Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit389-09-20030106_164200_20030106_212700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/06 |
Start Time | | 2003/01/06 16:42 |
End Time | | 2003/01/06 21:25 |
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 | | 14.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.28 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 156.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit389-09-20030106_164200_20030106_212700-constBx0 |
Minimum Dst Value | | -7 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxMToyNzoyMSBFU1QgMjAxOUsYUuwAAAHPdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODktMTAtMjAwMzAxMDZfMjEyODAwXzIwMDMwMTA3XzAyMTMwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMyB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMy0wMS0wNlQyMToyODowMC4wMDBaIiwgIm1heCI6IjIwMDMtMDEtMDdUMDI6MTE6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjo0Ljk3OTI1OTk5OTUsICJtYXgiOjExLjk5NTk0MDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX2MqwajAAAABGdBTUEAAK/INwWK6QAAIY9JREFUeJzt3XtwFeX5wHHkGkKbJpCCIAEihUpHKTI6AyQgICCMomgdGkRuUktbYaQtV7mVtpS2UxjrKGBp7Dhj5WIHM1qwf1hpZ6iVwTK01CAIcrXcCTflIiS/Z7Lz21nPObtn9+RNeM8+388fzGZz9vK8z+4+z9k94TSqAQAAgFGNbvQOAAAAxA0NFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBh8WywGjWKZ1wAUK/q4+L57rvvduvWLe2a62PTN6oWUINQo63B4qAHgAD1cZEsLS3dsGHDDdk0DZZBsQyqXsVzvKK+Vdq4ceOAAQNatGjRvn37CRMmHDt2zJm/b9++Bx54IL+WTMiPzvyqqqrx48e3bt26sLBw0aJFwRtyeGdWV1fPmjVL1llQUDBnzhz5MeWyb7311uDBg3NycmSvJk+efOrUqeDF/eb7RRewG1F3e8eOHcOGDWvVqlWHDh3Ky8sDBsQvKL+N+r3eLzVRByerR77RF+Xl5QUE5beSqBmJGlSkka8PCfvvBnXTTTe1a9eurKzs8OHDAYtnsP9Hjx79wQ9+0KVLl2bNmslSw4cPl0FLuTMJM2XiG9/4hncTMt2jRw/vC9xf7dq165FHHpGrUPPmze+6667XXnvNmX/27FnZz27durVs2VK2/tBDD7399ttp9zl5ZzJ+QTI5Mi9fvlz3TWegvnsCvyxktl0je+t3hhrfUEia27J4Rh71GjFo0CB5gyVt0/nz5xcvXiz1xpnft2/fefPmVdWaO3eu/OjMnzhxolyXj9UaPXr0Sy+9FGlzq1at6t2798e1ZGL16tUplxo6dOimTZsuXLhw/PjxKVOm3H///cGL+833iy7tboTc7d27dxcVFb3yyitnzpw5ePDgmDFjAobCLyi/jfq93i81UQcnq0fea/ny5TNmzAgIym8lUTMSNahII18fkhssZ+L69euffPLJj3/849LS0oDFo+7/kSNHOnfuLKutrKz87LPPpGF9880377vvvpQ7kzBTJqRIv/HGG+6vXn/9dZmT3GDt2bNHusPf/OY3csZJ7/Lee+9961vfcn4l23ryySflBVeuXDlx4sS6devuueee4H1OuTMZvyDjRbKuwQrIwg1ssPzOUOMbCokGK2vIQfz000+3qyUT7rsiSaEUmI4dO8q7UufHX/3qV23btpU3Fk899ZRcaNyX1XzxfX/yJqTS5ObmOtMyIceoM33u3Dl3fps2baQaOdPSYwVfoGuSjjDpBqSkOdMyUVJSkjZw2Y1WrVoFLx5mtd7o0r4+5G5LR/X888+nDSE4KL+N+r3eLzV1GZy0G7Vt5F1yhBcXF0tpDwgkzE5GzUiYoEKO/Oeff75gwYJOnTrl5+dLxXJmBpzvK1eulD4mJyenT58+O3fudOa//fbbd955p8yUXzmdUPLJnhDO2bNnW7ZsKRPf+973vO+UysvLZU7w/qccmSeeeEI6fr8RS9tgrV+/3rsJie61115L3vnHHnvs5z//ecpNSDgSlN8OeDcacJGs8Rn84Itn1EWSr9sp0+p3GHjJ2zxpbiSWvLy8hx9++OTJk2HCCd6oHACyQnm9DFTKeAOy4He8uT+GOVblPcDPfvazLl26FBQUTJo06eLFiynHLYD3DPXuQ/JJ4V1h2sH027Hkszh5W2GKeP/+/desWePusPSv7du3D3NU2ybLGixJ3pAhQw7Xkj594cKFznzJzUMPPSTvR90f5WVHasnET37yE3d+wkQCOVCWLl3qvol/9NFHZROSV3k3MH/+fPnRmS8Nlrw1dKal05KDKXi3EzYnR617yMp60i4uKioqBg4cGLx42tUmRJf29SF3W84TyYucAHJCjh8/XsYqbTjJQflt1O/1fqnJeHDCbNS2kXfJBVouc8GBhBmBSBkJGVTIkZdCJZveu3fvmTNnpk+f7swMON9HjRq1f/9+2Qd5j+52JHIQ/ulPf5JLtlyRJ0+enHL/vUXi6NGjs2fPdm7wSIcxYMCAdevWyfTatWtl+urVq8H7n3JkZB+kPqWM0W8R73VJ9qpbt27/+Mc/5MfNmzfLtMxJvnDJSec+Fk8wYsSI0aNHb9my5bPPPvPbjZoQF8mAwfdbZ9RFkq/bKdPqt1qvnj17vvPOOxKyXBOmTp36ne98J3w4KTcqVxUZyU9qDRs2LGUIAVlI22CFOVaXLVt27733fvzxx3JSPP744z/60Y9SjpufhDM05W6kXGHawfTbsZRnccK2whTxv/zlLz169JAj3/mVjM8vf/nL4GDtlGUN1q233vrBBx840/JWo2vXrs605ObAgQPuy+RH92X//e9/vS9LmPByumx5S/fRRx85c5y7/c58mXCPv3Hjxo0dO/Z4LXkT07Rp0+DdTthc48aNnWu3kIkmTZoEL759+/bi4mL3qu23ePBqk6NLuxshd1sm5BxzRqOsrGzixInB4aQMym+jfq/3S01mgxNyJ20beYdchrp3715ZWRkcS9qNRspI+KBCjvzXvvY19+aBK+B8l97Imf7000+dW1CiqKjoueeeO3ToUMD+N/oieQsulwjnV8eOHZMRmDNnjvzrfnIl6pEjVwNvZ5N8qyB5kYTfvvjiiw8++GBN7cO+3/3ud8kvcLZy6dKllDtw7tw5qWHf/OY3c3JyZABnzJiR8q1/2otkwOD7xR51keTrdsq0+q3Wj4xAx44dw4fjt9Fdu3Y507JgyhACspC2wQpzrN52220ffvihMy0HpFzo3Jd5x81vBxLO0IANBaww5WD67VjKszhhWyGL+N133/3HP/6xpvY5rOyApCYwXEtlWYMllwz3gJYJ+dGZltwkfFLY72UJEwnkYFq0aFH//v2dH6XRnjt3rvtBH/nRmX/69Gnpq+TSLO9glixZcvPNN7ur9V5Mvfvj/dHvPXHKxeVdbKdOnbZu3Zp28bS3ChKiM3UfReZ77+cVFhbWpJMclN9G/V7vlxqDd7DsH3nH2rVrR44cmTac4JVEzUj4oEIe7d5T2xVwvqfcw3/961+jRo1q06ZNt27d3Od6fi929mfevHneD6nI+2l5gfuMMmD//cjVIKBJbdasWcITLolLejjvy+QF7du3f/XVV+Vf9ylbwnoC7p245JIondOECRP87mEEj23IwfeKukjydTvht8Gr9dq2bZvkUa7JzkHl9sFRw/G+3s2UvD5lCHW5gxXmWJVuz/tmwHucpP3LmJqkMzTlbqRcYdrB9NuxlGdxwrZCFvGKioqvf/3r165dGzNmjHSiySFkhSxrsEK+Q/K+OZOJ5JcFPLqWg9L9GIocRik/6OP1wgsvSLMVvNsJuxf+80BSOzt06PD++++HWTzMar3RmfokUGlpqfcTaWkbrJRB+W3U7/V+qTH1GaysGHlHr169tmzZEhxO8EqiZiRSUCFHXspMpDtYAXsol+k///nP7tuehJM94cVyFLk3LXbs2CHvlTds2HDLLbe47/ujHjnS0MyZMydhprvRHj16vPfee95f/fOf/+zSpUvCy5YuXdq0aVP3sUhytZZrzi9+8YvgPXHIO5Avf/nLyfPTXiT9Bj/g4pnBHawwP4a5gyUzX375ZXnrKyVZ/k0esajHUpg7WAFZ8DZq7t2Xo0ePRjpWpcPYv39/wMrT8p6hXsEnRdrB9NuxlGdxwrZCJkJG5o477pg5c6acHe4HBLNOljVY8nbTfXwrLfb8+fOd+cknybBhw5yPF8hE8kcBvvrVr3ofqYwbN05+vHr16qFDh6ZOner9UzXZhHOb5JlnnnGvrWPHjpUdkJlr1qwpKipyb5b6Sdi9lStXhvm7pGXLlnXq1Mk9ydMu7jffL7q0uxFyt8vLy90HpmVlZcEfBvILym+jfq/3S03UwYm0k7aNfE3tn2T369cvIJa0K4makahBhRz5JUuWDBw4cN++fd5Pb4Q/350JOfzk2i2XYyla0jI6MxNOdu+yp06dWrBgQZ8+fWpqP7AiF/S///3vMv3GG2/ceeedzpO+gP1PWecOHDggm3b/ilDCefPNN91Xyvsx2crf/va3c7U2b958++23//rXvw5YYU2qBmvPnj1SlZcvXy4jc/ny5a1bt7p/v3bPPfesW7dO3upIjmSfp0yZMmLEiJTrDL5I+g1+wnh6hcyX3wD6/ei3Wi8Zjddff12GQg4hGYrkEYt6LMnr3c9g3XfffSlDCMiC+3q5NC1evFiOLsnFgw8+GOlYffbZZ2WfZY687D//+c+3v/3t4PF0+J2hXgEnRZjB9NuxlGdxwrbCHyTyxk9m/v73v/fODN9c2iCb9rWm9o7itGnTnD9AkAn3TmPySeL8gUxBQcH3v/99798pOBNSVPLz890f169f37Nnz+bNm0u3JNcj6dmd+XL+DB8+/Cu15GTbu3evM19aCjklcnNzhw4dun379oAdbvRFzkzpzaUxd/4Pp9mzZ/v9zzqNkly4cCFgcb/5ftEF7EbU3Zarc2FhoYy2nNvBH3L3C8pvo36v90tN1MHJ9pEvLS2tqKgIiMXlt5KoGYkaVMiRl3ogjXLHjh3lKJKK5cwMf747E/KGR95b5+TkSHv0zjvvODMTTnZvRK1bt5aa5xw848ePdz7w5JB9cN4qBCcrZSwHDx584okn5BLRtGnTNm3aPPzww++++647Gn/4wx/uuusu59CViZdffjntChslVTghRUvWLHslubj77rvd/4Hpr3/9q8yXYZRxKC4ufuqpp9wcJawz+CLpN/gJ4+kVMl9+8fr96LdaL3mnIalv1qyZvFt47rnnkkcs6rEkL/jud78rgyND9NOf/lTWnDIEvyy469m5c6d08M5fC65YsSLSsXr9+nWJ5bbbbmvRooX05e6Z7jeeDr8z1Cv5pIg0mH47lvIsTthW+INEBrNbt26ff/65d2Zw7LbJpn0FABiRXYXqxvr3v/8treqN3osb7Nq1a2n/nMuskSNHvvrqqw25ReM4xwBAHRqstKZPn3706NEDBw7ce++9P/zhD2/07txg27Ztc/9asL5dv379xRdfvOOOO9z/qSFLcY6hXiQ/eLLwgp4VOxlVLIOCcRwVaT377LMdO3Zs27btk08+maX/TYBBX/rSl1asWNEw25KDs0uXLtLSNczm6g/nGAAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACGaWmwUv7tOgAAaGA3uiNoIGriVJNRAACspaccq4lTTUYBALCWnnIc5zh13pMEAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHMc5Th4RAgBgFT3lWE2cajIKAIC19JTjOMfJHSwAAKyipxyriVNNRgEAsJaecqwmTjUZBQDAWnrKcZzj5BEhAABW0VOO1cSpJqMAAFhLTzmOc5zcwQIAwCp6yrGaONVkFAAAa+kpx2riVJNRAACspaccxzlOHhECAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjuMcJ48IAQCwip5yrCZONRkFAMBaespxnOPkDhYAAFbRU44titOvEzLSIenJKAAA1tJTjq2L02/oabAAAMh2esqxdXEabLB4RAgAgFX0lGPr4uQOFgAAcaWnHFsXZ10arEaBTO8pAACIRk85ti5O7mABABBXesqxdXHSYAEAEFd6yrF1cYZvsNImiUeEAABYRU85tihOv34oYH6klZvcVwAAEJ2ecqwmTjUZBQDAWnrKcZzj5BEhAABW0VOO1cSpJqMAAFhLTzmOc5zcwQIAwCp6yrGaONVkFAAAa+kpx2riVJNRAACspaccxzlOHhECAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjuMcJ48IAQCwip5yrCZONRkFAMBaespxnOPkDhYAAFbRU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lOM5x8ogQAACr6CnHauJUk1EAAKylpxzHOU7uYAEAYBU95VhNnGoyCgCAtfSUY4viTHmrqbq6etasWfn5+QUFBXPmzJEfM165iX0EAACZ01OOrYszYehXrVrVu3fvj2vJxOrVqyOtikeEAADYQ085ti7OhKHv27fvpk2bnGmZKCkpMbJaAADQ8PSUY+viTBj6vLy8kydPOtMnTpzIz883sloAANDw9JRj6+JMGPrGjRtfvXrVmZaJJk2aBC8boB53GgAAhKCnHFsXJ3ewAACIKz3l2Lo4DX4GiztYAABYRU85ti7OhKFfuXKl318RRkqSnowCAGAtPeXYojhT3nCqrq6eOXNmfq3Zs2d7/x8sGiwAALKLnnIc5zh5RAgAgFX0lGM1carJKAAA1tJTjuMcJ3ewAACwip5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdxjpNHhAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JTjOMfJI0IAAKyipxyriVNNRgEAsJaechznOLmDBQCAVfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzmOc5w8IgQAwCp6yrGaONVkFAAAa+kpx3GOkztYAABYRU85VhOnmowCAGAtPeXY9jirqqrGjx/funXrwsLCRYsWZbwePRkFAMBaesqx7XFOnDixrKzsWK3Ro0e/9NJL4ZflESEAAFbRU45tj7NNmzbHjx93pqXHKi0tzWw9ejIKAIC19JRj2+OUBuvEiRPOtHRa+fn5ma1HT0YBALCWnnJse5zjxo0bO3bs8VqPPfZY06ZNA17cKFCD7TMAAEhJTzm2Pc7Tp09LX1VQUNCuXbslS5bcfPPNma1HT0YBALCWnnKcTXG+8MIL0myFfz13sAAAsIqecmx7nGPHjj18+HBVVdWaNWuKioo+/PBD91eRkqQnowAAWEtPOTYf56VLl+bPn9+1a9ecnBz5d+HChZcvX854beXl5R06dMjNzR06dOj27du9v6LBAgAgu+gpx+bjnDZt2uDBg3fu3Cmdlvw7aNCgp59+2vhWwuARIQAAVtFTjs3H2a5du8OHD7s/yrTMMb6VqPRkFAAAa+kpx3FusLiDBQCAVfSU43p5RDhkyJAPPvjg0qVL8q9M36hHhF56MgoAgLX0lON6+ZD7vHnzbr311pycHPl3wYIFdfmQuyl6MgoAgLX0lOM4x8kjQgAArKKnHKuJU01GAQCwlp5ybD7OnTt3lpSUtGzZ0qq7RzbsAwAAyukpx+bj7NOnz+LFiz/99FPja46KR4QAAFhFTzk2H2dOTs7FixeNr7aO9GQUAABr6SnH5uPs3Lnz/v37ja82A9zBAgDAKnrKsfk4V6xYMWrUqKNHjxpfc13oySgAANbSU47NxNkoHSNbqeMe3uhdAABAOz3lOM5x2tbkAQCgnJ5ybD7Om266yfg6605PRgEAsJaecmw+zltuueV///uf8dXWkZ6MAgBgLT3l2Hycy5cvf+SRRw4cOFBdXW185ZHwiBAAAKvoKcfm4zT7Ifd9+/Y98MAD+bVkQn7MeK8y3gcAAGCEnnJse5x9+/adN29eVa25c+fKj+GX5Q4WAABW0VOObY8zNzf3/PnzzvS5c+fkx8zWoyejAABYS085tj3ORx99dOHChWfPnq2qqpo/f778mNl69GQUAABr6SnHtsd55MiRzp07O8/4ZOKTTz4JeLHl/9kpAADK6SnHtsc5ZMiQuXPnup/Bkh8zW4+ejAIAYC095dj2OFu2bJnxZ7C4gwUAgFX0lGPb4+zbt+/8+fOdO1jPPPNMSUmJ+6tISdKTUQAArKWnHNse5549e4YPH/6VWiNGjNi7d6/7KxosAACyi55yHOc4eUQIAIBV9JRjNXGqySgAANbSU47VxKkmowAAWEtPOY5znDwiBADAKnrKsZo41WQUAABr6SnHcY6TO1gAAFhFTzlWE6eajAIAYC095VhNnGoyCgCAtfSU4zjHySNCAACsoqccq4lTTUYBALCWnnIc5zi5gwUAgFX0lGM1carJKAAA1tJTjtXEqSajAABYS085jnOcPCIEAMAqesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHMc5Th4RAgBgFT3l2PY4E5qkvLy8jNdjdscAAEBUespxNsW5fPnyGTNmhH89d7AAALCKnnKcNXFeuXKluLj4yJEjmS2uJ6MAAFhLTznOmjhXr149adKkjBfXk1EAAKylpxxnR5zXr1/v3r17ZWVl8MsaBWqYXQUAAH70lOPsiHPt2rUjR46syxr0ZBQAAGvpKcfZEWevXr22bNkSdSnuYAEAYBU95TgL4ty4cWO/fv2S50dKkp6MAgBgLT3lOAviLC0traioSJ5PgwUAQHbRU47jHCePCAEAsIqecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHcY6TR4QAAFhFTzlWE6eajAIAYC095TjOcXIHCwAAq+gpx2riVJNRAACspaccq4lTTUYBALCWnnIc5zh5RAgAgFX0lGM1carJKAAA1tJTjuMcJ3ewAACwip5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdxjpNHhAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JTjOMfJI0IAAKyipxxnQZw7duwYNmxYq1atOnToUF5entlK9GQUAABr6SnHtse5e/fuoqKiV1555cyZMwcPHhwzZkz4ZbmDBQCAVfSUY9vjlI7q+eefr/t69GQUAABr6SnHtsfZrl27BQsWtG/fvnXr1uPHj6+qqspsPXoyCgCAtfSUY9vjbNKkyeOPP368VllZ2cSJEwNe3ChQg+0zAABISU85tj3OvLy8EydOONPSYxUWFma2Hj0ZBQDAWnrKse1xlpaWSl/lTB87dixSg8UdLAAArKKnHNseZ3l5+dixY91HhJMmTXJ/FSlJejIKAIC19JTjLIhz4cKFhYWFBQUF48aN837InQYLAIDsoqccxzlOHhECAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjuMcJ48IAQCwip5yrCZONRkFAMBaespxnOPkDhYAAFbRU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lOM5x8ogQAACr6CnHauJUk1EAAKylpxyriVNNRgEAsJaechznOHlECACAVfSUYzVxqskoAADW0lOO4xwnd7AAALCKnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx3GOk0eEAABYRU85tj1OU02SnowCAGAtPeXY9jjr2FRxBwsAAHvoKce2x2kqE3oyCgCAtfSUY9vjlEwUFhbm5ubefvvtv/3tb69du5bxeszuGAAAiEpPOc6OOC9fvrxt27aSkpLp06cHvKxRoAbbWwAAkJKecpxNcR48eDA/Pz+zZYN7LwAA0DDM9gbWyqY4Dx8+3K5dOyOrapgEsxVrN8RW2EpsNsRW2Eo8thI/to9aWVnZzp07r1y5UllZOWTIkGnTprm/qkvK43RQxmkrDbYhtsJWYrMhtsJW4rGV+LF91NavX9+zZ88WLVp07dp13rx5ly5dcn9FgxW/rTTYhtgKW4nNhtgKW4nHVuJH6ajF6aCM01YabENsha3EZkNsha3EYyvxw6hlPQ59a5EaO5EXa5EaO5GXzDBqWY9D31qkxk7kxVqkxk7kJTOMWtbj0LcWqbETebEWqbETeckMo5b1OPStRWrsRF6sRWrsRF4yw6hlPQ59a5EaO5EXa5EaO5GXzDBqAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDZZd3nrrrcGDB+fk5LRv337y5MmnTp0Knu9VXV09a9as/Pz8goKCOXPmyI/B8xGJXwo2btw4YMCAFi1ayPwJEyYcO3YseVlSU3/qMrbkpV4FDGOj/xd1WVJTd35jSJUxjgbLLkOHDt20adOFCxeOHz8+ZcqU+++/P3i+16pVq3r37v1xLZlYvXp18HxE4peCQYMGbdiwoaqq6vz584sXL5YrVPKypKb+1GVsyUu9SjuMAQ0Wqak/fmNIlTGOBsteUrBbtWqVdr57kerbt6+cHs60TJSUlATPR8b8UiPXptzcXPdHUtMAMhhb8tIw0g5jcoNFahpAmDGkyhhBg2WvioqKgQMHpp3vHvp5eXknT550pk+cOJGfnx88HxlLmZqLFy8uXbrU+7aP1DSADMaWvDSMtMMY0GCRmvoTZgypMkbQYFlq+/btxcXFu3fvDjlfNG7c+OrVq860TDRp0iR4PjKTMgXOB0ratm370UcfJS9CaupPXcaWvNSrtMMY8IiQ1NSftGNIlTGFBstGmzdv7tSp09atW0POd/DeogEEpODcuXOLFi3q379/8q9ITf2py9iSl3qVwR2stMuSmroLHkOqjEE0WNZZu3Zthw4d3n///ZDzXTwdr29pUyA9VsrPZpGa+lOXsSUv9SqDz2ClXZbU1F3AGFJlzKLBssuyZcvk3cOuXbtCzq/xXKRWrlyZ8u84/OYjEr8UjBs3rrKy8urVq4cOHZo6dWrKz2CRmvqTwdiSl4aRdhgDPoNFauqP3xhSZYyjwbJLoyQXLlwImF/jOfSrq6tnzpyZX2v27Nne/6Ek5XxE4peC9evX9+zZs3nz5kVFRVOmTDl9+rR3EWeC1NSfDMaWvDSM4BR4eecHL0tq6s5vDKkyxtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAHIYn7fUBv1W2nDfGl3wOI1Ib7AOGDxhA8X5+Xl1XFYANxwNFgAspjfN9RG/VbaMF/aHbC4K7jBCvOduMuXL58xY0akQQBgIRosADHh/YbauvyPiAlf2u1Vl/88M8ziV65cKS4uPnLkSMBKAGQFGiwAMeH9htqMv9Mj+Uu7very9S9hFl+9evWkSZMC1gAgW9BgAYiDhG+ozexbaYO/tDvt4jXpGqzgxa9fv969e/fKysrAQAFkBxosAFkv+RtqM76DlfCl3QkfXY96ByvS4mvXrh05cmSkwAFYiwYLQHZL+Q21dfkMlt+XdodZvC6fwerVq9eWLVsCFgeQRWiwAGQxv2+ojfqttAFf2h1mta7gBitg8Y0bN/br1y9S7ABsRoMFIIv5fUNt1G+lDfjSbq8MvsA45OKlpaUVFRVGxgSADWiwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMOz/AE8o5v2pKM6pAAAAAElFTkSuQmCC)
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