            0 
+57    -0.093691     -0.49114     -0.10907     -0.48796      0.04737       1.2297      0.24937       1.2042      0.50355     -0.10428     0.011826     0.017276       468.85            0            0 
+185      0.43815      0.24088       0.4455        0.227      0.00126     0.027356    -0.024176    -0.012801     0.005265   -0.0099439  -0.00029704  -0.00035726       9.6889            0            0 
+58     -0.10907     -0.48796     -0.12434     -0.48429      0.05137       1.3609       0.3177       1.3233      0.51392     -0.12338     0.013063     0.018848       510.87            0            0 
+186       0.4455        0.227      0.45241      0.21289      0.00122     0.025826    -0.023193    -0.011362    0.0036362   -0.0074224  -0.00030718  -0.00029505       9.0464            0            0 
+59     -0.12434     -0.48429      -0.1395     -0.48015      0.05409       1.4327      0.37806        1.382      0.51762     -0.14161     0.014069     0.019483       535.03            0            0 
+187      0.45241      0.21289      0.45888      0.19857      0.00148      0.03206     -0.02922    -0.013193    0.0021689   -0.0048035   -0.0004249  -0.00028268       6.8839            0            0 
+60      -0.1395     -0.48015     -0.15451     -0.47553      0.05935       1.5755      0.46326       1.5058      0.54299     -0.16705     0.015805     0.021029       579.17            0            0 
+188      0.45888      0.19857      0.46489      0.18406      0.00122     0.027294    -0.025216    -0.010445   0.00021377  -0.00051608  -0.00039272  -0.00017217       8.8442            0            0 
+61     -0.15451     -0.47553     -0.16937     -0.47044      0.06173       1.6365      0.53009       1.5483      0.53322     -0.18256     0.016702     0.021451       595.57            0            0 
+189      0.46489      0.18406      0.47044      0.16937       0.0014     0.032302    -0.030217    -0.011418    0.0026914   -0.0071226  -0.00043235  -0.00029122       9.2192            0            0 
+62     -0.16937     -0.47044     -0.18406     -0.46489      0.06534       1.7101      0.60448       1.5997      0.53888     -0.20363     0.017959     0.021929       610.63            0            0 
+190      0.47044      0.16937      0.47553      0.15451      0.00132     0.029886    -0.028274   -0.0096805    0.0008004   -0.0023378  -0.00043154  -0.00018877       8.9299            0            0 
+63     -0.18406     -0.46489     -0.19857     -0.45888      0.07058       1.8702      0.71571       1.7279      0.58978      -0.2443     0.020506     0.023303       673.76            0            0 
+191      0.47553      0.15451      0.48015       0.1395      0.00144     0.031404    -0.030016   -0.0092341   0.00048723   -0.0015838  -0.00046381  -0.00016992       8.5935            0            0 
+64     -0.19857     -0.45888     -0.21289     -0.45241      0.07451       1.9804      0.81497        1.805       0.5578     -0.25186     0.021562     0.024395       679.75            0            0 
+192      0.48015       0.1395      0.48429      0.12434      0.00138     0.033507     -0.03232   -0.0088416     0.000138  -0.00050444  -0.00050549   -0.0001468       8.9154            0            0 
+65     -0.21289     -0.45241       -0.227      -0.4455      0.07933        2.094      0.92123       1.8805      0.57362     -0.28101      0.02348     0.025123       725.84            0            0 
+193      0.48429      0.12434      0.48796      0.10907       0.0015     0.031652    -0.030777   -0.0073889   0.00035754   -0.0014893  -0.00047781  -0.00013945       7.4823            0            0 
+66       -0.227      -0.4455     -0.24088     -0.43815      0.08636       2.2791       1.0665       2.0142      0.57021     -0.30191     0.025708     0.026895       788.25            0            0 
+194      0.48796      0.10907      0.49114     0.093691      0.00125     0.030613    -0.029977   -0.0062079   0.00018649  -0.00090052  -0.00046792  -0.00011165       7.1821            0            0 
+67     -0.24088     -0.43815     -0.25452     -0.43037         0.09       2.4076       1.1928       2.0913      0.57033     -0.32531     0.027695     0.027739        825.1            0            0 
+195      0.49114     0.093691      0.49384     0.078217      0.00157     0.037511    -0.036953   -0.0064493   0.00050662   -0.0029028  -0.00057247   -0.0001469       9.8971            0            0 
+68     -0.25452     -0.43037     -0.26791     -0.42216       0.0922       2.4803        1.296       2.1148      0.57426     -0.35191     0.029376      0.02769       870.01            0            0 
+196      0.49384     0.078217      0.49606     0.062667      0.00112     0.027894    -0.027616   -0.0039304  -0.00011481    0.0008067  -0.00043558  -4.9064e-05       6.3856            0            0 
+69     -0.26791     -0.42216     -0.28104     -0.41354      0.10124       2.6814       1.4722       2.2412      0.58085     -0.38154     0.032247      0.02921       902.28            0            0 
+197      0.49606     0.062667      0.49778     0.047054      0.00141     0.033435    -0.033233    -0.003669   0.00014152   -0.0012818  -0.00051978  -7.7764e-05       8.4237            0            0 
+70     -0.28104     -0.41354     -0.29389     -0.40451      0.10418       2.7679       1.5916       2.2646      0.57519     -0.40425     0.034034     0.029221       928.91            0            0 
+198      0.49778     0.047054      0.49901     0.031395       0.0016     0.037696     -0.03758   -0.0029576   4.8767e-05  -0.00061965  -0.00058951  -5.6189e-05       10.157            0            0 
+71     -0.29389     -0.40451     -0.30645     -0.39508      0.11054       2.9407       1.7656       2.3516      0.57752     -0.43361     0.036805     0.030126        995.5            0            0 
+199      0.49901     0.031395      0.49975     0.015705      0.00137     0.031567    -0.031532    -0.001487  -8.7439e-05    0.0018541  -0.00049666   5.7664e-06       8.8728            0            0 
+72     -0.30645     -0.39508     -0.31871     -0.38526      0.11675       3.1387       1.9624       2.4495      0.55674     -0.44603     0.039569     0.031469       1049.5            0            0 
+200      0.49975     0.015705          0.5            0      0.00133     0.030816    -0.030812  -0.00048404  -4.3055e-05    0.0027407  -0.00048465   3.5447e-05       7.2996            0            0 
+73     -0.31871     -0.38526     -0.33066     -0.37506      0.12506       3.3362       2.1667       2.5369      0.54709     -0.46726     0.042627     0.032508       1106.7            0            0 
+74     -0.33066     -0.37506     -0.34227     -0.36448      0.12771       3.4237       2.3042       2.5323       0.5367     -0.48836     0.044623     0.032105       1136.2            0            0 
+75     -0.34227     -0.36448     -0.35355     -0.35355      0.13622       3.6157       2.5162       2.5966      0.51056     -0.49477     0.047543     0.033013       1185.8            0            0 
+76     -0.35355     -0.35355     -0.36448     -0.34227       0.1403       3.7521       2.6945       2.6111      0.50984     -0.52611     0.050331      0.03275       1223.1            0            0 
+77     -0.36448     -0.34227     -0.37506     -0.33066      0.14889       3.9732       2.9387        2.674      0.47892     -0.52633     0.053682     0.033735       1299.4            0            0 
+78     -0.37506     -0.33066     -0.38526     -0.31871      0.15307       4.0722       3.0965       2.6447      0.44662     -0.52292     0.055653     0.033327       1318.2            0            0 
+79     -0.38526     -0.31871     -0.39508     -0.30645      0.15824       4.2178       3.2917       2.6372      0.42912     -0.53563     0.058445      0.03301       1350.4            0            0 
+80     -0.39508     -0.30645     -0.40451     -0.29389      0.16223       4.3558       3.4833       2.6153      0.41449     -0.55205     0.061223     0.032408         1429            0            0 
+81     -0.40451     -0.29389     -0.41354     -0.28104      0.16625       4.4669       3.6546       2.5685      0.36479     -0.51904     0.063134     0.032192       1447.7            0            0 
+82     -0.41354     -0.28104     -0.42216     -0.26791      0.17544       4.7054       3.9328       2.5834      0.36947     -0.56246     0.067577     0.031743       1508.1            0            0 
+83     -0.42216     -0.26791     -0.43037     -0.25452      0.18067       4.8205       4.1101       2.5187      0.31763     -0.51833     0.069548     0.031421         1552            0            0 
+84     -0.43037     -0.25452     -0.43815     -0.24088       0.1866       5.0156       4.3567        2.485      0.31427     -0.55097     0.073369     0.030379       1589.5            0            0 
+85     -0.43815     -0.24088      -0.4455       -0.227      0.19296       5.1768       4.5751       2.4224      0.27944     -0.52777     0.076252     0.029759       1656.5            0            0 
+86      -0.4455       -0.227     -0.45241     -0.21289      0.19897       5.3311       4.7875       2.3454      0.27304     -0.55735     0.079487     0.028085       1713.1            0            0 
+87     -0.45241     -0.21289     -0.45888     -0.19857      0.20348       5.4162       4.9364       2.2288      0.22497     -0.49826     0.081071     0.027183       1708.5            0            0 
+88     -0.45888     -0.19857     -0.46489     -0.18406      0.20748       5.5129       5.0933       2.1097      0.20164      -0.4868     0.083169     0.025492       1728.3            0            0 
+89     -0.46489     -0.18406     -0.47044     -0.16937      0.21224       5.6594        5.294       2.0004      0.16154      -0.4275     0.085692     0.024707       1775.8            0            0 
+90     -0.47044     -0.16937     -0.47553     -0.15451      0.21524       5.7143       5.4062        1.851      0.14003     -0.40899     0.087117      0.02265       1770.6            0            0 
+91     -0.47553     -0.15451     -0.48015      -0.1395      0.21619       5.7691        5.514       1.6963      0.12569     -0.40857     0.088585     0.020227       1800.6            0            0 
+92     -0.48015      -0.1395     -0.48429     -0.12434      0.22285       5.9685       5.7569       1.5749     0.095319     -0.34843     0.091923     0.019265         1864            0            0 
+93     -0.48429     -0.12434     -0.48796     -0.10907      0.22702       6.0901       5.9218       1.4217     0.084221      -0.3508     0.094339     0.016821       1924.4            0            0 
+94     -0.48796     -0.10907     -0.49114    -0.093691      0.22945       6.1755       6.0472       1.2523     0.051802     -0.25014     0.095799     0.015741       1951.7            0            0 
+95     -0.49114    -0.093691     -0.49384    -0.078217      0.22918       6.1336       6.0423       1.0546     0.044144     -0.25293     0.095602     0.012591       1932.3            0            0 
+96     -0.49384    -0.078217     -0.49606    -0.062667      0.23373       6.2555       6.1931      0.88141     0.031128     -0.21872     0.097766     0.010409       1946.7            0            0 
+97     -0.49606    -0.062667     -0.49778    -0.047054      0.23674       6.3609       6.3225      0.69801     0.020091     -0.18199     0.099625    0.0081053       1993.1            0            0 
+98     -0.49778    -0.047054     -0.49901    -0.031395      0.23678       6.3452       6.3257      0.49784    0.0095234     -0.12101     0.099509    0.0059191       1983.8            0            0 
+99     -0.49901    -0.031395     -0.49975    -0.015705      0.23712       6.3214       6.3143      0.29778    0.0031167    -0.066089      0.09923    0.0036392       1979.8            0            0 
+100     -0.49975    -0.015705         -0.5            0      0.23807       6.3801       6.3793      0.10021   0.00049944    -0.031793      0.10021    0.0010747       2053.4            0            0 
+101         -0.5            0     -0.49975     0.015705      0.23849       6.4264       6.4256     -0.10094   0.00025946     0.016516      0.10093   -0.0013261       2034.9            0            0 
+102     -0.49975     0.015705     -0.49901     0.031395      0.23783       6.3554       6.3484     -0.29938    0.0031283     0.066336     0.099765   -0.0036605         1981            0            0 
+103     -0.49901     0.031395     -0.49778     0.047054      0.23827       6.3754       6.3557     -0.50021    0.0078168     0.099322     0.099954   -0.0062968       1986.6            0            0 
+104     -0.49778     0.047054     -0.49606     0.062667      0.23405         6.27       6.2321     -0.68803     0.012725      0.11526     0.098089   -0.0089967       1964.8            0            0 
+105     -0.49606     0.062667     -0.49384     0.078217      0.23105       6.1843       6.1227     -0.87138      0.03211      0.22561     0.096675    -0.010143       1947.5            0            0 
+106     -0.49384     0.078217     -0.49114     0.093691      0.23561       6.2716       6.1782      -1.0783     0.038244      0.21913     0.097644    -0.013495       1941.4            0            0 
+107     -0.49114     0.093691     -0.48796      0.10907      0.23118       6.1856       6.0571      -1.2544     0.058287      0.28146     0.096056    -0.015282       1944.6            0            0 
+108     -0.48796      0.10907     -0.48429      0.12434      0.22696       6.0368         5.87      -1.4093     0.072848      0.30344     0.093346    -0.017369       1851.4            0            0 
+109     -0.48429      0.12434     -0.48015       0.1395      0.22568       6.0347       5.8208      -1.5924     0.098661      0.36064     0.092979    -0.019348       1906.3            0            0 
+110     -0.48015       0.1395     -0.47553      0.15451      0.22286       5.9525       5.6894      -1.7503      0.12386      0.40262      0.09131    -0.021168       1888.9            0            0 
+111     -0.47553      0.15451     -0.47044      0.16937      0.21741       5.8392       5.5243      -1.8914      0.14732       0.4303     0.089087     -0.02295       1844.5            0            0 
+112     -0.47044      0.16937     -0.46489      0.18406      0.21446       5.7055       5.3372      -2.0167      0.16599      0.43928      0.08644    -0.024778       1783.7            0            0 
+113     -0.46489      0.18406     -0.45888      0.19857      0.20665       5.5261       5.1055      -2.1148      0.20294      0.48993     0.083381    -0.025522       1750.2            0            0 
+114     -0.45888      0.19857     -0.45241      0.21289      0.20423       5.4487        4.966      -2.2422      0.21394      0.47381     0.081363    -0.027777       1729.3            0            0 
+115     -0.45241      0.21289      -0.4455        0.227      0.19956       5.3208       4.7783      -2.3408      0.23865      0.48715     0.078802    -0.029117       1672.5            0            0 
+116      -0.4455        0.227     -0.43815      0.24088      0.19241        5.137       4.5399      -2.4037       0.2587      0.48859     0.075373    -0.030082       1641.9            0            0 
+117     -0.43815      0.24088     -0.43037      0.25452      0.18996       5.0783       4.4112      -2.5161      0.31206       0.5471      0.07419    -0.030928       1605.4            0            0 
+118     -0.43037      0.25452     -0.42216      0.26791       0.1831       4.9053       4.1824       -2.563      0.33809      0.55171     0.071005    -0.031592       1561.8            0            0 
+119     -0.42216      0.26791     -0.41354      0.28104      0.17717       4.7341       3.9568      -2.5991      0.36973      0.56286     0.067958    -0.031984       1519.2            0            0 
+120     -0.41354      0.28104     -0.40451      0.29389      0.17347       4.6462       3.8013      -2.6716      0.40354      0.57418     0.066046    -0.032945         1525            0            0 
+121     -0.40451      0.29389     -0.39508      0.30645      0.16546       4.4319       3.5441       -2.661      0.41028      0.54645     0.062113    -0.033214         1455            0            0 
+122     -0.39508      0.30645     -0.38526      0.31871      0.15878       4.2378       3.3073      -2.6497      0.44837      0.55965     0.058992    -0.032829       1370.4            0            0 
+123     -0.38526      0.31871     -0.37506      0.33066      0.15359       4.1297       3.1403       -2.682      0.44701      0.52339     0.056347    -0.033907       1334.6            0            0 
+124     -0.37506      0.33066     -0.36448      0.34227      0.14673        3.952        2.923      -2.6597      0.48284      0.53064     0.053497    -0.033443       1289.2            0            0 
+125     -0.36448      0.34227     -0.35355      0.35355      0.14029       3.7796       2.7143      -2.6303      0.50312      0.51918     0.050536     -0.03316       1246.5            0            0 
+126     -0.35355      0.35355     -0.34227      0.36448       0.1388       3.7137       2.5844      -2.6669      0.53772      0.52109      0.04904    -0.033704       1234.6            0            0 
+127     -0.34227      0.36448     -0.33066      0.37506      0.12842       3.4189       2.3009      -2.5287      0.53785      0.48941      0.04459    -0.032032       1154.9            0            0 
+128     -0.33066      0.37506     -0.31871      0.38526      0.12483       3.3333       2.1648      -2.5346      0.57043       0.4872     0.042963     -0.03216       1115.2            0            0 

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/runmpirun128.sh

@@ -0,0 +1,18 @@
+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 2
+#SBATCH --ntasks-per-node=64
+
+
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/runmpirun64.sh

@@ -0,0 +1,18 @@
+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 1
+#SBATCH --ntasks-per-node=64
+
+
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/slurm-28429001.out

@@ -0,0 +1,200 @@
+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+Running on 128 MPI task(s)
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+Created 48572 child grid cells
+  CPU time = 0.0896298 secs
+  create/ghost percent = 1.23771 98.7623
+Balance grid migrated 48478 cells
+  CPU time = 0.0793607 secs
+  reassign/sort/migrate/ghost percent = 66.7451 0.0381549 9.07182 24.1449
+Reading surface file ...
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  43392 4856 324 = cells outside/inside/overlapping surfs
+  324 = surf cells with 1,2,etc splits
+  109.214731023047 109.214731023047 = cell-wise and global flow volume
+  CPU time = 0.106905 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 30.8917 29.3834 2.52724 20.0361 17.1616 5.64215 0.136886
+  surf2grid time = 0.0214197 secs
+  map/comm1/comm2/comm3/comm4/split percent = 13.7554 24.5343 4.14992 1.7916 12.5871 6.95093
+Balance grid migrated 1125 cells
+  CPU time = 0.0291118 secs
+  reassign/sort/migrate/ghost percent = 8.61773 0.103017 34.0345 57.2447
+Creating particles ...
+Created 327644 particles
+  CPU time = 0.0126825 secs
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.59521 0 1.6875
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.37473 3.22189 6.03439
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave 
+       0            0   327644        0        0        0            0            0 
+   10000    9.0363663   367336     4165     3664       15     348854.7      14.2327 
+   20000    18.951921   367606     4169     3657       22    358456.86      14.3651 
+   30000    29.508835   367687     4194     3701       18    361514.86    14.388933 
+   40000    40.919284   368343     4238     3749       15    363112.32    14.416225 
+   50000    51.152853   368130     4184     3716       11    364127.02     14.42588 
+   60000    60.998696   367299     4078     3605       21    364697.66    14.427383 
+   70000    71.181374   367228     4095     3584       16    365128.55    14.431743 
+   80000     81.11806   368245     4195     3672        8    365461.24    14.435913 
+   90000    91.512917   368255     4099     3607       20    365784.67      14.4423 
+  100000    102.79374   367608     4161     3657       14    365981.68     14.44262 
+  110000    113.13507   367630     4155     3663       16    366186.62    14.451745 
+  120000    122.78657   367907     4128     3611       19    366352.56    14.449742 
+  130000     132.9078   367306     4143     3668        9    366448.73      14.4447 
+  140000    142.93667   367480     4171     3659       15    366526.49      14.4464 
+  150000    153.21564   367383     4213     3705       15    366594.78    14.441647 
+  160000    164.34933   367261     4194     3732       20    366682.06    14.442381 
+  170000    174.64326   368016     4163     3679       19    366736.33    14.446782 
+  180000    184.45578   367741     4167     3664       17    366798.01    14.448111 
+  190000    194.42868   367782     4169     3654       20    366850.25    14.449495 
+  200000    205.17198   368454     4265     3772       14    366906.64     14.44818 
+Loop time of 205.172 on 128 procs for 200000 steps with 368454 particles
+
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.023406   | 8.9794     | 58.973     | 389.8 |  4.38
+Coll    | 0.25345    | 6.7042     | 53.057     | 341.7 |  3.27
+Sort    | 0.087055   | 1.4621     | 9.5568     | 160.0 |  0.71
+Comm    | 50.563     | 82.459     | 92.506     |  92.0 | 40.19
+Modify  | 0.019104   | 0.10373    | 1.9553     |  88.2 |  0.05
+Output  | 0.0045055  | 0.0077227  | 0.009263   |   0.7 |  0.00
+Other   |            | 105.5      |            |       | 51.40
+
+Particle moves    = 73381328165 (73.4B)
+Cells touched     = 76652286658 (76.7B)
+Particle comms    = 175709635 (176M)
+Boundary collides = 0 (0K)
+Boundary exits    = 16716762 (16.7M)
+SurfColl checks   = 195661820 (196M)
+SurfColl occurs   = 2889636 (2.89M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 970364732 (970M)
+Collide occurs    = 765670278 (766M)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+
+Particle-moves/CPUsec/proc: 2.79419e+06
+Particle-moves/step: 366907
+Cell-touches/particle/step: 1.04457
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00239447
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000227807
+Surface-checks/particle/step: 0.00266637
+Surface-collisions/particle/step: 3.93784e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0132236
+Collisions/particle/step: 0.0104341
+Gas-reactions/particle/step: 0
+
+Particles: 2878.55 ave 19963 max 0 min
+Histogram: 84 16 4 12 2 4 2 2 0 2
+Cells:     379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.63477 0 3.375
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.54192 3.34929 6.16229
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave 
+  200000            0   368454     4265     3772        0            0            0 
+  210000    19.139429   367533     4062     3565       22    368008.47      14.4514 
+  220000    37.460812   367680     4224     3724        8    367917.54     14.45185 
+  230000    55.951257   367368     4119     3599       13    367869.51       14.455 
+  240000    75.178213   368018     4147     3657       13    367894.18     14.46405 
+  250000    95.924529   367836     4134     3602       14    367837.46     14.45092 
+  260000    114.19811   367484     4128     3666       14    367806.49     14.45255 
+  270000    133.07904   368101     4154     3671       16    367818.91    14.470971 
+  280000     152.5907   367642     4181     3700       13    367807.26      14.4642 
+  290000    170.76175   367533     4261     3751       11    367796.87    14.465844 
+  300000    189.73359   367245     4102     3599       21    367809.78     14.46151 
+Loop time of 189.734 on 128 procs for 100000 steps with 367245 particles
+
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.011718   | 4.5269     | 29.755     | 276.0 |  2.39
+Coll    | 0.12704    | 3.3781     | 27.037     | 243.5 |  1.78
+Sort    | 0.048679   | 0.74098    | 4.8153     | 113.0 |  0.39
+Comm    | 31.513     | 47.461     | 52.938     |  61.5 | 25.01
+Modify  | 1.7673     | 12.548     | 76.453     | 426.7 |  6.61
+Output  | 0.034077   | 0.035693   | 0.038845   |   0.6 |  0.02
+Other   |            | 121        |            |       | 63.80
+
+Particle moves    = 36780978286 (36.8B)
+Cells touched     = 38419527326 (38.4B)
+Particle comms    = 87992581 (88M)
+Boundary collides = 0 (0K)
+Boundary exits    = 8377729 (8.38M)
+SurfColl checks   = 98082527 (98.1M)
+SurfColl occurs   = 1446151 (1.45M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 488484168 (488M)
+Collide occurs    = 385390163 (385M)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+
+Particle-moves/CPUsec/proc: 1.5145e+06
+Particle-moves/step: 367810
+Cell-touches/particle/step: 1.04455
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00239234
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000227773
+Surface-checks/particle/step: 0.00266666
+Surface-collisions/particle/step: 3.93179e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0132809
+Collisions/particle/step: 0.010478
+Gas-reactions/particle/step: 0
+
+Particles: 2869.1 ave 20193 max 0 min
+Histogram: 84 16 4 12 2 5 1 2 0 2
+Cells:     379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Writing grid file ...
+  grid cells = 48572
+  CPU time = 0.00717874 secs
+Writing surface file ...
+  surf elements = 200
+  CPU time = 0.00154363 secs
+Processing  2  grid chunk(s).
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+
+Done in 0:00:08 (wall clock time)
+
+Processing  2  grid chunk(s).
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+
+Done in 0:00:07 (wall clock time)
+
+Processing SPARTA surface information.
+Processing dump result file:  ['./output/surf.300000.dat']

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/surf/Surf_300000.vtu

@@ -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="0.00112"              RangeMax="0.23849"              offset="4512"                />
+        <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.025826"             RangeMax="6.4264"               offset="6436"                />
+        <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.091684"            RangeMax="6.4256"               offset="8484"                />
+        <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-2.682"               RangeMax="2.674"                offset="10588"               />
+        <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00045486"          RangeMax="0.59261"              offset="12652"               />
+        <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.56246"             RangeMax="0.57418"              offset="14744"               />
+        <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.00059742"          RangeMax="0.10093"              offset="16864"               />
+        <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.033907"            RangeMax="0.033735"             offset="18996"               />
+        <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="6.3856"               RangeMax="2053.4"               offset="21136"               />
+        <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22560"               />
+        <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22612"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503"        RangeMax="0.50000001255"        offset="22664"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="23992"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="24896"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="25388"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAABABgAAGAYAAA==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AQAAAACAAABABgAAIwYAAA==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AQAAAACAAABABgAAKwYAAA==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AQAAAACAAABABgAAMwYAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0889_Kn0p40Ma5p8/surf/geom.surf

@@ -0,0 +1,610 @@
+# Surface element file written by SPARTA
+
+400 points
+200 lines
+
+Points
+
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+3    0.499753280182866  -0.0157053795390643
+4    0.499013364214136  -0.0313952597646568
+5    0.499013364214136  -0.0313952597646568
+6     0.49778098230154  -0.0470541566592573
+7     0.49778098230154  -0.0470541566592573
+8    0.496057350657239  -0.0626666167821523
+9    0.496057350657239  -0.0626666167821523
+10    0.493844170297569  -0.0782172325201156
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AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/Lambda/Lambda_300000.pvtu

@@ -0,0 +1,19 @@
+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/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/Kn0p40/simulation0890_Kn0p40Ma5p9/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 0.4
+variable   Ma equal 5.9
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    vo equal ${Ma}*${sos}
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    fnum ${Fnum}
+timestep    ${tstep}
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_grid    ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+balance_grid  rcb cell
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+create_particles air n 0
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+write_grid    grid/final-grid.dat
+write_surf    surf/geom.surf

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/cylinder.surf

@@ -0,0 +1,410 @@
+ surf file from Pointwise
+ 
+         200 points
+         200 lines
+ 
+ Points
+ 
+       1  0.5  0.0
+       2  0.499753280182866E+000 -0.157053795390643E-001
+       3  0.499013364214136E+000 -0.313952597646568E-001
+       4  0.497780982301540E+000 -0.470541566592573E-001
+       5  0.496057350657239E+000 -0.626666167821523E-001
+       6  0.493844170297569E+000 -0.782172325201156E-001
+       7  0.491143625364344E+000 -0.936906572928624E-001
+       8  0.487958380969374E+000 -0.109071620698271E+000
+       9  0.484291580564315E+000 -0.124344943582427E+000
+      10  0.480146842838471E+000 -0.139495553019615E+000
+      11  0.475528258147577E+000 -0.154508497187474E+000
+      12  0.470440384477113E+000 -0.169368960122646E+000
+      13  0.464888242944126E+000 -0.184062276342339E+000
+      14  0.458877312841991E+000 -0.198573945317390E+000
+      15  0.452413526233010E+000 -0.212889645782536E+000
+      16  0.445503262094184E+000 -0.226995249869774E+000
+      17  0.438153340021932E+000 -0.240876837050858E+000
+      18  0.430371013501972E+000 -0.254520707875186E+000
+      19  0.422163962751007E+000 -0.267913397489498E+000
+      20  0.413540287137281E+000 -0.281041688926065E+000
+      21  0.404508497187474E+000 -0.293892626146237E+000
+      22  0.395077506187845E+000 -0.306453526826488E+000
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CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/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/Kn0p40/simulation0890_Kn0p40Ma5p9/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/Kn0p40/simulation0890_Kn0p40Ma5p9/grid/Grid_1_300000.vtu

@@ -0,0 +1,35 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="1111"                 NumberOfCells="1000"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="101"                  RangeMax="11000"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.05"                 RangeMax="5.95"                 offset="2240"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.95"                RangeMax="4.95"                 offset="2388"                />
+        <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="17.758"               RangeMax="72.132"               offset="2928"                />
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+        <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="57848"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5"                    RangeMax="7.8102496759"         offset="57912"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="61464"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="67896"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="69744"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
+  <AppendedData encoding="base64">
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k3TWBn9tN5LHGRJ20TORTmeDhcYNxMGDXdwbrroF47zOAy48M4GOTgbq22EB+nzSA15Xl6979rxjQxxcM5G+5gbjONuBHrYH8TTSQn38a6FOGG3K/G7CHDOB3iCFJ17EJBvTp7wbxbaCu96Q9CQP87s77+hrISxcDehEzoKPXGOKm50hDAzg/obPPo53nc/0WvP+wjrx+okudS8vTOnT8qI46dkDHvh/rwPmbOuOjI47LdeqFznjoyN96rvOijvozX4cOT9flN6d8XDVFZ1x4/z906Phgnfks3+fVu7t01m8d+e2io7+9Qwc/u5ave3Ev6MCv6OwPdMTbec6TL12H/mZpX1RH3xHSUW+K9CutA6ftdeD0Zw3526tBX7dqwP+XGvqIYxrq20kNPPxYA0/e1hgPjTqlQd/maOj3FmjQ+2UadV0jvzXY97Am3dxAjOK+d2uow3do8rBbGHtorOca6k2Y+8/g9WEa5wyNfNJQTzto0K1G/L2pBv25XEM966TBb1ND3JtriOtZGnh9TMGO/yrWxfJ63nJfKOqngv3/UeD1ToX91yvweqtCH3JAQV+OqN/XH+4SarNC3l5W6F9WKcR1sUIdmqCozwo6/kb588x11E+FenmPQp4fU9CHsQo4GanY/9POVxXisVAxjorzoYLeDleSdQk4jnZPVsDVnQo6erUC7wMKffYDXP9+Rb4r8GuoAg9HKMR5iKLOlT+9OFUo1JfrFXWf9t2qyH8lXrmrZLzbKfRB7bjOJYp5VcDpxfT7swrEeQDtdtb1+nXHDugL7Q8p4oF5aKmAm0MVnCsqkPd1FdRzBR7b3O8mBT3tqsgrBZyfz/wF+enY6Zn/fQX7sArUl2w5j2fW8/owZx/oIf2Wsn3e/Pa/CvaJCny6TKGODmBe/Qr9dEGJ13b2UqzTCvx04ufpVAfG43KF+uGse8Z/T69rFXTIwZXXV95ajpfH2wriuUqxH1LQfycfni7rCuu0Vr/nw4vPQOJ/GvExVaGPHE8ejFHQ94HluHjxDyvWdeLsY8V+XUHfHdx7cR1P//opxKmkoPcR8jqu0M/fSpyX+P1zBV3/iXlYQ5y+yH1nEZ+jy3jH/ER/7iVPHV549fNiDbj+lrqykTrwMuO9T2EO/4x+7ma8nH0xJ9PPGdSTFPU2o6FfcL577l2jAc+nuP8p2n2UedhBXJwgD14ivwZq4FcvDfi9TcN8cIPGOlP+RJ+vkb8a7GumARefUz9ma4j3ZA3nFhM15P3Rch04892rD3/T2Bdo5IMGHDt6jjxonCs09jsa5tRDGnR4pcY+RaPulesP8KUxTxrw0EBHHs7VwY/zdPDjtAa+d9DJM51zpA59+l7D+ccpDXX1FOvibPYVS3TwdarOOVmHbvTlfk5d99bvp1NfWcd78/krdc7TrP8rdeBxoQ58On2Il6d/6ZhnX2Af8bgOXb9fJy511IMn2I80KfdNXl5/0lFPP2Vf8p6OeG5mn/Ad43JQR54/oT9r2e8YBvr8uAH/Awb7Z4NzowGetTUYL/ZBR3TkoR7vd75jfjE4vxo8j2J/6Hz3+o9u7DOdfVAvyt89/lxm8PzEAN7qDMR3qYF+YZUB3D7D/rOW9i/ifk4/DFwa7FcM6NsMg/pggle3mJxTTejcTwbP+UzoVX327+eY6Es+M6Cjm9k/rzF+nyO8vK0wwdO5Ju0yocOjTeq4yXNPE34VOHfonC9amuyjyvMP5jEfr/uAi+Mmz1tN8H+1iT7FmWM8HNRyTqmlHa39mJ9OcI7a5UO8X/Oh35zqox77yFMf8Kr5wNOOPuhLc85PjQLA9wY/dcGPvryXH/gI+YkXP+a34z7OLz7i3MfzBB/rF+flHQH0AaMCiH8iAH9+9YOH2/zUZT/rvx/3ix/9U2Pe90MQ/d+CIHkaBM/acI7fH0C9WBRAv3t3ADjJBdh/BKir3OfbEOrfshD72BD8uDAE/rwSpO4Gec4RhL40CyLPB7ne6gD1pJJ1upI8DLMfC/McJoy8bwyx3wqhH7soxHPrIPHE84KGUcR7ZAR6Xz/CvryS828l8PBpGHh4MAz8xMPERQh6MisE+64Q5ivKuYbvGc6Kgn9DI5wjKjHfPFLJ+ZrnM3Vh3D8qTB7FaLeAL72FPBeev0Y5V0XZn0cZrwj6sooI9HlPJefDOPD6bgx6fl8MdbxjDPz8VKCTcwT4sATxuYDnXq/yfKtjFHpeLwEeLIojz7k48HAyxn4+BlzUxMCL9jHkbaugPk4QngMI4tIiCf19LgH9thOYd4/H+f4ljvpvxjGHnIhx/qL9j8bgdyyGc+d2KZ4nJulPEv3ivgTwOyWBfXWej+6IA/dDee54XRz+fxfD/sN4jnsshfyOSgEPV6SAu1VJ6HfXJPJ5KkFdTaAvyySgH9/Ekb+FGei7lmFfnYYd3dK4/6sUcZdCPM5OgY/LkzyfSoL/XyYwt7bJEVdZ5PVEBrgckoH+nEhjjp+cRr4CadY9xqkmBVw3SoE/NXnEeVcOz/0lB73YnUU9sLOc8zLAZyQDvmzmuffNaZ5rpYHPLwrggVnAHD83jzg2y7OvzqGP/kMOcZ2axbptszyHyKD+XJoBridW8xyD7zu0Ks5pfN/xfZ7nz3noyZ4czxNy4MPeLOr7A1nodJzvk6YU+T6jGn4Eq4GXhVVY73QBdbNvAbpdl6cu5ImDHPDWw2LcS8hHtoTvs4rI4+lqxKdnNXi/ogp19KIq4PyRAu47nGd+bTz/Dt9n3W6Bx3+0+H6wBN19r8g4833WsmrUjfrVwPOgKnxutJHXh23w+nob8d1uYc4abwF3FRb6/+f4vuu3Injft4h1t59Zn+/zjvG92QYb+LyXdrcq2+/x7BEL18O0/+MSz/dKwNWXFt8D8X3i/2yct57TBfHaxfd8E2zW3fL7Om/daRZ0PsM8dCxwPqLdcy3sV2MDH9tt9tU2rtfZeH6yjTjk+N70lEX9S4Kfv6aBl6l54OnSIu7rbyGeBRu/1zHOX9vg+WYbejST72EXUBcdfcaclWAflEb+T+fQt97H94ttLOhRaxs6udSG/n9ocx5m/Xkryvd7AruHxMBHlUB/uCkFPWmbQ3zn8X3jvBLw/aMl/weRtYF7AQAAAACAAABAHwAAlRwAAA==eJxFWXk81FHXn2EwtjEqkSItNLZQSJvUPZUWmRaZokgSIlpE2UZJ2lWKbE1Ck8iSNIVMkVTKkpg2SZSKmg2DmfHe930+z+uv87n3nvP9nnPu/d17zgxzVsURl14p4upOlq2NlaEk7XPOtxLkiK6C5EkLCcAxB8eSF0SQtHCmbDYkgS9xY+eb+SrQm7XQLumcGljMesXXZmpC/dkJu1j5WkArerOMrjyGbANtpgrPEKBY7QrPa5kC+Pvs6VnbTAJrcru+hSEZpAm5fs1H1YETAVEqjhQIEmo2N0+gQpZnbuzYBSp0aJbM9a+gQvc2mPEpXQF4txhPWduUgMXP+9tSQQammd9zR30NKDs90c60iAKTdj/eznCggonzY8sRNhVoV41Kpz+jwqr7Tyj0PCqkDcr3GR2lQqritJh+V1WwZZPDp9/XAGniOv6ODVrwN3jPE09/Khw/G3xbXEOFc0ta/QlNVMj+3HF+0n0q5AuNPzEiqTBvRf0dLScq8KIaH77u0wLONLt/x4u0YKSjV/lQAhXqOz01FjZTYcKAznn1r1SwTgjsM6qkQt9+jukHzL++wqrnpw32Y+yX7O1nLciwvLvJxFkLyFM1j6cXUMBkVpX+w49UqNvidyztExXo7Z9anO5SIYmzoXB4DxUmvzcQcqdTgV3oHr2nTAtSr3Ss+aSjBcXv79uw91PAWcK97PBBEzg5fV8WO2qCfbNZmkspFXyp/RHDflRoKSXqBhlQgRPGGLJJ0wJCQbYFe5gCPN2QTS/dKRC1Y5XG2wea4JA/I3CFoSZwM775zQ3UgHrpzI+St+pA+x3PLzWkgkWPBu3reS1IWuRsrPAd21l+7YyeQwHIjE/xO6EJetbivJoWDWjoZrf0mGtAk6TNQuW0OrBsX6rdo6pDvPaUoz34/DArlzdXXKdALVe998mYJmx5wp7StVkTepOzd70s14BzU9RMVwvUgXxkzasPdHxeJmi3PHmiBr0XqZv3OqpB4lr4sYajChYdrRf5TqrQF0XbXj4R83t7tEzcpQHdhxfkbylSh+TAmY97VdTB+83DuNdMNUitX7soiagGlTOZPrXnVaHV+PkSPTVVMHIdO56YQIYtB+yMT0tUwFPKkzteUAc9qxk+0b1qMG1HV3nrZjWovXon7t1bVeAHH/w2y1MV2Dq6hk4tZCgovxAWZU+G2TqH+1UeqYBFzX76YWcVcLCe37ifpww8r5q/z6arweyQwEUyzOtJD5ScJahC0Pup6TWRZLDYrzbh2x8VINGS5uQcVgFx2O4OAUUFktsPBRhnKQOjjSyeMVsZyqySsuyrlWCSioNucy0ZyJv3DBkvwfzbCm6VVKkAe1ZwxUx7FSg4uUXpRxXm3WGwx36dMnQvTf2h06oERicdOSc8lUCqO6NbTUyCnKybWXevk6C78uyqDeEqsGRp+ccsRRWoPNdzzpypDPG+7ZZ9k5TB3+PxtW03lCDpZ8gXgrES8E4qyzZU4e/6BeuESTAJpJeO233D90QG83OV1QNFYDXH9SyyUwZqg59RZ60SxE/wOjwX83Yu4Jq2fySB5Nu30cggEui9VpbUzCRBkEu7j2aLIkx6XDszIkARcgqGFl+QKcCSDsvY1eUKULlcb6bXMAlm2xjR3jBJQBo8fvCFNgksmgRs6jNFkG7LPLLtsCJUmpR2dREUgbkt2GfdLQXQeCrdsmyzAhSE1jVO0lQA8tmqoOLXREj+su5QU48idAdZvJkeoQie5+IWzDNUhMNfYom05wqQcyE3fMkuBaD9cbcbJisA9yJEpjwmwuw4obvclwh6rmPTds0iQmJK5mr2FwIYMQvuzOhWADbl68mNJxUgSVIyxrHAfoe7u29vxHq0PMrXg0RoqO8imcwlgvXqjx23vxKgsl76ujmTABbxG4dldAL4Tyl5rEkigING1MPDH4jw2Ttqc/ZJInievSf8M58ItfUhvaM9BPBVOuHdl0eAVm77eb3tBIj6a+ukpkOApn8TshIyx1AnkeL4YfoYYvQvuR97R45SC91LJv8lQNnagOQHGQSgPT/1JQTzNek1HusZHkMso/TdRnvGEHdu1cG7v+Qo8eieyRvD5ajzq7Ro34AM9d4+o0m5IkP+5p1lyhYyVLwypuhhzRjin4nJtzAdQ7zrGxa0Z8lR0xOeJX+2HBFezii4f1eG9AjnIw+BDEn2NVQ9+S1F/A6tnKPpUsS2vMT7YSJFhBBzrydto6j3a0jD1aVy5KQSzljwFds9lQaP7JUho1sGdS0TZYhlcij4dYEU+ct9KeeWSxGHIA3kNoyiiO3bW329R1Hiasauw5NGEZNFdhkuH0FOe1cWtY9KkZ6KwyvfI1jW9gob1aWI8YrR+Tp5FPmfsI4IsRhF3PwFJO23I4gZ1OV+Pm0EMX62e7WvGkHOn09RjgwOI/YD5xc3Hgyj0ABq2m6/UUTea9RbrIDtPGMmhdwaQZLcV5XvN4wgb5lh4VQtjHPe6GbZR6z/SeSuEDaMmF3xX1cvGEbFo4PLbDWGET/gvi75rQSldn2xrcP69Fi9be+fD6Okd8vtDx3FdoduB5stGUadFStTDwxKEHNjlJ52tgRJcobCL/pKkANLtj7GUoIYVc6O8wgSRLVLcJX/HEJsht9AK7bzPv578tiwBBHmlV1qvS9B9OOkjvwACXI+fukpc4YEWVu2Wob0DSH+35i4P5wh1PRM7R4ldQiF5o0Y0PcPoSR7qfavhUNIz254H81agvxPruHIe4ZQfTP3kGbWEGImXri8yWcIOdc3GPyxwvY5nF+Vo4NIcqhKZfjPIHK22O54++MgcurfOolUPoia/pZqodRB5J9u8EvPbwj5c/WlHrZDyPp8dryW6hByaNd6Ud0/iEJ1hFunfBhE7Lozv9yrBlGiH99Ii4lxDJ4s2wKDyPrR2h9IdRBRz7dN2Ns7gIz8qx0i8gdR6j/v8z6nB1Hvofa3OR7Y7lX08tdmg4j1+Y9s9cAAIoRPuyNpx/r3RpK7OANIT+rkvz19ANG/jf0jZeB57+W5ThcGkPW+S4M3OwZQasCzDocyPM6fQZpaMYB6Fwu1DErwWHGlxqtcLBsNdXeeHkBOKdMvmYUMIK5plv76rQOI53ajWT53AJFvLZjjboT14vbMqdw5gNhklai8pQOo3nhT8HbqAPI+ey83tkeMaPMXTuX/EaMkjWA+EolRk5vFg9YfYmSUPuFX5mcxolrYhTO/YXmSEWvVIEbWjpPpc8R4vdGhQ3VYjHirjvx73ylG5GORayU1YuQcFjf95zkxYt0tOV8SJUbs8gvPeuPFKLS5cZEjluyM0RelR8SI4B02PzUY64WfTV3pLUbFpSt0hhzFiJ+4rj17oRj1liSntLuMr9N0fm7NcsX8yjaXbqzBetkdzbzVYuQPE2cM24oR88mbFy4OYuS0vFdzI02MHGq2tNnOESPvy9vEobpi1MmQH5TrY/us7rwXVGxnxjSpMcEy096UPV2MUsvZp5PFIuQQlv7jslSEaC0psao9IkQde9SkNCRCSZvY6+8RxYh7wylbWSRCxacTHFK78Hx4rpegUYTq08XiSYV4nJF90DZLhBg7uV0fS0WIY6F7YqhEhHqNzjWxOCLU+S0xT3ZFhLyJGy0XHcfrE+ITn94SIevlCu+lKSIUQXZrvnMO479j7jSMFSEnHxP3CH8R4opzOq+7ipC/jXlYGUOEmvivXVs2ihBvlB2vuh3P81SClfZjnqFG0XJPEQq9al6atk6EJNVNwZQVIsT2dl+m5ShCzkoPb7YvECGji+/Prp2H/Vi3bjPXEOs/pj3/MgXzTQre27YUx5NiZz6M53vfTtT9PiZEqdLvPXIFEeKLTqyiTxYh1rFwg6kkEaJPlf+dSsDjfksjgkyIOC5uDYZCIeq07+9O4guR/1XO1VBF7G9hVMTSn0LE0HA2NRgRot4y5rRCAcZ1U/lb2C9EzOOmy/IxjzN1xuPuISGSRMVdO9qO5dz6vPYCIaLz7umeuipEDs35h3TPYp6Srr6PGRhPZrhafFeI2J6pYaIiIeJHUY65XhQiMr2PtjlaiGg3d2gdChIiPb3+7Om7hShp1b5/290xXqiPZZEnto9c5vPDV4gifiC0xEeIWLSx3TvWYbxzYyzkiP15wibMWSZExfyxL6Y2QkSw/6EtMsF6LtIjrCnYbm3zbokGjjeKtnxULkBOPwVcj81CRF3Pity1APtvpvqlwhDHV++bPokiRDx3jvaFXgHicM4vbngrQE3znLuMWgSo3uNSttsPAbK2ex5+p1+A6I89N9sNC5CEbSopbBcgvZG0jjd1ApSaV+BjXClAZPeUcCjC6xeuycJfCpCRUsREpUYBYk7wepqWL0C9UJ6VmSFAEcmvT8fcESB/dQ8DcxbGDdeMYl3A88ccLjqnYz4nq6TyQgFi65xpXfFwHJ9DX75RfBXjUJPu2DAFiPFJ81FCHI5vNVdXGoJ5n8ho9e7Yr4XmfatuCVDn9FUh1gnj8r/rvOnvNik7Yh7ZV84MhP1TtP96wBPrATp+aAuWD4fjGS4CRJjrH1Ohhu00HuoFHsf+WjOs9+/HcV1QWE1yxn5rPb1U7yZANI1rMUZrsH8edwOIWwUoMe7l5As7MO6Kur7fDjiOGu2pJ+V8RDW72C/SwPmtaNExWof9pIZo9a7CeX6V+MlwI+Y1Kz61FI8lOYFzL2M8Wuz6OKUVGEesIXOmjEs23UOPpYTzPb2UU0kSIG6uXkHJIuzXT2PX+/MwP0NzkRVRgLxPk6eJqNjvd2E7bw3w/1+y78QYufL5iGe2dN9E7JfDV4L2yF/s34VplOKHfJRaybyybMk4rrevumox9oP6kPebMgnzmJR7WmjheekTQ56qAPFl+vq6fXxENpvW/LIW45Hks5ZW8RFHdX4xysR42f2pqnMFqFhBZyVtFt6/wwav+s0wvnxxmbexADn7H4h2kfARfRmtSq+bj4o9HFzaNfE+UfNDv/zjo0Q+19W9no+cNuzz67/JRxFJGlyfqXjfg6rMljmO41lvVXzaZInjnxJtUT4brxuSFmdOHPePv9VxZl0bHyVlH4v62sNH9Tcb5NViPmq6uWzqbxxvqKTnPBXvD0e0M9bUAOdt8TPnSOw3TRaUMTSC41h0854Nzh/9B+lBwDAfsTi2P1wG+cjoScDBLW3j8Ts7qG2SBeDzkaF28Ts+V5y0xeHH8L5IilpX3cD5omau5PPw/nEPCMtXGgpQ0u7f+/1Ux8+J0fUgL20yjkuj+auOcHw/Qt/1HnuzFNvXEd8s8MHn89XHHWNeOD6nQMFdfO6anKdNXLwJn4tT8uxkrMekzReW/W+e3b0qtfA5IIwsP+2K9/m/3x3j9s8a/T2Y1yt+pH4zjtPE9OhW/H0Qombs32GH8+eQYvduBh5XlES2aWN/3ji1ZOhg3AdR/xpt8P78KdiRNmP8e3bguT0jV+G4f9fEnDyF/YhKPnMqGp8T48hRez8cv02ZeSF9/Lz736LM37wX20Ue4i8F/J23TbwQthb7Sy8LNuzA56x5o+H1UryvGqrpay+Nf/es6N3Z/NvjMkLl+Lnd2Vj/ROrcIczrv/aPWU4UznuYo+8CXyyNPhrnqOB7dsEKzXmqQmQUXCv7jMfORbGGcj72J21G8dtneB8e+NBmY0l/XrdvxSOc12dr2h5l4u80eOO30mqcp8KlvwNjsN7/9S8Yr8NQ6QS+R3srzPdlzcL3/HQLdvxkIUq02MMbIYzL1AfvYYOaEIWW5tvkyTCu2TXupTaMW3f41y58LzJ2Fewt3or94S0e9XTBuBY88ew1QlSvnRLViCU1bds+RfwOeD8vyLn2v+N5mnHmppivICz3hoEQNaUlN0gwPn3XwnUJ+D6nXRMN7sHvU5N55hUrFrb76x83kIvfJ0eL3wO38Dw9Le/gfjy2UiS/ccPvl+vrC6qA45gV4XYEvz+E+BvEqxvxeqIJNcoJ4xUnCNIfY72CQu/WSpy/6iUP07jYz5A5DY/uC5G1j5PhbB5er3PyUHuN+a6uPLqqAr93Wbl6A7cxDqO627wU41f/tn1cgt+nhLC+9JX4nTfZ4BRNFyE98/cbfJfh936XUtVcK/wuj9r5f9Uef9c7hzzbdSfheiK04rilHa5P4iKfnqHg8eqx3LeYlzD2LqXED9dHHjPvk3difa87T/+tx/VFcrRtJK5DWNbRQ8l7cR3hfMVzBR6Tre59Ncf1hORsfkS2MZ4f+RDEwrwcz5h7q53wuFtpSULReN2kt+WSeU06xvG91UeIx3Zp77a/PoTrMrmx/uUwXG8UKJdvuorXY+x/2l8WodQfWg+6cR2ViDQ2eOzDdcuvwu7ydlzfbCE593/HdZR0yeLoT1j/UMNb0xZcZ93ZUN3ahOXFitqsZ9jvyTumnL6J6zWztP7917C/B2Xl3Ns4H1+KdOzxmPn91cckZTGqX7C3laGA68jZvOjLcpyPAKrtEkVcP7pGL1QewH6vmTOxHPM4z1L1M20d5039lJvRjnm4HU1FsbhOTDyj/0/dF9ehR39eiV+BcVcllcfRcT08oRIN4nGvGudGAq5j2bZFXz4uxXXvfjUvl0W47rwXEG+1HNfZSa6REwDX37stzSbPE6OIy6Vr/v0To0RiUoUGruPZ4fKyEDaug4f6f746i+viw+9uvkjH+PfmzlqUiuv4fLfLB9NwXW3on3QtDOOGfDhSjv3hVx5ooGzFfEcShfG4j+AOhBt3LsR9S2l/n5sJ7ivq3Vq/zxlAHFNz+QwK7iNiwsJUR3Ecs0+4CXAfwQwIOP34E5bPzl0KqBMjvRVRtbV3ME+A3aiPdLz/6e16q7K/bgCFric1b78+gBzmT98CUQOoc3GsSOiP+5KywOMdy/G66oPh57iPYX2/tn4h5g2N2ifNx5JWahFJu4j7rYpFqYNBg4hWde2KnesgYvDT/7rPG0T0ktTaMk3c72kJGIE8jCuIfxPUMID8FVIu5ON+irM6+tmhfIyzz/Bj+DXMl//unm4Q7gM3TAi/ZoH7SxPjUtbIIIo4Krwy9noQJc1b6vzmLu4bdWIX/UvC/V8InVuFeYsPn1xfu34Qdeovz39NG0TcyMmtqlp4PvBvhOyIBCUetIzxMZMgziurvhefhhB98rDpw2zc357bO0vfewhxM+f4hOP+lu0c+HYPaQgR1h1eXds+iJg1Xm1FxbjfPKlmZhGN8Ys/xfra4/79nYfM8Bfu13tePkrH/TS1YHTq2H4JMnJqY3k5SBBLu2fByOgQMpIlvHz1ZghFnPu4DNhDyGmbT/1Q1BBiTCiMeu6J4yxOcK8xGEFM/cCsxm/DiFYRvTnv6jBixRU9UN04jKjFj3v0ZRLE9bjbSHskQaEzrMqCTuA4ludy6n1wv1/aYWzshPv6U3pNe6kSJMnuWEC4O4oiTGy/StAoYvve2kT7OYLoEcFq3VdGUO+dWy6Z60cQL2uzdLF0GIU2nV42UIbl7Tc+1xjDiFsz9IggHOerd3jhk6EiQ/Ub0q+Un5IiRll8UckkKeLlJ227mDeKQtms259XjKJ6xbe03wTMF6K5z+425nso090ROoKSUkOFOuYjiLXvU/y/JhyfqdUlExs5cuhSNn1VL0OM2a6WTwNkiHBpSb85UYYktOgfpkwp7oPrfPuVpcgp0Ma28MYoItOSPi4wGUX0m6Y/V/BHECPzy8KN+SMo9SCLUPZ+DEU0lnu3WY4hepdXjPNNOfKOy5labiZHHLuBnIPvZIjf7uuWiHmo53d7+irKEH1/m73BExyPguONzcukyHmo30X4dxQx8zZr3v5OgGmzMwNUcwjAzE5GZ90IELXrz4p/mgRIFF8vCD6H+dKT9gVqjyHJjiNGnxPkqJcU/JWnLkdNuwY9jAtkyOmBPOuoCY5vR39mcj0RWDq6HL0QIqzvzT/rM40IFvuj6783EcCzc4JNbBIBgrZvr7izjgCVC8SkdDIBJLqLaw9EjCHrhPjYqUI5otc3nJhwRY6kMzgPm18qwJJGUqahvwLwcg8QrScqwKR7p57PriZi/2KnHNpKhNRv0XnH1YhAK7pf4IZ5xIUVm6OyCFAW4ndbEkiAvpaVa6/OJkBr7Fwnaq0iMFxTCKW+isDtiZSHEhXBu/V9QnWKAnCyH6mVblCAKJ8np+wkRDhnZ6qvlUUE5/A0ryOriJAxUV47oEgEPRPkpPCCAJ0nj045qqQETRahvLAzJOD2D19iG5Cgs/LslcfPFaH1Jc3vmrciOMw9v7JLURH+8y4qQGdut8F2DwXwbppcdUtVAZg32E8elBChjLE+8upUZQh66p3v8EAJWDnKy7hrlYChOXX/7m4SFPRSvnnEkIDKNa05p08Chw80FdfbivCfvlwRIn4raDL4GK9h1h7rDAWYZpX8emKsCjAad+RaC5Uh4xipLD5YGTpLxdWif0pQUOkXOydGCZyPOv1SmKoEOUdzzvq/JgE912Pvrt0kSM6q2OOuSgJfSqtDYKEidNYVFceUk0FDkq4XM5cMPCKFV1KpAkbDL8buLVOBRI8EsgIX++/QdmThkvHf6cv6nF7c3KIEzBPSE/xfJDhcW73O4SYJGq5Oy5JNVoPPP26vexmmCvVzJIM/uslQdvxTxiIfMjDHFL02/1KBJmJ6xanDKuAUYj+sLVMG23+n37YkKUNozdFMDyNl8M3gH3udpQTePrETDHPUocH12/IrZHWoZBtq//VRA9t3X65ovlQFf/9XDqL5qpDouc3FOZ8MHL/s1+o2ZEjUWVeQUqICrT27fjOQCoRandzo+lMZxM5hcYeXaUKUW33Etesa4By/YJ3moDpoPPP8fpyhDk1TdI7MfakGxUlPmhKs1MAB/lYPZ6kC7wDP7am2KrTWdwW6XCID/4zA24pCBt8TVZQPVynAoERK835pwrTqrSnElZrQGTJvnidLA6wdb12fraUB3K5pNakR6uD/syrVvF0NvPfsSxGtVgOLeoJXG1cVZq+6tyPLRhW80w1OCBSoEH/YO4vhrwV6uraCd/cowK4o1HfWo0DnBnGvrbcmWOxMtw15qwFRj9yubwIN8Gz/9Ge0Wh1smwQUB2N1cD41q6nruhrkfDo7M/UmFSjrjbJTdlKhM9JNWjaJCt2/rtjXRWlBpXTJFgc+BcT23vpHXCiQKKrbOydbE2jHWpWyxjQgh5930y8Y5ykwh97+E+cp6Vk3+yMVDj+b8uxuAxVKbUyVpDeosPOScpv3FipsyVqqQ5Rr/b//oZ7nl7/oo0DZsd+bCLsowJorICi+xHnSO3aj2EoTGLeJ7jrpOE6bQobWKSokqm1Ze76NCvO89ffv+kyFtJ3rtkpKqPB4degmJ38cxyunqtO64//X8V9SOLlK2L7op7I0jALMqlMNpABVCM0tm6lyQwMSUx5+zJ6oBfpdLBl/LRWO+cnCTxXi+MdcWnvqMI5RLW95HhWk9PVZn4KpwH1oObHYggrehzbEvKvTgqjlTEcKB3/XdwiBzXFKwJ029VnRZzJ46pvXJJlpgC9YEr0fUcB/b2B+0VwqiBcpbUzJpULLjkwej4vz8+Sggu5tLL+H6GwPw7iLA6rXTRtDfZUHpkTi+1mycF51dxC+p/6vDlIC//rUi1foZEhl7coOv6gOzD62VJ1GAVr5ztFV+Fy0Ui5FP46nAtNRZVZjPhX8hx5Vp2nh+/pRlf/VMhkKTTdwdXopRxkbGsmbN+H7sTSObzdIBHJtWGiMNwkqvZeaD+H7I/7ont1Vz9Vg9vqJJauSNSGJ++OdOUcL/gcEfBMbAQAAAACAAABAHwAAVhwAAA==eJxFWXk8ldv3TklUKlOaFA1kqkiT4anc0CgyFCLlmioVKUUlUSiNiJK5gUqDnPdMDmcwj2ckoSRzUpRwo37v5/e53+uv9Vl77/Wstfd+91rPOsdmnkWAcjQXmvsLfJb1cLHJKc6MfoeHu3Vqe1JqivBk4O2m7dUlMDX++mNSdTlih/rfOnKqobLtfcA8GQFyul0/BPUIId504riqtRjzzmZ0c9p4YAxODxxdWwyVeRGCFK9S2L171eKaWwGk2mSPfqkBlD8/2pQiwEqWONzxbxG8GszPdj4QQyar3XmjqQTPsxxbtU5JEBTzwVG7uRRj7WMjhw5Wwmr+8ItZtFoUHM8/PXGyEC3/fDXvfS5CRe+H82rVYlicHLod5SrBnPztXQXnJbBePzo4x1kCY0rVdTV1Em/pPrmZJnzoOCsLpnoLEXwwI/uLohg5ET2/M6dKkBEYmTn/ogRjY/4fb9+UAIeLE64cluDXCx/6pCUS7Fm7x+13nRiEu2RB2BkxtvRVxhnZirF+omTBKgMJ0jk3DVfcluCFdv2L9gwJzG3XWC46LUGt67N+ZQ0JOryu9b0tEqPm5aethsfE2NlulfxjhhiergOBRs9EaOp2s7VJlkDDcuzFhRQJZPxiWcfcJVB5fcwxYwqpF1Yqx+SIQUnSYtjai5HBVa7I6BMhLtx35Gy4CI1Bx5pzl4gQcp6ma8EWIovTsfqmrwQGnb2remUl8Pu8++jVp2KYNRWk3/5LDPlq/frEJhGGy85nfAgUwVBhRuDX6SJEDOZN4D0TInYVJc1hvRAu+xcFVIkF6I7aZWz+XIyWT3LRqSZibO3VGJtbI8LhprLsegcRovrepSX3CuG/Yt9ExxAhlDKP6v49SwjVp8kxPU8EkHpZZiN0FqBoNPmoLfn96KxZ4qiYKsKrlTEzPE1FkFPzjDeuESJP0TbG21eIhTXu/rU9ApQkvlwyEC7ALJrtzjWaAlxpC388KOLj/Nb5fd/P85Fy49FiTwM+/JxSLP48FELB7Py2aEMhlKMaN4WxBXCMP3Faw0GAje/L+MG/+ShaZjyn5Tkfx5dKyb44xMfUnUTa1hl87OysCyg5WYtJuSKtZ6wazGxPXO78TIDO+9O5/ZsE8OSfmJ33kQ9zba2ygBg+Rs31H7Wb87FY28a3XlyLTM/2herytViXI+1rdbQGsROqBUON1Rg7JtbatbMap21T21ez+bD63RJRTvqVqnwv1JYl4/7VPVHWqxb35Z+O3sypQeO9As8A5RoUx6xeP+dONbhnzuU4S1WDed4hUNqzCh4by/WvfKrEjok+rtm8WgyYu2z3U64FPc2UrRRQA71Kv7B9RdWYIOHJLdepRoAsnyefUAWlUQ91t9+VeCim3ZTzrETn24Aq2Q8VKBQqjSocqYBITJdqVa3BcqHVx/Ph1SiIMpDRaKyCc8qqnLO2VdD8FCagMSrBvtj48IdaJTh2cWW1iRXwXfgpeMCgAtsdVrRmkXlCMb/H5ptFOR6rUH9+Dq5C7oKNTqKeSlj4bXiQ9HclPJsOnEsqqMCz3W2xs0m7GcHee+4Jy5GlHaSqeqQcpsH+zh/aylAeaKAc61yGkoBVIap/SlFv7Svd1V6BHf0b723bQcYbX1zelV+O6BA731eO5Thb3cya9r0MoRd0E967lcFm8R0zUUcpstLSuvUuluJEVPNSQ81SzKsUPPUXluDaqGjNsYhy3MBeo+KhMgTarbM9GVGG0h6JtZFiGUzvRjatvUPmn5dtjKkapbgY+mqFXX4J1otls+9alyD85XkTn3+K4ZI74qGYXozEIreKvg1lSL4Q+eAQuxR/VnlGllmTdlHXtH7UlUBt9qoMX/cSKO7WeeQqW4K4hT/nPM4sxirLZ6837S7GjXk/Ol70FsHU5Pzijugi2DhteCrfVoJPuTM6Tp8pgbteGv/pzBKkVxzWrX1WDCP9+e4NzsXYTFly88JwEbRE7x9WpxbhG2N+i9CiCIaCazOUB3nYMH1NjkU2D1Eh+/+oEcXw2O/XXLirGKF/8kbkSH/+bDntjxeLoLrgxoQojSJoLjCdtF3Igzfvo+PMaB5O+Dnw89fw0KWg//veTy5KW6PCT+Vx4TmNoabqVoS/z4QfUP3Fw/a7OOWVwUPJnGf7TOx5yJiYsPKCDA/CRauZi4u4qKKab6q6ysVet3K5zr1cVM43iNaV58LqyRnP9AYO+A4Ot7o8eLjkpX3SSYuHkCuxSzvecbFA3m3j2kdcjDbTixQ8uBi44ZS0eCEXXjs587xFHFi3akiLrnPgsbk9arsrB0v8hve5a3DACT8pxY7n4tvyw3SrTVxYbI4OL/nFwRflNyuuvuRghuqs6uijHLC12l7+s5KDDzzbo4tmciC4u//6+gY2xiQeHu2P2JB6pqZueo6NhxEPYl/dJu1mrBF32XKQO6miPE+ZA4vjDkMH3rNBLamOK6ewMSfO9LBiHBuU1Ql15XvYiJevsbfUZUPrklHInZls7O6un2ZeWwiv4Os3JhBsJM6s/cK5wob1FKXQSgc2muPkhi6sYONea6RCshSJO+mx/++7hRAvjD3oubUQqRdOnYiUKsS1XxayMaUFqOs6EZOaVQDT0aieXtJuSVJR1cgkNtwPyzRycgrhqT/1cZ11ISwGrxoqDBQga3l3t9GLAkSNbDk+62gB9L1D149sLkDtl21226YX4NvXx/1by1lIoJ+YPiRdiAfnAuunPS5A47PAvXnbCiCqfC+7eYyFWiHNxyufhX6xyhSvsyyEvXu9Z60nC+sa+U0t1iyU1d9eOUudhaJOy6i6kXx0mu4L/UeqABmKBuQ1sFD6a0wx7ioL+z+sUN7vzQLTTDRDexeJR49YEK7NwkyJ//Sed/mYMtjIOn0jH27nig/5m+dDuuePrvOcfFRRNNunKLAQsOTgi28d+UgTGB6Y+zwfQc3RF//2y0dIts+Wedr5qFdPvmU9KR97Y+3nuzYykTs12vs2hYkTDZHWfgQTxjvUdwseMmFudPtu+7R8LOvdX+EkYeKbF5/n9p6J2m2txucETBje/PnpI5eJp6bZU91TmGCy6hs+nGPCqmlSkKorE5fWbjf21WHiRsMnu35VJq7/CITYmwnxPyuVd5sxwQ6a8NxuEhNbynb2OlUxYBvI+X1JzECwY97nwWYG2J7bGQo1DKRu3W+wksOA4KvdJcNSBpTmBGdQnjGQEGNYsvEDA2WrdVT/aifHNRySHEsY0POOqvFKZ8BxRQ//pzMDyz0j13y2YGDW7LNyxjYMvH4xolK1m4EQ9TuzV4GBoA2LfRIMGUhTNN7vq8FA55xBg7afdAxn/B6R/kbHhuZ30yrkxudPbqtnu05noES6NT1DmoGYxPbeGRNJ/ZdMtlQPHecmS+nt6qMjJ1Mt4mUDHbf8UrM939LBnZYvVcajo/7cmjNhZXQQB6y+pjDpMJBRJ4bq6ZBdql8eUUPHCvl/VNQS6AhcdqS5IZ0OtWAVB5dwOjS3Dr6OuU+HtFGrxo4sOnKPj1p5xtNx+fG9504X6SiUY/rs9KFDZ9rIuXQTOt5aKmUyl9NxtutYVp85Hcy5JziKpCwtbhOZbKdjH/eR5pH5dLx0sWA9kSbH8+Ua76+ko+p+yq076nSsbMndMKxArqNX6FdMoOPCs4CTk9poeHZokVo1j4aX225WetbSsGVtUnFNCQ26nTH31AQ0+Gn4PmvtoaGIIWu+SEzD+quabx4V0CAxWaeQmkvDQQ88CcqhwYFaHmf9iAaZd3a+Uik0XDp2GnMu02BbeuGLcigNE0cL3siR6z5KBg2ukOOHtubkx7nSoLrnycaWgzSYOk4OcgmmwShq2Twdj/H5aY8N9alONOgxLFjDO2h4tWDr103bx+121ezbZQwalI6su23lSEP1npLyq+Q65+DqAx6WNEz6qF+uSeKEJDC7LOxoCD166tEDbRo8lm5umPWdigqrnnXHJFRs551jqpVREcd1NTj5ngrLPu7vkn4q6CVMn76fVBQknVpmUU0FUR1fpkRQoZ38ZsP9NCpKrIsSYuOoqNRz2nXtMhWMjN2XD8dQkW632Yl+l4rsOZasbbFUnMg8NlPlNBXDnyYP2XtS/+0fqAhbmvw+zp4KqbSVh7ZYUaFz1spx9lrqv/WciqY7Pw2WK1Ox1979k8dFKq7zFfpZ+6mY99XsxqApqRe4/AnRIu0vpwQdHCLg77fTeHcdAa0gS9b9dwR8Xy+uPfCDwJ1YlXzhGIEblIsyjdOpmP3FdPDsRwJX8529JlQRmLr+S/fLAnLdmQjB1xwCl4YcJp6oHcc7KIi52PuEQFXjo+ut8QS2JM14nPGYwMedi6Qf3CewvqPg/ttwArbIKtSJI0A7OWVWxTMCwdqnH4E2jn+w7HXkjuukffS+PHd/AotuSE5dOUngtNap6bz9BDjKabfqzEi8r/diz6YQGKjeJZp/dlweylFP9iHnV43tsitaQK6fVpywZgmBWPs5fUf+IvA8U3Oe2gYCm28ZKl9ZReD4Gu0q+UYKmveL9x8KJPBPdBCmuZBxzjNteqxNIDIrs9HchMAxGwbxTWdcnzmgkr/EgsSJ3Du/XYUAZUvhfe1KCrLTl4WlN1OQlU8cidAnIDmHGV+1CDhIPb+6cQ2BIJXCeWGkXk3d8NRNl8BDiSXrswaBpRuX7Hb6QPlPvtfMjXwgpuBQdB69TUhByHc7/pk5BOLMD41qzyCQE8pYe6+GggXBCz+XtVIwq7jmw+/Ccamx++2TRXQKHJs3PmFWUPDo9bsGbyoFJxRYXdEnKBi6ZZuyah7xH+4ks5JXTosJCMPnHFPupGDzqXTtzBYK9vx52s9roMB6pvv2q28o6OQvk9oeRsGByDfqvkGkH92jRUnWZJxJh59pyhL/8kIKpo18nb9NmgBrfvC3X6MUyE6oCDnGo8Db7dhpk2wKSuozXT6/p8DjYgP7LxoFye8WRcRfpsBO6KGSak/Bg9/XvOd+o/x3j//Dm2T0mUqbQuDPzhA5dRJXmTI3cn3HeHy31l05LJ9I+ZcnUvD9hs1kSgEFSqW1Z4LnE4g58uTx3iYK6g5HLcgZoED9sO+diXIknnGx6vsScr8/a4cXk+e3bO1WR1oRBTWx1SXv2BQY8GWCUhPG91/eGvpligP5nSxRlVhtIbCmsVU2X57A9wTd3w4N4/f3PU1m6Od3yn/j//tOgv7RX5VST8EvOwdfC+b4fQjiaw44kvvdfE9eXmsHgazi238v20rAIiiDu9CUQMA6Hc/otaRcsftoF7mf57dPLG+cRMb/V9qs0I9kfK2NA9cIyvi7+3++TmCX6RPNl+vH38e1866J9xRI/KcTgs2HKdjw6kGxYht5jhqzTau6yPM56aFiLT8+/7/3XCbTy79WSL6HIzvSRcEkrrXrnH4/Ann+MkHWNgQSDHMyPYzGv3fBkwjbRFsC7zf/FRC6lEDPF2pElh6BsAkGv2b1ENh66YK9SS75XjUYa7dGjr9737u32849HJfB6knPk5MJ6Blvj3oZQuBmqJuBCuk3ePJULmMXiafY2btnERX7Vf9+cUaDipazXi1sUrdKnrlx4UQyn7UdHH1bQmCfiofKWDGBN/EBzkIGgW6FpT56CQTYmzuP/uISOBzROGB8nMCLtqVhf6ypYEYW3I8k8+jTsTyh119UiOqqStYbknh/BjqYs8fl2V2tUdzFVLgPDnucUKRihCiYt6qFwMTD8tcvkHlR3s3Z62UEiTPzSFHWGSrqawe8lE5SEZ/Sv+vryfE68D/93slnUy23U5Fiu4ltZkLF27yD51YtoWLHdeeOvcupkGZx2jMGyLpUtTevoJWKxOzqD9N6qGA9tFnY0UmFh9yrPv1MKr5pNV3zDCfPgROyOOMoFS4m/Nuj16g4t/uTBi5QcZsaluroQ9rnZr19Lk2DwZWlYS+m0GAxlDzkPZ0G/dQ8ocooFWYmgTFndGgoDpkWSJtLg2PYk8KoyTQIVSriUnup2HN/ncK3ESq+G9LULpHyqoVBXA9BQ1li8tDsYhqaJ5ieWvmSrM/rGhqW3Kfh8Ozrc0sCx+v6w0vRNU5BNLieqxl+n05D3vTYu8EnyDrtP+DF1SV5x8bTBcc/0pBaeHmSRR05r7U0zJVNw1Xr6devkTzk4KkfifTWcX2LPrtK/zlZ/7u716ndoOGYzFv2H9JvUq3x/mmvaFhs+WOOwsZx3tQybc6Uncvo6C7dHGAyheRPv9/XrRyg4e6k/YkOP2gQH8j8sViNjvOs5Z4Wc+nw09nyMHwyHac6/Gae7KThMeO5aVIAHVJbEoIVLtHB0NV8Yx9Ex97mtQrWR+ho2rjhr7u+dHS1Cvcv3EvHDRt5zSn6dNiMpXHfLaTDJH6iBdeIjv54jdqjpL62sSHA+gXJIyd+lNXKpmO3TlfKn0w6Lgo+fJ34lI7exuHR4YRxP7e3rS756DeuW23fYxND+nHPMDn13psOSvgb4WJNBkajj2Ul/yJ56Jy6JxvkGXDp/5I0bZSOxqMXFzFJHnskZMhDb5Bc7z/W0kLyYY3L/R1BI3QEaR097TBGx3GnmLlLO+go2snwedrAQOwjruoTEQOc7fTaFRcYeHerd+JGJwayBmqfNvmR82GORkt8SZ7uIGxaepQBtx4l0w5TBoR0g5yjWgyEDu4QXVFm/NdHFEYTyfHrmWginEKxiAkqs27T3xpMaD2MmLRnAhMT0zSr6joZyFxZ9aGU7CMuKb53bC9koNhYOsjnIQNmXURyRygDlkubzBYZjvc/+gxTrWu9TJxJickdyyX7mfObBlKvM/FCwaOUCGTiiXGWf5v5eB8z0lvvFKU+7p89ob7BrC8fPXwlyTFuPjpayvTXPMjHH81Rd4ugfBjkm7FltuZjbdSCiHzSn7HX6w15P5iIsGtilZL9lMfaPqP2MiYWjyosUX/JRHzYrhSKXAHmlRe0z6OxIE5J0FtwhoUtFw7/9DFl4Qkj87G+EgtJk+2TPL7l45pv3McJpN++R9W3ixPzYeZ/vZJ/OB85TiY3Crblw9R+4LW0eyG2Nf3Tkj1WgAXDMi7MxAJMtzuaRd1dAOPhQ+4b/2HBUCNrql8ZC3ftZbi3IljYlCbZ5L+DhYaDSUOr5rJAMxw6N70+H1cGbnin67DhkqKlOn2gEFKTIjvtyH560CSsx8qhEM2Cj6I3MwtBZ1Y//ckpQIdvqsuiyAL8KjvUctexABq5K/VXLipARJ9P8/dBFlYNToiaXMjGedufHXGJbHwaHfGXeLPhOjfoZK0JG7t7w+K6JrNh0zKqmJ5XiLvNTV+DjxciKffuc4EF2cfPt8+Lm1sIJ1ftV9pNBdDxWXSHYHEwdUOI6p0QDhpCq8U7N3Ggw9jbLZrKwfIN9QtmN7PxsGjhyLVsNjL+StGrCWHD/+q37qhNbBy4nFD8cKzwP3+FytmaW5K5aP9xP9hkBxeqYVIfXaS42LzV49NnBge/1Ex1vgRz0F9PjKTYcGCaL3NZQZUDQeq6Kw3f2ei1XxPnWcpG5OXiZenX2Qh0TQv66cKDhRJrpv5cHhLzFf6sbOKCXnAseeU9LgThGtKXLLl47iffWDTMQdPVbC9fggNqYLzZcx8OXE5O1ptryYEqJ9xy3VwOfAe0q176FmFsx58pc3/zMPviuW2dmTz4TfHq+7iXB6PoN1bT1Xnokt0zeaSRi7ofvUFn73PRn91zefIxLiT7GtlvF3Bh27Y42bqbA9mhvkvVWcW4DvcKw73FmDVDDyEDRch5+Oz17btF2GGiuyzLuAj0jH3z337m4et0+3Xf7vDgGhimr76FB1vCUZsiwwP/yfXOya+5UD6VoOFaUwK5R4TuK5cS+HSVm9zvL4a586yN7FvFkBNdSt2GYqQ8HHtR214Ev9bAk903i9AgGI0f1S/CiEue+4d6HnZOlrNpvc/DyO3q1HVzyrDX1aRJOqkU1RfvmC1dUYrXmlmhjtwSxPNayzpNSjCrJvtt6rtiRFxT2Nd2sxh9yk8TF9gUo7p98sJh+WJ0zg0/UPKmCEpGt5bKO5VjquisXNP7Mpjt0rnAOFAG6byOXqm3pdDM8bnjHlwK/9CJerenlWJYz8NBkFDyL18vwSMGRSgrLIbg28eXyhHFMHhrZ+42WAG3731GkXsrUENdpdxfWY6+9fIdhi7l6LTkPDrfUAaJ+mPN/ENl2BI6vGTHSCkweQ8192opmBc+pXdolEJ354Tg/lclKH699M0s5yqYL258mFlXiV9++zQtrStx5v2MOQ0VFZh0WHpo1tYKnFEhIpTKytGkH25rb1T+b19ehgwpuYkPtpWh7rvb9oTmUkwVfm4c0ajBjSuangf8qjH8eQ9XiVeF5tBcRenFVTjabfpk9a1KpHp8ma+oUAmHbSHMhqcVeOIT2H5+WQWay+NkB1+XIzrgzImZpuXY90gqyOB1LfLzvm8XTKzFzoUXPkzwr8HG6gVqd/nV6P4RShvQq8aJWzrfvoWP/07vV3+F0u9cCVXZ4m1fBRVI9ClpZQZWIFNBKyqFwUdv4E9LOzs+uopX5LT11iImYW+hnkUtMoQv3NWfjv8f4BegJFELqf43H1ZhaN8CaWX3KqiWmbcpMSqRHGFxZzddAMroV9+bDgKYeS0Zc/3MB889hvIqig+GrG2sujYfY/NVNzDTa5H3ta9jk0wt3FT3XEo+VAM73I3dLanGn46zv3wPVONgQH38ZI4QChN1n9MchSDSm+YKvghwldUV2xolgJa9z5QRPQEuL39t6l3Bh2mFgiXLj4/aE19nbVDiQ1fEa40Iq8UJMz+pAw01KMuQWXj/gQgBTYuerV8hgkFk7otbRUKUTlu2UtpFCHVLGYveMQEuWvQW/J0swLzBX+GtawS46ekSqPyOjzMv3tT4hfPxZaFSYaoWH4sm/7F6ECXGPCtdiztLxDCwWrWN8lwExtG1loo7RbhhYmygUCeEe1cI//EZISxk1nUMLhLCOW2nLCoFEISeFn32FiD70sCv+BkCbKEuXf6PnQTKg0m9Sr/FKDty4PWBVDE+qzaUPlslRtOytVfi60Ro0fPunH9MhMSwwoMHJoiw0/RV/oJEIe667Gk/YCyE8q7ozFdtAkjPChUbJUtg9SPIzfKaBHO9vN2n7ZFg/u/qDpV+McJlOpxvhY/Hr23VYGUvFsH2bvzp0mARFnx5ELN1rgjapx4xvxBCBKotVJy/RYyffNGk6YYS0F0ff+lPkIDoa1Q8nSrBNmfvTRq+EtQ9nXopaqoEx53nWclkikFjdU9mmojBVFjy065NhOwfrcdXR5H7KAsz0tnBh5yZ5tblzkLk5BIBZl/Iccnv0u9tYpR6rey295BAw2wx0RwuwWm3BWfHnCTY+SJtFUNBgpqKwNUqBWL4rN17SMNdDBtdv7WBUmUIcybUvsRVwvbg+Q9urbVwEPttiZophL+cd6TrGxFk1/l3ZbHFuOU7NsOMxAsc1ktYfE4CJoNRp+siwa7DJ+9vnS/BvqoZu/oGeEhySqXWk/k5Snq1vmx6Ker2bhmLmlCJ2DZid9qKWgw2UO/Mey7AgK+Puo6jCAfXTjjIjhTDbWyvy9SVEvB1jXa1H5Bg9Zf0W0cyuAg0n3ldaToP2TL3Dp5i8SBH68/z6ivCOiWZoDHZUtiUjDikaZB5xv5p/vQlNTh1alo5VUeAxy267aeGhFBdsWWg3FGM/wNioIkNAQAAAACAAABAHwAAYQkAAA==eJx1mXlQlWUUxt1SpCQytVJzoxBIUbQ0Kw1nyqbdNrcps0WdssxcWizNpqzGtAQu3Hs/SClTyIVwSRERy2oq0harSc1MCXHLNE3RXCrP+zv3cD/H+88zzznPOe/7vd+73fOtX/f/Lz0vff1pTMpL7376VzcvfcTpX2mus9+fm+6F///t89LrnP5NARM9pzsQdvzHsNPtRz831+Xrm+t0FZ6z3+e5vPWIXxd2fAnxC8BFYRefTHwR7V5H/C50q8F30Yfpj0fefPxz8belH9+jew//2/DXDKXdt8CQ5RFeDM6knefIPwH+DPqXyPcWdu8seT7GP4w8I9E9DX8B3TQwh7yF8DJ0X4O/ku9R8oyz/og9E3yf+GX418Ar4D+Bv5H3eeuHxOf4nmch9lJwHXE/g9vp9wH8Ot6Z9r4E59v71TzCf6GdavjhcPR8ysE/C/+H5F+L7hv8G8Eq64/oj2FvyHzLI67I3lPU/NmMvxL+B/wEukbMt+bkKyXPZ+g2MC6bwJ34/8b/D/ZzPIcXku8S8ul7/4K4DfSjEvs++AnyxRJ/PvlawRMYPx2n74jbFo6sN+FHfc91geURfwfypGL/wd676PfaOAvWR9+A+PPAlmAn8qSx7rfxnHvoz9/wI7Rzkv7GEd+a/B2ITwK7epF5oM8nqPPgJHnjydPG8oi/O/1S7AnuoF8H6c8xeAxx+v5qjbu0m0I7V9NOHy8yn6LmpY6TPl8ze07R6f6WDKaBvcFDZ84riW9q/RJ/B54nGX4luj6G0p8T5GmMXufDRaA+X6L1S9+D5Olm+3rU+zvF88bSjv95L7b3IdiV+Kvg2t9q33s9TH//tfciGG/rQvQtwIvBNjZ+El9DvO47DWm/1nwWruusOfZaeXU9aP90Pms7Ueutrhe97hqRT/uvuJVxqyRuh29fOggewV9z5jqKGv8v0a23fU+5xH0DfkdchU+n58cP+BeiLzYuuAx7KeO7Al5ufulPCbzEzg3Rz8A+E55h54vETbHzT/yvw18BJ6F7nLyjfefxA/Ah6Ib6cBh5HoAPIq4L+VLhaeTpZna3PuBJhpKnDXEJur+FOB9CLu5oiHkdcv7j+A/Ad6PbBlbhrwRLiF+FfjW4Ev1yHy9GvwBeCOaD48Gx4Gj0w8nzSMg93wDaH4LuUXAo/qHwFOLbwpvhjyE+FozBHg/Ww3406No9HGR+BbmfYF8U5HnwF+EvDrr4+fBl+Oehz8XeH7yBfDfjv5H4q4lLgaegT4In4W8HbszhHgd+Ba7KoT9gOVia49pbmsP7wr6EuPvAwTku/x3o74Tfgr838d3AK8E++HvBK7K5v2SzTuEl4MfZLq/yMvjabBdfK0760Rl/J3gXQ4lPRN8RnkKeTti7E58KfzrAfTng8kyFvw5mBVz8rICLm4X9HfRzsOej25XFuspy9oNZ7NdZrDv8x/A3JT6OfCfRx5NvQJZ7jtuIu508w4m/F/tw8CnsY8AXwUzylGU63JLJ/Ri+B74f/ie4K9PlrWV35xP9bJnJfoS/H/5b4SMyXfsjsD+G/TXam4v9A+xFGbz/DP5HgDuxn8hw7TUkbwrxnelHP3AA/jEZLu9E4kKgl+HiloKf085PtLMR+yHiW9O/JOK74e+J/27iHwJH4Z+Kvxj7KvAX7HG01xJ7e+L64h8Gfxb/k+gnY8+mP2vh9fHHgon4E+F3kGcg9hHEvYm/kHaX449Bn2zPLbrrQI1/mbgQ+tnwcvybsN8E1/GZQJ48/EuJy4d/gm4n7W/DfhL83t6b4K/E7wF1vjRlviUwXy5nnvRgngyweSy6u8CHDCVuEvgy+mn4s8HZ5CtCtwJdGbgVfyX+vdjrsJ5iWK+nyFc/Kxp7ss7vgY9kXU8m/gnstfYB4c/inwjm4a8k314f7iauBv4X/BDtxbEP1pAvif1L99FJAacbj24c+9lE9rvJ4BTwVXAm+rlgK/bxZuzb8cbd/0l4C3hz9vUmYHvfebHUd54swl+IfTG8DP4p58f78ALaK8R+g51/EpcKduUcbAW2BTuCyZyrl8ITOIfLyFdi3J2X6BejX0A7RfAgcR58Nvru3BtSuUekct9I4/7RBX6F3TNc/7hfJIJt0K0k33JD1w/iCuCFdu8RXYD8b2DPRncZ97QW3Nsu4B4WDzbEr9iA+9op8uwj/y7yDyFuKPfHwehvAwfhH0Z76r8X+yDi7rT7rXtu3312JfolxM9HX4D/HewBeC68Aff1f9DXtXu64D7yVqOvIn47+Dv2avpzDf8jeocjXPL05P+A+tPgKbTfCX2q2QUfRv8IOBL7aHCM/d+RdrS+NxY+yv4XCQ+DQeIC+LV+Nw1/ttVPhWfBp5td9O9Zvc+tS/QFVg+WduZZnVFQ673KC9CVkb8cXgHq/9gvwM99dTOte63F/y1xW8KRupPof8P/u6Gbr+FI/ce9d/tfL3w3+u1W59P//6rXOo+bP74627+0cwp7Y6s3ufMRu7aznzyH4cfR1SPfuVZPdPuvF4nT+oD4td0Yq2e489fqWTJOzc6sA4ruz7PUM46fpW50idXDFMXembxaF63jRY9DE3se8beGd4S34zk1Xy/LJ6h1nFirh2l/xN7a6ljaH8E0qzcJHrD6kL4/7Zc/n/AEq/uJ/np4Py963Op5kfHS8dd4938Ju9YPe2Dvhe5G/FU2H4Xr8+u8amL9dPcreBerA+r4STtbrb6kzy1Y11enirO8glfYuImuL8+90daH9k/fd9R80XpaO6t7un3Q6rK6joX+TJ7qcOQ96brS+SPxLaz+KbpUq/cKrrY6u8RtCkeP634bT51P2l+xt7Pnl3wf0Y9PrI7m7r22nsV+xNavxDfyzYP2XmT/FNTvFWW2DwrfbHVBidN6aH36F2vrUfQB3/ezFfb9QuzraW+zfU+J2j9qzX/JP424IDiH/i1Dvwb8lnxbbHyj6qR16N8z9r1O4oK+8+FD+Cr7PibcPx90nj1s55/gq+TX70r6vUzrl+W+vJt84/ugncPCR1m9UVDrlPm0s9Dqm3oeiV2/r86APweOJ7/ii7566Cxf3bXEzjvR6X69Abt+f5uOf6rVUTWv9CNs57eOs+RJsu+1up+Jbo+1L/p37Tuk6LWOq/cLnW87cl1ciO/KV4Fr6Hd/LzIf3P9H8ur7mefr57V5/C/nO/dRvlOvAAfy3buKeTuJeab7So19P/wP8AYPQA==AQAAAACAAABAHwAAyxIAAA==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AQAAAACAAABAHwAAVxgAAA==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AQAAAACAAABAHwAArgsAAA==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AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAAAUNAAAVgoAAA==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AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/grid/Grid_300000.pvtu

@@ -0,0 +1,27 @@
+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="f_1[1]"/>
+<PDataArray type="Float64" Name="f_1[2]"/>
+<PDataArray type="Float64" Name="f_1[3]"/>
+<PDataArray type="Float64" Name="f_1[4]"/>
+<PDataArray type="Float64" Name="f_1[5]"/>
+<PDataArray type="Float64" Name="f_1[6]"/>
+<PDataArray type="Float64" Name="f_1[7]"/>
+<PDataArray type="Float64" Name="f_1[8]"/>
+<PDataArray type="Float64" Name="f_1[9]"/>
+<PDataArray type="Float64" Name="f_1[10]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Grid_0_300000.vtu"/>
+<Piece Source="Grid_1_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/log.sparta

@@ -0,0 +1,318 @@
+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    R equal 1.380649e-23/${molecular_mass}
+variable    R equal 1.380649e-23/6.63e-26
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.4
+variable   Ma equal 5.9
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    mfp equal 0.4*${L}
+variable    mfp equal 0.4*1
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*0.4)
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    sos equal sqrt(1.666666667*${R}*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*273)
+variable    vo equal ${Ma}*${sos}
+variable    vo equal 5.9*${sos}
+variable    vo equal 5.9*307.815564238681
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vx equal 1816.11182900822*cos(${theta}*2*PI/360)
+variable    vx equal 1816.11182900822*cos(0*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    vy equal 1816.11182900822*sin(${theta}*2*PI/360)
+variable    vy equal 1816.11182900822*sin(0*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/0.4*${cpmfp}
+variable    xncells equal (6--5)/0.4*4
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/0.4*${cpmfp}
+variable    yncells equal (5--5)/0.4*4
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/${yncells}
+variable    Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/100
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/1816.11182900822/${xncells}/10/4
+variable    tstep equal (--5+6)/1816.11182900822/110/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+Running on 128 MPI task(s)
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    nrho 3.23595913252916e+19
+global    fnum ${Fnum}
+global    fnum 1.07865304417639e+16
+timestep    ${tstep}
+timestep    1.37656721357586e-06
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 -5 ${ymax} -0.5 0.5
+create_box    -5 6 -5 5 -0.5 0.5
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+create_grid    ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    110 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    110 100 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+Created 48572 child grid cells
+  CPU time = 0.0840582 secs
+  create/ghost percent = 1.4047 98.5953
+balance_grid  rcb cell
+Balance grid migrated 48478 cells
+  CPU time = 0.200972 secs
+  reassign/sort/migrate/ghost percent = 26.3973 0.0147931 25.8568 47.7311
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1816.11182900822 ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1816.11182900822 0 0.0 temp ${To}
+mixture   air Ar vstream 1816.11182900822 0 0.0 temp 273
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  43392 4856 324 = cells outside/inside/overlapping surfs
+  324 = surf cells with 1,2,etc splits
+  109.215 109.215 = cell-wise and global flow volume
+  CPU time = 0.0889215 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 25.8866 25.894 2.89486 24.4117 20.9128 6.65896 0.194102
+  surf2grid time = 0.0217073 secs
+  map/comm1/comm2/comm3/comm4/split percent = 13.9284 24.6346 4.22765 1.73768 11.9179 7.01618
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+Balance grid migrated 1125 cells
+  CPU time = 0.0282066 secs
+  reassign/sort/migrate/ghost percent = 8.68666 0.121745 31.5628 59.6287
+create_particles air n 0
+Created 327644 particles
+  CPU time = 0.0121401 secs
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.59521 0 1.6875
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.37473 3.22189 6.03439
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave 
+       0            0   327644        0        0        0            0            0 
+   10000    8.8109768   367528     4081     3604        7    348918.65      14.3529 
+   20000    19.288134   366953     3985     3501        9    358383.29     14.48745 
+   30000    29.172931   367443     4111     3643       20    361434.21      14.4972 
+   40000    39.278784   367543     4122     3645       19    362984.91     14.53195 
+   50000    51.225732   367796     4040     3588        8    364020.78     14.55294 
+   60000    61.336557   367068     4183     3731       19    364618.14    14.564017 
+   70000    71.123408   367152     4142     3667       11    365073.85    14.567671 
+   80000    81.352668   368090     4121     3652       18    365427.73    14.577137 
+   90000     91.49669   368009     4111     3609       10    365726.73    14.580889 
+  100000    101.29578   367029     4154     3667       18    365927.73     14.57501 
+  110000    113.24659   367528     4039     3620        9    366108.22    14.587591 
+  120000    123.35313   368319     4111     3632       18    366285.07    14.588642 
+  130000    133.10309   366911     4068     3567        8    366386.81    14.584523 
+  140000    144.54319   367783     4132     3645       19    366487.34     14.59045 
+  150000    154.76609   367854     4153     3675       21    366581.02     14.58942 
+  160000     165.5227   367074     4083     3610       14    366681.27    14.590569 
+  170000    176.67429   367636     4005     3550       19    366733.38    14.591529 
+  180000    186.84512   367410     3954     3525       10    366788.56    14.592083 
+  190000    197.02838   367415     4106     3598       16       366827    14.591979 
+  200000    206.81766   368067     4091     3637       16     366879.3    14.590645 
+Loop time of 206.818 on 128 procs for 200000 steps with 368067 particles
+
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.023195   | 8.952      | 58.841     | 387.8 |  4.33
+Coll    | 0.25358    | 6.6582     | 54.32      | 342.1 |  3.22
+Sort    | 0.089749   | 1.4857     | 10.343     | 162.1 |  0.72
+Comm    | 51.624     | 82.374     | 92.239     |  89.9 | 39.83
+Modify  | 0.01758    | 0.10102    | 1.9643     |  90.0 |  0.05
+Output  | 0.0042083  | 0.0075673  | 0.0090028  |   0.7 |  0.00
+Other   |            | 107.2      |            |       | 51.85
+
+Particle moves    = 73375859348 (73.4B)
+Cells touched     = 76642856796 (76.6B)
+Particle comms    = 175561771 (176M)
+Boundary collides = 0 (0K)
+Boundary exits    = 16687349 (16.7M)
+SurfColl checks   = 198964950 (199M)
+SurfColl occurs   = 2918129 (2.92M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 956796302 (957M)
+Collide occurs    = 755173381 (755M)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+
+Particle-moves/CPUsec/proc: 2.77175e+06
+Particle-moves/step: 366879
+Cell-touches/particle/step: 1.04452
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00239264
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000227423
+Surface-checks/particle/step: 0.00271159
+Surface-collisions/particle/step: 3.97696e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0130397
+Collisions/particle/step: 0.0102919
+Reactions/particle/step: 0
+
+Particles: 2875.52 ave 20009 max 0 min
+Histogram: 84 16 4 12 2 4 2 2 0 2
+Cells:      379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump         1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 10000 c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump         2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump         3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.63477 0 3.375
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.54192 3.34929 6.16229
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave 
+  200000            0   368067     4091     3637        0            0            0 
+  210000     18.82471   367861     4056     3560       18    367952.35      14.6407 
+  220000    38.964851   367771     4096     3632       12    367881.64      14.6322 
+  230000    57.219786   368176     4086     3570       11    367847.29    14.650633 
+  240000    75.600044   367775     4123     3598       15    367892.38       14.655 
+  250000      95.7679   367953     4125     3651       21    367804.84     14.64826 
+  260000     114.0579   367617     4093     3635        9    367820.33    14.652417 
+  270000    132.37786   367961     4119     3645       11    367840.64    14.638514 
+  280000    152.21558   367944     4014     3523       11     367802.7    14.640462 
+  290000     170.8884   367721     4121     3638       10    367823.01    14.641833 
+  300000     189.2735   367633     4084     3616       12    367855.58      14.6463 
+Loop time of 189.274 on 128 procs for 100000 steps with 367633 particles
+
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.011868   | 4.5117     | 29.642     | 274.3 |  2.38
+Coll    | 0.12579    | 3.3613     | 28.302     | 245.1 |  1.78
+Sort    | 0.050675   | 0.75402    | 5.1684     | 114.4 |  0.40
+Comm    | 30.921     | 46.691     | 51.935     |  60.5 | 24.67
+Modify  | 1.7474     | 12.487     | 77.158     | 424.1 |  6.60
+Output  | 0.031959   | 0.033434   | 0.037214   |   0.6 |  0.02
+Other   |            | 121.4      |            |       | 64.16
+
+Particle moves    = 36785558188 (36.8B)
+Cells touched     = 38422370540 (38.4B)
+Particle comms    = 87929050 (87.9M)
+Boundary collides = 0 (0K)
+Boundary exits    = 8361970 (8.36M)
+SurfColl checks   = 99758327 (99.8M)
+SurfColl occurs   = 1464630 (1.46M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 482228928 (482M)
+Collide occurs    = 380585182 (381M)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+
+Particle-moves/CPUsec/proc: 1.51837e+06
+Particle-moves/step: 367856
+Cell-touches/particle/step: 1.0445
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00239031
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000227317
+Surface-checks/particle/step: 0.00271189
+Surface-collisions/particle/step: 3.98154e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0131092
+Collisions/particle/step: 0.010346
+Reactions/particle/step: 0
+
+Particles: 2872.13 ave 20003 max 0 min
+Histogram: 84 16 4 12 2 5 1 2 0 2
+Cells:      379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+write_grid    grid/final-grid.dat
+  grid cells = 48572
+  CPU time = 0.00694107 secs
+write_surf    surf/geom.surf
+  surf elements = 200
+  CPU time = 0.001741 secs

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/mir.txt

@@ -0,0 +1,3 @@
+dimension     2
+create_box    -5.0 6.0 -5.0 5.0 -0.5 0.5
+read_grid     grid/final-grid.dat

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/output/surf.300000.dat

@@ -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      0.00137     0.032357    -0.032353   0.00050824  -3.7393e-05   -0.0023803  -0.00050876  -2.9405e-05       8.3474            0            0 
+129     -0.31871      0.38526     -0.30645      0.39508      0.11892       3.2168       2.0113      -2.5105      0.58103       0.4655     0.040718    -0.032121       1098.5            0            0 
+2      0.49975    -0.015705      0.49901    -0.031395      0.00148     0.034665    -0.034626    0.0016329   4.4694e-05   0.00094774  -0.00054319   4.0536e-05       8.2293            0            0 
+130     -0.30645      0.39508     -0.29389      0.40451      0.11215       3.0665       1.8412      -2.4522      0.57634      0.43273     0.037973    -0.031721       1068.9            0            0 
+3      0.49901    -0.031395      0.49778    -0.047054      0.00129     0.031114    -0.031018    0.0024412   0.00013087    0.0016628  -0.00048515   6.4463e-05       8.4593            0            0 
+131     -0.29389      0.40451     -0.28104      0.41354      0.10582       2.9002       1.6676      -2.3728      0.59689       0.4195      0.03557    -0.030681       1011.7            0            0 
+4      0.49778    -0.047054      0.49606    -0.062667      0.00139     0.031873     -0.03168    0.0034975    0.0004384     0.003971  -0.00049072   0.00011731        6.632            0            0 
+132     -0.28104      0.41354     -0.26791      0.42216       0.1023       2.7826       1.5277      -2.3257       0.5901      0.38763     0.033266    -0.030443       948.69            0            0 
+5      0.49606    -0.062667      0.49384    -0.078217      0.00145     0.035743    -0.035387    0.0050363   0.00077124     0.005419  -0.00054372   0.00016422       10.857            0            0 
+133     -0.26791      0.42216     -0.25452      0.43037      0.09611        2.638       1.3784      -2.2493      0.60157      0.36864     0.031099     -0.02954       933.15            0            0 
+6      0.49384    -0.078217      0.49114    -0.093691       0.0015     0.033528    -0.033029    0.0057645   0.00052332    0.0029985  -0.00051058   0.00013764       10.586            0            0 
+134     -0.25452      0.43037     -0.24088      0.43815      0.08955       2.4527       1.2152      -2.1305      0.59614      0.34003     0.028451    -0.028123        888.7            0            0 
+7      0.49114    -0.093691      0.48796     -0.10907      0.00129      0.03115    -0.030503    0.0063169   0.00083973    0.0040549  -0.00046593   0.00016291       7.6233            0            0 
+135     -0.24088      0.43815       -0.227       0.4455      0.08676       2.3505       1.0999      -2.0773      0.60985       0.3229     0.026855    -0.027557       841.29            0            0 
+8      0.48796     -0.10907      0.48429     -0.12434      0.00132     0.031407     -0.03054    0.0073319   0.00015284   0.00063661  -0.00047729   0.00012516       8.8293            0            0 
+136       -0.227       0.4455     -0.21289      0.45241      0.08102       2.2177      0.97566      -1.9916      0.61678      0.30216     0.025013    -0.026536       813.13            0            0 
+9      0.48429     -0.12434      0.48015      -0.1395      0.00154     0.036661    -0.035362    0.0096739   0.00052125    0.0019054  -0.00054725   0.00018188       10.793            0            0 
+137     -0.21289      0.45241     -0.19857      0.45888        0.077       2.0906      0.86033      -1.9054      0.59283      0.26767     0.022825    -0.025724        761.2            0            0 
+10      0.48015      -0.1395      0.47553     -0.15451      0.00127     0.029685    -0.028373    0.0087287     0.001791    0.0058218  -0.00041753   0.00022855        9.123            0            0 
+138     -0.19857      0.45888     -0.18406      0.46489      0.07043       1.9129      0.73205      -1.7673      0.59395      0.24602     0.020828    -0.023895       690.37            0            0 
+11      0.47553     -0.15451      0.47044     -0.16937      0.00143     0.034837    -0.032959     0.011284    0.0031292    0.0091397  -0.00046854   0.00032081       9.9279            0            0 
+139     -0.18406      0.46489     -0.16937      0.47044      0.06688       1.8184      0.64276       -1.701      0.56432      0.21324      0.01896    -0.023369       670.54            0            0 
+12      0.47044     -0.16937      0.46489     -0.18406      0.00135      0.03149    -0.029457     0.011131    0.0025286    0.0066917  -0.00042298   0.00027995       10.911            0            0 
+140     -0.16937      0.47044     -0.15451      0.47553      0.06366       1.7142      0.55527      -1.6218      0.56964      0.19503     0.017669    -0.022411       637.08            0            0 
+13      0.46489     -0.18406      0.45888     -0.19857      0.00143     0.030981    -0.028623     0.011856    0.0041422         0.01  -0.00038452    0.0003433       11.195            0            0 
+141     -0.15451      0.47553      -0.1395      0.48015       0.0599       1.6098      0.47336      -1.5387      0.56466      0.17371     0.016304     -0.02144       584.86            0            0 
+14      0.45888     -0.19857      0.45241     -0.21289      0.00121     0.027849    -0.025381      0.01146    0.0026663    0.0059052  -0.00035679   0.00027276       8.9697            0            0 
+142      -0.1395      0.48015     -0.12434      0.48429      0.05421       1.4765      0.38961      -1.4242      0.53994      0.14771     0.014601     -0.02005       575.46            0            0 
+15      0.45241     -0.21289       0.4455       -0.227      0.00123     0.029283    -0.026297     0.012883    0.0034692    0.0070814  -0.00035857   0.00031358       10.692            0            0 
+143     -0.12434      0.48429     -0.10907      0.48796      0.05027       1.3533      0.31593       -1.316      0.52854      0.12689     0.013264    -0.018677       529.35            0            0 
+16       0.4455       -0.227      0.43815     -0.24088      0.00152     0.031517    -0.027854     0.014748    0.0049899    0.0094243  -0.00035913   0.00037968       12.102            0            0 
+144     -0.10907      0.48796    -0.093691      0.49114        0.048       1.2847      0.26053       -1.258      0.51839      0.10735     0.012235    -0.018074       493.57            0            0 
+17      0.43815     -0.24088      0.43037     -0.25452      0.00152     0.033775    -0.029338     0.016734    0.0064852      0.01137  -0.00035896   0.00044144       12.963            0            0 
+145    -0.093691      0.49114    -0.078217      0.49384      0.04432       1.1822      0.20326      -1.1646      0.48817     0.085199      0.01086    -0.016955       454.19            0            0 
+18      0.43037     -0.25452      0.42216     -0.26791      0.00154     0.034754    -0.029633     0.018159    0.0080127     0.013076   -0.0003396   0.00049061       12.075            0            0 
+146    -0.078217      0.49384    -0.062667      0.49606      0.04087       1.0808      0.15229        -1.07       0.4623     0.065794    0.0096534    -0.015774        423.2            0            0 
+19      0.42216     -0.26791      0.41354     -0.28104      0.00167     0.035386    -0.029576     0.019428    0.0083406     0.012697  -0.00033355    0.0005046       12.094            0            0 
+147    -0.062667      0.49606    -0.047054      0.49778      0.03832       1.0033      0.11009     -0.99721      0.44638     0.049281    0.0087407    -0.014889        398.8            0            0 
+20      0.41354     -0.28104      0.40451     -0.29389      0.00143     0.031622    -0.025871     0.018183     0.011602     0.016508  -0.00022413    0.0005449       13.189            0            0 
+148    -0.047054      0.49778    -0.031395      0.49901      0.03579      0.94947     0.074495     -0.94655      0.45758     0.036012    0.0083575    -0.014302       395.03            0            0 
+21      0.40451     -0.29389      0.39508     -0.30645      0.00184     0.038133    -0.030495     0.022896     0.014925     0.019879  -0.00024455   0.00067188           14            0            0 
+149    -0.031395      0.49901    -0.015705      0.49975      0.03328      0.87779      0.04135     -0.87681      0.41637     0.019635    0.0071895    -0.013464        350.4            0            0 
+22      0.39508     -0.30645      0.38526     -0.31871      0.00203     0.045068    -0.035172     0.028178     0.017818     0.022241  -0.00027259   0.00079195       20.253            0            0 
+150    -0.015705      0.49975            0          0.5      0.02978      0.77537     0.012179     -0.77527      0.38118    0.0059881    0.0061786    -0.012083       318.72            0            0 
+23      0.38526     -0.31871      0.37506     -0.33066      0.00202     0.042977     -0.03268     0.027911     0.019237     0.022523  -0.00021116   0.00079219       16.624            0            0 
+151            0          0.5     0.015705      0.49975      0.02834       0.7378    -0.011589      -0.7377      0.36725   -0.0057693    0.0055865    -0.011678       302.81            0            0 
+24      0.37506     -0.33066      0.36448     -0.34227      0.00219      0.04778     -0.03534     0.032157     0.023921     0.026289  -0.00017936   0.00091802       20.819            0            0 
+152     0.015705      0.49975     0.031395      0.49901      0.02542       0.6577    -0.030982     -0.65697      0.34111    -0.016086    0.0048712    -0.010572       273.23            0            0 
+25      0.36448     -0.34227      0.35355     -0.35355      0.00269     0.061321    -0.044036     0.042674     0.032268     0.033298  -0.00018485    0.0011933       25.542            0            0 
+153     0.031395      0.49901     0.047054      0.49778      0.02387      0.61113    -0.047948     -0.60924      0.32169    -0.025318    0.0042998   -0.0099672       250.21            0            0 
+26      0.35355     -0.35355      0.34227     -0.36448      0.00293      0.06246    -0.043467     0.044854     0.038641     0.037446  -7.5792e-05    0.0012927        31.99            0            0 
+154     0.047054      0.49778     0.062667      0.49606      0.02195      0.57031    -0.062583     -0.56687      0.31609    -0.034896    0.0039819   -0.0094521       233.24            0            0 
+27      0.34227     -0.36448      0.33066     -0.37506      0.00297      0.06622    -0.044567     0.048978     0.039251     0.035715  -8.3502e-05    0.0013303        32.61            0            0 
+155     0.062667      0.49606     0.078217      0.49384      0.01974      0.50003    -0.070455     -0.49504      0.29805    -0.042419    0.0035749   -0.0084421       219.08            0            0 
+28      0.33066     -0.37506      0.31871     -0.38526      0.00334      0.07471     -0.04852      0.05681     0.043278     0.036963  -8.2342e-05    0.0014729       34.992            0            0 
+156     0.078217      0.49384     0.093691      0.49114      0.01834      0.46908    -0.080648     -0.46209      0.26887    -0.046925    0.0029564   -0.0079953       202.09            0            0 
+29      0.31871     -0.38526      0.30645     -0.39508       0.0035     0.078123    -0.048846      0.06097     0.050053       0.0401   1.8958e-05    0.0015875       36.329            0            0 
+157     0.093691      0.49114      0.10907      0.48796      0.01762      0.44061     -0.08935     -0.43145      0.27097    -0.056114    0.0028527   -0.0076584       193.68            0            0 
+30      0.30645     -0.39508      0.29389     -0.40451      0.00414     0.093883    -0.056369     0.075077     0.064129     0.048149   0.00012188    0.0019356       48.318            0            0 
+158      0.10907      0.48796      0.12434      0.48429       0.0152      0.38783    -0.090537     -0.37711      0.22024    -0.052876    0.0020374    -0.006754       159.39            0            0 
+31      0.29389     -0.40451      0.28104     -0.41354      0.00469      0.10922    -0.062802     0.089358     0.069292     0.048699   0.00010195    0.0021685        49.15            0            0 
+159      0.12434      0.48429       0.1395      0.48015      0.01434      0.35296    -0.093137     -0.34045      0.21766    -0.059546     0.001956   -0.0062829       147.71            0            0 
+32      0.28104     -0.41354      0.26791     -0.42216      0.00527      0.11969    -0.065712      0.10004     0.090039     0.059145   0.00038211    0.0025003       62.576            0            0 
+160       0.1395      0.48015      0.15451      0.47553      0.01312      0.32032    -0.094188     -0.30616      0.20448    -0.062907    0.0017324   -0.0057971       146.26            0            0 
+33      0.26791     -0.42216      0.25452     -0.43037      0.00563      0.12879    -0.067293      0.10981     0.088409     0.054177   0.00033168    0.0025758       58.765            0            0 
+161      0.15451      0.47553      0.16937      0.47044       0.0118       0.2854    -0.092446     -0.27001      0.18727    -0.064118    0.0014895   -0.0052483       131.22            0            0 
+34      0.25452     -0.43037      0.24088     -0.43815       0.0061       0.1407    -0.069712      0.12222     0.095066     0.054225   0.00039824    0.0027715       64.647            0            0 
+162      0.16937      0.47044      0.18406      0.46489      0.01006      0.24072    -0.085087     -0.22518      0.15491    -0.058535    0.0010967   -0.0044564        104.9            0            0 
+35      0.24088     -0.43815        0.227      -0.4455      0.00702      0.16329     -0.07641      0.14431      0.11694     0.061917   0.00063664    0.0032393       80.557            0            0 
+163      0.18406      0.46489      0.19857      0.45888      0.00935       0.2278    -0.087175     -0.21046      0.14931    -0.061847   0.00097602   -0.0042772       104.62            0            0 
+36        0.227      -0.4455      0.21289     -0.45241      0.00785      0.18616    -0.081899      0.16718      0.12684     0.062137   0.00070587    0.0036019       93.261            0            0 
+164      0.19857      0.45888      0.21289      0.45241      0.00866      0.20653     -0.08499     -0.18823      0.13965    -0.063055    0.0008586    -0.003947       94.837            0            0 
+37      0.21289     -0.45241      0.19857     -0.45888      0.00825      0.20652    -0.084984      0.18822      0.13368     0.060357   0.00076481    0.0039045       98.661            0            0 
+165      0.21289      0.45241        0.227       0.4455      0.00793      0.18969    -0.083452     -0.17035      0.13056     -0.06396   0.00073993   -0.0036803       90.196            0            0 
+38      0.19857     -0.45888      0.18406     -0.46489      0.00965      0.23518        -0.09      0.21728      0.15681     0.064952    0.0010494    0.0044331       111.28            0            0 
+166        0.227       0.4455      0.24088      0.43815      0.00724      0.17065    -0.079853     -0.15082      0.11777    -0.062356   0.00059558   -0.0033484       80.983            0            0 
+39      0.18406     -0.46489      0.16937     -0.47044       0.0111      0.26957    -0.095285      0.25216      0.18303     0.069162    0.0013783    0.0050472        130.3            0            0 
+167      0.24088      0.43815      0.25452      0.43037      0.00641      0.15355     -0.07608     -0.13338      0.10528    -0.060052   0.00045868   -0.0030383       78.509            0            0 
+40      0.16937     -0.47044      0.15451     -0.47553      0.01127      0.27828     -0.09014      0.26328      0.18116     0.062026    0.0014297    0.0051096       130.35            0            0 
+168      0.25452      0.43037      0.26791      0.42216      0.00532      0.12859     -0.06719     -0.10964     0.085738    -0.052541   0.00029135   -0.0025475        63.25            0            0 
+41      0.15451     -0.47553       0.1395     -0.48015      0.01229      0.30041    -0.088332      0.28713      0.18783     0.057784    0.0015629    0.0054177        131.6            0            0 
+169      0.26791      0.42216      0.28104      0.41354      0.00523        0.116    -0.063689    -0.096958     0.080337    -0.052771   0.00026149   -0.0023518       57.148            0            0 
+42       0.1395     -0.48015      0.12434     -0.48429      0.01371      0.34474    -0.090967      0.33252      0.21738     0.059468    0.0019856    0.0061571       160.74            0            0 
+170      0.28104      0.41354      0.29389      0.40451      0.00449      0.10127    -0.058229    -0.082852     0.068209    -0.047938   0.00015676   -0.0020544       49.799            0            0 
+43      0.12434     -0.48429      0.10907     -0.48796      0.01497      0.37385    -0.087273      0.36352      0.22429     0.053848    0.0021522    0.0065557       155.69            0            0 
+171      0.29389      0.40451      0.30645      0.39508      0.00378     0.084316    -0.050625    -0.067427     0.051115    -0.038378   7.6934e-06   -0.0016619       34.666            0            0 
+44      0.10907     -0.48796     0.093691     -0.49114      0.01718      0.43443    -0.088097       0.4254      0.25246     0.052283    0.0025817    0.0075032       185.79            0            0 
+172      0.30645      0.39508      0.31871      0.38526      0.00353     0.079813    -0.049903    -0.062289     0.052915    -0.042393   4.7316e-05   -0.0016443        41.34            0            0 
+45     0.093691     -0.49114     0.078217     -0.49384      0.01778      0.45112    -0.077561       0.4444      0.26601     0.046427    0.0029601    0.0077096       195.63            0            0 
+173      0.31871      0.38526      0.33066      0.37506      0.00355     0.077319    -0.050215    -0.058794     0.051835    -0.044272   2.5458e-05   -0.0016189        40.73            0            0 
+46     0.078217     -0.49384     0.062667     -0.49606      0.02002      0.51455    -0.072501      0.50942      0.29089     0.041399    0.0034302    0.0086519       221.98            0            0 
+174      0.33066      0.37506      0.34227      0.36448      0.00335     0.072284    -0.048648    -0.053464     0.042718    -0.038871  -9.3141e-05   -0.0014503       31.531            0            0 
+47     0.062667     -0.49606     0.047054     -0.49778      0.02165       0.5548     -0.06088      0.55145      0.31402     0.034668    0.0039761    0.0092063       239.33            0            0 
+175      0.34227      0.36448      0.35355      0.35355      0.00267     0.057838     -0.04025    -0.041535     0.037533    -0.036372  -4.2677e-05   -0.0012237        30.71            0            0 
+48     0.047054     -0.49778     0.031395     -0.49901      0.02406      0.62236     -0.04883      0.62044      0.34251     0.026956    0.0046129     0.010169       257.44            0            0 
+176      0.35355      0.35355      0.36448      0.34227      0.00249     0.055446    -0.039817    -0.038586     0.029551    -0.030494  -0.00016126   -0.0010851        22.53            0            0 
+49     0.031395     -0.49901     0.015705     -0.49975      0.02579      0.66884    -0.031507       0.6681      0.33955     0.016013    0.0048386     0.010746       268.97            0            0 
+177      0.36448      0.34227      0.37506      0.33066      0.00239     0.053524    -0.039588    -0.036022      0.02891    -0.031771  -0.00016773   -0.0010649       23.584            0            0 
+50     0.015705     -0.49975            0         -0.5      0.02872      0.74382    -0.011683      0.74373       0.3856    0.0060574    0.0058732     0.011777       305.51            0            0 
+178      0.37506      0.33066      0.38526      0.31871      0.00212     0.045682    -0.034737    -0.029668     0.020976     -0.02456  -0.00021615  -0.00085178       17.844            0            0 
+51            0         -0.5    -0.015705     -0.49975      0.03021      0.78714     0.012364      0.78704      0.38293   -0.0060155     0.006209     0.012268       320.75            0            0 
+179      0.38526      0.31871      0.39508      0.30645      0.00193     0.042556    -0.033212    -0.026608     0.018049    -0.022529  -0.00023817  -0.00077181       20.723            0            0 
+52    -0.015705     -0.49975    -0.031395     -0.49901      0.03386       0.8868     0.041774      0.88582      0.42761    -0.020166    0.0073728     0.013597        354.3            0            0 
+180      0.39508      0.30645      0.40451      0.29389      0.00177      0.03704     -0.02962    -0.022239     0.017218    -0.022932  -0.00019481  -0.00070952       16.845            0            0 
+53    -0.031395     -0.49901    -0.047054     -0.49778      0.03603      0.95422     0.074867      0.95128      0.43585    -0.034302     0.008022     0.014403       380.08            0            0 
+181      0.40451      0.29389      0.41354      0.28104      0.00173     0.037244    -0.030471    -0.021416     0.011006     -0.01566  -0.00030574  -0.00058236       11.683            0            0 
+54    -0.047054     -0.49778    -0.062667     -0.49606      0.03965       1.0468      0.11486       1.0404      0.46754    -0.051617     0.009148     0.015532       408.78            0            0 
+182      0.41354      0.28104      0.42216      0.26791      0.00184     0.040833    -0.034128    -0.022418     0.010639    -0.016196  -0.00036895  -0.00060653       16.884            0            0 
+55    -0.062667     -0.49606    -0.078217     -0.49384      0.04074       1.0872      0.15318       1.0763      0.45326    -0.064509    0.0095257     0.015893       420.94            0            0 
+183      0.42216      0.26791      0.43037      0.25452      0.00159     0.034878    -0.029738    -0.018224     0.008681    -0.014166  -0.00033076  -0.00050876       13.439            0            0 
+56    -0.078217     -0.49384    -0.093691     -0.49114      0.04608       1.2254      0.21068       1.2071      0.48773    -0.085123      0.01097     0.017624       458.81            0            0 
+184      0.43037      0.25452      0.43815      0.24088      0.00159       0.0335    -0.029099    -0.016598     0.008247    -0.014459  -0.00032753  -0.00048781       11.161            0            0 
+57    -0.093691     -0.49114     -0.10907     -0.48796      0.04737       1.2638      0.25629       1.2376      0.48509     -0.10046     0.011645     0.017861        485.5            0            0 
+185      0.43815      0.24088       0.4455        0.227      0.00156     0.034716    -0.030681    -0.016245    0.0081571    -0.015406  -0.00035379  -0.00049715       11.696            0            0 
+58     -0.10907     -0.48796     -0.12434     -0.48429      0.05071       1.3711      0.32007       1.3332      0.53373     -0.12814     0.013411     0.018928       530.07            0            0 
+186       0.4455        0.227      0.45241      0.21289      0.00155     0.032485    -0.029172    -0.014291    0.0067686    -0.013816   -0.0003519   -0.0004415       13.117            0            0 
+59     -0.12434     -0.48429      -0.1395     -0.48015      0.05487        1.475      0.38921       1.4227       0.5426     -0.14844     0.014636     0.020015       565.12            0            0 
+187      0.45241      0.21289      0.45888      0.19857      0.00144     0.031715    -0.028906    -0.013051    0.0031742     -0.00703  -0.00040417  -0.00031543       9.7133            0            0 
+60      -0.1395     -0.48015     -0.15451     -0.47553       0.0594       1.5813      0.46496       1.5114      0.52932     -0.16284     0.015618     0.021182       586.61            0            0 
+188      0.45888      0.19857      0.46489      0.18406      0.00126     0.029831     -0.02756    -0.011416    0.0036729   -0.0088671  -0.00037521  -0.00031859       7.0711            0            0 
+61     -0.15451     -0.47553     -0.16937     -0.47044      0.06108       1.6585      0.53722       1.5691      0.53733     -0.18397     0.016878     0.021757       617.02            0            0 
+189      0.46489      0.18406      0.47044      0.16937      0.00121     0.029059    -0.027183    -0.010272    0.0016656   -0.0044078  -0.00040082  -0.00023058       9.5979            0            0 
+62     -0.16937     -0.47044     -0.18406     -0.46489      0.06532       1.7644      0.62366       1.6505       0.5798     -0.21909     0.018903     0.022483       655.02            0            0 
+190      0.47044      0.16937      0.47553      0.15451      0.00157     0.036001     -0.03406    -0.011661    0.0021826   -0.0063748   -0.0005007   -0.0002833       10.108            0            0 
+63     -0.18406     -0.46489     -0.19857     -0.45888      0.07194       1.9399      0.74237       1.7922      0.59684     -0.24722     0.021035     0.024268       690.91            0            0 
+191      0.47553      0.15451      0.48015       0.1395      0.00151     0.035698     -0.03412    -0.010497    0.0013946   -0.0045332  -0.00051403  -0.00023608       9.7345            0            0 
+64     -0.19857     -0.45888     -0.21289     -0.45241      0.07564       2.0351      0.83748       1.8548      0.56119     -0.25339     0.021969     0.025154       718.61            0            0 
+192      0.48015       0.1395      0.48429      0.12434      0.00132     0.030526    -0.029445   -0.0080551   0.00086118   -0.0031479  -0.00044897  -0.00017597       8.2805            0            0 
+65     -0.21289     -0.45241       -0.227      -0.4455      0.08045       2.2022      0.96884       1.9777      0.60449     -0.29613     0.024713     0.026412       812.75            0            0 
+193      0.48429      0.12434      0.48796      0.10907      0.00125     0.027868    -0.027098   -0.0065057   0.00023792  -0.00099102   -0.0004219  -0.00011775         7.25            0            0 
+66       -0.227      -0.4455     -0.24088     -0.43815      0.08543       2.3146       1.0831       2.0455      0.62905     -0.33307     0.026893     0.026898        819.1            0            0 
+194      0.48796      0.10907      0.49114     0.093691      0.00147     0.035678    -0.034937    -0.007235    0.0005188   -0.0025052  -0.00054061  -0.00015299       9.9286            0            0 
+67     -0.24088     -0.43815     -0.25452     -0.43037       0.0891       2.4039        1.191       2.0881      0.56272     -0.32097     0.027546     0.027756       817.25            0            0 
+195      0.49114     0.093691      0.49384     0.078217      0.00132     0.032138    -0.031659   -0.0055254  -8.3995e-05   0.00048127   -0.0004986   -7.923e-05       9.1976            0            0 
+68     -0.25452     -0.43037     -0.26791     -0.42216      0.09682       2.6557       1.3876       2.2644      0.62043      -0.3802     0.031541     0.029595       935.95            0            0 
+196      0.49384     0.078217      0.49606     0.062667      0.00126     0.030762    -0.030455   -0.0043345   0.00024799   -0.0017425  -0.00047448  -9.5452e-05       7.9083            0            0 
+69     -0.26791     -0.42216     -0.28104     -0.41354      0.10347       2.8111       1.5433       2.3495      0.58807     -0.38629     0.033479     0.030837       966.88            0            0 
+197      0.49606     0.062667      0.49778     0.047054      0.00141     0.033102    -0.032902   -0.0036324  -6.7795e-05   0.00061408  -0.00051786  -4.7409e-05          9.5            0            0 
+70     -0.28104     -0.41354     -0.29389     -0.40451      0.10515       2.8717       1.6512       2.3494      0.57094     -0.40126     0.034904     0.030601       1007.1            0            0 
+198      0.49778     0.047054      0.49901     0.031395      0.00123     0.028464    -0.028376   -0.0022333  -5.7129e-06   7.2589e-05  -0.00044581  -3.3938e-05       9.3699            0            0 
+71     -0.29389     -0.40451     -0.30645     -0.39508      0.11388       3.0999       1.8612       2.4789      0.58478     -0.43907      0.03842     0.032041       1066.9            0            0 
+199      0.49901     0.031395      0.49975     0.015705      0.00153     0.037676    -0.037634   -0.0017748   1.5457e-05  -0.00032776  -0.00059089  -3.3025e-05       8.5792            0            0 
+72     -0.30645     -0.39508     -0.31871     -0.38526      0.11943       3.2514       2.0329       2.5375      0.60071     -0.48126     0.041367     0.032298         1120            0            0 
+200      0.49975     0.015705          0.5            0      0.00152     0.037107    -0.037103  -0.00058286  -8.6903e-05     0.005532  -0.00058415   7.7737e-05       8.9522            0            0 
+73     -0.31871     -0.38526     -0.33066     -0.37506      0.12734       3.4567       2.2449       2.6285      0.58191       -0.497     0.044402      0.03348       1168.1            0            0 
+74     -0.33066     -0.37506     -0.34227     -0.36448       0.1322       3.5757       2.4065       2.6447      0.53998     -0.49135     0.046282     0.033824       1190.3            0            0 
+75     -0.34227     -0.36448     -0.35355     -0.35355      0.13754       3.7475       2.6079       2.6912      0.52538     -0.50913     0.049216     0.034274       1253.2            0            0 
+76     -0.35355     -0.35355     -0.36448     -0.34227      0.14284         3.89       2.7935       2.7071      0.52904     -0.54592     0.052189     0.033947       1286.5            0            0 
+77     -0.36448     -0.34227     -0.37506     -0.33066      0.14868       4.0402       2.9883       2.7191      0.51057      -0.5611     0.054957     0.033896       1355.6            0            0 
+78     -0.37506     -0.33066     -0.38526     -0.31871      0.15458       4.2169       3.2066       2.7387      0.47495      -0.5561     0.057827     0.034283       1403.5            0            0 
+79     -0.38526     -0.31871     -0.39508     -0.30645      0.16231       4.4236       3.4523       2.7658      0.44614     -0.55688     0.061234     0.034697       1448.4            0            0 
+80     -0.39508     -0.30645     -0.40451     -0.29389      0.16585        4.544       3.6338       2.7283      0.43869     -0.58427     0.063968     0.033677         1514            0            0 
+81     -0.40451     -0.29389     -0.41354     -0.28104       0.1726       4.7451       3.8822       2.7284      0.39681     -0.56461     0.067211     0.033988       1580.5            0            0 
+82     -0.41354     -0.28104     -0.42216     -0.26791      0.18042        4.955       4.1414       2.7204      0.37251     -0.56709     0.070902     0.033823       1635.8            0            0 
+83     -0.42216     -0.26791     -0.43037     -0.25452      0.18409       5.0296       4.2885        2.628      0.35878     -0.58548     0.072996     0.032082       1662.1            0            0 
+84     -0.43037     -0.25452     -0.43815     -0.24088      0.18979       5.2179       4.5324       2.5853      0.30882     -0.54143     0.076043     0.032103       1700.6            0            0 
+85     -0.43815     -0.24088      -0.4455       -0.227      0.19461       5.3077       4.6908       2.4836      0.29512     -0.55739     0.078315     0.030256       1709.9            0            0 
+86      -0.4455       -0.227     -0.45241     -0.21289      0.19934       5.4276       4.8741       2.3878      0.26564     -0.54224     0.080732     0.028989       1746.7            0            0 
+87     -0.45241     -0.21289     -0.45888     -0.19857      0.20706       5.6095       5.1126       2.3084      0.22164     -0.49088     0.083786     0.028549         1776            0            0 
+88     -0.45888     -0.19857     -0.46489     -0.18406      0.20989       5.7419       5.3048       2.1973      0.19895      -0.4803      0.08645      0.02697       1852.4            0            0 
+89     -0.46489     -0.18406     -0.47044     -0.16937      0.21607       5.8853       5.5054       2.0803      0.16544     -0.43783     0.089073     0.025799       1864.6            0            0 
+90     -0.47044     -0.16937     -0.47553     -0.15451      0.22115       6.0325       5.7073        1.954      0.15093     -0.44082     0.092017     0.023769       1917.9            0            0 
+91     -0.47553     -0.15451     -0.48015      -0.1395      0.21972       6.0349       5.7681       1.7745      0.12113     -0.39373     0.092504     0.021688       1947.9            0            0 
+92     -0.48015      -0.1395     -0.48429     -0.12434       0.2264       6.1817       5.9626       1.6312      0.10663     -0.38979     0.095332     0.019499       1984.9            0            0 
+93     -0.48429     -0.12434     -0.48796     -0.10907      0.22913       6.2924       6.1185       1.4689     0.083495     -0.34778     0.097417      0.01761       2004.8            0            0 
+94     -0.48796     -0.10907     -0.49114    -0.093691        0.232       6.3529       6.2209       1.2883     0.065079     -0.31425     0.098736       0.0153       2045.1            0            0 
+95     -0.49114    -0.093691     -0.49384    -0.078217      0.23454       6.4388       6.3429        1.107     0.050133     -0.28725      0.10042     0.012876       2088.9            0            0 
+96     -0.49384    -0.078217     -0.49606    -0.062667      0.23909        6.555       6.4896      0.92361     0.034546     -0.24273      0.10248     0.010695       2105.4            0            0 
+97     -0.49606    -0.062667     -0.49778    -0.047054      0.23865       6.5549       6.5153       0.7193     0.017712     -0.16043      0.10262    0.0087784       2112.4            0            0 
+98     -0.49778    -0.047054     -0.49901    -0.031395      0.24365       6.6717       6.6511      0.52345    0.0082177     -0.10442       0.1046     0.006582       2156.4            0            0 
+99     -0.49901    -0.031395     -0.49975    -0.015705      0.24121       6.5957       6.5884       0.3107    0.0029699    -0.062977      0.10353    0.0038911         2087            0            0 
+100     -0.49975    -0.015705         -0.5            0      0.23763       6.5414       6.5406      0.10275   0.00077883    -0.049578      0.10275   0.00083516       2117.9            0            0 
+101         -0.5            0     -0.49975     0.015705       0.2403       6.6105       6.6097     -0.10383   -0.0001051   -0.0066906      0.10382    -0.001736       2181.5            0            0 
+102     -0.49975     0.015705     -0.49901     0.031395      0.24075       6.6131       6.6058     -0.31152    0.0027368     0.058035       0.1038   -0.0039816       2102.5            0            0 
+103     -0.49901     0.031395     -0.49778     0.047054      0.24233       6.5966       6.5762     -0.51756    0.0085838      0.10907      0.10343   -0.0064163       2068.3            0            0 
+104     -0.49778     0.047054     -0.49606     0.062667       0.2408       6.5752       6.5355     -0.72152      0.02178      0.19728        0.103   -0.0082345       2068.8            0            0 
+105     -0.49606     0.062667     -0.49384     0.078217      0.24204       6.5927       6.5269     -0.92892     0.035343      0.24833      0.10308     -0.01069       2100.9            0            0 
+106     -0.49384     0.078217     -0.49114     0.093691      0.23483       6.4393       6.3434      -1.1071     0.042526      0.24366      0.10031    -0.013562         2079            0            0 
+107     -0.49114     0.093691     -0.48796      0.10907      0.22982       6.3267       6.1952       -1.283     0.059432      0.28699     0.098244    -0.015644       2020.4            0            0 
+108     -0.48796      0.10907     -0.48429      0.12434      0.22721       6.2358       6.0635      -1.4557       0.0832      0.34655     0.096548    -0.017422       1996.2            0            0 
+109     -0.48429      0.12434     -0.48015       0.1395      0.22906       6.2189       5.9985       -1.641      0.10433      0.38138      0.09586    -0.019785       1989.3            0            0 
+110     -0.48015       0.1395     -0.47553      0.15451      0.22176       6.0707       5.8023       -1.785      0.13007       0.4228     0.093182    -0.021397       1957.1            0            0 
+111     -0.47553      0.15451     -0.47044      0.16937      0.21935       5.9881       5.6652      -1.9396      0.14879      0.43457     0.091322    -0.023641       1908.3            0            0 
+112     -0.47044      0.16937     -0.46489      0.18406      0.21546       5.8592        5.481      -2.0711      0.18195      0.48153     0.088949    -0.024968       1864.5            0            0 
+113     -0.46489      0.18406     -0.45888      0.19857      0.21084       5.7714       5.3321      -2.2086      0.20519      0.49537     0.086975     -0.02691       1871.4            0            0 
+114     -0.45888      0.19857     -0.45241      0.21289      0.20418       5.5949       5.0992      -2.3024       0.2535      0.56143     0.084077    -0.027346       1835.3            0            0 
+115     -0.45241      0.21289      -0.4455        0.227      0.20008       5.4547       4.8984      -2.3997      0.25781      0.52625     0.080991    -0.029427       1771.3            0            0 
+116      -0.4455        0.227     -0.43815      0.24088      0.19726        5.414       4.7847      -2.5334      0.29348       0.5543     0.079765    -0.031086       1801.2            0            0 
+117     -0.43815      0.24088     -0.43037      0.25452      0.19123        5.239       4.5507      -2.5957      0.33205      0.58215     0.076696    -0.031627         1729            0            0 
+118     -0.43037      0.25452     -0.42216      0.26791      0.18478       5.0649       4.3186      -2.6464      0.36336      0.59295     0.073541    -0.032255       1670.5            0            0 
+119     -0.42216      0.26791     -0.41354      0.28104      0.17769       4.8816       4.0801      -2.6801      0.38098      0.57998     0.070072    -0.032988       1579.4            0            0 
+120     -0.41354      0.28104     -0.40451      0.29389      0.17091       4.6749       3.8248      -2.6881      0.39893      0.56762     0.066343    -0.033307       1539.4            0            0 
+121     -0.40451      0.29389     -0.39508      0.30645      0.16643       4.5389       3.6297      -2.7253      0.41199      0.54872     0.063484    -0.034187       1485.2            0            0 
+122     -0.39508      0.30645     -0.38526      0.31871      0.16227       4.4491       3.4722      -2.7818       0.4688      0.58516     0.061903    -0.034503       1471.2            0            0 
+123     -0.38526      0.31871     -0.37506      0.33066      0.15385       4.2176       3.2071      -2.7391      0.47307       0.5539     0.057806    -0.034324       1424.9            0            0 
+124     -0.37506      0.33066     -0.36448      0.34227      0.14922       4.0956       3.0293      -2.7564       0.5164      0.56752     0.055693    -0.034382         1376            0            0 
+125     -0.36448      0.34227     -0.35355      0.35355      0.14245       3.9136       2.8104      -2.7235       0.5314      0.54836     0.052491    -0.034166       1332.7            0            0 
+126     -0.35355      0.35355     -0.34227      0.36448      0.13567       3.7336       2.5983      -2.6812      0.51856      0.50252     0.048957    -0.034222       1276.8            0            0 
+127     -0.34227      0.36448     -0.33066      0.37506      0.13156       3.5788       2.4086       -2.647      0.55206      0.50234     0.046503    -0.033686       1235.5            0            0 
+128     -0.33066      0.37506     -0.31871      0.38526      0.12377       3.3591       2.1816      -2.5543      0.57801      0.49367     0.043346    -0.032367       1139.1            0            0 

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/runmpirun128.sh

@@ -0,0 +1,18 @@
+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 2
+#SBATCH --ntasks-per-node=64
+
+
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/runmpirun64.sh

@@ -0,0 +1,18 @@
+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 1
+#SBATCH --ntasks-per-node=64
+
+
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
+
+/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/slurm-28429005.out

@@ -0,0 +1,200 @@
+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+Running on 128 MPI task(s)
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+Created 48572 child grid cells
+  CPU time = 0.0840582 secs
+  create/ghost percent = 1.4047 98.5953
+Balance grid migrated 48478 cells
+  CPU time = 0.200972 secs
+  reassign/sort/migrate/ghost percent = 26.3973 0.0147931 25.8568 47.7311
+Reading surface file ...
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  43392 4856 324 = cells outside/inside/overlapping surfs
+  324 = surf cells with 1,2,etc splits
+  109.214731023047 109.214731023047 = cell-wise and global flow volume
+  CPU time = 0.0889215 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 25.8866 25.894 2.89486 24.4117 20.9128 6.65896 0.194102
+  surf2grid time = 0.0217073 secs
+  map/comm1/comm2/comm3/comm4/split percent = 13.9284 24.6346 4.22765 1.73768 11.9179 7.01618
+Balance grid migrated 1125 cells
+  CPU time = 0.0282066 secs
+  reassign/sort/migrate/ghost percent = 8.68666 0.121745 31.5628 59.6287
+Creating particles ...
+Created 327644 particles
+  CPU time = 0.0121401 secs
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.59521 0 1.6875
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.37473 3.22189 6.03439
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave 
+       0            0   327644        0        0        0            0            0 
+   10000    8.8109768   367528     4081     3604        7    348918.65      14.3529 
+   20000    19.288134   366953     3985     3501        9    358383.29     14.48745 
+   30000    29.172931   367443     4111     3643       20    361434.21      14.4972 
+   40000    39.278784   367543     4122     3645       19    362984.91     14.53195 
+   50000    51.225732   367796     4040     3588        8    364020.78     14.55294 
+   60000    61.336557   367068     4183     3731       19    364618.14    14.564017 
+   70000    71.123408   367152     4142     3667       11    365073.85    14.567671 
+   80000    81.352668   368090     4121     3652       18    365427.73    14.577137 
+   90000     91.49669   368009     4111     3609       10    365726.73    14.580889 
+  100000    101.29578   367029     4154     3667       18    365927.73     14.57501 
+  110000    113.24659   367528     4039     3620        9    366108.22    14.587591 
+  120000    123.35313   368319     4111     3632       18    366285.07    14.588642 
+  130000    133.10309   366911     4068     3567        8    366386.81    14.584523 
+  140000    144.54319   367783     4132     3645       19    366487.34     14.59045 
+  150000    154.76609   367854     4153     3675       21    366581.02     14.58942 
+  160000     165.5227   367074     4083     3610       14    366681.27    14.590569 
+  170000    176.67429   367636     4005     3550       19    366733.38    14.591529 
+  180000    186.84512   367410     3954     3525       10    366788.56    14.592083 
+  190000    197.02838   367415     4106     3598       16       366827    14.591979 
+  200000    206.81766   368067     4091     3637       16     366879.3    14.590645 
+Loop time of 206.818 on 128 procs for 200000 steps with 368067 particles
+
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.023195   | 8.952      | 58.841     | 387.8 |  4.33
+Coll    | 0.25358    | 6.6582     | 54.32      | 342.1 |  3.22
+Sort    | 0.089749   | 1.4857     | 10.343     | 162.1 |  0.72
+Comm    | 51.624     | 82.374     | 92.239     |  89.9 | 39.83
+Modify  | 0.01758    | 0.10102    | 1.9643     |  90.0 |  0.05
+Output  | 0.0042083  | 0.0075673  | 0.0090028  |   0.7 |  0.00
+Other   |            | 107.2      |            |       | 51.85
+
+Particle moves    = 73375859348 (73.4B)
+Cells touched     = 76642856796 (76.6B)
+Particle comms    = 175561771 (176M)
+Boundary collides = 0 (0K)
+Boundary exits    = 16687349 (16.7M)
+SurfColl checks   = 198964950 (199M)
+SurfColl occurs   = 2918129 (2.92M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 956796302 (957M)
+Collide occurs    = 755173381 (755M)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+
+Particle-moves/CPUsec/proc: 2.77175e+06
+Particle-moves/step: 366879
+Cell-touches/particle/step: 1.04452
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00239264
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000227423
+Surface-checks/particle/step: 0.00271159
+Surface-collisions/particle/step: 3.97696e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0130397
+Collisions/particle/step: 0.0102919
+Gas-reactions/particle/step: 0
+
+Particles: 2875.52 ave 20009 max 0 min
+Histogram: 84 16 4 12 2 4 2 2 0 2
+Cells:     379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 1.63477 0 3.375
+  grid      (ave,min,max) = 2.75891 1.51379 4.32629
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 4.54192 3.34929 6.16229
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave 
+  200000            0   368067     4091     3637        0            0            0 
+  210000     18.82471   367861     4056     3560       18    367952.35      14.6407 
+  220000    38.964851   367771     4096     3632       12    367881.64      14.6322 
+  230000    57.219786   368176     4086     3570       11    367847.29    14.650633 
+  240000    75.600044   367775     4123     3598       15    367892.38       14.655 
+  250000      95.7679   367953     4125     3651       21    367804.84     14.64826 
+  260000     114.0579   367617     4093     3635        9    367820.33    14.652417 
+  270000    132.37786   367961     4119     3645       11    367840.64    14.638514 
+  280000    152.21558   367944     4014     3523       11     367802.7    14.640462 
+  290000     170.8884   367721     4121     3638       10    367823.01    14.641833 
+  300000     189.2735   367633     4084     3616       12    367855.58      14.6463 
+Loop time of 189.274 on 128 procs for 100000 steps with 367633 particles
+
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.011868   | 4.5117     | 29.642     | 274.3 |  2.38
+Coll    | 0.12579    | 3.3613     | 28.302     | 245.1 |  1.78
+Sort    | 0.050675   | 0.75402    | 5.1684     | 114.4 |  0.40
+Comm    | 30.921     | 46.691     | 51.935     |  60.5 | 24.67
+Modify  | 1.7474     | 12.487     | 77.158     | 424.1 |  6.60
+Output  | 0.031959   | 0.033434   | 0.037214   |   0.6 |  0.02
+Other   |            | 121.4      |            |       | 64.16
+
+Particle moves    = 36785558188 (36.8B)
+Cells touched     = 38422370540 (38.4B)
+Particle comms    = 87929050 (87.9M)
+Boundary collides = 0 (0K)
+Boundary exits    = 8361970 (8.36M)
+SurfColl checks   = 99758327 (99.8M)
+SurfColl occurs   = 1464630 (1.46M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 482228928 (482M)
+Collide occurs    = 380585182 (381M)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+
+Particle-moves/CPUsec/proc: 1.51837e+06
+Particle-moves/step: 367856
+Cell-touches/particle/step: 1.0445
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00239031
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000227317
+Surface-checks/particle/step: 0.00271189
+Surface-collisions/particle/step: 3.98154e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0131092
+Collisions/particle/step: 0.010346
+Gas-reactions/particle/step: 0
+
+Particles: 2872.13 ave 20003 max 0 min
+Histogram: 84 16 4 12 2 5 1 2 0 2
+Cells:     379.469 ave 380 max 379 min
+Histogram: 68 0 0 0 0 0 0 0 0 60
+GhostCell: 9951.02 ave 18101 max 568 min
+Histogram: 18 12 12 10 14 6 6 4 14 32
+EmptyCell: 219.359 ave 405 max 0 min
+Histogram: 2 7 9 15 23 20 17 18 10 7
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Writing grid file ...
+  grid cells = 48572
+  CPU time = 0.00694107 secs
+Writing surface file ...
+  surf elements = 200
+  CPU time = 0.001741 secs
+Processing  2  grid chunk(s).
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+
+Done in 0:00:08 (wall clock time)
+
+Processing  2  grid chunk(s).
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+
+Done in 0:00:07 (wall clock time)
+
+Processing SPARTA surface information.
+Processing dump result file:  ['./output/surf.300000.dat']

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/surf/Surf_300000.vtu

@@ -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="0.00121"              RangeMax="0.24365"              offset="4512"                />
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+        <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.095285"            RangeMax="6.6511"               offset="8472"                />
+        <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-2.7818"              RangeMax="2.7658"               offset="10544"               />
+        <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.0001051"           RangeMax="0.62905"              offset="12616"               />
+        <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.58548"             RangeMax="0.59295"              offset="14728"               />
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+        <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.034503"            RangeMax="0.034697"             offset="19000"               />
+        <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="6.632"                RangeMax="2181.5"               offset="21148"               />
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+        <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22584"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503"        RangeMax="0.50000001255"        offset="22636"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="23964"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="24868"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="25360"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAABABgAA3gUAAA==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AQAAAACAAABABgAA/wUAAA==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AQAAAACAAABABgAA/gUAAA==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AQAAAACAAABABgAAHAYAAA==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AQAAAACAAABABgAAKgYAAA==eJwdkn04Ewgcx9X1piFSXZ3yWiF1hQp3sx/FiVDSK6WU3YnErbNbrFIdDsPknStm3scMKfLyIy8lavM2W8vLVqhuYb0ozl2n/v4+z/f5Pt/PZ5bwrld85Qy+GlY1tFTbB3m3isccSZ5gfUrbbGR3EFTzztf9aEaFgeOzAfuYvpAdZjE+mBkEBbJSpv0zO5jWfsHpsTgJcd5FUemi30Fds7ml7+412Oh/MbrJNxRCV3AdpCF/gC19oZrqNhqcfxMnPD3vEshMXfRVXK6D/VVSgqFjJLj6jM5PfRANadNql2VK0aDsekn34hgTIojXtIw9k+AxNZx0tC0FzqWxFHbqqdBwdkYe9ncGiL0IIYEqLLjwc+0unc1sMFr6PoromAMfPh6gCeQ58FeOQc1sZC403uAcnc0vhIu6FXs0JwohLOtXqc0eLpxb6kNdVc+BPFcbTe9mDpz6Rr8lubIM1IkN9f6CMtDzMHm6dowLka782vJsHviQdAXpt8vBeVDJfKipDFZ3UZ0HkksheZPbVAqFC/ypl6ofEzgQvOgnL2FLMdhed7np0FoAI2mbx8EsD76sndfIgja3miiPjEyYdCVZ3yEzgUDxHs/l08Byqyu9ik1DT/nUMXJ+EooUJ3WXMFk40NO3LiagGKvMnQOKrvNw8xaDD7ceVWHYqThtvFuDtZkFP7z4uRGf/1n1aYVSM94Mt34z2d+C5dPVOw8yHqCgOkh3PaETt/kEc8Zy+bgn+iEv2kKAue5HSB3vupEhdOtb4NaHAgE0tUb34lMturfZIRH2kk3nKkQYfMz5HIkrxonRIrWaNc8wadCiYapzEOebRK4SPxnCHROW9g6UIVQ2D/j8yGkYNwU6WG6hSZH95f73Ugx5YPzDjQ4pttAvzpvqkuLQyqbPhytkGNiT9e8eDRnWB9LfpG+Q4fH2uFibOhnuOyqbR3aX4vL77FgDoRTtCg9ULvaQ4m0O822i3xAu3K6xk1g/iCynx9q+C5+hSFWyirzzGeYvO7F/yEyMBZWJTW5vRTj7D4OweJcQX200XVKythdnixTdLqe7sWWJtKtNg4/2qvnen/5swUovlRG72ns4S/kiEg+fNJmzHE8X4dJWld0Zv4Si6AOB2nynFGwip9/Ol9fC2h7NFJpNO2Q8cV3k0M4Hy3ccK5ttfOiQaLgSvLqB+quW6vAWIVxxERZG+orgiHxrreEyCVAKfuP9x5cAo+Ha9jNdg+An9ji5/vYQvHuoo0L8KIV+dpD10v5hSIoM9+ipkwKjxl95OlsGX++dlkH7HDWzeBl0t2n4K4xlMGLYR1oXL4WJkgEqq0YGhPVGlxk1UpgMmKnUmctfj7nYb2JIQYIV3bkrhmFQZ+KQieYwnCHYqjmlDUHa+eXXGx8NQMzwFRNxuQRUvgJ9CiOVxGXjT0SwTPjZqjO1H7418dum2twHVRaf7vsU98J7s+iRlMM94D5H5apeF3TUrDiSfIkPG0LWtFL2dkBW4hdBHsJi+uXVesQ2CCPnORq/vA83YDVt3LoR5I1WBk6htfD98/xFGfwqGHthv3G4nwelkuwpzx+LwGkyYvumoByQRwTEmGklgV1CrsdMBA0yVPRLGazf8cKt8q1iGhPj9JQsp+TpqNUQHvx8gIU5u4IvKO7mocaDe9WxiwoxjFBBnr5XgnsT6BuYyzlIWWOxQ0DnovVVnnvJdzzsr18ZpezHwyt1R0qdP5WiTOfOe9/iMvT7CoaH8XM2ck/y8JC5v7HumzJk+Wo36iMXDT+QzxaMFqNancd45wIOSvJpxw/GFOK6xNZ/HfLZyL1ppBx1Ow/dO20FXcX52B0f4T46ysapiZnOY1k5OJMxUtFllYVX18sljnbZKLpjVGm7MR1DikRp/RqpqMbWpdFDU/Hyc3/+ZmUmGvS7GJclM9EqvfqQ+jexqKSlrsf9KxbH9Z3dvo+NxzM9TnrMvQxMIf1me6mDjlTLlQteG13DksS4x69UKRik2HuUujYEJ2ImM39JoKBJYI4iq/0sCt8ezmIT96O+gji/PdwHk6LWvPKKBvBMEusmMo4j2dr0/k86dpDZaRpxYrEm7C7TDh0N2YHJVS6K6kIq/A++zz5rAQAAAACAAABABgAANAYAAA==eJwdzXk8FHgDx/GWRU2E5Grttm5qJOc45zvutNv0iA6Mq902TeNxhXhs5NrFIiwRKteUY2pIjsHzU2F2CI/hwaOyanVstY60j5aG3ef59/N6v14frRs/C0UNDELpzK4pe+BEuqm0E3GDIJsEEmrMDgZRz/t8RGHUiVyNPWuxrZNB7g8KtKQy6eSanXixxANk81mDsPp5J6Kw6W2ThGVP7krtWB1soZN7271cw9rticJPWmNUC1tyqKQxZCmERsS6QZzhJBpR1Hx62SKTRiq2vYzxzaARn8WBuSwna/J4IvIY5ZEV+dHLlZIbbEI8LhUwZmT3EWFuhc7Bx2ZEEFlT7MfbQ1JqP204nGJIfv9NFJppZ0Qy2Xtq/zajQhyofeEdv6gShsOoaLZIlZTx5SY3Zpfplat9Z+2Wd0G6bLiOdOxE7Uu1d90UWyx+dbunvssKHEZtv7+mHWwy/STpj1yhGey731XbA//eIvOer+iJk5QfGpLNvCCjoucvVXQUXw/n3irhHMNJt/saHmW+aCuSfrrTNRgXi+oKv60MgbjLpIpmcBIjBtRiIUKRo2VxmavJwbhFNI3uGQGWp8OrP+ai8DRF50H1aDS+Uer9LGnbOZwWKpCyv8fDzG3H/KL5eSga7quYCEsG1+hSv2lXCvJr+0asUlJBvfosPiIuA23lX0Qe+c93eDTOWLaNy8aBLXfrE/7IgeXUeLzPhzyMnFYLjdufj13fmD5k+heidLvnO/OsIpRF7qyiJBWj91c9/wBmKfifrfAmMsvwZiar92OrclwOWDmqZ3ANn1yzHDfSq0S8aGNuYaYSI0xZD1FDNdhnXPdt21sLDZm7vzzs5MI4RmTj3nwdX+DJmwnzOkxv4jDS2uuxNSjo9WHdRlgPc3WTy3i4cm5YTcnvFuiFkmXLYD5eRM/Hdls2YaHAZk+VQTPkdbtvPL7VDPZ7tYmcuNv43y1avgU3y7stputbIDv5aHQj6g6sHboPF2u3wmXu3e+JQ60IV+KphuW2IWOAFB+72QZnPZdc3ql2rCqoKBxebMcR9UXz++4dUHF9LPf5nQ7IJZ7X0HYQID3o1YuDbgJcCTQeVBIKQOMaUpeSBXixVrckPigAs6Xh4ttCATQMvGWqCwQw+JkT/VWCAPm/JcIqUADO/8Nf3io28xWvA3xbuZE0gw6w085zA9vakVi2/sYjqx2+nMKs/uk2fHfv1OvZ4DboyUsXs/pawRzNZ627tGIs/bhEOeMOui3dksc6W5CQE1CVcKYF8S87/X2rbsPP/ZVj0Vgz1NIDdjguNkEh22tyeo0Pz85RYSKDj4Rw+Y96mm4hIEI2iZTwoB1jvzaQ2gj1vQ18zdl6UBXF3nNKdXBf8OlxHLkOM6Ox0CgzLtYutrEkUzX4h4pLlHlkNZQ/hOvbW1chwEy3y3FzJXrFPXnsqatIOmN4wFmnAg3NC1mzSWXIpT+XlqooxbO3u8ThQZdAdQ84s+BdBMPvBYoMdiG8m8vTxOoF0KOYvF5vugim869btV/kQDu/dclwdzak2uaf123LxKAJL6PXMQPUIhbbuC8VXGvDZzXPLyB25+m6rk8vYK/P+p2uqG/hK/dfZiczHh7aosaZJ7EwzlMZFC9Ho06o3F9fHokfndl63ociUBjQK/7EMwxunK27ZWxCUTmSz80OPIUvRUODXfxghNyVJMvJBuPSCckR6xMssCu/jmKfOo65muwbcytesM4/J4laO4S4p0MxMTpfQupeYOEafT/y6qsOqaW5QFQTVhqkSAeT29NO0bCAUPmHje26ZtjjnaW/nq2HKo7dFEtnli7yiQipHd4MrVKviPGmVXqRnbp5MVuDWNa+zJEKliXp7fumP+joE6b/dYHqB32Cj/msAR8qKfHrb79BMyWJH7GNur83JmppKgfjtliS1JPKpu9MbMjW0U0n7HlWJJMSVU2JsyIZsQMJ5aY0MpnwL8lzRRo5ol86P5VoR5YuP+StFtsQ9921AzWudsQ5VVrJJJRB5A9Iy2xMMsiFn9Lj4jiO5IHtvdtMrj3R6s/WWWl1IuErQ8fzjv7lGvVVz2qA3OQLn+x6zyDXg4WB0TRHcsVjpvyfLBcydP9mgaWeC/kT1Nf0JA==AQAAAACAAABABgAANwYAAA==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AQAAAACAAABABgAA/AMAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p40/simulation0890_Kn0p40Ma5p9/surf/geom.surf

@@ -0,0 +1,610 @@
+# Surface element file written by SPARTA
+
+400 points
+200 lines
+
+Points
+
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+3    0.499753280182866  -0.0157053795390643
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+5    0.499013364214136  -0.0313952597646568
+6     0.49778098230154  -0.0470541566592573
+7     0.49778098230154  -0.0470541566592573
+8    0.496057350657239  -0.0626666167821523
+9    0.496057350657239  -0.0626666167821523
+10    0.493844170297569  -0.0782172325201156
+11    0.493844170297569  -0.0782172325201156
+12    0.491143625364344  -0.0936906572928624
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CylinderKnMa/Kn0p40/simulation0891_Kn0p40Ma6p0/Grid.pvd

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CylinderKnMa/Kn0p40/simulation0891_Kn0p40Ma6p0/Lambda.pvd

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