Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit388-06-20030103_171800_20030103_220300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/03 |
Start Time | | 2003/01/03 17:18 |
End Time | | 2003/01/03 22:01 |
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 | | 15.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit388-06-20030103_171800_20030103_220300-constBx0 |
Minimum Dst Value | | -33 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxMjozMToxMyBFU1QgMjAxOcItbokAAAHPdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODgtMDctMjAwMzAxMDNfMjIwNDAwXzIwMDMwMTA0XzAyNDkwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItNCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMy0wMS0wM1QyMjowNDowMC4wMDBaIiwgIm1heCI6IjIwMDMtMDEtMDRUMDI6NDc6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjo2LjMyMzcwOTk5OTUsICJtYXgiOjEzLjY2MDQ5MDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX2aUBRdAAAABGdBTUEAAK/INwWK6QAAITxJREFUeJzt3XuMFeX5wHHkuiwt3QULLrILK8VKU6gSNSAXAUFBRNEaSqWASu22itG2XOXWbQu0TSHGRMBSbPxDudjgRgs0xkobqZVISVsqyE0QsCy3LrAouAr7e347+U3mN7czc3b28J55vp8/yJw5M+/M874z8zxn5iynWT0AAAAS1exy7wAAAEDaUGABAAAkjAILAAAgYRRYAAAACaPAAgAASBgFFgAAQMIosAAAABJGgQUAAJAwCiwAAICEUWABAAAkjAILAAAgYRRYAAAACaPAAgAASBgFFgAAQMIosAAAABJGgQUAAJAwCiwAAICEUWABAAAkjAILAAAgYRRYAAAACaPAAgAASBgFFgAAQMIosAAAABJGgQUAAJAwCiwAAICEUWABAAAkjAILAAAgYRRYAAAACaPAAgAASBgFFgAAQMLSWWA1a5bOuACgSTXFxfPtt9/u2bNnxpabYtOXKxeQg1CvrcDioAeAEE1xkRw4cOD69esvy6YpsBKUyqCaVDr7K+5HpQ0bNgwePLhNmzYlJSWTJ0+urq625u/fv/+uu+4qaiAT8jJ8vsulS5dmzJghyxQXF8+aNUte2lt3at++ve/qmzZtGjZsWEFBgezVlClTTp48Gd5s0Pyg6IKWd+5hlHCC2o8VVNxgLSdOnCgtLXXuZ9zOyeueD+oEX0GNBAUb1HhNTc2kSZM6dOhw5ZVXLliwIGP7sXq+Kbh6xu7hK664onPnzuPHjz98+HDI6lns/9GjRx999NHu3bu3atVK1ho5cqQcCb4745opE1/72tecm5DpXr16ORew39q1a9d9990nA9G6desbb7zx5ZdftuafPn1a9rNnz55t27aVrd9zzz1vvPFGxn327kzWC3jJJe7ChQuN33QWmromCBqF7Lab4N6GXxZyWSppLsvSGXnca8TQoUPlA5ZkjrNnz1ZWVkq+seb3799/zpw5NQ1mz54tL8Pnu6xYsaJv374fNJCJlStXepdZunTptGnTfFcfMWLExo0ba2trjx07VlFRMXr06PBmg+YHRZdx91y9FLf9WEHFDdYiaWzRokXO/YzbOXnd80Gd4CuokaBggxp/8MEHpSipbjBu3Ljnn38+u87JGW+BZU1cvHjxo48++vGPfzxw4MCQ1ePu/5EjR7p16ybN7ty585NPPpGC9bXXXrvjjjt8d8Y1UyYkSb/66qv2W6+88orM8RZYe/bskerw17/+9Ycffii1yzvvvPPNb37Teku29cgjj8gCn3766fHjx9euXXvrrbeG77PvzmS9QNar5F2BFTIKl73ACr8sUGDlRp5FLgfxE0880bmBTNifimQIpVLp2rWrfCq1Xv7yl7/s1KmTfLB47LHH5EJjL1b//28geTchmaawsNCalglJjdb0mTNnMs53kcJLUpc1LRMDBgxwLSA7Vl5eLlfkjIHL5tq1axfebMbNuaLLuLyrf+K2HyuooPkhG5UE1qNHj/Pnzzv3szGdk3EnDex5307wFWUnXSPi23jHjh2lFLOmpcayq5NG9vxnn302b968srKyoqIiyVjWzJDzffny5VLHFBQU9OvXb8eOHdb8N95444YbbpCZ8pZVCXlPdldHnT59um3btjLx/e9/3y4WxapVq2RO+P779vnDDz8sH7p8Ywxaxblv69atc25Conv55Ze9O//AAw/8/Oc/992EhCNBBe2Ac6MhF8n6gM4Pv3jGXcV73fYd1qDDwGn37t1S3Egs7du3v/fee0+cOBElnPCNygEgDcry0lG+8YaMQtDxZr+McqzKZ4Cf/exn3bt3Ly4ufuihh86dO+fbb17hlwXfk8LZYMbODNox71ns3VaUJD5o0KDVq1fbOyz1a0lJSZSj2jR5VmDJ4A0fPvxwg6FDh86fP9+aL2Nzzz33yOdR+6UsdqSBTPzkJz+x57smXORAWbx4sf0h/v7775dNyLjW1NTMnTtXXobPd5Gj0z405aOkHHOuBeS8kqMzSuBVVVVDhgwJbzbj5lzRZVze1Utx248VVND8kI3eeeedL774oms/s+6cKDtpYM/7doKvKD3gGhHfxqXAktWtaam0MnZCxJ6XRCWb3rdv33//+98nn3zSmhlyvo8dO/bAgQPSsZWVlXZFIlfh3//+93LJlivylClT7IWdG3ImiaNHj86cOdO6wSMVxuDBg9euXSvTa9askem6urrw/fftc9kHyU++MQat4rwuyV717Nnzr3/9q7zcvHmzTMsc74VLklPQNxNGjRo1bty4LVu2fPLJJ0G7UR/hIhnS+UFtxl3Fe932HdagZp369Onz5ptvSshyWZ46dep3v/vd6OH4blQu7NKTHzW4/fbbfUMIGYWMBVaUY3XJkiW33XbbBx98ICfFd77znR/96Ee+/eaV8bLg3Stngxk7M2jHfM9i17aiJPE//vGPvXr1kiPfekv65xe/+EVQsCbLswLrmmuuee+996xp+aghRbo1LWNz8OBBezF5aS/273//27mYa8LJqrLlI93evXutOdbdfmu+TNjHX9B8l+bNm1vXaCETLVq0cL4rR8+1114rHzUyRr19+/by8nL7qh3UbPjmvNGFL1/v6aW47ccKKm6wr7/++s0332x9W8W5n9l1TsSdNK3ngzrBV8aNuoINanzixIkTJkw41kA+wbds2bIxnWP7yle+Yt88sIWc71IbWdMff/yxdQtKlJaWPvPMM4cOHXI24s0lTvIRXC4R1lvV1dXSA7NmzZJ/7S/MxT1ypEOclY33VoF3Fde7zz333N13313f8LDvN7/5jXcBayvnz5/33YEzZ85IDvvGN75RUFAgHTht2jTfj/4ZL5IhnR8Ue9xVvNdt32ENajaI9EDXrl2jhxO00V27dlnTsqJvCCGjkLHAinKsXnfdde+//741LQek5Bp7MWe/uUS5LHj3KqhB384M2jHfs9i1rYhJ/KabbrJqxD179sgOyNAExWuyPCuw5JJhH9AyIS+taRkb1zeFgxZzTbjIwbRgwYJBgwZZL6XQnj17tv1dK3kZPt91MQ3/7C6fkseMGeOc41rdIp9iy8rKtm7das/J+laBK7rE72C52g/hDSpusL17937rrbe8+5ngHSzzez6oE3yFb9QbbFDjp06dkrpK6hL5+L5w4cKrrroqvP2g+a6j3Xlq20LOd+di9su///3vY8eO7dixY8+ePe3nekELW/szZ84c57cG5fO0LGA/o8zYb17SId6PDfZGW7Vq5XrCJXFJDedcTBYoKSl56aWX5F/7KZurnZB7Jza5JErlNHnyZN+byhkvkhE73ynuKt7rtuvd8Gad3n33XRlHOSytg8qug+OG41zeHqmgZ22NuYMV5ViVas/5YcB5nIT8ZUyUy4J3r5wNZuzMoB3zPYtd24qYxKuqqr761a9+/vnn3/72t6US9Y3CfHlWYEX8hOT8cCYT3sWCHl3XN+RC+2sochj5ftcqaL5L+LdPrr/++i1btoSG+79FWJcuXbZt2xal2ShfdnFG1xTfwXK2HyuooPlBG23mEb583O9g5UXPB3WCr5CN+gYbpfFnn31Wiq3w9iP2vKSZWHewXLvqfCmX6T/84Q925ec62V0Ly4ls37T4xz/+IZ+V169ff/XVV9u3G+MeOVLQzJo1yzXT3mivXr3eeecd51t/+9vfunfv7lps8eLFLVu2tB+LeLO1dPuiRYvC98QiHwK/+MUveudnvEgGdX7IxTOLO1hRXka5gyUzX3jhBan+JSXLv94ei3ssRbmDFTIKzkLNvvty9OjRWMeqVBgHDhwIaTxo0xnP3PCTImNnBu2Y71ns2lbEgZCekUpx+vTpcnbYXxDMO3lWYMnHTfvxrZTYc+fOteZ7T5Lbb7/d+nqBTHi/CvDlL3/Z+Wxu4sSJ8rKuru7QoUNTp061P/DJtVU2Yd2peuqpp5w5w3e+y/Lly4P+/mjDhg233HJLeLBLliwpKyuzT/KMzQbND4ouZPd8ezVu+7GCihts0H7G7ZxYO2laz4es4hXUSFCwQY1PmDBBzj458levXl1aWmo/KWhkzy9cuHDIkCH79+93fnsj+vluTYwfP16u3XI5lqQlJaM103WyO9c9efLkvHnz+vXrV9/wPTm5oP/lL3+R6VdfffWGG26wnvSF7L9vnx88eFA2bf8VoYTz2muv2UtKSSpb+fOf/3ymwebNm7/+9a//6le/Cmmw3q/A2rNnj2TlpUuXSs9cuHBh69at9t+v3XrrrWvXrq2urpYDT/a5oqJi1KhRvm2GXySDOt/Vn04RxyuoA4NeBjXrJL3xyiuvSFfIISRd4e2xuMeSLG9/B+uOO+7wDSFkFOzlJTtUVlbK0SVjcffdd8c6Vp9++mnZZ5kji/3rX//61re+Fd6fXkFLhpwU9RE6M2jHfM9i17aiHyTywU9m/va3v40SkZnyaV/rG+4oPv7449YfIMiEfafRe5JYfyBTXFz8gx/8wPl3CtaEJJWioiL75bp16/r06dO6dWtJGHI9kprdmi/nz8iRI7/UQE62ffv2hc93kRpcCnDrv8uaOXOm8/7nwIEDq6qqwoP1fhCpra0NaTZoflB0Ibvn+wEobvuxgoobrKvNjH0epZ286/mgTvAV1EhQsEGNr1q1SvJBYWHhiBEjtm/fnlTPSzUgn1W6du0q56xkLGtm9PPdmpCaTz5bFxQUSHn05ptvWjNdJ7sz0g4dOkjOs87fSZMmWV94ssg+WH+AEj5YvrF8+OGHDz/8sPRSy5YtO3bseO+997799tt2b/zud7+78cYbrauHTLzwwgsZG2zmyXD1DX8pJi3LXskBdtNNN9n/A9Of/vQnmS/dKP1QXl7+2GOP+Z6SzTJdJIM639WfThHHKyjeoJdBzTrJR1YZ+latWsmnhWeeecbbY3GPJVnge9/7nnSOdNFPf/pTadk3hKBRsNvZsWOHVPDWXwsuW7Ys1rF68eJFieW6665r06aN1OV2ysh4snvDcfGeFM53M3Zm0I75nsWubUU/SKQze/bs+dlnn0WJyEz5tK8AgETkV6K6vP75z39KqXq59+Iy+/zzz+2/aMmNMWPGvPTSS7ncYuI4xwBAHQqsjJ588smjR48ePHjwtttu++EPf3i5d+cye/fdd+2/FmxqFy9efO6553r37m3/Tw15inMMTcL74MnAC3pe7GRcqQwKieOoyOjpp5/u2rVrp06dHnnkkTz9bwIS9IUvfGHZsmW52ZYcnN27d5eSLjebazqcYwAAAAmjwAIAAEgYBRYAAEDCKLAAAAASRoEFAACQMAosAACAhGkpsHz/dh0AAOTY5a4IckRNnGpGFAAAY+lJx2mOU2fJDACAsfSkYzVxqhlRAACMpScdq4lTzYgCAGAsPek4zXHyiBAAAKPoScdq4lQzogAAGEtPOk5znNzBAgDAKHrSsZo41YwoAADG0pOO0xwnd7AAADCKnnSsJk41IwoAgLH0pGM1caoZUQAAjKUnHac5Th4RAgBgFD3p2KA4fSuhDRs2DB48uE2bNiUlJZMnT66urs668ST2EQAAZE9POjYuTlfXDx06dP369TU1NWfPnq2srBw2bFispriDBQCAOfSkY+PiDOn62trawsLCxJsFAAC5oScdGxdnUNefO3du8eLFo0ePTrZZAACQM3rSsXFx+na99YyvU6dOe/fuDV83RJPtMgAAiERPOjYuzqCuP3PmzIIFCwYNGpRsswAAIGf0pGPj4gzpeqmx2rVrF6sp7mABAGAOPenYuDhdXT9x4sSdO3fW1dUdOnRo6tSpzu9gxRokPSMKAICx9KRjg+L0veG0bt26Pn36tG7durS0tKKi4tSpU87lYzWe8O4CAICY9KTjNMfJI0IAAIyiJx2riVPNiAIAYCw96TjNcXIHCwAAo+hJx2riVDOiAAAYS086VhOnmhEFAMBYetJxmuPkESEAAEbRk47VxKlmRAEAMJaedJzmOLmDBQCAUfSkYzVxqhlRAACMpScdq4lTzYgCAGAsPek4zXHyiBAAAKPoScdq4lQzogAAGEtPOk5znNzBAgDAKHrSsZo41YwoAADG0pOO1cSpZkQBADCWnnSc5jh5RAgAgFH0pGOD4vSthDZt2jRs2LCCgoKSkpIpU6acPHky68aT2EcAAJA9PenYuDhdXT9ixIiNGzfW1tYeO3asoqJi9OjRsZriDhYAAObQk46NizOk68+ePduuXbvEmwUAALmhJx0bF2dI11dVVQ0ZMiTxZgEAQG7oScfGxRnU9du3by8vL9+9e3f4uiGaZn8BAEBUetKxcXH6dv3mzZvLysq2bt2abLMAACCX9KRj4+L0dv2aNWu6dOmybdu2LJriDhYAAObQk46Ni9PV9UuWLCkrK9u1a1fGJWM1CwAAck9POjYoTt8bTt6vUtXW1tpvxWo8+T0GAABx6EnHaY6TR4QAABhFTzpWE6eaEQUAwFh60nGa4+QOFgAARtGTjtXEqWZEAQAwlp50rCZONSMKAICx9KTjNMfJI0IAAIyiJx2riVPNiAIAYCw96TjNcXIHCwAAo+hJx2riVDOiAAAYS086VhOnmhEFAMBYetJxmuPkESEAAEbRk47VxKlmRAEAMJaedJzmOLmDBQCAUfSkYzVxqhlRAACMpScdq4lTzYgCAGAsPek4zXHyiBAAAKPoSccGxRlUCSVSIekZUQAAjKUnHRsXZ1DXZzEk3MECAMAoetKxcXEmWGAluDoAAGg8PenYuDgpsAAASCs96di4OBtTYDULlfSeAgCAePSkY+Pi5A4WAABppScdGxcnX3IHACCt9KRj4+KMXmDFGiQ9IwoAgLH0pGOD4gy64RQyP1bjSe4rAACIT086TnOcPCIEAMAoetKxmjjVjCgAAMbSk47THCd3sAAAMIqedKwmTjUjCgCAsfSkYzVxqhlRAACMpScdpzlOHhECAGAUPelYTZxqRhQAAGPpScdpjpM7WAAAGEVPOlYTp5oRBQDAWHrSsZo41YwoAADG0pOO0xwnjwgBADCKnnScfJznz5+fO3dujx49CgoK5N/58+dfuHAh8a3EpWdEAQAwlp50nHycjz/++LBhw3bs2CGVlvw7dOjQJ554IvGtRMEdLAAAjKInHScfZ+fOnQ8fPmy/lGmZk/hW4tIzogAAGEtPOqbAAgAAOaInHTfJI8Lhw4e/995758+fl39lmkeEAACgngKrMaSumjNnzjXXXFNQUCD/zps3L+KX3H0roUuXLs2YMaOoqKi4uHjWrFnyMru90jOiAAAYS086Ni5OV9evWLGib9++HzSQiZUrV8ZqijtYAACYQ086Ni5OV9f3799/48aN1rRMDBgwIJFmAQBA7ulJx8nHuWPHDimD2rZtm93dI9fC7du3P3HihDV9/PjxoqKi7PZKz4gCAGAsPek4+Tj79etXWVn58ccfZ7e6q+ubN29eV1dnTctEixYtwtcNkd3+AACApOhJx8nHWVBQcO7cuaxX5w4WAABppScdJx9nt27dDhw4kPXqCX4HiztYAAAYRU86Tj7OZcuWjR079ujRo9mt7ur65cuXB/0VYWO+2gUAAHJPTzpOJs7wLz9F7E3fVS5dujR9+vSiBjNnznT+P1gUWAAA5Bc96TjNcfKIEAAAo+hJx8nHecUVVyTeZuPpGVEAAIylJx0nH+fVV1/9n//8J/Fms8AdLAAAjKInHScf59KlS++7776DBw9m/buBTUHPiAIAYCw96Tj5OM38Tz5N2AcAAJTTk47THKdpRR4AAMrpScdq4lQzogAAGEtPOk5znNzBAgDAKHrSsZo41YwoAADG0pOO1cSpZkQBADCWnnSc5jh5RAgAgFH0pGM1caoZUQAAjKUnHac5Tu5gAQBgFD3pWE2cakYUAABj6UnHauJUM6IAABhLTzpOc5w8IgQAwCh60rHpcdbU1EyaNKlDhw5XXnnlggULsm5Hz4gCAGAsPenY9DgffPDB8ePHVzcYN27c888/H31d7mABAGAUPenY9Dg7dux47Ngxa1pqrIEDB2bXjp4RBQDAWHrSselxSoF1/Phxa1oqraKiouza0TOiAAAYS086Nj3OiRMnTpgw4ViDBx54oGXLliELNwuVs30GAAC+9KRj0+M8deqU1FXFxcWdO3deuHDhVVddlV07ekYUAABj6UnH+RTns88+K8VW9OW5gwUAgFH0pGPT45wwYcLhw4drampWr15dWlr6/vvv22/FGiQ9IwoAgLH0pGPT41y1alWXLl0KCwtHjBixfft251sUWAAA5Bc96TjNcfKIEAAAo+hJx2riVDOiAAAYS086TnOc3MECAMAoetKxmjjVjCgAAMbSk47VxKlmRAEAMJaedJzmOHlECACAUfSkYzVxqhlRAACMpScdpzlO7mABAGAUPelYTZxqRhQAAGPpScdq4lQzogAAGEtPOk5znDwiBADAKHrSsZo41YwoAADG0pOO0xwnd7AAADCKnnSsJk41IwoAgLH0pGM1caoZUQAAjKUnHac5Th4RAgBgFD3p2PQ49+/ff9dddxU1kAl5mV07ekYUAABj6UnHpsfZv3//OXPm1DSYPXu2vIy+LnewAAAwip50bHqchYWFZ8+etabPnDkjL7NrR8+IAgBgLD3p2PQ477///vnz558+fbqmpmbu3LnyMrt29IwoAADG0pOOTY/zyJEj3bp1s57xycRHH30UsnCzUDnbZwAA4EtPOjY9zuHDh8+ePdv+Dpa8zK4dPSMKAICx9KRj0+Ns27Zt1t/B4g4WAABG0ZOOTY+zf//+c+fOte5gPfXUUwMGDLDfijVIekYUAABj6UnHpse5Z8+ekSNHfqnBqFGj9u3bZ79FgQUAQH7Rk47THCePCAEAMIqedKwmTjUjCgCAsfSk4zTHyR0sAACMoicdq4lTzYgCAGAsPelYTZxqRhQAAGPpScdpjpNHhAAAGEVPOlYTp5oRBQDAWHrScZrj5A4WAABG0ZOO1cSpZkQBADCWnnSsJk41IwoAgLH0pOM0x8kjQgAAjKInHauJU82IAgBgLD3pOM1xcgcLAACj6EnHauJUM6IAABhLTzpWE6eaEQUAwFh60nGa4+QRIQAARtGTjk2P01UktW/fPut2kt0xAAAQl550nE9xLl26dNq0adGX5w4WAABG0ZOO8ybOTz/9tLy8/MiRI9mtrmdEAQAwlp50nDdxrly58qGHHsp6dT0jCgCAsfSk4/yI8+LFi9dee+3OnTvDF2sWKje7CgAAguhJx/kR55o1a8aMGdOYFvSMKAAAxtKTjvMjzuuvv37Lli1x1+IOFgAARtGTjvMgzg0bNtxyyy3e+bEGSc+IAgBgLD3pOA/iHDhwYFVVlXc+BRYAAPlFTzpOc5w8IgQAwCh60rGaONWMKAAAxtKTjtMcJ3ewAAAwip50rCZONSMKAICx9KRjNXGqGVEAAIylJx2nOU4eEQIAYBQ96VhNnGpGFAAAY+lJx2mOkztYAAAYRU86VhOnmhEFAMBYetKxmjjVjCgAAMbSk47THCePCAEAMIqedKwmTjUjCgCAsfSk4zTH2QwAABjmclcHOaIlzmTl5vhgK2wlHVvJ2YbYCltJzYbYSgooDbuR0nRQshW2kpoNsRW2kpoNsZUUUBp2I6XpoGQrbCU1G2IrbCU1G2IrKaA07EZK00HJVthKajbEVthKajbEVlJAadjIMbUnmOEYF2MxNMZiaBARBwpygUuSmRgXYzE0xmJoEBEHCnKBS5KZGBdjMTTGYmgQEQcKcoFLkpkYF2MxNMZiaBARBwpygUuSmRgXYzE0xmJoEBEHCgAAQMIosAAAABJGgQUAAJAwCiwAAICEUWABAAAkjAILAAAgYRRYAAAACaPAQmybNm0aNmxYQUFBSUnJlClTTp48ac3fsGHD4MGD27RpI/MnT55cXV3tXffSpUszZswoKioqLi6eNWuWvAyfj+ga07eMS5MK6cZm/yfuugxNIoK6MegqF2VdhgYWCizENmLEiI0bN9bW1h47dqyiomL06NHW/KFDh65fv76mpubs2bOVlZVyefKuu2LFir59+37QQCZWrlwZPh/RNaZvGZcmlbEbQwoshqZJBXVj0FUuyroMDSwUWGgUqaXatWvnnS8XpsLCQvulnT/69+8vly1rWiYGDBgQPh/RZdG3jEtuZOxGb4HF0ORGlG50XeUYGkREgYVGqaqqGjJkiGvmuXPnFi9e7PzMZ1+S2rdvf+LECWv6+PHjRUVF4fMRXRZ9y7jkRsZuDCmwGJomFaUbXVc5hgYRUWAhe9u3by8vL9+9e7dzpvWFkk6dOu3du9e7SvPmzevq6qxpmWjRokX4fETXmL5lXJpUxm4MeUTI0DSpjN3oe5ULX5ehgYUCC1navHlzWVnZ1q1bvW+dOXNmwYIFgwYN8r7FZ76m05i+ZVyaVBZ3sDKuy9AkIrwbQ65yIesyNLBQYCEba9as6dKly7Zt24IWkBrL97tZfGuh6TSmbxmXJpXFd7AyrsvQJCKkGzNe5RgahKPAQmxLliyRT3W7du1yzZ84ceLOnTvr6uoOHTo0depU3+9gLV++3Pfva4LmI7os+pZxyY2M3RjyHSyGpkkFdWPQVa6eoUFkFFiIrZlHbW2tzF+3bl2fPn1at25dWlpaUVFx6tQp5yrWxKVLl6ZPn17UYObMmc7/OcZ3PqLLom8Zl9wIHwIn5/zwdRmaRAR1Y9BVrp6hQWQUWAAAAAmjwAIAAEgYBRYAAEDCKLAAAAASRoEFpETQz9PG/UnaKD/aHbJ6fYQfMA5fXZw4caK0tDS8BQAwGdcvICWCfp427k/SRvnR7pDVbeHlUfjqjz766KJFiyiwAOQvrl9ACjl/nrYx/x2i60e7nRrzn2eGr75z584ePXqcP3+eAgtA/uL6BaSQ8+dps/5BD++Pdjs15udfwle/8847X3zxxYwtAIDJuH4BaeP6edrsfpI2/Ee7M65en6k8Clr99ddfv/nmm62vZFFgAchfXL+AVPH+PG3Wd7BcP9rt+up63DtYEVfv3bv3W2+95dsCAOQRrl9Aevj+PG1jvoMV9KPdUVbP7jtY3p8oCWkEAIzFxQtIiaCfp437k7QhP9odpVlbeG0U5Qdxqa4A5C+uX0BKBP08bdyfpA350W6nLH7AOOLqznYa0yEAcBlx/QIAAEgYBRYAAEDCKLAAAAASRoEFAACQMAosAACAhFFgAQAAJIwCCwAAIGEUWAAAAAmjwAIAAEgYBRYAAEDCKLAAAAASRoEFAACQMAosAACAhFFgAQAAJIwCCwAAIGEUWAAAAAmjwAIAAEgYBRYAAEDCKLAAAAASRoEFAACQMAosAACAhFFgAQAAJIwCCwAAIGEUWAAAAAmjwAIAAEgYBRYAAEDC/gdL3jxEj9sBQwAAAABJRU5ErkJggg==)
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