Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Lois_Smith_041115_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 18, 2013 |
Start Time | | 2013/04/18 00:00 |
End Time | | 2013/04/18 23:59 |
Key Words | | quiet, 4-18-2013, RCMon |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 8.91 |
Dipole Tilt, in Y-Z GSE plane, deg | | 30.33 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 106.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Lois_Smith_041115_1 |
Minimum Dst Value | | 8 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAwMToxOTowNCBFU1QgMjAxOfYopmIAAAGtdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiSml3b25fQ2hvaV8wNDA5MTVfMTogU1dNRiBwbG90IG9mIHJobyBhbG9uZyBDbHVzdGVyLTIgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMTAtMDQtMDlUMDA6MDA6MDAuMDAwWiIsICJtYXgiOiIyMDEwLTA0LTA5VDIzOjU5OjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6LTEuMjg4MzMyNTAwNSwgIm1heCI6MjkuMzk0NjgyNTAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfW0E1VsAAAAEZ0FNQQAAr8g3BYrpAAAf8ElEQVR4nO3df3AU9fnAcQwoIWi+FwiERBLAlFE7gJVWBho6QkywiFW0HRpBKA61tFhG2ikhGsDSVlpmBKVTCJTitNMKiJ0a+yN0HCt/2DploNE2NRhGhDRaIAFBgg2JIXyfyU5vrs/dbe4un8+xd/t+/cHs7e1+9nPPs9zz3OX2bsBlAAAAGDXgSk8AAAAg3dBgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGg4XUM2AA521KspG4119/ffz48X2ObOPQV+o85PwHUgL/UREfLzy5xzsHL8wZl+0kYvr06b/5zW+uyKFpsAxKywcFn+OcRkyuyNPf4cOH77///mHDhl1zzTWf+cxnXnjhBRuT6enpqaysDAQCOTk5VVVVcjP03ra2tsLCwtAjRtv+7NmzixYtktnm5uY+8cQToYMM+K+IK8Pviij2LcW5c+dkbuPHjx8yZIjM8957733llVdaW1tHjhx58eLF4GZz584NLnd0dIwYMUK2kUN88pOfDI2DLN98883BQ8c789CH0M8NwmVnZ4c+IoMjX5ExQ5k9/43Mdt++faWlpZmZmfn5+UuWLDl9+rSlA8WItgxextmJmCT/iezIkSN5eXlPPfVUc3OzVNC//vWvX/ziF21MZtu2bZMnT363lyzs2LEj9N5ly5atX78+9IjRtl+8eHFFRcXJXvPmzXv22WfVgcIbrARmG+Ned95558MPPywx7OzslJ7p+eefv/3222W9dFp79+51tjlz5kxGRoZ0kM7NXbt2yb3OIaSc//a3vw2O9uKLL8qa0AYrgZnHsmMCI8e4S8o1WMbPfyOzLS8vr6ura29vP3Xq1NKlS+fMmWPpQDGiwYKXcXYiJqq4FhcX//Of/3TW/PznP3cWZI2slwWpB48++mheL1kIvsEg+9bU1IwZM0ZeAU+dOrWhocHliPPnz//BD34QbTIRx3E5rsuBpk2bJjXDWZaFkpKS4F2NjY3yiDo6OkJHiLb98OHDpeo4y9JjTZ8+PXzaLjdjFL5XxHGGDBly7ty58PXSKt19993O8u9+9zvZ96WXXnJuzpo1S+51BpQmLDQOEuQXXngh9gZLNtiwYcPIkSOHDRv2yCOPSJOndoyYKfd3xeLdRdZs2rRp9OjRV1111eX4z5lQTU1N0tzIY8nOzr7vvvuCLan7w3E/6Ne//nUZULaXQEV8vO7nv1pQN1955ZVbb71VDiqHdl4AhAfq0qVL3//+98eOHZuTk/PQQw9duHAhYtxcnD9/fujQoeFzUwdSA/YZzGgT+/jjj9esWVNUVBQIBKTvjHgsl0QE5/C5z31u9+7dwQlL/5qfnx/xPwvQTzRYiIl6Tl+2bNnWrVtloaWl5brrrpOnWlnesmWLVFNZkOfBsrKyll4zZ85cu3ZtcN+5c+ceO3ZMnjTXrVsXWsLDyVPk0aNHo00m4jgux3U5kDzRB5/lW1tb5ek7eNddd9313HPPqRGibS8Nltx0lqXTCh0n4jTkZm5ublZW1oQJEzZv3tzd3e0yyWiDRHt0s2fPnjdv3p///Of//Oc/oeu7urqknDiNYFVVlTRVlZWVsvzee++NGjVK7nUGlCI3fvz4v/zlL3Jz//79sixr4mqwJBHv9ZKF7373u2rHBDIV7y6y/t57733//feDN+M6Z0JNmjTp1VdflUhKGf7mN7/51a9+NfaHE/Ggq1evlgS930tSEPEhuJ//ER978Kak+Ne//rW0F9I9LFmyJOLGGzduvOOOO959990PPvjgwQcf/Pa3vx0xbi5qa2tnzJjhMr2IA/YZzGgTk3ZTDvfOO+/I+hUrVkQ8lksignP44x//ePPNN8v57Nwl8fnRj37U54MFEkCDhZio5/SXXnrpy1/+sizIc9OIESOcV8lS0Z2/K91www1vvfWWs728anfe1nL2PXHihLP80UcfDRkyxOWIgwYN6ujoiDaZiOO4HNflQBkZGU5jcbm3/xg4cKCz/PLLL0+ZMsX5KFLoCNG2X7hw4YIFC071mj9/vsw/fNrhR5cqePDgQSm9wZrhLsb3vT788EMpNrfccktmZqaE5Tvf+U7wNbq8sn/66adlQV7Kv/76607VX79+vawPPcT27dvvueeey71/bfzpT396+X/PAfd3m2RlMBHB9zVDR0ggU/HuIuuPHz8eejOucyYaCezo0aNjfzjRDnr48GFnWXaM+BDcz3+1oG4WFhb++Mc//te//hXxXsdNN9309ttvO8snT54cM2ZMcLPQuEVTX18/bty4pqYml+n1OWDEYEab2Cc+8Ynw97zVsVwSETqH2267zXnhdOTIEZmApMb1sQIJosFCTNRzent7e1FRkSxMnDjx97///Wc/+1lZljXO+/lS1IO1QRbkphok4k0lllfw6maMx1WivSMlD+21114LHyHa9mfOnJG+KicnR2b+5JNPjho1yn3aoZqbm8Pf8YooxgYrSBpEaXG+8pWvBD8u88Ybb3zqU5/q7OycMGGC3JRX89Lk3XjjjbI+9BCyMj8/f9euXfJv8O9xMc5BNnBPRAKZincXWR/6Of14z5lQ0gGXlpZKZp2GMthSx/twQrcP/vVK/QE6qD/vYP3tb3+bO3fu8OHDx48fH/xzttpYur3QLlleNgQ3U3ELb6P3798v/9kPHDjgPr2IA/YZzGgTCw1ytGO5JCJ0DrW1tXLCd3d3P/DAA9KJRnwUQP/RYCEm4c/pM2bMeP7556dMmSLL8q88Z82cOdO5K8Y3G9zrtDQr69evd5+MupnYO1jRPlM1IIz79qG2bNki83efdqiWlhYpqC6TjGUQF2fPnr3uuuuCN6XB2r59u/PHo8WLFz/11FO33HJL+CF++MMfDho0KPgHlLgarGAiZCH2d7BcPveTwDtYsdyM5R0sWfmLX/xCGmgpyfJveBziPeFjeQcrlvNfGojguy8nTpxQ40hLIS9+go2+iq10GMeOHXMZPJo9e/YUFBQcOnQo2gbqQGrAPoMZbWLSLIa/g6WOFWMiJDLy8mnlypVjx44NfkAQMI4GCzEJfx6Uunv99dc7r/82b948evToDRs2OHdVV1cHPwkhr1ZXr16t9o14Uzly5IjUhk2bNskg8nJfXi5Hu4oqeDPG4yo1NTUuVxGGjxBt+wULFshxpZXZvXt3YWFh8M8c0R5vRUWF1AB5fm9sbJRpL1++3GWS0QaJ9uhuv/12aX9PnjzZ1dUl81y6dOns2bOD9z799NPDhw//5S9/ebn3GoVrr73W+aOhy4CX42ywZs2a5XwGSxbCPy8VLVMjRoyQaEQcM97kxthgRRs2lJyHL774opyER48elZMwPA7xnvCyffAzWHfeeWfEhxDL+S/N/bp16y5cuCApvueee4Lr5dSSPkNOLWmwpBlyVqrYPvPMMzJnWSOb/eMf/3D+4u8ST8fGjRuLioqC3WFE6kBqwD6DGW1iTz75pLyok71CP4OljhX7SSJtoqz82c9+FroysVcvQDScT4hJ+PPgG2+8MWjQIOdj3adOnZLlN99807mro6ND2gXnWh5ZCL5pH1eDdbn3Ir777rsvEAhcc801t912W7TvAQrejPG4irycldeygV6rVq1S34MVPkK07Xfu3CnFLCsrq7y8vL6+Xu0e/k7Y3r17J02aNHjwYHmdLYUh2gdu3AeJ9uj+9Kc/SehycnIyMzPHjRv3yCOPnDlzJnivZO3qq6+WIiTLx44dk+Xgx/OjDXg5zgbLuYpQJvCNb3wj/HLOaJmS+i1RjTh+vMmNscGKNmyoP/zhDzfeeKNESXoLeUURHod4T3jZ4Gtf+5oER0L0ve99T0aO+BD6PP+lQZ86dapzteDWrVuD66XFlwnL+ltvvfXVV191VqrYXrp0SR7LTTfdJGfgxIkTa2tr3eMZvFdpb29X26gDqQH7DGa0iclLhccff1xeyEncpO+MeKzYTxIJ5vjx4z/++GP16FweOxAvzif07ezZs8OGDbvSs0DKoFDF7u9//7t0wFd6FldYd3d3+EUhVn3hC1/YtWtXMo8IH+J5EH3o7OzcsGFDeXn5lZ4IUgYNVp9WrFhx4sSJ48eP33HHHd/61reu9HSusIMHDwavFrTt0qVL27dvnzhxYvCbGgBLeB5EH66++upPf/rT7l8K2h/hf3SwVJ6TdqD+SIlJ9ikV55xkzzzzzOjRo0eOHPnwww/zNQHXXnut8716SSAn59ixY6WlS87h4Gc8DwIAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgmF8arIhXvwMAAFOudKn3Fr+Eg8QDAGAPdVbxSzhIPAAA9lBnlXQOB29dAgCQHNRZxS/hIPEAANhDnVX8Eg4SDwCAPdRZxS/hIPEAANhDnVX8Eg4SDwCAPdRZxS/hIPEAANhDnVXSORxcRQgAQHJQZxW/hIPEAwBgD3VW8Us4SDwAAPZQZxW/hIPEAwBgD3VW8Us4SDwAAPZQZxW/hIPEAwBgD3VWSedwcBUhAADJQZ1V/BIOEg8AgD3UWcUv4SDxAADYQ51V/BIOEg8AgD3UWcUv4SDxAADYQ51V/BIOEg8AgD3UWSWdw8FVhAAAJAd1VvFLOEg8AAD2UGcVr4Rj3759paWlmZmZ+fn5S5YsOX36tLPe1LtQJB4AAHuos4pXwlFeXl5XV9fe3n7q1KmlS5fOmTPHWW8qYSQeAAB7qLOKF8Nx/vz5oUOHOss0WAAAeB91VvFiOGpra2fMmOEsS8Jyc3OzsrImTJiwefPm7u7uxMYk8QAA2EOdVTwXjvr6+nHjxjU1NYWuvHjx4sGDB0tKSlasWOGy7wBXlicOAIB/UWcVb4Vj//79RUVFBw4ciHhvc3NzIBBIbGQSDwCAPdRZxUPh2LNnT0FBwaFDh6Jt0NLSkpeXl9jgJB4AAHuos4pXwrFx48aioqLDhw+r9RUVFQ0NDZ2dnY2NjWVlZcuXLw/eFVcuSTwAAPZQZxWvhCP8I1Pt7e2yfu/evZMmTRo8eHBxcXF1dXVHR0foLnGNb37SAACgF3VW8Us4SDwAAPZQZ5V0DgdXEQIAkBzUWcUv4SDxAADYQ51V/BIOEg8AgD3UWcUv4SDxAADYQ51V/BIOEg8AgD3UWcUv4SDxAADYQ51V0jkcXEUIAEByUGcVv4SDxAMAYA91VvFLOEg8AAD2UGcVv4SDxAMAYA91VvFLOEg8AAD2UGcVv4SDxAMAYA91VknncHAVIQAAyUGdVfwSDhIPAIA91FnFL+Eg8QAA2EOdVfwSDhIPAIA91FnFL+Eg8QAA2EOdVfwSDhIPAIA91FklncPBVYQAACQHdVbxSzhIPAAA9lBnFa+EY9++faWlpZmZmfn5+UuWLDl9+rSzvqenp7KyMhAI5OTkVFVVyc3ExifxAADYQ51VvBKO8vLyurq69vb2U6dOLV26dM6cOc76bdu2TZ48+d1esrBjx47ExifxAADYQ51VvBiO8+fPDx061FmeNm2aNF7OsiyUlJQkNiaJBwDAHuqs4sVw1NbWzpgxw1nOzs5ua2tzlltbWwOBQGJjkngAAOyhziqeC0d9ff24ceOampqcmxkZGV1dXc6yLAwcONBl3wGurE8dAAC/os4q3grH/v37i4qKDhw4EFzDO1gAAHgfdVbxUDj27NlTUFBw6NCh0JV8BgsAAO+jzipeCcfGjRuLiooOHz6s1tfU1ES7ijCuXJJ4AADsoc4qXglH+Eem2tvbL/d+D9bKlSsDvVatWhX6PVg0WAAAeAR1VknncPAhdwAAkoM6q/glHCQeAAB7qLOKX8JB4gEAsIc6q/glHCQeAAB7qLOKX8JB4gEAsIc6q/glHCQeAAB7qLNKOoeDqwgBAEgO6qzil3CQeAAA7KHOKn4JB4kHAMAe6qzil3CQeAAA7KHOKn4JB4kHAMAe6qzil3CQeAAA7KHOKukcDq4iBAAgOaizil/CQeIBALCHOqv4JRwkHgAAe6izil/CQeIBALCHOqv4JRwkHgAAe6izil/CQeIBALCHOqukczi4ihAAgOSgzip+CQeJBwDAHuqs4qFwRHyrydS7UCQeAAB7qLOK+XB0dHSsXr26uLg4MzNT/l27du3FixfjmFBYg2VkViQeAAB7qLOK+XAsX768tLS0oaFBOi35d+bMmY8++mgcE6LBAgAg1VBnFfPhyMvLa2lpCd6UZVkTx4TCGqzc3NysrKwJEyZs3ry5u7s7sVmReAAA7KHOKl5vsBwXL148ePBgSUnJihUr3Pd1EfscAABAXKizipU/EZaVlb311lsdHR3yryz350+EoZqbmwOBQGKzIvEAANhDnVWsfMi9urr6hhtuyMzMlH/XrFnTnw+5h4r3zbAYhwUAAP1EnVU8Fw6VoYqKioaGhs7OzsbGxrKysuXLl0fbMq5hAQCAQdRZxUPhiPiRqb17906aNGnw4MHFxcXV1dUdHR2h28c1uOHpAgCA/6LOKubD0dDQUFJSMmTIEE99wNwLcwAAIF1RZxXz4Zg6deq6des++ugj4yPHi6sIAQBIDuqsYj4cmZmZFy5cMD5sP5F4AADsoc4q5sMxZsyYY8eOGR+2n0g8AAD2UGcV8+HYunXr3LlzT5w4YXzk/iDxAADYQ51VjP3Sn8e/Rd0LcwAAIF1RZxW/hIPEAwBgD3VWMR+Oq666yviYifHau2gAAKQr6qxiPhzXX3/9v//9b+PD9hOJBwDAHuqsYj4cmzZtuv/++48fP97T02N88ISReAAA7KHOKubDwYfcAQDwG+qs4pdwkHgAAOyhzip+CQeJBwDAHuqsks7h8NqfKQEASFfUWcUv4SDxAADYQ51V/BIOEg8AgD3UWcUv4SDxAADYQ51V/BIOEg8AgD3UWcUv4SDxAADYQ51V0jkcXEUIAEByUGcVv4SDxAMAYA91VvFQOCK+1dTT01NZWRkIBHJycqqqqhL+fUMSDwCAPdRZxXPhUBnatm3b5MmT3+0lCzt27DAyLAAAMIg6q3guHCpD06ZNq6urc5ZloaSkxMiwAADAIOqs4rlwqAxlZ2e3tbU5y62trYFAwMiwAADAIOqs4rlwqAxlZGR0dXU5y7IwcOBA931dWJw0AAD+Rp1VPBcO3sECACDlUGcVz4WDz2ABAJByqLOK58KhMlRTUxPtKsK4ckniAQCwhzqreCgcET8y1dPTs3LlykCvVatWhX4PFg0WAAAeQZ1V/BIOEg8AgD3UWSWdw8FVhAAAJAd1VvFLOEg8AAD2UGcVv4SDxAMAYA91VvFLOEg8AAD2UGcVv4SDxAMAYA91VvFLOEg8AAD2UGeVdA4HVxECAJAc1FnFL+Eg8QAA2EOdVfwSDhIPAIA91FnFL+Eg8QAA2EOdVfwSDhIPAIA91FnFL+Eg8QAA2EOdVdI5HFxFCABAclBnFb+Eg8QDAGAPdVbxSzhIPAAA9lBnFb+Eg8QDAGAPdVbxSzhIPAAA9lBnFb+Eg8QDAGAPdVZJ53BwFSEAAMlBnVX8Eg4SDwCAPdRZxevhMPUuFIkHAMAe6qzi9XCYShiJBwDAHuqs4vVw0GABAOB91FnF6+GQhOXm5mZlZU2YMGHz5s3d3d0Jj2N2YgAAIIg6q6RGOC5evHjw4MGSkpIVK1a4bDbAVdJmCwCA31BnlVQKR3NzcyAQSGxfEg8AgD3UWSWVwtHS0pKXl5fYviQeAAB7qLOK18NRUVHR0NDQ2dnZ2NhYVla2fPny4F1x5ZLEAwBgD3VW8Xo49u7dO2nSpMGDBxcXF1dXV3d0dATvosECAMAjqLOKX8JB4gEAsIc6q6RzOLiKEACA5KDOKn4JB4kHAMAe6qzil3CQeAAA7KHOKn4JB4kHAMAe6qzil3CQeAAA7KHOKn4JB4kHAMAe6qySzuHgKkIAAJKDOqv4JRwkHgAAe6izil/CQeIBALCHOqv4JRwkHgAAe6izil/CQeIBALCHOqv4JRwkHgAAe6izSjqHg6sIAQBIDuqs4pdwkHgAAOyhzip+CQeJBwDAHuqs4pdwkHgAAOyhzip+CQeJBwDAHuqs4pdwkHgAAOyhzirpHA6uIgQAIDmos4pfwkHiAQCwhzqreD0cPT09lZWVgUAgJyenqqpKbiY2DokHAMAe6qzi9XBs27Zt8uTJ7/aShR07diQ2DokHAMAe6qzi9XBMmzatrq7OWZaFkpKSxMYh8QAA2EOdVbwejuzs7La2Nme5tbU1EAgkNg6JBwDAHuqs4vVwZGRkdHV1OcuyMHDgQJeNB7hKynwBAPAj6qzi9XDwDhYAAN5HnVW8Hg4+gwUAgPdRZxWvh6OmpibaVYRx5ZLEAwBgD3VW8Xo4enp6Vq5cGei1atWq0O/BosECAMAjqLOKX8JB4gEAsIc6q6RzOLiKEACA5KDOKn4JB4kHAMAe6qzil3C4f0UWAADopytd6r3FR+Ewm3v/jGZ8QC+PZnxAL49mfEAvj2Z8QP+MZnxAL49mfEAvj2Z8QBosxUfh8PKZ5OXRjA/o5dGMD+jl0YwP6OXRjA/on9GMD+jl0YwP6OXRjA9Ig6X4KBxePpO8PJrxAb08mvEBvTya8QG9PJrxAf0zmvEBvTya8QG9PJrxAWmwFB+Fw8tnkpdHMz6gl0czPqCXRzM+oJdHMz6gf0YzPqCXRzM+oJdHMz4gDZbio3CQ+7REWtMVmU1XZDZdkVnFR+Eg92mJtKYrMpuuyGy6IrOKj8JB7tMSaU1XZDZdkdl0RWYVH4WD3Kcl0pquyGy6IrPpiswqPgoHuU9LpDVdkdl0RWbTFZlVCAcAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGJaqDVZPT09lZWUgEMjJyamqqpKb7utN7QurXFLw5ptvzpo1a+jQoQUFBTt37ox9X9LqEQP+K3Tlvn37SktLMzMz8/PzlyxZcvr06fAdyazHRczs0aNH77777kAvWZCb4TuSWS+jyPZfqjZY27Ztmzx58ru9ZGHHjh3u603tC6uipaCpqamwsPBXv/rVBx980Nzc/MADD8S+L2n1FFWGy8vL6+rq2tvbT506tXTp0jlz5oTvQmZTgsrstGnTqqurz/Z67LHH5Gb4LmTWyyiy/ZeqDZb8d5XnZWdZFkpKStzXXw75/5/AvkiOaCmQjuonP/lJxF1Ia2px+a7n8+fPDx06NHxLMpsSVGazsrIkoc7yhx9+KDfDtySzXkaR7b9UbbCys7Pb2tqc5dbW1kAg4L7+ckjuE9gXyREtBXl5eWvWrMnPzx82bNiiRYvkNXFwF9KaWlwarNra2hkzZoRvSWZTgsrsl770pbVr1547d07+t65evVpuhm9JZr2MItt/qdpgZWRkdHV1OcuyMHDgQPf1pvaFVdFSIAsPPvjgqV4VFRWLFy+OfV/S6inRGqz6+vpx48Y1NTWF30VmU4LK7HvvvTdmzBjns1my8P7774fvQma9jCLbf6naYPWnQaa59iyX1MhNZ1l6rNzc3Lj2Ja3eEbHB2r9/f1FR0YEDByLuQmZTgspsWVnZY489FvwMltwM34XMehlFtv9StcHqz594+fOwZ0VLwfTp06WvcpZPnjwZscEirSkhvMHas2dPQUHBoUOHou1CZlOCyuyQIUOifQYriMx6GUW2/1K1waqpqYl4MUK09ZdD/v8nsC+SI1oKdu7cuWDBguCfCB966KHgLqQ1tagyvHHjxqKiosOHD7tsSWZTQvhVhKtXr3bewXr88ccjfhSazHoZRbb/UrXB6unpWblypfMlK6tWrQr9mo2I6y+H5D6BfZEcLilYu3Ztbm5uTk7OwoULI37InbR63ID/FXGlaG9vD97lLJBZj4uY2SNHjnz+85//v16zZ89+5513Qrd3Fsisl1Fk+y9VGywAAADPosECAAAwjAYLAADAMBosAAAAw1K1wYr2G7EuvyUZ8RdJY/ztSffN2traCgsLXb6iOtruZ8+eXbRo0bBhw3Jzc5944omEIgEAADwnVRusaL8R2+dvSao2KMbfnnTfbNmyZevXr3dpsKLtvnjx4oqKipO95s2b9+yzz8YbBwAA4EGp2mCFCv2N2D6/xyz8y1pi+d4zl80aGxuLi4s7OjpcGqxouw8fPjz0+zOnT5/ex0MFAACpIB0arNDfiO3zm/hVGxTjN/e7bHbXXXc999xz4SPHsrs0WKG/AJP2vxsAAIBPpHyDpX4jts/fklRtUIy/PRlts5dffnnKlCnOZ6pcGqxouy9cuDD4BeXz588fNGhQTI8ZAAB4W2o3WOG/EWvqHSz1ifhom02cOPG1114LHznG3c+cOSN9VU5OTl5e3pNPPjlq1KiEwgAAALwlhRusiL8Rm+TPYIX/0Edcu4fasmWLNFtRHisAAEglqdpgRfuN2D5/S1L1QDH+9mQsm7n8iTDa7gsWLGhpaTl79uzu3bsLCwvffvvtPh84AADwvlRtsKL9Rqz771CGv9UU429PxrKZ+/dgRdx9586dBQUFWVlZ5eXl9fX1CUcDAAB4Sqo2WAAAAJ5FgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGDY/wNwp9LkogsRYAAAAABJRU5ErkJggg==)
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