Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit323-09-20020802_154400_20020802_202800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/02 |
Start Time | | 2002/08/02 15:44 |
End Time | | 2002/08/02 20:26 |
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 | | -27.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.55 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit323-09-20020802_154400_20020802_202800-constBx0 |
Minimum Dst Value | | -55 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU3VuIFNlcCAwNiAwMjo1NDoxNSBFRFQgMjAyMEj1esUAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMjMtMTAtMjAwMjA4MDJfMjAyOTAwXzIwMDIwODAzXzAxMTMwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTIgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDgtMDJUMjA6Mjk6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA4LTAzVDAxOjExOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MC4yODMzNzc5OTk1LCAibWF4IjoxLjAwODEwMjAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX0uGdhMAAAABGdBTUEAAK/INwWK6QAAIRZJREFUeJzt3X9kHfn++PEScRwREa6qVRWlaq0VcamqiIhQK6oqSlVFRIRa/WNVXY7juuKoUlfUFbVE1XX/WKVi7R9VS0Wt/eNaakVVRamrqo4KURURR74vZ3zGfOfH+8ycvE/6ynk9H3/EzGR+vd6vmXm9z8z5cWQPAAAAXh350jsAAADQbehgAQAAeEYHCwAAwDM6WAAAAJ7RwQIAAPCMDhYAAIBndLAAAAA8o4MFAADgGR0sAAAAz+hgAQAAeEYHCwAAwDM6WAAAAJ7RwQIAAPCMDhYAAIBndLAAAAA8o4MFAADgGR0sAAAAz+hgAQAAeEYHCwAAwDM6WAAAAJ7RwQIAAPCMDhYAAIBndLAAAAA8o4MFAADgGR0sAAAAz+hgAQAAeEYHCwAAwDM6WAAAAJ7RwQIAAPCMDhYAAIBn3dnBOnKkO+MCgI7qxMXz+fPnx48fb7nmTmyaWoAvqDsPvqyTipMNABw6cZE8e/bs2traF9k013yPaMyiurO9ir5Uevbs2fj4eKlU6u/vn5mZef/+fTh9YmIimD43N1ev193zp24oEJterVb7miqVStayWVt3LJ46veh63r59OzU1VW6SgTdv3rS9/v0HlTX/5ubm1atXZfrg4ODi4mKets3T5u3tZBst46vlcx6H7p3POkpTpzs2uv+W74TY/h+JkHa+dOmSNLt7DUX3/8OHDzdu3Dh+/Hhvb68sJal8+vRp6s7EJsrA8PBw7L8jIyPRGcLpr1+/lp2X9ctWpAezuroaTN/a2vrhhx9OnDgh0yVH09PTv/32W57dduxhoRmS5Gjxsuk2dLpP4Mi1WF9fD8/o7777TkajOxYTTC+UvqwztOUF+SC7Spa7Zd0ZedFrxPnz5+Ws2N3dbTQaS0tLZ86cCabLufHrr7/KxO3tbTno5ah1z59zcysrK2NjYx+bpFbJaOpSWVvPWjxretH1yCX+9u3bu021Wk2u7+2t30tQWfNLaZ+fn9/Z2ZHpCwsLDx48aK9xDnXLFzoOW7ZAzvu+WRv10vKdkOxghcOfP3+WzlOyTxNVdP+l4kp1vHPnjswvo3KIPnnyRI6E1J2JTZQB6SrJMRP+S5aVKckOlnS+ZSuyM7J+GX3x4oW83gj+JYX85s2bQcdX/vv48WPZbfc+p+5M2zO0vcih62C5cy094GPHjkmOgjNarlFHjx7d2Nhw71gb6YutKs8FmQ7WwThkkcsRc/369eDVpAzIaDBdUvivf/1Ljuaenp5g9J///KcczdKLn52djc629/+/dEjdSurrLTle5SVF/vmjYhuS63V4w1wGRkdH3YvHtp61eJ7V5llP0IbJ6Iqu30tQWfPLXoVplYHwIrKfxml7JzW0/F6r47DlStp7sN5yJ/O3/N/+9reBgQF52S3ncjDFcb5L3Qpe5Us39M8//wymS3n79ttvZZeGhoaCPnfyZE+GE4Tw/fff/+c//wknyrBMce9/asvIfsrFJyvGlh2sX375JVpQZXM///xzcuflsra8vJy6CWkTOdiydiC6UcdFci+j8d0Xz6KLJK/bqWnNOgyi3r17Nz09XS6XZVnpo4S3bdzhODYqnRtpFmkcaaK7d++2kWtZ/N69e9EpMioTYzsWkzN9UY4zNPWCnHpSRBPRsjFFpVIZHByU9pGe/adPn8LpsbM4ua08RVxOgUePHoXrlO7mV199Fd3KYXHIOli3bt26ePHiVtOlS5dkNJguuZmZmQkTIKPy33A2SXk4PTYQI4ejnAPhS5AouXYnXwo45o+KbU4O3PAUkgEZdS8e23rW4nlWm2c9cmrVarVG0+Liooy2t34vQWXNH+1gyaWwZSO00eb5d/KLt3ye47DlSop2sGIb3WfL//3vf5dL+cePHyWb4QnrON/lsi4zywqlwoV30f7yl78Et3+kJNy4cSN1/6OjcsWoVqvShQr2TS7r0puR4dXV1WCie/9TW0b2YXNzMzXGrEVi16XTp0//8ccfMvD777/LcHIGITVM2iR1E3KYzc3NybLuOt3yIulo/Kx1Fl0ked1OTWvWaqO++eabIOTd3V2JJdmPKXosyUpkNtk3mV/OxDZyLf2P2H9lVZI4d5vkTF+UIyNZF+TkSRFNRMvG/Mc//iGNKY0mM8zPz4fnWupZHNtWniL+/PlzeaUULiIvdaSPm7M1VDlkHSzp3oZvmJABeW0RDEtugpu04ej//ve/cDZZKpweG4gKetnRu7ih9fV1OeZi79VwzJ9cs2O05S2f2NazFm+52pzrkZcvQ0NDQXQy8OHDh/bW7yWorPmvXbu2sLCw3SQDLRuhaJsX2skv2/I5j8OWO1mog5Xc6D5bXl6hJo8cx/kedq+jr9FPnDghL4Jj70VLnn1RUiNfvnwZ/Eu6ZSdPnpSurfxNfdXu2P+sGZK3CpKLxP57//79y5cvy8CFCxfC+3CxOR27IUVdeo1Sn6QvePz48Zs3b6Z2AlpeJB2Nn7Xpooskr9upac1abRZZtr+/P384WRuV8zEYloHUENrIdfS8iAmm50xfbLup0x0X5ORJEU1EVGpjyo6FB8/nz5/DXmPqWRzbVs4ifvbs2Z9++mnv/56GB4/CD51D1sHKeRFvOVvWESkHk/SUz507F50ovelTp06Ft44d88dOlaz9yXpNnLp4cuvt3SrIv57JyclarRa+EyjnTSZHKyXl35ms+eWic+XKlVKpJKfr8vJyeIZ7vIN1WFp+L+O4jenEHazoRos2TqGeR6Dl+S6NLF0TORhOnz4tr93dM+81733euXMnvFklbt++LTNEn+wUPXKS9y32Wl15wkfDwX9lK1LAfv75Z/kbbDq5uOMOVpQUMHn1n+ceRsuLZFbjF1qne/6s0Tx93N9//13yKNkJDqpYk+bft6z5U0Nw5zqZo0+fPrW8gxUVS1/O+hJwX5Dd0eVpzKjkDPm3lZWIp0+ffv3113vNJ63hewYOnUPWwZJqGn3VlfUK6Uhbd7BC0RN4dXVVus8vXrzIOX+q2OZi7+qIXt9jUreetbhjtYXWEwsn651DLdfvJag8K3/48OHMzIx7PfnbvI2d/IItnzp/qpYrKdrByrmTOXc+6w5WzvM9tqBUl+RZnzVz+Dayly9fSrLkyi5/w50peuTMzc0lH2eEGx0aGnr16lX0XzIqm4vNJmvo6+sL39+TvHAVqjqpB0bLi2TOxo8qukjODlbWaqOkM/rLL7/IKxMZlr/JFit6LEXvYMmCqSG4c93ee7CSitaXvRzXTHfLt2xMmSH1w4k572DlPEhGRkYWFxfllCn6pjQ9DlkHK3guLi8L5KXAxYsXs57xH2m+veBTU+rbC+TiFT5/2Wu+VzH4SLysuVKphNfQ5eVlOZJiF0TH/Fliuxd8LkkOUPfnkrK2nrV41vSi6wkO6/CdQLHPsuVfv5egsuaXF3Yys+zhkydP5IVa+KCqaON42ckv1fKFjsOWLZCzCmZtdJ8tH7x7Q2aLvnsj//keDEj1Cq7v0sEaHBwMJsZO9uiyUjxu374dtPP29va3334rr933mq+eZWLwVMKx/6ktJsVDSoisNtiopFLWFs55586ds2fPBm+x2mt++u/cuXMy0bHCvbQOVvDc5Mcffwyq4Pr6+rVr14J/TUxMSH0NHnvJPkujpR4YLS+SWY0fa8+onPlKxuUezVptlKQ7fPudNEWyxYoeSzL/9PR00D6XL19uI9evX7+WDseDBw+Cj9zKgIy2/BRhzvSl7nMgzwXZcVLs5WhMOWIvXLgQdEAlorDXmHoWx7aV/yB5/PixTJTXz45glTtM+7rXvAjeuHGj1CQlNnwumzxJ5IVF8BmH4MP8sdmWlpbkX+GoHNDDw8MyKotEvzjkSIJ7/qTUxfeaH8Fo+c06WVt3LJ46veh65IQJvkZFyED0nT1F17//oLLml7NOLm2yh5OTk9FvlynaOF52so2W8dLy+Y9D985n7WTqdMdG99nycqmVeWKfIsx5vgcDjx49+vrrr+UVv3SVwkeEsZM9GpFMlzoR9BflQvHvf/87XOf9+/dlSst2Sw1ECo8sKy/Ne3p6gq8ykg5f+F+JTnavt0kGojeislZ4JFHh9pr1O/iol2zlr3/9a/g9WL/99pt0CILpco5Ihzjrm5DcF8msxo+1Z1TOfGXFmzWatdooSffJkyclZOl3Sg8j2WJFjyWZXw5vyZE0kTRU1m0kd65fvnwpHY5go7ErVdbFIWf6UlfiXnNU8qQo1Jh7zT7W0NCQzCNXg+gn/pJncWxb+Q8SOaSDp4SxkLNaQ6HDtK8AAC8OV6H6sqQLLp2JL70XX17se2Q6TXqrjx8/Psgtesc5BgDm0MFq6datW58+fdrc3Mx6LmmK9DLDN+odgJ9++in6TQ2HFOcYOqKU5kvvVNyh2MmiujIoeMdR0dLy8vLRo0fL5XL0i1jNknb48ccfD2ZbcnCeOHEifKvi4UUHCwAAwDM6WAAAAJ7RwQIAAPCMDhYAAIBndLAAAAA8U9TBcnwrWqhareb8rkgAAIAvRVEHK+DoYAW/WfGxqeWvnSRXCwAAvjgfnYVDQF2cjqaP/erq6Oiol9UCAICDYaccq4vT0fTlcjn8VW0ZkFEvqwUAAAfDTjlWF6ej6WP/Sv76JvckAQDQzE45Vhcnd7AAAOhWdsqxujjzvwdLRluuijtYAADoYaccq4sz2fThlOBThPV6vb1PEXrbRQAA0BY75VhRnFk3nKLDlUqlve/BspNRAADUslOOuzlOHhECAKCKnXJsJk4zGQUAQC075bib4+QOFgAAqtgpx2biNJNRAADUslOOzcRpJqMAAKhlpxx3c5w8IgQAQBU75dhMnGYyCgCAWnbKcTfHyR0sAABUsVOOzcRpJqMAAKhlpxybidNMRgEAUMtOOe7mOHlECACAKnbKsZk4zWQUAAC17JTjbo6TO1gAAKhipxybidNMRgEAUMtOOTYTp5mMAgCglp1y3M1x8ogQAABV7JRjRXFWq9W+pkqlkjrD5ubm1atXS6XS4ODg4uJioZXbySgAAGrZKcda4lxZWRkbG/vYND4+LqPJeWZmZubn53d2dra3txcWFh48eOBeJ3ewAABQxU451hKn9K7W1taCYRkYHR1NzlMqlaRrFQzLwMTERP7128koAABq2SnHWuIsl8uNRiMYlgEZTc4T7WDt7OykzpPFTkYBAFDLTjnWEmesxXt7e5PzXLt2bWFhYbtJBpLzHHHq4N4DAIAc7JRjLXHmuYO1ubl55cqVUql07Nix5eXlgYGB/Ou3k1EAANSyU461xBl7D5aMuud/+PDhzMyMex7uYAEAoIqdcqwlzuBThPV6PfkpwjAZ33//vczQaDSePHly6tSpjY2N/Ou3k1EAANSyU44VxVmpVFK/BytMxsOHD48dO1YqlSYnJ9fX1wut3E5GAQBQy0457uY4eUQIAIAqdsqxmTjNZBQAALXslONujpM7WAAAqGKnHJuJ00xGAQBQy045NhOnmYwCAKCWnXLczXHyiBAAAFXslGMzcZrJKAAAatkpx90cJ3ewAABQxU45NhOnmYwCAKCWnXJsJk4zGQUAQC075bib4+QRIQAAqtgpx2biNJNRAADUslOOuzlO7mABAKCKnXJsJk4zGQUAQC075dhMnGYyCgCAWnbKcTfHySNCAABUsVOOFcVZrVb7miqVSuoMb9++nZqaKjfJwJs3b/Kv3E5GAQBQy0451hLnysrK2NjYx6bx8XEZTc4zPDx8+/bt3aZarTYyMpJ//XYyCgCAWnbKsZY4pXe1trYWDMvA6Ohocp6enp7oaKlUcq+TR4QAAKhipxxribNcLjcajWBYBmQ0Oc/09HStVms0LS4uymj+9dvJKAAAatkpx1rijLV4b29vcp53794NDQ0Ft6Nk4MOHD8mVOHRw7wEAQA52yrGWOPPcwZqcnKzVauF7sCYmJvKv305GAQBQy0451hJn7D1YMpqcJ3ZbK/UuVxY7GQUAQC075VhLnMGnCOv1evJThGEyRkZGFhcXw/dgtfwUIY8IAQBQxU45VhRnpVJJ/R6sMBkbGxsTExOlJhmQ0fwrt5NRAADUslOOuzlO7mABAKCKnXJsJk4zGQUAQC075dhMnGYyCgCAWnbKcTfHySNCAABUsVOOzcRpJqMAAKhlpxx3c5zcwQIAQBU75dhMnGYyCgCAWnbKsZk4zWQUAAC17JTjbo6TR4QAAKhipxybidNMRgEAUMtOOe7mOLmDBQCAKnbKsZk4zWQUAAC17JRjM3GaySgAAGrZKcfdHCePCAEAUMVOOTYTp5mMAgCglp1y3M1xcgcLAABV7JRjRXFWq9W+pkqlkjpDrMM0MDCQf+V2MgoAgFp2yrGWOFdWVsbGxj42jY+Py6h7/qWlpax+WCo7GQUAQC075VhLnNK7WltbC4ZlYHR01DFzo9E4efLkhw8f3OvkESEAAKrYKcda4iyXy9JtCoZlQEYdMz948OD69euF1m8nowAAqGWnHGuJM9bivb29jplPnz796tWr1JU4eN5jAABQkJ1yrCXO/HewHj9+PD09XXT9djIKAIBadsqxljhj78GS0aw5R0ZG/vvf/xZdv52MAgCglp1yrCXO4FOE9Xo9+SnCaDKePXvmfv97FI8IAQBQxU45VhRnpVJJ/R6saDKkE/b06dM2Vm4nowAAqGWnHHckztnZ2f7+/uC7QOfm5jqxiTy4gwUAgCp2yrH/OKenpy9evPjp0ycZlr8XLly4evWq960UZSejAACoZacc+4+zt7d3Z2cnHJXhUqnkfStF2ckoAABq2SnH/uOU7tT29nY4Kh0s97eGdg6PCAEAUMVOOfYf56VLlyYnJ7e2tmRY/k5MTFy7ds37Voqyk1EAANSyU447Euf8/HxfX19PT09/f3/R37TxiDtYAACoYqccm4nTTEYBAFDLTjk2E6eZjAIAoJadcuw/zrdv3x49elRasOf/uH+5uXN4RAgAgCp2yrH/OI8dO/bgwYPwl5uVsJNRAADUslOO/ccpbaekd8UdLAAAVLFTjv3HOTAwEP0eLCXsZBQAALXslGP/cS4tLc3Ozu7u7npf837YySgAAGrZKcd+4uxx4k3uAABgjw5W97GTUQAA1LJTjv3H2dPT432d7eEOFgAAqtgpx/7j7O/v39nZ8b7afbKTUQAA1LJTjv3HeefOndnZ2c+fPxddsFqt9jVVKpWsedbX1ycnJ8vl8vHjxx8+fJh/5XYyCgCAWnbKcUceEbbxJveVlZWxsbGPTePj4zKanOfVq1cnT5588uRJo9Go1+s3btxwr5NHhAAAqGKnHGuJU3pXa2trwbAMjI6OJueZnZ0tdNcqyk5GAQBQy0451hJnuVwOv/9dBmQ0Oc/AwMD9+/ePHTtWKpUuX768ubmZf/12MgoAgFp2yrGWOGMtnvpUUeaZn5/f2dnZ3t5eWFi4evVqcgaHDu49AADIwU451hJnnjtYMjH8ER7pZpVKpfzrt5NRAADUslOOtcQZew+WjCbnGR8fj3awUjthUdzBAgBAFTvlWEucwacI6/V68lOEYTIePny4sLCw3TQ/Pz8zM5N//XYyCgCAWnbKsaI4K5VK6vdgRZNRq9UGBwdLpdKVK1d4kzsAAIeLnXLczXHyiBAAAFXslGMzcZrJKAAAatkpx90cJ3ewAABQxU45NhOnmYwCAKCWnXJsJk4zGQUAQC075bib4+QRIQAAqtgpx2biNJNRAADUslOOuzlO7mABAKCKnXJsJk4zGQUAQC075dhMnGYyCgCAWnbKcTfHySNCAABUsVOOzcRpJqMAAKhlpxx3c5zcwQIAQBU75dhMnGYyCgCAWnbKsZk4zWQUAAC17JTjbo6TR4QAAKhipxwrirNarfY1VSqV1Bn202Gyk1EAANSyU461xLmysjI2NvaxaXx8XEaT87TRqeIOFgAAetgpx1rilN7V2tpaMCwDo6OjyXn2kxU7GQUAQC075VhLnOVyudFoBMMyIKPJeSQrAwMDvb29p0+frtVqhdZvJ6MAAKhlpxxriTPW4tKLcsz8+vXr77777tatW8mVOPjfaQAAUISdcqwlzjx3sKK2trb6+vryr99ORgEAUMtOOdYSZ+w9WDLqnj9PB4s7WAAAqGKnHGuJM/gUYb1eT36KMEzG7OzsxsaGDLx79+7SpUvXr1/Pv347GQUAQC075VhRnJVKJfV7sMJkrK6uDg8Py+hXX31169at7e3t/Cu3k1EAANSyU467OU4eEQIAoIqdcmwmTjMZBQBALTvluJvj5A4WAACq2CnHZuI0k1EAANSyU47NxGkmowAAqGWnHHdznDwiBABAFTvl2EycZjIKAIBadspxN8fJHSwAAFSxU47NxGkmowAAqGWnHJuJ00xGAQBQy0457uY4eUQIAIAqdsqxmTjNZBQAALXslONujpM7WAAAqGKnHJuJ00xGAQBQy045NhOnmYwCAKCWnXLczXHyiBAAAFXslGNFcVar1b6mSqXimG1zc3NoaKhohuxkFAAAteyUYy1xrqysjI2NfWwaHx+X0aw5b968eefOHTpYAAAcOnbKsZY4pXe1trYWDMvA6Oho6myvX78+efLk7u5ungzxiBAAAFXslGMtcZbL5UajEQzLgIymznbhwoVHjx7tFc+QnYwCAKCWnXKsJc5Yi/f29ibnef78+blz51LnDyc6dGK3AQBAfnbKsZY489zBGh4e/uOPP4Jh7mABAHDo2CnHWuKMvQdLRpPz7OemlJ2MAgCglp1yrCXO4FOE9Xo9+SnCrKeBLdfJI0IAAFSxU44VxVmpVFK/B6vtDtZ+5gcAAN7ZKcfdHCd3sAAAUMVOOTYTp5mMAgCglp1ybCZOMxkFAEAtO+W4m+PkESEAAKrYKcdm4jSTUQAA1LJTjrs5Tu5gAQCgip1ybCZOMxkFAEAtO+XYTJxmMgoAgFp2ynE3x8kjQgAAVLFTjs3EaSajAACoZaccd3Oc3MECAEAVO+XYTJxmMgoAgFp2yrGZOM1kFAAAteyU426Ok0eEAACoYqccm4nTTEYBAFDLTjnu5ji5gwUAgCp2yrGiOKvVal9TpVJJneHZs2fj4+OlUqm/v39mZub9+/f5V24nowAAqGWnHGuJc2VlZWxs7GOT9KJkNDnP+fPnnz59uru722g0lpaWzpw5k3/9djIKAIBadsqxljild7W2thYMy8Do6GjLRUqlknsGHhECAKCKnXKsJc5yudxoNIJhGZBRx8wyw71796ampvKv305GAQBQy0451hJnrMV7e3sdc4qjR49ubGyk/itLR/YbAADkZqcca4mz6B2su3fvnjt3Lv/67WQUAAC17JRjLXHG3oMloy0XcdzlSrKTUQAA1LJTjrXEGXyKsF6vJz9FGCbj+vXrb968kYGtra1KpdKyE8YjQgAAVLFTjhXFKX2m1O/BCpOxuro6PDwso4ODg3Nzc9Iby79yOxkFAEAtO+XYTJwAAECBL90jOCBW4gwdTGq7aSsHtiG2onZDbEXthtiK2g2xFZhrtW46HLkeGd/KgW2IrajdEFtRuyG2AnOt1k2HI9cj41s5sA2xFbUbYitqN8RWYK7Vuulw5HpkfCsHtiG2onZDbEXthtgKaLVDjINeLVKjFqlRi9SoRWraQ6sdYhz0apEatUiNWqRGLVLTHlrtEOOgV4vUqEVq1CI1apGa9tBqhxgHvVqkRi1SoxapUYvUtIdWO8Q46NUiNWqRGrVIjVqkpj20GgAAgGd0sAAAADyjgwUAAOAZHSwAAADP6GABAAB4RgcLAADAMzpYAAAAntHB0uLZs2cTExOlUqm/v39ubq5er4f/OvJ/HItXq9W+pkqlkmc68stKjSNlUaSmcxypGR8fD6bPzMy8f/8+dXFS01H7aV5S01FZzUit8YsOlhZTU1O//vpro9HY3t7+4YcfpGzEZnAc9CsrK2NjYx+bpK7IqHs6CslKTcuU7ZGaDstKwfnz558+fbq7uyv/WlpaOnPmTHJZUtNR+2leUtNRLZuRWuMLHSyNpCr09vbGJiYP+nCKHNlra2vBsAyMjo66p6NtqalJTic1By8rNaJUKoXDpOZgtNG8pOZgtGxGao0vdLA0evLkSZ47WOGUcrks1SUYlgEZdU9H21JTk5xOag5eamqkbe/duzc1NRVOITUHo43mJTUHo2UzUmt8oYOlzvr6+jfffPP27dvYdMdt29i/wtfxWdPRnqzUZE3fIzUHJTUFwbtJjh49urGxkVyE1HTUfpqX1HRUy2ak1vhCB0uX58+fnzp16s8//0z+y3HQ86riAGSlxpGyPVJzIBwpkLa9e/fuuXPnkv8iNR21n+YlNR3Vxh2slsuSmlR0sBRZXV09ceLEixcvUv/rOOhjz79l1D0dRWWlxp2yPVLTeS1TsJfxeprUdNR+mpfUdFTLZqTW+EIHS4vl5eXjx4+/evUqawbHc/HgExz1ej31kx3J6SgkKzWOlJGag5GVguvXr79580YGtra2KpVK9HJPag5GG81Lag5Gy2ak1vhCB0uLIwlZ/4pOD4eliqR+B0nWdOSXlRp3ysJhUtM5WSlYXV0dHh6W0cHBweS3yoXDpKajijYvqTkwjhRwQfOIDhYAAIBndLAAAAA8o4MFAADgGR0sAAAAz+hgAQA8c/wUeqFfC875k+pZi799+3ZqaqrcJAPBZ0vzL57zV8OBVHSwAACeZf0Od9FfC87zk+qOxYeHh2/fvr3bVKvVRkZGCi2e51fDgSx0sAAAHRT9He79/Fqw4/e8sxbv6emJzhb92e88i8dkLQ6kooMFAOig6O9w7+e3VrJ+at2x+PT0dK1WazQtLi7KaKHFQ8lfDQdaooMFAOiU2O9wt/1rwY6fVHcs/u7du6GhoeBrM2Xgw4cPhRYP/3sk+1fDgSx0sAAAHZH8He727mAl1xP7tvGsxScnJ2u1WvgerPAGWM7FQ45fDQey0MECAPiX+jvcbfxacJ7f885aPHYvKudbuLJ+qzhrcSAVHSwAgGdZv8Nd9NeCHT+pnme1IyMji4uL4Xuw3J8iTC7u+NVwoCU6WAAAzxw/hV7o14Id64lJXXxjYyP4Gi0hA443UaUu7vjVcKAlOlgAAACe0cECAADwjA4WAACAZ3SwAAAAPKODBQAA4BkdLAAAAM/oYAEAAHhGBwsAAMAzOlgAAACe0cECAADwjA4WAACAZ3SwAAAAPKODBQAA4BkdLAAAAM/oYAEAAHhGBwsAAMAzOlgAAACe0cECAADwjA4WAACAZ3SwAAAAPKODBQAA4BkdLAAAAM/oYAEAAHhGBwsAAMAzOlgAAACe0cECAADw7P8BOr5DkEmmJ14AAAAASUVORK5CYII=)
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