Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit311-12-20020705_165600_20020705_213600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/05 |
Start Time | | 2002/07/05 16:56 |
End Time | | 2002/07/05 21:34 |
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 | | -30.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 143.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit311-12-20020705_165600_20020705_213600-constBx0 |
Minimum Dst Value | | -8 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAVHVlIE1hciAxMiAxMzoxMToxMCBFRFQgMjAxOc1PQE8AAAHPdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTItMDEtMjAwMjA3MDVfMjEzNjAwXzIwMDIwNzA2XzAyMjAwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNy0wNVQyMTozNjowMC4wMDBaIiwgIm1heCI6IjIwMDItMDctMDZUMDI6MTg6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjozLjE3MTk1OTk5OTUsICJtYXgiOjEwLjU2OTI0MDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX2br6syAAAABGdBTUEAAK/INwWK6QAAIUhJREFUeJzt3XtwFeX5wHHkGqBNE0iJiQSIFCodoMhoB0hAQECpRdF2bLiD1NIqjLTlKrfSVmk7hVEHAUtjxxmUix3MaMFOx0o7pVYGy9BSgyDIJVjCNdw0gBD6TPb329m+Z3fP7sm+mz1nv58/mD179vo8u/s8Z/eE0+QGAAAAAtWksTcAAAAg09BgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDA0r7BatIk7XcBAMKn4+L5zjvvdOvWLemSday6sWoBNQhO0v7IcDq4OegBwIWOi2RpaenmzZsbZdU0WAHKyJ0KX9oH0e9HpS1btgwaNKhVq1YFBQWTJk2qrq62TmmwTv/mm28OHTo0KytLpp86derp06dt11JXVzdnzpycnJzc3Nx58+bJS/fFKpzW4rRYp/F+l9Pkf2VnZ/ua3mWP3ENnuwSX1OzevXvEiBFt27YtLCwsLy9PLThpHXmnINjyu5FBBcFX5HVQjigzvDfddFN+fn5ZWVlVVZXL7Cls//Hjxx977LEuXbq0aNFC5rr33nvlMLbdGGWkDHzlK1+xrkKGe/ToYZ3AfGvv3r0PPfRQu3btWrZseccdd7z66qvG+HPnzsl2duvWrXXr1rL2Bx544K233kq6zYkbk/IEieRIvnz5csNXnQLdPYFTFlJbb1Bbm/RqHGarRFumSPtw+L1GDBkyRD5g1dTUXLhwYenSpVJX3KcfPnz41q1bL168eOLEiWnTpt133322a1mzZk3fvn0/qicDa9eu9bWdTmtxWqzTeL/LsVqxYsWsWbPcp/d1/iQNncfU7Nu3r6ioaN26dWfPnj1y5MiYMWNSC46vjYxa5J2CYMvvRgYVBF+R1yGxwTIGrl+//vHHH//oRz8qLS11md3v9h87dqxz586y2MrKyk8//VQa0zfeeOOee+6x3RhlpAxIkX799dfNt1577TUZk9hg7d+/X7rDX/3qV5J36V3efffdb37zm8Zbsq5HH31UJrhy5crJkyc3btx41113uW+z7cakPEHKs6Rdg+WShcZtsJIujQarEUU3HHIQP/HEE/n1ZMD8VCQplILUsWNH+VRqvPzFL37RoUMH+WDx+OOPy4XGnOzG/94nSFyFVJQ2bdooI10OESn8bdu2tX2rf//+UqKMYRkoKSnxvliXtTgtNunqPC7HJHErLi6WguE+fcrnj23oXJZmTY00EytXrkycpiHBSbqRUYu8UxBs+d1IvxvfwMh/9tlnixYt6tSpU05OjlQsY6TL+b569WrpY7Kysvr167dnzx5j/FtvvXX77bfLSHnL6IQST3blADt37lzr1q1l4Hvf+96LL75oji8vL5cx7ttve6w+8sgj8+fPt91Hp1ms27Zp0ybrKmTvXn311cSNHzt27M9+9jPbVcjuyE45bYB1pS4XyRsOwXe/ePqdJfG6bZtWp8PASj5sSHMj+5Kdnf3ggw+eOnXKy+64r1QOAFmgTC+Bst1flyw4HW/mSy/HqnwG+OlPf9qlS5fc3NwpU6ZcunTJNm5OnK6ltieFdYFJg+m0YYlnceK6vBTxgQMHrl+/3txg6V8LCgq8HNVpIboNliRv2LBhVfWGDBmyePFiY7zk5oEHHpDPo+ZLmexYPRn48Y9/bI5XBhRyoCxbtizpbRWrioqKwYMH274lR6d5aMpHSTnmvC/WZS1Oi026Oo/LMclpLydP0t2RvcjLy5PWp2fPns8+++y1a9dS2CmTx9TIySkHg5x1chWYOHFiTU2N+0Z6CU7SjYxa5J2CYMvvRvrd+AZGXgqVrOLAgQNnz56dOXOmMdLlfB89evShQ4fkqFi6dKnZkUgofve738klW67IU6dONSe2rshaJI4fPz537lzjBo90GIMGDdq4caMMb9iwQYavXr3qvv22x6psg9Qn2310msV6XZKt6tat29/+9jd5uW3bNhmWMYkXLkn9wYMHbVcxcuTIhx9+ePv27Z9++qnTZtzwcJF0Cb7TMv3Oknjdtk2r02Ktevfu/fbbb8suSxmePn36d77zHe+7Y7vShQsXSiQ/rjdixAjbXXDJQtIGy8uxunz58rvvvvujjz6Sk2L8+PE//OEPbePmxCVTiVtlXWDSYDptmO1ZrKzLSxH/wx/+0KNHDznyjbckPj//+c/ddzaNRLfBuvXWW99//31jWD5qdO3a1RiW3Bw+fNicTF6ak/373/+2TqYMWBldtnyk+/DDDxPfst2eXbt2FRcXO11PmzZtalyjhQw0a9bM42Ld1+K02KSr87gcgxzc3bt3r6ys9Lg7cqXYuXOnXJ7M88rXTpk8pkbWLif2iXplZWWTJ09238ikwfGykVGLvFMQbPndyKCC4DHyX/rSl8ybByaX8116I2P4k08+MW5BiaKioueee+7o0aPWhSTWEiv5CC6XCOOt6upq2dN58+bJv+a3/fweOc2bN7d2Nom3ChJnUd594YUX7r///hv1D/t+/etfJ05grKW2ttZ2A86fPy817Ktf/WpWVpYEcNasWbYf/ZNeJF2C77TvfmdJvG7bptVpsU4kAh07dvS+O04r3bt3rzEsM9rugksWkjZYXo7V22677YMPPjCG5YDs3LmzOZk1bk58NVhOC7QNptOG2Z7Fyro8FvE777zz5ZdfvlH/HFY2QFLjtC9pJ7oNllwyzANaBuSlMSy5Ub5C7jSZMqCQg2nJkiUDBw5UxttOL58vO3XqtGPHDutk1oup3ztYyuxOa0ntVoH35RjkQ/yoUaOsY7zcipBPY15uDiVujMljamRjZBuMYWkv8vLy3DcyhTtY0Y+8UxBs+d3IoILgcuPTerRbT22Ty/luncx8+Y9//GP06NHt27fv1q2b+VzPaWJjexYsWGD9zqV8npYJzGeULtvv5Oabb3b52NCiRQvlCZfsl/Rw1slkgoKCgldeeUX+NZ+yKctxuXdikkuidE6TJk2y/ZJo0oukx+Bb+Z0l8bqtvOu+WCv5dCd5lHbZOKjMPtjv7linNzMl0wd+B8vLsSrdnvXDgPU48fInU74aLOsCkwbTacNsz2JlXR6LeEVFxZe//OVr166NGTNGOlGnHUlH0W2wPH5Csn44k4HEyVweXUsh9/LFIKmChYWF7733nsvWNvw7WLZrSeHLLr6WY+jTp8/27dt97Y6oqqqSi04KO2VyiYk1NaWlpdJSGMPyEcrsLYL6DlZaRN4pCLb8bmRQQfAYeSkzvu5gWSdTXspl+ve//700OsZL5WRXJr5w4YJ502L37t3yWXnz5s233HKLea/U75EjDc28efOUkeZKe/To8e6771rf+vvf/96lSxdlsmXLljVv3tx8LJJYrceOHfv000+7b4mhpqbm85//fOL4pBdJp+C7XDxTuIPl5aWXO1gy8qWXXjpz5oyUZPk3MWJ+jyUvd7BcsmBt1My7L8ePH/d1rEqHcejQIZeFu3OZzP2kSBpMpw2zPYuVdXlMhESmV69es2fPlrPD/IJgZohugyUfN83Ht9JiL1y40BifeJKMGDHC+HqBDCR+FeCLX/yi9RHMhAkT5OXVq1ePHj06ffr0pN/BWr58uXysN08/J6tXr27IXxE6rcVpsU7j/S7nRv1/jjBgwACP05eVlcl5IueAxFCyM2PGjBR2yqTExCk15eXl48aNM5+Omd9Y8hscXxsZtcg7BcGW340MKggeI//UU08NHjz44MGD1m9veD/fjQEJgly75VCUoiWtoTFSOdmt854+fXrRokX9+vW7Uf8lP7mg/+Uvf5Hh119//fbbbzee9Llsv+35e/jwYVm1+VeEsjtvvPGGOeXzzz8va/nzn/98vt62bdt69uz5y1/+0mWBN+warP3790tVXrFihUTm8uXLO3bsMP9+7a677tq4caM03HLWyDZPmzZt5MiRtst0v0g6BV+Jp5XHfDkF0Oml02KtJBqvvfaahEIOIQlFYsT8HksyvfkdrHvuucd2F1yyYE4vHfnSpUvl6JJc3H///b6O1WeeeUa2WcbIZP/617++/e1vu8dT4TKZy0lxw0MwnTbM9ixW1uX9IJEPeDLyN7/5jcedShfR3YHa2lqp38YfIMiAeacx8SQx/kAmNzf3+9//vvXvFIwBKR45OTnmy02bNvXu3btly5ZFRUVyPZKe3booK9uR4uLFi4lbKz24NOA59ebOnWt7U9e6WIXTWpwW6zTe73Ju1N8aqaio8Lg7RvRatWoln0Xk5HH6UkLS0NnGxCU1UhLy8vIkxdKEmd/v9huctI68UxBs+d3IoILgMfLSDTz55JMdO3aUfZGKZYz0fr4bA+vXr5fP1llZWdIevf3228ZI5WS37lG7du2k5h04cEDGT5w40fjCk0G2wWhY3c9i2305cuTII488IlWzefPm7du3f/DBB9955x0zGr/97W/vuOOOL9STgZdeeinpApskVDghRUuWLFslZ8edd95p/g9Mf/rTn2S8hFHiUFxc/Pjjj1vPGusy3S+STsFX4mnlMV9O++v00mmxVvLJRFLfokUL+VTw3HPPJUbM77EkE3z3u9+V4EiIfvKTn8iSbXfBKQvmcuTDp3Twxl8Lrlq1ytexev36ddmX2267Ta6u0pebVwaneFr3IvFaapV4UvgKptOG2Z7Fyrq8HyQSzG7dun322WfKrrnve/Sl/Q4AAFxkQKEKzT//+U9pVRt7KxrZtWvX5ANDmGscNWrUK6+8EuYaw8GJBwCZjAYrqZkzZx4/fvzw4cN33333D37wg8benEa2c+dO868Fdbt+/foLL7zQq1cv839qyCSceGioxAdMEbygp8VG+pWRO4XAcVQk9cwzz3Ts2LFDhw6PPvpoJv03Aan53Oc+t2rVqnDWJQdnly5dpKULZ3Uh48QDAAAIGA0WAABAwGiwAAAAAkaDBQAAEDAaLAAAgIDRYAEAAAQsLg2W7R+0AwCAoDR2qY+WuISDxAMAoA91VpHJ4aCzBgAgHNRZRVzCQeIBANCHOquISzhIPAAA+lBnFZkcDh4RAgAQDuqsIi7hIPEAAOhDnVVkcji4gwUAQDios4q4hIPEAwCgD3VWEZdwkHgAAPShzioyORw8IgQAIBzUWUWEwmHbCdXV1c2ZMycnJyc3N3fevHnyMuWFB7GNAADABnVWEblwKBlas2ZN3759P6onA2vXrvW1KO5gAQAQAuqsInLhUDLUv3//rVu3GsMyUFJSEshiAQBAgKizisiFQ8lQdnb2qVOnjOGTJ0/m5OQEslgAABAg6qwicuFQMtS0adOrV68awzLQrFkz93ldaNxoAADijTqriFw4uIMFAEDaoc4qIheOAL+DxR0sAADCQZ1VRC4cSoZWr17t9FeEvnJJ4gEA0Ic6q4hQOGxvONXV1c2ePTun3ty5c63/DxYNFgAAEUGdVWRyOHhECABAOKiziriEg8QDAKAPdVaRyeHgDhYAAOGgziriEg4SDwCAPtRZRSaHgztYAACEgzqriEs4SDwAAPpQZxVxCQeJBwBAH+qsIpPDwSNCAADCQZ1VxCUcJB4AAH2os4pMDgd3sAAACAd1VhGXcJB4AAD0oc4q4hIOEg8AgD7UWUUmh4NHhAAAhIM6q4hLOEg8AAD6UGcVmRwO7mABABAO6qwi6uGoqamZOHFiu3bt8vLylixZkvJySDwAAPpQZxVRD8fkyZPLysqq6z388MMvvvhiassh8QAA6EOdVUQ9HO3btz9x4oQxLD1WaWmp93l5RAgAQDios4qoh0MarJMnTxrD0mnl5OSkthwSDwCAPtRZRdTDMWHChHHjxp2oN3bs2ObNm7tM3MRVaNsMAEDcUGcVUQ/HmTNnpK/Kzc3Nz89/6qmnbr755tSWQ+IBANCHOqtIp3A8//zz0mylNi+JBwBAH+qsIurhGDduXFVVVU1Nzfr164uKij744APzraS55BEhAADhoM4qoh6O8vLywsLCNm3aDB8+fNeuXda3fOWSxAMAoA91VpHJ4eAOFgAA4aDOKuISDhIPAIA+1FlFXMJB4gEA0Ic6q8jkcPCIEACAcFBnFXEJB4kHAEAf6qwik8PBHSwAAMJBnVXEJRwkHgAAfaiziriEg8QDAKAPdVaRyeHgESEAAOGgziriEg4SDwCAPtRZRSaHgztYAACEgzqriEs4SDwAAPpQZxVxCQeJBwBAH+qsIpPDwSNCAADCQZ1VxCUcJB4AAH2os4pMDgd3sAAACAd1VhH1cBw8ePAb3/hGTj0ZkJepLYfEAwCgD3VWEfVw9O/ff8GCBTX15s+fLy9TWw6JBwBAH+qsIurhaNOmzYULF4zh8+fPy0vv8/KIEACAcFBnFVEPx7e+9a3FixefO3eupqZm4cKF8jK15ZB4AAD0oc4qoh6OY8eOde7c2bgFJQMff/yxy8RNXIW2zQAAxA11VhH1cAwbNmz+/Pnmd7DkZWrLIfEAAOhDnVVEPRytW7dO+TtYViQeAAB9qLOKqIejf//+CxcuNO5gPfnkkyUlJeZbSXPJI0IAAMJBnVVEPRz79++/9957v1Bv5MiRBw4cMN/ylUsSDwCAPtRZRSaHgztYAACEgzqriEs4SDwAAPpQZxWZHA7uYAEAEA7qrCIu4SDxAADoQ51VxCUcJB4AAH2os4pMDgePCAEACAd1VhGXcJB4AAD0oc4qMjkc3MECACAc1FlFXMJB4gEA0Ic6q4hLOEg8AAD6UGcVmRwOHhECABAO6qwiLuEg8QAA6EOdVWRyOLiDBQBAOKiziriEg8QDAKAPdVYRfDhqa2sXLlzYtWvXrKws+Xfx4sWXL18OfC1+kXgAAPShziqCD8eMGTOGDh26Z88e6bTk3yFDhjzxxBOBr8ULHhECABAO6qwi+HDk5+dXVVWZL2VYxqS8NKVJys7OTnk5KW8DAABwR51VRL3BslqxYsWsWbO8T88dLAAAwkGdVWh5RDhs2LD333+/trZW/pXhQB4RXrlypbi4+NixY6nNTuIBANCHOqvQ8iX3BQsW3HrrrVlZWfLvokWLAvmS+9q1a6dMmZLy7CQeAAB9qLOK9AjH9evXu3fvXllZ6T5ZE1fhbCoAADFEnVWkRzg2bNgwatSohiyBxAMAoA91VhF8OPbs2VNSUtK6desA7x716dNn+/btfufiDhYAAOGgziqCD0e/fv2WLl36ySefBLXALVu2DBgwIHG8r1ySeAAA9KHOKoIPR1ZW1qVLlwJcYGlpaUVFReJ4GiwAACKCOqsIPhydO3c+dOhQ4ItNAY8IAQAIB3VWEXw4Vq1aNXr06OPHjwe+5IYg8QAA6EOdVQQTDvf/H6Gxgh6FbQAAIA6os4q4hIPEAwCgD3VWEXw4brrppsCX2XAkHgAAfaiziuDDccstt/znP/8JfLEp4BEhAADhoM4qgg/HihUrHnroocOHD9fV1QW+8JSReAAA9KHOKoIPB19yBwAgbqiziriEg8QDAKAPdVYRl3CQeAAA9KHOKjI5HDwiBAAgHNRZRVzCQeIBANCHOqvI5HBwBwsAgHBQZxVxCQeJBwBAH+qsIi7hIPEAAOhDnVVkcjh4RAgAQDios4o0CMfu3btHjBjRtm3bwsLC8vLy1BZC4gEA0Ic6q4h6OPbt21dUVLRu3bqzZ88eOXJkzJgx3uflDhYAAOGgziqiHg7pqFauXNnw5ZB4AAD0oc4qoh6O/Pz8RYsWFRQUtGvXbuLEiTU1Nakth8QDAKAPdVYR9XA0a9Zs/PjxJ+qVlZVNnjzZZWLb35nmESEAALpRZxVRD0d2dvbJkyeNYemx8vLyUlsOiQcAQB/qrCLq4SgtLZW+yhiurq721WBxBwsAgHBQZxVRD0d5efm4cePMR4RTpkwx3/KVSxIPAIA+1FlFGoRj8eLFeXl5ubm5EyZMsH7JPWkuuYMFAEA4qLOKuISDxAMAoA91VhGXcJB4AAD0oc4qMjkcPCIEACAc1FlFXMJB4gEA0Ic6q8jkcHAHCwCAcFBnFXEJB4kHAEAf6qwiLuEg8QAA6EOdVWRyOHhECABAOKiziriEg8QDAKAPdVaRyeHgDhYAAOGgziriEg4SDwCAPtRZRVzCQeIBANCHOqvI5HDwiBAAgHBQZxVxCQeJBwBAH+qsIpPDwR0sAADCQZ1VRD0cQTVJJB4AAH2os4qohyOohJF4AAD0oc4qoh6OBt614hEhAAAhoM4qoh4OSVheXl6bNm169uz57LPPXrt2LeXlBLthAADARJ1VpEc4Ll++vHPnzpKSkpkzZ7pM1sRVaFsLAEDcUGcV6RSOI0eO5OTkpDYviQcAQB/qrCKdwlFVVZWfn5/avCQeAAB9qLOKqIejrKxsz549V65cqaysHDZs2IwZM8y3kuaSR4QAAISDOquIejg2bdrUu3fvVq1ade3adcGCBbW1teZbvnJJ4gEA0Ic6q8jkcHAHCwCAcFBnFXEJB4kHAEAf6qwiLuEg8QAA6EOdVWRyOHhECABAOKiziriEg8QDAKAPdVaRyeHgDhYAAOGgziriEg4SDwCAPtRZRVzCQeIBANCHOqvI5HDwiBAAgHBQZxVxCQeJBwBAH+qsIpPDwR0sAADCQZ1VxCUcJB4AAH2os4q4hIPEAwCgD3VWkcnh4BEhAADhoM4q4hIOEg8AgD7UWUUmh4M7WAAAhIM6q0iPcJw6daqoqKghySPxAADoQ51VpEc4HnvssaeffpoGCwCAaKLOKtIgHJWVlV27dq2trfWbPB4RAgAQDuqsIg3C8fWvf/3ll1++0bDkkXgAAPShziqiHo4//vGPX/va1+rq6m54SF4TV6FsLwAAcUSdVUQ9HL169frrX/9qDHMHCwCAaKLOKqIejobciOIOFgAA4aDOKtIpHEry/DZbQW8OAAD4P9RZRTqFgwYLAIBoos4qMjkcPCIEACAc1FlFXMJB4gEA0Ic6q8jkcHAHCwCAcFBnFXEJB4kHAEAf6qwiLuEg8QAA6EOdVWRyOHhECABAOKiziriEg8QDAKAPdVaRyeHgDhYAAOGgziriEg4SDwCAPtRZRVzCQeIBANCHOqvI5HDwiBAAgHBQZxVxCQeJBwBAH+qsIpPDwR0sAADCQZ1VxCUcJB4AAH2os4q4hIPEAwCgD3VWkcnh4BEhAADhoM4q4hKOJgAAQKfGLvXRQjg8CeG4CefQZEcitYpMWgs7ErW1ZMyOhLMWdiSCa0l3xMgTzopIrSKctWTMjoSzFnYkamvJmB0JZy3sSATXku6IkSecFZFaRThryZgdCWct7EjU1pIxOxLOWtiRCK4l3REjTzgrIrWKcNaSMTsSzlrYkaitJWN2JJy1sCMRXEu6I0ZRwfEaNWQkgkhK1JCRqCEj0UEmooKzImrISASRlKghI1FDRqKDTEQFZ0XUkJEIIilRQ0aihoxEB5mICs6KqCEjEURSooaMRA0ZiQ4yERWcFVFDRiKIpEQNGYkaMhIdZAIAACBgNFgAAAABo8ECAAAIGA0WAABAwGiwAAAAAkaDBQAAEDAaLAAAgIDRYGnx5ptvDh06NCsrq6CgYOrUqadPn3Yfb1VXVzdnzpycnJzc3Nx58+bJS/fx8MIp8lu2bBk0aFCrVq1k/KRJk6qrqxPnJSOaNCSwJEUHl+g1+X9+5yUjDeEUPUpJWqDB0mL48OFbt269ePHiiRMnpk2bdt9997mPt1qzZk3fvn0/qicDa9eudR8PL5wiP2TIkM2bN9fU1Fy4cGHp0qVyzUqcl4xo0pDAkhQdkkbPpcEiIzo4RY9SkhZosLSTyt22bduk480rV//+/eXMMYZloKSkxH08/HLKiFyt2rRpY74kI7qlEFiSolXS6CU2WGREKy/Ro5REFg2WdhUVFYMHD0463jwrsrOzT506ZQyfPHkyJyfHfTz8ss3IpUuXli1bZv0gSEZ0SyGwJEWrpNFzabDIiA5eokcpiSwaLL127dpVXFy8b98+j+NF06ZNr169agzLQLNmzdzHwxfbyBtfLunQocOHH36YOAsZ0aQhgSUpOiSNnssjQjKiQ9LoUUqijAZLo23btnXq1GnHjh0exxv42KGPS+TPnz+/ZMmSgQMHJr5FRjRpSGBJig4p3MFKOi8ZaQj36FFKIo4GS5cNGzYUFha+9957HsebeHCuSdLIS49l+90sMqJJQwJLUnRI4TtYSeclIw3hEj1KSfTRYGmxfPly+WCxd+9ej+NvWK5cq1evtv0TD6fx8MIp8hMmTKisrLx69erRo0enT59u+x0sMqJJCoElKVoljZ7Ld7DIiA5O0aOUpAUaLC2aJLh48aLL+BuWs6Kurm727Nk59ebOnWv9z0tsx8MLp8hv2rSpd+/eLVu2LCoqmjZt2pkzZ6yzGANkRJMUAktStHKPvJV1vPu8ZKQhnKJHKUkLNFgAAAABo8ECAAAIGA0WAABAwGiwAAAAAkaDBaBxOP1grd8fqfXyw7cusytfFs7OzvY1u9i9e/eIESPatm1bWFhYXl4eSHAApDsaLACNw+kHa/3+SK2XH751md1qxYoVs2bN8jX7vn37ioqK1q1bd/bs2SNHjowZM6YhMQGQMWiwADQ+6w/WNuQ/SHT6JW8vs1+5cqW4uPjYsWO+ZpeOauXKlR52EUC80GABaHzWH6xtyE98OP22upfZ165dO2XKFKctdJo9Pz9/0aJFBQUF7dq1mzhxYk1NTbJ9BRALNFgAGpnyg7Up/0ityw/fJp39+vXr3bt3r6ysdNpIp9llYPz48SfqlZWVTZ482dtOA8hwNFgAGlPiD9amdgcrcTnKfzvuPvuGDRtGjRplHeNxdhkvL41h6bHy8vL8xwBABqLBAtBobH+wNoXvYCX94Vv32UWfPn22b9+ewuylpaXSVxnD1dXVNFgADDRYABqH0w/W+v2RWpcfvvWyWLFly5YBAwakNnt5efm4cePMR4Qu3+ICECs0WAAah9MP1vr9kVqXH761cvmN29LS0oqKCvetdZl98eLFeXl5ubm5EyZM4EvuAAw0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQMBosAACAgNFgAQAABIwGCwAAIGA0WAAAAAGjwQIAAAjYfwGsySePuEl+qQAAAABJRU5ErkJggg==)
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