Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit270-08-20020329_083800_20020329_132300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/03/29 |
Start Time | | 2002/03/29 08:38 |
End Time | | 2002/03/29 13:21 |
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 | | -3.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.82 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit270-08-20020329_083800_20020329_132300-constBx0 |
Minimum Dst Value | | -3 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUATW9uIEphbiAxNCAxMTo0MTowNCBFU1QgMjAxObVUWqIAAAHPdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyNzAtMDktMjAwMjAzMjlfMTMyNDAwXzIwMDIwMzI5XzE4MDkwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMyB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wMy0yOVQxMzoyNDowMC4wMDBaIiwgIm1heCI6IjIwMDItMDMtMjlUMTg6MDc6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjo4LjM1NjM4OTk5OTUsICJtYXgiOjE1LjMxNzQxMDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3+pPZHAAAABGdBTUEAAK/INwWK6QAAIzJJREFUeJzt3XtwFfXZwHHkGkLLm0BKCJIApljtAFVHGZCAgIAo4q0OjWAApZYWYaQtV7mVtkDbKYw6RbQUOs5UQewgowU7jpV2tFYGythSw03kEizhZoCgAYTwPpN93511bznnZHP4nX2+nz+YPZs9u/v8nt19nrN7EppcBgAAQKSaXOkdAAAAiBsaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIWDwbrCZN4hkXADSqxrh4vvfee927d693zY2x6StVC6hBuKytweKgB4AQjXGRLCkpWb9+/RXZNA1WhGIZVKOK53gl+1HpjTfeGDx4cFZWVkFBwYQJE06cOGEv5tS2bVtrfm1t7YwZM3JycnJzc2fNmiUvfbcStFhVVdXYsWPbtWuXl5e3YMGCoJ0M2qug1QbNT3Y9GzduHDBgQKtWrWT5cePGVVZWhq8nwXCcg29xzkx2o5bjx48XFhY6V5Xs4DDy+/btu/vuu3PqyIS8DN/JoI1GMvKNwRWvPQhXXXVVfn5+aWlpRUVFyNtT2P8jR45MmjSpa9euLVq0kHcNHz5cMuu7M66ZMvHNb37TuQmZvv76650L2D/auXPnAw88IIlo2bLlzTff/Morr1jzT506JfvZvXv31q1by9bvvffet956q9599u5Mygt4yZXz3LlzDd90Chq7JwjKQmrbjWRvgy4jkW8oQZrbsnhGnuw1YujQoZs2baqurj569OjEiRNHjBjhfcuyZcumTZtmTT/33HM33XTTx3VkYuXKlb5bCVps/PjxclmvrDNq1KjVq1f7vj1or4JWGzQ/2fUMGjRIPm5KHT1z5szChQultIevJ8FwXFwpSHajFiljixcvdq4q2cFh5Pv27TtnzpyqOrNnz5aX4TsZtNFIRr4xeBssa+LSpUuffPLJj3/845KSkpC3J7v/hw8f7tKli6y2vLz8888/l2749ddfv+OOO3x3xjVTJqRIv/baa/aPXn31VZnjbbD27Nkj3eGvf/3rgwcPSu/y/vvvf/vb37Z+JNt67LHHZIHz588fO3bs5Zdfvu2228L32XdnUl4g5bdkXIMVkoUr2GAFXUYi31CCaLAyhhzETzzxRH4dmbA/FUkKpQHq3LmzfCq1Xv7yl7/s0KGDfLB4/PHH5UJjL3b5y/elvJuQg7JNmzaumbKGbt26yaXTeilFSAqeNS0T/fr1893boMXat28vldKalioVfn337lXQahPZq0TW4yRFPTs7O3w9KYRzOfSsS2SjQgpYcXFxTU2Nc1UNGRxfsR952Yqs05o+ffq0vdFkj94GjvwXX3wxb968oqKinJwcqVjWzJDzfcWKFdLHZGVl9enTZ8eOHdb8t95668Ybb5SZ8iOrE/Ke7K7wT5061bp1a5n4/ve/7+xQV61aJXPC99/3GH700UelT/WNMegtzn1bt26dcxMS3SuvvOLd+dGjR//85z/33YSEI0EF7YBzoyEXycsBgx9+8Uz2Ld7rtm9agw4Dp927d0tzI7G0bdv2/vvvP378eCLhhG9UDgBZoSwvA+Ubb0gWgo43+2Uix6p8BvjZz37WtWvX3NzcRx555OzZs77jFsL3MuJ7UjhXWO9gBu2Y9yz2biuRIt6/f/81a9bYOyz9a0FBQSJHtWkyrMGS5A0ZMqSijvTp8+fPt+ZLbu699175PGq/lMUO15GJn/zkJ/Z814TXhg0bBg4c6JopJ4AcRvZLOezsY04+I8rB5LuqoMWkRMlLa1pqVdDbg/YqaLWJ7FUi67HJabNkyRLf+3nO9aQQzuXgFCS4UXHXXXe9+OKLrlU1ZHB8xX7kH3zwQTmP5OIlH3nnzp0rL8N3MmijDRx5KVQS10cfffTpp59OnTrVmhlyvt9333379++XgZLP6HZHIlfhP/7xj3LJlivyhAkTfON1FokjR47MnDnTusEjHcaAAQNefvllmV67dq1MX7hwIXz/fY9h2QepT74xBr3FeV2Sverevfvf//53ebl582aZljneC5cUJ/thrsudd945atSod9999/PPPw/ajcsJXCRDBj9oncm+xXvd9k1r0GqdevXq9fbbb0vIciRPnjz5u9/9buLh+G5UzgUZyU/qDBs2zDeEkCzU22AlcqwuXbr09ttv//jjj+WkePjhh3/0ox/5jluQkMuId6+cK6x3MIN2zPcsdm0rkSL+5z//+frrr5cj3/qRjM8vfvGL8GDNlGEN1jXXXPPhhx9a0/JRo7i42JqW3Bw4cMBeTF7ai/3nP/9xLuaacNm+fXu3bt1c10dJ87XXXlteXm7Padq0qXXxFTLRrFkz37UFLVZWVjZmzJijdeQzUPPmzcOjdu1V0Grr3asE12OxPnPIB9y9e/eGryfZcOz1+85McKNvvvlm7969rW+rOFeV8uD40jDy1iMta6MyYV9kkz16GzjyX//61+2bB7aQ8116I2v6s88+s25BicLCwmeeeebQoUMh8Tb5MvkILpcI60eVlZUyvLNmzZJ/7W+uJHvkyIA4OxvvrQLvW1w/ff755++5557LdQ/7fvvb33oXsLZSU1PjuwOnT5+WGvatb30rKytLBnDatGm+H/3rvUiGDH5Q7Mm+xXvd9k1r0GqDyAh07tw58XCCNrpz505rWt7oG0JIFuptsBI5Vq+77rpdu3ZZ03JAyulpL+Yct6AdCLqM+O5V0Ap9BzNox3zPYte2Eizit9xyi/X5ec+ePbIDkprQcA2VYQ2WXDLsA1om5KU1LblxfjNUXgYt5ppwks+LRUVFW7Zscc2Xj7MjR450zgn6UOu6mAYtdvLkSalMcmWXD0CLFi3q2LGj79uD9iq1WwWJr8cmp9aCBQv69+8fvp6gcMIFXXMT3GjPnj3feecd76oivIOlZOTl0+Ts2bPt72DJy/CdDNposoPjOtqdp7Yt5Hz3jeif//znfffd1759++7du9vP9YIWtvZnzpw5zi+pyOdpWcB+Rhmy/0FkQLx3sOyNtmjRwvWES+KSHs65mCxQUFDw0ksvyb/2UzbXekLundjkkiid07hx44LuYYSPbYKD75TsW7zXbddPw1frtHXrVsmjHJbWQWX3wcmG41zezpTrewi2htzBSuRYlW7P+WHAeZy4xs1bOC4HXEaC9sq5wnoHM2jHfM9i17YSLOIbNmz4xje+cfHixYceekg6UW8IGSHDGqwEPyE5P5zJhHcx76Nr6aI6deq0bds270ZvuOGGd9991zmngd/Bclq+fLmUK9+3B+1VCl92SWo9TnKKOr/2FDJKiYTjFHKZTmSjTTzCg0r2O1h6Rl6ulUl9Bytoow0ceSkzSd3BColILtN/+tOf7M7PdbK7FpbY7ZsWH3zwgXxWXr9+/dVXX21/7k/2yJGGZtasWa6Z9kavv/76999/3/mjf/zjH127dnUttmTJkubNm9uPRbzVWoZ98eLF4Xtikb75q1/9qnd+vRfJoMEP+d5PCnewEnmZyB0smfnCCy9I9y8lWf71jliyx1Iid7BCsuBs1Oy7L0eOHEnqWJUOY//+/SErr5frMmILPynqHcygHfM9i13bSjARMjLyKXr69OlydthfEMw4GdZgycdN+/GttNhz58615ntPkmHDhllfL5AJ71cBvva1rzkf+S1durSoqMg+nZw2btx46623umauWLEikV8sClpszJgxsv9y4VuzZk1hYaF9r9UlaK+CVhs0P9n1lJWVyeBcuHDh0KFDkydPtj/+Bq0nwXBcXClLdqNBq0p2cHypGnlpIOQ8su5gPfnkk3YDkezR28CRX7Ro0cCBA/ft2+f89kbi57s1UVpaKtduuRxL0ZJ+1JrpOtmd7z1x4sS8efP69Olzue4LK3JB/9vf/ibTr7322o033mg96QvZf986d+DAAdm0/VuEEs7rr79uLyktqWzlr3/96+k6mzdv7tGjx69+9auQFV72a7D27NkjVXnZsmUyMufOnduyZYv9+2u33Xbbyy+/XFlZKQeS7PPEiRPvvPNO33WGXySDBt81nk4J5itoAINeBq3WSUbj1VdflaGQQ0iGwjtiyR5Lsrz9Haw77rjDN4SQLNjLywm1cOFCObokF/fcc09Sx+pTTz0l+yxzZLF///vf3/nOd8LH0xJ0GXEKOSkSGcygHfM9i13bSvwgkU+VMvN3v/udc2bizaUJMmlfL9fdUZwyZYr1CwgyYd9p9J4k1i/I5Obm/uAHP3D+noI1IRUrJyfHedy4VFdXWz8qKSnZsGGDazekuZbO2vrTQTNnzgz5O1i+i61atUrOqOzs7KFDh27fvj0o2KC9Clpt0Pxk17Nu3bpevXq1bNlSyqdcneUTTPh6EgwnKK7UNupaYb1jnmDKFI68FInhw4f/Tx2pKB999FF4UEEbbeDISz2Q9q5z585yzkrFsmYmfr5bE9LzyWfrrKwsaY/efvtta2bIyd6uXTupeVbIY8eOtb7wZJF9sH6vJWT/mwRc6w8ePPjoo4/KKDVv3rx9+/b333//e++9Z4/G73//+5tvvtkacJl44YUX6l1hE0+Fu1z3W7SyZtkrOWBuueUW+y8w/eUvf5H5MowyDt26dXv88cftA8m1zvCLZNDgu8bTKcF8BcUb9DJotU7ySVhS36JFC/ko8swzz3hHLNljSRb43ve+J4MjQ/TTn/5U1uwbQlAW7PXs2LFDOnjrtwWfffbZpI7VS5cuSSzXXXddq1atpC+3K1HQeFqCLiNO3pMiqcEM2jHfs9i1rcQPEhnM7t27f/HFF86Z4bGbJpP2FQAQicwqVFfWv/71L2lVr/ReXGEXL15M8NdoojJy5MiXXnopnVuMHOcYAKhDg1WvqVOnHjly5MCBA7fffvsPf/jDK707V9jWrVvt3xZsbJcuXXr++ed79uxp/6WGDMU5hkbhfapl4AU9I3YyWbEMCpHjqKjXU0891blz5w4dOjz22GMZ+mcCIvSVr3zl2WefTc+25ODs2rWrtHTp2Vzj4RwDAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAERMS4Pl+7vrAAAgza50R5AmcY5TZ0YBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx3GOk0eEAAAYRU85NihO304oqiZJT0YBADCWnnJsXJzeBqshq+IOFgAA5tBTjo2LM8IGqzHWAwAAUqanHBsXp7fBysvLy87O7tGjx9NPP33x4sVIVgsAANJPTzk2Lk7foT937tzWrVv79es3derU8Pfyl80AADCWnnJsXJwhQ3/w4MGcnJzIVwsAANJDTzk2Ls6Qoa+oqMjPz09qVdzBAgDAHHrKsXFxuoa+tLR0x44d58+fLy8vHzJkyJQpU4KWTGq1AAAg/fSUY4Pi9L3htG7dul69erVq1aq4uHjOnDk1NTXO5ZNaecS7CwAAkqSnHMc5Th4RAgBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47jHCePCAEAMIqecqwmTjUZBQDAWHrKcZzj5A4WAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjOcfKIEAAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnIc5zh5RAgAgFH0lGM1carJKAAAxtJTjuMcJ3ewAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdxjpNHhAAAGEVPOTYozpBO6Pjx44WFhQ3Jip6MAgBgLD3l2Lg4fYd+0qRJixcvpsECACCj6SnHxsXpHfry8vLi4uKamppks8IjQgAAjKKnHBsXp3fo77rrrhdffNH3Rw1ZLQAASDM95di4OF1D/+abb/bu3bu2ttb7I9/3hmjEnQYAAAnQU46Ni9M19D179nznnXd8f9SQ1QIAgPTTU46Ni9M19FHdiNKTUQAAjKWnHBsXZ8jQe3uvelfFI0IAAMyhpxwbFGe9/VCyDVbKCwMAgMagpxzHOU7uYAEAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO4xwnjwgBADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx3GOk0eEAAAYRU85VhOnmowCAGAsPeU4znFyBwsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOc4eUQIAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOY5znDwiBADAKHrKsZo41WQUAABj6SnHcY6TO1gAABhFTzk2KE7fTmjjxo0DBgxo1apVQUHBuHHjKisrU155FPsIAABSp6ccGxena+gHDRq0fv36qqqqM2fOLFy4cPDgwZGsFgAApJ+ecmxcnCFDX11dnZ2dndSqeEQIAIA59JRj4+IMGvqzZ88uWbJkxIgR0a4WAACkjZ5ybFycvkNv3YLq0KHD3r17w98botF2GQAAJERPOTYuzqChP3369IIFC/r37x/tagEAQNroKcfGxRky9NJjtWnTJvLVAgCA9NBTjo2L0zX0ZWVl5eXlFy5cOHTo0OTJk53fwao3STwiBADAKHrKsUFx+vZD69at69WrV8uWLQsLCydOnHjy5Enn8kmtPOLdBQAASdJTjtXEqSajAAAYS085jnOcPCIEAMAoesqxmjjVZBQAAGPpKcdxjpM7WAAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjOMfJI0IAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcZzj5BEhAABG0VOO1cSpJqMAABhLTzmOc5zcwQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccxzlOHhECAGAUPeVYTZxqMgoAgLH0lOM4x8kdLAAAjKKnHEcfZ01Nzdy5c4uLi7OysuTf+fPnnzt3LvKtJEtPRgEAMJaechx9nFOmTBk8ePCOHTuk05J/Bw0a9MQTTyS0K363mt544w1Zm/RqBQUFEyZMOHHiRGp7pSejAAAYS085jj7O/Pz8iooK+6VMy5wkdujLQz906NBNmzZVV1cfPXp04sSJI0aMSGpVPCIEAMAcesqx6Q2W05kzZ9q0aZPaXunJKAAAxtJTjhvlEeGQIUM+/PDDmpoa+VemE3xE+H87FDz0GzZsGDhwYGp7pSejAAAYS085bpQvuc+ZM+eaa67JysqSf+fNm5fUl9yDhn779u3dunXbvXt3+HtDJBcGAACImp5ybFycvkO/efPmoqKiLVu2RLtaAACQTnrKsXFxeod+7dq1nTp12rZtWwqr4g4WAADm0FOOo49zx44d/fr1a926dWrNjWvhpUuXFhUV7dy5s94lk1otAABIPz3lOPo4+/Tps3Dhws8++yzpXfG74eT9KlV1dbX9o6RWnuz+AACAaOkpx9HHmZWVdfbs2chXmwIeEQIAYBQ95Tj6OLt06bJ///7IV9tAejIKAICx9JTj6ON89tln77vvviNHjkS+5obQk1EAAIylpxxHE2f4H6C6UqNpwj4AAACbnnKsJk41GQUAwFh6ynH0cV511VWRrzM13MECAMAoespx9HFeffXV//3vfyNfbQPpySgAAMbSU46jj3PZsmUPPPDAgQMHamtrI195yvRkFAAAY+kpx9HHyZfcAQCALz3lWE2cajIKAICx9JTjOMfJHSwAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcZzj5BEhAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjOcfKIEAAAo+gpxwbFGdQJRdIh6ckoAADG0lOOjYszaOhTSAl3sAAAMIqecmxcnBE2WBG+HQAANJyecmxcnDRYAADElZ5ybFycDWmwfP+faR4RAgBgCD3l2Lg4uYMFAEBc6SnHxsVJgwUAQFzpKcfGxZl4g1VvknhECACAUfSUY4PiDOqHQuYntfIo9xUAACRPTzmOc5zcwQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccxzlOHhECAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjuMcJ48IAQAwip5yrCZONRkFAMBYespxnOPkDhYAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOM5x8ogQAACj6CnHauJUk1EAAIylpxzHOU7uYAEAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO4xwnjwgBADCKnnJsUJy+nVBtbe2MGTNycnJyc3NnzZolL1NeeRT7CAAAUqenHBsXp2von3vuuZtuuunjOjKxcuXKSFYLAADST085Ni5O19D37dt306ZN1rRM9OvXL6lV8YgQAABz6CnHxsXpGvq2bdseP37cmj527FhOTk4kqwUAAOmnpxwbF6dr6Js2bXrhwgVrWiaaNWsW/t4QjbjTAAAgAXrKsXFxcgcLAIC40lOOjYszwu9ghawWAACkn55ybFycrqFfsWJF0G8R1pskHhECAGAUPeXYoDh9+6Ha2trp06fn1Jk5c6bz72AllSQ9GQUAwFh6yrGaONVkFAAAY+kpx3GOk0eEAAAYRU85VhOnmowCAGAsPeU4znFyBwsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOc4eUQIAIBR9JRjNXGqySgAAMbSU47jHCd3sAAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHcY6TR4QAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU4zjHySNCAACMoqccq4lTTUYBADCWnnIc5zi5gwUAgFH0lGM1carJKAAAxtJTjk2Ps6qqauzYse3atcvLy1uwYEHK69GTUQAAjKWnHJse5/jx40tLSyvrjBo1avXq1Ym/l0eEAAAYRU85Nj3O9u3bHz161JqWHqukpCS19ejJKAAAxtJTjk2PUxqsY8eOWdPSaeXk5KS2Hj0ZBQDAWHrKselxlpWVjRkz5mid0aNHN2/ePGThJqHSts8AAMCXnnJsepwnT56Uvio3Nzc/P3/RokUdO3ZMbT16MgoAgLH0lONMinP58uXSbCW+PHewAAAwip5ybHqcY8aMqaioqKqqWrNmTWFh4a5du+wfJZUkPRkFAMBYesqx6XGuWrWqU6dO2dnZQ4cO3b59u/NHNFgAAGQWPeU4znHyiBAAAKPoKcdq4lSTUQAAjKWnHMc5Tu5gAQBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47jHCePCAEAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHcY6TR4QAABhFTzlWE6eajAIAYCw95TjOcXIHCwAAo+gpx2riVJNRAACMpaccq4kTAAAY4Ep3BGmiJc7EpSf3cdpK2jbEVthKPLaStg2xFbYSpw1lHMbFLU6HfsxOMLbCVuKxlbRtiK2wlThtKOMwLm5xOvRjdoKxFbYSj62kbUNsha3EaUMZh3Fxi9OhH7MTjK2wlXhsJW0bYitsJU4byjiMS5xx3BuL1JiJvBiL1BiL1ARhXOKM495YpMZM5MVYpMZYpCYI4xJnHPfGIjVmIi/GIjXGIjVBGJc447g3FqkxE3kxFqkxFqkJwrjEGce9sUiNmciLsUiNsUhNEMYFAAAgYjRYAAAAEaPBAgAAiBgNFgAAQMRosAAAACJGgwUAABAxGiwAAICI0WBlkib/z/uj48ePFxYWBv09ktra2hkzZuTk5OTm5s6aNUtehs9HsnxT0+TLfN9IahpV0OB/8MEHw4YNa9OmTadOnVatWuV9I3lpbImcMm3btvW+kdQ0Nt/U7Nu37+67786pIxPy0vtGUuNCg5V5fEv1pEmTFi9eHFTFn3vuuZtuuunjOjKxcuXK8PlIjbda1PsWUpMGrkTs3r1bPo384Q9/+PTTTw8ePPjQQw9530Je0iPkHFm2bNm0adO880lNerhS07dv3zlz5lTVmT17trz0voXUuNBgZR7vJam8vLy4uLimpiaowMvJsGnTJmtaJvr16xc+H6lJvMEiNenkSoR0VL/5zW/ClyQv6RF0jpw/f75bt26HDx/2Lklq0sOVmuzs7DNnzljTp0+flpfeJUmNCw1W5vFeku66664XX3zR+yP7Zdu2bY8fP25NHzt2LCcnJ3w+UuMd/7y8PLkS9ejR4+mnn7548aJ3SVKTBq685Ofnz5s3r6CgoF27dmPHjpVP5N4lyUt6BDVYK1eufOSRR3yXJDXp4UrNgw8+OH/+/FOnTsn5MnfuXHnpXZLUuNBgZR7Xcf/mm2/27t3beqoddLVq2rTphQsXrGmZaNasWfh8pMZ3/M+dO7d161b50DZ16lTvT0lNGrjyIoP58MMPH61TWlo6fvx471vIS3r4njKXLl269tpry8vLfd9CatLDlZrDhw936dLF+m6WTHzyySfet5AaFxqszOM67nv27PnOO+/4/sjGB4v0CHkmePDgQd/hJTVp4MqLjK0MqTUtPVZeXp73LeQlPXxPmbVr144cOTLoLaQmPVypGTJkyOzZs+3vYMlL71tIjQsNVuYJ/70b3wsWj8bTI6TBqqioyM/P984nNWngyktJSYn0VdZ0ZWWlb4NFXtLD95S54YYb3n333aC3kJr0cKWmdevWQd/BspEaFxqszJPIV6ddL1esWOH7SxxB85Ea1/iXlpbu2LHj/Pnz5eXl8oFvypQp3iVJTRq48rJq1aoxY8bYjwid3/UhL2nmvZpt3Ljx1ltvDVmS1KSH97cI586da93BevLJJ51NEqkJQoOVSeq9UxXUYNXW1k6fPt36EyYzZ850/nkS3/lIlm9q1q1b16tXr1atWhUXF8+ZM6empsa5vDVBahpV0Ckzf/78vLy83NzcsrIy3y+5k5fGFpSakpKSDRs2+C5vTZCaxuabmj179gwfPvx/6tx5550fffSRc3lrgtS40GABAABEjAYLAAAgYjRYAAAAEaPBAgAAiBgNVsZ44403Bg8enJWVVVBQMGHChBMnTljzk/3/NYPW4xL09o0bNw4YMKBVq1by9nHjxlVWVia1t1VVVWPHjm3Xrl1eXt6CBQsiGhsAAMxCg5Uxhg4dumnTpurq6qNHj06cOHHEiBHW/GT/f82g9bgEvX3QoEHr16+XPunMmTMLFy6ULiqpvR0/fnxpaWllnVGjRq1evTqq8QEAwBw0WBlJmps2bdpY0w35227O9bgk8nbpn3z/3FzIVtq3b+/8G48lJSX1vh0AgIxDg5WRNmzYMHDgQGu6If87gXM9LvW+/ezZs0uWLAm6ARa0FWmwnP9LiZ7/MwEAoAoNVubZvn17t27ddu/ebb1M+f/XdK3HJfzt1h+g69Chw969e5Pa27KyMvuPaI8ePbp58+aJhAwAQGahwcowmzdvLioq2rJliz0ntTtY3vW4/m5vvXewTp8+vWDBgv79+/u+PWgrJ0+elL4qNzc3Pz9/0aJFHTt2TGUUAAAwGw1WJlm7dm2nTp22bdvmnJnCd7B81+OSyHewpMcK+gpXIltZvny5NFsh+wAAQIaiwcoYS5cuLSoq2rlzp2t+sv+/ZtB6ElxtWVlZeXn5hQsXDh06NHny5KDvYAVtZcyYMRUVFVVVVWvWrCksLNy1a1dSgwAAQEagwcoYTTyqq6svJ///awatxyXo7dZ/YNyyZUtpjyZOnHjy5Mmk9nbVqlWdOnXKzs4eOnTo9u3bIx8lAABMQIMFAAAQMRosAACAiNFgAQAARIwGCwAAIGI0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMRosAACAiNFgAQAARIwGCwAAIGI0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMRosAACAiNFgAQAARIwGCwAAIGI0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMRosAACAiP0v+zAyNO6jWYUAAAAASUVORK5CYII=)
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