Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit392-06-20030113_054500_20030113_103000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/13 |
Start Time | | 2003/01/13 05:45 |
End Time | | 2003/01/13 10:28 |
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 | | 27.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | -0.57 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit392-06-20030113_054500_20030113_103000-constBx0 |
Minimum Dst Value | | -13 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAwOToxMDo0MSBFU1QgMjAxOVYK7yAAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzOTItMDctMjAwMzAxMTNfMTAzMTAwXzIwMDMwMTEzXzE1MTYwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMyB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMy0wMS0xM1QxMDozMTowMC4wMDBaIiwgIm1heCI6IjIwMDMtMDEtMTNUMTU6MTQ6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjo0LjMyMTgzNDk5OTUsICJtYXgiOjcuMDg4NjY1MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfUGhBdgAAAAEZ0FNQQAAr8g3BYrpAAAjDElEQVR4nO3df3AU9f34cSRCQmjzucDVNEgQTLHSCaky6oAJCBqw6vizMzaUH4LW0iIZ0xZI2vCjtBXaTmGMYw2Wph1n/Bk7yGjBjmOlHa2ViWVoU2PxF4RogQRBAc0PQ/i+Jjvfnevt7d7eZXN5517Pxx+Zvb299+5rX3v7eu39yA07CwAAgEANG+wNAAAASDc0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQsPRssIYNS8+4AGBADcTJ89VXX508eXLckQdi1YNVC6hBOKutweKgBwAPA3GSLC0t3b59+6CsmgYrQGkZ1IBKz/2V6KXSzp07Z82alZmZmZ+ff8cddxw5csSaf+LEicWLF48ZMyYcDq9fv95e/vnnn7/66quzsrJk+bvuuuvYsWMx19Lb27t69epQKJSbm1tdXS037bVHysnJiflwt7W4Des23y06t+Ujt9C535zz3cZ3E3OQRDc+0XE8gnVSteejjsa4y4t9+/bNmzdv9OjR48aNq6+vT27npIxbUOecc05eXl55eXlra6vHw5PY/sOHDy9fvnzixIkjRoyQR33ta1+TTMXcmKiZMvGVr3wlchUyPWXKlMgF7LvefPPN2267Tc5OI0eOvOyyy55++mlr/kcffSTbOXny5FGjRsnab7755hdffDHuNjs3JukFnOQU19nZ2f9VJ2GgewK3LCS33kC21s9pIZWtkua2LD0jT/QcMWfOHLnAknbq5MmTGzZskOJqzV+yZImcf4/0uf3223/3u99Z8+fOnbtr165Tp04dPXp02bJlN9xwQ8y1bN26ddq0ae/1kYlt27Y5l9myZcvKlStjPtxtLW7Dus13iy7u5vl8IdBtfG9RgyS68YmO4ycXNlV7PtEny/79+wsKCh599NHjx4+3tLTMnz/fO6iE9vxAcIv3zJkzH3zwwQ9+8IPS0lKPhye6/e+///4FF1wgwzY3N3/66afSnT/33HPXXnttzI2JmikTUqSfffZZ+65nnnlG5jgbrLfeeku6w1/96leSAuldXnvtta9//evWXbKuu+++Wxbo6upqa2t76qmnrrrqKu9tjrkxSS+Q9EOGXIPlkYVBbLD8nBZosFJjiEUuB/G9996b10cm7KsiSaF0KuPHj5erUuvmL37xi/POO08uLO655x450diLnf3fS3bnKqSsZmdnW9Njx46VEmtNS48V80QsB7Fcysfc2hkzZkidtqZloqSkJGoB2bBJkybJGTlu4JFrcRs27uqioou7vM8y7za+t6hBEt34RMfxM35Mab/nEy2o0lE9+OCDzsX6uec/++yztWvXTpgwIRQKScWyZno83+vq6qSPycrKmj59elNTkzX/xRdfvPTSS2Wm3GV1Qs4ne1Q4H3300ahRo2TiO9/5jn0FJerr62WO9/bH3HV33nnnD3/4w5gxuj0kctsaGhoiVyHRPf30086N/+Y3v/mzn/0s5iokHAnKbQMiV+pxkjzrsvO9T56JPsR53o6ZVrfDIJL0/dLcSCw5OTm33npre3u7n3C8VyoHgAwoy8uOihmvRxbcjjf7pp9jVa4BfvrTn06cODE3N3fp0qWnT5+Oud88uJ0znU+KyAHj7ky3DXM+i53r8lPEZ86c+cQTT9gbLP1rfn6+n6PaNEOswZLklZWVtfaRPn3dunXWfMnNzTffLNej9k1Z7P0+MvHjH//Ynh81EUUOlE2bNtmvWEiDJZeA1rR0WnLQOB+yY8eO2bNnxxxNjk770JRxnA+X55UcnT7i/p+1uA0bd3VR0cVdPtEyHzW+t6hBEt34RMeJO76btN/zcjMcDstZuKioqLa2tqenx3t5OS3K01DOd3L+Xbx4sVwoewflc89LoZL9/M477xw/fryystKa6fF8v+WWWw4cOCCByzW63ZHIVv3hD3+QU7acke+66y63eK0JKRKHDx+uqqqyXuCRDmPWrFlPPfWUTD/55JMy3d3d7b39MdMh2yD1KWaMbg+JPC/JVk2ePPlvf/ub3Ny9e7dMyxzniUuy8O6778ZcxXXXXXf77be/8sorn376qdtmnPVxkvTY+W5jJvoQ53k7Zlrdho1UXFz80ksvSchShlesWPGtb33LfzgxV7pmzRrZkx/0mTdvXswQPLIQt8Hyc6xu3rz5mmuuee+99+RJsXDhwu9///sx95sbj9OCc6siB4y7M902LOazOGpdfor4n/70pylTpsiRb90l++fnP/+5d7BmGmIN1oUXXvjGG29Y03KpUVhYaE1Lbg4ePGgvJjftxf79739HLhY1EcnqsuWS7u2337bmLFq0aMGCBUf7yMXKueeeG/WQvXv3Tpo0ye18Onz4cOscLWQiIyMj8l45ei666KLm5ua4UUetxW1Y79U5o/Ne/myCZd45vreoQRLd+ETHiRtsTBr2vEVO9I2NjVJd7NOi2/KytXJKtZ4U5eXlS5Ysseb3c89/6Utfsl88sHk836U3sqY/+eQT6yUoUVBQ8MADDxw6dMhj+4f9L7kEl1OEddeRI0ck3dXV1fLX/uRKokeOnCUiOxvnSwXOh0Td+/DDD990001n+97s+81vfuNcwFpLR0dHzA34+OOPpYZ99atfzcrKkh24cuXKmJf+cU+SHjvfLfZEH+I8b8dMq9uwbmQPjB8/3n84bit98803rWl5YMwQPLIQt8Hyc6xefPHF//nPf6xpOSAvuOACe7HI/ea2AR6nBedWuQ0Yc2e6bVjMZ3HUunwW8csvv/yxxx472/c+rGyApMYzXEMNsQZLThn2AS0TctOaltxEfVLYbbGoiShyMK1fv37mzJnWzQ8//FD6KjkFy5XKfffd98UvfjFyYbm+nDBhwp49eyLXG3ky9b52l6vkG2+8MXJO1MPd1pL0SwVR0QX+OkrU+N6iBkl04xMdJ4lXsJTs+UhyMR13Y2TjI1/WDYfD9vyEdk7U0R751LZ5PN9jbuE//vGPW265ZezYsZMnT7bf13Nb2NqempqayA+pyPW0LGC/R+mx/W7kLOG84rJXOmLEiKh3uCQu6eEiF5MF8vPzH3/8cflrv8sWNY7Hayc2OSVK53THHXe4vYbhvW997vxIiT7Eed6Outd72EhyeSB5lHO1dVDZfXCi4UQub2dKlo8ZQn9ewfJzrEq3F3kxEHmc+PlmjMdpwblVkQPG3ZluGxbzWRy1Lp9FfMeOHV/+8pd7enrmz58vnagzhCFhiDVYPq+QIi/OZMK5mMdb13JQxvxM1a9//Wtptuyb0h6NGzfu9ddf99ha70+fXHLJJa+88orHw93W0p8Pu0RGNxCfBHLbe3EHSXTjEx0n0c9g6dnzkVpbW6VmeC9fWloa+cFEu8Hq556XMpPQK1geWyin6T/+8Y/25VDUkz1q4ZMnT9ovWuzbt0+ulbdv337++efb1/2JHjnS0FRXV0fNtFc6ZcqU1157LfKuv//97xMnToxabNOmTeeee679toizWsu5aOPGjd5bYjlx4sTnP/955/y4J0m3ne9x8kziFSw/N/28giUzH3nkEbkklpIsf517LNFjyc8rWB5ZiGzU7FdfDh8+nNCxKh3GgQMHPAaPy+204P2kiLsz3TYs5rM4al0+EyF7ZurUqatWrZJnh/0BwSFniDVYcrlpv30rLfaaNWus+c4nybx586yPF8iE86MAX/jCFyLfm1u0aJHc7O7uPnTo0IoVK+wLvgULFsiK5Az1xBNPFBQU2C+Kbt68ecKECfbTz01dXZ3b94927tx55ZVXej/cbS1uw7rNd4vOY/Oidpf3fLfxvUUNkujGJzpO3GAjqdrz5eXlcpqTU5gMJU+uiooK7+Xr6+vt983lsfaHCPu55++7777Zs2e/++67kZ/e8P98t2ORc7fEIkVL+mNrZtSTPfKxx44dW7t27fTp08/2fWBFTuh//etfZfrZZ5+99NJLrXf6PLY/ZpoOHjwoq7a/RSjhPPfcc/aScp0ma/nLX/7ycZ/du3cXFRX98pe/9Bgwcr498dZbb0lV3rJli+yZzs7OPXv22N9fu+qqq5566inpfeXAkG1etmzZddddF3NM75Ok286P2p+RfObLbQe63XQbNpLsjWeeeUZ2hRxCsiuceyzRY0mWtz+Dde2118YMwSML9vLSkW/YsEGOLsnFTTfdlNCxev/998s2yxxZ7F//+tc3vvEN7/1p8XNa8HhS+NmZbhsW81kctS7/B4lc5crM3/72t5Ez/TeXJhhK23q27xVFKQDWFxBkwn6l0fkksb4gk5ub+93vfjfyewrWhFTQUChk32xoaCguLh45cqR0UXI+kp7dmi+1RA797OzsuXPn7t27N3L8KKdOnXJurfTg0oCH+lRVVUW+/llaWrpjxw7vYN3W4jas23y36Dw2L2q93vPdxvcZV3Ibn+g4HsEq3/PWIJmZmXIpKee+yFf43TZGinE4HJYnl5zK7Q+593PPSz340Y9+NH78eBlWKpY10//z3ZqQCyG5ts7KypL26KWXXrJmRj3ZIyMaM2aM1Lx33nlH5i9evNj6wJNFtsHqHb2TFTOWlpaWO++8U04d55577tixY2+99dZXX33V3hu///3vL7vssv/rIxOPPPJI3AGHOSqckKIlI8tWyQFw+eWX2/+B6c9//rPMl90o+2HSpEn33HNPzANjWLyTpNvOj9qfkXzmyy1et5tuw0aSS1ZJ/YgRI+TS6IEHHnDusUSPJVng29/+tuwc2UU/+clPZOSYIbhlwR5Hrl6kg7e+LfjQQw8ldKyeOXNGYrn44ovl6Sl9uV0y3Panxc9pwfmkSGhnum1YzGdx1Lr8HySyMydPnvzZZ59FzvSO3TRDaVsBAIEYWoVqcP3zn/+UVnWwt2KQ9fT0OL/mNaBuvPHGxx9/PJVrDBzPMQBQhwYrrsrKysOHDx88ePCaa6753ve+N9ibM8gaGxvtbwsOtDNnzjz88MNTp061/1PDEMVzDAPC+S6bgSf0IbGRiUrLoBA4joq47r///vHjx5933nl33333EP03AQH63Oc+99BDD6VmXXJwTpw4UVq61Kxu4PAcAwAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAETEuDFfO76wAAIMUGuyNIETVxqskoAADG0lOOTYkzqr3NyclxLtPb27t69epQKJSbm1tdXe39c3LO8YPbWAAAkAw95djEOLds2bJy5Urn/K1bt7r9rH1cejIKAICx9JRj4+Ls6uqaNGnS+++/77xrxowZu3btsqZloqSkxP+wejIKAICx9JRj4+Lctm3b0qVLY96Vk5PT3t5uTbe1tYVCIf/D6skoAADG0lOOzYrzzJkzF110UXNzc8x7hw8f3t3dbU3LREZGRtQCfG0BAACT6SnHZsX55JNP3njjjW738goWAABDmp5ybFacl1xyySuvvOJ2L5/BAgBgSNNTjg2Kc+fOnVdeeaVzvp2Muro6vkUIAMDQpaccGxRnaWnpjh07nPPtZPT29q5atSrUp6qqiv+DBQDA0KKnHKuJU01GAQAwlp5yrCZONRkFAMBYespxOsfJv2kAAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKdznPybBgAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynM5x8i1CAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynE6x8m/aQAAwCh6yrGaONVkFAAAY+kpxwbFuW/fvnnz5o0ePXrcuHH19fXOBfrzipSejAIAYCw95diUOPfv319QUPDoo48eP368paVl/vz5zmX6kxU9GQUAwFh6yrEpcUpH9eCDD3ovQ4MFAMCQpqccmxJnXl7e2rVr8/Pzx4wZs3jx4hMnTjiXkayEw+Hs7OyioqLa2tqenh7/4+vJKAAAxtJTjk2JMyMjY+HChUf7lJeXL1myxG3Jzs7OxsbGkpKSysrKqLuGeRrgCAAAQBx6yrEpcebk5LS1tVnT0mOFw2Hv5VtaWkKhkP/x9WQUAABj6SnHpsRZWloqfZU1feTIkbgNVmtra15env/x9WQUAABj6SnHpsRZX1+/YMEC+y3CpUuX2nfZyZD5TU1NXV1dzc3NZWVlFRUV/sfXk1EAAIylpxwbFOe6devC4XBubu6iRYsiP+RuJ6OhoaG4uDgzM7OwsLCmpqajo8P/4HoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlO5zj5Nw0AABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU43SOk3/TAACAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO0zlOvkUIAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOU7nOPk3DQAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjg+Lct2/fvHnzRo8ePW7cuPr6eucCvb29q1evDoVCubm51dXVctP/4HoyCgCAsfSUY1Pi3L9/f0FBwaOPPnr8+PGWlpb58+c7l9m6deu0adPe6yMT27Zt8z++nowCAGAsPeXYlDilo3rwwQe9l5kxY8auXbusaZkoKSnxP76ejAIAYCw95diUOPPy8tauXZufnz9mzJjFixefOHHCuUxOTk57e7s13dbWFgqF/I+vJ6MAABhLTzk2Jc6MjIyFCxce7VNeXr5kyRLnMsOHD+/u7ramZUIeErXAME8DHgMAAPCkpxybEmdOTk5bW5s1LT1WOByOuQyvYAEAMHTpKcemxFlaWip9lTV95MiRmA0Wn8ECAGBI01OOTYmzvr5+wYIF9luES5cute+yk1FXV8e3CAEAGLr0lGOD4ly3bl04HM7NzV20aFHkh9ztZPT29q5atSrUp6qqiv+DBQDA0KKnHKuJU01GAQAwlp5ynM5x8i1CAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx8HH2dHRsWbNmsLCwqysLPm7bt26zs7OwNeSKD0ZBQDAWHrKcfBxVlRUXH311U1NTdJpyd85c+bce++9ga8lUXoyCgCAsfSU4+DjzMvLa21ttW/KtMwJfC2J0pNRAACMpaccp3ODxb9pAADAKHrK8YC8RVhWVvbGG290dHTIX5nmLUIAAHBWUzkekA+519TUXHjhhVlZWfJ37dq1fMgdAACc1VSO1cSpJqMAABhLTzlWE6eajAIAYCw95Tj4OJuamkpKSkaNGmXUB8xN2AYAAJTTU46Dj3P69OkbNmz45JNPAh85UXyLEAAAo+gpx8HHmZWVdfr06cCH7Sc9GQUAwFh6ynHwcV5wwQUHDhwIfNh+0pNRAACMpaccBx/nQw89dMsttxw+fDjwkftDT0YBADCWnnIcTJzD4glkLf3cwsHeBAAAtNNTjtXEqSajAAAYS085Dj7Oc845J/Ax+09PRgEAMJaechx8nOeff/5///vfwIdNgmlvUwIAoJyechx8nFu2bLntttsOHjzY29sb+OBJ05NRAACMpaccBx8nH3IHAAAx6SnHpsTppyHrT9OmJ6MAABhLTzk2JU4/e7w/WdGTUQAAjKWnHJsSJw0WAABpT085NiVO2ePhcDg7O7uoqKi2tranpye5ZTzGD25jAQBAMvSUY7Pi7OzsbGxsLCkpqaysTGIZw/+bPAAAyukpxybG2dLSEgqF+r9MJD0ZBQDAWHrKsYlxtra25uXl9X+ZSHoyCgCAsfSUY1PiLC8vb2pq6urqam5uLisrq6iosO+yk+GxTFx6MgoAgLH0lGNT4mxoaCguLs7MzCwsLKypqeno6LDvspPhsUxcejIKAICx9JRjNXGqySgAAMbSU47TOU6+RQgAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085Tuc4+TcNAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4nePkW4QAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU43SOk3/TAACAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzk2JU4/b+f19vauXr06FArl5uZWV1fLzYTGD2hLAQBAkvSUY1Pi9LPHt27dOm3atPf6yMS2bduCHR8AAAwoPeXYlDj97PEZM2bs2rXLmpaJkpKSYMcHAAADSk85NiVO2ePhcDg7O7uoqKi2tranp8e5TE5OTnt7uzXd1tYWCoUSGj+YDQUAAMnSU47NirOzs7OxsbGkpKSystJ57/Dhw7u7u61pmcjIyIhaYJinAd96AADgSU85NjHOlpaWmK9O8QoWAABDmp5ybGKcra2teXl5zvl8BgsAgCFNTzk2Jc7y8vKmpqaurq7m5uaysrKKigr7LjsZdXV1fIsQAIChS085NiXOhoaG4uLizMzMwsLCmpqajo4O+y47Gb29vatWrQr1qaqq4v9gAQAwtOgpx2riVJNRAACMpaccp3OcfIsQAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzOcfJvGgAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcTrHybcIAQAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcfpHCf/pgEAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ybFac7e3tBQUFbnu/P2/56ckoAADG0lOOzYpz+fLlGzdu9Giwkh5ZT0YBADCWnnJsUJzNzc2FhYUdHR00WAAApCU95digOK+//vrHHnvsrPvel/nhcDg7O7uoqKi2tranp8f/4HoyCgCAsfSUY1PifOGFF6644ore3t6z8fZ+Z2dnY2NjSUlJZWVl1F3DPA3g1gMAAB/0lGNT4pw6derLL79sTfvZ+y0tLaFQyP/4ejIKAICx9JRjU+JM9AWn1tbWvLy8hMbv3wYCAID+0lOOTYwzau/bN8vLy5uamrq6upqbm8vKyioqKpIeEwAApJ6ecmxinG4NVkNDQ3FxcWZmZmFhYU1NTUdHR9JjAgCA1NNTjtXEqSajAAAYS085Tuc4+RYhAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWEycAADDAYHcEKaIlzoGWmiMmZcdlOoXDWjSvJWUrYi2sJW1WpKcBGmjsx2Ck2XGfTuGwFs1rSdmKWAtrSZsV0WAFhf0YjDQ77tMpHNaieS0pWxFrYS1psyIarKCwH4ORZsd9OoXDWjSvJWUrYi2sJW1WRIMVFPbjUMJxbyxSYyxSYybyYixSExT241DCcW8sUmMsUmMm8mIsUhMU9uNQwnFvLFJjLFJjJvJiLFITFPbjUMJxbyxSYyxSYybyYixSExT241DCcW8sUmMsUmMm8mIsUhMU9iMAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwRpMw/4/n/Ntvb29q1evDoVCubm51dXVctN7PhIVMwXPP//81VdfnZWVlZ+ff9dddx07dsz5QFIz0GKmZufOnbNmzcrMzJTU3HHHHUeOHHE+kNQMKI+zVnt7e0FBgdsJjbwMtJipGfa/Yj6Q1PQTDdbgczu4PRqsrVu3Tps27b0+MrFt2zbv+UhOVArmzp27a9euU6dOHT16dNmyZTfccIPzIaQmNaJSM2fOnO3bt584ceLkyZMbNmyQPtj5EFKTAjHPWsuXL9+4caPbCY28pIazwYr7EFLTTzRYg89/g2XPmTFjhlR6a1omSkpKvOcjOR7nICnko0ePdi5JalLDIzXSAWdnZzuXJDUp4MxLc3NzYWFhR0eHW4EnL6nhv8EiNUGhwRp8STRYOTk57e3t1nRbW1soFPKej+R4nIN27Ngxe/Zs55KkJjXcUnP69OlNmzZFvrhIalLJmZfrr7/+sccec95FXlLMuf/D4bBcihQVFdXW1vb09DiXJDX9RIM1+JJ4i3D48OHd3d3WtExkZGR4z0dy3FKwd+/eSZMm7d+/33kXqUmNmKmxPk1y3nnnvf322857SU0KROXlhRdeuOKKK6zP6Lg9m8hLasTc/52dnY2NjSUlJZWVlc57SU0/0WANviQaLC4sUiNmCnbv3j1hwoQ9e/bEfAipSQ23Z8fHH3+8fv36mTNnOu8iNSkQlZepU6e+/PLLMe+ykZfU8CgoLS0tMXcvqeknGqzBl0SDxVvjqeFMwZNPPjlu3LjXX3/d7SGkJjU8nh3SY0V+PM5GalLA+6tqMbNGXlLD4ynT2tqal5fnnE9q+okGa/Al8Rmsurq6mF/icJuP5ESlYPPmzRMmTHjzzTc9liQ1qRGVmkWLFjU3N3d3dx86dGjFihUxP4NFalLAz0eno26Sl9SI2v/l5eVNTU1dXV3yxCkrK6uoqHAuSWr6iQZrMLld23nMtyZ6e3tXrVoV6lNVVRX570lizkeiYqbAeTl+6tQp+y5rgtQMtJipaWhoKC4uHjlyZEFBwbJlyz788MPI5a0JUjOg4r5S5dZgkZeB5vGUyczMLCwsrKmp6ejoiFzemiA1/USDBQAAEDAaLAAAgIDRYAEAAASMBgsAACBgNFiDxu2XgxP9fU0/P3Pr8fCzPn5b2mMxn2sHAEAVGqxB4/bLwYn+vqafn7n1eLgtboMVczGfawcAQBUaLCNE/nJwf/63W9TP3EaK+/DkGiyfawcAQBUaLCNE/nJw0r9O4PyZ20hxH97PBst77QAAqEKDNfiifjk4ud/XtD4d5fYzt3EffrZ/DVbctQMAoAoN1iBz/nJw0q9gRf3MbdRn0hN9Bcvtk+9ufZjHj+wCAKANDdZgivnLwf35DJbbz9z6eXj/P4PlsXYAAFShwRo0br8cnOjva3r8zK2fYW3JNVg+1w4AgCo0WIPG7ZeDE/19TY+fuY3k8fOccX+l1WMxn2sHAEAVGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAE7P8Bx8Da/rFQuegAAAAASUVORK5CYII=)
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