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T0NGXU commited on Dec 29, 2025

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CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_1_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_2_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_300000.pvtu +23 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_3_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_4_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_5_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/grid/Grid_4_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/grid/Grid_5_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/output/surf.300000.dat +209 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/surf/Surf_300000.vtu +38 -0
CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/surf/geom.surf +610 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Grid.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_1_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_2_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_300000.pvtu +23 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_3_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_4_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_5_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Surf.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/config.txt +78 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/cylinder.surf +410 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/gas.species +14 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/gas.vhs +9 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_0_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_1_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_2_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_300000.pvtu +31 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_3_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_4_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_5_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/final-grid.dat +0 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/log.sparta +318 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/mir.txt +3 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/output/surf.300000.dat +209 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/runmpirun128.sh +18 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/runmpirun64.sh +18 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/slurm-28428652.out +208 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/surf/Surf_300000.vtu +38 -0
CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/surf/geom.surf +610 -0
CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Grid.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_1_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_2_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_300000.pvtu +23 -0
CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_3_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_4_300000.vtu +0 -0

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CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_1_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_2_300000.vtu ADDED Viewed

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q4AWxqBxV3p/aGIubD7Aia3cs+rpW3tzHj8UVjwPtWlQsHv72LjtyJBaJu/cnm12PxeTJt/Q+3Y/Fr+78qPqGWHhMFS1Y2RQLh+HeN/JaYnFpO78woC0WC8a0ap5XYSD45i19/fEMBHLFV6MtGEiKbfPNtWNg8h5xIW8OA2qN29XvLWLAmbnm5e2vsbCemjLdkIwqsqX5pT9jwdwxCku0GahG2IobZgwod23+ku/KQL+zC+5oBjEwd1h6zJLdDOzcWnekD8VA50DjCbEXGDhZGeCplsqASLuvZXk6A+9+uRs63Wdgimr9nlGPGVjaR3VDRQkDW0I+J/chzwnxnYsHtjAwqe/R6ryfDNw0fbCGqcbELoaV6+H/mBg6f/whn3kMDJb8sbm6moG9eh3G5VsYWF9/rm0LhwFzl7SJW5IYqDxn+3o5mdemx2AGjMrXBIzLZ+CD39W+4ncMVDEVtn9pZCB09JSRZxSYeFFiej2ZvH/N7KlvMkyZmM5sPL3YmYljTaGe7j5MnFi1PcjZl4kNT3Sqvq9m4l02QzqZPDcHDbirF8KEoVb7Ht89TOw78tn8+VYG5vw3xOrsXgY0zidEnrrCwI9wc9edxI4+y+0YgcQO9I3p+tHOgKqxkuEvVTLvoIXaGzWZ+NKYNKRgGBOzg2yj4g2Z4Li6nY+axMQ4xvm6AlsmGI6KAycsZ+L5dNe3R1Yy0dSqdlN/ExPJdq9cJRwmpjUplLkcYMJnfdSalalMVJQ0TBReYcJdeQJjRAETOv/NVwTBZVvw4V+pNxm4tvRPfmMRAyFpj+Yvr6PxGDf00yYDgnvnmbHD8ocz0Sj+GDlViwnjIB//gGlMJAZrnupyYELrRaVm9BomNs8ap/AxiIm1xz+FeBE8xq3LG3ZHzIS6l8OD8htMrPB+Y3CezL9G4Gd7uoSJhVt57usamPgVftzE/hcTw6vrx94dykKhdG2LVjYDsVP6D3/bysCyltz6cGWyniSX79v6MxHw66doQD8mLuyTPG4axETbzZ0nDQyYsK86MrPZkQnqUhonz52J8ilunw4R/xQM26rgHc7EosL2cSHxTChwBcPnpDOhkqZhO/MeEwf1Vg1JIvbNup0fXl1B3v/h4fimr0xUvq8Z/WQ0CwpaNXeqrFiwHeCwW8+ZhaIZSZsyfzDQcFRyo5bw88KLQUXNA4mf+j2+FGlM1unK3aVJcAnQP5ClsJTgv76ke/9aJk567drpuI6JJUNu3cvdwITo0NDlg0MJfvOsnpVEMJHzxjXxioCJdOanq1tOMfG3b0N+/CMmsrvB+/GZidYJDtOUhrBgFbxi/8sxLKxqLtdvm86CR9kvs4vuLAxTjPG85s/C7/mL4/0Jj7VSjh55bcREf1n2+SP2TISIHKxOzGOipixy+zRvJtZXjHzyk/B6mvm4Ed/J/DNXnrdtJfxxvHUr6tUhJk6b7r9lcYuJK3cnDNZ5ykTqk4hju6sJDx5ULb/dRt6/XBwboMCCWj8zruEwFk684ggZ2iyU6915OtaShWp7ZxXNOSxEmbK/p21lITu683PtPhbMXiuVqI4n8WL5wjV4ChNXt3deMrUgY9PiEIYHE5c2n1d/5Uf8wy7POUQxIfn99M3ls0yMSvIalVXKxNjZNn0UvxOc2SOPu/9mInxdv09hfVjoU91XTaDHQgnS4s0nsDBFnKI8m4yvFtk369iykJzuYqCznAX3QS/rFQJZYJcMtjjBIrhdy8hbdpDY9WKi5p54Yq9WZL0pscOq3TUsMZDEvebicfEEH6+f220CTzDhEq+7Wj+LiSfaIzbYEr6wSnzuZ9aS3/d79Sy3g4kSry+jZO1MfH0UduuEKll30M9fRyeysGP13YU6piy8N1poqrqIhSsOryP7ElxqzyoLru0h9ltG/iwREJ59uLUuMI2Fheu+m7TfZmH1DpNyRhYLQ1cuavd4x4K2+gq9SH/Ct+aGt6GRTOw4LGg0lzLxY+3fOs9kJrLG7Pm4hvA73bokJJvYeWixzbNPZSQutr9vu0j8drQ5JpTSYOHlvvsNo2xYmOD12v0T4c9zt8WdOgwW/tqGt5VxWQjS73Pq0REWFOtX5I5KYYH3eUGmHbFjoP0GxQHErhln2zI13rBgOFQj93kHwTciSqT4g4VfB9jdbheYyGXz9BZnEz+u//Rd+JIJqf6QdR51TFhHJI2f9pGJ48bJ2RYk7m8N/Jh1ifDnpnNRWF8TEv/261prFrJQFyzP2CzMbuujlEXs8sv6FvZSzEJg7esF+ldZyPNN3xNdwkKB+oG5xa0sqNelyM5+I7jOk9S2DGbD7Mrxvzl92dDwGLC6cxgbE5WLzSMM2PBsMzk/4BnBI0vFYiUZ3w1dNjP3PRPwT11g2M2Ek+Ngs1DCI6WCgDfPZ7MwL/55qYov4XnzvMxRxB77q+MXbtjAwva88j1Dolng5g+1P8pjIXzSLG+fJBqfzrxq4dRXxM6S0C/6imyov1Jx7VZnw36q1bZT49joXFMescOJje0356456snGB/w9bObLxn7Pg1HOjUwUvZp/r6kvC5oNbzWz1VnQUd3sek2XBZmS8WEHMxYqjmRVjpnBwlXX6NzL3iwkdkVuK2QS/Ayixzw/wUL++mX5xtdZ0Khd0LiwjgXjwgMvnhB8ju57PCCQ4NI9du727X3YqIuMYX1rJvG6w/J9ohYbpn4vw4Is2fAwN6ReL2PDPUTJduoWNoKKPHBOyAYnZVff89NYGBNSNu6XPQtOoW6pQ7xYeHL80XODcBa6+R4ck0MEt6iPSj8vs9Dm99zHtpiFTEbf9vfPWLh/XjDsVTXh3cu4jIqPhFe6Iou6zyw0VjZsmqVB5nPZNHCmPhtDGc16TuZsXJlyTrOW4NIdcTcwI5iNaZ9353nGETszFq27mMTGl1nugXcusrHh95Q+XWfZaFftey9pPgvpXavFv3ey8FWWPIY6x0JT5ifWF8LjGA0npsdFFv6zDh7S7x4LSyUxXu/zSZ4/ts8wr5KFjb9G199uZ2GR8t7AtwPZSN+xJc3KjI3zFe+2u4xhI1r7e4OVGxve/a2eFGxiI29CY33gZjZEbwe4jgpio9RZK6wPGYfrG1+qDWGj4MXDS+kiNlQyhKZzMti4LFq2sV8ICzmcQ7MkESwIug4vPyAh+aggpPnzURauD/v56GMhwWOj8bdDVSz4jg5eOvYrC7Fha7Jm/2Uh+PSKgJUT2RgnMHhRZsVGYKMkvf8iNvQVqmwiyLxHQ52+XyB2Fe1tV10VzsbYc9pZ2ifYqHC7+7Ihnw1zvcGNbq/YyJ9ut+/3FzZ+zv5ckjSQg6BVp+pnq3NQ/KqP+ZNk4qcYj6NWBK/sXYtSLQhepb8b1EcUseC/WpZSTPxnN/d5ojfhkUPPBsxGS0yRA2caG8/c/Qd7W7MxZHZecbwL4c1xjXzlpTRejopXghukNB6hRzUbbEvYeFBouaVfM3nfQeWhMZocnN8tebjLiINdSRke46Zw4J70Rfu2EwcFCZb8yKcEB8sT7bcIb7KfFB4NH0n4mhs8dAaJq6bCuWaCqYQvHsy24QQffde/DEMPNli2b3JjttDzK2gnz/+7l43mg6Pf6t0gOH5/75dUzsZFt67k6Go2bnZMnKRDno0iatemvWVjjKo0aW0/DjqOZM9THkbbV8t2UBrlwIHH87I3/f04+B6gp11M8k3f8LSN1yezMd8177qUxNOroHm/jviRUc/wZlskG68X99tte5jEu+mzb5cvkGdOw0xxOm3Pp+nyDMTGgu2ruh78IHnsu3d3qTIHo56sn52lxcH0Wxen2Ezl4PXIWXXjZ9DPpjGc4gP25LlF1C6cz0GFxmf7J4EcWC2av82YzYHT0cP45EDHt5f74B16sWyMthmaYHCQjcfbL+/rvspGH3f2oAWX2eg6u4S6epONc7WfmPznbBwq3GKT2Ifzjzdqi412TvuPgzb/hKbVEzlIqz/QEmLBga+ueb3jQg4axhk1+QVxMMefqX2Xw8Hymvvv58o4WBN9tlB0kwPrm2rfi+5wEDtw9KxzuZx/+Dy9WNF5gvBWKDy1deh1NqZcU81bWsqGlXDEAMf3NH9fXo1axf1L42M76U87vz8HnKufvl43oXkTNehBmJYVWf+vnIO67hx8+mk11SOK+NNkRMexwxzsWxrlWHeNrMOwZJFzAVnH+ULPpc846JmukwNWcmbsIS0uftVGNXsnsxGQq3xiUSYdV7zFkUNCCthYtfh6lVING3ek/6n7/WLjW7+ikJ+6HOhOn5C7cjEHof4uHhM2c3DujEHLlu0cvG1W4N+O4CA72zUBZzg4nM0KrMjiYMPSG+q7H3FwfcTTnW5VHJQojFj36DPB8Wv5/aVqXGxq9/QKGsOFxsI61cVGXCxP7nSbasZF/aTh94wIn8xaTSf8zmJjyUXO8qAPZKxdp3NLkYOt068aTxnHwal+dirGHuS9pEowD+Vgk9GYtphYDiJCLJf6H+eg8U6+ySJixzaTPK+AGhoHjwSVOV8UuLg/9l40fxD3Hy727WJ9hRlc/FVmKmjN5CJMMnPmpblc2DU5MVMCuch0HdjXmMfFVc6YfuOL2bD5rmti/ZHEx6zph3QIj95nbQzIJvyVF6+SpRwEZo0sonZycORhsbJJHAdhD1XK8gg+duOGaD/Ip/3TPFbuaQ6+TtmWOXkCFz6Vz/6LcedCwdovO2gpFw8nrvsQEsyFW3ekkU0QF36p8dc1pVysDAtbsvkkF6pyGK5zIRqsGzLqChdKDfqedkp03nkzX/vUjiUc7O4XXpYdwMHwb+k5a/ZxcJfSt46/ReJdoeqQxWsOXE3+6v/+xoHshjxxcBFpsfHuPDsubG8E3F8+j4upySZaBS5c7Bslt5wLlUrns5eiuDi1L7n8p5iLT7zEv7p3CG76cbVzi7jQ9zF+NeoDF6+svi+L+8lFc6ScwDwseqUT5WdO5gt6lKG5jIOWONOB3ls5qH5/s3FdCgef/b5dbUvnQGHbFJ/YGxycVUl4kkHsu33j5oq9ily08h0tpSZclManp2Q6czE5sX73ll1cJHzcsXjNQS62fLys+/0iF38Ol5+5ksXFuxRn7TflXDQOW2BbVsvFmv7qCau+c8FVEpmE/seDlk7mSz1DHvbsnRU81oKH5pWL5qkS/20vWRA2KpyD5wNTToYf4ODaFY0vF04TXNe33RjwmIOLybHpf/vQPNL5Olj8kfB5/v6s5KNTib8Kjq5vnc/F3QVeSQxvLuRRNW0PF4GusQk+N7hgH3+c+uQFFy8etU+L7+DChcczjdbmoWFHrr6OCw9yNl/fyMP45bxT57fzkBF63WOlhIe+cw9Z8TZxsHfcMYbsEMmXGq+2muRxMPEElVbXRPJVk3wBXPjPM3j6yJCLtXsU9+nM4SI9dfzoel8ucj/O4hZEczF7gaKKayIX/IqvA3bmcJGmtNi/4hsX5X9KvjUO4qG2vMrmhT4Ps4dZbTYDDzqM8FX3fHmYmz7ac1cAbVdx65eR9fE8PNZ79mraDR62/qzfNyyHjr+TCXsv5DzlIHG/66AQBRqfXv+9Pn3yyjfiv/uNnxu2EL+1euw6Hl7CRWxAsqtRIxdxKbevDlDhIUcuV/Tl4fXGcq2aETzcdtCbvNaRBwurGv7H5Ty8I81E7k4e+h+rqByfysPKoh/+7XkEL2Pe8JclPHi0Ju25UEv8HbdYbUEj51/e2dltv+r0Qi4cxoa8W7CEi5qqIo1jAVy4T1nRImTTcXat/5E+Jg+5+LlX3G9FK4nPv/snLSJ4Zb7xPZfTn4dnXZxle2148P4TtSJtCQ8OkV87Snfx8NP7QaijiAd1tZqfOuk8dC0OL23N5EFl3eVdMXd4+NOx+rp5HQ/VhWcLbgzk44HX8dmVRnT+KfYVuWj60DiV5M8rvraXi0Gpgzyc7nHRkRn9YHMlF8mTHUe1vOViWsWG08mfuZBnE0s9HoakbBjxzI2Hv6vlxOchXfGScSCbB+OuEH5HAg9fCOrf0nhwdb99OJDYdeTinfcxn3mYJMw2EejyUXx1IuOxNR8Pd//Vm+jGx3nlb4ddNnCxmXx72Q4u7l0fOl5fxsURfS/Ny1eJHT/W+hzJJ3hef0A1VnAxId/8twbhd5fIKUhJhwdzJYWC47a03/7KmkqbdvNw9/WdsMWHeVhxSDspMYWHU3qDzhY/5mG3nvO2dfU8PHKTV8h8dMxtkGEkH47bVUepTeODBOWwmoV8GN7yXsTawAfHzjufu5mLwWlL2xJInjwhXmmVTPJS1lt5IqDzkVxdKhvOg9+Wx6N/TyU8CfC89MmEB8XD5ltmz+fhzOed7GdMHuJC27U7k3lgyg5Nv3Kfh5azfy/86OAhmfNoUrAKH25aM04kG/NhOillaKkTH65D2xUW+PDRvi0qfcZaPoZv/uEyL4IPauUWlZh7fDRclmaYn6NxctYvvFBdR/P8d9d8YbcBDzfKR6iFWPPAMhu7KIjgVGPpqa9L0bxptrc38sngQc/967o/T3lIbHg/ZwLhd8TiCdPTCU76DXtT2ybwMfriRldn4j9eTtn9uI188L9dYdZw+aiOez018QIfd9cbOIyr5OPx+ZnEtXws+lHxuegrF+cfGfUxU+Phnos8UfPw5tj11ybTeNiS/o5b487Dkrwl3WrraZx+CU+Y7TvHQ0Co0QdhFg/+G2qdp7fy8GFzxXxPJT7mN3hXe6nzMX3t0+07zfmIH2Re+HA5HwR0UsDwoSzwzk3L4WPFOGbYliaC0/7Yw+wBFKY073vjN5RCSbVWiJcGhYk/htzzJ/mpcp04gj+XB7k67LeZh9LxoyKEPB7en/Rx0txH8oRpf2bBTR5uHp0f5vWS+HV1YKVhC8Hzu1fGwh/E7luprbfH8lHnP2fQGT8+TtR8D119lI+IkT7HjibxYe0/xU75Ph85J9xOFebxMflmurbGdxKfCtk8jSkUDin88kx1ohC7Z3tz0XoKd6d4pw4IpxAceXu8NcmTI1wW/hq5jQefdbNqFoh5mF4aVVJ1iYd+hyTWTyp5SLn7RajRScf9LreqA6tM+Rg2S5vXvYr4o17FcfRSPryXKW80C6ftc5xpw+54xsfp89t3HRtEYcn7wWHbJlGoGmtabmVKwWvEJ/OcuRQEY09vXr+GwtldHdFvoilUuu5Z/iqFgpun0owsIQ8Prz26aXeBh1mha6+Ne0HikURp+Q867isElgUZ7vS4UjrlUUUAH1811sZHU3z8N5Xv4n6bj8/4cXvXcz4yTeSVJY1Tr323yK69czqFUSpflj1cSSFtlL7i7p0UnCwWXDKSUjB0uq+/hNilmNZnyNsiCs87DjOKunhI7SgjnRgfSXL4SbyPtF87YdFUPrjSL3/gwYdBjOmnN5Hk9z2AkvgjT7fe8zFwpe6muSoU9F6unP5kCIWDj0ft9TGk0NhtN8qA+Ouz/LXeFBZVFzwdtZxCiILlGAdi19it8g6dwmO7uEXHd1PYNKXYYdZZCkf+LhttXUahRzb+TEFJNichvB8fNb+4lIoRH2++2TZfXsaH7EidSlQ0H60nNCrMLvEx9EjcJkfCm4cDl+TfI/YNlss8X/g4kGBb2n8gBaMrmwhTKKTMW7HynQWF1D0zdS0WUugjL5N3UNC2oCIekPlfRq3UmZRPQePBjFvbiyn0yDpfiP2nf1or/6CwLWBhyJaxAkRvsdtxYbEAJHktSxPz8WHagPRZp/kY8fxmcdNVPtLjhv2yzKXjvfZr/DW7ev4/nPh36psLJlBYeL5R/bENhS/KUwx8t1MonDH3qvM5Clb8csIECt+ephgn1lOYcfu6G/cdhXX6M5UkSgI4/WAO1zAVYNOXv6njnAV4IDLyfhcswNDM+W8v8AXY2nV6qNoZARaO3L9hWgYfm0PqdqcQO3TP7NkW85X/L84Hxv2efHAshWyLJFd/Vwo5gbEDrgYQPnuxTG9GUnBNXPpUL4Eet5f9zK84TmF4ty8p5Sj8xx+8rKSawrGA4UmV/QXI27v1u7WdAEa2z+aLAgTYO2ZlH06EAAXGg22N9gkwceOGzZw0AVy6qmtOZAkw62cRq1OTwulqT+s2IwpTFy727eNG84UUtZZ1q0kequ5zPH0Lhc0Ww97KSNznFsuJQ+Hr8aINCwopTAhb6uTeSWHl5SaSqQWQZR7bU28vQMOYxiCv+QL0lJE7BFB7a3P0/nYBVvcUgAJcOcd/5npDgDf/DRIuqhDAxGbqMJ0vAuyUl4UjhCCLSjhI+JvxYCFv2GYyb/yax32YFIYVMJY9OkbPn954rP+tDxTO75QrUgIsc3yrO19PgFNKvzm6ZgLsVrJafMNFgE4zuaAiQMyp0Va/NguQtiNlSHe8AJvvRV31vyVAT/nwXQAlmw11V/sLofP5ycC3ikJ80JJXQkIcWnxItNZAiLMHL36d4yCEapPRVv4tCj3byA2aN8ZVq9Y7/iHx/3bJJr/hApRYnYwsny7AuOOtgXNB29PrH8flXd0+h2jeTC7fIovMFKDM8o9TQI4Ael0jL8x4QfxaOvGzQZMA82VR46UaQhSvmv+wn60QTLlct5bYyzG4FsEj4y3FHUWnhIipaioZ+oTCBrH9RPZ/AhT92a1tSuY98edaQ8EaMl9e3qIMSgDJB4sT1SIBhHXyBpf2h5lDeHpYrgDDPJsmHq0S4GBrpWpuiwA3IzwiarpoO05OOlO2YIYQDaQ7Kd8sxOkcx5EQC5EyVd4xCrEw52ba5jtCPF15VnawSIj3L+tX6JUL8fbDvX6XVwkw4ss2R8+dAiSRXXVElAC71l2w/HuZ+FFtOM/iHokvveg/kZ8E8A593v8Z8c81+wla1gOEcBFacK3thZhoeqw8ZKEQ0qETRIEBQvj3FD5CjIh5PdTghhBBu3XJli7EpMKZo1YlCzHGYMDh+xeFmOxf6efWLcSsMx+LTEaK0N3+YNMhSxFsB170KFkognp6X8elNwUI0HY3yb8vQE97US7ARu6SRXeKBBA7p7AndgowyVLeyQgxNvfAtV1zhYDWu5xWYkeRQA6oEBabN574cVSIVP9Jv9nXCH9W1q0yeSuE6RGFnM8fhAiNznFiaYrQMW/vh247EYKw2InrJcKoaKuqq44iFC2Ue0CElK/RhLki6DfbKaS4i3BZ9c/NvaOF0BWGLH7qLYRsrrLHDYYQw91+LXoeL8QCaeVH3RNCfFoUk5XNJPytbzH/dVaIpjlt0cNqheiRg74SP5BsPlJfBIOexlaEIWcMD+VPpef5vCeMpG4R+sjLgd0iuLNO7lYQijBsa/Jx5SQR3hZfblB4IML8tBlHf7wQYXxTQqHVaxE6BWd1N2wRwurs3j4nBEIo9T3meiSV8PZT4uYT94VQl9PsFeHvw7HudxTJ+6daBO8n9jAOOAqDCS7bb7YkG/UVIWJpmSDUUIQM6wMDFQguEpVPw12If2IND5spbxKha5S3RMoQIfyGc+itOBFIUVGZcFGEp43/+a/vL8bM4kMjfPXE+CIv30aIkdC/w+WOjRjzOjrUXu6mefHiwJPPNreEuPCwMdagVYiW8+f7Xh9J4//WesXsIFsResLCR4TvTeHFswNEGECylJZYhMJ3G34wzougEbzy76UnImSf7upit4pwbPDMRo3/xOg/peXPlcG0HSsmmpDULEbPMb+ZGEVvosZlrhdj1f1HA3UCxP/8k3vFZPOpPmSdlGLj99/Er+OmHLg5juBCXXG75yRCxYMH1blSEe7bzdxRf02ES52vgi/kimA0NmdS9UMRbEi3P+KWCM8/Lutzl/jlev6JoQ79xMCMxJlLjcTYdHzc51XzxNCpuNdiQeb/8Kc5rGajGOI14eMLt4mR9cfAbhdTjJ3ydBkhxuGNgVOUT4sx+v1X38VRIgRYqyVPZYuwI+3PE7+7IswIlJ9YieC8a/Asz0YRrONveQ1WFGPsu0WT6tTEEOa/qnmpK8acCo7e0QVifFUfq7U1WIyIHoDFMGr8tjefjD0y0E4x9j6Kcbm3Rwzbw5p6iVIx3N9M4jMuEfza/KZqpomRc2zAuKxzBFebW7M23RTjY2nayB0XxbCy6H66pUgEt3cjVrt+pu1wsGt8eaFbhF866cv01MXQVO52Om5Ar1ftPpLn7Rfjv8nOD2cfF4OR/rdPeaoYPWF8Wwxp17BNtx6KUXLux6QflWKEHou53VohhqFL8C71UjEOrBstuVQmRqLN5OcJDWL0a3tR4FgjhuXyU7onnxIcUjh7C1PEaHq6ZEED4aXlvtAbGcT/3ktymwxWiHFQ6VxKwCYxemSjA/To8NQmdk60GDWihMt748Qoq9MXJeaLsV2NV/22jqxXxKztaBNDe6Pm3uJm4td1y3zmkrEo9Gnh4hYxKmNVw+pbxeBx885tIn93XM1dY36RGFE9BYEYyaS77CJ+MOwRMsWYvzNY6e0OGo+lDJ+BumfEcDnVd+Lr+2L81pRvxGJoWckrfjF275D0eUnmGZL3fpDpFzFur04Ye79JjD2XbvjHvBTjQVHSnBvk9zGaOxp0NSToKf+0JDDRNtdNJs+ePQ2SGK7ldY2TqsS4LnoeOeks7Zcr95dtb5kuxnK5zFAhQv1q36WGBOd5ag9SI36I8TeCo/xdUYKkk83LZupJkG3qW+g1WYLcg7qkc5RgQKuZrCxYgp42YJcEr9044QarJdjQU9BIsC9XXkBJMOFc3QpvKwn2yq6lnR0twSdL+cmHGF3n7q32eyCGaHL82t3LxPDdN71ZX5v4+d2pPK0cEV4V9I/W8RdBvqt3q5J9xHhDnpWmBHK14IYR/d4vfVtPeS6ToIdeqyRQdp9/QTRXAkaEXIikR9PYT0lO8yUIkrVFYboE/IzTG2+rSdCuKH2VWyjG2jVXO3yFYqwP+Cm9uZLEQUVF5nNVMewrjZYOyib4lMmFGhFisl9eDDAXYbRudteGN0L8+HbJfk2EEGvHNyx3NZYg/IVig74nGVXfnQ0LleDxLI+nspUSIFdlwMQNEjAvakz+b70E5yN+HJtgIYFdTwEnQZiiHUSDJdA9ZfNlK4mDJPWDV5KOiNFiNfQZx1uMUU6b5hx5J0JtYIe/H1+E1mpBrtJ0EXQXJWVmdAlhMGmJ1YgYIWrOppbOnkzy/eq1h85VC9Bdqvx1yjYyPr8yrylegqsky93ZIYGlXgVXECaBcLFDWirxm7Ni+AADQwleXvtgPp3gsqV09R6bTjFIEO6xvkbi98d6lQ6GGMQpdxq8xGirOPbRpkP0L28ZZ7vPPeAn+pdfe+uGVk7fG6whQmS631rWcFEA1wCBtepMUr8uaPw6sYPCW3nYZZF6c/YUFfVnEszgHOg/KVUCFom+VSwJNps+9+OskED9c4SpkZ0ELb/nztrcJcZI+fEAiePONw7Lxi4Uo3ofj+PzTIRrj8VNavNF6OuvYfJ+iAhD5167uuehEHbXDGa7TxGi8sV7o/Ok7iNNTfjj83T9GJK/gT/pF4WdMzLn7aqgUBK2eejHAxTOOGlkifwpPJC+uHh8H+3XHvlvuORffkplNGz7SPKrS1XJ3c9jxBhRuXZs8ksR7lZGdsyJFEFeHUUakbw5aBEHOUJwZ42YG7FICPMdy3Y+qBX8q4/+qpksfe4r+NcfkeLhzt73FC653hy/9QGFi8PlL6YQIKlf9TWWwooewYdC5l31fmok7oIPWY46qCL5l89782Dv/nm4+s/KaetE/+qG3jprh8yBVM6krjazH1STLUDkxq8vvBgC/NjoHCYh/tonly+/UWC7yjd62p7AB7l6c0j/oMLa9LExhrZnX8Gzz4rLSP/5U2mhaDIFyd5lH0aS/Ybr8+zOO03xv7riyZ1RO2vMyP4R58bzeCKEU88FDyF62mtr4b86cfmbmHUzSb/z7FTK8WJS9/u4Gt9N+kT7K6Xqct+omxT2d19N99xG9+f2CVeCZs4ifXnCrqMnx1H/+vyPKk99njbwQYJtT8EnPjSR/+Y62Xf569XM+04S4YyR/CKeEB6TtDfFrBdiTc+LhPBUfPzhTZsApNh8zUwmdfsjl6yzWwXIzFx7xX2SAKmOm7k6xK7qxrV2Y0op5P0dTSKUxkfhPVvtFOkHCxLPBXt7Upj0fp7tAAe6ny9K7hhw2YDYvb7sTLMuhdBnib9dSJ+9pl+J1iJS35nPElanxApBipnbadOF0OsRZAX4qVh/Y08c6Rfl6W013b92WQVdttMl/fTE77M0lUn9n/+1vbuYQk97RPpgzf0nD0QyKIx8XPRNP5RC/zv7FsQR/wXtN/k9fzGFmBE3Ao2nUjCMFmVsUiP8WygXECgsCFfz2DOGwtxnLwtrDSk821Clcr1GAN9LcwaUkj70aJecOAK8dJCyNAIFaF4+uOjnDAFqGX3Y6uMFYDieW3ytnwBuMzqHq7dT/3DbuSl+YMEXCpejDn54UEXhnq/85hetr1R7qR/mkb5aHzoZm+dRaJyiW73Nl/59r79b5MeLwyhYxuX4/ulPoSmDc8nphACrhp3Lq/UToD1vRFuHgwDvM43qr2sQf05O35ZA8OnVS0S37dOXptP9eZSTG2UQQcG0R1ilwGmSH0xReFjGMzlHcPPpEQgp9LhlBYVB2W8+1ttRmPGV8f6YI/Wv/77bHd54ewWtD/TqJr156LFSTgZXS4CwHoGbwnPHaZmsSlpX6sWDkeZ5QZtN6y0z5eV0FI2HrR/Vb787Bbv9QaSUpjDaukxr5G7a3nQv13V662h9olcHzLNubrylTWHE+oHbmJYkfkkWfeNC/ePRxNPTVY4NFuDLI/kBgwDTmOKWmq8UvKrGHTnfQGG+8jCve2WEH3byE0AKusFXXq8nedRRYUvrSxKXGwoG3TuymQIKnEnHSfu1R+7woXW2EQkt08oI/0Y9G3owfDaNUy8fe/OKdoiXxst+1D8+lad8th03hPDPXH5QQOE9b964QJK35vYIxxTEH8fsPFNK62M6gUE2Q3IpbIl/FmB2hcLSngKL1kGPBivuOuFB47TWcOIrL4JHqVPlp855tB/DrFczGl3p5179sNfOXn3pjs/HYqUcGpfrfMMJoSSPTxxSt0ZJTOF42YNu8AjeYdOcl0bT/pKfelQE0f4uf3f3xUzCv1+pK8/92kThsMXrYd3E75wbcuGa9n9b4FxoE/u3Bts6zgik11WWenD7fhbJg8VywtH8urJAIe/hXuqfHnOVWcMdeZnOF5N7CkRaX+uNh14+9vr5fJpWLTOYzie9z735uRdn98po83wejYeWQuqtMCE9yrv3OzIKpFk5dpP4Z7edYvPjcxQuvOtKKuOTfa9zKikpaLt79yPPXQEjBl6i9VB5dRMtouPZcqxcAabzX68O1vue3vUMaN86pIaisKvSKdBkCwVn68PusX40H6a3z5jjvJXeD3v16F5//3e7faTuTwoOvvWlY19TOB12roZzkdYde+ST2xSST/OSXhQS+ztP1e3PoGDec+GFXk9v/P6umrXRjay7UFl+wZDeVxp80hVCzlNYkur0cgWZf3b3BHfWSQqkCLH5j/h5aOeIiNxGmu+s4RqmmXdonG5PVB9w/QxtVy9uPdcIT1OQPhB4XuRQOGVXONqS+GPynkZm90EK9/cNNzmfRkE20bXC7S6FOQSl3Rdo/TdROelO3CmSf31/J+ZE0Xj1ni+0/31HNkQ6/nr3y971976/1z89cm88hQ/ifdl3Ckiez789bu11kvfl5SOZf4fya/5Egmd0av9BuVdpe3kLZsp8U+n1K+4Zu2DvJZpPz6rkFwHpdZ2Tl9FHaPt77ezFuRev34N1Jh89Teun3u+CZ/YlcTNw7OJnJuTzhOLwFU3X6XzTW+/25gGld7VlZh8onNgkv4FPoXOT/KSQwpPT7i9sr9J29urV8lOa5ffoeqc3LnrzcdMEM9ULowT/dOyPa5ZvWEzGnnD6Qc+39qMPad3p8Y9jd1vLfXreXl5WXWdHlV6j7bJ58KflTTpd36zquahF/asretefEC//oeOrI+Ckagrhf289m/1D3pDQY+95SZb4sWRJDR1PvTiRZBp/9BX1b5/u1WE5xLrlX+l6ofH+VvbA9zTfe89fenX1Gh15hiL1zr4/q/urC1D89N13y9+E37y7tw+QuqT393FLan7MURPAoaeRpc8FenHs3Z8jTz8ICakjzz0H3nTe7LV7xJTZrzeWU//nPXfvXyCVFPl+xYmpWWT+3n1Vfltj2RgB9suvKQ8VwE+nY52VhQA3GLMWnrURIJDXxZtiS+vfvecDhv07KRtXARLl11Ed6c9teOZL8pbQ5xji9CXVki0CeKecIJ09qRPlsrWPAH/KPfaznQQofJTgXWtMvr9pUPK3sfS5Q+/nvaOVjrHZk3n0OUDvOVJvvTdIJ+B3oD9dZxWZySt4AcYcPlXQHkLXh719xrdDVaSDo/Vru7ZPFevEAlCR8ogUIEP75YGDMgHOlO4WrzopgDzaM+4J/tV1PbLkMVKXyPZ3mqYLcHy10aPBBQQPmarY9x39rLXcvODzJQGS1m3duP6wAE8V9VjDzgowuodgpO/6EBK887QA7mb97J1Jf3gh1HfrqYcCrNwxOtWoUIAt42dZ9iX1do88+ob4w33yp2FVAszmSkYveUufu0Rbbq3a/1mA4FaNFysUhVgv3y5/0Dp37/nI1+/yix0CPD9656HSr/+ry2u4n+DPGSiExTnLGUN+CxB0rXnb9WFCvFTNbelWFv57f/X2R/91qAvh0OqW9EVbCI7qDPYk0h9Ekq7ZTl+IFapbF2a7CbHuYtLz1U5CMJ6oj2M7C7Gt46atvb8Q8tUkbBei9hW1V+oixNqIbA11QyEE23F2DITokftWCVERZF3qGEKfTxw3WGXxI1CIDvbqGI1EIVRn5aXaHxZiSaHCwjyxEH/8b6zzYgtx9XnEvacSIZ5NHRJ6LEaIi0Hbjr4mv9/Ssvl4s1SIWbWZ/nPDhVg+XXXb7UNk/kEjMs6eF2LGq7Cc9jP0uYN71uYhI1tovX3Ac/9Ppm1CfNjKSvrPWIQxN9fYLTejdWb5KftuXRE8Prk/W99PhElxm9lz5ojQ5uTqcjpEBP0eIUeEmK+3Qq97iDBt/R5CVfq8YC9Ghn+0Jc9Xhif29aW/X/XYc/RWC1rXz67OlR51E2Hqzx1nZy0QocZCI2lIMK3nTjYcWDQtgdi3Z98Z+6eif7qp2/DvevH/0XrTIAWvN7fyRFDd756RfVuEne+qZFdeifDur+TcwioR5Lc5p5fSz15857f1TSLIT9fDW0RwTm3/dVJJDLXuAbb+nSLYltXeuPGJ/vve9/Xqtz3XNqeJEcsYQygsxot04YYzkWKsmSCQZh6j9WHNwx4tludo3S5742S/EJEYd83kF3NoXTUj79eb0v3090mRYb3yvPifztarc6pkflPuzKZ1Ses1rVldJ8Xgyq9JposRf2xO+5L7tJ4qVwltfSXo+TNbWn85859cGJLAWLMp2sNegmLVUHWH2RKMPJSanjed1h2nug+p7TShdcn93+UFNv3cc+3OUoI7st3v1VUkePA7tp/KYAkk3sIFfUwlWOos2a4yl35fr95q8GJX9CKmBIdz5BfkiH1yGbFKgm1TTYlJElhoyU8EJeC7/Ri8RCyB0sX70hcXJZjf9/nzq9clUL916fCQagkYs+UNvwT3PskPriQY3CL28SPjuZAcQ1XdOFzYNvDh6nYJNggUSOkkQb382uNXCQofLq989l/cv+8lrBQxdoyKQ59XS6+VdElwVH5t2ysOc+7s+NN2NQ6ejy8kx6bH4VHn/NwVH+Lwt3iMXdq7ODwYZRsd+iwOf+Lto3wL4tDcNO4TLzEOiZKCgUvy4/Ci2Ke/y884zJfLFC/jwLSO+FV9Jg4D5mQmekrjMM5EQVyWHIc3la0uX4/FQaXngnIc5hIv2j6Jw8DweL9TF+JgmNAv7eHlOBg9bggbWRyHy8pZVlwFKab0OFgK984fhuNMpAjalzPxmIsUs4efdKz9X2Py4IfjJTb/a6ySFyJSnN0XvMN6vBQWfPXWrqlS1Fa4aLCNpVD12vhtNhnlXZnWDCn8wmZ8OW8tRVn+kE0dRlLoJBb+2a0thbRKeV7/yVJkm1tuvwYpDH1njbyyQAqtv3byf3lEj6x+XIoJ4qczUxOkIJuGz4BrUoxdkvJS8aIUxj8qV504LcUXuSyUKUV0SqLVsBQp5j0tyrp/QYqeY/RM+u+4jYNnaASRee/LD2SlGOF6+2lBlBTjfT6H+0RLsahq5a8QMv9vEk3HyHPPthUhhXrPAa0UeY+eZZzcL0Vd6QqbOx/I58PqJpwqksLNirL3rZci8NS2aME7+vN9oqMc2zYpCj/IL7RKkW+219bhsRQJkfIAk8K2Rwgj+PT8o50USydHe3oT+x9lxkx24klROkFeQUth3sgutT8kxcfI52supxE77+809U+Uorht9cd9p6Q42XY40/g2wel/Eju2ao7pH+gmg4vZ7JNqmjIEO/isLVWTQcVlGmPscBnkt01GjpEhKzSqLX68DCHEi2MmyDBu48knzloyOO5dnpVD7F7VU6CS9/2ZoDm2Vor35adfa2RIkSXyz0h+IUWbsXqZ53vCH57Hk9tXaDuYeXXFlxukCO05aJEi6dizyaUfpVCTH/fqyNAy656hfYwMdmrBJQ8sZDC/dGvGJCsZPP5nweg5/id/98hd/o8OMqxe1zdabCCDWeTLna+0ZfD9cObxjEEyWPzZk89RlCHCU9Z/7QAZbmd0vT5O1tXdGtsiIOuodb/ZOvivFC5/fGszvksxWW7uYBm883Tinf9IEW/M2sgaKsOYdN27bgSnrXWzXYabyuAkDP7wM0WGZm/5RXcZFno+Ku8eS9vba0eX5e+XceR7ftrcOL6RDKHGWZY6xjLEWcozmAzy07+qFTLc0ZNvkLL//3/MMgh/B3x/7yfDYlIFJpDPPW1MUuc40e87dK5au3KSDGf1ns/pHyDDHOPvfa85yDD5cwuv0leGzhzVuqf5MtjL/y3CS4YbsaURXeYyIHTSYr9gGU78dhmitVSGRHl7ZC3DtnX1hx6MlOGN82b3zCky6K1bbtrhLMPAD9qkM5OBMX7ZlS53GeRd2u4ZMgzxHEutnivD6EsvdL+Ree+eXHG5yV6GkQ4lP/+SzyWKlw/OIjg8jJAXkjIohDKU8uJkUByvPPz+fhmmvUo1uKq+F/8Pw41M5g==AQAAAACAAACAPgAAgikAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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+</VTKFile>

CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_300000.pvtu ADDED Viewed

	@@ -0,0 +1,23 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+<Piece Source="Lambda_2_300000.vtu"/>
+<Piece Source="Lambda_3_300000.vtu"/>
+<Piece Source="Lambda_4_300000.vtu"/>
+<Piece Source="Lambda_5_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_3_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_4_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/Lambda/Lambda_5_300000.vtu ADDED Viewed

	@@ -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="2121"                 NumberOfCells="2000"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="22201"                RangeMax="44000"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.025"                RangeMax="5.975"                offset="3352"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="0.025"                RangeMax="4.975"                offset="3584"                />
+        <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0078647"            RangeMax="0.017582"             offset="4128"                />
+        <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.15729"              RangeMax="0.35164"              offset="21596"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5"                    RangeMax="7.8102496759"         offset="35776"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="41812"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="54868"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="58456"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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P85OOWlPip5Q5L62FcgSLH3s+UiN+r72TV0/mJRj3/lP2Zxk8M2UBiz/JsP7lgVc2D2RY4rdSL6dUhpLOYPKNDPc1D3HG1Mqwoe+OQ7HEzkj7+RG37jL2Xyarq5whQ/+rd9+UlsggZJ3cpXxJhq9Gxa7tZL7H+g77ZFwhwwgX7znZ6TLc2NFnlNstGRb3TRLM+S6DuVHNtI9z5Ahqc+hVnydDiN6NqU8uy8BLmn3s7AEZpn4vjnqYJMPj0k0TYs/JcHb9E27BTdm/6y8ddeed5hH7PNwck+bKMCdrwoEyfxmSbMOmzl4iw9CskCC/7TLIrg6J+bNDhtVdEyd+zFsReuCoDNsnJ+kOIXbp+PT1G07L8K15mPkvkQxmZhUGBTLG7zpR7da2k2Tgsr0KNo+VofF79cyIScz7Ttgu9Nk9Wwalt4YTvs4n9heOiywhn2U16rO0RsmwLv66Zaq7DMrjX12bbywD605lRpS1DA5f9ft+ciTrULPi1yZyX2TWj8qxs2TofS3c0H6iDOlmxvkfPYgf9DNcXpP7vVYpzzF0ILia3JS3ZKkMa68um5UQL8M148kxodVxGDpGSVKVHYda168bPhyJw9drtnZb8+Pw35TcO3sfxyH0opPt4gNxqF6bws8piUN/g9iZ76viELSrYtyyl3FINI6apfGBfD/Lr6fjpziwHaN//Xc4DrvHj1spfBSHl08/urenxqHp/dDPgvQ4eLSn+u09GIcxji17+5Dnn0z/k19fFodxsJ8QSN7/6I6PlvvPODztFTbt7Kg42A9sOlUyOg784yHtKV+lcJFx+q99LsUDjdtP79+V4lNcx7F9mnEQ9h+93Zlcp9G1QMT+3MXDf3nFQZ/eiiOmcWi7NaSXc4cUTw6fvqRPntP/cof9ujwptlfqk6WMw9Z9LSfzzeLQOcFyrK1yHHQ+SHz8f0jh9TB5h3un9N9zn28eU+odGIeRuu9j5k2TwkT1zJNiSDEu/96avUFShKtOgVhHCm/dvDNnraQ4fuKpX+R8KUJsHvrzlkuhrDt0dv1SKSpDRsfXbpPC9feYjXcXS2FYQUXqeUnRpvIxc+ESKTKdhKlWW6UIFGXVNK6RIuNRuSHtJMV765qVQS5S8PKX3w5wkMLv46XOjMlSaF3wusdeIMWJAYlv9YRkXnk+yZ9nS/DBfgChbgnCJ2s9yQyTIPhP0uPDpyXw1Fv43jJFgqw3f6U5CyRwJqv8d4kE5/eYDGJtk8AgLZGWbJegI+J1Sr9sCRy7XiTBLc0BM/PPSFCwrP3Cc1oC/Q3nb01eKYGwLUylOliCBLWco4EbJPhT4JnaJ0CCfQEm0pNVEpyMnT55l5oUbqrbtIeNkOKv2e9vEa/FWCqVsZyLxbBXGqRjdlKMo8Jqj7NFYvwobK/e/ViM2x4jdpm9E2NQPzFndpkYa9PLRty7KIbB0zXm2c/EOHBsR8CWR8zns2tHjv2eLsa8syynBUfEeGYZuzqgXAw1qZrRxiYxbL4KH2zRlqBMR8l4xzcxpmlrDlz5nxiNGxJuz2wQQ/T9wiErJwnkvRzPppmJEdRrC9vOUQxqf2Ob50xy/YxHeVuniCEM0rRVsRbj64IXfE8d8p69Iy/eniHGMILyv4PFMKxLTrzeIsLQSzk1eSpknrdWGC4aJMZng3yLXHMxLIYG+c93EuOn+aHRDV7M/bOb1Cb0sxPj2AjfwE0LxUgxsLz83FOMy9kpY7/5ihHneO9p4kbiHyupal6CCDG/smfs2iPCoPOqJMWIcK3u9NoAGfN95/V7u/v6igDDt9c/BoqgyEqnN4hQPbZfaOpuEcI+hKQ1kesXJphJI8JF0OhZ39i6Q4Ss6y4DIRHhwGDdvRn7RDg6drbTxEQRjq22/s3NZ77/Sh8ZHBwmgvCQAqAiBM2E0bxkEe6TaPDtI0K2zafww5oinIueF/2qk4ap75OxT3uLcMd6Y4/zpiK4emlbxC8UYWxGc1LRSBEmvND7scpQBO6jpSXPB4qw4DfHnW/M/D5JQS8Qofl8bVT1aHJ9n/biUxNFeBHCDt0/RYTEIecrBvQkfvBaefV2LxGOqxQOdJ7DjNusX6c1zBchVzOjRVVGQ9ow/uB/Yhpzx2lMc8ulMdyePj5xLw1uXwufL9uY36PG3d2aF0+Dpfmy6MARGuv5izwvVtDQNdVaO+cajVUnZ2jfP0ujyu6Pa+B1Gr/sbmy7S543uNSxqfE8jSGdA487PKJhX+ubfK6JxmfRbO/nb2gsDX2oVd1Bw3nu2osnvtIYlvhXFvOTxnY1e6+z7jRK92zucJxC467a9Qt8Q2bst0ji23sBjXMFRv07ltLgvJyRlLGCxrPpCoKkcT911d+IEBoFJx9sPiigkVIq4pltpnHR1Hxi82oavu4CgU0MjUGjUrK+r6Exrc0xqtiXmbfaUV0nI3LfAvsFr1N30pAULPpPGkbj4WPhKmPynsJ5K6RLTGl0EhadMphGbcHrGX7TaGTZv3QLmUvDf1BrgP14Gu62uVHnTWj8zgytmjCCxqc9DiMzhtMov71/6euRNEa7GH94Y0ejOvNo2h3QaFhYZp0dRGOE1lfK2YNGV7oi81wSee31ficaq+fdHy6YTyP99sNh21xo3PCLn9hkxvw+54/l7g4pjU03g4XWvyh0lZvk9wGWHU666mQd07YRxqchGnQuKX0QWfe0M/tPWtJ4/sYovfwPhTldCZaCmfp8syVNFDTnN7ZbtlKgG588nv+Xwqt55iVXejLP6eGRvvjBEBrHj47SKibzm7Oh+qmvNo1bScUJsr40pvikjLujyfweLJlmye1D8BEm06kj101gSz68aqdg7jDm7eEeNAbG//HVIvcp1ySOf6FHo+32KrG7LsGRbZ3Lgok0tgQu2BRmTiM3cq77hl40UgP1Dz3VorGmxWf6lEYKbnc+tg2so/CesNUKJfrfqHTsfLjoOwV1/at7Wao0JpltvW9hTMMjkHbsOYlGhxrV3KLM2NNtX7c/psffIEhkntvt3+732gsf03ZlFC5J7koXvaL++XOypaJCptAamNHz6AsKNYXcnffzKeiTKB9URGF18Y7YltsU8nYmNFyrYZ5nMHrqi/WPKdT7FChtyqXQ873VZuF55vrwv/L3999T0GKXnYvqzaxv5IbkXmVtFMbPP2kle0aB69HaqknGQ2lTVHZ3UqAKO3WV3lLwZS8c4v4fhUiHollRTyjctP3dv5W8zzPrp6M68dMxnbgbt6vJvLw7btUfozAzubdt+S0KBx1iY15dofDUY9ey50cpKLqyQ0WM37ufM3DVkNSiLxS+JLEqOonfmkdFH1FpofAsz6lm+xsK/zWumWJ6n/FHU/xL/wHJFHqZe1WPOcy896JPyx2168z8JS2mkYfvM++1Nb4XNPUSBUX19vc4BdVd5vP3nKSQrn7oYlwmhaMk++w8R65TlO8Hmed1z3/a6B59qy9T+P7kS0X7WQqfba/PXEbmp/b2ddW4Bgp+hba1iT8ojFSUHX+YeXb/vmFVrproOmOPlyvf+6KcwhN9RQFB4cadKXGeaRReF98dZMmjsPfHmYKFWygoGwTc/hJBoTN8gtviGAo9OBtaGndTiHrqunZMGLNODsWFc/hkrK6JsHuXzlxXKBwxPDSWgr8w5XJaHoV52r5f9bIouHYtPAXtT5v7vaIojNrVyP6RQGHxrpNnV5P7+MbL7+lIKVxZpWiUKIw7q/PuIJexQ+GdC3wKmVPKTezIPIq+jiUhQp4zS/PasWjm++73KKqZGDGF/Xe2LX9fSGHfqnCHNoLXG8l+d5XZFGw448w911G4q3DDdmbeO/ptKnu4kplvZ9YAzcP7KfzWUTAyhdqW4zWRhxh/bp+i2nQ3h/h79J3pTkcY/HXPr4uG9jP+Wfs1s3bvBQZPv2uc1s8RMnalVV37AQHhR5LFd7AYf52er1R6aw8Td9320N4cm3M7GL/vdJ1DDYtm/L4l3VhdSJ6bod20vH4rhcs/tjUWL2fG6P8k6rxpBPfeikaOgvWxmOy2Wuof3/Qp/jRw8E8GX2/MxOk3Ca6LLftqFxL7j0S1xrwk6xNc1vvKgRAKF64tEOiRMU6aK18ZzNhzefTSY9rbGDsH+F+vHhnI2OE4wv9wsx/z/UgD678+vhQs/1NOKyDroPSOq5m5jPrH4915oBvfV+P1x+SeovBQx7tz/EWGx07oKwpQCuXqQZ87RMy6PjdusKslz/f8r+yBMXnuzB4XRDYzKHzTjrx+loy8symzw70JD2UHZv23kMyfdKWx/hTeXtMv3rWYseeO9qm4eQQvtLmiQWV4yrtm6IHceoZ3Tnqcs9h8jcKHm8VD1xA8vmRnF8UmUnCSDrGWJDG80o33+LLqL6pLmPdt3jjZxWEthU1KdqbTVzBj4+jB/21ZReFB1LkzrkHM9aR58f0CCh/HKzpCCu1PE5SDrEj8v3zwd/No+l/e7Lazp7HmhKcPGf9129uNbxelsI/PCD8YdiUsCnplrCW3UyncqhKMyQll1q3br/3HvOv30p3C8FzzlwGLKERs5r+R2jN4s9jmYqTnQHjW3OaxvQ3JLyMsn3uT6+tiV5LUT+Pjlcq5B8JpVNpn7Hg8kcl/3fwcllwdOO40hd7e4/bFlFAYtHadc78bFEK7AoyxpxuX3f7y4XR4X1hAeNLkxHoPN8LLZHbfrZmxV9zvUQnmFHYbKDoWxl7hxbqmsuEURqS62zy6Q2NkpvzeyDQarSMfh8l30LCaXD1bHEijqGjN6bnWTH1hWhXqp1HJxHu33RHqL4SWxQSXDjPPuOUwPNGcbKG8fj2FgOU9UrIDSL7d/2FClRfJm1T0tSOOFCqyW7XzhpH8YbBzf7wBBdkYuxO6KiTPZJ+DQW8KJbPDmlTLRQg9H/dy/1YRHqvsmJM1QQTBi0P+40h9G9CwaWNkFg2Dti0uCyOZurC77iv5/vD0LJK/F0YFGvQ6yfCfyiwXyfQ9zGfS1Dn34VA47Nr/kng1s972JRnm8ywJD54dkT+N+IuzQBFgBPdKwuJoPQritYE/ZefE8CVZK3maGBmfn01yeCpC/fawqMchIhhb5FWOI/0HFuYtV7tJ42anzY5nxE7ShKZcInVr8qgW2JK6tTtvG3U5huHv7H7jfzrPZNbv5sbyYz3tmXjtjufK/ww3efenoLBmxW/hv9FhVO9fOXwJtuhsLThmIcGIT2/XSY+TPjR79RpfNzEyh174JfgqQsKZXuHHRSJceN3rT8w4EVbrqsWFfqLxWnexdU4OUw8HLjK8WWPK1Hs/tKrEM6qZ+qKbB/I/0a93j6SQlbs1KpWsIyGp7ccNKcj99UIDBhMeW6AgFgpjGrxWeH+TAH+qMqaUS3Dw5dlPnrslSNWZ1Ni/jwT+46+qPzsjxtuNk1TOLxOjzeTXDWVi73zZ05bBB0Xg9XTgWpO+bOPH/o+Wq4owbvq2gvAbNI5mvl0fsISpj7vrue48VhkeMqBlH4WpP4bP5WQwfN6dNxRZ/NlkwgsK2S9WiqiMYcOq7KToLb54nFKX4mto4u+iagluZi4qGRAtwZIW9bU8cwkq9D2KH5SJsYD6MHDJCtLnb/J6sPSnCAdpRSMgwvXzg1w3zCD2V2Tx7ZREuFvxzSz0Ao3JRf309Qg/OC1auCfCgambu+vM7vqpu86Zsndd+VuSj2arPHx4plAK03tjXv04JYVqdG0lTy6FwNBovlq4FAoVvna6FJ+D5/kGqEiRnDrj06KrjE5zSrLtzAFDyT9dZNlPpxeZ9mJs4fZ696yO9NO9M0237RTBtytxirAy59eG7XVM39bdF3XjYIXxvgM5JD/9ryBP4vd6QWhLnhTcmafCfxdLUVC3gs6tkCJR1jfaLleKYY+iYjzZUtxIGDy3PUCKzXYmyi9HSfHH7bDLkQYJni/cPO/jIQlmPOENSZkv+afTjPOfMPKFQPxPP3H3DGoxqxVBNmA4CUkR7tkUZvf5QmNzV4ATeyMnbq9YT2OnVmxrLyMa956MSpQQHhOTbvVHtBTlKsPDPoRIsbdDkbCkYJ/oP6pPkBRLojfZLV7NrP/1NRBlu0thXat56c8wKfI/eqza0kcKp9Jj05JeSBDV9/4ux3wJ5uftDRSuYXDc9nbs6KZ4MVYf3OA3dawYkV2Fjgg3PvxQL/YX4fyJ0c5j9URYeL/ZQvKA6aO79b9tj1TrzRZKIfKafuqYrxQ9Yq1DXhK7dBRttA+j63XrdcFdQGF0u2VznwxYaSCFfGT7qJ51EoSsP/g9pViCAYGhVg0iCYbt/BR631cCEiTJzVoS9N+44u/Je2K45MaP141i8NCt22RYH66a7yCCCqsya+4jcn9fV/3gNxLE1O4bdq9dgloLh3bWOwnOL/XkBA+UImBp6aBkNymaVl4ccs5PiiSb/fuaXaSIDJ2xmm0kxVvRt21mJlLMCd09xshWio2JdsYJPaRIdx71cH+9BDfuN73rVSrBqyvbw9/kSvCsOb9iTrAELVq7Tol7S2Dxfn+5/Qsxtp11I6lCjKn9FYq5GBdKf728v1eCkfMK9dcSHPmTLtfnsQTjFbK4khTruoAtxZDHgwpLvkog4JfmbGiWIMJ57UHbP5J/OmtC4q/5f1okCLvvu8uZXHcwVDuhicRTt97YzV+Xx6kplaVJ/vHu29ISHcddEtTfVhRWEhTePDhguoYEQVWHmwY/E6PWT02S7CqBQkUaFChBr/ijbE8PEo83523TnMeMjxrWj/yWKMH1VO2hl3IkWGE6rXXNHQlCU3cXf3wigfjLndv+HYzfNZoflbm8kmB7hFT52QeyPtOHPj1P5rOS/3erKuGvMxfWpw39IkHX7kKRBMPfnGgLTWT47MoD6aAYewmOS43f9xKLUa/+1O0I4YeD+hxB8CsxNtfs/eKjSXjPrM7y0RQJXMLLDvzSZ3iwex4ztQJrP2yQYELbu/0qyRLsHTflju9Zko8eHzGOJ+sZWBoWoXSD+ezVJeRI0Jlzxdf/mgR1vqsWj6hi9N3u+9f4nWldRXB7/9NP+7HzxFD/mbeleq0YJu/aV3ntFKPX3Qij4KNiDO0SrMTo2ra4L4ayIm0TvmOZ5S6fbClBlwzqTN5bWKP2aoIEoxXpeJIEJwRjB8xwl2D1KIWCKUHk0X4/kolfHhWIgg/vkGCHnqGJjEvWU/xwh/URCWyKLjquILgs6nyRZnpaAsVu0lSCg14a08/EajI6boTJMavySWIoxeUsqCH54Zd37Ce7UDFer21d7S8Uo66qk7dkjxhs6eLCrMz/p1uP//EgrEKMHewbkR1KEiy3HFM2UkeCNBfDY6utJXjZ9is4k9g9RKdxzvNFEtQMfzmybTGJx0GrL9Z7M+vQrbd7z9sxq5Ii9cCanUmXNhL+mcp+U5YkgmNvTx6ui0CCffmQxyJsPfch20pFjNJ3vW3aTMS42LXjweSJ5n4KhVKMB+YvvsesF+O6K0fXmSdG2q66adG0GCeu/Ty2IkcMh7XP4q/WixHlkaLnOYCxewNB4cpZEhydp3EmzYfhza60v5PYX36TMzpShO2yNHOBUISHqz/bNB8gddWHN3ZGV0W48zk95CAZFeq78W0RFKr8rxoRzgTdC1zfX4z8/Scti8YwuvrhTxPVygLFWKVU60IlMDr+7+IpBIJi7Bb21p9XRa5fZbxiErHXLUrHaWGjGB15xydYqUvgXlN5+Yup5B+OuvXnyBtmg9wNRPhZPnDI2rEiFGxVFMQi2HRtNDH1a8OrMT8jjohAksKlUuJnxa7qtbci6Cm2nZXFUN3X+mk8sbd3V4EvRtmsO/l7FpP3v992Zyqx+1264Q2NSDEGGzwyz0gSo2ZVznWtc0x8du9HGJMq48BbMeiT2nBIZ/Lga7eJHztIfUSSYVFaIw1JtHBmlI4I6qHumSrEXta9vkO5bqRerVdVSfUQ4fVzao+M2K8c/Ff1uDezDt329+0t8nzyXIRbTYvveXwS/at3OinVxo7fItTs37rc3ECMaOr0nCuuYjhWc5st1xDcuHq4Z20S/9OXl73cHTBpK8nPqQ8Ts1NpLNHUF4y/Qvql34/eXn5E/6tHH6ZcvKX2i8ahjps6SsYimHQFiAgnJu59LlonQpfM7CPC8p6bF5TMEWHSiRcHvy1n9h269xe+DZ1BUpIIp5T7val4JkLg4YI/CUqEJ3LrKufYiLGuSxER/9NJ05LaV4+wpFFv2rjOezaNz53fTk7zoxFtr6/bg/RJA4cvVM/cQ0O32TrrF+lHuuv9unznvi2VNPoZXbvZTuzv3mfoat8cRejxqIdlhh9TZ9VomBZS8SL8N+lv5LM8ERTdw45LIjxYcUSeUCGC2ZKmZTpkbI7Re118V/RPFxqSLks9d5rRGX9OPj1v3ycKllkTe6Tq0Hjp/sw82J5GxZ/tRjbujB5P7VBUxAQfpaWeFygau+7nL2sn9ahYt6LkyRMaXWnhNw3vYNGGncMJLww402ZnR/ymkBeJ/XUz5YV8LxFceU31b0JFiOgSyEVwGywcVXVD9K9/6tYjuuvW7n5L4+ysUw4ppN+65nB+6x0Ky7sKNEaH7pm38nnYUlIH/2k+4xdFI6j5rPbdCGbf48WL0eXKxQyuFbszTq9pLLJTKOEiDP99SXcw6RcDThx66OsqwqfBB39uXkvwsm5LyguuCF3t63chZvVSGSnQZ/pSxemKa+GkP3a9arboKPWvXrSKSn+bWUphYzx98/kr0i9qzbSIUKFh0yVw0wgdNaJXxQQaKl0b8wxuPpUaNLdOpyFv3omJvsw+x1/n3gOH7aLhIn5y8Vg+8b9q/KAZj8k8Y7XPBH6nUfVuda/jb4VYsVjRCZE+oKtwYPp7bwOFkkoh3NGX1ejB6J7dY7d+2K3TdOvKHP3+JGUxevuVNlH/rwY0TrzUvqM1g0bE7T6tfZfTIElmslU8DceCW5GXCY9ouf8csuoE8bNz8c4P12nM6H3Yv1MoxHiFnJssROKkWx+uZQkx4ZvFoL5nheggVd3gEiF6XLLnK70W4smC9WMzmoWonmUmm0366Nmo/fjYloybr54cPp/Rfe6RqnLyGUbn7+6DBv9VZysZ0vi+3i1cOolGTpiiE6GRMDz74IvZTHx2188ddXcieVOEmJhwyu7mPCG2k27n9zoh7s0uvXlRKoTvtw/zotJInzx23s7CTCH8rG7rlBUJ4TLJmdtaLQTbRPFCRs95MV/RwRM7Np5+EbSP0YsV1dVKMsq+Buv9PkRh5fytKzuvMfZ369vdeoqepPBK/mQa7XPGjkt4L8Ds+qWk9RTizm73K7tMyPu3KhQsIUa1xp6xWiKEeOzzt7ytjJ9Ntzcs4B8TIl5Z0VkKsWDg3uAJF4R4VVLU2nJLiMxt+wrntgoRnXvSZaIFo/8VeHsEDAmgMGn51HWTd1Lw9770a148hWhSVZsQXBc0pmqdb6DAz8uLONqP9B+dm4St+wX4fXl325sbAthWjB8rqBFgWp9ZScE/BchPUKn6oyGE0lITxypDIcZ2lHvGjhDi9PWkrx1ejL8XDa7pKaKF8Pa8WPH8sBBJm46c6HdNCDpu/q3KF0IM7c9LiPgrxOeNcf+FDaGQqPRr4TFXRmcWzJ8kX3WMgsWUKPZvwm+309TsGl5T+Pbxwpy5bAG65NxkAfgVVxKWnBSg0utMCrdKAOeM6RFbWgVIOrJlhpWZEHETFRWhEF3HkxYIodJaFHMtRAjht9PsV3wh9lRevXV7vxCUldx1LMGDoor/TfBREKdHKEeINGxadESVQu+Sly11UyhoUgUSeDL+7da5unn5k5FCyRJg2PCc2uVLBXheMfuP5W4BaEV6PCDAaN9RveTV5HeFDPNCgIaQJ7MXqgmhfmPYiltDhbjeu/OXzXQhTskUB8uE0O2p6DQZv3bjIWBf1fhLxD7zV9kPLQhfxP1c/OFGnfCfjlZgvj7jnhujp3brckuSLj/RMRbg6g43ieY4AbLE55UmzBJAPl1xYo+s7/3KYP11ApCkTgo+xr9eX5qMVc8IsP6FjRa7TIDErXs5z9QY+2TrVGaMWi3E089fZy0jfjWd2TPOjsTbrO0nuC17GH6gVoT12H1FiM2HNUloEbx3bTQL/+lZo6tuOF2N56N00Q/NoHN8LOgS0PhYHPhK79pfPo7sUQSAAPvcMxI9RwkwgzVFbukhQOMLhRAlQNO0aVY+FwT4sNX0w9FHAiRMK7xGNQrwbXeftjp14rd7abcfDhPiyAeKVEpC5AwODlu+XAgdlS8Wi8KE6Ck7tEZjnxCHY/5blEV4zOdzRp7pXSGUPW3WaD0m+I2KtRy9gg/LtZcGVlB87G+J8PJL4OP7qHuc4nw+lm0YUWjwgI9Ng2ZO+9zJh93kESNmjBRgfldDzvi3RFdR+QtgeLJP7PlcAUZ8GUY6WgHS69/NGP5agKOXFQQtQFc6NCLrbKhQ0IWoO7ApZM58Bg/t/dckx1CMf6ebb3o7fxEfsenhtVPd+dDqF9bTez0fTm9/vvHax0d722FzvZt8KP3da+35jY9bzYnzF/cS4JT9uGGWAwSoVrQjzgI8S9zo/HS1AF/y5R8O7xWgKGOvzvFjAqyo+L76U6kAJzoGNZ+vFWBmtGexH/Hrs5UHs66qCFE2YFqKYIAQX7aXLowjfHa3roeLyWIhfsSsv7g1XoghXQe0+Ig3PpVbvpCP94XPllLbGX92ldUH+HDWf5GVcZqPHd9Th4//j4+4o8VntHsIUJjp4GZiIsD+gqNFbnYCaDzweVDvIMDBhbJ0yQoB5ixUc7gkEqBjSHKf1DQBjstXBhseFeDlmvcuBg8FuMeT+z5sESD8xLdTBlrCf/6d0lP5e39rgkcSnU/aeKhxHX33hA4fH4UudrIxfNxRbJf78JGr/i3JPZgP/2PJhboyPmQeMytL0viI8Dk3rZngNdws7vXMCj5ut71uOV7Dx/CuDRQ+lG23fjzYX4CvC401fEcL8MY55epWEm+Hv0Ryqwmfnf4dIO6bL4Bid9rwlQDn7lmPz24XwDQ/nzC0EAMeLVddbiHEG5PXHtqJPHSV1xd5mBtkycl8x0OTOe/M53YeNnxa6L3OlI9WRRg6EBx693+msYzEzZ279hk7+BitnvW77yk+NMPrPqYSnJr5jHxu3EBw8iQzbLIW4f3O2aIfwwT/eEztdj9bWZAAiqyVKCS8qjilmCrAYCP9zJOFAghtYow66gXoOs73V4CnMx6oDuHwMH6gguF56MMNUB5wnoeBK7a4/b3Ng5PJrej1xE6rHu4TWOZ8NM4f9Oj9VD5aWpSLxgbxkWaZlq/O5ePEhgLjxkN8/Dd5KknpfBy86vT961Pi30UhGQn1fLzK/BPNUxfgXd8eaTv6CrClaNRwuyECbHBXrDTJr6YWkZtCBZi+o731fpQAZqZ+09UFArCPH1nst5KH6mflr0ds5+FPr9DHr3fxMFIhbxXz8OK/EI8+T3kIbU/5ermVh6fa6hs1hvLRM/c0t3AcHxZ3h1Q/n8CHwacyEjl8tPlo1liE82EkDBwvyOJD4qI4eMfHTcGz22ermfV3W5QTMuYPH3v1rj9S1hFA9lLRKAmg0yUMCnAm9dORm7NJXtNQmxRvx/tn56Itih1JgsfTT4frSXjwnX1LY/IBHppHVHq6lfHQoaQ40MHDVOpe6qq/PFwyjnw1zpkPP9cX4yKW8HFBX3HggbFzreJYx36C63mKkybk96Os+i0tfIy0nWSq+ZMPz64Ne8ZeQm6R68cIkFP62v+5vQD/DebG7tTkofVAySx1PR5MVNxUehN7Q8cqTvby0BXGkTxkbfpFVfB5eLvgivbyfB4uLFA8mIcqR5SGv+Zhq3+WQeFPHuwNdr8YMIyPrjJvEh8Os3xT1xA8FETNXL7PlQ/zssfjuWsYXgja6bfiWBXDX/Fv3pIOhQ++mnhMaB8BPB5FDthZzcXqyxeVfjZycVHWp6//Ly7uKI71GJF1HhBzNN2eh+TVfdjSxTxkTlIAkoc9Q1NZchJXedua5D3O8TCxS9jkQacrsHjoOm5kxMfDqpda/hMZfu2Or+XaCmYnfB/19coKER/b419lxGfzcc7l+uqHhQwe6qz1r1gd50JxOs3pOhf6NqzlUW1crFuZWTe1Lw9+H7yGfh3Pg6L6/O7Bg3ZXIc+D4hQqwnj40XXcl4cGqmGj8iEevvh/O9NcwENA08mP7GsMbhc5Nls5WvLxbZXXzp3T+dhoPt7gPMGFtaPlt/tT+DhWpf+kcw4fIaTaWxLBh8dXW7qO5LEj0bZ/Gw9wgd9Bd+OuMH5MLA9zTlcm71UcVyejmVPomvyhPIQolnkiDzmKcmspDzf25ZOVY+LLQuPj+i97eSDN744gYucrg8RjBaU83PK32c27wwMWf36h85aHyvGKBEbW9+zIr9ds+SgR7lIZMZMP6akcYbUHweX4LPqNNx8+FwyS9GgutmSs5O1N52KixTJBZi4Xu07Mlty/x4WQ51N98S0XQdY3hrZ+4f7D6ybFNpoh8ef5hu/VM3lY/23qSJsAHhQq1K4IEj/fojvKdvAgnC11yib8FaE8dvxGYnfKz9yyXblkniWXbEMf8RC3QGEIuZ9ks4FqfAxSHPcnfGtwsXGk+3g+ch7sf9Q6j4uKhyHqvlFcTEk86vGZzwUpnpcs3s/F2cvu625f4KJUxe/BiSdcnBumcBAXH8cqTiTwEC9zf9E5gAdFVEUMJnG+ev97X0seFs8cmr7EmYehimOdK3govbXHMSGKh88KOXQnD4PG1gzrweKhS8ZP4YGAlRA04Ye7CkGFh+XbfK3t6snnoQdNbuuT9d2e758zmIuyD9q2AxZzsTk05rorh4uWezNcbmZyIVMcfybrP8JN8c8HLsSX2RPWPOBCbk0vWfaCiwMqip0lLtZ0EQEPLuXvHlba8KC70iAmbAoPitXdN42HwROH31jhRdZ3k8KBjH/zYxQHuXn4WNK38oiUhzVdCY/wwqG5wUsbONCd2WfjZ0MutjvK1VuHc2FVPN81woqLkyo3XfdO5SIyz2NT0hIuIposzD6GcmHiPGD/sAQutLoKFi6SU54bHj7LBWnOki2Jn0NTdOsnV3Ix1cYt7hWx/+TuJ0GVP7jg7u43YW1/HnYPUFRKPKgbKutJTUkeGOhUa+HAw5LtKv5HCK4FA/O2ewfx0LOLcDgYufy536gSDs7sXxjiVsOBzsrcpOxODr4fdt0U+ZeD0V+jsgcZcPGzl2qrngMXYZpXkT2Lix4DWzs913HBP/362fZILhpt/Hxjd3HByt87yvIQF8cNDd+NKWHsvFZuF6bRxMWyORunnOzNQ9exLILjgQl4pT+Kh6SxY69OmUTiSHZxywgXHkZsN3okFXAw3WeN4i8TMJs2xwR5HGgpuZ5a9YCD9VNSay+2cDD4lL+z43cOrqU0PR/xi4Mo93FTMzS5uBVyinV5ClnvYaIZJkFceM/ViRgSy4VZhNPPCoKP7vhT7zo4z8WS/MrOy+e5UIldQyprLmJeW883/ciF9YkrFkp/uQhXqQ6u6cFDyVhF5Un4Lflc06RFHJgqyrMoDtTXKeneknNw+lRCa/ZhDhalDpHtO8pBcIKfv/E5Dk4em+s1/xEHbZedXNhtZB4RGSGnP3Kg+eX34B5qXMRn75g+yIL7L+6K5z1Lj/bhQs20pck7gIttB4/aNmzl4r3i2EUyF6S4IgzE4NtuqYNHWxkXH8p/ZYZWcaG6l2/EG8ZBP6uLRYZkdKi94GXtzMHn6dzytHkcXEqV9tsfwgGX19Lcmkrs8Vjb3ofYedqiPe/bNQ74R0dHyJ5wsHZeYumNeg6mqf78rkT8fen4u8s2X8nz9I7anNXh4lWO3uFPE7nISte71OnGxaUHuz5ZuHARbKR7V3UpF8+HjDjXvIMLS13z1zrE3qEKuf0i4Y2IhncHX7FxbpC006+TjY7rW2+m9OJg4X33V3/NGXvj65vMX2/gwDo/5ZWI5qChpDmiI5uDlU7Hb3OLiJ8Tdro1Evwazf7t/5n4d8rcqEb19xzMOiSY+PkPB5F3xjpmaXBR92yq3h5LLrq2Iwku6IhjO++5c/FDfVXOOk9i37iex42Jvx1HZgz/sZPEWfyBL7YP2dhuNdJ58Hs2Ntx7ML9GmYMc1YKepjpk3S73mRY9loMjsX0vbLXkwDNuqNjbkQOXtlmZAxZy8Nb8RIPPeg4WfHO6MJvgeMjDpgVf4jiwiN4aU5fCweUZd+STCE4SL2htuXOdg9JVBbtiKjmYOuXJiUU9uDj6dPLgdOLXJ5PXjVowjeDjwbniS8S+ESc0841WcDHkvcl53UNsDAqJ9NlUwEaYQj4sYuPR7OlPX91iQzhp9dtTTWxcUk00X6TGgVODypfY3hzsEdxraDbkoCkz9d3SERxs7Nr45SDOQfEPOA5+abc9fLabg5Tvj4xNkzig8yJ1G3JIvN2v3WBI/L1taFLfE2QMjVkn0iF228RcmbyV4MNEUa5942BJ837Z44Fc6C6UhliJ2TjSXNT/ZSYbUng+O3WYjeYrVhp9rrPR41T/yZOusDFtTPg7FrE3tbNU6R3Bg3Jdtqd9Dw68FzaPydUmfkR8/loj4rfXO+PSbQl+uao30+dyMC5oY9qzAMJXsocNfTcTeypHG24k/lUe+/SMWRYHc7a29u/I58Btl/tJz1IOxNWFB3hvSDx0Ccgc7Ls67fHJADYs1mzYGLiNjeVNpnka8WyUGCgEcTb8qjlsL+LXa14qGsuK2Zga9vk1u4yN0cfiHsx+zIZr5enNg4lftf+O3zuM+FNng9M5o6FkPUlVMHEKB091jBPDCQ5km+t71wdy8GfOwBHcYGLf7tSpu8I4yFM+O2KpkAPVuuU3jAlPXF93OpRdQe4PU5wk46D5e3uaxVA2JjfvG/zFiY0rVzW0DOaycWHuyrQtK9hQ77tN3S2EjS0HBc/tiJ87sxWNPhtOJcHXRJfZSHf8sFBazobx0vFP+nxgo8A3KO0cia/IQP/kW/ocrK7dzd9DeMEjZ6v2+ekcGH+xvrnIm/h9bIDRl60cGHb9kYEDAXev6wEhY++Km3N7T0gn697q5hnUwoLqlV9qPf6ysNvfhSUczMbEqcE5nu5snJhgpV7jy0b85FS+6k423h2f0rsygY25srKSm7lsmFfFivxKCD73vTh+6h5Z9zM34xpInAVme1g1fmPDbfpZwUAtwuvHoknnzEFdy5adBQ5kPUO+KBWD8PztISbr5nNQs3NoUdBKDpJ1tpCSmYNJ6t+f3YrgoOxGyuKrbcSuY4E37dTY2L2uvnyiOvGjzt3EzYZs9O61XtNlDBtGS3cFWBF7i8p9s8OJvTcObfqwcjMbOV9XLqdoNqy05rvk7Sc4GXD4P83j5Dl1HR9DCW5nDI5Sir7PRsXQELWkRvL7tyv9//xkgzvB0NWH4MHM9ltojhUHfQOSQjYRHjvSvimqlPg5e3O5pZEPmVeI4mQWCwvuv/w+oYaFaedVtNq/spCQMbtl7S8Wer6pfTOXrH//os8jJtmzcVlF0GPgHDa6/g5F7Pwd9qF8yUo2vrGw5Ox6NmL4L0/v2sRGaIhKyWQewfGjw4vVCB6eVNZbik4T3Lad1v9BcJyisdZpH/H7MJb/ohOviT8mG4721OCA9yXZbRmJsz6NCUGhkzgIv3Ru/MpkFtbriC5dzGbBVel29pxSFm66H5hf0sqCisvP3xq/WTiEmNi/HSxs1rMZnkH8PG7t4b7nNdl4+/TGAJEVG9Wu743ngo2h3zQPDlzGhnPqfVlCKBsr8lx/5keTefjkzPxO4m724hnny3PYsOs9dVlDJVmXVTbl/RvYuB45TdrxlQ3HT3/fcjUJDrbrXV5jQnhY8TdfFgt1/H1XU+JYCC0tsPDfx4Jz7qo87f0snA5MU95/goW5aUtqnR6zsHxTX/Hdpyx0/T3mJwvH46V33/cmdgnnWUcMY2PMS98ov0lsBKzRLVL2ZmOX1otjuzewcVt9m/GCWDY+eYSnr93Dxp1vT2rTUtlgrUtxHkTsHROab9J5iY22wPwJygQP4i2065KnhH+rOJbJ01jwukD57F/Owrwpb359CWHBOtTNYfQ2Fkoup7pyd7PQJWMmslA7U3ECiwU32wUkNbCg6TjrwmJidyJZjQHvWPDJ+QAz4vd+hotbZ9azkCLvWNXzEws3NCJ/GfRkY2MGr+jPADa+DmJV69sS/2tnPXo+g41ZHVa7nixmIzrh8T5eIPGv9XCLthiy/qp0huftWMzNp919G2Jx5nDvN75fY6F+xzZ6mC7r//4nzcL5Ii9e+0QWND6HK1+fy8LSpoJyZzIuOi1el+DHwptU22ZPMq9VrLSLMVEsTN/fy/yEmIX+uft3ZJ5modA7y2RPIQu5kV+knUUsVJ/eG1lA5jlS502oaTkLMRMVJ3NYMIpYYzOxk4Xrd9tajUic+pUssfYdFIudq8p2s0xj8Twg7fDrSbFQ7K5FT4zFyoJ+yarzYtHa68rUwrWx2BDBOTOJE4s7zYo/GseiyqBBlzoZi3ody/q+F8m83g+caXMj9v/+RxsLd3U1q6D/yPX3t5kL22KxSNxmf0iHhYtt0fUHhrJwdLTRkwBbFp7Rbm39prMgLqFc5B4svF292PGPNwv/A2PQKP4=AQAAAACAAACAPgAAeCkAAA==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AQAAAACAAABsYwAAmxEAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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AQAAAACAAADQBwAAFwAAAA==eJzj5BwFo2AUjIJRMApGwVAHAOOGRlE=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/grid/Grid_4_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/grid/Grid_5_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/output/surf.300000.dat ADDED Viewed

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

+ITEM: TIMESTEP
+300000
+ITEM: NUMBER OF SURFS
+200
+ITEM: BOX BOUNDS oo oo pp
+-5 6
+-5 5
+-0.5 0.5
+ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
+1          0.5            0      0.49975    -0.015705      0.01041      0.17663     -0.17661    0.0027744   -3.605e-05   -0.0022948   -0.0027746   7.5326e-06       7.5477            0            0
+129     -0.31871      0.38526     -0.30645      0.39508      0.13703       2.3523       1.4707      -1.8358      0.25088      0.20099     0.027042    -0.025678       136.47            0            0
+2      0.49975    -0.015705      0.49901    -0.031395       0.0106      0.17953     -0.17933    0.0084569  -0.00017054   -0.0036164   -0.0028194   7.6031e-05       7.8204            0            0
+130     -0.30645      0.39508     -0.29389      0.40451      0.13177       2.2623       1.3583      -1.8091      0.26116      0.19608     0.025438    -0.025336       134.89            0            0
+3      0.49901    -0.031395      0.49778    -0.047054       0.0109      0.18871     -0.18813     0.014806  -0.00050075   -0.0063626   -0.0029629   0.00013263       7.0145            0            0
+131     -0.29389      0.40451     -0.28104      0.41354      0.12591       2.1704        1.248      -1.7757      0.27124      0.19063     0.023863    -0.024897       140.83            0            0
+4      0.49778    -0.047054      0.49606    -0.062667      0.01065      0.18261     -0.18151     0.020038  -4.5415e-05  -0.00041137   -0.0028517   0.00030829       8.0241            0            0
+132     -0.28104      0.41354     -0.26791      0.42216      0.11863       2.0325       1.1159      -1.6987      0.26485      0.17398     0.021687     -0.02395       123.54            0            0
+5      0.49606    -0.062667      0.49384    -0.078217      0.01059      0.18134     -0.17953     0.025551  -0.00061349   -0.0043106   -0.0028296   0.00033363       9.0037            0            0
+133     -0.26791      0.42216     -0.25452      0.43037      0.11519       1.9751        1.032       -1.684      0.27061      0.16583      0.02046    -0.023847       125.33            0            0
+6      0.49384    -0.078217      0.49114    -0.093691       0.0107       0.1773     -0.17466     0.030483  -0.00061913   -0.0035475   -0.0027532   0.00042309       7.8339            0            0
+134     -0.25452      0.43037     -0.24088      0.43815       0.1095       1.8876      0.93521      -1.6396      0.28523      0.16269      0.01917    -0.023198       117.67            0            0
+7      0.49114    -0.093691      0.48796     -0.10907      0.01004      0.16651     -0.16305     0.033766   -0.0015722   -0.0075917   -0.0025858   0.00041113       5.2267            0            0
+135     -0.24088      0.43815       -0.227       0.4455       0.1034       1.7763      0.83117      -1.5698      0.27017      0.14305     0.017299    -0.022411       105.55            0            0
+8      0.48796     -0.10907      0.48429     -0.12434      0.01046      0.17606     -0.17119       0.0411    -0.001694   -0.0070559   -0.0027156   0.00053474       7.7283            0            0
+136       -0.227       0.4455     -0.21289      0.45241      0.09936       1.7011      0.74839      -1.5276      0.28352       0.1389     0.016208    -0.021814       107.22            0            0
+9      0.48429     -0.12434      0.48015      -0.1395      0.00971      0.16384     -0.15803     0.043233   -0.0014254   -0.0052102   -0.0025046   0.00059723       7.2755            0            0
+137     -0.21289      0.45241     -0.19857      0.45888       0.0945       1.6159      0.66497      -1.4727      0.27705      0.12509     0.014797    -0.021168       98.382            0            0
+10      0.48015      -0.1395      0.47553     -0.15451      0.00919      0.14834     -0.14179     0.043619   -0.0012398   -0.0040302   -0.0022465   0.00062183       4.6452            0            0
+138     -0.19857      0.45888     -0.18406      0.46489       0.0895       1.5214      0.58221      -1.4056      0.28097      0.11638     0.013558     -0.02025       94.251            0            0
+11      0.47553     -0.15451      0.47044     -0.16937      0.00895      0.14846     -0.14045     0.048088  -0.00072493   -0.0021174   -0.0022175   0.00072208         5.43            0            0
+139     -0.18406      0.46489     -0.16937      0.47044      0.08427       1.4448      0.51072      -1.3516      0.28576      0.10798     0.012511    -0.019534       87.573            0            0
+12      0.47044     -0.16937      0.46489     -0.18406      0.00857      0.13913     -0.13015     0.049178  -2.6725e-06  -7.0727e-06   -0.0020443   0.00077234       5.5939            0            0
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CylinderKnMa/Kn0p20/simulation0355_Kn0p20Ma2p4/surf/Surf_300000.vtu ADDED Viewed

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

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AQAAAACAAABABgAA4wUAAA==eJwtVHk81FsclX2ajPmVTyXSCwnRIuIxObcUxYvwiqR8UqH3SkWi5VVUSqWFJMRTSJSlMvYmY5dsNTyULQpRNIVseTNT96+7nHu/53y/535v0Z7zaqJKQdtsX9kwVgp+1SrD+4vL4TV7OKPIpQxLvXN1NFaV4YHDC73ix6VI/sdYZeXmEsxYQNmrBpXii0fnRfb3Ymxf5KhcPVGIqZpdnHyxIlSw+DISNVycjPrRb3GpABVHOf/OW8aFUqM2990hDsTmf6ikpz+HtoNf+OXvHLDiUixVx7MRa9O18ZVBHuo1rD/7aubiTHTUqk79bNDm7mhVTmWjqyH+zcycDHitkG44PJGBT/wU+b7gTNj4lFcdksgEH6N5vrxsKE6Zdhb6Z6M6ITu5Py8X6woW/pnUlIfWBQNblszi4Pgh3wbPvAJYDii5nHDj4op7bS24JUg28wxUGixBakxoqyGnFGbe0eZO2pV44mFsoqhchZubcgrznGsRajxt0zm5OliuyQrXN3+NAaP1Fl6jr7EhMfXkre56WNfdcP5h1oik5ZnMrthmqDHT+ub0v4VXB9kwe3k7XNh6HeFj7UjR15Jq2fkOUR/mJ/Zs6MJYrdSQrvd79PLCavisbow4Cnd60Wzkqmsq1Qc6+/6xMq1PGHfYGnkzYABXcv6mjcYOYubZghd31/PBEgXm46OkPrWK9Q2JArRxyBC4v6tZnjg7DDhsf/y8fwRWIsAo/MPMLu/vHkNsUHpHb9gE/rg/3XyRzyRqRuw7E6KmcM3+iHr4aTFiIBI4jUTKKsXs1BInt1tCL5xvFicrZB8pO3VJkLka9lJxIZJERCNTiqRadBxXWCpNLCT86OqaMuTy5N6Rrg4Zsk4QbTxJlqzbd3DwfAWNJAfYbowWm05EtFTohL+mxq2+m06iqYRn3PAZZFmLurR/mBzRfRI9kGjOINcKhzSdrzGIlrNwJv/rPpPItetejzViknq/Xo0VF5mEJqRZySSj8r1ZaRIU+cETHHxhkksLdn92WksRxwcGVSZXKZITLD04ewNFXO826A/4UaTMyjBoTSxFgjU/yXHSKVLQH8PS4VFES7BcHkER1as+h5WCKTL05j9/70CKjBsfqr4YQpFqRdtmJRZFjifomCkvocirgy4y1U1MMixgW8hmElFaA5hEUXIrQ1ePSYRuke+VJ6qTwz7td+RJGI/modrPIHQBTHweg4TOFQBT5IiYcJyZQRac77PNVplBAo0aSg7o00lqpuvpptXTyX5B9d2f0ogCSt+yJWnkpz9kieYpgTOCZIjiO8c5WbbSRCDatGebFLEql1kdVS/5k1+EBOmghyYF1In/1KcoTkx7mh6NOU8jRcI0rxX7ySdyCvFtHMadlT+gLnp4AvJ3Vt7LMBxH7dNtQznNAh9pFAYmOnzHah1e5If5I9DZK4w8BLvFQmd9hYrA3Uun+Jhv5C4oPR9W24RKBvFUxsl/4cPPiFPLmbjwrR8xH69HdUj3oTjCpWpaQC9OuG08E+nUjS3jR1huse/hIRX4yHOoEwtZwh/xDpHV1tIWFe3gejZmaj5twSft+In45haI8i3ejFNHPr5wP9aINkPO8MuQBtjjoLbdLh5UOjLa17u8hnnm10meX90vXrWQFX3wl/hN2CZOVeDz42936R/LkNroctRGpRTanW3uzkbF2GPSZhMcXogdxb6uDZe5UEyJS6bd42DHW3OB4/NBxm+o6j3KRU/8SHDa6iwYRDpf8ffJxoW4h0d8o9lINL2e762ZhdjWK5FpIVnY3stucgxiw8Q41fxoAhthuXuU1Zqy4JGe9PXB9yzQs7tHX5vnYOWBqReWobkQtU3rfKQ5RQxaTeYjpGevQqXuMxge9npuZlvwKz+FsFsXuCX/Bhd28nU9DNcipF+z3jGqUwS5h35qX8uLcNz+xvTd9BK82byiuu1cKcT32qcOLi3DbvoahuVtQT9k5Ch6FpThnH93a9GiMvw1a/GIiUIFlsU5eu4zKMf/wXnvGA==AQAAAACAAABABgAAEQYAAA==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AQAAAACAAABABgAA8wUAAA==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AQAAAACAAABABgAAHAYAAA==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AQAAAACAAABABgAAJAYAAA==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AQAAAACAAABABgAALgYAAA==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AQAAAACAAABABgAAugQAAA==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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/Kn0p20/simulation0355_Kn0p20Ma2p4/surf/geom.surf ADDED Viewed

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

+# Surface element file written by SPARTA
+400 points
+200 lines
+Points
+1                  0.5                    0
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AQAAAACAAABsYwAAohEAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_300000.pvtu ADDED Viewed

	@@ -0,0 +1,23 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+<Piece Source="Lambda_2_300000.vtu"/>
+<Piece Source="Lambda_3_300000.vtu"/>
+<Piece Source="Lambda_4_300000.vtu"/>
+<Piece Source="Lambda_5_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_3_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_4_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Lambda/Lambda_5_300000.vtu ADDED Viewed

	@@ -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="2121"                 NumberOfCells="2000"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="22201"                RangeMax="44000"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.025"                RangeMax="5.975"                offset="3352"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="0.025"                RangeMax="4.975"                offset="3584"                />
+        <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0076818"            RangeMax="0.017865"             offset="4128"                />
+        <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.15364"              RangeMax="0.35731"              offset="21772"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5"                    RangeMax="7.8102496759"         offset="36044"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="42080"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="55136"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="58724"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAACAPgAAvCkAAA==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AQAAAACAAABsYwAAmxEAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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AQAAAACAAADQBwAAFwAAAA==eJzj5BwFo2AUjIJRMApGwVAHAOOGRlE=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/Surf.pvd ADDED Viewed

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

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/config.txt ADDED Viewed

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

+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.2
+variable   Ma equal 2.5
+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/Kn0p20/simulation0356_Kn0p20Ma2p5/cylinder.surf ADDED Viewed

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

+ surf file from Pointwise
+         200 points
+         200 lines
+ Points
+       1  0.5  0.0
+       2  0.499753280182866E+000 -0.157053795390643E-001
+       3  0.499013364214136E+000 -0.313952597646568E-001
+       4  0.497780982301540E+000 -0.470541566592573E-001
+       5  0.496057350657239E+000 -0.626666167821523E-001
+       6  0.493844170297569E+000 -0.782172325201156E-001
+       7  0.491143625364344E+000 -0.936906572928624E-001
+       8  0.487958380969374E+000 -0.109071620698271E+000
+       9  0.484291580564315E+000 -0.124344943582427E+000
+      10  0.480146842838471E+000 -0.139495553019615E+000
+      11  0.475528258147577E+000 -0.154508497187474E+000
+      12  0.470440384477113E+000 -0.169368960122646E+000
+      13  0.464888242944126E+000 -0.184062276342339E+000
+      14  0.458877312841991E+000 -0.198573945317390E+000
+      15  0.452413526233010E+000 -0.212889645782536E+000
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CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/gas.species ADDED Viewed

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

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/gas.vhs ADDED Viewed

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

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_0_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_1_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_2_300000.vtu ADDED Viewed

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_300000.pvtu ADDED Viewed

	@@ -0,0 +1,31 @@

+<?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"/>
+<Piece Source="Grid_2_300000.vtu"/>
+<Piece Source="Grid_3_300000.vtu"/>
+<Piece Source="Grid_4_300000.vtu"/>
+<Piece Source="Grid_5_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_3_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_4_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/Grid_5_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/grid/final-grid.dat ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/log.sparta ADDED Viewed

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

+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    R equal 1.380649e-23/${molecular_mass}
+variable    R equal 1.380649e-23/6.63e-26
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.2
+variable   Ma equal 2.5
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    mfp equal 0.2*${L}
+variable    mfp equal 0.2*1
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${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}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.2/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.2/4*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.2/4*0.2)
+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 2.5*${sos}
+variable    vo equal 2.5*307.815564238681
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vx equal 769.538910596703*cos(${theta}*2*PI/360)
+variable    vx equal 769.538910596703*cos(0*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    vy equal 769.538910596703*sin(${theta}*2*PI/360)
+variable    vy equal 769.538910596703*sin(0*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/0.2*${cpmfp}
+variable    xncells equal (6--5)/0.2*4
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/0.2*${cpmfp}
+variable    yncells equal (5--5)/0.2*4
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5--5)/30/220/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5--5)/30/220/200
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/769.538910596703/${xncells}/10/4
+variable    tstep equal (--5+6)/769.538910596703/220/10/4
+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 1.29438365301166e+20
+global    fnum ${Fnum}
+global    fnum 1.07865304417638e+16
+timestep    ${tstep}
+timestep    1.62434931201951e-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    220 ${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    220 200 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+Created 191516 child grid cells
+  CPU time = 0.188011 secs
+  create/ghost percent = 0.807462 99.1925
+balance_grid  rcb cell
+Balance grid migrated 191124 cells
+  CPU time = 0.182026 secs
+  reassign/sort/migrate/ghost percent = 30.4044 0.0267819 5.74782 63.821
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 769.538910596703 ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 769.538910596703 0 0.0 temp ${To}
+mixture   air Ar vstream 769.538910596703 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
+  644 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  171120 19752 644 = cells outside/inside/overlapping surfs
+  644 = surf cells with 1,2,etc splits
+  109.215 109.215 = cell-wise and global flow volume
+  CPU time = 0.166545 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 13.6973 14.8631 1.61977 16.2113 53.6086 4.67932 0.0825961
+  surf2grid time = 0.0269991 secs
+  map/comm1/comm2/comm3/comm4/split percent = 20.1038 21.918 8.28953 1.67476 9.9497 5.53063
+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 2352 cells
+  CPU time = 0.0985111 secs
+  reassign/sort/migrate/ghost percent = 3.49665 0.0256519 8.16971 88.308
+create_particles air n 0
+Created 1310576 particles
+  CPU time = 0.0250516 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) = 2.16211 0 5.0625
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 9.48996 4.15939 16.1594
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0  1310576        0        0        0            0            0
+   10000    43.905361  1375769    63516    52597       24    1330890.4      17.1371
+   20000    106.72537  1416329    66664    55681       19    1366654.8     17.12215
+   30000    171.46281  1423525    67431    56264       24    1384711.1    17.178067
+   40000    236.81047  1424863    67543    56199       20      1394652    17.208175
+   50000    301.46654  1425185    67596    56295       16    1400759.5     17.21766
+   60000    365.98367  1425763    67696    56355       13    1405035.6    17.238333
+   70000    434.01808  1426408    67678    56404       18    1407986.3    17.241929
+   80000    502.94123  1424453    67422    56187       14      1410072    17.243913
+   90000    567.66901  1425299    67547    56245       16    1411725.4    17.250822
+  100000    632.66201  1425850    67566    56203       16    1413205.9     17.25064
+  110000    697.39005  1425586    67351    56215       17    1414317.5    17.249291
+  120000    762.76632  1425558    67476    56256       17    1415236.1    17.249075
+  130000    827.32502  1425342    67588    56392       18    1416025.6    17.251115
+  140000    892.18439  1425107    67564    56171       12    1416678.7    17.254229
+  150000    956.37014  1426773    67716    56503       24    1417337.1     17.25756
+  160000    1021.1466  1425428    67445    56271       17    1417883.3    17.256894
+  170000    1085.5512  1425775    67770    56633       11    1418337.7    17.259894
+  180000    1150.4913  1426209    67327    56132       14    1418780.3    17.258139
+  190000    1215.8203  1425624    67547    56290       21    1419151.2    17.258795
+  200000    1280.7755  1423947    67438    56240       14    1419459.7    17.257385
+Loop time of 1280.78 on 128 procs for 200000 steps with 1423947 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.025003   | 38.385     | 227.39     | 784.6 |  3.00
+Coll    | 0.94085    | 74.37      | 727.56     |1341.2 |  5.81
+Sort    | 0.33077    | 14.748     | 141.09     | 696.7 |  1.15
+Comm    | 108.39     | 143.32     | 157.56     |  81.6 | 11.19
+Modify  | 0.022301   | 0.36421    | 6.385      | 162.1 |  0.03
+Output  | 0.0056587  | 0.075022   | 0.082911   |   4.6 |  0.01
+Other   |            | 1010       |            |       | 78.82
+Particle moves    = 283891947654 (284B)
+Cells touched     = 297898073305 (298B)
+Particle comms    = 366430702 (366M)
+Boundary collides = 0 (0K)
+Boundary exits    = 38045679 (38M)
+SurfColl checks   = 116425765 (116M)
+SurfColl occurs   = 3451477 (3.45M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 14958831244 (15B)
+Collide occurs    = 11334679343 (11.3B)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.73169e+06
+Particle-moves/step: 1.41946e+06
+Cell-touches/particle/step: 1.04934
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00129074
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000134015
+Surface-checks/particle/step: 0.000410106
+Surface-collisions/particle/step: 1.21577e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.052692
+Collisions/particle/step: 0.039926
+Reactions/particle/step: 0
+Particles: 11124.6 ave 67041 max 0 min
+Histogram: 82 14 6 4 6 7 5 0 2 2
+Cells:      1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+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) = 2.32031 0 8.4375
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 10.1507 4.66193 17.5994
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0  1423947    67438    56240        0            0            0
+  210000    97.913101  1424529    67587    56517       13    1424790.3      17.2705
+  220000    194.18411  1424648    67677    56556       11      1424530     17.28325
+  230000    290.66179  1426805    67923    56725       14    1424773.6    17.271133
+  240000    387.30386  1424704    67512    56244       16    1425192.6     17.28125
+  250000    483.27788  1425679    67733    56416       21    1425151.9     17.28408
+  260000     580.2157  1425141    67458    56176       22    1425306.1    17.286833
+  270000    676.87444  1425271    67468    56355       15    1425290.3    17.277857
+  280000    773.64978  1425237    67429    56284       18    1425253.7    17.278737
+  290000    870.82942  1425219    67578    56469       15    1425266.6    17.278511
+  300000    968.07825  1425489    67622    56454       21    1425256.2     17.27635
+Loop time of 968.079 on 128 procs for 100000 steps with 1425489 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.014033   | 19.473     | 108.72     | 538.1 |  2.01
+Coll    | 0.47175    | 39.438     | 380.91     | 983.1 |  4.07
+Sort    | 0.2102     | 7.9813     | 75.052     | 489.3 |  0.82
+Comm    | 58.853     | 76.659     | 84.347     |  59.4 |  7.92
+Modify  | 6.6844     | 52.685     | 297.48     | 856.4 |  5.44
+Output  | 0.07055    | 0.07221    | 0.076623   |   0.5 |  0.01
+Other   |            | 771.8      |            |       | 79.72
+Particle moves    = 142525616227 (143B)
+Cells touched     = 149547353040 (150B)
+Particle comms    = 183680635 (184M)
+Boundary collides = 0 (0K)
+Boundary exits    = 19078643 (19.1M)
+SurfColl checks   = 58344413 (58.3M)
+SurfColl occurs   = 1727635 (1.73M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 7556115130 (7.56B)
+Collide occurs    = 5724633421 (5.72B)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.1502e+06
+Particle-moves/step: 1.42526e+06
+Cell-touches/particle/step: 1.04927
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00128876
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000133861
+Surface-checks/particle/step: 0.000409361
+Surface-collisions/particle/step: 1.21216e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0530158
+Collisions/particle/step: 0.0401656
+Reactions/particle/step: 0
+Particles: 11136.6 ave 67449 max 0 min
+Histogram: 82 14 6 4 6 7 5 2 0 2
+Cells:      1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+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 = 191516
+  CPU time = 0.0299077 secs
+write_surf    surf/geom.surf
+  surf elements = 200
+  CPU time = 0.00373813 secs

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/mir.txt ADDED Viewed

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

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/output/surf.300000.dat ADDED Viewed

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

+ITEM: TIMESTEP
+300000
+ITEM: NUMBER OF SURFS
+200
+ITEM: BOX BOUNDS oo oo pp
+-5 6
+-5 5
+-0.5 0.5
+ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
+1          0.5            0      0.49975    -0.015705       0.0105      0.18811     -0.18808    0.0029547   3.8813e-05    0.0024707   -0.0029537   8.5219e-05       7.5599            0            0
+129     -0.31871      0.38526     -0.30645      0.39508      0.13973       2.5204       1.5758       -1.967      0.28284       0.2266     0.029195    -0.027337       160.44            0            0
+2      0.49975    -0.015705      0.49901    -0.031395      0.01089       0.1925     -0.19229    0.0090681  -6.1024e-05    -0.001294   -0.0030213   0.00012211       9.9261            0            0
+130     -0.30645      0.39508     -0.29389      0.40451      0.13498       2.4106       1.4474      -1.9278      0.28043      0.21055      0.02714    -0.026973       157.42            0            0
+3      0.49901    -0.031395      0.49778    -0.047054      0.01039      0.18828      -0.1877     0.014772  -0.00020419   -0.0025945   -0.0029514   0.00019128       7.9587            0            0
+131     -0.29389      0.40451     -0.28104      0.41354      0.13076       2.3315       1.3406      -1.9075      0.28261      0.19862     0.025497    -0.026842       147.97            0            0
+4      0.49778    -0.047054      0.49606    -0.062667      0.01023      0.17867     -0.17759     0.019606  -0.00072218   -0.0065414   -0.0028008   0.00020521       7.7571            0            0
+132     -0.28104      0.41354     -0.26791      0.42216      0.12345       2.2184       1.2179      -1.8541      0.28981      0.19037     0.023683    -0.026133       149.91            0            0
+5      0.49606    -0.062667      0.49384    -0.078217      0.01013      0.17946     -0.17767     0.025286  -0.00045863   -0.0032225   -0.0027979   0.00034656       9.0751            0            0
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+183      0.42216      0.26791      0.43037      0.25452      0.00607     0.098911    -0.084335    -0.051681    0.0057589   -0.0093976   -0.0012342  -0.00095938       4.6064            0            0
+56    -0.078217     -0.49384    -0.093691     -0.49114      0.05737       1.0181      0.17504       1.0029      0.27763    -0.048454    0.0071103     0.014992       76.534            0            0
+184      0.43037      0.25452      0.43815      0.24088      0.00674      0.11339    -0.098497    -0.056182     0.004656   -0.0081629    -0.001474   -0.0010107       4.8481            0            0
+57    -0.093691     -0.49114     -0.10907     -0.48796      0.06305       1.1067      0.22443       1.0837       0.2729    -0.056515    0.0078117     0.016135       68.494            0            0
+185      0.43815      0.24088       0.4455        0.227      0.00693        0.115     -0.10164    -0.053814    0.0056824    -0.010732   -0.0015072   -0.0010138       3.8449            0            0
+58     -0.10907     -0.48796     -0.12434     -0.48429      0.06623       1.1756      0.27444       1.1431      0.27664    -0.066415    0.0086559     0.016912       81.079            0            0
+186       0.4455        0.227      0.45241      0.21289      0.00698      0.11542     -0.10365    -0.050779    0.0014516   -0.0029632   -0.0016053  -0.00084414       3.5908            0            0
+59     -0.12434     -0.48429      -0.1395     -0.48015      0.06998       1.2432      0.32806       1.1992      0.27453    -0.075102    0.0094649     0.017656       83.225            0            0
+187      0.45241      0.21289      0.45888      0.19857      0.00786      0.13322     -0.12142    -0.054823   0.00045971   -0.0010181      -0.0019  -0.00087712         5.11            0            0
+60      -0.1395     -0.48015     -0.15451     -0.47553       0.0755       1.3355      0.39269       1.2765      0.28705    -0.088309     0.010677     0.018663       86.986            0            0
+188      0.45888      0.19857      0.46489      0.18406       0.0075      0.12754     -0.11783    -0.048807   0.00023216  -0.00056049   -0.0018472  -0.00077543       2.5043            0            0
+61     -0.15451     -0.47553     -0.16937     -0.47044      0.08014       1.4385      0.46595       1.3609      0.29526     -0.10109     0.011956     0.019789       100.31            0            0
+189      0.46489      0.18406      0.47044      0.16937      0.00754      0.12805     -0.11978    -0.045262      0.00136   -0.0035991   -0.0018601  -0.00076748       4.4043            0            0
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+190      0.47044      0.16937      0.47553      0.15451      0.00884      0.14996     -0.14187    -0.048574     0.001258   -0.0036744   -0.0022087  -0.00082068       7.0093            0            0
+63     -0.18406     -0.46489     -0.19857     -0.45888      0.09038       1.6155      0.61824       1.4926      0.29337     -0.12152     0.014319     0.021535       108.69            0            0
+191      0.47553      0.15451      0.48015       0.1395      0.00909      0.15812     -0.15113    -0.046495   0.00055484   -0.0018035   -0.0023652  -0.00075864       6.3519            0            0
+64     -0.19857     -0.45888     -0.21289     -0.45241      0.09501       1.6956      0.69776       1.5454      0.30038     -0.13563     0.015678     0.022143       108.54            0            0
+192      0.48015       0.1395      0.48429      0.12434      0.00977      0.16713     -0.16121    -0.044102  -0.00085526    0.0031263   -0.0025456  -0.00064362       7.1652            0            0
+65     -0.21289     -0.45241       -0.227      -0.4455      0.10025       1.8038      0.79355       1.6198      0.30252      -0.1482     0.017216     0.023115       117.87            0            0
+193      0.48429      0.12434      0.48796      0.10907       0.0095        0.168     -0.16336     -0.03922  -0.00027838    0.0011595   -0.0025703  -0.00059782       7.2422            0            0
+66       -0.227      -0.4455     -0.24088     -0.43815      0.10553       1.8808      0.88011       1.6622      0.29852     -0.15806     0.018513     0.023626       123.44            0            0
+194      0.48796      0.10907      0.49114     0.093691      0.00943      0.16558     -0.16214    -0.033578  -0.00052767     0.002548   -0.0025551   -0.0004874       7.5959            0            0
+67     -0.24088     -0.43815     -0.25452     -0.43037      0.11177       2.0103        0.996       1.7462      0.30162     -0.17204     0.020382     0.024725       130.45            0            0
+195      0.49114     0.093691      0.49384     0.078217      0.01022      0.18504     -0.18229    -0.031814  -0.00095296    0.0054602   -0.0028782  -0.00041395        8.907            0            0
+68     -0.25452     -0.43037     -0.26791     -0.42216      0.11679       2.0889       1.0914       1.7811      0.28713     -0.17595     0.021654     0.025212       131.33            0            0
+196      0.49384     0.078217      0.49606     0.062667      0.01069      0.19331     -0.19138    -0.027238  -0.00067735    0.0047593   -0.0030167  -0.00035308       7.2585            0            0
+69     -0.26791     -0.42216     -0.28104     -0.41354      0.12367       2.2242       1.2212        1.859      0.29259     -0.19219     0.023777     0.026182       145.64            0            0
+197      0.49606     0.062667      0.49778     0.047054      0.01113      0.19869     -0.19749    -0.021803  -0.00028347    0.0025676   -0.0031065  -0.00030213       8.9246            0            0
+70     -0.28104     -0.41354     -0.29389     -0.40451      0.12813       2.3145       1.3309       1.8936      0.27732     -0.19491      0.02526     0.026682        150.3            0            0
+198      0.49778     0.047054      0.49901     0.031395      0.01093      0.19611      -0.1955    -0.015387  -0.00050227    0.0063819   -0.0030787  -0.00014144       7.0767            0            0
+71     -0.29389     -0.40451     -0.30645     -0.39508      0.13416       2.4167        1.451       1.9326      0.27951     -0.20986     0.027182     0.027059       151.44            0            0
+199      0.49901     0.031395      0.49975     0.015705      0.01128      0.19668     -0.19646   -0.0092647  -0.00034764    0.0073716   -0.0030913  -2.9735e-05       7.5747            0            0
+72     -0.30645     -0.39508     -0.31871     -0.38526      0.14087       2.5339       1.5843       1.9775      0.28764     -0.23045     0.029403     0.027441       163.91            0            0
+200      0.49975     0.015705          0.5            0      0.01021      0.18365     -0.18363   -0.0028846  -1.2024e-06   7.6542e-05   -0.0028843  -4.4107e-05       7.7011            0            0
+73     -0.31871     -0.38526     -0.33066     -0.37506      0.14697       2.6503       1.7212       2.0153      0.26578       -0.227      0.03121     0.028089       167.88            0            0
+74     -0.33066     -0.37506     -0.34227     -0.36448      0.15303       2.7636         1.86       2.0441      0.26703     -0.24298     0.033409      0.02829       182.16            0            0
+75     -0.34227     -0.36448     -0.35355     -0.35355      0.15898       2.8836       2.0067       2.0708      0.26209     -0.25398     0.035637     0.028537       189.84            0            0
+76     -0.35355     -0.35355     -0.36448     -0.34227      0.16704       3.0005       2.1547       2.0881      0.23482     -0.24231     0.037534     0.028992       192.67            0            0
+77     -0.36448     -0.34227     -0.37506     -0.33066       0.1715        3.095       2.2892        2.083      0.22625     -0.24865     0.039511     0.028813       196.95            0            0
+78     -0.37506     -0.33066     -0.38526     -0.31871      0.17915       3.2218       2.4498       2.0924      0.21253     -0.24884     0.041819     0.028957       203.07            0            0
+79     -0.38526     -0.31871     -0.39508     -0.30645      0.18349       3.3242       2.5943       2.0784      0.21124     -0.26367     0.044068     0.028505       211.57            0            0
+80     -0.39508     -0.30645     -0.40451     -0.29389      0.19077         3.43       2.7429       2.0594      0.20234     -0.26949     0.046262     0.028115        216.8            0            0
+81     -0.40451     -0.29389     -0.41354     -0.28104      0.19706       3.5549       2.9085       2.0441      0.18355     -0.26117     0.048567     0.028005       222.69            0            0
+82     -0.41354     -0.28104     -0.42216     -0.26791      0.20113       3.6456        3.047       2.0015      0.16125     -0.24548     0.050394     0.027583       227.32            0            0
+83     -0.42216     -0.26791     -0.43037     -0.25452      0.20827       3.7795       3.2225       1.9748      0.15341     -0.25034     0.053027     0.027086       242.72            0            0
+84     -0.43037     -0.25452     -0.43815     -0.24088      0.21118       3.8228       3.3206        1.894       0.1375     -0.24107     0.054318     0.025964       236.32            0            0
+85     -0.43815     -0.24088      -0.4455       -0.227       0.2191       3.9643       3.5035        1.855      0.12716     -0.24016     0.057027     0.025365       240.69            0            0
+86      -0.4455       -0.227     -0.45241     -0.21289        0.223       4.0227       3.6125       1.7698      0.11395      -0.2326     0.058533     0.024145       253.64            0            0
+87     -0.45241     -0.21289     -0.45888     -0.19857      0.22902       4.1413       3.7744       1.7042      0.10056     -0.22272     0.060865      0.02327       258.69            0            0
+88     -0.45888     -0.19857     -0.46489     -0.18406      0.23211       4.1959       3.8765       1.6057     0.085611     -0.20668     0.062235     0.021975          264            0            0
+89     -0.46489     -0.18406     -0.47044     -0.16937      0.23509       4.2566       3.9819       1.5046     0.084652     -0.22402     0.063874     0.020115       273.58            0            0
+90     -0.47044     -0.16937     -0.47553     -0.15451      0.24425       4.4122       4.1743       1.4292     0.064027     -0.18701     0.066573     0.019511       272.81            0            0
+91     -0.47553     -0.15451     -0.48015      -0.1395      0.24692       4.4767       4.2788       1.3163     0.055655     -0.18091     0.068083     0.017835       282.58            0            0
+92     -0.48015      -0.1395     -0.48429     -0.12434       0.2494       4.5323       4.3717        1.196     0.043541     -0.15916     0.069351     0.016285       283.39            0            0
+93     -0.48429     -0.12434     -0.48796     -0.10907      0.25157       4.5476       4.4219       1.0616     0.041346     -0.17222     0.070106      0.01397       290.91            0            0
+94     -0.48796     -0.10907     -0.49114    -0.093691      0.25627       4.6361       4.5398      0.94014     0.025487     -0.12307     0.071708     0.012834       292.97            0            0
+95     -0.49114    -0.093691     -0.49384    -0.078217      0.25938       4.6729       4.6033       0.8034     0.019597     -0.11228     0.072613     0.010856       290.07            0            0
+96     -0.49384    -0.078217     -0.49606    -0.062667      0.25913       4.7039        4.657      0.66279     0.017724     -0.12454     0.073427    0.0084545       300.82            0            0
+97     -0.49606    -0.062667     -0.49778    -0.047054      0.26271       4.7573       4.7286      0.52204    0.0069164    -0.062648     0.074382    0.0072158       298.35            0            0
+98     -0.49778    -0.047054     -0.49901    -0.031395      0.26242       4.7645       4.7498      0.37382    0.0052093    -0.066191     0.074689     0.004832       308.27            0            0
+99     -0.49901    -0.031395     -0.49975    -0.015705       0.2632       4.7714       4.7661      0.22476   0.00084504    -0.017919     0.074876     0.003249       308.87            0            0
+100     -0.49975    -0.015705         -0.5            0      0.26399       4.7776        4.777     0.075043   0.00019149     -0.01219     0.075037   0.00098726       296.96            0            0
+101         -0.5            0     -0.49975     0.015705      0.26395        4.789       4.7884    -0.075222   0.00039493      0.02514     0.075219  -0.00078666       313.16            0            0
+102     -0.49975     0.015705     -0.49901     0.031395       0.2645       4.7914       4.7861     -0.22571    0.0014444     0.030629       0.0752   -0.0030642       302.56            0            0
+103     -0.49901     0.031395     -0.49778     0.047054      0.26097       4.7423       4.7277     -0.37208    0.0057482     0.073038      0.07435   -0.0046972          287            0            0
+104     -0.49778     0.047054     -0.49606     0.062667      0.26079        4.716       4.6875      -0.5175    0.0067324     0.060982     0.073734   -0.0071707       291.33            0            0
+105     -0.49606     0.062667     -0.49384     0.078217      0.26081       4.6972       4.6503     -0.66183     0.010977     0.077125     0.073216   -0.0091842       297.06            0            0
+106     -0.49384     0.078217     -0.49114     0.093691      0.25947       4.6885       4.6187     -0.80609     0.023563      0.13501     0.072918    -0.010541       290.59            0            0
+107     -0.49114     0.093691     -0.48796      0.10907      0.25583       4.6512       4.5545      -0.9432     0.021507      0.10385     0.071877    -0.013184       293.02            0            0
+108     -0.48796      0.10907     -0.48429      0.12434      0.25167         4.55       4.4243      -1.0622     0.037067      0.15439     0.070076    -0.014259       289.01            0            0
+109     -0.48429      0.12434     -0.48015       0.1395      0.24835       4.4877       4.3286      -1.1842     0.041807      0.15282     0.068648      -0.0162       289.48            0            0
+110     -0.48015       0.1395     -0.47553      0.15451      0.24567       4.4487       4.2521      -1.3081     0.053964      0.17541     0.067636    -0.017792       271.46            0            0
+111     -0.47553      0.15451     -0.47044      0.16937      0.24412       4.4152       4.1771      -1.4301     0.072814      0.21267     0.066755    -0.019123       278.16            0            0
+112     -0.47044      0.16937     -0.46489      0.18406      0.23876       4.3216       4.0426      -1.5276     0.085312      0.22577     0.064839    -0.020448       269.92            0            0
+113     -0.46489      0.18406     -0.45888      0.19857       0.2339       4.2273       3.9056      -1.6177     0.096145      0.23211     0.062856    -0.021764       269.64            0            0
+114     -0.45888      0.19857     -0.45241      0.21289      0.22954       4.1403       3.7735      -1.7038     0.099921       0.2213     0.060841    -0.023286       266.28            0            0
+115     -0.45241      0.21289      -0.4455        0.227      0.22176       4.0152       3.6057      -1.7664      0.12533      0.25582     0.058605    -0.023727       248.56            0            0
+116      -0.4455        0.227     -0.43815      0.24088      0.21685       3.9282       3.4716      -1.8381      0.12186      0.23016     0.056444    -0.025257       244.16            0            0
+117     -0.43815      0.24088     -0.43037      0.25452      0.21277       3.8479       3.3424      -1.9065      0.13781       0.2416     0.054665    -0.026151       244.08            0            0
+118     -0.43037      0.25452     -0.42216      0.26791      0.20868       3.7771       3.2205      -1.9735      0.16415      0.26787     0.053164    -0.026791       237.25            0            0
+119     -0.42216      0.26791     -0.41354      0.28104      0.20255       3.6452       3.0466      -2.0013      0.17273      0.26296     0.050568    -0.027304       233.55            0            0
+120     -0.41354      0.28104     -0.40451      0.29389      0.19691       3.5738       2.9239      -2.0549      0.18042      0.25672     0.048761    -0.028245        222.5            0            0
+121     -0.40451      0.29389     -0.39508      0.30645       0.1905        3.444       2.7541      -2.0679       0.1867      0.24867     0.046193    -0.028575       218.68            0            0
+122     -0.39508      0.30645     -0.38526      0.31871      0.18335       3.3107       2.5838        -2.07      0.20986      0.26195      0.04388    -0.028399       215.26            0            0
+123     -0.38526      0.31871     -0.37506      0.33066      0.17776       3.2349       2.4598      -2.1009      0.21496      0.25168     0.042014    -0.029046       209.89            0            0
+124     -0.37506      0.33066     -0.36448      0.34227      0.17234       3.1008       2.2934      -2.0869      0.23421      0.25739     0.039703    -0.028736       195.73            0            0
+125     -0.36448      0.34227     -0.35355      0.35355      0.16705       3.0157       2.1657      -2.0987      0.25377      0.26187     0.038003    -0.028852       190.29            0            0
+126     -0.35355      0.35355     -0.34227      0.36448      0.16024       2.9034       2.0205       -2.085      0.25818      0.25019     0.035792     -0.02882       192.08            0            0
+127     -0.34227      0.36448     -0.33066      0.37506      0.15158       2.7214       1.8315      -2.0128      0.25175      0.22907     0.032722    -0.028017       180.51            0            0
+128     -0.33066      0.37506     -0.31871      0.38526      0.14757       2.6571       1.7257      -2.0205      0.26344        0.225     0.031244    -0.028202       163.36            0            0

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/runmpirun128.sh ADDED Viewed

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

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/runmpirun64.sh ADDED Viewed

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

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

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/slurm-28428652.out ADDED Viewed

	@@ -0,0 +1,208 @@

+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 191516 child grid cells
+  CPU time = 0.188011 secs
+  create/ghost percent = 0.807462 99.1925
+Balance grid migrated 191124 cells
+  CPU time = 0.182026 secs
+  reassign/sort/migrate/ghost percent = 30.4044 0.0267819 5.74782 63.821
+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
+  644 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  171120 19752 644 = cells outside/inside/overlapping surfs
+  644 = surf cells with 1,2,etc splits
+  109.214731023046 109.214731023047 = cell-wise and global flow volume
+  CPU time = 0.166545 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 13.6973 14.8631 1.61977 16.2113 53.6086 4.67932 0.0825961
+  surf2grid time = 0.0269991 secs
+  map/comm1/comm2/comm3/comm4/split percent = 20.1038 21.918 8.28953 1.67476 9.9497 5.53063
+Balance grid migrated 2352 cells
+  CPU time = 0.0985111 secs
+  reassign/sort/migrate/ghost percent = 3.49665 0.0256519 8.16971 88.308
+Creating particles ...
+Created 1310576 particles
+  CPU time = 0.0250516 secs
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 2.16211 0 5.0625
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 9.48996 4.15939 16.1594
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0  1310576        0        0        0            0            0
+   10000    43.905361  1375769    63516    52597       24    1330890.4      17.1371
+   20000    106.72537  1416329    66664    55681       19    1366654.8     17.12215
+   30000    171.46281  1423525    67431    56264       24    1384711.1    17.178067
+   40000    236.81047  1424863    67543    56199       20      1394652    17.208175
+   50000    301.46654  1425185    67596    56295       16    1400759.5     17.21766
+   60000    365.98367  1425763    67696    56355       13    1405035.6    17.238333
+   70000    434.01808  1426408    67678    56404       18    1407986.3    17.241929
+   80000    502.94123  1424453    67422    56187       14      1410072    17.243913
+   90000    567.66901  1425299    67547    56245       16    1411725.4    17.250822
+  100000    632.66201  1425850    67566    56203       16    1413205.9     17.25064
+  110000    697.39005  1425586    67351    56215       17    1414317.5    17.249291
+  120000    762.76632  1425558    67476    56256       17    1415236.1    17.249075
+  130000    827.32502  1425342    67588    56392       18    1416025.6    17.251115
+  140000    892.18439  1425107    67564    56171       12    1416678.7    17.254229
+  150000    956.37014  1426773    67716    56503       24    1417337.1     17.25756
+  160000    1021.1466  1425428    67445    56271       17    1417883.3    17.256894
+  170000    1085.5512  1425775    67770    56633       11    1418337.7    17.259894
+  180000    1150.4913  1426209    67327    56132       14    1418780.3    17.258139
+  190000    1215.8203  1425624    67547    56290       21    1419151.2    17.258795
+  200000    1280.7755  1423947    67438    56240       14    1419459.7    17.257385
+Loop time of 1280.78 on 128 procs for 200000 steps with 1423947 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.025003   | 38.385     | 227.39     | 784.6 |  3.00
+Coll    | 0.94085    | 74.37      | 727.56     |1341.2 |  5.81
+Sort    | 0.33077    | 14.748     | 141.09     | 696.7 |  1.15
+Comm    | 108.39     | 143.32     | 157.56     |  81.6 | 11.19
+Modify  | 0.022301   | 0.36421    | 6.385      | 162.1 |  0.03
+Output  | 0.0056587  | 0.075022   | 0.082911   |   4.6 |  0.01
+Other   |            | 1010       |            |       | 78.82
+Particle moves    = 283891947654 (284B)
+Cells touched     = 297898073305 (298B)
+Particle comms    = 366430702 (366M)
+Boundary collides = 0 (0K)
+Boundary exits    = 38045679 (38M)
+SurfColl checks   = 116425765 (116M)
+SurfColl occurs   = 3451477 (3.45M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 14958831244 (15B)
+Collide occurs    = 11334679343 (11.3B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.73169e+06
+Particle-moves/step: 1.41946e+06
+Cell-touches/particle/step: 1.04934
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00129074
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000134015
+Surface-checks/particle/step: 0.000410106
+Surface-collisions/particle/step: 1.21577e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.052692
+Collisions/particle/step: 0.039926
+Gas-reactions/particle/step: 0
+Particles: 11124.6 ave 67041 max 0 min
+Histogram: 82 14 6 4 6 7 5 0 2 2
+Cells:     1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+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) = 2.32031 0 8.4375
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 10.1507 4.66193 17.5994
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0  1423947    67438    56240        0            0            0
+  210000    97.913101  1424529    67587    56517       13    1424790.3      17.2705
+  220000    194.18411  1424648    67677    56556       11      1424530     17.28325
+  230000    290.66179  1426805    67923    56725       14    1424773.6    17.271133
+  240000    387.30386  1424704    67512    56244       16    1425192.6     17.28125
+  250000    483.27788  1425679    67733    56416       21    1425151.9     17.28408
+  260000     580.2157  1425141    67458    56176       22    1425306.1    17.286833
+  270000    676.87444  1425271    67468    56355       15    1425290.3    17.277857
+  280000    773.64978  1425237    67429    56284       18    1425253.7    17.278737
+  290000    870.82942  1425219    67578    56469       15    1425266.6    17.278511
+  300000    968.07825  1425489    67622    56454       21    1425256.2     17.27635
+Loop time of 968.079 on 128 procs for 100000 steps with 1425489 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.014033   | 19.473     | 108.72     | 538.1 |  2.01
+Coll    | 0.47175    | 39.438     | 380.91     | 983.1 |  4.07
+Sort    | 0.2102     | 7.9813     | 75.052     | 489.3 |  0.82
+Comm    | 58.853     | 76.659     | 84.347     |  59.4 |  7.92
+Modify  | 6.6844     | 52.685     | 297.48     | 856.4 |  5.44
+Output  | 0.07055    | 0.07221    | 0.076623   |   0.5 |  0.01
+Other   |            | 771.8      |            |       | 79.72
+Particle moves    = 142525616227 (143B)
+Cells touched     = 149547353040 (150B)
+Particle comms    = 183680635 (184M)
+Boundary collides = 0 (0K)
+Boundary exits    = 19078643 (19.1M)
+SurfColl checks   = 58344413 (58.3M)
+SurfColl occurs   = 1727635 (1.73M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 7556115130 (7.56B)
+Collide occurs    = 5724633421 (5.72B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.1502e+06
+Particle-moves/step: 1.42526e+06
+Cell-touches/particle/step: 1.04927
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00128876
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000133861
+Surface-checks/particle/step: 0.000409361
+Surface-collisions/particle/step: 1.21216e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0530158
+Collisions/particle/step: 0.0401656
+Gas-reactions/particle/step: 0
+Particles: 11136.6 ave 67449 max 0 min
+Histogram: 82 14 6 4 6 7 5 2 0 2
+Cells:     1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+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 = 191516
+  CPU time = 0.0299077 secs
+Writing surface file ...
+  surf elements = 200
+  CPU time = 0.00373813 secs
+Processing  6  grid chunk(s).
+Completed grid chunk number:  2
+Completed grid chunk number:  5
+Completed grid chunk number:  4
+Completed grid chunk number:  0
+Completed grid chunk number:  3
+Completed grid chunk number:  1
+Done in 0:00:13 (wall clock time)
+Processing  6  grid chunk(s).
+Completed grid chunk number:  5
+Completed grid chunk number:  2
+Completed grid chunk number:  0
+Completed grid chunk number:  4
+Completed grid chunk number:  1
+Completed grid chunk number:  3
+Done in 0:00:12 (wall clock time)
+Processing SPARTA surface information.
+Processing dump result file:  ['./output/surf.300000.dat']

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/surf/Surf_300000.vtu ADDED Viewed

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

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="400"                  NumberOfCells="200"                 >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="1"                    RangeMax="200"                  offset="0"                   />
+        <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="432"                 />
+        <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="1468"                />
+        <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="2476"                />
+        <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="3508"                />
+        <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00528"              RangeMax="0.2645"               offset="4512"                />
+        <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.085547"             RangeMax="4.7914"               offset="6504"                />
+        <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.19749"             RangeMax="4.7884"               offset="8536"                />
+        <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-2.1009"              RangeMax="2.0924"               offset="10632"               />
+        <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.0019257"           RangeMax="0.30757"              offset="12708"               />
+        <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.26949"             RangeMax="0.26787"              offset="14824"               />
+        <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.0031065"           RangeMax="0.075219"             offset="16948"               />
+        <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.029046"            RangeMax="0.028992"             offset="19092"               />
+        <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="2.5043"               RangeMax="313.16"               offset="21232"               />
+        <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22840"               />
+        <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22892"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503"        RangeMax="0.50000001255"        offset="22944"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="24272"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="25176"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="25668"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
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AQAAAACAAABABgAA4gUAAA==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AQAAAACAAABABgAAAgYAAA==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AQAAAACAAABABgAAHwYAAA==eJwtlHk81AkAxSlUtkQlsZQuyxLbpFq28Ry7I0c1du207RbqI8lGU/SZPiFHUQ1tMpOYxI5zY2Qc46j4OWcGzZgjnbJZWY2sytUox9o++/5+f7zP533fE6WcTgzcpwUz3zRe7MxSYr7x5fozzV8SQeG8OsMid+Kl9PGTi3pOREGUp3DVuDeh/itp4vRaMuHmflBSPeZHhJvaWjbt+JmYfm3haq/lQgyUNZrNX+KCU/8EcdXJ/oT2WLueryMFjq4tXSYl24lp0qr1yxJoyFZtFJKmD+HO8PuuoJKTGCtmT+akM3Bpc/ahJFYcJp137L939DwGhwLp7HtM9Ayog08IU+CXwM72/chGQaDDonw7Nj7coF6MdUuHsDlSz8b9d1xpDpjRzciF18v4LeqP+XjWE+ah9zgfhfzvXb7rKsRKwornS72FYP6t0T/UpXhFLCg98JSPGMMXdyWfVyDGqCrI2k6A5dFO7Rc/q8Gvh5vsxkerMH7UcJqbUQ3u+YyqmMN1eFH7nt52gkArOc0pwqURlaxGn5HBBtTmd6XUiJrQV1T+hvmiGR45131sqlsgnQrR07/fChHF3O+RnRgcdnyY3VExAoq1kpozOrBC9u3jt2Pt6DO2H9tDl4D6Q8fDD+sk+GZq677c1VI82VhUrVMlxZrYBxa7hzvxrDs9i98iR5xW65XNDDnUU1+5nq6Uw5j2jvL3VTkiKOwJHX8FlnuMkZj9Cqxuka5wLFXC0+rVRKpQgaqHRotCHZQYLE9/HLVfCdchb+6oiRJa4WPqul1KFD0YiqMFzPnqdwZ31CogFnAPZRJyPB90UEX3yUHxd+GUBSvAZH00Y86TI8vFbVbLSI7x0YJ1hkIZ1tg6DLP1pJiw3H+lafw+um8KntnadyC6QnJZtagDBp+CtiFiw/XZlLMi5NHJuo9yW9DzG/3ntznN4GT8p0bEz5YEiigNcF5+sFlpXYerX3g88q6vxeSFTWTOoAARZ5l9DcUC2Nxc2rkskI81RLWq8ywP+6YNEjW9CnB1SV7SLut8jMe9vOlmzMGASVDwDgM2iqUhcWSLVHhn9E/5+UbBfJOV4ifaKVDb3rMFfC/k5duzaMZW6KVZHlf2OkC0vZ3vXLQXK8/Z8I8lMbA2dNPzMFYk1EJ9DdPIRDRsuGb1t3k6qFQmbVg7DcKkhLUnP+SgvTtq/Z0j+bh943s/a24xBL18+7e55YhSjj3RfCSAdiIvbDyzBqc07bYcY9fC9RqHLNNtAFPMZ24nEWgYuGDQlNsIo2q5Rs+8Vkj/PO+qZSqEO6+1UGOVCHV9K8za+kVYd8mPUtbdjj0HJm06z3XAX0Dqvf5Bgo5NJYktZBm8JKuDtRNlUFlsXsgzlUH6g9nJLd0yROnGvltsooDP7srilBE5sk/0Ou9cqYCUPt8JyQoUccwHnTSUcGv9Oma5rhL1E/dTNbYqwSdXbHCe48SM4bng9awCZI87QSOSOX+04+otVCWibswMuTMV8Lfq0BfdUcDmXWy51V4F4mkB4kGaHBVz64ixluNSpE30q3gZ9Az7pnZZyqBrQF/4Y4gMl89cpDD0OzGwKqWuZ1qCl+eyJEWdEii2so5X1c5x86Y3tW93G3JV/x2EGFEjfOqvHBFKjNwc5LeFmOHwfJbKWxBzIcc5W9yMxpSukixWE7Iil143ZTThixXrXugXNeDTzLh1GJY+DTXi3MVnGyzPJtfe/Z+bWmgfW7B+YlENpCb3StsTqkCzIiu9kstAL1/SHedYAu2jwhzVEA9Nkw/KPFW34OzzhF9Q/ge4I6X9117nQ1Gs6el2OQdZi39L3TvwO/6kqo+ZmWbi/b7DBZUzabAw6w/YppmGJbMqHd17LMT9whj1vZCM+do9bYWiRJD63ahbzyQgWbtTWpEbj1E71kheGgMLJbcjrZeF4/N2Tk4ohYHF3jXccPFePC08ElJo7oQKz3nbZ0NtEfupUBposW+2Hc/0hdpApPzR1hXmokPP6TrexMGqtzN0JxJRE0EtD/Gc+2+jI1rzHPcQTpGXFuuQKMRxa/ODD1kkYuE3eZk/nXImvitzDwsTbyMO2M+KvrWprP8XP9IfNw==AQAAAACAAABABgAAJgYAAA==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AQAAAACAAABABgAANgYAAA==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AQAAAACAAABABgAApAQAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==eJxt2D1IlmEUxvE3KNqKtiJosyWMtoLe5+jm0FJDSbg0Bg3h0odBSFtBVEsfUBC12GIRtPShLS0tQiEVJAoFQURUIhmWdg5enA7PPyH4gfL2vPdzznWf++50On0d/dybXbErY6NP2x4/u2IHrneetb19ZtneP+mH9y79saHBUbjn3W8b2nUb7j25ZB/mJuHx6V/2/cgsvGnhp10eW4anphfsy5sNE20Pn5q3kd3b4Msz32zj8V54et1XezXShRe/f7bFQ/vgyTufbGLlMLxmy0cbHj4K3zk4Z8fGTsDXDr+3C/vPwXM9b+3HjvPwxSev7eHHS/CzrVO2+fRV+MbASxv5dBMe6n9he3behQfWP7en++7BD249tjN2H55f+8j8H+y/N/872D/P/HNh///NnwP25zV/bti/n/n3hH09zNcF9vUzX0fY19t83WF/P+bvCfb3af5eYX//5nUAe72Y1w3s9WVeZ7DXo3ldwl6/5nUMe72b1z3s/dF4n8DeT433Fez913gfwt6vjfctPTjaeJ/DngeN5wLs+dF4jsCeN13PHVg/k21HPpW/T0c+lc9PRz6V50lHPpXn/2fPp/J905FPZX3SkU9lPdORT2X905FP5X2lI5/K+01HPpV6SEc+lfpJRz6VektHPpX6TEc+lXpORz6V+k9HPpV+SUc+lf5KRz6VfkxHPpX+TUc+lX5PRz6VfEhHPpU8SUc+lfxJRz6VvErH70u+pePzSh6m4/8v+ZmO5y15m47vV/I5HetR8jwd61fyPx3rXfaLdLyfsr+k432W/Sgd77/sX+mol7LfpaO+yv6Yjnos+2k66rfsv+mo97Jfp6M/yv6ejn4q80A6+q/MD+no1zJvpKO/y3ySjjwo80w68qPMP+nImzIvpTv/yaryN9229ZlN23oGWM8M6zvCWhNYawhrzWG9I2tb7xRWDcCqGVg1BqsmYdUwrJqH1SOwegpWD8LqWVg9DisTYGUIrMyBlVGwMg1WBsLKTFgZCyuTYWU4rMyHtUfA2lNg7UGw9ixYexysPRHWHgprz4W1R8Pa02HNALBmBlgzBr06k8CaYWDNPLBmJFg/fW1rBrO2NbPBmvFgzYT06gwJa+aENaPCmmlhzcCwZmZYMzasmRzWDA9r5od1RoB1poB1BoF1ZoF1xoF1JoJ1hoJ15oJ1RoN1poN1BoR1ZoR1xoR1JoV1hoV15oV1RoZ1poZ1Bod1Zod1xod1JwDrDgHWnQOsOwpYdxqw7kBg3Zk0beuOBdadDKw7HFh3PrDuiGDdKcG6g+q23SlZ9RcRPekTAQAAAACAAACADAAAkgIAAA==eJw11WODEAYAgOF8l23b7rJ1GdddtnHZtnHVvNpqy21hy7Ztt4Whtmz3oaf3y/MT3kiRPhWZURiV0RidMRjAQMZkLMZmHMZlPMZnAiZkIiZmEiZlMiZnCqZkKqZmGqZlOqZnBmZkJmZmFmZlNmZnDuZkLuZmHuZlPuZnARZkIRZmEQaxKIuxOEuwJEuxNMuwLMuxPCuwIiuxMquwKoNZjdVZgzVZi7VZh3VZj/UZwgYMZRgbshEbswmbshmbswVbshVbsw3bsh3bswM7shM7swu7shvD2Z092JO92Jt92Jf92J8DOJCDOJhDOJTDOJwjOJKjOJpjOJbjOJ4TOJGTOJlTOJXTOJ0zGMGZnMXZ/IJf8it+zW/4Lb/j95zDufyBP3Ie5/Mn/swFXMhFXMwlXMplXM5f+CtXcCVXcTV/4+9cw7Vcx/XcwI3cxM3cwq3cxu3cwZ3cxd3cw73cx/08wIM8xMM8wqM8xuM8wZM8xdM8w7M8x/O8wIu8xMu8wqu8xuv8g3/yBm/yFm/zL/7Nf/gv7/Au/+P/vMf7fMCHfMTHfMKnfMbnfMGXfMXXfMO3fMf3/MDP44/MKIzKaIzOGAxgIGMyFmMzDuMyHuMzARMyERMzCZMyGZMzBVMyFVMzDdMyHdMzAzMyEzMzC7MyG7MzB3MyF3MzD/MyH/OzAAuyEAuzCINYlMVYnCVYkqVYmmVYluVYnhVYkZVYmVVYlcGsxuqswZqsxdqsw7qsx/oMYQOGMowN2YiN2YRN2YzN2YIt2Yqt2YZt2Y7t2YEd2Ymd2YVd2Y3h7M4e7Mle7M0+7Mt+7M8BHMhBHMwhHMphHM4RHMlRHM0xHMtxHM8JnMhJnMwpnMppnM4ZjOBHXq+oSQ==AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0356_Kn0p20Ma2p5/surf/geom.surf ADDED Viewed

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

+# Surface element file written by SPARTA
+400 points
+200 lines
+Points
+1                  0.5                    0
+2    0.499753280182866  -0.0157053795390643
+3    0.499753280182866  -0.0157053795390643
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AQAAAACAAACAPgAA9SkAAA==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AQAAAACAAABsYwAAohEAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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AQAAAACAAADQBwAAFwAAAA==eJzj5BwFo2AUjIJRMApGwVAHAOOGRlE=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_300000.pvtu ADDED Viewed

	@@ -0,0 +1,23 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+<Piece Source="Lambda_2_300000.vtu"/>
+<Piece Source="Lambda_3_300000.vtu"/>
+<Piece Source="Lambda_4_300000.vtu"/>
+<Piece Source="Lambda_5_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_3_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0357_Kn0p20Ma2p6/Lambda/Lambda_4_300000.vtu ADDED Viewed

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