Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit384-07-20021225_094200_20021225_142700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/25 |
Start Time | | 2002/12/25 09:42 |
End Time | | 2002/12/25 14:25 |
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 | | 20.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 127.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit384-07-20021225_094200_20021225_142700-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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxNTozODozMyBFU1QgMjAxOeAtJdUAAAHKdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODQtMDgtMjAwMjEyMjVfMTQyODAwXzIwMDIxMjI1XzE5MTMwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIElNUC04IHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTEyLTI1VDE0OjI4OjAwLjAwMFoiLCAibWF4IjoiMjAwMi0xMi0yNVQxOToxMTowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcyMiwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjAuMTMwMTQ0OTk5NSwgIm1heCI6MC42NzQ1MzUwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19WDoZyAAAAARnQU1BAACvyDcFiukAACObSURBVHic7d17cBX1+fhxTLgEaPM9gZQYJAGktNJBWjPqmAYQERDEC1pLI8hNamlVRtqaC3IrbdG2Uxhx1MSm2HFGBbGjjJbYcay0o7UyUIaWGgQBQbBAwj1oIMLJ75ns/HZOz16yJ9mED/u8X38wezafvTyfZ3efz57dhE5NAAAACFWnC70DAAAAUcMACwAAIGQMsAAAAELGAAsAACBkDLAAAABCxgALAAAgZAywAAAAQsYACwAAIGQMsAAAAELGAAsAACBkDLAAAABCxgALAAAgZAywAAAAQsYACwAAIGQMsAAAAELGAAsAACBkDLAAAABCxgALAAAgZAywAAAAQsYACwAAIGQMsAAAAELGAAsAACBkDLAAAABCxgALAAAgZAywAAAAQsYACwAAIGQMsAAAAELGAAsAACBkDLAAAABCxgALAAAgZEoHWJ06KQ0cANqiPS6e77333uDBg1tcc3tsmlqA9qP02PI6qTjZAMBHe1wkhw8f/sorr1yQTXPNt9AP7UFpn6Z6q7R+/fqRI0d269YtNzd3xowZhw4dsubv3r37lltuiTWTCfmYuFRdXV1eXp7PtuLxeGlpqSyblZVVXl4uH4Os1vbGG2+MHj06IyND9mr27NlHjhzxX63XfK/1WP1gCbJdr/md/pdXb/hv1OLsUq+NevVhqp1Dzx8/fnz69Om9evXKzs5esmRJi+29TpZQer49JO2/HdQll1ySk5NTXFy8f/9+n8Vbsf8HDx68//77BwwY0KVLF1lq/Pjx0mmuO5M0Uya+8Y1vJG5CpocMGZLYwP7R9u3b77zzTklc165dr7766pdfftmaf+LECdnPwYMHd+/eXbZ+++23v/XWWy3us3NnWt3AKTMz88yZM23fdCu068AipcRZ5JCT0y3xUpAoSGnoyKESwzJ/Snsn1WvEDTfcIDdYUmlOnTq1dOlSKWbW/MLCwgULFhxvNn/+fPmYuJRcQx999FGfbVVWVhYUFOxpJhNVVVVBVmsbO3ZsdXV1fX394cOH58yZM3HiRP/Ves33Wo9Xb3i195rfupPQdSlnl3pt1KsPU+0cV6p6fubMmTLIONRs8uTJzz77rH97r5MllJ5vD84BljVx/vz5Tz/99Kc//enw4cN9Fk91/w8cONC/f39ZbU1Nzeeffy6l9PXXX7/ppptcdyZppkzIUOm1116zf/Tqq6/KHOcAa+fOnVKqf/vb3+7bt0/GLu+///53vvMd60eyrfvuu08anD17tra29qWXXrr++uv999l1Z1rdoNWLXNQDrICJk8Pju9/97pQpU1xXGKQ0MMAyR9R6Ry4lDz30UE4zmbDviuQ4WLFiRb9+/eSu1Pr461//uk+fPnJ798ADD8iFxm7W9L/3/c5NSBnr0aOHNS0TUkWs6ZMnT9rzhVw9Bw0a1NDQ4HMIyukhddGalomioqIWV+tF2vfs2dN/tV7zvdZj8wnBtX3S/LAGWC12aeJGvfqwLZ3T4kYj2fO9e/eWcZs1LWMs52jDZyuJJ0sbe/6LL75YtGhRfn6+3LvLuMGa6XO+V1RUyDgmIyPjuuuu27ZtmzX/rbfeuuqqq2Sm/MgaCTlP9qRwTpw40b17d5n44Q9/mDi4XLVqlczx33/Xnrn33nulNHr1WIsDrLVr1yZuQqJ7+eWXnTsvFfqXv/yl6yYkHAnKawcSN+pzkWzy6Hz/i2eqiziv265p9ToMEu3YsUOGmBJLZmbmHXfcUVdXFyQc/43KASArlPbSUWElTsjpJiedc21NAUqD6/Gc2Ict9oPcV/ziF78YMGBAVlbWrFmzTp8+bc13noDObQWpvyNGjFi9erW9w3IDkJubG+SAvBhFbYAlR8CYMWP2N5M76cWLF1vzJcG333673I/aH6XZgWYy8bOf/cyenzSRRI62xx57zP6G4K677pJNyMEh9xMLFy6Uj3bLm2+++YUXXvBZVVPzF+P28S23knLgtrhaL+vWrRs1apT/ar3me63H5hOCa/uk+bJ4dna2XAuGDh26cuXKc+fOtRiO60Zb7NLEjXr1YVs6p8WNRrLn5Vov+2xNy6XfufMBT5Y29rwMFySuXbt2HTt2bN68edZMn/N90qRJH3/8sezD0qVL7cIml/I//vGPct2Xy/rs2bNd9z+x0hw8eLCsrMz6gkdGGCNHjnzppZdkes2aNTLd2Njov/+uPSP7IEXONUavRRKvS7JXgwcP/vvf/y4fN2zYINMyx3nhkgrn9WrBhAkTJk+e/O67737++edeu9EU4CLp0/le60x1Eed12zWtXqtNNGzYsLfffltClmvCgw8++P3vfz94OK4blauK9OSnzcaNGxdW4pp8B1hBSoPzeE7swxb7Yfny5TfeeOOePXvkRLvnnnt+8pOfWPNdT8CkbQWpv3/+85+HDBkisVs/ktPwV7/6lWuwERC1Adbll1/+wQcfWNNyqzFo0CBrWhK8d+9eu5l8tJv95z//SWyWNJHIGqrLLd1HH31kzbG+7bfmy4R9EL/55pvXXnut9cTd53KTlpZmXaOFTKSnp/uv1suWLVsGDhxoX7W9Vus132s9iYEH2a7/fKlqmzZtksuTfXL6S9poi12atFGvPmx157jS0PPTpk2bOnXq4WZTpkzp3LlzkJ10nixt7PmvfvWr9pcHNp/zXcZG1vRnn31mfQUl8vLynnjiiU8++cRn/zv9L7mPl0uE9aNDhw5J95aXl8u/9rtlqR450oGJIxvn9w3ORZJ++swzz9x2221NzQ/7fve73zkbWFtpaGhw3YGTJ09KIfzmN7+ZkZEhHfjwww+7fn/Q4kXSp/O9Yk91Eed12zWtXqv1Ij3Qr1+/4OF4bXT79u3WtCwYVuLkSlXczHXPg5QG5/Gc2Ict9sMVV1zx4YcfWtNykMtWrGnXEzBpWwHr7zXXXGPdKu/cuVN2QHrVdfciIGoDLLlk2JcVmZCP1rQkOPEFQ/no1SxpIokckUuWLBkxYoT1UUbr8+fPt5+Iy0dr/pVXXvnOO+84V5V0MfW69/VabdLiFrkZys/P37hxoz2ndV8VONeTuNvOmV7tfdbT1PyFcMAvh5I26tWlXhv16sMQv8FS0vNHjx6VcZWMM3JycpYtW3bppZcG2ckmx8mSauckHe2Jp7bN53x33cN//vOfkyZN6t279+DBg+3nel6Nrf1ZsGCB/RqZkJtyaWA/o/TZfy/SgT4j6S5duiQ94ZK4ZAyX2Ewa5Obmvvjii/Kv/ZQtaT0+32DZ5JIoI6cZM2Y4X/5rCnCRDNj5iVJdxHndTvqp/2oTyT2G5FEOY+ugssfBqYaT2N7OlNd7C0l58U+cfU8i9zP2d8ZJZ4HXZc11o/bHxD5ssR9kBJl4g2Efe64nYNK2AtbfdevWff3rXz937tzdd98tNzzOECIjagOsgHdIiTdnMuFsZj2udiVlw37HRY5F1yfinRxcV+X19obXap3WrFnTt2/fzZs3B1mtz8siruuxOfffq73/esT+/fvl0u/1U5+N+nSp60a9+jCsd7D09Hyip556yvn6rU/7xJOljT0vQ6KUvsHy2UO51v/pT3+yR4pJJ3tSYzmK7C8ttm7dKjfcr7zyymWXXWZ/M5fqkSMDmvLy8qSZ9kaHDBny/vvvJ/7oH//4x4ABA5KaPfbYY507d7afrTgHWJKmRx991H9PLFKqv/zlLzvnt3iR9Op8n4tnK77BCvIxyDdYMvO5556TuwWp6/Kvs8dSPZZa8Q1WU4DE+QtSGvyP5xb7QYY+H3/8sXO1ridg0rYC9qGcgHLDXFJSIge2/W5fJEVtgCW3m/YzYBmnL1y40JrvPEnGjRtnvV4gE85XAb7yla/U1NTY7adNmyYfGxsbP/nkkwcffDDxV9VkE9b9xCOPPOJ6bfU5cyoqKrx+i7DF1TY1PyzPz8+3T/IWV+s132s9XiF4tfeaX1xcLCebnEjSh5KduXPnem3IZ6NeP/LaqFcfpto5rlT1vNxPy9kk3bh69eq8vDz78YFXe6+TpY09v2zZslGjRu3evTvxFZDg57vdIVIApENkgCXjUWtm0smeuOyRI0cWLVp03XXXNTW/UiZV4W9/+5tMv/baa1dddZX1pM9n/12P4b1798qm7d8ilHBef/11u6UMYWUrf/3rX08227Bhw9ChQ3/zm9/4rLDJrU7v3LlTRpArVqyQnjlz5szGjRvt3yK8/vrrX3rppUOHDkmOZJ/nzJkzYcIE13X6XyS9Oj+pPxMFzJdXB3p99FptIumNV199VbpCDiHpCmePpXosSXv7Haybbrop4AAr1QZJgpQGn+O5KUA/PP7449IPsgY5Tf79739/73vfs+a7noBJ2wqeX7khlJm///3vXXsjMqIWT0NDg1QR67cYZML+utJ5kli/IJOVlfWjH/0o8ZcdrAmpWLFYzP64du3aYcOGde3aVQqMXI9k4G/Nl6vY+PHj/6+ZnGy7du1y7pLPQSMDeRnFW3/UpKyszP4SNchqm9y+1Kmvr/dZrdd8r/U4f+Tf3mu+1XvdunWTGxo5A71eDfGKy79LvTbq1Yepdg49v2rVKhkQyL3y2LFjt2zZ0mJ7r5OljT0vowGpKP369ZNzVsYN1szg57s1IWNEuUHPyMiQ4dHbb79tzUw62RMj6tWr12233WYdPNOnT7fem7HIPsyaNct//zt5nPv79u279957pVc7d+7cu3fvO+6447333rN74w9/+MPVV19tHboy8dxzz7W4wk5udVoqn6xZ9kpycc0119h/B+svf/mLzJdulH4YOHDgAw88YOcoaZ3+F0mvzk/qz0QB8+UVr9dHr9UmWr9+vaS+S5cucivyxBNPOHss1WNJGvzgBz+QzpEu+vnPfy5r9tn/lBLnI0hpcB7PiT9tsR/Onz8v86+44gq5bshYf926ddZ81xMwaVvB8ytH4+DBg7/44gvX3oiMqMUDAGi76FW79vOvf/1LhqoXei9a79y5c85fXmlXt95664svvtiRW7wgOIUAAMkYYLVo3rx5Bw8e3Lt374033vjjH//4Qu9O623atMn+bcH2dv78+WeeeebKK6+0/1JDhHEK4cJwPtUy8IJ+UexkqiIZFELHUdGixx9/vF+/fn369Lnvvvsu6r818KUvfenpp5/umG3JcTVgwAAZ0nXM5i4sTiEAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAiZlgGW66+mAwCADnahRwQdRE2cajIKAICx9JTjKMepc8gMAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOY5ynDwiBADAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaechzlOHkHCwAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnIc5Th5RAgAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085jnKcPCIEAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOU4eQcLAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecmxKnPF4vLS0NBaLZWVllZeXy0fXZlu3bh03blzPnj379u27atUq/3XyiBAAAKPoKcemxFlZWVlQULCnmUxUVVU52+zYsSMvL+/5558/duzYvn377r777uDr15NRAACMpaccmxJnYWFhdXW1NS0TRUVFzjYyonryySdbt349GQUAwFh6yrEpcWZmZtbV1VnTtbW1sVjM2SYnJ2fRokW5ubm9evWaPn368ePHg69fT0YBADCWnnJsSpxpaWmNjY3WtEykp6c728jMe+6553Cz4uLimTNnJjXo5KvdYwAAAL70lGNT4gzyDZa0kR9Z0zLGys7ODr5+PRkFAMBYesqxKXEGeQdr+PDhMq6ypg8dOsQACwCAi4uecmxKnBUVFV6/RWgnY9WqVVOnTrUfEc6aNct/nTwiBADAKHrKsSlxxuPxkpKSWLOysrLEv4OVmIzFixdnZ2dnZWVNmzaNl9wBALi46CnHauJUk1EAAIylpxxHOU4eEQIAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzmOcpy8gwUAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085jnKcPCIEAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHEc5Th4RAgBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOY5ynLyDBQCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzmOcpw8IgQAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccRzlOHhECAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjk2JMx6Pl5aWxmKxrKys8vJy+ehs05ZHfnoyCgCAsfSUY1PirKysLCgo2NNMJqqqqpxtWjGo4h0sAADMoaccmxJnYWFhdXW1NS0TRUVFzjZtyYqejAIAYCw95diUODMzM+vq6qzp2traWCzmbCNZyc7O7tGjx9ChQ1euXHnu3Lng69eTUQAAjKWnHJsSZ1paWmNjozUtE+np6V4tz5w5s2nTpqKionnz5iX9qJOvdtx7AAAQgJ5ybEqcQb7BSrRv374W2yTSk1EAAIylpxybEmeQd7AS7d+/PycnJ/j69WQUAABj6SnHpsRZUVHh9VuEdjKKi4u3bdt29uzZmpqaMWPGzJ07N/j69WQUAABj6SnHpsQZj8dLSkpizcrKyhL/DpadjLVr1w4bNqxbt26DBg1asGBBQ0OD/zp5BwsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOU4eUQIAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOY5ynDwiBADAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaechzlOHkHCwAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnIc5Th5RAgAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085jnKcPCIEAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHH6cDQ0NCxcuHDRoUEZGhvy7ePHiM2fOhL6VIHgHCwAAo+gpx+HHOXfu3NGjR2/btk1GWvLvDTfc8NBDD4W+lVTpySgAAMbSU47DjzMnJ2f//v32R5mWOaFvJVV6MgoAgLH0lOMoD7B4RAgAgFH0lON2eUQ4ZsyYDz74oKGhQf6VaR4RAgCAJk3luF1ecl+wYMHll1+ekZEh/y5atOhCveSeSE9GAQAwlp5ybEqc8Xi8tLQ0FotlZWWVl5fLR6+WdXV1eXl5QTLEI0IAAIyipxybEmdlZWVBQcGeZjJRVVXl1fL+++9/9NFHU82QnowCAGAsPeU4/Di3bdtWVFTUvXv3lL49KiwsrK6utqZlQtbg2qympmbQoEENDQ0MsAAAuOjoKcfhx3ndddctXbr0s88+S2mpzMzMuro6a7q2tjYWi7k2u/nmm1944YWm1DOkJ6MAABhLTzkOP86MjIzTp0+nulRaWlpjY6M1LRPp6enONm+++ea1115rvZ7lmqFOvlLdJQAAEC495Tj8OPv37//xxx+nulSQb7CuvPLKd955x5rmGywAAC46espx+HE+/fTTkyZNOnjwYEpLBXkHqy1fSunJKAAAxtJTjsOJ0//ZXJDerKio8PotQq+nganuVUoRAQCA0Okpx6bEGY/HS0pKYs3KysoS/w5WqwdYbWkPAABCp6cchx/nJZdcEvo6205PRgEAMJaechx+nJdddtl///vf0FfbRnoyCgCAsfSU4/DjXLFixZ133rl3716f/+6mY/AOFgAARtFTjsOP08y/QWXCPgAAoJyecqwmTjUZBQDAWHrKcZTjNO1bNAAAlNNTjtXEqSajAAAYS085VhOnmowCAGAsPeU4ynHyiBAAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxlOPkHSwAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcZTj5BEhAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjKcfKIEAAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynGU4+QdLAAAjKKnHKuJU01GAQAwlp5ybEqc8Xi8tLQ0FotlZWWVl5fLR2eb9evXjxw5slu3brm5uTNmzDh06FDw9evJKAAAxtJTjk2Js7KysqCgYE8zmaiqqnK2ueGGG1555ZXjx4+fOnVq6dKlo0eP9l8njwgBADCKnnJsSpyFhYXV1dXWtEwUFRX5t6+vr+/Ro0fw9evJKAAAxtJTjk2JMzMzs66uzpqura2NxWI+jU+fPv3YY49NnDgx+Pr1ZBQAAGPpKcemxJmWltbY2GhNy0R6erpXS+t5X58+fT766CPXH3lpx70HAAAB6CnHpsSZ0jdYJ0+eXLJkyYgRI4KvX09GAQAwlp5ybEqcqb6DJWOsnj17Bl+/nowCAGAsPeXYlDgrKiq8fovQTsa0adNqamoaGxs/+eSTBx98kHewAAC4uOgpx6bEGY/HS0pKYs3KysoS/w6WnYy1a9cOGzasa9eueXl5c+bMOXr0qP86eQcLAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaechzlOHlECACAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzmOcpw8IgQAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnIc5Th5BwsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOU4eUQIAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOMpx8g4WAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjKcfKIEAAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnIc5Th5RAgAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085NiXOeDxeWloai8WysrLKy8vlo7PNG2+8MXr06IyMjNzc3NmzZx85ciT4+vVkFAAAY+kpx6bEWVlZWVBQsKeZTFRVVTnbjB07trq6ur6+/vDhw3PmzJk4caL/OnkHCwAAo+gpx6bEWVhYKIMna1omioqK/NufOnWqZ8+ewdevJ6MAABhLTzk2Jc7MzMy6ujprura2NhaL+bdft27dqFGjgq9fT0YBADCWnnJsSpxpaWmNjY3WtEykp6f7NN6yZcvAgQN37NiRNL+Tr/badQAAEIyecmxKnMG/wdqwYUN+fv7GjRtTWr+ejAIAYCw95diUOAO+g7VmzZq+fftu3rw51fXrySgAAMbSU45NibOiosLrtwjtZCxfvjw/P3/79u0B18kjQgAAjKKnHJsSZzweLykpiTUrKytL/DtYdjKcr1XV19cHXL+ejAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOoxwn72ABAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjqMcJ48IAQAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdRjpNHhAAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU46jHCfvYAEAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOoxwnjwgBADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccRznOTgAAwDAXenTQQbTEmaRjEsxWjN0QW2ErkdkQW2Er0dhK9CjttSgdlFHaSodtiK2wlchsiK2wlWhsJXqU9lqUDsoobaXDNsRW2EpkNsRW2Eo0thI9SnstSgdllLbSYRtiK2wlMhtiK2wlGluJHnrtosehbyxSYybyYixSYyby0jr02kWPQ99YpMZM5MVYpMZM5KV16LWLHoe+sUiNmciLsUiNmchL69BrFz0OfWORGjORF2ORGjORl9ah1y56HPrGIjVmIi/GIjVmIi+tQ68BAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAGWcTr9f64znT+yxePx0tLSWCyWlZVVXl4uH/3nI1Ve/b9169Zx48b17Nmzb9++q1atci5IatpVkFMmMzPTuSB5aW+uqdm9e/ctt9wSayYT8tG5IKlpV655OX78+PTp03v16pWdnb1kyRLXBclLShhgGcpZLVpcpLKysqCgYE8zmaiqqvKfj9ZJysWOHTvy8vKef/75Y8eO7du37+6773YuQmo6gM85smLFiocfftg5n7x0jKTUFBYWLliw4Hiz+fPny0fnIqSmAyTlZebMmcXFxYeaTZ48+dlnn3UuQl5SwgDLUMEHWPaP5DpVXV1tTctEUVGR/3y0TlIuZET15JNP+rckNR3A6xw5e/bswIEDDxw44GxJXjpGUmp69Ohx6tQpa/rkyZPy0dmS1HSApLz07t378OHD1rSMsYYPH+5sSV5SwgDLUM4BVnZ2tlyJhg4dunLlynPnzjlbZmZm1tXVWdO1tbWxWMx/PlonKTU5OTmLFi3Kzc3t1avX9OnT5abc2ZLUdACvAZbcTM+aNcu1JXnpGEmpueuuuxYvXnzixAk5WRYuXCgfnS1JTQdwDrCkS61pGWkl9i15aR0GWIZyrRZnzpzZtGmT3BzMmzfP+dO0tLTGxkZrWibS09P956N1klIj/XnPPfccblZcXDxz5kznIqSmA7ieMufPn//a175WU1Pjugh56RhJqTlw4ED//v2td4Bk4tNPP3UuQmo6QFJepk2bNnXqVOtSNmXKlM6dOzsXIS8pYYBlKJ9ngvv27XO9P+DeomMkpUa6N/G2Lzs727kIqekArqfMmjVrbr31Vq9FyEvHSErNmDFj5s+fb7+DJR+di5CaDpCUl6NHj8q4KisrKycnZ9myZZdeeqlzEfKSEgZYhvIZYO3fv19OAOd8no53jKTUDB8+PPHFBdcBFqnpAK6nzLe+9a13333XaxHy0jGSUtO9e3evd7BspKYD+FSZp556SgZbzvnkJSUMsAyVdOgXFxdv27bt7NmzNTU1csM3d+5cZ8uKigrX3+Pwmo/WSUrNqlWr7O/VJU2Jr/uQmo7krBbr16//9re/7dOSvHQM528RLly40PoG65FHHkksxqSmIyXlRa5jcvcuSVm9enVeXt6HH37obEleUsIAyziuf/Jq7dq1w4YN69at26BBgxYsWNDQ0JDY3pqIx+MlJSXWX5cpKytL/AslrvORKq+/RrZ48eLs7OysrKxp06a5vuROatqVV16GDx++bt061/bWBHlpb66p2blz5/jx4/+v2YQJE3bt2pXY3pogNe3KNS9yr9i3b98ePXqMHTt2y5YtSe2tCfKSEgZYAAAAIWOABQAAEDIGWAAAACFjgAUAABAyBlhmeeONN0aPHp2RkZGbmzt79uwjR45Y81P9Lza91uPkfDU4+OJezbxeOgYAQAmKn1nGjh1bXV1dX19/+PDhOXPmTJw40Zqf6n+x6bUeL0nDoICLezVjUAUAUI5CaK5Tp0717NnTmm7Ln3dLXI8XnyFRkMWTmjHAAgAoRyE017p160aNGmVNt+U/KEhcjxefIVGQxZOadfL+r6kBANCAAZahtmzZMnDgwB07dlgfW/1fbCatx4vXACvg4q7N/P9ragAAIowBlok2bNiQn5+/ceNGe07rvsFyrsfrxXPXAVbAxZ3NEnn919QAAEQYAyzjrFmzpm/fvps3b06c2Yp3sFzX48U5wAq4eIvNvP5ragAAIowBllmWL1+en5+/ffv2pPmp/hebXuvxkjTACri4VzOf/5oaAAANGGCZpZNDfX19U+r/xabXelrcYkqLezXz+a+pAQDQgAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhOz/ASrj6vul9a8TAAAAAElFTkSuQmCC)
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