Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit373-09-20021129_151400_20021129_195900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/29 |
Start Time | | 2002/11/29 15:14 |
End Time | | 2002/11/29 19:57 |
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 | | 20.53 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.62 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 137.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit373-09-20021129_151400_20021129_195900-constBx0 |
Minimum Dst Value | | -26 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAyMzo0MTowNCBFU1QgMjAxOXlAyuUAAAHKdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNzMtMTAtMjAwMjExMjlfMjAwMDAwXzIwMDIxMTMwXzAwNDUwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIElNUC04IHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTExLTI5VDIwOjAwOjAwLjAwMFoiLCAibWF4IjoiMjAwMi0xMS0zMFQwMDo0MzowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcyMiwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjEuODkwMDA5OTk5NSwgIm1heCI6NC45MDU5OTAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19frnEtQAAAARnQU1BAACvyDcFiukAACLcSURBVHic7d1/cBR3/fhxyq+ERPO5FARDSUoa0eJAtEzLgAEKNPQHsS2tWvEHRYs1SmGKWkhqoBi1oI4wpTM2VKxO/6CF1KGZVoLD1KJDrWVARo0NAm0hoBIISEloE1JIvq/Jzuzsd/d2s5fsJe/c6/n4g9nb21+v92tvX6+93HGDOgEAABCpQf19AAAAAKmGBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIqa0wRo0SGngANAbybh4vv766xMmTOh2y8nYNbUAyaP03PJ7UfFiA4AAybhIzpgxY8eOHf2ya675FsYhGZSOaaK3Sjt37pw1a1ZaWlpOTs7ixYsbGxvtxZyysrKCl4+7I4tzZkdHx6pVq2KxWHZ2dnl5uTyMu+6uXbvmzp2bnp4ue1myZMnZs2eDV/eb77cdv8Pzm++3nfPnz99///1XX331qFGj1q5d6zcU0QYV1fwBMfJ+51tCQfVsZJqamnJzc53H43pR9HL7fcA1mPaRX3XVVWPGjFm4cOHJkycDVu/B8Z86dWrp0qXjx48fNmyYrHX77bdLBuMejGumTHzyk5907kKmJ06c6FzAfurQoUP33nuvvO6GDx9+4403vvDCC9b8d999V45zwoQJI0aMkL3ffffdr7zySrfH7D2YHi/gJVfOtra23u+6B5LaWCSUOIuccnK1dF4KnN5+++3PfvazsS4yIQ8DdtoHaMuCKR2dRK8Rc+bMkRssaRSam5srKyulKHpX2bhx4yOPPBJ++YDdbd68ecqUKe90kYktW7bEXWvevHm1tbUtLS2nT58uLS0tKSkJXt1vvt92/A7Pb77fdr72ta9JlWrsct999/36178OGIqogopq/oAYeb/zLaGgejYy0iisW7fO1WBFuP0+4G2wrIkrV6785z//+d73vjdjxoyA1RM9/n//+9/XXnutbLa+vv7999+XUvryyy/fdtttcQ/GNVMmpFV66aWX7KdefPFFmeNtsI4cOSKl+uc//3lDQ4P0Lm+88cbnPvc56ynZ14MPPigLXLp06cyZM9u3b7/55puDjznuwfR4gR6vMqAbrJCJk9PjC1/4wpe//OW4G5w+fXpFRcX5Lo8++qg8DNhpH6DBCpZqoyOXkocffnhMF5mw74rkPJAGaNy4cXJXaj386U9/Onr0aLm9e+ihh+RCYy/W+f/fgnt3IeUwIyPDNVO2kJ+fL6+NkMu7uHYkLxupu9a0TBQVFXUbuFTWzMzM4NXDbNa5Hb/D63a+azsjR46UBsKalh4ruFz5bSTRoKKan9SD9NuOrQcj7zzfEgqqBwcvLUJBQUFra2uYBquXI//BBx+sWbMmLy9P7t2lb7BmBrzeq6qqpI9JT0+fNm1aXV2dNf+VV1654YYbZKY8ZXVC3he76/jffffdESNGyMS3vvUt573BM888I3OCjz/uUDzwwANSGuPG6LeK89iqq6udu5DoXnjhBe/BS4X+8Y9/HHcXEo4E5XcAzp0GXCQ7fQY/+OKZ6Cre63bctPqdBk6HDx+WFlNiycrKuueee5qamsKEE7xTOQFkg7K8DFRUiRNytZRrpndrQl7acqGwpi9cuOCtLHHPZ+cYdjsOcl/xox/9aPz48dnZ2V//+tcvXrxozfe+AL37ClN/Z86c+fzzz9sHLDcAOTk5YU7IgSjVGiw5A4qLi092kdv6xx57zJovCb777rvlftR+KIv9u4tM/OAHP7DnuyZc5Gxbv369950GuVjLuRh+eRfX7uTUt897ucWUEzp4dVFTUzN79uzg1cNs1rkdv8Prdr5rO3KxkN1Z03LtCBOOdyOJBhXV/KQepN92bImOvOt8SyioHhz8/Pnzt27d6joemR41apRc+idNmrRp06bLly/3ePtO0i7I+Lz11lv/+9//VqxYYc0MeL0vWLDg2LFjMiCVlZV2YZNL+W9/+1u57stlfcmSJfbCzh05K82pU6fKysqsN3ikw5g1a9b27dtletu2bTLd3t4efPxx0yTHIEUubox+qzivS3JUEyZM+POf/ywP9+zZI9Myx3vhkgoX9+9H4o477rjvvvtee+21999/3+8wOkNcJAMG32+bia7ivW7HTavfZp0KCwtfffVVCVlq+bJly77xjW+EDyfuTlevXi0j+Z8ut956a1SJ6wxssD7/+c/LgUkI58+flwOQhwE7jTuG3Y7Dhg0bbrnllnfeeUdeaF/96le/+93vWvPjvgBd+wpTf3//+99PnDhRYreekpfhT37yk7jBpoBUa7Cuu+66N99805qWWw25vbamJcHHjx+3F5OH9mL//Oc/nYu5JpysVl1u6Y4ePeqcL+fKxz/+cbmbD7l83C07Hw4ePNi6dguZGDJkSPDqBw8ezM/Pt6/afqt3u1nXdvwOr9v5ru0sWrToK1/5yukucmM9dOjQ4HAiCSqq+Uk9SL/t2BIaee/5llBQiR787t27p06dan2sxHs80sTs379fqpF9Le7lyH/sYx+z3zywBbzepTeypt977z3rLSiRm5v75JNPnjhxwrkRb0Fykvt4uURYTzU2NkqaysvL5V/7g26Jnjly/js7G+/7Dd5VXM8+/fTTd911V2fXH/t++ctfehew9tLa2hr3AC5cuCCF8FOf+lR6eroM4COPPBL3/YNuL5IBg+8Xe6KreK/bcdPqt1k/MgLjxo0LH47fTg8dOmRNy4pRJU66kIVd4h659fdl64SRCbttirtT+6FzDLsdh+uvv/5f//qXNS0nuezFmo77AnTtK2T9vemmm6wbsyNHjsgByKjGPbwUkGoNllwy7MuKTMhDa1oS7PyAoTz0W8w14SJn5Nq1a2fOnOmcKbezd955Z5jlXRdT5/E4H/rdE8ddXW6G8vLy9u3b1+3qwW8VeLfjd3jB873bOXfunPRVUqjkrvrxxx//6Ec/Gndr0QbVB+9gmTbynZ7zLanvYE2ePHnv3r3Bx9PQ0NDjkXed7c6Xti3g9e5czH7417/+dcGCBSNHjpwwYYL9dz2/ha3jqaiocH6GUm7KZQH7b5QBx+9Hzv+ATnrYsGGuv3BJXNLDOReTBXJycp577jn51/4rm2s7Ae9g2eSSKJ3T4sWL477F3u1FMuTgOyW6ive67Xo2eLNO0u5LHuUqZJ1Udh+caDjO5e1Muf5K7l04TOLsGyS5HbXf8ne9CoqLix999FH7M1jyMGCn9kPnGHY7DtJBOm8w7HMv7gvQta+Q9bempuYTn/jE5cuXv/SlL8kNjzeElJFqDVbIOyTnzZlMeBez/lwdl9Qw12dlPv3pT7/22mvhl/dyHV74j85Ibzd27NgDBw6EWT1gs3G343d4AfODtyN+8Ytf+H1+M3gjpn0Gy7SRtznPt6R+BmuQh3ebJ0+elErfs+27SEuU0DtYzsVcD+Va/7vf/c5u9F0vdtfCzc3N9psWf/vb3+SGe8eOHddcc439NmGiZ440NOXl5a6Z9k4nTpz4xhtvOJ/6y1/+Mn78eNdi69evHzp0qP23FW+DJa+ydevWBR+JRUr1hz/8Ye/8bi+SfoMfcPHswTtYYR6GeQdLZj777LNysyd1Xf71jlii51IP3sHqDJG4YHIqBn8Gq7O787nbcZDW59ixY97Nxn0BuvYVcgzlBSi3ZytXrpQT2/5sX0pKtQZLbjftvwFLn7569WprvvdFcuutt1ofL5AJ70cBPvKRjzj/5Ldo0SJ52N7efuLEiWXLljlv+Hbu3PmZz3zGdRgBy8flOryqqqow30vasGFDXl6e/SLvdnW/+X7b8Ts8v/l+25EbMkmHXMeff/753Nxc+/3npAYV1fykHmRUI+93viUUVG9Gxnk8CxculGurXDflkOTFuHz58t5vXzz++OOzZ89+++23nR8BCf96t49NCoAcmzRY0tdaM10vdue6Z8+eXbNmzbRp0zq7Pt8mVeFPf/qTTL/00ks33HCD9Ze+gOOPm77jx4/Lru1vEUo4L7/8sr2k3IHIXv74xz9e6LJnz55Jkyb97Gc/C9hgZ7w6feTIEekgN27cKCPT1ta2b98++1uEN9988/bt2xsbG+WEkWMuLS2944474m4z+CLpN/iu8XQKmS+/AfR76LdZJxmNF198UYZCTiEZCu+IJXouyfL2Z7Buu+22kA1Wogu4SDcvB2a9g/X9738/bjcfcD53hhiHJ554QsZBtiAvk3/84x9f/OIXrflxX4CufYXPr9xYysxf/epXcUcjZaRaPK2trXJBt77FIBP225XeF4n1BZns7Oxvf/vbzi87WBNS+WKxmP2wurq6sLBw+PDh0h/I9Ugaf3tTM2bMqKmpcR1GwPIucd8DkAZfunvrPzspKyvz+591vG8htLS0BKzuN99vO36H5zffbzvPPPOMVBS52Zo3b97Bgwf9hiLaoKKaPyBG3u98Syio3oyM8witg0lLS5P7V7ng2q/BXo68dANSUcaNGyevWekbrJnhX+/WhLT4coOenp4u7dGrr75qzXS92J3De/XVV991111vvfWWzL///vutz81Y5Bis77UEHP8gn4LR0NDwwAMPyIti6NChI0eOvOeee15//XV7NH7zm9/ceOON/9dFJp599tluNzgoXp2WyidblqOSE+Omm26y/x+sP/zhDzJfhlHGIT8//6GHHop7gRrU3UXSb/Bd4+kUMl9+8fo99Nusk9wJS+qHDRsmtzRPPvmkd8QSPZdkgW9+85syODJEP/zhD2XLAcefUOICSN98++23W+eGtHfWmeniPZ+dz3Y7DleuXJH5119/vbyEpde3q1vcF6BrX+HzK2fjhAkTPvjgg7ijkTJSLR4AQO+lXrVLnr///e/Sqvb3UfTc5cuXQ373KCp33nnnc88915d77Be8hAAAbjRY3VqxYsWpU6eOHz9+yy23fOc73+nvw+m5/fv3298WTLYrV648/fTTkydPtv+nhhTGSwj9w/vXMQMv6APiIBOVkkEhcpwV3XriiSfGjRs3evToBx98cED/XwMf+tCHnnrqqb7Zl5xX48ePl5aub3bXv3gJAQAARIwGCwAAIGI0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAipqXBivvVdAAA0Mf6uyPoI6kcp86MAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjVI6TbxECAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lONUjpNvEQIAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU41SOk28RAgBgFD3lWE2cajIKAICx9JRjs+JsamrKzc31G/3evCOlJ6MAABhLTzk2K86lS5euW7cuoMHq8Zb1ZBQAAGPpKccGxVlfX19QUNDa2kqDBQBAStJTjg2Kc/78+Vu3bu30H32ZP2rUqIyMjEmTJm3atOny5cvhN64nowAAGEtPOTYlzt27d0+dOrWjo6Ozu9Fva2vbv39/UVHRihUrXE8NCpTEowcAACHoKcemxDl58uS9e/da02FGv6GhIRaLhd++nowCAGAsPeXYlDgTfcPp5MmTY8aMSWj7vTtAAADQW3rKsYlxukbffrhw4cK6urpLly7V19cXFxcvX768x9sEAAB9T085NjFOvwarurq6sLAwLS2toKCgoqKitbW1x9sEAAB9T085VhOnmowCAGAsPeU4lePkW4QAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TiV4+RbhAAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJXj5FuEAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4lePkW4QAABhFTzlWE6eajAIAYCw95disOJuamnJzc/1Gv6OjY9WqVbFYLDs7u7y8XB6G37KejAIAYCw95disOJcuXbpu3Tq/0d+8efOUKVPe6SITW7ZsCb9lPRkFAMBYesqxQXHW19cXFBS0trb6jf706dNra2utaZkoKioKv3E9GQUAwFh6yrFBcc6fP3/r1q2d/qOflZXV1NRkTZ85cyYWi4XfuJ6MAgBgLD3l2JQ4d+/ePXXqVOtjVX6jP3jw4Pb2dmtaJoYMGeJaYFCgpB4/AADolp5ybEqckydP3rt3rzXNO1gAAKQkPeXYlDjDvOHEZ7AAABjQ9JRjE+N0jb79sKqqim8RAgAwcOkpxybG6ddgdXR0rFy5MtalrKyM/wcLAICBRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lONUjpP/pgEAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKdynHyLEAAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccp3KcfIsQAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyncpx8ixAAAKPoKcdq4lSTUQAAjKWnHJsS586dO2fNmpWWlpaTk7N48eLGxkbvMr15R0pPRgEAMJaechx9nK2tratXry4oKEhPT5d/H3vssba2tm7XmjNnzo4dO86fP9/c3FxZWTl37tw4x9qLrOjJKAAAxtJTjqOPc/ny5dIe1dXVSacl/0rn9PDDDye0hZaWloyMDO98GiwAAAY0PeU4+jjHjBlz8uRJ+6FMy5zwq1+8eHH9+vUlJSXepyQro0aNkt5r0qRJmzZtunz5cvjN6skoAADG0lOOzWqwrA9XjR49+ujRo37LtLW17d+/v6ioaMWKFXFX99ODWAAAQIT0lOOk/ImwuLj4zTffbG1tlX9lOqE/EV64cGHt2rUzZ84MXqyhoSEWi4XfrJ6MAgBgLD3lOCkfcq+oqLjuuuvS09Pl3zVr1oT5kLuT9FiZmZnByyT6l0c9GQUAwFh6yrEpcS5atKi+vr69vf3EiRPLli1zfgbLTsbChQvr6uouXbokSxYXFy9fvjz89vVkFAAAY+kpx6bEWV1dXVhYOHz48Nzc3NLS0nPnztlP2cmwlklLSysoKKioqGhtbQ2/fT0ZBQDAWHrKcfRx1tXVFRUVjRgxwqgPmJtwDAAAKKenHEcf57Rp0yorK997773It5wovkUIAIBR9JTj6ONMT0+/ePFi5JvtJT0ZBQDAWHrKcfRxXnvttceOHYt8s72kJ6MAABhLTzmOPs6nnnpqwYIFp06dinzLvaEnowAAGEtPOY4mzuD/Qt2E0TThGAAAUE5POVYTp5qMAgBgLD3lOPo4r7rqqsi32TOmvYsGAIByespx9HFec801//3vfyPfbC/pySgAAMbSU46jj3Pjxo333nvv8ePHOzo6It94j+nJKAAAxtJTjqOPkw+5AwCAuPSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlO5ThN+zMlAADK6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyncpx8ixAAAKPoKcdq4lSTUQAAjKWnHJsS586dO2fNmpWWlpaTk7N48eLGxkbvMh0dHatWrYrFYtnZ2eXl5Qn91qGejAIAYCw95diUOOfMmbNjx47z5883NzdXVlbOnTvXu8zmzZunTJnyTheZ2LJlS/jt68koAADG0lOOTYyzpaUlIyPDO3/69Om1tbXWtEwUFRWF36aejAIAYCw95di4OC9evLh+/fqSkhLvU1lZWU1NTdb0mTNnYrFY+M3qySgAAMbSU47NitP6ut/o0aOPHj3qfXbw4MHt7e3WtEwMGTIk7up+kn70AAAgkJ5ybFycFy5cWLt27cyZM71P8Q4WAAADmp5ybGKc0mNlZmZ65/MZLAAABjQ95diUOBctWlRfX9/e3n7ixIlly5Y5P4NlJ6OqqopvEQIAMHDpKcemxFldXV1YWDh8+PDc3NzS0tJz587ZT9nJ6OjoWLlyZaxLWVkZ/w8WAAADi55yrCZONRkFAMBYespxKsfJtwgBADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynEqx8m3CAEAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcSrHybcIAQAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxKsfJtwgBADCKnnKsJk41GQUAwFh6yrEpce7atWvu3Lnp6ek5OTlLliw5e/asd5nevCOlJ6MAABhLTzk2Jc558+bV1ta2tLScPn26tLS0pKTEu0xvsqInowAAGEtPOTYxzubm5szMTO98GiwAAAY0PeXYxDhrampmz57tnS9ZGTVqVEZGxqRJkzZt2nT58uXw29STUQAAjKWnHBsX58GDB/Pz8w8fPuy3QFtb2/79+4uKilasWOF6alCgJB84AADohp5ybFace/bsycvL27dvX7dLNjQ0xGKx8FvWk1EAAIylpxwbFOe2bdvGjh174MCBMAufPHlyzJgx4TeuJ6MAABhLTzk2Jc4NGzbk5eUdOnTI+5SdjIULF9bV1V26dKm+vr64uHj58uXht68nowAAGEtPOTYlTu9HplpaWuynrInq6urCwsK0tLSCgoKKiorW1taEth/9QQMAgEToKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMpx8t80AABgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjVI6TbxECAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lONUjpNvEQIAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU41SOk28RAgBgFD3lWE2cajIKAICx9JRjU+LctWvX3Llz09PTc3JylixZcvbsWe8yHR0dq1atisVi2dnZ5eXl8jD89vVkFAAAY+kpx6bEOW/evNra2paWltOnT5eWlpaUlHiX2bx585QpU97pIhNbtmwJv309GQUAwFh6yrGJcTY3N2dmZnrnT58+XZowa1omioqKwm9TT0YBADCWnnJsYpw1NTWzZ8/2zs/KympqarKmz5w5E4vFwm9TT0YBADCWnnJsXJwHDx7Mz88/fPiw96nBgwe3t7db0zIxZMgQ1wKDAiX90AEAQCA95disOPfs2ZOXl7dv3764z/IOFgAAA5qecmxQnNu2bRs7duyBAwf8FuAzWAAADGh6yrEpcW7YsCEvL+/QoUPep+xkVFVV8S1CAAAGLj3l2JQ4vR+ZamlpsZ+yJjo6OlauXBnrUlZWxv+DBQDAwKKnHKuJU01GAQAwlp5ynMpx8i1CAACMoqccq4kTAAAYoL87gj6iJc7Ovuqa2Qt7SY299NmO2At7SZkdsRc4KRrBVDop2Qt7SZkdsRf2kjI7Yi9wUjSCqXRSshf2kjI7Yi/sJWV2xF7gpGgEU+mkZC/sJWV2xF7YS8rsiL3ASdEIcrqYibwYi9SYibwYi9TASdHZwKlvJvJiLFJjJvJiLFIDJ0VnA6e+mciLsUiNmciLsUgNnBSdDZz6ZiIvxiI1ZiIvxiI1cFJ0NnDqm4m8GIvUmIm8GIvUwImzAQAAIGI0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMRosAACAiA3UBmvXrl1z585NT0/PyclZsmTJ2bNnrfkdHR2rVq2KxWLZ2dnl5eXy0Luu3zJh1kUwv7x0dv0PMRa/dclLUvmlJiBlNlKTPH7jv3PnzlmzZqWlpcn8xYsXNzY2etclL0nVm+ElNegcuA3WvHnzamtrW1paTp8+XVpaWlJSYs3fvHnzlClT3ukiE1u2bPGu67dMmHURzC8vtoAGi7wklV9quk1ZJ6lJJr/xnzNnzo4dO86fP9/c3FxZWSlNmHdd8pJUvRleUoPOgdtgOckFKDMz05qePn26XK2saZkoKiqyF7NLu98yAeuiB5x5sXkbLPLS9+Kmxjuf1PQxv7xI+5WRkWE/JC99owfDS2rglAoNVk1NzezZs63prKyspqYma/rMmTOxWMxezD71/ZYJWBc94MyLLaDBIi99Jm5qvPNJTR+Lm5eLFy+uX7/e+c4ieekbPRheUgOnAd9gHTx4MD8///Dhw9bDwYMHt7e3W9MyMWTIEO8qfsuEWRchufJiC/gTIXnpG36p8ZvfSWr6RNzxtz62OHr06KNHj3pXIS9J1ZvhJTXoHOgN1p49e/Ly8vbt22fPCXN/wL1FsnnzYgtosMhLH/BLTUDKOklN8gWM/4ULF9auXTtz5kzvU+QlqXozvKQGnQO6wdq2bdvYsWMPHDjgnBnmL9z8dTyp4ubFFtBgkZdk80tNcMo6SU2SdTv+0mPF/WwWeUmq3gwvqUHnwG2wNmzYIDd8hw4dcs2vqqry+46GXdr9lglYFyH55cUW8Bks8pJUfqkJSBmp6QN+479o0aL6+vr29vYTJ04sW7Ys7mewyEtS9WB4SQ2cBmqDNcijpaWls+t/GVm5cmWsS1lZmfN/GbFPfb9lAtZFSH558T7lXMWaIC9J5Zea4JRZE6QmefzGv7q6urCwcPjw4bm5uaWlpefOnXOuYk2Ql6TqwfCSGjgN1AYLAADAWDRYAAAAEaPBAgAAiBgNFgAAQMRosAAAcPP7He5Ef8g5zO+pW7zfAQqe7+T36+D8vHQ/osECAMDN73e4E/0h5zC/p+7k10gFN1h+vw7Oz0v3IxosAACCOH+Huzf/iajf73k79azBcnL+Ojj/tWk/osECACCI83e4e/MzOH6/s+7UywbL9evg/DhPP6LBAgDAl+t3uHv8Q84Bv6fu1JsGy/qolvPXwfl56X5EgwUAQHze3+Hu2TtY3u0EfKQ97pG45vut7vp1cN7B6kc0WAAAxBH3d7h78Bmsbn/P26n3n8Fy/jo4n8HqRzRYAAC4+f0Od6I/5Bzwe+px9azB8vt1cH5euh/RYAEA4Ob3O9yJ/pBzwO+pB++x2/lOfr8Ozs9L9yMaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAETs/wE+pJG9syOS4QAAAABJRU5ErkJggg==)
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