Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Janelle_Holmes_010818_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | October 18, 2016 |
Start Time | | 2016/10/18 00:00 |
End Time | | 2016/10/25 00:00 |
Key Words | | general run |
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 | | -13.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.25 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 76.80000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Janelle_Holmes_010818_2 |
Minimum Dst Value | | -31 |
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 THEMIS-D for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEphbiAwNCAxMzowNjo1OCBFU1QgMjAxORyuGDoAAAGwdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiSmFuZWxsZV9Ib2xtZXNfMDEwODE4XzM6IFNXTUYgcGxvdCBvZiByaG8gYWxvbmcgVEhFTUlTLUQgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMTYtMTAtMjVUMDA6MDA6MDAuMDAwWiIsICJtYXgiOiIyMDE2LTExLTAxVDAwOjAwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzQ4LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6LTEuMDYwNzY2MDAwNSwgIm1heCI6MjkuMzgzODQ2MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjI2MSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfS3M3UEAAAAEZ0FNQQAAr8g3BYrpAAAgTElEQVR4nO3da3CU5f3/cQiHhKD5bSCCSSGCKa22GJC2M9KgQgxYB61YOza2IjjU0o6kpB1JYsOhtLXUGUFxWgKl9jBtAWMH0wOhD1p5UOsME5oeUoOgKAErEECEQHMwhP/1yz3/nf3t4d7NtRfJJ8v79cC5d7kPn72+V/Z77WazDrkEAAAAp4YMdAAAAIBUwwILAADAMRZYAAAAjrHAAgAAcIwFFgAAgGMssAAAABxjgQUAAOAYCywAAADHWGABAAA4xgILAADAMRZYAAAAjrHAAgAAcIwFFgAAgGMssAAAABxjgQUAAOAYCywAAADHWGABAAA4xgILAADAMRZYAAAAjrHAAgAAcIwFFgAAgGMssAAAABxjgQUAAOAYCywAAADHWGABAAA4xgILAADAMRZYAAAAjrHAAgAAcIwFFgAAgGMssAAAABxjgYUBM2TIkLCN/rwoUs/lKO6rr746ZcqUuGe+HJdmrgKDGj/AGDAssODW5SjurFmzdu7cOSCXZq5ePowt+gGTDIly/pSU5AIr6lED8k6Dv56enoqKikAgkJ2dXVVVZW6GhvEksv+hQ4fuvvvuQC+zYW76n8dn/0i7du267bbb0tPTc3NzFy1adPz4cf8H9f7775tsU6ZMGTVqlMl57733/ulPf2ptbR03blxHR0dwtwULFgS329vbr7nmGrOPyfmxj30sdBzM9o033hg6H0L5Jwl1OaqflZUV+ogcnnlAzhk8c6RYV4xVl9D74xbU24g6bXwSDh061Iz/9OnTKysrzcyJtafNEFhhWYY+YbogUSyw7GzevHnGjBlv9TIbW7du9Y8Ua/+ZM2dWV1ef6fXEE0+Ym/7nibt/qDlz5uzcudPsee7cubVr1xYXF/s/qDvvvPPRRx89ePBgZ2en6XwvvPDC7bffbu43LbO2ttbb5/Tp02lpaSdPnvRubtu2zfyrl/OTn/zk7373u+DZXnrpJXNP8u9oXo7qJ3jI4FpgxbpE3AVWrJMkWNBY08bnoufPn29sbPz617+el5f39ttvx30IlxULLPQJ0wWJCj65HDhw4P777x8zZox5cXnfffcFO6jZoaam5rrrrsvIyLjllluampq8+y9evPjd73530qRJ5jXrI488Yp4xw04Y3Ii1p3+eqHd2dHQsX758fC+zEXwTIvSimzZtmjx58siRIz/+8Y//5S9/+dnPfmZeW3vh9+/f7x/JvPK++eabzc7m8UaumUKZlU19fb23bTaKior8H0is/TMzM83qx9s+e/asuel/nrj7x9LW1ha6c9RxHjVq1Pvvvx95v+msd999t7f9+9//3hz729/+1rs5b94886/eCc0iLHQczIC/+OKLiS+wzA5PPfXUuHHjzCR87LHHTLcOOzBq9f3fFevrIeaeDRs2TJgwYejQoZdiT/5Y8zCUzw+U/0l8LvrVr37VnNDsbwbKZzxdLbASLGisaRM3mLFq1aqHHnoocrfIt9NC6xJ3bGP9gH/wwQfmivn5+YFA4Omnn456LZ+6BDPceuut27dvDwZuaWnJzc1NcBAw2LHAQqKCTyuFhYUvv/zyf//7X/M0sWzZsi9/+cvBHRYsWGBeZZonqbVr1wafcNevX3/HHXe89dZb7733nnmK/OY3vxl2wuBGrD3980S90zw5lpSUHO01Z86c1atXR150/vz5b775pkn75JNPXn311Z/97GcPHTrk3Qy+sI4VyTxL/uY3vzFPqeYZc8mSJT45zTN78GndvGo3z9f+DyTW/p///OfNozBjfubMmZUrV5qb/ueJu39U5uGvW7fOjEys03ruuuuuBx544JVXXjHTIPT+rq4uMzInTpww21VVVWZRVVFRYbbfeeeda6+91vyrd0LT1cxa9q9//au5uWfPHrNt7unTAssU951eZuPb3/522IFxqx+pr4eY+++9997//Oc/wZtRJ3+s04by+YGKmy3qRU25TYH+08uUoB8WWAkWNNa0iRvsUu/SxEyhRB5CaF3ijm2sH/Dvfe97s2fPNs8P5v7y8vKo1/KpSzDDH//4xxtvvNGMhvdP5rniBz/4gf9jR8pggYVERX16PXv2rHmhFtzh2LFj3vaFCxfMq1Vv+4Ybbnj99de97ePHj5sX3GEnDG7E2jNWnqi8f73++utfe+01b9u8si8oKIi86LvvvhtM29fwEydOfO65544cOeKT0JOWluYtLC71rj+GDRsW+UAS2d8sJszVvcdoNoItJNZ54u4fydt53Lhxb7zxhv+epu6mu0ybNi0jI8MM9eOPPx58UW5eyj/zzDNmw7x2f/XVV72u//3vf9/cH5pzy5YtZkV7qffXRj/+8Y8v/d/SRBY0LGewuP/+978jixu3+pH6eoi5//Dhw6E3o86fWKeNJewHKm62WBcNvgVrDuzTAsvnZ8rn/kvxChp8dLGmjX+wS70/CyNGjEjkIYTWJVTUsY31A/7hD384+I5grGv51CU0w6c+9alf//rXZuPgwYMmgKlU1HhIPSywkKjgk0tDQ0NxcXF2drb3JBtcAUQ+03kb5nk/9EnZLCDCdoi7p3+eqHeaZ/D29nZv22yYm7Euahf+b3/724IFC8aOHWterAd/oxeVq3ewzGvlJ554IviZKnPT/zxx94/KNKE1a9aYtVEiO1/q/TizWeIsWrQo+KbX3//+9+nTp3d2dk6dOtXcNC/fOzo6PvrRj5r7Q3OaO3Nzc7dt22b+G/x9XNQHEsns4F/cuNWP1NdDzP1hf68Q9q/+pw0V9wcqwWyh+wd/XWX279MCy2cfn6G41MeCRk6bqIu2UN4v1xJ5CKF1iTu2sX7AQ8c81rV86hKaoa6uzsz/7u7uBx980Lwqi3wISFUssJCo4JOLeaH2i1/84vTp0+Ypw/w37pLFPLn4fzo17p7+eaLemcg7WD5nSzCSeRr9wx/+EPU3F0GuPoNlOkGfPoMVd/9YzM6jR49OcGePWcNdffXVwZtmgbVlyxbvN6eLFy9++umnp02bFplz3bp1w4cPD/7GpE8LrGBxzUbi72B5n8uJyuIdrERuJvIOVtwfqASzhe5v/Q6Wzz5xh6KvBQ2bNv5JVq1atXDhwsg9w2oadmDcsY31A25eOEW+gxV2rQTrYp4lbrrpphUrVkyaNCn4eUFcCVhgIVHBZw2znnjppZfMi9RDhw7df//9cZcszz77bElJSXNzs3ly+de//vWFL3whbIe4e/rniXpndXV18OMR5iXsypUrY13ULnxpaal5bjV3mgVWXl6eT86ampo+/RVhrP3Nwss8Cu8dqW9961uJLNT89w9lWpd5jF1dXUeOHFm2bFncz2DdfvvtL7zwwvHjx80hJufSpUvvuuuu4L8+88wzY8eO/eUvf2m2f/7zn1911VXeLw19TngpgX4cuue8efO8z2CZjcjPS8Wq/jXXXGMeZtRzxp0wsdL634x12lBxf6ASzBa6f/AzWHfeeWe/LbDiHug/baIee+HChcbGxuXLl8f6K8KwmoaFiTu2sX7An3zyydmzZ5ujQj+DFXatxOfMjh07zJ0/+clPoj5GpCoKjEQFnw527dplXvaNGDEiPz//ueeei7tkuXjxotnthhtuSE9PN6/k6urqwnaIu6d/nqh3tre3l5WVeX/gYzaC7+T3dYEVK9L27dvNIGRkZNx8880vv/yyT07z+tW8ePW+j6qysjLq92CF/nIk1v4HDx78zGc+8z+9TFt68803/c/js3+k2trawsLCkSNHTpw40bQ981o/1sh4/vznP993333Z2dlmBCZPnvzYY4+FHtLa2mqmh+k6Zts0RbMd+iVGThZY3l8RmgBf+9rXIv9ENFb1169fb0Y16vnjTphYaf1vxjptqLg/UAlmC93/K1/5ihkcM0Tf+c53on50KZFHEXbnkAg+R12KVlD/aRN27JDe78Eyq/Np06ZVVFR4fzkRKaymYWHijm2sH3CzBDQvSyZMmGDSbtiwIeq1Ep8zL7744pQpUz744IOo44NURYGRkDNnzowZM2agUwD/i86UuH/+859mKTPQKbR0d3cPHz68P694zz33bNu2rT+vCAU8TyG+zs7Op556au7cuQMdBPhfLLDiKi8vP3bs2OHDh++4445vfOMbAx1HS0NDg/9fKDt08eLFLVu23HTTTcFvasCVg+cpxDdixIhPfOITkR/57B+Rv5jQ7K+DIuegCBnXYMzcz5599tkJEyaMGzfu0Ucf5XsBwlx11VWbNm3qn2uZuTpp0iSzpOufy0EKz1MAAACOscACAABwjAUWAACAYyywAAAAHGOBBQAA4BgLLAAAAMeulAVW1L9OBwAAg9pAry9i0k3mlnINAACABeXmrpvMLeUaAAAAC8rNXTdZ8gbLu4gAAMCCcnPXTeaWcg0AAIAF5eaum8wt5RoAAAALys1dN5lbyjUAAAAWlJu7bjK3lGsAAAAsKDd33WRuKdcAAABYUG7uusncUq4BAACwoNzcdZMlj69pAAAghSk3d91kbinXAAAAWFBu7rrJ3FKuAQAAsKDc3HWTuaVcAwAAYEG5uesmc0u5BgAAwIJyc9dN5pZyDQAAgAXl5q6bzC3lGgAAAAvKzV03WfL4mgYAAFKYcnPXTeaWcg0AAIAF5eaum8wt5RoAAAALys1dN5lbyjUAAAAWlJu7bjK3lGsAAAAsKDd33WRuKdcAAABYUG7uusncUq4BAACwoNzcdZMlj69pAAAghSk3d91kbinXAAAAWFBu7rrJ3FKuAQAAsKDc3FWS7d69u7i4OCMjIzc3d8mSJadOnfLud/VrPuUaAAAAC8rNXSXZ3Llz6+vr29raTpw4sXTp0vnz53v3uxo75RoAAAALys1dMdm5c+dGjx7tbbPAAgAAUSk3d8VkdXV1s2fP9rbN2OXk5GRmZk6dOnXjxo3d3d1251SuAQAAsKDc3OWSNTY2Tp48+cCBA6F3dnR0NDQ0FBUVlZeX+xw7xNdlDg4AAPqVcnPXSrZnz578/Py9e/dG/deWlpZAIGB3ZuUaAAAAC8rNXSjZjh078vLy9u3bF2uHo0ePjh8/3u7kyjUAAAAWlJu7SrL169fn5+fv378/7P7S0tKmpqbOzs7m5uaSkpKysrLgP/VpWJVrAAAALCg3d5VkkR+ZamtrM/fX1tYWFhamp6cXFBRUV1e3t7eHHtKn87sPDQAABo5yc9dN5pZyDQAAgAXl5q6bLHn8FSEAAClMubnrJnNLuQYAAMCCcnPXTeaWcg0AAIAF5eaum8wt5RoAAAALys1dN5lbyjUAAAAWlJu7bjK3lGsAAAAsKDd33WRuKdcAAABYUG7uusmSx9c0AACQwpSbu24yt5RrAAAALCg3d91kbinXAAAAWFBu7rrJ3FKuAQAAsKDc3HWTuaVcAwAAYEG5uesmc0u5BgAAwIJyc9dN5pZyDQAAgAXl5q6bLHl8TQMAAClMubnrJnNLuQYAAMCCcnPXTeaWcg0AAIAF5eaum8wt5RoAAAALys1dN5lbyjUAAAAWlJu7bjK3lGsAAAAsKDd33WRuKdcAAABYUG7uusmSx9c0AACQwpSbu24yt5RrAAAALCg3d91kbinXAAAAWFBu7irJdu/eXVxcnJGRkZubu2TJklOnTnn39/T0VFRUBAKB7Ozsqqoqc9Pu/Mo1AAAAFpSbu0qyuXPn1tfXt7W1nThxYunSpfPnz/fu37x584wZM97qZTa2bt1qd37lGgAAAAvKzV0x2blz50aPHu1tz5w50yy8vG2zUVRUZHdO5RoAAAALys1dMVldXd3s2bO97aysrJMnT3rbra2tgUDA7pzKNQAAABaUm7tcssbGxsmTJx84cMC7mZaW1tXV5W2bjWHDhvkcO8TXZY8OAAD6kXJz10q2Z8+e/Pz8vXv3Bu/hHSwAABCVcnMXSrZjx468vLx9+/aF3slnsAAAQFTKzV0l2fr16/Pz8/fv3x92f01NTay/IuzTsCrXAAAAWFBu7irJIj8y1dbWdqn3e7BWrFgR6FVZWRn6PVgssAAAuJIpN3fdZG4p1wAAAFhQbu66ydxSrgEAALCg3Nx1kyWPr2kAACCFKTd33WRuKdcAAABYUG7uusncUq4BAACwoNzcdZO5pVwDAABgQbm56yZzS7kGAADAgnJz103mlnINAACABeXmrpvMLeUaAAAAC8rNXTdZ8viaBgAAUphyc9dN5pZyDQAAgAXl5q6bzC3lGgAAAAvKzV03mVvKNQAAABaUm7tuMreUawAAACwoN3fdZG4p1wAAAFhQbu66ydxSrgEAALCg3Nx1kyWPr2kAACCFKTd33WRuKdcAAABYUG7uusncUq4BAACwoNzcdZO5pVwDAABgQbm56yZzS7kGAADAgnJz103mlnINAACABeXmrpssefwVIQAAKUy5uesmc0u5BgAAwIJyc9dN5pZyDQAAgAXl5i6ULOrv8lz9mk+5BgAAwIJyc3efrL29feXKlQUFBRkZGea/q1ev7ujo6EOgiAWWk1TKNQAAABaUm7v7ZGVlZcXFxU1NTWalZf47Z86c5cuX9yEQCywAAJAA5ebuPtn48eOPHj0avGm2zT19CBSxwMrJycnMzJw6derGjRu7u7vtUinXAAAAWFBu7uoLLE9HR0dDQ0NRUVF5ebn/sT4SzwAAAPQpN/fL8ivCkpKS1157rb293fzXbCfzK8JQLS0tgUDALpVyDQAAgAXl5n5ZPuReXV19/fXXZ2RkmP+uWrUqmQ+5h+rrm2EJnhYAAAxGys1dLlnYYJWWljY1NXV2djY3N5eUlJSVlcXas0+nBQAAg51ycxdKFvUjU7W1tYWFhenp6QUFBdXV1e3t7aH79+nkjuMCAIABpdzc3SdramoqKioaNWqU1AfMFTIAAACHlJu7+2S33HLL2rVrL1y44PzMyVCuAQAAsKDc3N0ny8jIOH/+vPPTWuBrGgAASGHKzd19suuuu+7tt992ftokKdcAAABYUG7u7pNt2rRpwYIFx44dc37mZCjXAAAAWFBu7s7+T3/i36KukAEAADik3Nx1k7mlXAMAAGBBubm7TzZ06FDn50yecg0AAIAF5ebuPtmHPvShd9991/lpk6RcAwAAYEG5ubtPtmHDhs997nOHDx/u6elxfvI+UfscGAAAcEi5ubtPxofcAQBAP1Bu7rrJ3FKuAQAAsKDc3HWTuaVcAwAAYEG5uesmc0u5BgAAwIJyc9dN5pZyDQAAgAXl5q6bzC3lGgAAAAvKzV03WfLU/pIRAAA4pNzcdZO5pVwDAABgQbm56yZzS7kGAADAgnJz103mlnINAACABeXmrpvMLeUaAAAAC8rNXTeZW8o1AAAAFpSbu24yt5RrAAAALCg3d91kyeNrGgAASGHKzV03mVvKNQAAABaUm7tuMreUawAAACwoN3ehZFF/l9fT01NRUREIBLKzs6uqqsxN65O7yAgAAFQoN3e5ZGGDtXnz5hkzZrzVy2xs3brVyWkBAMBgp9zc5ZKFDdbMmTPr6+u9bbNRVFTk5LQAAGCwU27ucsnCBisrK+vkyZPedmtrayAQcHJaAAAw2Ck3d7lkYYOVlpbW1dXlbZuNYcOG+R/r4zKGBgAA/U65ucsl4x0sAACQCOXmLpeMz2ABAIBEKDd3uWRhg1VTUxPrrwj7NKzKNQAAABaUm7tQsqgfmerp6VmxYkWgV2VlZej3YLHAAgDgSqbc3HWTuaVcAwAAYEG5uesmSx5/RQgAQApTbu66ydxSrgEAALCg3Nx1k7mlXAMAAGBBubnrJnNLuQYAAMCCcnPXTeaWcg0AAIAF5eaum8wt5RoAAAALys1dN5lbyjUAAAAWlJu7brLk8TUNAACkMOXmrpvMLeUaAAAAC8rNXTeZW8o1AAAAFpSbu24yt5RrAAAALCg3d91kbinXAAAAWFBu7rrJ3FKuAQAAsKDc3HWTuaVcAwAAYEG5uesmSx5f0wAAQApTbu66ydxSrgEAALCg3Nx1k7mlXAMAAGBBubnrJnNLuQYAAMCCcnPXTeaWcg0AAIAF5eaum8wt5RoAAAALys1dN5lbyjUAAAAWlJu7brLk8TUNAACkMOXmrpvMLeUaAAAAC8rNXTeZW8o1AAAAFpSbu24yj6tf8ynXAAAAWFBu7rrJPK7GTrkGAADAgnJz103mYYEFAACiUm7uusk8ZuxycnIyMzOnTp26cePG7u5u6/O4DQYAAAaWcnPXTRaqo6OjoaGhqKiovLzcZ7chvvotLQAA6AfKzV03WaSWlpZAIGB3rHINAACABeXmrpss0tGjR8ePH293rHINAACABeXmrpvMU1pa2tTU1NnZ2dzcXFJSUlZWFvynPg2rcg0AAIAF5eaum8xTW1tbWFiYnp5eUFBQXV3d3t4e/CcWWAAAXMmUm7tuMreUawAAACwoN3fdZG4p1wAAAFhQbu66yZLH1zQAAJDClJu7bjK3lGsAAAAsKDd33WRuKdcAAABYUG7uusncUq4BAACwoNzcdZO5pVwDAABgQbm56yZzS7kGAADAgnJz103mlnINAACABeXmrpsseXxNAwAAKUy5uesmc0u5BgAAwIJyc9dN5pZyDQAAgAXl5q6bzC3lGgAAAAvKzV03mVvKNQAAABaUm7tuMreUawAAACwoN3fdZMnjrwgBAEhhys1dN5lbyjUAAAAWlJu7bjK3lGsAAAAsKDd33WRuKdcAAABYUG7uusncUq4BAACwoNzcdZO5pVwDAABgQbm56yZzS7kGAADAgnJz102WPL6mAQCAFKbc3HWTuaVcAwAAYEG5uesmc0u5BgAAwIJyc9dN5unp6amoqAgEAtnZ2VVVVeam3XmUawAAACwoN3fdZJ7NmzfPmDHjrV5mY+vWrXbnUa4BAACwoNzcdZN5Zs6cWV9f722bjaKiIrvzKNcAAABYUG7uusk8WVlZJ0+e9LZbW1sDgYDdeZRrAAAALCg3d91knrS0tK6uLm/bbAwbNsxn5yG++iUvAADoJ8rNXTeZh3ewAABAVMrNXTeZh89gAQCAqJSbu24yT01NTay/IuzTsCrXAAAAWFBu7rrJPD09PStWrAj0qqysDP0eLBZYAABcyZSbu24yt5RrAAAALCg3d91kbinXAAAAWFBu7rrJksfXNAAAkMKUm7tuMrf8vyILAAAMRgO9vohJN5lzymUYcAyOP8bHH+Pjg8Hxx/j4Y3z8KY+PbjLnlMsw4Bgcf4yPP8bHB4Pjj/Hxx/j4Ux4f3WTOKZdhwDE4/hgff4yPDwbHH+Pjj/Hxpzw+usmcUy7DgGNw/DE+/hgfHwyOP8bHH+PjT3l8dJM5p1wGiGPywBqTB8lg/gxeV1DlmKawxuSBNSYPksH8GbyuoMoxTWGNyQNrTB4kg/kzeF1BlWOawhqTB9aYPEgG82fwuoIqxzSFNSYPrDF5kAzmz+BF5QAAABxjgQUAAOAYCywAAADHWGABAAA4xgILAADAMRZYAAAAjrHAAgAAcGyAF1i7d+8uLi7OyMjIzc1dsmTJqVOnvPt7enoqKioCgUB2dnZVVZW5GTxkyP8Xdqp//OMf8+bNGz16dF5e3vPPPx/rilEP97lcImmH/F8W4wALKTl5srKyLIYCfZUak+fMmTMPP/zwmDFjcnJy1qxZ0/dhgKXBNX927dp12223paenm7SLFi06fvx43FRwYoCHde7cufX19W1tbSdOnFi6dOn8+fO9+zdv3jxjxoy3epmNrVu3hh0YNiEOHDgwceLEX/3qV++9915LS8uDDz7of92ww+Nezj8ts3NApMbkCbVhw4bHH3/c/+pwIjUmz+LFi0tLS4/3euCBB376058mPgJIxuCaP3PmzNm5c6dZjp87d27t2rVmaeh/WrgiNKym9mYV723PnDnTTF9v22wUFRWF7Rw2Icy8/OEPf5j4tcIOj3s5/7TMzgE3eCdPUGdn5+TJk995553Ek8CJwTt5xo4daxq8t23WWLNmzUo8CVwZXPPHLAozMzP9TwtXhIa1rq5u9uzZ3nZWVtbJkye97dbW1kAgELZz2IQYP378qlWrcnNzx4wZ8/DDD5uluv+1wg6Pezn/tOZsOTk5ZtZOnTp148aN3d3dcQ+HW4N38gSZV5+PPPJI3GPh3OCdPGaBZY7yts1KK5HD4dwgmj/nz59ft25d5NvnLLAuE5VhbWxsNC/fDxw44N1MS0vr6uryts3GsGHDwvYPmxBmh4ceeuhEr9LS0sWLF/tfLuzwuJfzT+vp6OhoaGgwryHKy8v9D4dbKTB5Ll68+JGPfKS5udn/WDg3qCfPwoULv/SlL3lX/+IXvzh8+HD/w+HcIJo/3metxo0b98Ybb/ifFq5IDOuePXvy8/P37t0bvKevrwPM/qGv5HJycoK7Rf0EX4KvA6IeHpk2VEtLC68j+1NqTJ4dO3bcc8898R8tnBrsk+f06dNmXZWdnT1+/Pgnn3zy2muvTfSRw4XBNX+Ms2fPrlmz5tZbb/U/LVwZ+GE1rSUvL2/fvn2hd/b1N9mzZs0K/SxCcJrGYv2b7KhpQx09etQ82flfHa6kzOSZPn36K6+84n9duJUyk8fzox/9yCy2/K8OhwbX/Akya6zID4CywLpMBnhY169fb14B7N+/P+z+mpqaPv0txvPPPx98q7y0tDTuZ1nCDo97Of+05opNTU2dnZ3Nzc0lJSVlZWX+V4cTqTF5LvX+EfWnP/1p/4vCrdSYPObS5hXdmTNntm/fPnHixNdff93/6nBlcM2fhQsXmt7U1dV15MiRZcuW8RmsfjPAwzokQltb26Xer/dYsWJFoFdlZWXUbxMJewt09erVZvmfnZ1tJpPPRwWjHu5zuUTS1tbWFhYWpqenFxQUVFdXt7e3Oxkc+EuNyXOp91VsXV1d8gOCxKXG5DHtOS8vLzMzc+7cuY2NjU5GBokYXPPH61AjR440q/ClS5eePn06bio4wYACAAA4xgILAADAMRZYAAAAjrHAAgAAcIwFFgAAgGMssAAAABxjgQUAAOAYCywAAADHWGABAAA4xgILAADAMRZYAAAAjrHAAgAAcIwFFgAAgGP/DwnQbZfeyUg5AAAAAElFTkSuQmCC)
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