Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit276-12-20020413_100500_20020413_144900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/13 |
Start Time | | 2002/04/13 10:05 |
End Time | | 2002/04/13 14:47 |
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 | | -13.26 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.91 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 227.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit276-12-20020413_100500_20020413_144900-constBx0 |
Minimum Dst Value | | -32 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUATW9uIEphbiAxNCAxNDoyMjo1MiBFU1QgMjAxOfZMfMkAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyNzctMDEtMjAwMjA0MTNfMTQ1MzAwXzIwMDIwNDEzXzE5MzcwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMiB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNC0xM1QxNDo1MzowMC4wMDBaIiwgIm1heCI6IjIwMDItMDQtMTNUMTk6MzU6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjEzNzU5NTQ5OTUsICJtYXgiOjIuNjUyNTE0NTAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfb3dNQYAAAAEZ0FNQQAAr8g3BYrpAAAjNElEQVR4nO3de3AV9fn4cQQ0IbT5nkBKTCQBTLHSAaqMOmAAEQmKFEXboVHkotTSKoy05RLlVtoCbacw4lTAUuw4U+ViBzNaQsex0o7UykAZ29QgCEoMlktQLlETYgi/Z7Lf38757i17ks3hk/O8X38wmz17Pp99Ps/uPp892Rw6XQQAAECkOl3qHQAAAEg1TLAAAAAixgQLAAAgYkywAAAAIsYECwAAIGJMsAAAACLGBAsAACBiTLAAAAAixgQLAAAgYkywAAAAIsYECwAAIGJMsAAAACLGBAsAACBiTLAAAAAixgQLAAAgYkywAAAAIsYECwAAIGJMsAAAACLGBAsAACBiTLAAAAAixgQLAAAgYkywAAAAIsYECwAAIGJMsAAAACLGBAsAACBiTLAAAAAixgQLAAAgYkywAAAAIsYECwAAIGJMsAAAACKWmhOsTp1SMy4AaFftcfF88803+/fv32LL7dH1paoF1CBc1DbB4qAHgADtcZEcPnz4tm3bLknXTLAilJJBtavUHK9Eb5V27NgxevTo9PT03NzcGTNmnDp1yt4sXmZmZvB6h6ampvnz58disaysrNLSUvkxfgcsATvpt1d+zfqtT7QdS01NTX5+vmMPPXd7+/btI0eOTEtLk/anTZt2/PjxgKCCY3d36hjqFjtNdHA8qRr506dPT506tUePHtnZ2UuXLm2xcb+DP5KRbw9+I3nZZZfl5OSUlJRUV1cHvL0V+3/s2LFHHnmkb9++l19+ubzrjjvukMH03BnHSln4+te/Ht+FLA8YMCB+A/ul/fv333vvvZK4K6644oYbbnjxxRet9WfOnJH97N+/f7du3aT3u++++7XXXmtxn9070+oN3OQgqa+vb3vXrdDecwK/LLSu30j21u+yE3lHIWmelqVm5IleI4qLi8vLy2tra0+cODFz5szx48e737J69eq5c+eGXy/Wr18/ZMiQ95vJwoYNGxLaT7+98mvWb32i7VikQqxYsSK4HlhuvfVWuT2VOn3u3Llly5bJuR0QVHDs7k79hsiv00QHx5OqkZ8+fbpMMo43mzRp0rPPPhu+8fiDP5KRbw/uCZa1cOHChY8++ujHP/7x8OHDA96e6P4fPXq0T58+0mxlZeXnn38u5e2VV165/fbbPXfGsVIWpEi//PLL9ksvvfSSrHFPsA4ePCizw1//+tdVVVUyd3nrrbe+9a1vWS9JXw8//LBscP78+ZMnT27ZsuWWW24J3mfPnWn1Bq1+S4ebYAVk4RJOsMKUMyZYydHBIpeD+LHHHstpJgv2XZGkUK71vXv3lrtS68df/vKXvXr1khuLRx99VC409mYX/+8tuLsLKSfdu3d3rJQW+vXrJ5fOkOstw4YNkwPdWpaFoqIixwbhj7z4vfJrtsXuQrYjpDYUFhbW1dWFKfPx5KzOyMgIE5G7Ec9OwwxRfKdtGRxPKT/yPXv2lAuxtSxzLM/ZhmfjjoO/jSP/xRdfLF68uKCgIBaLScWyVgac7+vWrZN5jNymDx06tKKiwlr/2muvXX/99bJSXrJmQu6T3RH+mTNnunXrJgvf//737cml2Lhxo6wJ3n/PdDz00EOPP/64Z4x+b4nft61bt8Z3IdG9+OKL7p2///77f/7zn3t2IeFIUH47EN9pwEXyos/gB188E32L+7rtmVa/wyDegQMHZHIjsWRmZt5zzz01NTVhwgnuVA4AaVC2l4HyjDcgC37Hm/1jmGNV7gF+9rOf9e3bNysr68EHH/z00089xy2AZznzPCniG2xxMP12zH0Wu/sKU8RHjBixadMme4dl/pqbmxvmqDZNB5tgSfLGjBlT3UzusJcsWWKtl9zcfffdcj9q/yibHW0mCz/5yU/s9Y4Ft7KyslGjRjlWygkgh5F7Y7/1Fjk67UNTbiXlmHNsEH6CFb9Xfs222F3IdsSdd975/PPP++2h327LabZy5UrPG6YwjXh2KsvZ2dlS3QcOHLhmzZrGxsbgTtsyOJ5SfuRlgiX7YC3LTMu9836NOw7+No68FCoZn0OHDn3yySdz5syxVgac7xMnTvzggw9k35YtW2bPSOQq/Mc//lEu2XJFnjFjhme88UXi2LFjCxYssD7gkRnGyJEjt2zZIsubN2+W5YaGhuD990yH7IPUJ88Y/d4Sf12Sverfv//f//53+XHnzp2yLGvcFy4pTocPH/bsYty4cZMmTdq1a9fnn3/utxsXQ1wkAwbfr81E3+K+bnum1a/ZeIMHD3799dclZCnDs2bN+u53vxs+HM9OFy1aJCP5UbOxY8d6hhCQhRYnWGGO1VWrVt12223vv/++nBQPPPDAj370I89xC+BZzjz3Kr7BFgfTb8c8z2JHX2GK+J///OcBAwbIkW+9JOPzi1/8osVgDdTBJlhXX331O++8Yy3LrYbc61vLkpsjR47Ym8mP9mb/+c9/4jdzLDjs27dPbsod10dJ8zXXXFNZWenY2G+9rXPnztY1WshCly5dHBuEnGA59sqv2Ra7C9nOq6++etNNN1kPgoQv89Y9itwQv/fee2GCcjQS3Klchvbs2SPXPvuk9eu01YPjScPIT5kyZfLkySeayR15165dwzTuPvjbOPJf/epX7Q8PbAHnu8yNrOXPPvvM+ghK5OfnP/XUUx9++GFAvJ3+L7kFl0uE9dLx48clTaWlpfKv/cxZokeODGD8zMb9UYH7LY5Xn3nmmbvuuuti8y/7fvvb37o3sHqpq6vz3IGzZ89KDfvGN76Rnp4uAzh37lzPW/8WL5IBg+8Xe6JvcV+3PdPq16wfGYHevXuHD8ev0/3791vL8kbPEAKy0OIEK8yxeu2117777rvWshyQffr0sTeLHzc/nuXMb6/8GvQcTL8d8zyLHX2FLOI33nijdat58OBB2QFJTWCshupgEyy5ZNgHtCzIj9ay5MbxCLnfZo6FeHK/WFBQsHv3bsd6uZ2dMGGCe3v3esfFNNFPsBxv99ur1n1UEL6dQYMGvfHGG557GLDyYvOpuHTp0hEjRni+GtxIi51ebP6g2D2Gjk4j/ARLych//PHHMq+SeYbcji9fvvzKK68M07j74E90cBxHe/ypbQs43z0j+uc//zlx4sSePXv279/f/r2e38bW/ixcuDD+8TK5n5YN7N9RBuy/HxlAd0mzO7388ssdv+GSuGQOF7+ZbJCbm/vCCy/Iv/Zv2RztBHx2YpNLosycpk2b5vcUTvDYhhz8eIm+xX3ddrwa3Gw8uQGTPMphbB1U9jw40XDit7cz5fcr+7Z8ghXmWJXZXvzNQPxx0uKfTPmVM7+9im+wxcH02zHPs9jRV8giXlZW9rWvfa2xsfG+++6TmahnFObrYBOskHdI8TdnsuDezP2raykYeXl5e/fudXd63XXX7dq1K/x6W9ufwfLcq1Y87JJQO51cwu+2FGP3r/w9+U0u/ToV1dXVckUL7jSqZ7D0jHy8p59+WiZbYRp3H/xtHHkpMwl9ghUQkVym//SnP9kzRcfJ7tj43Llz9ocWb7/9ttwrb9u27aqrrrI/sUv0yJEJTWlpqWOl3emAAQPeeuut+Jf+8Y9/9O3b17HZypUru3btav9axF2tJU0rVqwI3hPL6dOnv/zlL7vXt3iR9Bv8gOd+WvEJVpgfw3yCJSufe+45uVuQkiz/ukcs0WMpzCdYAVmIn6jZn74cO3YsoWNVZhgffPBBQON+AsqZZ0eOBlscTL8d8zyLHX2FTISMjNxwzps3T84O+wHBDqeDTbDkdtP+9a1MsRctWmStd58kY8eOtR4vkAX3owBf+cpX4n+7sWrVKpns26dTvO3bt998883h18dbt25dW/6K0G+v/Jr1W59oOy3uoWPllClTZDAbGho+/PDDWbNmtfoZLM+XSkpK5CSUE0y6kNTPnj07uNNEB8eTqpGfPHmynE1Shjdt2pSfn29/8h/QuOfB38aRX758+ahRow4fPhz/9Eb4891akKNFrt1ytEjRkgJjrXSc7PHvPXXq1OLFi4cOHXqx+VEzuaD/7W9/k+WXX375+uuvt37TF7D/njk6cuSIdG3/FaGE88orr9hbyhRWevnrX/96ttnOnTsHDhz4q1/9KqDB+PX2wsGDB6Uqr169Wkamvr5+9+7d9t+v3XLLLVu2bDl+/LjkTvZ55syZ48aN82wz+CLpN/iO8YwXMl9+A+j3o1+z8WQ0XnrpJRkKOYRkKNwjluixJNvbz2DdfvvtniEEZMHeXmbky5Ytk6NLcnHXXXcldKw++eSTss+yRjb797///Z3vfCd4PC0B5cwWcFJcDDGYfjvmeRY7+gp/kMg0UVb+7ne/i1/Z4uTSKB1pXy82f6IoJdb6AwRZsD9pdJ8k1h/IZGVl/eAHP4j/OwVrQQ7BWCwWf9w41NbWWi8NHz68rKzMvSd+6+PJHFwm4LFmCxYs8PxQ1+/TmoC98mvWb32i7Tj2IWCXrJVbt24dPHjwFVdcIeVZruZyxxM8LC3GHr/SajwtLU1udOTMtDPu12mig8PIb9y4Ua7vGRkZxcXF+/btc4y8Z+OeB38bR15mA0888UTv3r3lnJWKZa0Mf75bCzJHlHvr9PR0mR69/vrr1sqAk71Hjx5S8w4dOiTrp06daj3wZJF9sB7hDz6LPWOpqqp66KGHZFS7du3as2fPe+65580337RH4/e///0NN9zwP81k4bnnnmuxwU6uCnex+Q9OpWXZK8nRjTfeaH8D01/+8hdZL8Mo49CvX79HH33U88Do1NJF0m/wHeMZL2S+/OL1+9Gv2Xgy6ZfUX3755TK3eOqpp9wjluixJBt873vfk8GRIfrpT38qLXuG4JcFux25P5QZvPXXgmvXrk3oWL1w4YLEcu2118oFUObl9knnN572q56XnXjukyKhwfTbMc+z2NFX+INEBrN///5ffPGFI7qA2E3TkfYVABCJjlWoLq1//etfMlW91HtxiTU2Njr+Aqa9TZgw4YUXXkhmj5HjHAMAdZhgtWjOnDnHjh07cuTIbbfd9sMf/vBS784ltmfPHvuvBdvbhQsXnnnmmUGDBtnf1NBBcY6hXbg/pjbwgt4hdjJRKRkUIsdR0aInn3yyd+/evXr1evjhhzvo1wRE6Etf+tLatWuT05ccnH379pUpXXK6az+cYwAAABFjggUAABAxJlgAAAARY4IFAAAQMSZYAAAAEWOCBQAAEDEtEyzPv10HAABJdqlnBEmiJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccp3KcOn/pCwCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95diUOHfs2DF69Oj09PTc3NwZM2acOnXKvU1bnqnSk1EAAIylpxybEmdxcXF5eXltbe2JEydmzpw5fvx49zZtyYqejAIAYCw95djEOM+dO9e9e3f3eiZYAAB0aHrKsYlxlpWVjRo1yr1espKdnZ2RkTFw4MA1a9Y0NjaGb1NPRgEAMJaecmxcnPv27evXr9+BAwf8Nqivr9+zZ09RUdGcOXMcL/GfHwEAYDI95disOHfu3FlQULB79+4Wt6yqqorFYuFb1pNRAACMpaccGxTn5s2b8/Ly9u7dG2bj6urqnJyc8I3rySgAAMbSU45NiXPVqlUFBQX79+93v2Qno6SkpKKi4vz585WVlWPGjJk9e3b49vVkFAAAY+kpx6bE6X5kqra21n7JWti6devgwYPT0tIKCwsXLlxYV1eXUPvR7zQAAEiEnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx6kcJ1/TAACAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlO5Tj5mgYAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcSrHydc0AABgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOU7lOPkeLAAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxKXHu2LFj9OjR6enpubm5M2bMOHXqlHubpqam+fPnx2KxrKys0tJS+TF8+3oyCgCAsfSUY1PiLC4uLi8vr62tPXHixMyZM8ePH+/eZv369UOGDHm/mSxs2LAhfPt6MgoAgLH0lGMT4zx37lz37t3d64cNGyaTMGtZFoqKisK3qSejAAAYS085NjHOsrKyUaNGuddnZmbW1NRYyydPnozFYuHb1JNRAACMpaccGxfnvn37+vXrd+DAAfdLnTt3bmhosJZloUuXLo4NOgVq910HAACB9JRjs+LcuXNnQUHB7t27PV/lEywAADo0PeXYoDg3b96cl5e3d+9evw14BgsAgA5NTzk2Jc5Vq1YVFBTs37/f/ZKdjHXr1vFXhAAAdFx6yrEpcbofmaqtrbVfshaamprmzZsXa7ZgwQK+BwsAgI5FTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU41SOk69pAADAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzKcfI9WAAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjVI6Tr2kAAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKdynHxNAwAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeXYoDhb/F1eW37lpyejAAAYS085Ni7O4AlWezQLAACSQ085Ni5OJlgAAKQqPeU4+jjr6uoWLVpUWFiYnp4u/y5ZsqS+vj6BHQqcYGVnZ2dkZAwcOHDNmjWNjY2RNAsAAJJDTzmOPs7Zs2ePHj26oqJCZlry76233vrYY48lsEMtDb1M1/bs2VNUVDRnzhz3ewMkHAkAAIiUnnIcfZw5OTnV1dX2j7IsaxLYoXBDX1VVFYvFIm8WAAC0Hz3luKNOsNqpWQAA0H70lON2+RXhmDFj3nnnnbq6OvlXltv4K0J7TUlJSUVFxfnz5ysrK6VZ6agtzQIAgCTTU47b5SH3hQsXXn311enp6fLv4sWLQz7k7vfIlL28devWwYMHp6WlFRYWShfSUfi90pNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynH0cVZUVBQVFXXr1s2or0gwYR8AAFBOTzmOPs6hQ4cuW7bss88+i7zlRPE9WAAAGEVPOY4+zvT09E8//TTyZttIT0YBADCWnnIcfZx9+vT54IMPIm+2jfRkFAAAY+kpx9HHuXbt2okTJx47dizylttCT0YBADCWnnIcTZzB/wmgCaNpwj4AAKCcnnKsJk41GQUAwFh6ynH0cV522WWRt9l2ejIKAICx9JTj6OO86qqr/vvf/0bebCuY9mtKAACU01OOo49z9erV995775EjR5qamiJvvNX0ZBQAAGPpKcfRx8lD7gAAwJOecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzKcZr2oD0AAMrpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMpx8jUNAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjg2Ks8WHpZqamubPnx+LxbKyskpLS+XHhBqPYh8BAEDr6SnHxsUZMPTr168fMmTI+81kYcOGDZE0CwAAkkNPOTYuzoChHzZsWHl5ubUsC0VFRZE0CwAAkkNPOTYuzoChz8zMrKmpsZZPnjwZi8UiaRYAACSHnnJsXJwBQ9+5c+eGhgZrWRa6dOnifm+AdtxpAAAQgp5ybFycfIIFAECq0lOOjYuTZ7AAAEhVesqxcXG6h95es27dOv6KEACAjktPOTYoTr9HpuzlpqamefPmxZotWLCA78ECAKBj0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95TiV4+RrGgAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHqRwnX9MAAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJXj5HuwAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcepHCdf0wAAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085NiXOpqam+fPnx2KxrKys0tJS+dG9TVt+5acnowAAGEtPOTYlzvXr1w8ZMuT9ZrKwYcMG9zZtyYqejAIAYCw95diUOIcNG1ZeXm4ty0JRUZF7GyZYAAB0aHrKsSlxZmZm1tTUWMsnT56MxWLubSQr2dnZGRkZAwcOXLNmTWNjY/j29WQUAABj6SnHpsTZuXPnhoYGa1kWunTp4rdlfX39nj17ioqK5syZ43ipU6B23HsAABCCnnJsSpxhPsGKV1VV1eI28fRkFAAAY+kpx6bEGeYZrHjV1dU5OTnh29eTUQAAjKWnHJsS57p16/z+itBORklJSUVFxfnz5ysrK8eMGTN79uzw7evJKAAAxtJTjk2Js6mpad68ebFmCxYsiP8eLDsZW7duHTx4cFpaWmFh4cKFC+vq6sK3ryejAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lONUjpOvaQAAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKcynHyPVgAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU41SOk69pAADAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo4AQCAAS71jCBJtMSZqKQdAcnpKJV6SVpH9GJsR/RibEf0YmxHqdRLR8FYeOPUMraXpHVEL8Z2RC/GdkQvxnaUSr10FIyFN04tY3tJWkf0YmxH9GJsR/RibEep1EtHwVh449QytpekdUQvxnZEL8Z2RC/GdpRKvXQUjIU3jhKTkR1jkRpjkRpjkZpURV69ccSbjOwYi9QYi9QYi9SkKvLqjSPeZGTHWKTGWKTGWKQmVZFXbxzxJiM7xiI1xiI1xiI1qYq8euOINxnZMRapMRapMRapSVXkFQAAIGJMsAAAACLGBAsAACBiTLAAAAAixgQLAAAgYkywAAAAIsYECwAAIGJaJlid/j/Ple6XbE1NTfPnz4/FYllZWaWlpfJj8Hq0gl8K3n777bFjx3bv3j0vL2/jxo3uN5Kd9hbmxMnMzHS/kdS0N8/UHD58+Jvf/GasmSzIj+43kpr25pma06dPT506tUePHtnZ2UuXLvV8I6lJMVomWBZ3nWjxLevXrx8yZMj7zWRhw4YNwevRao50HDhwID8//w9/+MMnn3xSVVV13333ud9CdpIj4ExZvXr13Llz3etJTXI4UjNs2LCFCxeebvb444/Lj+63kJrkcKRm+vTpJSUlx5tNmjTp2Wefdb+F1KQYJlgtbClXqPLycmtZFoqKioLXo9Uc6ZAZ1W9+85vgLclOcvidKefPn+/Xr9/Ro0fdW5Ka5HCkJiMj49y5c9by2bNn5Uf3lqQmORyp6dmz54kTJ6xlmWMNHz7cvSWpSTHaJ1jZ2dlyDRo4cOCaNWsaGxvdW2ZmZtbU1FjLJ0+ejMViwevRao7s5OTkLF68ODc3t0ePHlOnTpU7cveWZCc5/CZYcif94IMPem5JapLDkZpvf/vbS5YsOXPmjJwvixYtkh/dW5Ka5HBPsGRUrWWZacUPL6lJVaonWJb6+vo9e/bIPcGcOXPcr3bu3LmhocFaloUuXboEr0erObIjQ/rAAw+caFZSUjJ9+nT3W8hOcnieOBcuXLjmmmsqKys930JqksORmqNHj/bp08d6AEgWPvroI/dbSE1yOFIzZcqUyZMnWxe0+++/v2vXru63kJoUwwTrf1VVVXneFnBLkTSO7MgIx9/wZWdnu99CdpLD88TZvHnzhAkT/N5CapLDkZoxY8Y8/vjj9jNY8qP7LaQmORyp+fjjj2VelZWVlZOTs3z58iuvvNL9FlKTYphg/a/q6mo57t3r+aV40jiyM3z48PhHFjwnWGQnOTxPnOuuu27Xrl1+byE1yeFITbdu3fyewbKRmuQIKDdPP/20TLbc60lNilE9wSopKamoqDh//nxlZaXc6s2ePdu95bp16zz/fMNvPVrNkZ2NGzfan6hLpuKf9SE7SeYuFdu3b7/55psDtiQ1yeH+K8JFixZZn2A98cQT8ZWY1CSZIzVyNZPbeMnLpk2b8vPz3333XfeWpCbFaJlgeX7l1datWwcPHpyWllZYWLhw4cK6urr47a2FpqamefPmWd8rs2DBgvgvJvFcj1bw+0KyJUuWZGdnZ2VlTZkyxfMhd7LT3vxSM3z48LKyMs/trQVS0948U3Pw4ME77rjjf5qNGzfu0KFD8dtbC6SmvXmmRu4Y8/LyMjIyiouL9+3b59jeWiA1KUbLBAsAACBpmGABAABEjAkWAABAxJhgAQAAREzFBGvHjh2jR49OT0/Pzc2dMWPGqVOnrPWJ/s+afu04BP/HnDU1Nfn5+cH/DaL7meKLzX+3NXLkyLS0NOl92rRpx48fb91oAACA9qZiglVcXFxeXl5bW3vixImZM2eOHz/eWp/o/6zp145D8H/M+cgjj6xYsSJ4gmVxbHPrrbdu27bt9OnT586dW7ZsmUz1Eh0HAACQHComWPFkdtK9e3druS3f6hbfjkPA2ysrKwsLC+vq6loxwYonkzzPrxAEAAAmUDfBKisrGzVqlLXclv+XIL4dh4C333nnnc8///zFwMmTzW+bTz/9dOXKlX6fnwEAgEtO1wRr3759/fr1O3DggPVjq/9nTUc7Dn5vf/XVV2+66SbrkaxWT7CsZ7N69er13nvvtdgCAAC4JBRNsHbu3FlQULB79257Tes+wXK343gm3e/tgwYNeuONN+y3+L09fr1nIGfPnl26dOmIESNCBg4AAJJMywRr8+bNeXl5e/fujV/ZimewPNtx8Ht7J5fgfQ7YQOZYfk+AAQCAS07FBGvVqlUFBQX79+93rE/0f9b0aydks/Fa8SvCKVOmVFZWNjQ0fPjhh7NmzeIZLAAAjKViguX+6Ki2tvZi4v+zpl87DmH+Y86Q34MV/0GX9V9TX3HFFfn5+TNnzvz444/bMiYAAKD9qJhgAQAAJBMTLAAAgIgxwQIAAIgYEywAAICIMcECAACIGBMsAACAiDHBAgAAiBgTLAAAgIgxwQIAAIgYEywAAICIMcECAACIGBMsAACAiDHBAgAAiBgTLAAAgIgxwQIAAIgYEywAAICIMcECAACIGBMsAACAiDHBAgAAiBgTLAAAgIgxwQIAAIgYEywAAICIMcECAACIGBMsAACAiDHBAgAAiBgTLAAAgIj9P4e/ZuT2hMi0AAAAAElFTkSuQmCC)
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