Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit386-12-20021231_034500_20021231_082400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/31 |
Start Time | | 2002/12/31 03:45 |
End Time | | 2002/12/31 08:22 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 32.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 1.31 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 111.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit386-12-20021231_034500_20021231_082400-constBx0 |
Minimum Dst Value | | -33 |
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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxMzo0MzozNyBFU1QgMjAxOThT+SgAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODctMDEtMjAwMjEyMzFfMDgyNDAwXzIwMDIxMjMxXzEzMDgwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMiB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0xMi0zMVQwODoyNDowMC4wMDBaIiwgIm1heCI6IjIwMDItMTItMzFUMTM6MDY6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjYxNTA0OTQ5OTUsICJtYXgiOjMuMTgxMTQwNTAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfQ8ZjgYAAAAEZ0FNQQAAr8g3BYrpAAAhbklEQVR4nO3df3AUd/nAccqvhKD5XgBJQyElRbQ4NFqmdcAAhRT6Q2xLq1ORStFijVqYohaSChSjtqgjTNuZEiq2Tv+wQOrQTCvBcWrRsdYyIKPGhgItv9JKICCF0AZSSL7PZMed7Wd/3O5lP8fe7vv1R2Zvs/vZ3efZ3ee5y+WuTzcAAABC1edi7wAAAEDc0GABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhyvsHq0yfnDwEAsk/HzfPVV18dO3Zs2pF1bPpi1QJqENzk/JnhdnJz0gOABx03ycmTJ2/evPmibJoGK0SxPKjsy/kgBn2qtGXLlqlTp+bl5ZWUlMyfP7+1tdWY/9Zbb33hC19I9ZAJeWiublVYWOi4la6urqVLl8q6RUVFNTU18tC6AwaPndy6dWtlZWV+fr7s1YIFC44fP+49rNt8t3HcdsNtebco+Twc7510C7XHzou2trZRo0ZZtxs0OMmJvNvCboMHzVQokddBOV4zCJdccklxcfGcOXNaWlo8Vs9g/48cOfKd73xn9OjRAwYMkLVuuukmCbLjzigzZeJTn/qUdRMyPW7cOOsC5q927959xx13DBkyZODAgddcc81zzz1nzH/33XdlP8eOHTto0CDZ+m233fbSSy+l3Wf7zmS8gJ3cIc+ePdv7TWdAd0/gloXMthvK3nrfM0PckE+0ZYqcD0fQe8T06dPlCdbJkydPnz5dW1srZ6cxf9KkScuWLTvZ48EHH5SH9qHWrFnzwAMPOG5l3bp1EyZM2N9DJtavXx9oP2fOnNnY2Nje3n706NGqqqpZs2Z5D+s2320ct91wW94tSj4Px3sn3ULtvfNSxh555BHrdoMGx1EsI++2sNvgQTMVSuR1sDdYxsSFCxfeeeed73//+5MnT/ZYPej+v/3225dffrkM29zc/P7770t5e/HFF2+88UbHnVFmyoQU6RdeeMH81fPPPy9z7A3W3r17pTv8xS9+cejQIeldXnvttS9+8YvGr2Rb9957ryxw7ty5Y8eObdq06brrrvPeZ8edyXiBjFfJuQbLIwsXscFKe9sJa0M+0WApohsOOYnvv//+4h4yYT4rkhRKozNy5Eh5Vmo8/NnPfjZ8+HB5YnHffffJjcZcrPvDrz/ZNyHnZUFBgTEtE1J1jOlTp06Z800ycllZmdxSHfdWao+c6Ma0TFRUVCgL+D/zZDcGDx7sPWzazSnj+NkNx+W7PxwlP+OY3HYybajtOyMFbMyYMR0dHdbt9iY4jmITeT8LWwcPmqleRv6DDz5YsWJFaWlpKpWSimXM9Lje6+rqpI+Rp+kTJ05samoy5r/00ktXX321zJRfGZ2Q/WJXDv/dd98dNGiQTHzrW996+umnzflPPfWUzPHef8dI3nPPPdJ3Oh6j2yrWfauvr7duQo7uueees+/83Llzf/KTnzhuQg5HDsptB6wb9bhJdrsE3/vmGXQV+33bMa1up4HVnj17pLmRYyksLLz99tvb2tr8HI73RuUEkAFleQmU4/F6ZMHtfDMf+jlX5TnAj3/849GjRxcVFX39618/c+aMY9w8uN127BeFdcC0wXTbMftVbN+WnyI+ZcqUDRs2mDss/WtJSYmfszonRLfBkuTNmDGjpYc8837ooYeM+ZKb2267TZ6Pmg9lsbd7yMQPf/hDc74yoZATZdWqVWbL/6UvfUk2IXmVJ+vLly+Xh8rycmHI6eW2t3J2mqemPJWUc05ZwH9dbGhomDZtmvewaTenjONnNxyXV6LkZxyT206mDbV9Zz7/+c//5je/Ubbbm+A4ik3k0y6sDB40U72MvBQqOd4333zzv//97+LFi42ZHtf77NmzDxw4IPtcW1trdiRyF/7tb38rt2y5Iy9YsMDxeK1F4siRI9XV1cYLPNJhTJ06ddOmTTK9ceNGme7s7PTef8dIyj5IfXI8RrdVrPcl2auxY8f+9a9/lYfbtm2TaZljv3FJcTL/OKu4+eab77zzzldeeeX99993241uHzdJj+C7jRl0Fft92zGtbsNalZeXv/zyy3LIcmYuXLjwG9/4hv/DcdyonNsSyXd63HDDDY6H4JGFtA2Wn3N19erV119//f79++Wi+OpXv/q9733PMW4eHG8jjntlHTBtMN12zPEqVrblp4j//ve/HzdunJz5xq8kPj/96U/THmyuiG6DdcUVV7z++uvGtDzVGDNmjDEtuTl48KC5mDw0F/v3v/9tXUyZsDK6bHlKt2/fPmOO8Wq/MV8mlBNa0v+JT3yiubnZbW/79u1r3KOFTPTr18++xfTH3N29a9eusrIy867tNmzazSnjpN0Nx+XtUQp0OG476R1q+8784Q9/+OxnP2u8W8W63YyD4yhOkfde2D540Ez1MvIf//jHzRcPTB7Xu/RGxvR7771nvAQlRo0a9fjjjx8+fNjjePt8mDwFl1uE8avW1lYJe01Njfw034sW9Mzp37+/tbOxv1RgX0X57ZNPPnnrrbd29/yx75e//KV9AWMrHR0djjtw6tQpqWGf/vSn8/PzJYAPPPCA41P/tDdJj+C7HXvQVez3bce0ug3rRiIwcuRI/4fjttHdu3cb07Ki4yF4ZCFtg+XnXL3yyivfeOMNY1pOSLnczMWscXPjdttx3Cu3AR2D6bZjjlexsi2fRfzaa681nj/v3btXdkBS43msuSS6DZbcMswTWibkoTEtuVHeQu62mDKhkJNp5cqVU6ZMMR5Ko/3ggw+abzeRh9aF5WnuLbfcYp2j3EyDvoKlrG6QZ7GlpaXbt28352T2UoF9HLfdSLu8EiXvcRRuO+kdavvOXHXVVX/5y1/s2w3xFayYRT7twsrgQTMVNDjK2W69tE0e17vjEf3973+fPXv20KFDx44da/5dz21hY3+WLVtmfU+bPJ+WBcy/UXrsv5tLL73Uo5MeMGCA8hcuOS7p4ayLyQIlJSXPPvus/DT/yqaM4/HaiUluidI5zZ8/3+1dON6x9Rl8q6Cr2O/bym+9h7XasWOH5FHaZeOkMvvgoIdjXd7MlPI+BFNvXsHyc65Kt2d9MmA9T9L+y5THbcRxr6wDpg2m2445XsXKtnwW8YaGhk9+8pPnz5//yle+Ip2o41HkqOg2WD6fIVmfnMmEfTGPP11LmTH/aC2nkccbgz7zmc+88sorHnvb+/dgSQ83YsSInTt3+hnWY3OO43jshvfy3R+Okv/D8dhJj1A77kwfG+/xg74HK36R97OwdfCgmepl5KXMBHoFy+OI5Db9u9/9Thod46FysSsLy7GYL1r84x//kOfKmzdvvuyyy8xX8oKeOdLQ1NTUKDPNjY4bN+61116z/upvf/vb6NGjlcVWrVrVv39/888i9mo9d+7cRx55xHtPDNIHf/SjH7XPT3uTdAu+x80zg1ew/Dz08wqWzHzmmWdOnDghJVl+2iMW9Fzy8wqWRxasjZr56suRI0cCnavSYRw4cMBjcDdpbyPeF0XaYLrtmONVrGzLZyIkMvIsesmSJXJ1mG8QjIfoNljydNP886202MuXLzfm2y+SG264wXh7gUzY3wrwsY99zPqnvXnz5snDzs7Ow4cPL1y40HzCJ/dW2YTxZP0HP/iB9d66ZcuWz33uc957W1dX15v/Ily9erU8BTEv8rTDus13G8dtN9yWd4uSz8Px3km3UKfdeWW7QYPjKJaRd1vYbfCgmepl5B9++OFp06a99dZb1ndv+L/ejYk5c+bIvVtux1K0pMAYM5WL3bru8ePHV6xYMXHixO6et6DJDf3Pf/6zTL/wwgtXX3218Zc+j/13DPvBgwdl0+Z/EcrhvPjii+aSTzzxhGzlT3/606ke27ZtGz9+/M9//nOPAbudGqy9e/dKVV6zZo1E5uzZs9u3bzf/f+26667btGlTa2ur5FT2uaqq6uabb3Yc0/sm6RZ8JZ5WPvPlFkC3h27DWkk0nn/+eQmFnEISCnvEgp5Lsrz5Hqwbb7zR8RA8smAuLxdIbW2tnF2Si1tvvTXQufroo4/KPsscWexf//rXl7/8Ze94GvzcMz0uim4fwXTbMcerWNmW/5NE2kSZ+atf/co6M9C9LpqiewAdHR2LFi0y/gFBJsxXGu0XifEPMkVFRd/+9ret/6dgTMgpmEqlzIf19fXl5eUDBw4cNWqU3I+kZzfmy/Vz0003/V8PudjefPNNcxOTJ09uaGjw3lvpwaUBNz4xqLq62vFFXftLu27LiPb2do9h3ea7jeO2G27Lu0XJ5+F476RbqD123rr1tON75CIhkXdb2G3woJnqZeSlG5B2beTIkXLNSsUyZvq/3o2JDRs2yHPr/Px8aY9efvllY6ZysVsjMGTIEKl5xiHcfffdxhueDLIPxv+veF/Fjsdy6NChe+65R6pm//79hw4devvtt7/66qtmNH79619fc801RgBl4plnnkk7YB9bhevu+S9aGVn2SnJ37bXXmp/A9Mc//lHmSxglDmVlZffdd5/1hLGO6X2TdAu+Ek8rn/lyO163h27DWskzXkn9gAEDpLd4/PHH7RELei7JAt/85jclOBKiH/3oRzKy4yG4ZcEcp6mpSTp4478F165dG+hcvXDhghzLlVdemZeXJ325WXG8r3SP247JflEECqbbjjlexcq2/J8kEsyxY8d+8MEHytF5HHtOyPkDAAB4iEGhypp//vOf0qpe7L24yM6fPy9PGLK5xVtuueXZZ5/N5hazgwsPAOKMBiutxYsXHzly5ODBg9dff/13v/vdi707F9mOHTvM/xbU7cKFC08++eRVV11lflJDnHDhobfsL1NH8IaeEzsZVCwPCqHjrEjr0UcfHTly5PDhw++99944fUxAZj7ykY+sXbs2O9uSk3P06NHS0mVnc1nGhQcAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACFlSGizHf2gHAABhudilPlqSEg4SDwCAPtRZRVLCQeIBANCHOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVcQ5HPx3AwAA2UGdVSQlHCQeAAB9qLOKpISDxAMAoA91VhGVcGzZsmXq1Kl5eXklJSXz589vbW21L9PV1bV06dJUKlVUVFRTUyMP/Y9P4gEA0Ic6q4hKOKZPn7558+aTJ0+ePn26tra2srLSvsy6desmTJiwv4dMrF+/3v/4JB4AAH2os4oohqO9vb2goMA+f9KkSY2Njca0TFRUVPgfk8QDAKAPdVYRuXCcOXNm1apVs2bNsv+qsLCwra3NmD527FgqlfI/LIkHAEAf6qwiWuEwPk9h+PDh+/bts/+2b9++nZ2dxrRM9OvXz3F1voQSAIAso84qIheOU6dOrVy5csqUKfZf8QoWAADRRJ1VRDEc0mMNHjzYPp/3YAEAEE3UWUVUwjFv3rzm5ubOzs7Dhw8vXLjQ+h4sM2d1dXX8FyEAABFEnVVEJRz19fXl5eUDBw4cNWpUVVXViRMnzF+ZOevq6lqyZEmqR3V1NZ+DBQBARFBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKOIeDz8ECACA7qLOKpISDxAMAoA91VpGUcJB4AAD0oc4qkhIOEg8AgD7UWUVSwkHiAQDQhzqrSEo4SDwAAPpQZxVJCQeJBwBAH+qsIs7h4GMaAADIDuqsIinhIPEAAOhDnVUkJRwkHgAAfaiziqSEg8QDAKAPdVaRlHCQeAAA9KHOKpISDhIPAIA+1FlFUsJB4gEA0Ic6q4hzOPiYBgAAsoM6q0hKOEg8AAD6UGcVSQkHiQcAQB/qrCIp4SDxAADoQ51VJCUcJB4AAH2os4qkhIPEAwCgD3VWkZRwkHgAAPShziriHA4+pgEAgOygziqSEg4SDwCAPtRZRVLCQeIBANCHOquISji2bt1aWVmZn59fUlKyYMGC48eP25fpzZ/8SDwAAPpQZxVRCcfMmTMbGxvb29uPHj1aVVU1a9Ys+zK9SR6JBwBAH+qsIorhOH369ODBg+3zabAAAIgm6qwiiuFoaGiYNm2afb4kb9iwYQUFBePHj3/sscfOnz/vf0wSDwCAPtRZReTCsWvXrrKysj179rgtcPbs2R07dlRUVCxevFj5VR9PmnccAIDkos4qohWObdu2lZaWbt++Pe2Shw4dSqVS/kcm8QAA6EOdVUQoHBs3bhwxYsTOnTv9LNzS0lJcXOx/cBIPAIA+1FlFVMKxevXq0tLS3bt3239l5mzOnDlNTU3nzp1rbm6eMWPGokWL/I9P4gEA0Ic6q4hKOOxvmWpvbzd/ZUzU19eXl5fn5eWNGTNm2bJlHR0dgcYPf6cBAEAP6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKOIeDj2kAACA7qLOKpISDxAMAoA91VpGUcJB4AAD0oc4qkhIOEg8AgD7UWUVSwkHiAQDQhzqrSEo4SDwAAPpQZxVJCQeJBwBAH+qsIs7h4GMaAADIDuqsIinhIPEAAOhDnVUkJRwkHgAAfaiziqSEg8QDAKAPdVaRlHCQeAAA9KHOKpISDhIPAIA+1FlFUsJB4gEA0Ic6q4hzOPiYBgAAsoM6q0hKOEg8AAD6UGcVSQkHiQcAQB/qrCIp4SDxAADoQ51VJCUcJB4AAH2os4qkhIPEAwCgD3VWkZRwkHgAAPShziqSEg4SDwCAPtRZRZzDwedgAQCQHdRZRVLCQeIBANCHOqtISjhIPAAA+lBnFVEJx9atWysrK/Pz80tKShYsWHD8+HH7Ml1dXUuXLk2lUkVFRTU1NfLQ//gkHgAAfaiziqiEY+bMmY2Nje3t7UePHq2qqpo1a5Z9mXXr1k2YMGF/D5lYv369//FJPAAA+lBnFeGHo6OjY/ny5WPGjMnPz5efDz300NmzZwONcPr06cGDB9vnT5o0SZowY1omKioq/I9J4gEA0Ic6qwg/HIsWLaqsrGxqapJOS35Onz79/vvvDzRCQ0PDtGnT7PMLCwvb2tqM6WPHjqVSKf9jkngAAPShzirCD0dxcXFLS4v5UKZljv/Vd+3aVVZWtmfPHvuv+vbt29nZaUzLRL9+/ZQF+ngKfigAAMAX6qwiWg3Wtm3bSktLt2/f7vhbXsECACCaqLMKLX8inDFjxuuvv97R0SE/Zdrnnwg3btw4YsSInTt3ui3Ae7AAAIgm6qxCy5vcly1bdsUVV+Tn58vPFStW+HmT++rVq0tLS3fv3u2wi//LWV1dHf9FCABABFFnFVEJh/0tU+3t7eavjImurq4lS5akelRXV/M5WAAARAR1VpGUcJB4AAD0oc4qwg9HU1NTRUXFoEGDIvUffFHYBwAA4oo6qwg/HBMnTqytrX3vvfdCHzkoPqYBAIDsoM4qwg9Hfn7+mTNnQh+2l0g8AAD6UGcV4Yfj8ssvP3DgQOjD9hKJBwBAH+qsIvxwrF27dvbs2UeOHAl95N4g8QAA6EOdVYQTDu/vqIlC0KOwDwAAxBV1VpGUcJB4AAD0oc4qwg/HJZdcEvqYvUfiAQDQhzqrCD8cl1122X/+85/Qh81A1P5MCQBAXFFnFeGHY82aNXfcccfBgwcDfZWNbiQeAAB9qLOK8MPBm9wBAEga6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKpISDxAMAoA91VpGUcJB4AAD0oc4q4hyOqL3RHgCAuKLOKpISDhIPAIA+1FlFUsJB4gEA0Ic6q0hKOEg8AAD6UGcVSQkHiQcAQB/qrCIp4SDxAADoQ51VJCUcJB4AAH2os4o4h4OPaQAAIDuos4qkhIPEAwCgD3VWkZRwkHgAAPShzioiFI60f8vrzZ/8SDwAAPpQZxWRC4d3g6VjWAAA0EvUWUXkwkGDBQBAzqHOKiIXDu8Ga9iwYQUFBePHj3/sscfOnz8fyrAAAKCXqLOKyIUjbYbOnj27Y8eOioqKxYsX29f1oG2XAQBIOuqsInLh8JmhQ4cOpVKp0IcFAAAZoM4qIhcOnxlqaWkpLi4OfVgAAJAB6qwicuGwZ8icM2fOnKampnPnzjU3N8+YMWPRokW9GRYAAISFOquIUDjc3jJlTtfX15eXl+fl5Y0ZM2bZsmUdHR2BBg95dwEAwP9QZxVJCQeJBwBAH+qsIinhIPEAAOhDnVUkJRwkHgAAfaizijiHg8/BAgAgO6iziqSEg8QDAKAPdVaRlHCQeAAA9KHOKpISDhIPAIA+1FlFUsJB4gEA0Ic6q0hKOEg8AAD6UGcVSQkHiQcAQB/qrCLO4eBjGgAAyA7qrCIp4SDxAADoQ51VJCUcJB4AAH2os4qkhIPEAwCgD3VWkZRwkHgAAPShziqSEg4SDwCAPtRZRVLCQeIBANCHOquIczj4mAYAALKDOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKpISDxAMAoA91VpGUcJB4AAD0oc4q4hwOPqYBAIDsoM4qkhIOEg8AgD7UWUVSwkHiAQDQhzqriFA40v4tr6ura+nSpalUqqioqKamRh4GGjyMfQQAAA6os4rIhcMjQ+vWrZswYcL+HjKxfv36UIYFAAC9RJ1VRC4cHhmaNGlSY2OjMS0TFRUVoQwLAAB6iTqriFw4PDJUWFjY1tZmTB87diyVSoUyLAAA6CXqrCJy4fDIUN++fTs7O41pmejXr599XQ8adxoAgGSjzioiFw5ewQIAIOdQZxWRCwfvwQIAIOdQZxWRC4c9Q+acuro6/osQAIAIos4qIhQOt7dMmdNdXV1LlixJ9aiuruZzsAAAiAjqrCIp4SDxAADoQ51VJCUcJB4AAH2os4o4h4OPaQAAIDuos4qkhIPEAwCgD3VWkZRwkHgAAPShziqSEg4SDwCAPtRZRVLCQeIBANCHOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwizuHgYxoAAMgO6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKpISDxAMAoA91VpGUcJB4AAD0oc4qkhIOEg8AgD7UWUVSwkHiAQDQhzqriHM4+JgGAACygzqrSEo4SDwAAPpQZxVJCQeJBwBAH+qsIinhIPEAAOhDnVUkJRwkHgAAfaiziqSEg8QDAKAPdVaRlHCQeAAA9KHOKpISjj4AAECni13qo4VwqLJwimTnLIzNVjiQqG0lNgeSna1wIFHbSmwOJDtboW3KGIFTxeZ8jc1WOJCobSU2B5KdrXAgUdtKbA4kO1uhwcoYgVPF5nyNzVY4kKhtJTYHkp2tcCBR20psDiQ7W6HByhiBU8XmfI3NVjiQqG0lNgeSna1wIFHbSmwOJDtbocHKGIGLLa6KqCEjEURSooaMRA0ZyRiBiy2uiqghIxFEUqKGjEQNGckYgYstroqoISMRRFKihoxEDRnJGIGLLa6KqCEjEURSooaMRA0ZyRiBiy2uiqghIxFEUqKGjEQNGckYgQMAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WLmhq6tr6dKlqVSqqKiopqZGHhrzT548effddw8ZMmTYsGErV64MtK7bfPjU53+sM/1ElYzo45gUj/kmkqKJY+S3bt1aWVmZn59fUlKyYMGC48eP21ckI5o4ZmTLli1Tp07Ny8uTjMyfP7+1tdW+IhkJigYrN6xbt27ChAn7e8jE+vXrjflf+9rX5syZ09rjzjvvfPrpp/2v6zYfgSj3KT9RJSO6uTVSHg0WSdFKifzMmTMbGxvb29uPHj1aVVU1a9Ys+ypkRCslI9OnT9+8ebM8Yz99+nRtba20v/ZVyEhQNFi5YdKkSXI/MqZloqKiwpgeOnSo3KGMaemxJk+ebK5iXj9u67rNRyDKfcojqmQka/w3WCQlOzxaW6nogwcPti9JRrTyyIg0vgUFBfYlyUhQNFi5obCwsK2tzZg+duxYKpUypqXBkofGtHRa5vxuy1Xhtq7bfASi3Kc8okpGsiaDBoukaOVRzhsaGqZNm2Zfkoxo5ZaRM2fOrFq1yvqaIhnJGA1Wbujbt29nZ6cxLRP9+vUzpufNm3fXXXcd7TF37tz+/fv7X9dtPgJR7lN+okpGdMvgT4QkRSu3yO/atausrGzPnj32X5ERrRwzYrw3a/jw4fv27bP/lowERYOVG9yeIpw4cUL6qqKiouLi4ocffvjSSy/1vy5PO0Lh/xWstMuQkbBk0GCRFK0cI79t27bS0tLt27c7rkJGtHK7Fk6dOrVy5copU6bYf0VGgqLByg1+/sj9xBNPSLPlf13+cB4K/+/BSrsMGQlLBg0WSdHKHvmNGzeOGDFi586dbquQEa08rgXpsazvijORkaBosHJDXV2d479p3HXXXS0tLSdPntywYcOoUaPeeOMNcxXz+nFb120+AlHuUx5RJSNZk8F7sEiKVkrkV69eXVpaunv3bo8lyYhWSkbmzZvX3Nzc2dl5+PDhhQsXOr4Hi4wERYOVG7q6upYsWZLqUV1dbX7QyFNPPSXPAgsKCmbOnLlr1y7rKuZV4bau23z41OfDjJkeUSUjWeCYFO/5xgRJ0cQx8n1s2tvbzV8ZE2REE8eM1NfXl5eXDxw4UJ6oV1VVnThxwrq8MUFGgqLBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGqzc4PbdqEG/fdPPd6wa7G8H9r+6x/eGOg4LAEDMUOdyg9t3owb99k0/37FqpXRCPldP+72hNFgAgHijzuUe63ej9uaT35TvWHXk0Qn5Wb3b9r2haYcFACAGqHO5x/rdqL357gLlO1YdeXRCfla3f29o2mEBAIgB6lyOUb4bNeNv3/T4jlUrt07Iz+rGe60cvzeUBgsAEG/UuVxi/27UzF7Bso/j9t5zx07I/+pu3xtKgwUAiDfqXM5w/G7UDN6DlfY7Vq3snVCg1btdvjeUBgsAEG/Uudzg9t2oQb990+M7Vh318f0VrVYe3xvqOCwAADFDncsNbt+NGvTbNz2+Y9V7i4FW9/7eUPuwAADEDBUOAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIft/HPyYB2aKp9sAAAAASUVORK5CYII=)
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