Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit310-04-20020701_170500_20020701_215300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/01 |
Start Time | | 2002/07/01 17:05 |
End Time | | 2002/07/01 21:51 |
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 | | -30.91 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.46 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit310-04-20020701_170500_20020701_215300-constBx0 |
Minimum Dst Value | | -11 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAVGh1IEZlYiAyOCAwMToyOTo1MCBFU1QgMjAxOTHm90IAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTAtMDUtMjAwMjA3MDFfMjE1NDAwXzIwMDIwNzAyXzAyNDIwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTIgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDctMDFUMjE6NTQ6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA3LTAyVDAyOjQwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MS40ODYyNDQ5OTk1LCAibWF4Ijo0LjE5NTY1NTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX2NVtzTAAAABGdBTUEAAK/INwWK6QAAIfFJREFUeJzt3X1wFdX5wHHkLSFp87tRJAZJIKZY6UCqjDpgAEkEFTMo2pmWaimj1KZVGGkLJC0gTV+g7TSMOFODTV/GP1SIHcxoCR2nlXakVgbKWFODQJWXaAkEiiRoQgzJ75nsdH/7O3t3795799xs7n4/f2T27t09Z/d5dvc5e3NfhvUDAADAV8MGewMAAADSDQMsAAAAnzHAAgAA8BkDLAAAAJ8xwAIAAPAZAywAAACfMcACAADwGQMsAAAAnzHAAgAA8BkDLAAAAJ8xwAIAAPAZAywAAACfMcACAADwGQMsAAAAnzHAAgAA8BkDLAAAAJ8xwAIAAPAZAywAAACfMcACAADwGQMsAAAAnzHAAgAA8BkDLAAAAJ8xwAIAAPAZAywAAACfMcACAADwGQMsAAAAnzHAAgAA8BkDLAAAAJ8xwAIAAPAZAywAAACfDfkB1rBhQ34XACD1dFw8X3/99cmTJ8dsWUfX1AIEzZA/Ip1OKk42AHCh4yI5a9asHTt2DErXXPN9RDB9MeSDGO+t0s6dO+fMmZORkZGfn7906dK2tjbrkgbr8n19fWvWrIlEIrm5udXV1fIwai9Oiw37/5w2cteuXeXl5ZmZmbJVy5YtO3PmjHuzTvPjbUfZvJycnJh7HXNfYu6UUyPusWpvby8oKLDOjzc4QzryLsG0S6wRe4T9Ck7KOB1Rl112WV5e3uLFi1tbW11WT2D7T548+cgjj0yaNGnUqFGy1p133ilXmKgbo8yUic997nPWLmR6ypQp1gXMpw4ePHjfffddfvnlo0ePvvHGG1944QVj/ocffijbOXny5DFjxkjv99xzzx//+MeY22zfmIQXsJMjubu7O/muE6B7TOCSa9Hc3LxgwYJPDZCJt956y7phUS9ucaUv6oXRy2UhlUMlhmWKIR+OeK8RZWVlcoN17ty5jo6OmpoaOTrdl9+6dev06dPfGyAT9fX1UXtxWszjATd//vympqbOzs5Tp05VVlZWVFS4N+s0P952rDZv3rxq1SqPy3vZL6eNcWrEvU25tG3cuNG6TLzBiWsjgxb5mMG0SqwRe4T9Ck7KOB1Rly5d+uCDD77zne/MmjXLZfV4t//999+fOHGiNNvS0vLxxx9LeXv55ZfvuOOOqBujzJQJGSq99NJL5lMvvviizLEPsA4fPiyjw5///OfHjx+Xscsbb7zxhS98wXhK+nr44YdlgYsXL54+fXr79u233nqr+zZH3ZiEF0h4lSE3wHLP9ZEjR6688sra2tqTA+SMlocy033DEkif0pSXywIDrEEU3HDIpeSxxx7LGyAT5l2RpFAO3wkTJshdqfHwpz/96bhx4+T27tFHH5Uj1Vys///fOti7kOMyKytLmaksOXPmTDmCjWmZKC0tjbq1ToslcMDJyC87O9u9WS9b5aUdk8StqKhILiIel493v6wb49SIS5tyUSsuLu7q6rIuk0xwYm5kYCPf7xBMqwQaiRrheHfKY+Q/+eST9evXFxYWRiIRGTcYM13O97q6Oqltcps+Y8aM5uZmY77c699www0yU54yRkL2k13Zlw8//HDMmDEy8Y1vfOM3v/mNOf/Xv/61zHHf/qhheeihh7773e9G3UenVazb1tDQYO1C9u6FF16wb/z999//ox/9KGoXsjuyU04bYO3U5SLZ7xB894tnvKvYr9tR0+p0GFgdOnRIhpiyLzk5Offee297e7uX3XHvVA4AaVCWl0AlkOsHHnhgw4YN1jmPP/74V77yFWXDFB7TZ+VykXS6xtpPCmsiYgZTbk5++MMfTpo0KTc398EHH7xw4YIx334W2/vyUsRnz579/PPPmxssdxH5+fnxhiWwgjvAkuTNmzevdUBZWZkcr8Z8yc0999wj96PmQ1ns/QEy8f3vf9+cr0wo5EDZtGlTzJdV5LAzjzm5yZCDKWprTotJa2PHjpVh3NSpU7ds2dLb2xtzxxsbG+fOneverJet8tKOSUqUnDze9zreAZZ1Y5wacYnVXXfd9eyzzyqrJBOcmBsZ2Mj3OwTTKoFGokY43p3yGHkZLkhT//rXv/7zn/+sXLnSmOlyvi9atOjo0aNywtbU1JgjErkK/+53v5NLtlyRly1bZi5s7chaJE6ePFlVVWW8QiAjjDlz5mzfvl2mt23bJtM9PT3u2x81LLINUp+i7qPTKtbrkmzV5MmT//rXv8rD3bt3y7TMsV+4pDi9++67UbtYsGDBF7/4xT179nz88cdOm9Hv4SLpEnynNuNdxX7djppWp2atSkpKXn31VdllKcPLly//2te+5n13ona6bt06ieQHA26//fYEci05kuPZOkceXnXVVe4x8Zg+K5eMOF0W7CeFNRExg1lbW3vbbbe99957crbKkPHb3/62MT/qWaz05aWI/+EPf5gyZYoc+cZTci7/5Cc/8RiN4AvuAOuaa655++23jWm51ZDba2NacnPs2DFzMXloLvbPf/7TupgyYWWMsuWWznwV1/qU9eHw4cONi6+QiREjRkTdWvfFpAzs27dPzmfzQHRy4MCBoqIi80x2ajbmVnlsxyAH97XXXtvS0uJ9r+MaYCkb496IPVavvPLKzTffbLxbxbpKwsHxspGBjbxTMK3ibcQpwvHulMfIf+YznzFfPDC5nO8yNjKmP/roI+MlKFFQUPDkk0+eOHHC2oi9lljJLbhcIoyn2traZI+qq6vlr/lGzHiPnJEjR1pLo/2lAvsqyrNPP/303Xff3T/w36Jf/vKX9gWMXrq6uqJuwPnz56WGff7zn8/MzJQArlq1Kuqtf8yLpEvwnfY93lXs1+2oaXVq1olEYMKECd53x6nTgwcPGtOyYtRdcM+1HCpKjmRhWUVZWFnLY/qsnMLrclmwnxTWRFhFDeZ11133zjvvGNNypkycONGYjnoWK315LOI33XSTcXd3+PBh2QBJTdTNG4qCO8CSY848ZGVCHhrTkhvlPddOiykTCjmYNmzYMHv2bGW+x1ewlFPFy7273Go7rW6Qu9jCwsK9e/fG7N29O+/tGOQmfuHChV722uR9gGXfGC+NWGM1bdq01157zb6Kj69gDZXIuwQzmUacIhzvTnk8WayntsnlfLcuZj78+9//vmjRoiuuuGLy5Mnm//WcFja2Z+3atdb3XMr9tCxg/o/SZfudXHXVVS63DaNGjVL+wyX7JWM462KyQH5+/nPPPSd/zf+yKe24vIJlkkuijJyWLl3q9C4c99h6DL5VvKvYr9vKs+7NWskNmORRhsvGQWWOg+PdHevyZqac/kvunmu5V0/gFSyTPX1RC4RTU+6XBfteWxMRM5gyDLUODc0DOOpZrPTlsYg3NjZ+9rOf7e3t/fKXvyx3TVH3YogK7gDL4x2S9eZMJuyLGf9pjkrGWDHfGJTke7CsWltb5VrptDFSa8ePH79//34vzbp0F1c7huuvv37Pnj1x7Y7HAVbUjfHSiDVWTvd/fr0Ha6hE3j2YyTTiFOF4d8pj5GVIFNcrWMqmWh/KZfr3v/+9WcmUk11ZuKOjw3zR4s0335R75R07dlx99dXmy9jxHjlSEaurq5WZZqdTpkx54403rE/97W9/mzRpkrLYpk2bRo4caf5bxD7Auv/++zdu3Oi+JYZz5859+tOfts+PeZF0Cr7LxTOBV7C8PPTyCpbMfOaZZ86ePSslWf7aIxbvseTlFSz3XMvIwP4erAceeCBqv06c0he1R1PMy4L7SREzmDL0OXr0qL3ZqGex0pfHRMhZLPd4q1evlrPDfINgegjuAEtuN81/38oQe926dcZ8+0ly++23G28vkAn7WwGuvPJK679glixZIg97enpOnDixfPnymO/Bqqur8/LBIqfFFi9eLAeWHDTSqezOihUroq5eW1srtyDmSR6zWaf58bbTP/C9Fbfccov35aNGKa6dcmrES6ysq8QbnLg2MmiRjxlMvxqxRtiv4Ch+/OMfz507991337W+e8P7+W5MyNEi1245WmSAJQXGmKmc7NZ1z5w5s379+hkzZvQPvP9SLuh/+ctfZPqll1664YYbjP/+uGx/1AP+2LFj0rX5yTLZnZdfftlc8he/+IX08uc///n8gN27d0+dOvVnP/uZS4P90QZYhw8flhHk5s2bJTLd3d179+41P0V46623bt++va2tTS5oss2VlZULFiyI2qb7RdIp+Eo8rTzmyymATg+dmrWSaLz44osSCjmEJBT2iMV7LMny5nuw7rjjjgRy/c4774wdO1ZyZH6KUB6ar3g5xcRj+lzi5uWMdjkp+j0E84knnpBgSgtyrr311ltf+tKXjPlRz2KlL+8HiQwTZeavfvUrl50dioK7A11dXVJijQ8gyIT5SqP9JDE+IJObm/vNb37T+jkFY0IOwUgkYj5saGgoKSkZPXp0QUGBHNAyZrc2Zb+Jl8G1jKwjA6qqqly+ByvqYkZ3GRkZMniXo83pvRT2lxA6OztdmnWaH287/QNfDNjY2Ohxd5yiFNdOOTXiJVbWHuMNzpCOvEsw7ZJpxBphv4KjkHLyve99b8KECXLOSikyZno/342J559/Xu6tMzMzZXj06quvGjOVk9265Zdffvndd99t/B/nq1/9qvGGJ4Nsg/E5A/fDPuq+HD9+/KGHHpLSO3LkyCuuuOLee+99/fXXzWj89re/vfHGG/9ngEw888wzMRscZqtw/QOf8ZSWZavkwnXTTTeZ34P1pz/9SeZLGCUORUVFjz76qPWCZm3T/SLpFHwlnlYe8+W0v04PnZq1kjsTSf2oUaNkbPHkk0/aIxbvsSQLfP3rX5fgSIh+8IMfSMtRd8El1+If//jHnXfemT1ARmlvvvmmtaOoVzyP6YvaiFPL9jPaflLEFcxLly7J/Ouuu06uzHLDYF6yop7FSl/eDxI5pCdPnvzJJ58ou+wUjaFiyO8AAMBFGhSqlJFxkox1BnsrBllvb6/5Dv3UWLhw4XPPPZfKHlODEw8A0hkDrJhWrlx58uTJY8eO3Xbbbd/61rcGe3MG2b59+8xPC+p26dKlp59+etq0aeY3NaQTTjwky/4ydQAv6ENiI+OVljsF33FUxPTEE09MmDBh3LhxDz/8cDp9TUBiPvWpTz311FOp6UsOzkmTJsmQLjXdpRgnHgAAgM8YYAEAAPiMARYAAIDPGGABAAD4jAEWAACAzxhgAQAA+CwsA6yoH2gHAAB+GexSHyxhCQeJBwBAH+qsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFOoeDj48CAJAa1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVwQpHe3t7QUGBU5L6+vrWrFkTiURyc3Orq6vlofeWSTwAAPpQZxXBCscjjzyyceNGpyRt3bp1+vTp7w2Qifr6eu8tk3gAAPShzioCFI6Wlpbi4uKuri6nJM2cObOpqcmYlonS0lLvjZN4AAD0oc4qAhSOu+6669lnn+13TlJOTk57e7sxffr06Ugk4r1xEg8AgD7UWUVQwvHKK6/cfPPNxtuqnJI0fPjwnp4eY1omRowYoSzAr3wDADAoqLOKoIRj2rRpr732mjHNK1gAAAwt1FlFUMLh5QUn3oMFAEAwUWcVQQyHkiTzYV1dHZ8iBAAggKiziiCGw2mA1dfXt3r16siAqqoqvgcLAICAoM4qwhIOEg8AgD7UWUU6h4NPEQIAkBrUWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVaRzuHgaxoAAEgN6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrSOdw8DUNAACkBnVWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVaRzOPiaBgAAUoM6qwhLOEg8AAD6UGcVQQnHzp0758yZk5GRkZ+fv3Tp0ra2NvsyybwiReIBANCHOqsISjjKysp27Nhx7ty5jo6Ompqa8vJy+zLJJI/EAwCgD3VWEcRwdHZ2ZmVl2eczwAIAIJios4rAhePChQubNm2qqKiwPyXJGzt2rIy9pk6dumXLlt7eXu/NkngAAPShziqCFQ7jzVXjxo07cuSI0zLd3d379u0rLS1duXJl1NWdaN52AADCizqrCFw4zp8/v2HDhtmzZ7svdvz48Ugk4r1ZEg8AgD7UWUUQwyFjrOzsbPdlWltb8/LyvLdJ4gEA0Ic6qwhKOJYsWdLS0tLT03PixInly5db34Nl5mzx4sXNzc0XL16UJefNm7dixQrv7ZN4AAD0oc4qghKOhoaGkpKS0aNHFxQUVFZWnj171nzKzJmxTEZGRnFx8dq1a7u6ury3T+IBANCHOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwincPB1zQAAJAa1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWkc7h4GsaAABIDeqsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6q0jncPA1DQAApAZ1VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVWkczj4mgYAAFKDOqsISzhIPAAA+lBnFUEJx86dO+fMmZORkZGfn7906dK2tjb7Mn19fWvWrIlEIrm5udXV1fLQe/skHgAAfaiziqCEo6ysbMeOHefOnevo6KipqSkvL7cvs3Xr1unTp783QCbq6+u9t0/iAQDQhzqrCGI4Ojs7s7Ky7PNnzpzZ1NRkTMtEaWmp9zZJPAAA+lBnFYELx4ULFzZt2lRRUWF/Kicnp7293Zg+ffp0JBLx3iyJBwBAH+qsIljhMD7uN27cuCNHjtifHT58eE9PjzEtEyNGjIi6uhPtWw8AQFhRZxWBC8f58+c3bNgwe/Zs+1O8ggUAQDBRZxX+h6Orq2vdunXFxcWZmZny9/HHH+/u7o6rBRljZWdn2+fzHiwAAIKJOqvwPxwrVqwoLy9vbm6WkZb8LSsre+yxx2KutWTJkpaWlp6enhMnTixfvtz6HiwzZ3V1dXyKEACAAKLOKvwPR15eXmtrq/lQpmVOzLUaGhpKSkpGjx5dUFBQWVl59uzZ/9vE/+asr69v9erVkQFVVVV8DxYAAAFBnVUEZYClG4kHAEAf6qxCy78I582b9/bbb3d1dclfmfbyL0LdSDwAAPpQZxVa3uS+du3aa665JjMzU/6uX78+3je5+4WvaQAAIDWos4qwhIPEAwCgD3VWEZZwkHgAAPShzir8D0dzc3NpaemYMWMC9e+5IGwDAADpijqr8D8cM2bMqKmp+eijj3xvORkkHgAAfaizCv/DkZmZeeHCBd+bTRKJBwBAH+qswv9wTJw48ejRo743myQSDwCAPtRZhf/heOqppxYtWnTy5EnfW44XX9MAAEBqUGcV/oRjWCy+9JLkFg72JgAAkLaos4qwhIPEAwCgD3VW4X84LrvsMt/bTB6JBwBAH+qswv9wXH311f/+9799bzZJJB4AAH2oswr/w7F58+b77rvv2LFjfX19vjeeMBIPAIA+1FmF/+HgTe4AAIQNdVaRzuEI2iAPAIB0RZ1VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqtI53DwKUIAAFKDOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiKOHYtWtXeXl5ZmZmfn7+smXLzpw5Y18mmX/5kXgAAPShziqCEo758+c3NTV1dnaeOnWqsrKyoqLCvkwyySPxAADoQ51VBDEcHR0d2dnZ9vkMsAAACCbqrCKI4WhsbJw7d659viRv7NixWVlZU6dO3bJlS29vr/c2STwAAPpQZxWBC8eBAweKiooOHTrktEB3d/e+fftKS0tXrlypPDXMleYNBwAgvKizimCFY/fu3YWFhXv37o255PHjxyORiPeWSTwAAPpQZxUBCse2bdvGjx+/f/9+Lwu3trbm5eV5b5zEAwCgD3VWEZRw1NbWFhYWHjx40P6UmbPFixc3NzdfvHixpaVl3rx5K1as8N4+iQcAQB/qrCIo4bC/Zaqzs9N8yphoaGgoKSnJyMgoLi5eu3ZtV1dXXO37v9EAAGAAdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFOoeDr2kAACA1qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIp3Dwdc0AACQGtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKdA4HnyIEACA1qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIp3Dwdc0AACQGtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFUEJx65du8rLyzMzM/Pz85ctW3bmzBn7Mn19fWvWrIlEIrm5udXV1fLQe/skHgAAfaiziqCEY/78+U1NTZ2dnadOnaqsrKyoqLAvs3Xr1unTp783QCbq6+u9t0/iAQDQhzqrCGI4Ojo6srOz7fNnzpwpgzBjWiZKS0u9t0niAQDQhzqrCGI4Ghsb586da5+fk5PT3t5uTJ8+fToSiXhvk8QDAKAPdVYRuHAcOHCgqKjo0KFD9qeGDx/e09NjTMvEiBEjlAWGudK+6QAAhBV1VhGscOzevbuwsHDv3r1Rn+UVLAAAgok6qwhQOLZt2zZ+/Pj9+/c7LcB7sAAACCbqrCIo4aitrS0sLDx48KD9KTNndXV1fIoQAIAAos4qghIO+1umOjs7zaeMib6+vtWrV0cGVFVV8T1YAAAEBHVWEZZwkHgAAPShzirCEg4SDwCAPtRZRTqHg69pAAAgNaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcV6RwOPkUIAEBqUGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRTqHg69pAAAgNaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCKdw8HXNAAAkBrUWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxUBCkfM/+Ul8y8/Eg8AgD7UWUXgwuE+wNLRLAAASBJ1VhG4cDDAAgBgyKHOKgIXDvcB1tixY7OysqZOnbply5be3l5fmgUAAEmizioCF46YGeru7t63b19paenKlSvt67rQtskAAIQddVYRuHB4zNDx48cjkUhczQIAAH0SrfzpKXDh8Jih1tbWvLy8QdwAuqALuhiKvdAFXdDFoHQRQoGLqT3N5pzFixc3NzdfvHixpaVl3rx5K1asSM0G0AVd0AUDLLqgC7pAXAIUU6dXGs3phoaGkpKSjIyM4uLitWvXdnV1adoMHc3SBV3QRRB6oQu6oItB6SKEiKkqPQ5luqCLIddFanqhC7qgi0HpIoSIqYrjLDjIRXCQi0AhHcFBLuCEI0PF2RIc5CI4yEWgkI7gIBdwwpGh4mwJDnIRHOQiUEhHcJALOOHIUHG2BAe5CA5yESikIzjIBZxwZKg4W4KDXAQHuQgU0hEc5AJOODIAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB8luYDrF27dpWXl2dmZubn5y9btuzMmTPu8636+vrWrFkTiURyc3Orq6vloft8uHOK+c6dO+fMmZORkSHzly5d2tbWZl+XXPgrmXiSC9+5hG7Yf8W7LulIjFPcKBlIQJoPsObPn9/U1NTZ2Xnq1KnKysqKigr3+VZbt26dPn36ewNkor6+3n0+3DnFvKysbMeOHefOnevo6KipqZGrmH1dcuGvZOJJLnwXM3QuAyzS4S+nuFEykIA0H2BZSf3Ozs6OOd+8ls2cOVPOKGNaJkpLS93nwzunXMj1Kysry3xILjRJIJ7kQp+YobMPsEiHJl7iRsmARyEaYDU2Ns6dOzfmfPNsycnJaW9vN6ZPnz4diUTc58O7qLm4cOHCpk2brLeG5EKTBOJJLvSJGTqXARbp8JeXuFEy4FFYBlgHDhwoKio6dOiQx/li+PDhPT09xrRMjBgxwn0+PIoac+ONJuPGjTty5Ih9FXLhr2TiSS58FzN0Lv8iJB3+ihk3Sga8C8UAa/fu3YWFhXv37vU438DtiA4uMT9//vyGDRtmz55tf4pc+CuZeJIL3yXwClbMdUlHYtzjRslAXNJ/gLVt27bx48fv37/f43wT/1D3XcyYyxgr6nuzyIW/koknufBdAu/Birku6UiMS9woGYhXmg+wamtr5Ybj4MGDHuf3W65ldXV1UT/64TQf7pxivmTJkpaWlp6enhMnTixfvjzqe7DIhb8SiCe50Cdm6Fzeg0U6/OUUN0oGEpDmA6xhNp2dnS7z+y1nS19f3+rVqyMDqqqqrF9qEnU+3DnFvKGhoaSkZPTo0QUFBZWVlWfPnrWuYkyQC38lEE9yoY972K2s893XJR2JcYobJQMJSPMBFgAAQOoxwAIAAPAZAywAAACfMcACAADwGQMsIHScfrk23l+r9fILuC6rK+8azsnJiWt1j70DwKBggAWEjtMv18b7a7VefgHXZXWrzZs3r1q1Kq7VPfYOAIOCARYQatZfrk3mmxKdfsDby+oXL14sKip6//33E1vdvXcAGBQMsIBQs/5ybTK/9eH0Y+peVq+vr3/wwQedtjDJ3gFgUDDAAsJL+eXahH+t1uUXcGOufunSpWuvvbalpcVpI5PsHQAGBQMsIKTsv1yb2CtY9naUbx53X33btm0LFy60zolrdfff3wWAwcIACwijqL9cm8B7sGL+Aq776uL666/fs2dPYqt76R0ABgUDLCB0nH65Nt5fq3X5BVwvzYqdO3fecsstia3usXcAGBQMsIDQcfrl2nh/rdblF3CtXH7sdtasWY2Nje5bm2TvADAoGGABAAD4jAEWAACAzxhgAQAA+IwBFgAAgM8YYAEAAPiMARYAAIDPGGABAAD4jAEWAACAzxhgAQAA+IwBFgAAgM8YYAEAAPiMARYAAIDPGGABAAD4jAEWAACAzxhgAQAA+IwBFgAAgM8YYAEAAPiMARYAAIDPGGABAAD4jAEWAACAzxhgAQAA+IwBFgAAgM8YYAEAAPiMARYAAIDPGGABAAD4jAEWAACAz/4XsaWAI098rqcAAAAASUVORK5CYII=)
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