Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-01-20020628_165100_20020628_213900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/28 |
Start Time | | 2002/06/28 16:51 |
End Time | | 2002/06/28 21:37 |
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 | | -31.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-01-20020628_165100_20020628_213900-constBx0 |
Minimum Dst Value | | 15 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAVHVlIE1hciAxOSAwNzozODo1NSBFRFQgMjAxOQQkKiQAAAHLdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMDktMDItMjAwMjA2MjhfMjE0MDAwXzIwMDIwNjI5XzAyMjgwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIElNUC04IHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTA2LTI4VDIxOjQwOjAwLjAwMFoiLCAibWF4IjoiMjAwMi0wNi0yOVQwMjoyNjowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcyMiwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjUuMjY1MDk5OTk5NSwgIm1heCI6MTMuMDUwOTAwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfQzuhSsAAAAEZ0FNQQAAr8g3BYrpAAAioklEQVR4nO3de3AVZ/nAcVpugWhMQiQkJVyKaHEsWqZ1QAIFSihIL7RWDJeEUKxRS6dVy61cIipFHWE6HShUDE5nsFzq0Ewr4Di16FhrmWIGxXIrlGvlToDQQtMSfs9k57funHN2z+7JnvBmn+/nj86ezd6e99nd5zl7Dj1trgEAACBUba73AQAAAEQNDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhExpg9WmjdLAAaA50nHzfPPNN/v27Zt0y+nYNbUA6aP03HK7qLjYAMBDOm6SxcXFGzduvC675p5vYRzSQemYBn2rtGnTpqFDh3bs2LGgoGDKlCknTpyw5jc2Ns6cOTM7OzsnJ2f27Nny0ppfV1dXXl6em5ubl5dXVVXlthe31bds2TJixIiMjAzZ3bRp086cOZNwdbfF3DYbdHduy4sdO3aMGjUqMzOzsLCwurraezsHDhy45557spvIhLz0GHmP2Nv8v/i1Tp8+XVRU5PxT0EHwCLb1jrzP8zC1gwya7lBGPh1izij7NLvhhhvy8/NLS0uPHj3qsXoKx3/8+PHvf//7vXr1at++vaw1evRoucMkPJiYmTLxxS9+0bkLme7Xr59zAftPu3fvfvDBByX7HTp0uP3221966SVr/vnz5+U4+/bt26lTJ9n7/fff/9prryU95viDSXmBeFlZWVeuXGn+rlOQ1sYiUOIscsrJNet2z/dzL23JVom2zJvS0Ql6jxg+fLi8wZJydfHixYULF0pdseavXLlywIAB7zWRiVWrVlnzKyoq5L58osn48eNXr16dcC9uq5eUlGzevLm+vv7kyZOVlZVjx45NuLrbYm6bDbo7t+X37t0r3cyaNWvOnTt3+PDhCRMmeG9n0KBBc+fOrWsyZ84ceekx8kljT5g7KVdPP/20809BB8FtfqseeZ/nYWoHGTTdoYx8OsQ3WNbE1atX33///R/96EfFxcUeqwc9/mPHjvXs2VM2u2vXrg8//FBK6auvvnr33XcnPJiYmTIhrdIrr7xi/+nll1+WOfEN1r59+6RU/+pXv5LzRHqXt9566xvf+Ib1J9nXI488Igt89NFHp06dWr9+/Z133ul9zAkPJuUFUl6lVTdYPhMnp8c3v/nNiRMnJtygn3spDZY5ojY6cit5/PHH85vIhP2uSM6DpUuXdu/eXd6VWi9/8YtfdO3aVd7ePfroo3KjsRe75ngzkfDskYrSuXNna1rOb6kx1rRMDB482Jru0qWLVB1rWmqb2w3abXUnaekyMzOTBu5czG2zQXfntrzU9WXLlvk/HhkueWlNX7hwwR69QEHZ4pMihapPnz6XL192/inoIPgZnKQHadrI+zwPUztIt/lu6W7myH/88cfz58/v0aOHvHeXvsGa6XG9r1ixQvqYjIyMgQMH7ty505r/2muv3XbbbTJT/mR1QvEXe8wJdv78+U6dOsnEd7/7XWeHWl1dLXO8jz/hDeThhx+W0pgwRrdVnMe2YcMG5y4kupdeein+4KVC/+xnP0u4CwlHgnI7AOdOPW6S11wG3/vmGXSV+Pt2wrS6nQZO8uZEWkyJJSsr64EHHjh9+rSfcLx3KieAbFCWl4EKK3FCrlm5cuO3ds3HvTTh+ewcw6TjIO8rfvrTn/bq1SsnJ2fq1KmXLl2y5sdfgPH78lN/hwwZsnbtWvuA5Q1AQUGBnxOyNYpagyVnwMiRI482GT58+IIFC6z5kuD7779f3o/aL2WxY01k4sc//rE9P2Yihpxtixcvtt+syzlqn6DyXlDOPGtaLg95aU3L1WLPj+G2ulNNTc2wYcOSBu5czG2zQXfntrxcPDLOclXIVVpeXi7vpby389BDD0ki5BKSJefNmycvk4YTvxFbfGq+/vWv/+53v4v5U9BB8DM4SQ/StJH3eR6mdpBu893S3cyRl3ZBdrF///5z58498cQT1kyP633cuHEHDx6UC3bhwoV2YZOh+/3vfy/3fbmtT5s2zV7YuSNnpTl+/PisWbOsBzzSYQwdOnT9+vUyvW7dOpluaGjwPv6EtxE5BilyCWN0W8V5X5Kj6tu379///nd5uXXrVpmWOfE3LjlV3D6LHzNmzPjx4994440PP/zQ7TCu+bhJegy+2zaDrhJ/306YVrfNOvXv3//111+XkOXMnD59+re//W3/4STcqZzbMpLvNxk1alRYibvm2WD5uZfGn8/OMUw6DkuWLLnrrrvee+89udAmT578wx/+0Jqf8AKM2Zef+vvHP/6xX79+Erv1J7kMf/7znycMNgKi1mDdfPPN77zzjjUtbzX69OljTUuCDx06ZC8mL+3F/vOf/zgXi5lwslp1eUv37rvvWnNuvPFG6yYrZKJt27bWdFlZ2aRJk042kbeS7dq1S3i0bqvbamtre/fu7XE7TriY22aD7s5teZmQC8+KrrS0tKKiwns71mci1ujJhH2pBwrKFpOaP/3pT1/96letLzc4/xR0EJIOjp+DNG3kfZ6HqR2k23y3dDdz5D/3uc/ZDw9sHte79EbW9AcffGA9ghJFRUXPPvvskSNHnBuJL0hO8j5ebhHWn06cOCGRzp49W/5rfxEz6JkjWXB2NvHPG+JXifnr888/f999911r+rDv17/+dfwC1l4uX76c8AAuXLgghfDLX/5yRkaGDOCTTz6Z8PlB0pukx+C7xR50lfj7dsK0um3WjYxA9+7d/YfjttPdu3db07JiWImT66W0ScIj93MvjT+fnWOYdBxuueWWPXv2WNNyksterOmEF2DMvnzW3zvuuMN6S7xv3z45ABnVhIcXAVFrsOSWYd9WZEJeWtOSYOcXDOWl22IxEzHkjKyqqhoyZIj10u3N69mzZ6Weya1Z3kcuWrSoW7du9madN1Pv9+7yLqdHjx7btm1zHrZzdbfFUntUEGg7zucieXl53tuR9zRz5syxvzcgL68lE78R5yA4X956661/+9vf4v/UAk+wzB95t/MwoaAH6TbfLd1BByfmbHde2jaP6925mP3yn//857hx47p06dK3b1/7cz23ha3jmTt3rv2dSyFvymUB+zPKpOMWT7Lg8bahffv2MZ9wSVzSwzkXkwUKCgpefPFF+a/9KVvMdjyeYNnkliid05QpUxJ+yzPpTdLn4DsFXSX+vh3zV+/NOr399tuSR7kWrJPK7oODhuNc3s5UzPcT4hf2kzj7Dby8KbIv85irwM+9NP6AnWOYdBykg3S+wbDPvYQXYMy+fNbfmpqaL3zhC5988smECRPkDU98CJERtQbL5zsk55szmYhfzPq4OiHpsZJ+V8Zp+fLlHt9YdFt93bp1hYWF27dvdzsMj8VS+LJLoO0UFxc7v9njLPMJtyNXbKDvYHnHHp/KGKkNQtDvYLWKkXfyOA9TO0i3+W7pbubIS0sU6AmWc7GYl3Kv/8Mf/mC3mzEXe8zCEov90GLHjh3yhnvjxo033XST/Rg76JkjDc3s2bNjZto77dev31tvveX80z/+8Y9evXrFLLZ48eJ27drZn63EN1iS66efftr7SCxSqj/96U/Hz096k3QbfI+bZwpPsPy89PMES2a+8MIL8pZD6rr8N37Egp5LKTzBuuYjcd783Eu9z+ek4yCtz8GDB+M3m/ACjNmXzzGUC1DeGM+YMUNObPu7fZEUtQZL3m7anwFLnz5v3jxrfvxFMmrUKOvrBTIR/1WAz372s7t27bKXLysrk5cNDQ1HjhyZPn26/YZvxYoVCf8BkbwFkQOQO9fatWuLiorsJ64x3FZfsmRJjx497KvXjdtibpsNuju35aurq+0PnkpLS6dOneq9HalAkgjrXddTTz3lXYGSxu5xJ3L+KegguM0PdJCmjbzP8zC1gwya7maO/KJFi4YNG3bgwAHnV0D8X+/WhAyaFAC5p0uDJa2hNTPmYneue+bMmfnz5w8cOPBa0/cvpSr89a9/lelXXnnltttusz7p8zj+hOfqoUOHZNf2vyKUcF599VV7SemDZS9/+ctfLjTZunXrl770pV/+8pceG7yWqE7v27dPOsilS5fKyFy5cmXbtm32vyK88847169fLw263NDkmCsrK8eMGZNwm943SbfBjxlPJ5/5chtAt5dum3WS0Xj55ZdlKOQUkqGIH7Gg55Isb38H6+677/bZYAVdIIafe6nH+XzNxzg888wzMg6yBblM/v3vf3/rW9+y5ie8AGP25T+/8t5MZv7mN79JOBqREbV4Ll++/Nhjj1n/ikEm7MeV8ReJ9Q9kcnJyvve97zn/sYM1IcUjOzvbfrlhw4b+/ft36NBBqpTcj6Txt+ZLJy5tuPV/JZk1a5b9FFQKodxD5e1FSUlJbW2t29G6rR7/VKa+vj5+dbfF3DYbdHduy19r+qAkLy9PRk9aT/ur1m7bkXv96NGjP9NEbkn79+/3yKBH7DHzE66bdGyDzg90kKaNvM/zMLWDDJruZo68dANSUbp37y6xS99gzfR/vVsT0mjKG/SMjAxpj15//XVrZszF7owoNzf3vvvus0IoLy+3vjdjkWOwGlyP4094ll5r+pdTDz/8sKSmXbt2Xbp0eeCBB9588017NH7729/efvvt1gDKxAsvvJB0g20S1WmpfLJlOSq5cd1xxx32/wfrz3/+s8yXYZRx6N2796OPPmrf0GK26X2TdBv8mPF08pkvt3jdXrpt1mnTpk2S+vbt28u7gmeffTZ+xIKeS7LAd77zHRkcGaKf/OQnsmWP4w+UOA9+7qXx57Pzr0nH4erVqzL/lltu6dixo/T6NTU11vyEF2DMvvznV87Gvn37fvzxxwlHIzKiFg8AoPmiV+3S51//+pe0qtf7KFL3ySefeP8LmNDde++9L774Ykvu8brgEgIAxKLBSuqJJ544fvz4oUOH7rrrrh/84AfX+3BS9/bbb9v/WjDdrl69+vzzz9966632/6khwriEcH3Ef8Bk4A29VRxkUJEMCqHjrEjqmWee6d69e9euXR955JFW/f8a+NSnPvXcc8+1zL7kvOrVq5e0dC2zu+uLSwgAACBkNFgAAAAho8ECAAAIGQ0WAABAyAxqsBJ+33bTpk1Dhw7t2LFjQUHBlClT7N//AgAAMJZBDZYlpsEaPnz4xo0b6+rqLl68uHDhQuePggEAAJjJ9AbLqb6+PunP2HlsFgAAXHepNgitjHFxug39pUuXFi9enPBX35uzWQAA0GL0lGPj4kw49FbP27VrV/sX7N3WpWUGAMBYesqxcXG6Df2FCxeqqqqGDBkS7mYBAECL0VOOjYvTY+ilx8rMzAy0KZ5gAQBgDj3l2Lg4Y4a+rKxs165dDQ0NR44cmT59uvM7WIGSpCejAAAYS085NijOhA+cNmzY0L9//w4dOhQVFVVWVp49e9a5fAobBAAA14uecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHUY6TjwgBADCKnnKsJk41GQUAwFh6ynGU4+QJFgAARtFTjtXEqSajAAAYS085jnKcPMECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHEc5Tj4iBADAKHrKsZo41WQUAABj6SnHUY6TJ1gAABhFTzlWE6eajAIAYCw95TjKcfIECwAAo+gpxwbFmbAT2rJly4gRIzIyMgoKCqZNm3bmzJmUNx7GMQIAgNTpKcfGxRkz9CUlJZs3b66vrz958mRlZeXYsWND2SwAAGh5esqxcXF6DP3FixczMzMDbYqPCAEAMIeecmxcnB5DX1NTM2zYsNA3CwAAWoaecmxcnG5DX1tb27t3771793qv6yE9xwsAAPzSU46NizPh0G/durVHjx7btm0Ld7MAAKAl6SnHxsUZP/Tr1q0rLCzcvn17uJsFAAAtTE85Ni7OmKFfsmRJjx49du/enXTJhAvwESEAAObQU44NijNhPxT/Var6+nr7T4E2Hv4RAwCAIPSU4yjHyRMsAACMoqccq4lTTUYBADCWnnIc5Th5ggUAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085jnKcfEQIAIBR9JRjNXGqySgAAMbSU46jHCdPsAAAMIqecqwmTjUZBQDAWHrKcZTj5AkWAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjKcfIRIQAARtFTjtXEqSajAAAYS085jnKcPMECAMAoesqxQXG6dUKhdEh6MgoAgLH0lGPj4nQb+hRSwhMsAACMoqccGxdniA1WiKsDAIDm01OOjYuTBgsAgKjSU46Ni7M5DVYbT2EfKQAACEZPOTYuTp5gAQAQVXrKsXFx8iV3AACiSk85Ni5O/w1WoCTpySgAAMbSU44NitPtgZPH/NQ2CAAArgs95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOoxwnHxECAGAUPeVYTZxqMgoAgLH0lOMox8kTLAAAjKKnHKuJU01GAQAwlp5yHOU4eYIFAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOY5ynHxECACAUfSUYzVxqskoAADG0lOOoxwnT7AAADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpxwbFmfCzvMbGxpkzZ2ZnZ+fk5MyePVteprBBPiIEAMAEesqxcXHGDP3KlSsHDBjwXhOZWLVqVSibBQAALU9POTYuzpihHzRo0ObNm61pmRg8eHCgTfEECwAAc+gpx8bFGTP0WVlZp0+ftqZPnTqVnZ0dymYBAEDL01OOjYszZuhvvPHGhoYGa1om2rZt672uhzQeNAAA8EFPOTYuTp5gAQAQVXrKsXFxhvgdLI/NAgCAlqenHBsXZ8zQr1ixwu1fESZNEh8RAgBgFD3l2KA4E/ZDjY2NM2bMyG4ya9Ys5/8HK1CS9GQUAABj6SnHUY6TJ1gAABhFTzlWE6eajAIAYCw95TjKcfIECwAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnIc5Tj5iBAAAKPoKcfhx3n58uV58+b16dMnIyND/rtgwYIrV66Evpeg9GQUAABj6SnH4cf52GOPjRgxYufOndJpyX+HDx/++OOPh74XP3iCBQCAUfSU4/DjzM/PP3r0qP1SpmVO6HsJSk9GAQAwlp5yHOUGiydYAAAYRU85TstHhCNHjnznnXcuX74s/5Xp6/URoZOejAIAYCw95TgtX3KfO3fuzTffnJGRIf+dP38+X3IHAADXNJXjKMfJR4QAABhFTzlWE6eajAIAYCw95Tj8OHfu3Dl48OBOnTpd96dHPMECAMAoespx+HEOHDhw4cKFH3zwQShbq6urKy8vz83NzcvLq6qqSnk7ejIKAICx9JTj8OPMyMi4dOlSWFurqKgoLS090WT8+PGrV6/2vy5PsAAAMIqechx+nD179jx48GBYW+vSpcvJkyetaemxiouLU9uOnowCAGAsPeU4/Dife+65cePGHT9+PJStSYN16tQpa1o6rezs7NS2oyejAAAYS085DifONsmkvOWysrJJkyadbDJx4sR27dqlfBgpHwMAAAiFnnJsepxnz56VvionJyc/P3/RokXdunVLbTt6MgoAgLH0lOPw47zhhhtC36Zl+fLl0mz5X54nWAAAGEVPOQ4/zptuuum///1vWFubNGnS0aNH6+rq1q5dW1RUtGfPHvtPgZKkJ6MAABhLTzkOP86lS5c++OCDhw4damxsbP7WqqurCwsLO3fuXFJSUltb6/xT0iTxBAsAAKPoKcfhx2nmF8xNOAYAAJTTU47VxKkmowAAGEtPOY5ynKY9RQMAQDk95VhNnGoyCgCAsfSU4yjHyRMsAACMoqccq4lTTUYBADCWnnIc5Th5ggUAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085jnKcfEQIAIBR9JRjNXGqySgAAMbSU46jHCdPsAAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHpsd54MCBe+65J7uJTMhL/+vyESEAAEbRU45Nj3PQoEFz586tazJnzhx5mdp29GQUAABj6SnHpsfZuXPnixcvWtMXLlyQl/7X5QkWAABG0VOOTY/zoYceWrBgwfnz5+vq6ubNmycvU9uOnowCAGAsPeXY9DiPHTvWs2dP6xGUTLz//vseC7fx1GLHDAAAEtJTjk2Pc+TIkXPmzLG/gyUvU9uOnowCAGAsPeXY9Dg7deqU8newnPRkFAAAY+kpx6bHOWjQoHnz5llPsJ566qnBgwfbf0qaJD4iBADAKHrKselx7tu3b/To0Z9pMmbMmP3799t/CpQkPRkFAMBYespxlOPkCRYAAEbRU47VxKkmowAAGEtPOY5ynDzBAgDAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxxHOU4+IgQAwCh6yrGaONVkFAAAY+kpx1GOkydYAAAYRU85VhOnmowCAGAsPeU4ynHyBAsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOU4+YgQAACj6CnHauJUk1EAAIylpxxHOU6eYAEAYBQ95dj0OGOapKysrJS3E+6BAQCAoPSU49YU59KlS5988kn/y/MECwAAo+gpx60mzo8++qh3797Hjh1LbXU9GQUAwFh6ynGriXPVqlVTp05NeXU9GQUAwFh6ynHriPPq1auf//znd+3a5b1YG08tc6gAAMCNnnLcOuJct27dvffe25wt6MkoAADG0lOOW0ecX/nKV954442ga/EECwAAo+gpx60gzk2bNn3ta1+Lnx8oSXoyCgCAsfSU41YQZ3FxcU1NTfz8pEniCRYAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOMpx8hEhAABG0VOO1cSpJqMAABhLTzmOcpw8wQIAwCh6yrGaONVkFAAAY+kpx1GOkydYAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lOMox8lHhAAAGEVPOVYTp5qMAgBgLD3lOMpx8gQLAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaectwK4tyxY8eoUaMyMzMLCwurq6v9r8hHhAAAGEVPOTY9zr179xYVFa1Zs+bcuXOHDx+eMGFCatvRk1EAAIylpxybHqd0VMuWLUttXZ5gAQBgFD3l2PQ48/Pz58+fX1BQkJubW15eXldXl9p29GQUAABj6SnHpsfZtm3byZMnn2xSWlpaUVHhsXAbTy12zAAAICE95dj0OLOysk6dOmVNS4+Vl5eX2nb0ZBQAAGPpKcemx1lcXCx9lTV94sQJGiwAAFovPeXY9Dirq6snTZpkf0Q4depU+09Jk8RHhAAAGEVPOW4FcS5YsCAvLy8nJ6esrMz5JfdASdKTUQAAjKWnHEc5Tp5gAQBgFD3lWE2cajIKAICx9JTjKMfJEywAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcZTj5CNCAACMoqccq4lTTUYBADCWnnIc5Th5ggUAgFH0lGM1carJKAAAxtJTjqMcJ0+wAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdRjpOPCAEAMIqecqwmTgAAYIDr3RG0EC1x+tEyWW+BvUQmkCjtJTKBsBcDd8FeDNwFewFD9j+ROU0jE0iU9hKZQNiLgbtgLwbugr2AIfufyJymkQkkSnuJTCDsxcBdsBcDd8FewJD9T2RO08gEEqW9RCYQ9mLgLtiLgbtgL2DIWhqnqYFIioFIioFIioFIirFITEvjYjAQSTEQSTEQSTEQSTEWiWlpXAwGIikGIikGIikGIinGIjEtjYvBQCTFQCTFQCTFQCTFWCSmpXExGIikGIikGIikGIikGIvEAAAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhqsZtmyZcuIESMyMjIKCgqmTZt25swZ7/lOjY2NM2fOzM7OzsnJmT17trz0ng+f3AZ/06ZNQ4cO7dixo8yfMmXKiRMn4tclKWnSnIElKWniMYBt/l/QdUlKM7kNIDWlNaLBapaSkpLNmzfX19efPHmysrJy7Nix3vOdVq5cOWDAgPeayMSqVau858Mnt8EfPnz4xo0b6+rqLl68uHDhQrlbxa9LUtKkOQNLUtIk6QB6NFgkJU3cBpCa0hrRYIVGynZmZmbS+fY9a9CgQXLBWNMyMXjwYO/5SIFbUuQ+1blzZ/slSUm3FAaWpKRb0gGMb7BISrr5GUBqSmtBgxWampqaYcOGJZ1vXwxZWVmnT5+2pk+dOpWdne09HylImJRLly4tXrzY+RaQpKRbCgNLUtIt6QB6NFgkJU38DCA1pbWgwQpHbW1t79699+7d63O+uPHGGxsaGqxpmWjbtq33fASVcPCtb5Z07dr13XffjV+FpKRJcwaWpKRJ0gH0+IiQpKRJ0gGkprQiNFgh2Lp1a48ePbZt2+ZzvoV3G2nlMfgXLlyoqqoaMmRI/J9ISpo0Z2BJSpqk8AQr6bokpZm8B5Ca0rrQYDXXunXrCgsLt2/f7nO+jc/L0yfp4EuPlfC7WSQlTZozsCQlTVL4DlbSdUlKM3kMIDWl1aHBapYlS5bI+4ndu3f7nH/Ncc9asWJFwn/Z4TYfPrkNfllZ2a5duxoaGo4cOTJ9+vSE38EiKWmSwsCSlHRLOoAe38EiKWniNoDUlNaIBqtZ2sSpr6/3mH/NcTE0NjbOmDEju8msWbOc/8+ShPPhk9vgb9iwoX///h06dCgqKqqsrDx79qxzFWuCpKRJCgNLUtLNe/CdnPO91yUpzeQ2gNSU1ogGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAApJ3bT9UG/XlaPz9567G62LFjx6hRozIzMwsLC6urqwMdbV1dXXl5eW5ubl5eXlVVVRgDAyCyaLAApJ3bT9UG/XlaPz9567H63r17i4qK1qxZc+7cucOHD0+YMCHQ0VZUVJSWlp5oMn78+NWrV4c1PgCihwYLQIty/lRtc/7XiG6/5O2xunRUy5YtS/lou3TpIi2XNS09VnFxcaBNAVCFBgtAi3L+VG1zftzD7efVPVbPz8+fP39+QUFBbm5ueXl5XV1doKOVBku2Zk1Lp8VPjgDwQIMFoOXE/FRtyj9P6/GTtx6ry8TkyZNPNiktLa2oqAh0tGVlZZMmTbJWnzhxYrt27fwHDkAbGiwALST+p2pTe4IVv52Y/+e4x2adj6Dy8vISru62l7Nnz0pflZOTk5+fv2jRom7duqU8FAAijwYLQEtI+FO1KXwHK+lP3nqsXlxc7PwSld1g+Txap+XLl0uz5XEMAJSjwQKQdm4/VRv052k9fvLWz2arq6vtz/hKS0unTp0a6Ghl3aNHj9bV1a1du7aoqGjPnj2BBgGAKjRYANLO7adqg/48rcdP3jp5/LrtggUL8vLycnJyysrK3L7k7rYX6c8KCws7d+5cUlJSW1sb7hABiBgaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAITs/wA8Y8e6Va6k6wAAAABJRU5ErkJggg==)
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