Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit287-02-20020507_142500_20020507_191000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/07 |
Start Time | | 2002/05/07 14:25 |
End Time | | 2002/05/07 19:08 |
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 | | -27.18 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.64 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit287-02-20020507_142500_20020507_191000-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 GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIE1hciAyNyAxODo0ODoyMCBFRFQgMjAxOSfUo+MAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyODctMDMtMjAwMjA1MDdfMTkxMTAwXzIwMDIwNTA3XzIzNTYwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTEgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDUtMDdUMTk6MTE6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA1LTA3VDIzOjU0OjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MS4zNTg1Njk5OTk1LCAibWF4Ijo5LjA0MzgzMDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3cclZFAAAABGdBTUEAAK/INwWK6QAAIoVJREFUeJzt3XtwFfXZwHGUS0Ji0wQimEiASKHSAYqOdoAEBASEIorWoUEMF6lNqzDSFgUMl9KKtJ3CiKOipbHjjMrFDma0gU6nlXZKrQyUoaYGARECWMI1QNAAAnmfZp2dfX97ds+ek93Nnt3v5w9mz569Ps/uPs/uOeG0aQIAAICr2rT2BgAAAIQNDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgAQAAuIwGCwAAwGU0WAAAAC6jwQIAAHAZDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgAQAAuIwGCwAAwGU0WAAAAC6jwQIAAHAZDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgAQAAuIwGCwAAwGU0WAAAAC6jwQIAAHAZDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgAQAAuCzlG6w2bVJ+FwDAf15cPN97773evXvHXbIXq6YWIGhS/oi0Oqk42QDAhhcXyeLi4o0bN7bKqrnmu4hguiLlg5jordLmzZtHjhyZnp6el5c3c+bMkydPauP3799/9913ZzeTAXmpz26UlZUVcy1Xr1598sknZd6cnJz58+fLS218VVXVsGHD0tLSZHXTpk2rq6uLObvVVlkt1mp8ostR9i7u7jiMhjH4ypJFfX391KlTO3XqlJubu2TJkrjTW41PNDgxhTLyVhtjdTRabYzYtWvXmDFjMjMz8/PzKyoqXIy8F5SN1/fommuu6dq1a0lJyeHDh21mT2L7jx49+uijj/bs2bN9+/Yy19ixYyXIMTdGGSkD3/jGN4yrkOG+ffsaJ9Df2r179/333y+nTIcOHW677bY333xTG3/mzBnZzt69e3fs2FHWfu+99/75z3+Ou83mjUl6AjM5Mi9cuNDyVSfB657AJteiurp63Lhx1zWTgQ8++MC4YTFPsYTSl9C1UZkgyR1OnJ/rSgkpH45ErxGjR4/etGlTQ0PDsWPHysrKxo8fr40fPHhweXl5fbMFCxbIS/OiVq5cOXfu3Jhreemll2699dZPmsnAmjVrtPEjRoyQ+zlZ5rlz55YuXSplL+bsVltltVir8Ykuxyp6VtM7jIZCWcv06dOl1NU1mzRp0iuvvGI/vdX4RIMTUygjb7UxVkej1cbs2bOnoKDgtddeO336dG1t7eTJk5MLjm/MDZY2cOXKlU8//fQnP/lJcXGxzeyJbv+RI0d69Oghi62pqfn888+lkX3nnXfuuuuumBujjJQBaZXefvtt/a233npLxpgbrL1790p3+Otf/1pSIL3L+++//53vfEd7S9b1yCOPyAQXL148fvz4+vXr77jjDvttjrkxSU+Q9Cwp12DZ53rfvn3XX3/9ihUrjjaTM1Reykj7DUsifQ6vjQ7fch0NliK44ZBLyeOPP961mQzod0WSQjl8u3XrJnel2stf/vKXXbp0kdu7xx57TI5UfbKm/3/rYF6FlBm5NdeGMzIy5KU2fPbsWXmpTCxLLiwslNMs5tZKQyYlTRuWgaKiIvM0UvDMi7XfKqvFOlmdk+VYnQ9xl28fDYWyls6dO0vh14alxzLXPIcXkZYEJ6bwRV7ZGCPj0Wi1MdJRPf/888430mHkv/jii0WLFnXv3j07O1v6Bm2kzfm+evVqqW3p6emDBg2qrq7Wxsu9/i233CIj5S2tEzKf7Mp+nTlzpmPHjjLwgx/8wNjWV1RUyBj77Y8ZoocfflhuxmLuo9Usxm3bsGGDcRWyd2+++aZ54x988MGnn3465ipkd2SnrDbAuFKbi2STRfDtL56JzmK+bsdMq9VhYCR9v7SYsi9ZWVn33XffiRMnnOyO/UrlAJAFyvQSqCRyPWXKFOVh/OLFix966CFlwxQO02eUaIMV86QwJiJuMOXm5Oc//3nPnj1zcnJmzJhx/vx5bbz5LDavy0kRHzp06Nq1a/UNlruIvLy8RMMSWMFtsCR5o0aNOtxM7rzleNXGS27uvfdeuR/VX8pkR5rJwE9/+lN9vDJgVllZOXz4cG34gQcekFVIXuX+fuHChfJSmVgu4nJ4WS1Kjk790JR7ETnmlAnkuFy+fLn+LMGGcausFht3dQ6XI8HJzc2VQtuvX79Vq1ZdvnzZ4fLto6EwN1iyTG1YOi3zwh1eRFoSnJjCF3llY3TK0Wi1MXJZlNNQrndy/Z06daqcGi0PjpB2QTbp448/Pn369Jw5c7SRNuf7xIkTDxw4INu8dOlSvSORrfr9738vl2y5Is+cOVOf2LgiY5E4evTovHnztCcE0mEMGzZs/fr1Mrxu3ToZvnTpkv32xzwmZRukPsXcR6tZjNcl2arevXv/4x//kJdbtmyRYRljvnBJFvRvLCjGjRs3adKkrVu3fv7551ab0eTgImkTfKtlJjqL+bodM61WizUaMGDAu+++K7ssl+tZs2Z973vfc747MVcqF3yJ5KfNxowZk0SuJUdyPBvHyMsbbrjBPiYO02fU8idYSiLiBnPFihV33nnnJ598ImertIw//vGPtfExz2JlXU6K+B//+Me+ffvKka+9JefyL37xC4fRCL7gNlg33XTThx9+qA3LrUavXr20YcnNwYMH9cnkpT7Zf/7zH+NkyoBi586dhYWF+jmjPQHWum8Z0I8/jaS/T58+NTU1Vlt77bXXatdoIQNt27Y1vqstVu4g9YfGVpStslqs/eqcL0cjVWr79u1yudHPE/vp40ZDoaSgtLRUbviONZO783bt2tlPbzU+6eDEFMrIKxujsToazRsja5dLqpapkpKS6dOntzA4mq997Wv6wwOdzfkuvZE2/Nlnn2mPoERBQcFzzz136NAhZdfMe6qTW3C5RGhv1dXVSWTmz58v/+rfRUv0yJFD11gazY8KzLMo77788sv33HNPU/OnRb/5zW/ME2hraWxsjLkBZ8+elRr2zW9+Mz09XQI4d+7cmLf+cS+SNsG32vdEZzFft2Om1WqxViQC3bp1c747VivdvXu3NiwzxtwF+1zLoaLkSCbWr2xtTPSNd5I+I1caLGMijGIG8+abb/7oo4+0YTlTpDhqwzHPYmVdDov47bff/vrrrzc1fxouGyCpsdqXlBPcBkuOOf2QlQF5qQ1LbozfDJWXVpMpA0Zyv9i9e/dt27bpY6TRXrBggf4dLHlpnF5ucydMmGAco5wqce/d5dhdsmTJ0KFDY85utVXJPSpwvhyj2tpah8s3R8OespunTp2Svkqqndz2LVu2TL/Ps5rearyLT7BCGXnzxuiUo9FmY4zPGnNzc+030uZxnfFoN57aOpvz3TiZ/vJf//rXxIkTO3fu3Lt3b/1zPauJte0pLy83fglS7qdlAv0zSpvttyKHrvmphr7S9u3bK59wyX5JD2ecTCbIy8t744035F/9UzZlOTZPsHRySZTOadq0aTGfkce9SDoMvlGis5iv28q79os1ktsAyaNcQLSDSu+DE90d4/R6pmT6mLtgn2u5XUniCZbOnL6YBcJmUQk1WMZExA2mtKHG1lA/gGOexcq6HBbxysrKr3/965cvX548ebLcNVntSCoKboPl8A7JeHMmA+bJtE+ajaRK5efn79ixwzhSDiOb72ANHDhw69atNlvr5NsnstiY34ax2aokvuyS0HKMDh8+LJdyJ9PHjYbC5uR/4YUXpNlyOL0y3q3vYIUy8jE3xsjqaDRuTHFxsfHbcnqD1cLIS0uU0BMs42TKS7lM/+EPf9ArmXKyKxPLCa4/tNi1a5fcK2/cuPHGG2/Un+QleuRIRZw/f74yUl9p375933//feNb//znP3v27KlMtnz58nbt2ukfi5gbLDlBnnnmGfst0cjN4Ve+8hXz+LgXSavgmy+euiSeYDl56eQJlox89dVX5T5NSrL8a45YoseSkydY9rmWzsD8HawpU6bEXK8Vq/TFXKPD8U3xToq4wZTW58CBA+bFxjyLlXU5TIScxf3793/iiSfk7NC/IBgOwW2w5HZT//hWWuyFCxdq480nyZgxY7SvF8iA+asA119/vfEjlRUrVshtvX466eTaKqvQnmA99dRTxmtrVVXVkCFD7Ld29erVMf/+qLS0VNZ+6dKlQ4cOzZo1y+o7WFZbZbVYq/GJLqekpESOezmmZSMl2rNnz7af3mE0FErK5LojOZU4r127tqCgQH/+bDW91fhEgxNTKCNvtTFWR6PVxlRUVOgf5so0+ne/Whj5ZcuWDR8+fP/+/cZvbzg/3/Vtlmu3bLM0WNJKaiOVk90478mTJxctWjRo0KCm5q+gyQX9b3/7mwy//fbbt9xyi/bpj832xzwmDx48KKvW/7JMduedd97Rp5SbB1nLX//617PNtmzZ0q9fv1/96lc2C2yK1WDt3btXOsiVK1dKZC5cuLBt2zb9rwjvuOOO9evXS+8rOZVtLisrGzduXMxl2l8krYKvxNPIYb6sAmj10mqxRhKNt956S0Ihh5CEwhyxRI8lmV7/DtZdd92VRK7lIia3H5Ij/a8I5aX+xMsqJg7TZxO3uOObbE+KJgfBfPbZZyWYsgQ51z744IPvfve72viYZ7GyLucHidwQysjf/va3DncqVQR3BxobG+VCr/0BggzoTxrNJ4n2BzI5OTk//OEPjX+noA1IscnOzjYeN4qGhoam5qvY2LFjv9pMjnLj8165j6+srLTfWunBpQHX/hutefPm6c8/N2zYMGDAgA4dOkgnIeeP3CLEnN1qq6wWazU+0eVom5eWlib3FnIy6EG2mt5hNKz2SxspZVsuVRkZGaNHj965c2fc6a3GJxqc6ETeamOsjkarjWlqvhGXUiEnlzRn+pfcWxh5KSdyD9OtWzdZrJQibaTz810bkO5c7q3T09OlPXr33Xe1kTYne6dOne655x7tvJ46dar2hSeNbIPWO9psfxuLa31tbe3DDz8sx3O7du06d+583333vffee3o0fve73912223aVUUGXn311bgLbGOqcEKKlixZtkpyd/vtt+v/D9Zf/vIXGS9hlDgUFhY+9thjMa8wbeJdJK2Cr8TTyGG+rPbX6qXVYo3kTkNS3759e7mLeO6558wRS/RYkgm+//3vS3AkRD/72c9kyTF3wSbX4t///rdUkMxm0qXt2rXLuKKYVzCH6Yu5kLjjdeaTIqFgXrlyRcbffPPNcn2QGwb9EhTzLFbW5fwgkUO6d+/eX3zxhbLLVtFIFSm/AwAAGyEoVL6RPkl6ndbeilZ2+fJl898eeWrChAlvvPGGn2v0ByceAIQZDVZcc+bMOXr06MGDB++8884f/ehHrb05rWz79u36Xwt67cqVKy+//HL//v31/6khTDjx0FLmB+ABvKCnxEYmKpQ7BddxVMT17LPPduvWrUuXLo888kiY/puA5Fx33XUvvviiP+uSg7Nnz57S0vmzOp9x4gEAALiMBgsAAMBlNFgAAAAuo8ECAABwWdAbrPr6+qlTp3bq1Ck3N1f5r3IBAACCKegN1vTp00tKSuqaTZo06ZVXXmntLQIAAIgj6A1W586djb+GVlxcnNxyYv5BOwAAcIt7xT8Mgh4OabCOHz+uDUunFff37a2QeAAAvEOdVQQ9HKWlpfrPzT744IP2/38/nTUAAK2COqsIejhOnTolfVVOTk7Xrl2XLVt2ww03JLccEg8AgHeos4pUCscLL7wgzZbz6XmCBQCAP6iziqCHY8qUKYcPH66vr1+7dm1BQcFHH32kv5VQLkk8AADeoc4qgh6OioqK/Pz8jIyM0aNH79y50/hW3FzyBAsAAH9QZxVRCQeJBwDAO9RZRVTCQeIBAPAOdVYR5nDwESEAAP6gziqiEg4SDwCAd6izijCHgydYAAD4gzqriEo4SDwAAN6hzirCHA6eYAEA4A/qrCIq4SDxAAB4hzqriEo4SDwAAN6hzirCHA4+IgQAwB/UWUVUwkHiAQDwDnVWEeZw8AQLAAB/UGcVUQkHiQcAwDvUWUVUwkHiAQDwDnVWEfRw7N+//+67785uJgPy0vm8fEQIAIA/qLOKoIdj8ODB5eXl9c0WLFggL5NbDokHAMA71FlF0MORkZFx7tw5bfjs2bPy0vm8PMECAMAf1FlF0MPxwAMPLF68+MyZM/X19QsXLpSXyS2HxAMA4B3qrCLo4Thy5EiPHj20R1Ay8Omnn9pM3MaWb9sMAEDUUGcVQQ/HqFGjFixYoH8HS14mtxwSDwCAd6iziqCHo2PHjkl/B8uIxAMA4B3qrCLo4Rg8ePDChQu1J1hPPfVUUVGR/lbcXPIRIQAA/qDOKoIejr17944dO/arzcaNG/fxxx/rbyWUSxIPAIB3qLOKMIeDJ1gAAPiDOquISjhIPAAA3qHOKsIcDp5gAQDgD+qsIirhIPEAAHiHOquISjhIPAAA3qHOKsIcDj4iBADAH9RZRVTCQeIBAPAOdVYR5nDwBAsAAH9QZxVRCQeJBwDAO9RZRVTCQeIBAPAOdVYR5nDwESEAAP6gziqiEg4SDwCAd6izijCHgydYAAD4gzqriEo4SDwAAN6hzirCHA6eYAEA4A/qrCLo4VCapKysrKSX4+6GAQAAHXVWkUrhWLly5dy5c5Obl8QDAOAd6qwiZcJx8eLFwsLCI0eOOJ+FjwgBAPAHdVaRMuFYs2bNjBkzkp6dxAMA4B3qrCI1wnHlypU+ffrU1NTYT9bGlj+bCgBABFFnFakRjnXr1k2YMKElSyDxAAB4hzqrSI1wDBw4cOvWrS1ZAokHAMA71FlFCoSjqqpqyJAh5vFxc8lHhAAA+IM6q0iBcBQXF1dWVprHJ5RLEg8AgHeos4owh4MnWAAA+IM6q4hKOEg8AADeoc4qwhwOnmABAOAP6qwiKuEg8QAAeIc6q4hKOEg8AADeoc4qwhwOPiIEAMAf1FlFVMJB4gEA8A51VhHmcPAECwAAf1BnFVEJB4kHAMA71FlFmMPBEywAAPxBnVVEJRwkHgAA71BnFVEJB4kHAMA71FlFmMPBR4QAAPiDOquISjhIPAAA3qHOKsIcDp5gAQDgD+qsIgXCsWvXrjFjxmRmZubn51dUVCS3EBIPAIB3qLOKoIdjz549BQUFr7322unTp2traydPnpzcckg8AADeoc4qgh4O6aief/755OblI0IAAPxBnVUEPRxdu3ZdtGhRXl5ep06dpk6dWl9fn9xySDwAAN6hziqCHo62bds+9NBDx5qVlJRMnz7dZuI2tnzbZgAAooY6qwh6OLKyso4fP64NS4+Vm5ub3HJIPAAA3qHOKoIejuLiYumrtOG6urqEGiyeYAEA4A/qrCLo4aioqJgyZYr+EeGMGTP0txLKJYkHAMA71FlFCoRj8eLFubm5OTk5paWlxi+502ABABAQ1FlFmMPBR4QAAPiDOquISjhIPAAA3qHOKsIcDp5gAQDgD+qsIirhIPEAAHiHOquISjhIPAAA3qHOKvwLR2Nj48KFC3v16pWeni7/Ll68+MKFC56ukY8IAQDwB3VW4V84Zs+ePXLkyOrqaum05N8RI0Y8/vjjvq2dxAMA4B3qrMK/cHTt2vXw4cP6SxmWMZ6ukSdYAAD4gzqrCHODZUTiAQDwDnVW4etHhKNGjfrwww8bGxvlXxn2+iNCnmABAOAP6qzC1y+5l5eX33TTTenp6fLvokWLvP6SuxGJBwDAO9RZRVTCQeIBAPAOdVYR5nDwESEAAP6gzir8C0d1dXVRUVHHjh1bpekh8QAAeIc6q/AvHIMGDVq6dOlnn33m2xp5ggUAgD+oswr/wpGenn7+/PlE53KrSSLxAAB4hzqr8C8cPXr0OHDgQKJztbCp4gkWAAA+oM4q/AvHiy++OHHixKNHjyY0l1sJI/EAAHiHOqvwNhxt4nGyhNzc3IyMjH79+q1atery5ctJb0lyMwIAgLios4rUCMeFCxe2b99eVFQ0Z84cm8la2MwBAIDkUGcV/oXjmmuuaeESamtrs7Ozk5uXxAMA4B3qrMK/cNx4443//e9/W7KERH8fmidYAAD4gzqr8C8cK1euvP/++w8ePHj16lXnc5WUlFRXV1+8eLGmpmbUqFGzZ8/W30oolyQeAADvUGcVvv5f6kl8L2rDhg0DBgxIS0vr1atXeXl5Y2OjcYEJrT2ZjQYAAA5QZxVhDgcfEQIA4A/qrCIq4SDxAAB4hzqrCHM4eIIFAIA/qLOKqISDxAMA4B3qrCLM4eAJFgAA/qDOKqISDhIPAIB3qLOKqISDxAMA4B3qrCLM4eAjQgAA/EGdVUQlHCQeAADvUGcVYQ4HT7AAAPAHdVYRlXCQeAAAvEOdVYQ5HDzBAgDAH9RZRVTCQeIBAPAOdVYRlXCQeAAAvEOdVYQ5HHxECACAP6izitQIx4kTJwoKClqSPBIPAIB3qLOK1AjHo48++swzzySaPJ5gAQDgD+qsIgXCUVNT06tXr8bGRp5gAQAQTNRZRQqE49vf/vbrr7/e1LLkkXgAALxDnVUEPRx/+tOfvvWtb129erXJQfLa2PJlewEAiCLqrCLo4ejfv//f//53bZgnWAAABBN1VhH0cLTkQRRPsAAA8Ad1VpFK4VCSl2iz5fbmAACAL1FnFakUjkQbLJ5gAQDgD+qsIirhIPEAAHiHOquISjhIPAAA3qHOKsIcDj4iBADAH9RZRVTCQeIBAPAOdVYR5nDwBAsAAH9QZxVRCQeJBwDAO9RZRVTCQeIBAPAOdVYR5nDwESEAAP6gziqiEg4SDwCAd6izijCHgydYAAD4gzqriEo4SDwAAN6hzirCHA6eYAEA4A/qrCIq4SDxAAB4hzqriEo4SDwAAN6hziqCHo6qqqphw4alpaXl5eVNmzatrq7O+bx8RAgAgD+os4qgh2PEiBEbN26sr68/d+7c0qVLR44cmdxySDwAAN6hzipSKRwNDQ0ZGRnOp+cJFgAA/qDOKlImHOfPn1++fPn48eOTm53EAwDgHeqsIjXCoT2C6tKly759++JOZsW3rQUAIGqos4qUCcfZs2eXLFkydOjQ5GYn8QAAeIc6q0ilcEiPlZmZmdy8JB4AAO9QZxVBD0dpaWlNTc2lS5cOHTo0a9Ys43ew4uaSjwgBAPAHdVYR9HBs2LBhwIABHTp0KCgoKCsrO3XqlP5WQrkk8QAAeIc6qwhzOHiCBQCAP6iziqiEg8QDAOAd6qwiKuEg8QAAeIc6qwhzOPiIEAAAf1BnFVEJB4kHAMA71FlFmMPBEywAAPxBnVVEJRwkHgAA71BnFWEOB0+wAADwB3VWEZVwkHgAALxDnVVEJRwkHgAA71BnFWEOBx8RAgDgD+qsIirhIPEAAHiHOqsIczh4ggUAgD+os4qohIPEAwDgHeqsIszh4AkWAAD+oM4qgh6OzZs3jxw5Mj09PS8vb+bMmSdPnkxuOSQeAADvUGcVQQ/H6NGjN23a1NDQcOzYsbKysvHjxye3HBIPAIB3qLOKVArHuXPnMjMznU/PR4QAAPiDOqtIpXBUVlYOHz48uXlJPAAA3qHOKlImHDt37iwsLNyzZ4/NNG1s+bapAABEDXVWkRrh2LJlS/fu3bdt25b0Ekg8AADeoc4qUiAc69aty8/P37FjR0sWQuIBAPAOdVYR9HCsWLGie/fuu3fvNr8VN5d8RAgAgD+os4qgh8P8VaqGhgb9rYSW480GAgAA6qwqzOHgCRYAAP6gziqiEg4SDwCAd6izijCHgydYAAD4gzqriEo4SDwAAN6hziqiEg4SDwCAd6izijCHg48IAQDwB3VWEZVwkHgAALxDnVWEORw8wQIAwB/UWUVUwkHiAQDwDnVWEZVwkHgAALxDnVWEORx8RAgAgD+os4qohMP8m4YAAMBFrV3qg4Vw+NR0+7AWdiRoa2FHArUKf9bCjgRtLexIoFYRKUST0y9wa2FHgraWcKzCn7WwI0FbCzsSqFVECtHk9AvcWtiRoK0lHKvwZy3sSNDWwo4EahWRQjQ5/QK3FnYkaGsJxyr8WQs7ErS1sCOBWkWkEE0khjMwaMhIoJCOoCEjaC0ceUgMV6ugISOBQjqChoygtXDkITFcrYKGjAQK6QgaMoLWwpGHxHC1ChoyEiikI2jICFoLRx4Sw9UqaMhIoJCOoCEjaC0ceQAAAC6jwQIAAHAZDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgAQAAuIwGK9I2b948cuTI9PT0vLy8mTNnnjx5Uht/9erVJ598Mjs7OycnZ/78+fLSPK/VNE7mhRWrjDQ1/3c+Gqt5yYjrrNJhkyYd6fCCVeSrqqqGDRuWlpYm46dNm1ZXV2eel4zAZzRYkTZ69OhNmzY1NDQcO3asrKxs/Pjx2viXXnrp1ltv/aSZDKxZs8Y8r9U0TuaFFauM6GwaLDLiOqt0xE1TE+nwhlXkR4wYsXHjxvr6+nPnzi1dulSaMPO8ZAQ+o8HCl+TClJmZqQ0PHjxYrmLasAwUFRXpk+kF3moam3mREGNGdOYGi4z4I2Y6zONJh2+sMiLtV0ZGhv6SjKC10GDhS5WVlcOHD9eGs7KyTpw4oQ0fP348Oztbn0y/WllNYzMvEmLMiM6mwSIjnoqZDvN40uGbmBk5f/788uXLjc8UyQhaCw0W/mfnzp2FhYV79uzRXl577bWXLl3ShmWgbdu25lmspnEyL+JSMqKz+YiQjHjHKh1W45tIh8diRl77kmKXLl327dtnnoWMwGc0WGjasmVL9+7dt23bpo9xckvH7aB3zBnR2TRYZMQjVumwSVMT6fCSTeTPnj27ZMmSoUOHmt8iI/AZDVbUrVu3Lj8/f8eOHcaRTr6UwBcaPBIzIzqbBouMeMEqHfZpaiIdnokbeemxYn43i4zAZzRYkbZixQq5Edy9e7cyfvXq1VZ/VqMXeKtpbOZFXFYZ0dl8B4uMuM4qHTZpIh2esop8aWlpTU3NpUuXDh06NGvWrJjfwSIj8BkNVqS1MWloaGhq/o9hnnjiiexm8+bNM/7HMPrVymoam3kRl1VGzG8ZZ9EGyIjrrNJhnyZtgHR4wSryGzZsGDBgQIcOHQoKCsrKyk6dOmWcRRsgI/AZDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgRVqiP/ZsNd7Jb9/azG719e3kZs/KynIlOAAAJI0GK9IS/bFnq/FOfvvWZnabpsrJ7EYrV66cO3duQkEAAMB1NFj4kpMfe3byP/JZ/QKrzewOG6y4a7948WJhYeGRI0ecLA0AAO/QYOFLTn7s2clvSlj9Jq7N7NJg5ebmZmRk9OvXb9WqVZcvX05odt2aNWtmzJjhYF8BAPAWDRb+x+GPPcf9VVSb376NO/uFCxe2b99eVFQ0Z86cJGa/cuVKnz59ampqHOwuAADeosFCAj/2bP8Mybwc5XvrTh6A1dbWGp9sOZ993bp1EyZMSHTfAQDwAg1W1CX0Y88234KK+wus9rPrDh8+3LVr1yRmHzhw4NatW23WDgCAb2iwIi3RH3u2Gh/3J4rtZy8pKamurr548WJNTc2oUaNmz56d0OyiqqpqyJAhSUQAAAAv0GBFmtUvpyb6q6g2v31rZDW79kOtaWlpvXr1Ki8vb2xsjLm1Nr/JWlxcXFlZ6WJkAABoCRosAAAAl9FgAQAAuIwGCwAAwGU0WAAAAC6jwQIAAHAZDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgAQAAuIwGCwAAwGU0WAAAAC6jwQIAAHAZDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgAQAAuIwGCwAAwGU0WAAAAC6jwQIAAHAZDRYAAIDLaLAAAABcRoMFAADgMhosAAAAl9FgAQAAuOz/APiaA6z+piPBAAAAAElFTkSuQmCC)
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