Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emine_Kalafatoglu_101711_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 31 2007 |
Start Time | | 2007/12/31 19:00 |
End Time | | 2007/12/31 21:29 |
Key Words | | substorm |
Model | | GUMICS |
Model Version | | 4-HC-1.11 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 0.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.00 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 74.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Emine_Kalafatoglu_101711_1 |
Minimum Dst Value | | -6 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIE1heSAzMSAxNjoyNzoyOSBFRFQgMjAxN7vJdhMAAAGzdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiRW1pbmVfS2FsYWZhdG9nbHVfMTAxNzExXzE6IEdVTUlDUyBwbG90IG9mIHJobyBhbG9uZyBUSEVNSVMtRCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwNy0xMi0zMVQxOTowMDowMC4wMDBaIiwgIm1heCI6IjIwMDctMTItMzFUMjE6Mjk6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjc2OTU4NTQ5OTUsICJtYXgiOjEuOTA5NzI0NTAwNSwgInRvcCI6NTIsICJib3R0b20iOjI0OCwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfbJeXqUAAAAEZ0FNQQAAr8g3BYrpAAAvcUlEQVR4nO3df3wU9Z34cUJCCBDoJqQQKD+CQhtb1Dw49EDiGW2woWAblYeHgopKD87GyvUiBAiIFiv2Io88fFRJDzj1cbRGzbVpC0jb3KVtPFOPHtRyEgU1esEGQY24ttuyNXzfl8/dfJf9MTu7md2Znc/r+Uces5PZmfdn3jPzee/s7MyQswAAALDVEKcDAAAA8BoKLAAAAJtRYAEAANiMAgsAAMBmFFgAAAA2o8ACAACwGQUWAACAzSiwAAAAbEaBBQAAYDMKLAAAAJtRYAEAANiMAgsAAMBmFFgAAAA2o8ACAACwGQUWAACAzSiwAAAAbEaBBQAAYDMKLAAAAJtRYAEAANiMAgsAAMBmFFgAAAA2o8ACAACwGQUWAACAzSiwAAAAbEaBBQAAYDMKLAAAAJtRYAEAANiMAgsAAMBmFFgAAAA2o8ACAACwGQUWXGTIkDgb5AsvvDBjxoy4k6U0BmSKVKTS4haYikWzZQKZhT0W53D2IB536eXl5d///vedjQGZIhWptLgFUmBlFtYtUoGtymuGRHA2GGP4t7/97YQJExoaGixOH9WYMWP++Mc/Wl9oEpJ+e9QV3t/fv2bNGp/PV1BQUFdXJy/Npw/LnbTXfHqT8daDNNHb23vnnXeWlJQMGzZMmlBVVbV3715jVlHnbwx89rOfDW2vDF9wwQWhExj/6urquu666woLC3Nzc2fPnv3ss8+q8R988IGstBkzZowYMUKW/uUvf7mtrc1i5LEiTGiCSFa2wOTm7Mg8jTlHPW7ETXHUQ4311FvPr5p/VlaWrP+ysrK1a9eePHky1pTJrIKkUJbBHNuH17hqnzeCeeGFF8aPH//d737X4vRJT2BxmrS9vampadasWW8MkIEdO3ZYX9y2bdtqa2stTp9Q2BYnPn78+NSpU//+7//+yJEjf/jDH959990f//jHX/jCF0xmEtqJSqn0ox/9yPjXD37wAxkT2csePXpUtg2pvN966y2pXX71q19df/316l+yrK985SsywZ/+9CfpUJ9++ukrrrjCxmYmkWvrhWyic3ZknuaLiJviWDOxmHrr+TXe8tFHHx08ePBrX/vaxIkTu7u74zYhpVx1sIULsX14jclR77HHHps2bVpubu7nPve5jo6Oxx9/XD475uXlzZkzp6urK+ztMrB9+3bpX9UEhw8fVuM//vjjb3zjGyUlJfKJ87bbbpPjXdxgfvrTnxYXF//sZz8zxr/66qvSiRYWFsrn0WuvvfbUqVNhS486QdhnZSvTCOmz77777vEDZMA4/SADq1atkrfL+Iceeijy6G+ls4nVZMPcuXP37dunhmVg3rx55tMbpMuRZEmJY3H6QRZYUd9+++23r1u3zvpMzp679p555pnQ9spW9Oyzz0au3ptuumnLli1RFzFixIgPPvggZjNCFioZHDdunGTzq1/9qqy6sEVE3QYiN5VQib5FxkhBPGnSpKysrLOxd59YW2OouHtHrJmYLDTqph51TZq8DBtpsilaTL3F/EZd1saNG5ctWxY5WeTptNC8xF23sY5vwWBQljhlyhSfz6dOw1s/1ITGcPnllz/11FNGwPKhYsKECRZXAjIOBZbXmBz1Fi5c+Nprr8kh44EHHhg9evSXvvSl119/Xb00PjiGHpiqq6vlM6JMcN999xmHy4cffvjzn//8G2+88f7778sB7utf/7p5MC0tLZMnT/7P//zP0PEXXXTRv/3bv/3hD3+QI0tNTc2KFSvClh53AovTnB04EFdWVvYMuPLKKzdt2qTG19fXL1iw4O0BV199dYoKLDmOGwdx+YwuR2fz6Q07duyQ43vc+ScaXqyJo75dDv3SIVmfydlz1570VVLB//u//7u8bG9vl2EZE7l6pTeS7TDqIiRBN9xww/PPPy9ZNm+OpPj4ABnYvHlz2CJibQMmKy3Rt8j4L3/5y7ItGS+j7j6xZhsq7oZtElvUhcba1KO2wuRl2EiTVWEx9RbzG3VZUprIxzYrTQjNS9x1G+v4Jp8BKioq5Pgp41evXh11WSZ5MWLYv3//BRdcIGtD/euOO+7YunWreduRuSiwvGZIBGP87373OzX8+9//Xl729vYaL+WjpDGZMRB1gtLS0ldeeUUNnzhxQj4umweTk5PzL//yLybTnD59Wj7bhS09oQnMpznvvPNefvllNSyf6c8//3xjvHHeTiZIUYE1dOjQM2fOqGEZyM7ONp9ekePvpz/96SNHjsSdf6LhJTSx5C6054vcokzmrAa+853vSB1/duDLoH/8x3+MnEAtJRAIRA1A0iqd1sUXX5yXlyf5qq2tjfpZX2ZlpPi//uu/jBQbi4i1DZish0TfIuPffPPN0JdRd59Ys40l6oZtElushUbd1KO2IuxlVLH+GzoTK6m3mN/IwM4O7E3Dhg2z0oTQvISKum5jHd+mT59unBGMtSyTvITGcMkll6iLJY4ePSoBSKaihgcPoMDyGosdcKyXccsLOWqHHlKlgDAPZteuXYWFhb/4xS9Cxx84cOCqq64qKChQMzHKDmMpcSewOI2QY7fRf8uAvDTGG+fwZXyKCqzkzmA1Nzdfc801VuafaHgJTVxcXBx5Bst4r3RvYd9wyWo0tgc1mUwwYcKE733ve/LX+JYtbD4mZ7AM/f39UjndeuutCxcujNqcqCk2FhFrGzBZD4m+RcaH/YIh7L/msw0Vd8O2GFvo9FE39aitMHkZNtJ8U7SSekNkfqMWbaHUl2tWmhCal7jrNtbxLXSdx1qWSV5CY2htbf3MZz7z5z//+cYbb3zkkUcimwDPoMDymlQXWHJoiHptqclCf/jDH8oRTf4a4+Wz3ZNPPvnee+/JUUb+Ri407gQm06iLLQxJn8GS46Px4bK3tze5Aiu5a7DKysqef/55K/OPO34wE0uHV1dXF+u9F1xwwa9+9avQf3V2dpaUlIRN9uCDD+bk5Bjfg0Su55tuuumb3/ymlXj6+vpGjx4dOX5IyBksGbB+BitsUwmVxBksKy+tnMGKu/FbjC10+qTPYJlME3dVxE19mFj5jfqWjRs33nzzzZFThuU07I1x122s49uMGTMiz2BZPNSExSDF1oUXXnjPPffIzmJcLwhPosDymlQXWI2NjZWVlUeOHJFDw29/+9u//uu/thLML3/5y7Fjxz7++OPqZXFx8Q9+8AP5XPv6669ff/31kQuNO4HJNJ/85CdDv1zbsGGDcWGEfHitr683xhsXpnzhC1+IXIQUQ/fdd99HH330xhtvfOlLX0quwNq+fXuivyLcu3fvZZddZnH+ccdbnDjq2998882JEycavyJ8//33f/zjHxtTPvroo9JP/PznPz89oL29febMmd/61rcsxmkMHD16VFK5bds2SZBk88UXXzR+RXjFFVc8/fTTJ06cOHPmjKzAlStXSsqizvPqq69W12DJQOT1UrG2gbBNJVSstwxy/4o121BxN36LsYVOH3VTT7QVYSMT3RQj32gxv6Fvkc88Bw8evPvuu2P9ijAsp2HBxF23sY5vDzzwQEVFhbwr9Bosi4eayBXS3NwsI3fu3Bm1jfAMMuo1QyIY48Mmi/oy7vQff/zxI488UlpaOnz4cOlfW1tbzYMxhl966SU5JqoOWGoI+aQ4bNiwKVOmyNwiFxp3ApNpHn74YZ/PZ7wMBAJ33XWX+mmPDISew/+bv/mbgoKCcePG3X///cb1HMYb5TPonDlz8vLypk6d+thjj8U9/EVd7fJpVT6q+gasXbs26n2wQqc/O3Ary6hrNdb0scZbD/Js7IP7W2+9dfvtt0vicnJypES+9tprX3jhBaNpUjHPnj37EwNk4Mknn4w7w6iplF5K5iyrKDc395JLLjHug/Wv//qvMl5yJFmYNm3aV7/61ffeey/qPNWvCGXKv/3bvw399ZYaiLUNhG0qoWK9ZZAFVqzZhoq78VuMLXT6qJt6oq0IG2nxUBP1jWrAYn6NZWVlZeXn51988cVr1qx55513ok4ZltOwYOKu21jHNykB169fP2nSJIlWPgxEXZb1bUa28BkzZgSDwajrB55BRoH/Kf7k+O50FEgSPZN1bOqR/vznP8vnh3Qu8Zprrvne976XziXCERyYoK/Vq1f39va++eabn//85//u7/7O6XCQJAqsuNjUTRw4cMD819A2+vjjj7/zne9ceOGFxp0a4GEcmGCDyC8LMqLPa2xsnDRp0rhx477yla9Y/LF0RrQ0I4K0kbdbZ4skNnV95OfnP/bYY+lZlmyrJSUlUtKlZ3FwFgcmAAAAm1FgAQAA2IwCCwAAwGYUWAAAADajwAIAALAZBRYAAIDNdCmwov5wHQAApJnTFUGaaNNObTIKAIBr6dMde7mdepbMAAC4lj7dsTbt1CajAAC4lj7dsTbt1CajAAC4lj7dsTbt1CajAAC4lj7dsTbt1CajAAC4lj7dsTbt1CajAAC4lj7dsTbt1CajSWhubt6yZcupU6ecDgQA4HH6dMfatFObjCbqqaeeUrexGDt2bEtLi9PhAAC8TJ/uWJt2apPRhPT29k6ePDn0bmGLFi3q7u52Oi4AgDfp0x1r005tMmqdVFelpaWyZqZMmfLUU081NTX5fD55mZ+f39DQEAwGnQ4QAOA1+nTH2rRTm4xaZFRX8leGjZFLlixRp7LKyso6OzudDRIA4DH6dMfatFObjFoRtboy7N+/v6SkRP6bk5NTUVHxwgsvOBIkAMB79OmOtWmnNhmNy7y6UgKBQF1dXVZWlkwmf//hH/6BbwwBAIOnT3fsonbGfSrz66+/vmjRIt8AGZCXCc3cjhgznpXqynD99dcbSZk+ffrgf2N47NixQc4BAJDR9OmOXddOk1U/d+7cDRs29A1Yt26dvLRltvp46aWXrFdXwu/37969e9euXepdory83PzCLFlEcXHx+PHja2trN59L3itzmD17tn0NAgBkGH26Y9e102TVjxw58sMPP1TDp0+flpe2zFYTl112mSqSLFZXoYLBYFNTk1ROag5LliwJPRclw1KH1dTUlJWVDR06dEg8F1100ZYtWzibBQAa0qc7dl07TVb94sWLN23a9MEHH/T19dXX18tLW2ariezsbFkJI0aMSLS6MqjVnpeXJ/PJzc0tLy9fuHBhUVFRaPGUk5MzZsyYadOm1dXVhZ3BWrFiRUlJiXq78UNFo9KSmdvaXACAG+nTHbuunSar/vjx41OnTlV9swy8/fbbke81keLAXe3QoUOyBqTG+uEPfzjIWfX09Cxfvjx0xRYXF1dXVzc0NHR0dAQCAfO3ywStra3Lli3Lz8835jBy5EipzLZu3TrI2AAALqdPd+y6dpqs+srKynXr1hnXYMlLW2arg6qqKlkDtbW1ds1Q3ZJ0/vz5Sd/23ai0pLoyKi2ZrdRqjY2NUhHaFSoAwD306Y5d106TVT9ixAiuwUpCe3u7ql1s/BpO6qrm5ua456uskJnccMMNkyZNUjffCi22vvjFL15xxRX19fWDXwoAwA306Y5d187IVW+MmTt3rvS16gzW+vXr582bN5jZ6kP9fG/z5s1OBxJfb2+v1G2rVq0yfreo3HnnndyICwA8QJ/u2EXtjHXJlDF89OjRqqqqTwxYsGDBa6+9ltDMbQ43Q7S2tqrLpGw525ROUmytW7dO3ex0iE034gIAOEuf7libdmqT0VDBYLCsrEza3tjY6HQsSerp6Xn66aet34gLAOBm+nTH2rRTm4yGeuKJJ9S5n0z/fi3qjbik9nI6LgBAYvTpjrVppzYZNUhRIqWVNFzKLKdjsUfojbjUbb0SuhcaAMBx+nTH2rRTm4waGhsbhwzczDPTT1+FCb0Rl5RZXV1dTkcEALBKn+5Ym3Zqk1ElEAioL9RaW1udjiUlmpqaxowZIw3Mz8/n4ncAyBT6dMfatFObjCqbN29Wl4Q7HUgK+f3+JUuWqFNZtbW1HjtRBwCepE93rE07tcno2YFrldSd1tvb252OJeUaGxtzcnKksRUVFUk/ZhEAkB76dMfatFObjIra2lppb1VVldOBpElHR4f6PlT+yrDT4QAAYtKnO9amndpktLe3V/3OTqvH+UmrKyoqpNU5OTmZe9MvAPA8fbpjbdqpTUZvueUWdacopwNJt2AwqE7diVmzZp04ccLpiAAA4fTpjrVppx4Zfeihh6SlWVlZr7zyitOxOOPb3/62qrEmTpzIJVkA4DaadMdnKbC8JBgMjh8/XpUX3d3dTofjDCmq1D1IRUlJCXfJAgBX0aE7VrRppwYZ3bp1qzQzNzd3zZo1TsfipGPHjj3zzDNz5syRteHz+bjsHQDcQ4fuWPFyO4ecy+lwUquzs1PdraCtrc3pWFzB7/dXV1ery96bm5udDgcA8D883x0btGmnpzPa19dXUlIibayrq3M6FhcJBoM1NTWqvN66davT4QAAPN4dh9KmnZ7OqLqh+ezZs7mbeaSGhgZVY61atSoQCDgdDgBozdvdcSht2undjO7cuVM9kk/bC9vjamlpUfcGy83NveSSSyizAMApHu6Ow2jTTo9mtKurS0oraR2XGZnr6OhQNZZ4/vnnnQ4HADTl1e44kjbt9GJGA4FAWVmZNG358uVOx5IB9u7dm5uby+oCAAd5sjuOSpt2ejGjq1evlnZNnz7d7/c7HUtm6OzsVCf8+DUAADjCk91xVNq003MZ3bNnj7oHgVbPHBy8/fv3q/tZ8MhCAEg/73XHsWjTTg9lNBAI3HjjjerbLqqEJOzevVvVpi0tLU7HAgB68VJ3bE6bdnooo+vWrVMXa8+YMcPpWDKVuneD1Fjc5x0A0slL3bE5bdrpiYyeOnVq8eLFqroaNmzYc88953REGUxdwZafn3/48GGnYwEAXXijO7ZCm3ZmfkZbWlqKiorU8/V27drFzZwGT1WrxcXF3EIMANLDA92xRdq0M5MzGnriatGiRT09PU5H5BHBYLCiokLWamlpaW9vr9PhAID3ZXR3nBAXtdPKU5l/85vfXH311aNGjZo4ceKuXbsSmvmgA0y3QCDQ0dHx9NNPGyeunnjiCaeD8hq/36/uJSarl5u1AkCqZWJ3nBzXtdNk1b/66quTJ0/evXv3+++//9Zbb9144422zNa1/vIv/9IoOjlxlTq9vb3Z2dmykvPy8rijGACkVCZ2x8lxXTtNVr1UVN/+9rdtn607SU+vbsSQk5PDiatUu/baa1UhW15eTo0FAKmTcd1x0lzXTpNVP378+I0bN06YMKGwsPCWW27p6+uzZbYuFAwGKysrJWZpaVtbm9PhaOE//uM/iouLqbEAIKUyqzseDNe102TVZ2dnL1u27J0BS5YsiXyi3BBTKQ7cTtI69eu2Y8eOOR2LRrq6uqixACClMqs7HgzXtdNk1Y8ZM+bkyZNqWGqsoqIiW2brNsb9mXgGTvpRYwFASmVQdzxIrmunyaqXPk/qKjV84sQJTxZYjY2N6rqr9vZ2p2PRFDUWAKROpnTHg+e6dkauemPMrl27li5danxFeNtttw1mti7U3Nysvs3kGXnOosYCgBTJiO7YFi5qZ6xLpkKHN23aVFRUVFBQcPPNN3vsIve2tracnJwhPL/ZHaixACAV3N8d20Wbdro7owcOHMjPz5cga2trnY4F/0tqrPHjx0tSRo0a9eyzzzodDgB4gcu7Yxtp004XZ7StrU115MuWLXM6FpyjqanJOKXq8/mqq6sbGxv58QEAJM3N3bG9tGmnWzP66KOPqv57/vz5wWDQ6XBwDvUgndGjR0+bNi30+2sptq655ppbb72V3yIAQEJc2x3bTpt2ujKjUlFNmDBB9dkvvvii0+HATG9vb3Nz86pVq0pLS0OLrWXLlh0+fNjp6AAgM7izO04FbdrpyoyuWLFCXeJz//33Ox0LEiDF1qJFi0LLrKqqqv379zsdFwC4nTu741TQpp3uy+jOnTuHDDxg+MCBA07HgoT5/f6mpqZnn3129erV6gcKYubMmZLWQCDgdHQA4FIu7I5TRJt2uiyjnZ2d6qYMPMjZA/r6+hoaGiZNmqTKrIKCgksvvZTvfAEgktu649TRpp1uymhvb6+6x1JNTY3TscA2wWCwubl59uzZqswaPXq0JNrpoADAXVzVHaeUNu10TUalG54zZ47EU1FRwc8GPekzn/mMqrFKS0u7urqcDgcAXMQ93XGqadNO12RUXdg+adIkTm94ldTNbW1t6lRWcXFxZ2en0xEBgFu4pztONW3a6Y6McmG7Pvx+f1VVlaQ7Pz9/z549TocDAK7gku44DbRppwsyyoXtugkGg8uXL5eMS96ltnY6HABwnhu64/TwcjtjPT3aEfv37y8oKODCdg3V19erLXDz5s1OxwIADnO8O04bbdrpaEZffvll1cVOnz6dC9s11NTUpE5e3n777X6/3+lwAMAxFFhe42BGpaKaO3euKrDuvfdep8KAs1pbW0eNGiXbQG5ubnNzs9PhAIAzKLC8xsGMLlmyRJZeWFj40EMPcY9vnW3cuDH0cdHV1dWNjY2HDh1yOi4ASB8KLK9xKqOrV69WvyOjH4WU19ddd9155503Y8aM0KsDpdhauHDh0qVLufk7AM+jwPIaRzLa2NiofkHW3t6e/qXDzXp7e5ubm1etWlVaWmpUWtnZ2b/5zW+cDg0AUogCy2vSn1HpPlWv2dLSkuZFI7NIsTV//ny1teTn57PBAPAwCiyvSXNG29ra1K/GGhsb07lcZCi/3//oo48uWLBAlVm1tbX82hSAJ1FgeU06M3rgwIH8/HzVTaZtofAGqchVaV5RUcHDlAB4DwWW16Qto11dXcXFxbK4ZcuWpWeJ8JiOjg61CclfGXY6HACwEwWW16QnowcPHhw/frwsq6qqiq94kLTe3t6Kigr1C4lt27Z1d3c7HREA2IMCy2vSkFGpqNQ3gyNHjuRu3Rgk2Zxqa2uNHxiuX7/e6YgAwAYUWF6ThozW1dWpvvDiiy9O9bKgiZaWFrVRjR07lqodgAdQYDnA4lOZT506NXny5EQzlOqM7t+/X32hs27dOokwpcuCVr71rW+NGDFCtq7y8nJqLACZjgLLMXFX/Z133vnNb37TVQVWT09PUVGRLGLz5s2pWwq0ZfxyghoLQKajwHKM+ao/cuTI+eefHwgE3FNgBYNB6fZk/pWVlVzYjhShxgLgDRRYjjFf9V/84he/+93vxp0s0dkOhrr0Sjo/7lqElKLGAuABFFiOMVn1P/3pTy+99NL+/v5Ykw0xlYpojUuv2traUjF/IBQ1FoBMR4HlGJNVf+GFFxr3XXTDGSwuvUL6UWMByGgUWMkLBAL19fXnn39+Xl6e/N20adMf//jHBAKKveoHc1LK9oxy6RWcQo0FIHNRYCXvrrvuuuqqqw4fPiyVlvy98sor77777gQCilj1sb4NTCgq2zPKpVdwkNRY6pkB8hmmr6/P6XAAwCoKrOTJcb+np8d4KcMyxlIoMc5OubDA4tIrOO7BBx9Ue8qCBQucjgUArKLASl7SBVZK2ZjRjo6OYcOGyQw3bdpk1zyBRLW3txufRmTY6XAAwBIKrOTdddddlZWVL7/8ciAQkL8ynNBXhCliY0Y/97nPqV7tJz/5iV3zBJJw+PDhNWvWyKZYUlLCxVgAMgIFVvKkrtqwYcN5552Xl5cnfzdu3JjQRe4pYldGDx06JLPKysqaPn06XRocFwwG58yZI9tkTU2N07EAQHwUWF5jV0YrKytlVqtXr7ZlbsDgdXV1yYcZvigEkBEosLzGloyqq158Ph+/24KrNDQ08EUhgIxAgZW8w4cPz5s3b8SIEam+i3pCbIlh9uzZMp8tW7YMflaAjfiiEECmcENJkB72t1MO9Pfdd9/vf/972+c8GIPPaGtrq7rxVSAQsCUkwEZ8UQggI1BgJU+O8h999JHtsx2kQWY0GAxOnz5dZtLU1GRXSIC9+KIQgPtRYCVv6tSp3d3dts92kAaZ0SeeeELmIDUWT8WBa/FFIQD3o8BK3mOPPVZdXe22B8gMJqOBQEA9+q25udnGkADb8UUhAJejwEpwLvHYspRBRpj0e9U3L2VlZTbGA6SI2lyHDx/+wAMPOB0LAIRzQ0mQHtq0M9mM9vX1+Xw+eTuPHURGCAaDo0ePli126NCh/CADgNtQYCUvKyvL9nkmx5azaPX19fLeiooKe2MDUmft2rXqeQOHDx92OhYAOAcFVvI+9alP/e53v7N9toOUXEZ7e3vVFS0HDhywPSQgdWpqamS7LS8vdzoQADgHBVbytm3bdt1117355pv9/f22zzxpyWV01apV8sbq6mrb4wFSqq+vT/0yY/fu3U7HAgD/HwXWIObolYvcd+zYMXTo0JycnGPHjqUiJCClpLRSt8blyU4A3MMNJUF6aNPOBDPa3d2dlZUl7/rsZz+bopCAVCsvL+fZ5ABchQLLaxLNaEtLizr3tmHDhhSFBKTa4cOHcwZwtTsAl6DA8pqEMhoIBNSDce68887UhQSkwerVq7naHYB7UGB5TUIZ3bJli0w/c+ZMHoyDTMfV7gBchQLLa6xntLu7W92aoaOjI6UhAenB1e4A3IMCy2usZ7S6ulomXrZsWUrjAdKJq90BuAQFltdYzOj+/ftlSp/P57aHVQODwdXuAFyCAstrrGTUuLa9sbExDSEB6cTV7gDcgALLa6xklGvb4WHG1e7bt293OhYA+qLA8pq4GeXadnjek08+qe7u9sgjjzgdCwBNUWA5IO5zdZ577rmrrrpKyqAJEybccccd7777bkIzN5+Aa9vheT09PWoX+9SnPsVpWgCOoMByjMmqnz9//r59+/x+/zvvvLNy5cqFCxfaMtuzXNsObdTV1akztStWrHA6FgA6osByjMVV/+GHH44aNcqW2XJtO7TS0dGRn58vG/zmzZudjgWAdiiwHGNx1be2tlZUVNgy27vvvptr26EV2X1ycnJks9+5c6fTsQDQCwWWY6ys+oMHD06bNu3VV1+NfK+JqLNaunSp+i/XtkMrTU1NstlLmbVnzx6nYwGgEQosx8Rd9e3t7VOmTHnxxRdtmW1hYaH8Kzc3N6G5AR5QX18vG39+fn5nZ6fTsQDQBQWWY8xXfXNz88SJE3/961/bMlup1dSH+H/+539OdIaAByxfvlw9prCrq8vpWABogQLLMZGr3hjz8MMPT5kyJbmeIHK2wWCwrKxMxm/ZsiWJGQIeIHtBVVWV7AWlpaX8hBZAGlBgOSDWJVPGcORlVX6/3/rMw8bs3LlTRpaUlAQCAVviBzKR7ESzZ8+WfeETn/hEdXU1uwOAlKLA8pqwjBqPDWlubnYqJMAlent7x44dqz60PP74406HA8DLKLC8JiyjdXV1Q3jwLfB/fvSjH2VnZ8tOMWPGDK7HApA6FFheE5rRY8eOqZtZHzhwwMGQAFfp6elR3xUWFxfzu0IAKUKB5TWhGV28eLG8XL58uYPxAC7k9/vVNe/5+fncHwtAKlBgeY2RUXVrBuk/+M0UECkYDKp7N+Tk5HCfdwC2o8DyGpVRbs0AWKHuQcrzCgHYjgLLa1RGuTUDYFFTU5N6XuGKFSt4TCcAu1BgeY1klFszAAlpbW3Nz8+XXaawsFDqLafDAeAFFFheIxnl1gxAojo6OtR5rOHDhzsdCwAvoMDyGsloVlYWt2YAErVq1Sp1PZYUW07HAiDjUWB5jeohrrzySqcDATLP+vXr1fMKuXgRwCBRYHmNZPTyyy/v6+tzOhAg80hdJdWV7ET19fVOxwIgs1FgeUGsp0cDSFRnZ6e6OdahQ4ecjgVABtOnO9amndpkFEiRmpoa2Y/mzJnDXRsAJE2f7libdmqTUSBF/H7/pEmTZFdqaGhwOhYAmUqf7libdmqTUSB19uzZo5401d3d7XQsADKSPt2xNu3UJqNASi1ZskT2psrKSqcDAZCR9OmOtWmnNhkFUurUqVNFRUWyQz3xxBNOxwIg8+jTHWvTTm0yCqSalFayQ/l8Pim2nI4FQIbRpzvWpp3aZBRIg6qqKtmnFi9e7HQgADKMPt2xNu3UJqNAGnR3d6vnQO/Zs8fpWABkEn26Y23aqU1GgfRobGyU3aqgoOD48eNOxwIgY+jTHWvTTm0yCqTHa6+9pp6RUFpa6nQsADKGPt2xNu3UJqNAevT29mZnZ6saa8uWLU6HAyAz6NMda9NObTIKpE1XV9f999+vnlG4f/9+p8MBkAH06Y5d1M64T2Xu7+9fs2aNz+crKCioq6uTlwnN3I4YAYTbvHmzumvDsWPHnI4FgNvp0x27rp0mq76pqWnWrFlvDJCBHTt22DJbAIO0aNEi2cVmzpzp9/udjgWAq+nTHbuunSarfu7cufv27VPDMjBv3jxbZgtgkKSuKi0t5c5YAOLSpzt2XTtNVv2YMWOMO0efPHnS5/PZMlsAg9fV1aXujMUF7wBM6NMdu66dJqt+6NChZ86cUcMykJ2dHfleEykMGsDZs3v27OGCdwDm9OmOXddOzmABmcu44P2ll14KBoNOhwPAdfTpjl3XTq7BAjKauuA9KytrypQpXPMOIIw+3bHr2hm56o0x27dv51eEgMtJUTV27Fj1vfwjjzzidDgA3EWf7thF7Yx1yZQx3N/ff8899/gGrF27lvtgAe7085//vLCwUO3INTU1nMcCYNCnO9amndpkFHCDYDDY0NCQl5cnu15JSUl7e7vTEQFwBX26Y23aqU1GAffo6uqaM2cOp7IAGPTpjrVppzYZBVyFU1kAQunTHWvTTm0yCrhQ6KmsoqKipqYmpyMC4Ax9umNt2qlNRgF3UqeysrKyZGccPnw4XxcCetKnO9amndpkFHCzlStXqhqrvLycGgvQkD7dsTbt1CajgMt1dXUVFxdTYwF60qc71qad2mQUcD9qLEBb+nTH2rRTm4wCGYEaC9CTPt2xNu3UJqNApqDGAjSkT3esTTu1ySiQQaixAN3o0x1r005tMgpkFmosQCv6dMdebmesp0cDcBWjxiopKTl+/LjT4QBIIX26Y23aqU1GgUzU3NysPgj9xV/8hdOxAEghfbpjbdqpTUaBTNTT05Odna1qLCm2nA4HQKro0x1r005tMgpkKKmx1q9fL7tqfn5+d3e30+EASAl9umNt2qlNRoGMtmTJEtlbZ8+eHQwGnY4FgP306Y61aac2GQUyWl9fX0lJieywdXV1TscCwH76dMfatFObjAKZrrOzMycnR/bZtrY2p2MBYDN9umNt2qlNRgEP2Lp1q+yzxcXFp06dcjoWAHbSpzvWpp3aZBTwgGAwWFlZKbttVVWV07EAsJM+3bE27dQmo4A39PT0FBUVyZ7b2NjodCwAbKNPd6xNO7XJKOAZe/bskT03Jyfn0KFDTscCwB76dMfatFObjAJesnr1atl5x40bt2PHjkAgYPFdJ06cuPTSS2fOnMn9tAC30ac71qad2mQU8BIpqsaPH6/u8D58+PA5c+ZIydXS0tLT06P+29HRoe6YdezYsd27d9fU1JSVlRk3hf/617/udAsAnEOf7tgt7ezv71+zZo3P5ysoKKirq5OXkdO8/vrrixYt8g2QAXlpff76ZBTwmK997Wuy/w4dOjTs8e2TJk2SQ4EMTJ48WV2tZcjJyRk1atQnP/nJrq4up8MHcA59umO3tLOpqWnWrFlvDJCBHTt2RE4zd+7cDRs29A1Yt26dvLQ+f30yCnhMIBDYvXv3oUOH/H5/W1vbli1b1AetsHqruLi4urq6oaGho6PD+peJANJMn+7YLe2Uamnfvn1qWAbmzZsXOc3IkSM//PBDNXz69Gl5aX3++mQU0ERXV9f69esvu+yybdu2ca0VkCn06Y7d0s4xY8YYdxQ8efKkfDyNnGbx4sWbNm364IMP+vr66uvr5aX1+euTUQAAXEuf7tgt7Rw6dOiZM2fUsAxkZ2dHTnP8+PGpU6eqrwNk4O233w6bYIiplLcBAACY0qc7dks7rZzBqqysXLdunXENlry0Pn99MgoAgGvp0x27pZ1WrsEaMWIE12ABAJC59OmO3dLO7du3x/oVoZEMKcLq6+vVGaz169dHLcJi0SejAAC4lj7dsVva2d/ff88996h7XK1duzb0PlhGMo4ePVpVVfWJAQsWLHjttdesz1+fjAIA4Fr6dMfatFObjAIA4Fr6dMfatBMAALiA0xVBmujSzrPnVs1WhpkspZM5HgCTuS0AfSZzPAAmc1sA2k7mbbq08yy7mcsmczwAJnNbAPpM5ngATOa2ALSdzNt0aedZdjOXTeZ4AEzmtgD0mczxAJjMbQFoO5m36dLOs+xmLpvM8QCYzG0B6DOZ4wEwmdsC0HYyb9OlnWd1SqprkQI3IAuOIwVuQBaQahptYexOjiMFbkAWHEcK3IAsINU02sLYnRxHCtyALDiOFLgBWUCqabSFsTs5jhS4AVlwHClwA7KAVNNoC2N3chwpcAOy4DhS4AZkAanGFgYAAGAzCiwAAACbUWABAADYjAILAADAZhRYAAAANqPAAgAAsBkFFgAAgM0yuMAa8n9CR/b19d1yyy2FhYVFRUX33ntv1Df29/evWbPG5/MVFBTU1dXJS/PxiCXpFOzdu/ev/uqvhg8fPmHChFtvvfXEiRNqPClI1HPPPXfVVVfl5eXJmrzjjjveffddNd7KmmRHsMVgUsCOYJdYWTgb4zAVih0BKZLBBZYSttssX758yZIlJwbccMMN//RP/xT5lqamplmzZr0xQAZ27NhhPh7mkkjBlVde+f3vf19KsQ8//PC+++6TI6MaTwoSNX/+/H379vn9/nfeeWflypULFy5U462sSXYEWwwmBewIdomVBYNJgcWOgBTxWoE1duxY2cHUsHTw5eXlkVPOnTtXdkU1LAPz5s0zHw9zSaQglBwTR44cqYZJwWBIJz1q1Cg1bLIm2RFSJ9EUhGJHsEtoFgyR65wdAanmwQLr5MmTali6eZ/PFznlmDFjTp06pYZlYmOaWONhLokUGD766KMHH3zQ+LhJCgajtbW1oqJCDZusSXaE1Ek0BQZ2BBuFZsFgUmCxIyBFvFZg3XzzzUuXLn1nwE033ZSTkxP5lqFDh545c0YNy0B2drb5eJhLIgXGG8W4ceOOHTumxpCCpB08eHDatGmvvvqqemllTbIj2CuJFCjsCDYKy4LB5CtCdgSkiNcKrPfee0869YKCgvHjxz/wwAPFxcWRb+Hzir2SSIHh9OnT99577+WXX65ekoLktLe3T5ky5cUXXzTGWFmT7Ag2Si4FBnYEW0RmwWBSYLEjIEW8VmCFevTRR6WnjxzPN+72SiIFoaRrsXLZCmJpbm6eOHHir3/969CRVtYkO4Jdkk5BKHaEQYqaBYPJYYodASnitQJr6dKlPT09fX19Tz311OTJk1955ZXIKbdv3x71tyGxxsNcEim4+eabjxw5cubMmf/+7/+uqakxLj0hBYl6+OGH5SN7V1dX2HiTNcmOYK/BpIAdwS6xsmAwuQaLHQEpksEF1pBzqZG7du2SDzEjR46cP3/+wYMHw6ZXA/39/ffcc49vwNq1a0PvehJ1PGJJOgXPPPPMRRddlJubKxXYypUr33vvPTWeFCRqSAS/33/WdE2yI9hrMClgR7BLrCxE/iv0LWqAHQEpksEFFgAAgDtRYAEAANiMAgsAAMBmFFgAAAA2y9QCK9EHrMYaH3b945gxY2ItMfIaSZMwwsR6pGus2QIAgIyWqf16og9YtfLYzm3bttXW1povN6wSivuEUSXWI11jzRYAAGQ0L/TrVh6wGveWcX/605+mTZt2/Phx82WZVEJRnzAaKfSRrlZmCwAAMo4X+nUrD1iN+9CDHTt23HbbbXGXZVIJRX3CaJiwR7pamS0AAMg4Gd+vW3zAqvljOz/++ONPf/rTR44cibu4WJVQrCeMhr13yLmPdI07WwAAkIkyu1+3/oBV8zNYzc3N11xzTeiYWNeeR62EIsOI9fawR7qazxYAAGSoDO7XE3rAqvk1WGVlZc8//7yVhUZWQuZPGI0U+khXk9kCAIDMlan9eqIPWDV5bOfevXsvu+wyi8sNq4TiPmFUifVI11izBQAAGS1T+/VEH7Bq8tjO8vLy1tbWRJdoHkaYWI90jTVbAACQ0ejRAQAAbEaBBQAAYDMKLAAAAJtRYAEAANiMAgsAAMBmFFgAAAA2o8ACAACwGQUWAACAzSiwAAAAbEaBBQAAYDMKLAAAAJtRYAEAANiMAgsAAMBm/w8D+yp2ZQSheAAAAABJRU5ErkJggg==)
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