Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit318-08-20020721_133100_20020721_181600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/21 |
Start Time | | 2002/07/21 13:31 |
End Time | | 2002/07/21 18:14 |
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 | | -30.78 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit318-08-20020721_133100_20020721_181600-constBx0 |
Minimum Dst Value | | -36 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIE1heSAxMCAxMDoxNzo0NCBFRFQgMjAxOX0NfOcAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTgtMDktMjAwMjA3MjFfMTgxNzAwXzIwMDIwNzIxXzIzMDIwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdlb3RhaWwgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDctMjFUMTg6MTc6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA3LTIxVDIzOjAwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6Mi4wMjcxODQ5OTk1LCAibWF4Ijo1Ljk5NDExNTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3WbmHuAAAABGdBTUEAAK/INwWK6QAAIw5JREFUeJzt3X9wFeX1+HHkV0Jo87mBlBgkSEyx0oFUGXXAAEIM/qIo2g5NpQGV2rRIxrTlR2zAlLZA2ymMOKNgKXb8A4HYQUYLdBwr7UitTCjTNjWIqBCiJRAoQtD8MCTfY3a+O9dn7+7dm+xz3ey+X38we/fuffbZc/buOfdmQ/p1AQAAwFP9Pu8JAAAABA0NFgAAgMdosAAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYLAADAYzRYAAAAHqPBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYLAADAYzRYAAAAHqPBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYLAADAYzRYAAAAHqPBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGiwAAACP0WABAAB4LJgNVr9+wTwuANBKx8Xz9ddfHzt2bNyRdew6wLUgwIcWGMHMkN2ZxxkJAA50XCSnTJmyc+fOz2XXwbvmm0fk4aEFL0o+EcywJvpRaffu3dOmTUtJScnOzl6wYEFjY2P0lobo7d99992vf/3rkW6yIA9j7qWzs3PZsmWyTUZGRkVFhTw01p87d27+/PnDhg3LzMysqqqym+TevXsLCwtTU1NlVgsXLjxz5ozzsHbrEx2n32elp6c7j2MXJTuJhjTm9naTTDQ44Ym83SB2J79XB5VQ5HWwO3Muu+yyrKys4uLihoYGh5f3YP4nT55ctGjRmDFjBg0aJK+6/fbbJcgxJ6OslIWvfvWr0buQ5XHjxsWsqYcPH7733nvlMjJ48ODrr7/++eefN9Z/+OGHMs+xY8cOGTJE9n733Xe/8sorcedsnUyPN7CSM7m1tbX3u+4B3a2DQ64TlehUnc+lJKAtiyuYAUr0GjFjxgz5gCV9z4ULF1atWiX1w3n7yZMnV1ZWnuv26KOPysOYe9m0adPEiRPf6yYLmzdvNtbff//9cllv7DZ37txnnnkm5stnzpy5Z8+e5ubmU6dOlZaWzpo1y3lYu/WJjhNt/fr1S5YscR7HLkrOEg2pw+DRk0w0ODEFMvJ2g9id/F4dVEKR18HaYBkLly5d+uCDD3784x9PmTLF4eWJzv/999+/8sorZdi6urqPP/5YGtCXXnrptttuizkZZaUsSKv04osvmk+98MILssbaYL399tvSHf7mN7+pr6+X3uWNN974xje+YTwl+3rooYdkg7a2ttOnT+/YsePmm292nnPMyfR4gx6/pM81WM65ThQNVvD0sQDJpeSRRx7J6iYL5qciybQUpFGjRsmnUuPhr371qxEjRsjHu4cfflguNOZmXZ/9nsC6C6kcaWlpykplS9lAqpGxfP78eev2BukSpBQZy7JQUFBgLA8fPlyKk7EsPZbz9d0guxs6dKjzsHbrEx3HJHHLzc2Vi4jzOKbeNFhxQ2o3uDLJ3gQnpuBF3m6Qrs+e/F4dlMvIf/LJJytXrhw9enQkEpG+wVjp8H7fuHGj1LbU1NRJkybV1tYa61955ZXrrrtOVspTRidkfbMrsfrwww+HDBkiC9///vejP+ps2bJF1jjPP2bYH3zwQfmEEPMY7V4SPbfq6uroXcjRPf/889bJ33fffb/4xS9i7kIORw7KbgLRO3W4SHbZBN/54pnoS6zX7ZhptTsNoh05ckRaTDmW9PT0e+65p6mpyc3hOO9UTgAZULaXQPUg19LB//znPx8zZkxGRsYDDzxw8eLFhKIU94hixtN6tkdHOO6YdnO2vj2t+3JTnadOnbpt2zZzwvLxIDs7283p2kf1sQZLclxUVNTQTT55P/bYY8Z6SeHdd98tn0fNh7LZ+91k4ac//am5XllQyPm0du3auN8QfPOb35Rdy2khn/tXrFghD2OOJiexeQbLR0k5NY1labDkobEsnZa53sGuXbumT5/uPKzd+kTHMUmJkvdY3PmYetNgxQ2p3eDKJHsTnJiCF3m7QZST36uDchl5aRdkqHfeeed///tfeXm5sdLh/T5nzpxjx47JnFetWmV2JHKx/sMf/iBXdrlwL1y40Nw4ekfRteTkyZPLly83vuCRDmPatGk7duyQ5e3bt8tye3u78/xjhl3mIGUs5jHavST6uiSzGjt27N/+9jd5uG/fPlmWNdYLl9QwuzsT7rjjjrlz5+7fv//jjz+2m0aXi4ukQ/Dtxkz0Jdbrdsy02g0bLT8//9VXX5VDlmvI4sWLv/vd77o/nJg7lauQRPKDbrfeemsPcr1u3bpbbrnlvffek1P6O9/5zo9+9KOEohT3iJzPJfNhdITjjmk355hvT2Vfbqrzn/70p3HjxskpbTwlb9Jf/vKXdgEMgD7WYF111VVvvvmmsSwfNfLy8oxlSeHx48fNzeShudl//vOf6M2UhWhGMy4f6Y4ePWp9Kvqh8c2wsb0smKevon///sY1WsjCgAEDjOWSkpJ58+ad6iafRAcOHOh81IcOHcrNzTXfyXbD2q1PdByDvAeuvvrqurq6uPMx9abBihvSmINbJ9nj4MQUyMjHHMR68nt1UC4j/+Uvf9n88sDk8H6X3shY/uijj4yvoEROTs4TTzxx4sQJ5dCsR2qST+pyiTCeamxslCOqqKiQf8170RI9c+TtHN3ZWL9RsL5Eefbpp5++6667urp/2Pfb3/7WuoGxl5aWlpgTOH/+vJS6r33ta6mpqRLAJUuWxPyGIO5F0iH4dsee6Eus1+2YabUb1o5EYNSoUe4Px26nhw8fNpblhTEPwTnX11xzzVtvvWUsy+kkl7W4M0noiFw2WNERjjum3Zxjvj2VfbmszjfccMPWrVu7un/MLROQmMecXjD0sQZLLhnmZUUW5KGxLCmMvjNUHtptpiwo5JyrqqqaOnWqsl7ZXvr0Rx991LxhSB6am0W/wew++549e1b6Krmyy8fQ1atXX3755TFfbpBPsaNHjz5w4IC5pmdfFbgfxyAf4mfPnm0NkXUcuyg5cxlS58Gtk/TwG6xARt5hEOXk9+qg7NYrZ3v0W9vk8H6P3sx8+I9//GPOnDnDhw8fO3as+XM9u42N+VRWVkbfcykfu2UD82eUceNgJW9nhw540KBByk+45Likh4veTDbIzs5+7rnn5F/z50fKOA7fYJnkkiid04IFC6xfyXe5uEi6DH60RF9ivW4rzzoPG62mpkbyKBdV46Qy++BEDyd6ezNTsn3MQ3DOtfRq0a28mWWXM4l7RC4brOgIxx3TzZzt9uWyOu/atesrX/lKR0fHt7/9bfk4ZD2EIOljDZbL3j/6w5ksWDczfiAdk5SZuPe4yFnYm3uwoj355JPSbNlNRmrtyJEjDx486GZYh90lNI7h2muv3b9/v5v5mHrTYMUNaczBrZP06h6sQEbeeZCuz578Xh2Uy8hLS5TQN1jRmykP5Wr+xz/+0fzcorzZlY3lrDO/tPjnP/8pH6l37tx5xRVXmN/kJXrmSENTUVGhrDR3Om7cuDfeeCP6qb///e9jxoxRNlu7du3AgQPNn55Ya6pcNNasWeM8E4N8YvniF79oXR/3ImkXfIeLZw++wXLz0M03WLLy2Weflc+uUrnlX2vEEj2X3HyD5ZxraSOOHTtmfZXLwMY9ophTcj7b445pN+eYb09lXy4jLG/PCRMmLF26VE57886/oOpjDZZ83DR/yiud+IoVK4z11jfJrbfeatxeIAvWH3J/6Utfiv4RTElJiTxsb28/ceLE4sWL496DJddc2bXxdctPfvITu2vuxo0bY/7+0bx582T+8tpt27bl5OSYX8kq1q1bN3r0aPNNHndYu/WJjtPV/av7N910k8v52EXJWaIhtQ4ec5KJBiemQEbebhC7k9+rg3IZ+dWrV0+fPv3dd9+NvsnD/fvdWCguLpZLvFy1pcGSFtBYqbzZo1975syZlStXTpo0qav7FjS57v/1r3+V5RdffPG6664zfvrjMP+YYT9+/Ljs2vzNMjmcl156ydxSPlDJXv7yl7+c77Zv377x48f/+te/dhiwK1ZNffvtt6WDXL9+vUSmtbX1wIED5m8R3nzzzTt27GhsbJScypxLS0vvuOOOmGM6XyTtgq/EM5rLfNkF0O6h3bDRJBovvPCChEJOIQmFNWKJnkuyvXkP1m233daDXD/++OOyR3lKTsh///vf3/rWt5xnogQ27hHFnJLD2e5mTLs5x3x7Kvtyn335hCYrf/e730WvTKh89BV97JBaWlrKysqM31OQBfMLSeubxPgFmYyMjB/84AfRv85gLEiRiEQi5sPq6ur8/PzBgwdLuyPXI2nto4eKZqyUq9vtt9/+f93kTfjOO+/EnK206tKnG/+30/Lly82vSbds2SJvy7S0tJkzZx46dMjuYPtZNDc3Owxrtz7Rcbq6/2PAXbt2uZyPXZRcHlfckNoNHnOSiQYnPJG3G8Tu5PfqoFxGXroBaaxHjRol71npG4yV7t/vxoJ8YpGP4KmpqdIevfrqq8ZK5c0ePfNhw4bdddddxsk2f/5844Yng8zB+D0Dh/nbBby+vv7BBx+U9/jAgQOHDx9+zz33vP7662Y0fv/7319//fXGqS4Lzz77bNwB+8WqqVLbZGSZleTuhhtuMP8frD//+c+yXsIoccjNzX344YejL2jRYzpfJO2Cr8Qzmst82R2v3UO7YaPJJxNJ/aBBg6T7f+KJJ6wRS/Rckg2+973vSXAkRD/72c9k5JiH4JDrS5cuyUyuueaalJQU6arN97XLwMY9ophRtZ7tCUXJbs4x357KvtxnX87VsWPHfvLJJzEjHyQBPCQAgLNA1jNN/vWvf0mr+nnPQpeOjo64v2jlrdmzZz/33HPJ3OPnhfcYAIQODVZc5eXlJ0+ePH78+C233PLDH/7w856OLjU1NeZvC+p26dKlp59+esKECeb/1BBsvMeghfUHST68oPeJSSYqkAcFz3FWxPX444+PGjVqxIgRDz30UID/N4EvfOELTz31VHL2JWfdmDFjpKVLzu4+d7zHAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeC0uDFfN31wEAgFc+71LvL2EJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhHkcHDzHQAAyUGdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qghwO7sECACA5qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCHI4uMkdAIDkoM4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qswi/hcHNDeqI3rXOTOwAAyUGdVfglHC4bJq3jAwCAnqHOKvwSDhosAAD6Luqswi/hkMRkZmampaWNHz9+w4YNHR0dPdvGYXzvJgsAAD6DOqvwVzhaW1tramoKCgrKy8t7sE0/R5rnDgBAeFFnFX4MR319fSQS6f020Ug8AAD6UGcVfgxHQ0NDVlZW77eJRuIBANCHOqvwSziKi4tra2vb2trq6uqKiorKysrMp8ycOWwTF4kHAEAf6qzCL+Gorq7Oz89PSUnJy8urrKxsaWkxnzJz5rBNXCQeAAB9qLOKIIeDm9wBAEgO6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qghwObnIHACA5qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUWQw8E9WAAAJAd1VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxV+CYebG9I7OzuXLVsWiUQyMjIqKirkYe/HBAAAvUedVfglHG4Ss2nTpokTJ77XTRY2b97s7fgAAKBnqLMKv4TDTWImT568Z88eY1kWCgoKvB0fAAD0DHVW4ZdwSGIyMzPT0tLGjx+/YcOGjo4O6zbp6elNTU3G8unTpyORSELjezNRAABgQZ1V+Cscra2tNTU1BQUF5eXl1mf79+/f3t5uLMvCgAEDlA36OdI+ewAAwoo6q/BjOOrr62N+O8U3WAAA+BN1VuHHcDQ0NGRlZVnXcw8WAAD+RJ1V+CUcxcXFtbW1bW1tdXV1RUVFZWVl5lNmzjZu3MhvEQIA4EPUWYVfwlFdXZ2fn5+SkpKXl1dZWdnS0mI+Zeass7Nz6dKlkW7Lly+P+/9gRSPxAADoQ51VBDkc3OQOAEByUGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEeRwcJM7AADJQZ1VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShziqCHA7uwQIAIDmos4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqvwVziamppycnLskpToTevc5A4AQHJQZxX+CseiRYvWrFnj0GD1eGQSDwCAPtRZhY/CUVdXl5eX19LSQoMFAEDfQp1V+Cgcd95559atW7vskyTrMzMz09LSxo8fv2HDho6ODveDk3gAAPShzir8Eo6XX375xhtv7Ozs7IqXpNbW1pqamoKCgvLycuWpfo40zh4AgHCjzir8Eo4JEya89tprxrKbJNXX10ciEffjk3gAAPShzir8Eo5Ev3BqaGjIyspKaPzeTRAAANiizir8GA4lSebD4uLi2tratra2urq6oqKisrKyHo8JAAA8RJ1V+DEcdg1WdXV1fn5+SkpKXl5eZWVlS0tLj8cEAAAeos4qghwObnIHACA5qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCHI4uMkdAIDkoM4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxXeh6OlpWXFihV5eXmpqany72OPPdba2ur5XtzgHiwAAJKDOqvwPhxlZWWFhYW1tbXSacm/M2bMeOSRRzzfS6JIPAAA+lBnFd6HIysrq6GhwXwoy7LG870kisQDAKAPdVZBgwUAAHqLOqvQ8iPCoqKiN998s6WlRf6VZX5ECABAsFFnFVpucq+srLzqqqtSU1Pl35UrV7q/yb2pqSknJ8cuSZ2dncuWLYtEIhkZGRUVFfLQeTRucgcAIDmoswp/hWPRokVr1qyxS9KmTZsmTpz4XjdZ2Lx5s/uRSTwAAPpQZxU+CkddXV1eXl5LS4tdkiZPnrxnzx5jWRYKCgrcD07iAQDQhzqr8D4ctbW10voMGTIk0R/P3XnnnVu3bu2yT1J6enpTU5OxfPr06Ugk4n5WJB4AAH2oswrvwzFp0qRVq1Z99NFHCb3q5ZdfvvHGG43bquyS1L9///b2dmNZFgYMGKBs0M9R4ocCAABcoc4qvA9HamrqxYsXE33VhAkTXnvtNWOZb7AAAOhbqLMK78Nx5ZVXHjt2LOF5uPjCiXuwAADwJ+qswvtwPPXUU3PmzDl58mSPR1CSZD7cuHEjv0UIAIAPUWcV3oTD+eanRINu12B1dnYuXbo00m358uVx/x8shzEBAICHqLOKIIeDm9wBAEgO6qzC+3Bcdtllno/ZeyQeAAB9qLMK78NxxRVX/Pe///V82F4i8QAA6EOdVXgfjvXr1997773Hjx9P6B4p3Ug8AAD6UGcV3ofDn//Jpx/mAABAUFFnFUEOh9+aPAAAgoo6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VBDkc3IMFAEByUGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEeRwcJM7AADJQZ1V+CUcu3fvnjZtWkpKSnZ29oIFCxobG63b9KZhIvEAAOhDnVX4JRwzZszYuXPnuXPnLly4sGrVqsLCQus2vUkeiQcAQB/qrMKP4Whubk5LS7Oup8ECAMCfqLMK34Xj4sWLa9eunTVrlvUpSV5mZqb0XuPHj9+wYUNHR4f7YUk8AAD6UGcV/gqHcXPViBEjjh49ardNa2trTU1NQUFBeXl5zJfb0Tx3AADCizqr8F04zp8/X1VVNXXqVOfN6uvrI5GI+2FJPAAA+lBnFX4Mh/RYQ4cOdd6moaEhKyvL/ZgkHgAAfaizCr+Eo6SkpK6urr29/cSJE4sXL46+B8vMWXFxcW1tbVtbm2xZVFRUVlbmfnwSDwCAPtRZhV/CUV1dnZ+fP3jw4JycnNLS0rNnz5pPmTkztklJScnLy6usrGxpaXEek3uwAABIDuqsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKoIcDm5yBwAgOaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFkMPBPVgAACQHdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVQQ4HN7kDAJAc1FmFX8Kxe/fuadOmpaSkZGdnL1iwoLGx0bpNZ2fnsmXLIpFIRkZGRUWFPHQ/PokHAEAf6qzCL+GYMWPGzp07z507d+HChVWrVhUWFlq32bRp08SJE9/rJgubN292Pz6JBwBAH+qswo/haG5uTktLs66fPHnynj17jGVZKCgocD8miQcAQB/qrMJ34bh48eLatWtnzZplfSo9Pb2pqclYPn36dCQScT8siQcAQB/qrMJf4TDuRh8xYsTRo0etz/bv37+9vd1YloUBAwbEfLkd7bMHACCsqLMK34Xj/PnzVVVVU6dOtT7FN1gAAPgTdVbhx3BIjzV06FDreu7BAgDAn6izCr+Eo6SkpK6urr29/cSJE4sXL46+B8vM2caNG/ktQgAAfIg6q/BLOKqrq/Pz8wcPHpyTk1NaWnr27FnzKTNnnZ2dS5cujXRbvnx53P8Hi3uwAABIDuqsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKoIcDm5yBwAgOaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFkMPBPVgAACQHdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVQQ4HN7kDAJAc1FmFX8Kxd+/ewsLC1NTU7OzshQsXnjlzxrpNbxomEg8AgD7UWYVfwjFz5sw9e/Y0NzefOnWqtLR01qxZ1m16kzwSDwCAPtRZhR/DceHChaFDh1rX02ABAOBP1FmFH8Oxa9eu6dOnW9dL8jIzM9PS0saPH79hw4aOjg73Y5J4AAD0oc4qfBeOQ4cO5ebmHjlyxG6D1tbWmpqagoKC8vJy5al+jjRPHACA8KLOKvwVjn379o0ePfrAgQNxt6yvr49EIu5HJvEAAOhDnVX4KBzbt28fOXLkwYMH3Wzc0NCQlZXlfnASDwCAPtRZhV/CsW7dutGjRx8+fNj6lJmz4uLi2tratra2urq6oqKisrIy9+OTeAAA9KHOKvwSDustU83NzeZTxkJ1dXV+fn5KSkpeXl5lZWVLS0tCY+o9AAAAQow6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4ogh4Ob3AEASA7qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShziqCHA5ucgcAIDmos4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRZDDwT1YAAAkB3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzj6AQAAnT7vUu8vhKNXknM+JWEvHIjf9sKB+GoXydkLB+K3vXAgPtxLH0I4eiUwZy0H4re9cCC+2kVy9sKB+G0vHIgP99KHEI5eCcxZy4H4bS8ciK92kZy9cCB+2wsH4sO99CGEo1cCc9ZyIH7bCwfiq10kZy8ciN/2woH4cC99COHAp3hj+A0Z8Rsy4jdkxG/IiIJw4FO8MfyGjPgNGfEbMuI3ZERBOPAp3hh+Q0b8hoz4DRnxGzKiIBz4FG8MvyEjfkNG/IaM+A0ZURAOfIo3ht+QEb8hI35DRvyGjCgIBwAAgMdosAAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYLAADAYzRYAAAAHqPBCqZ+/1/0ynPnzs2fP3/YsGGZmZlVVVUxX9jZ2bls2bJIJJKRkVFRUSEPndfDjb179xYWFqampmZnZy9cuPDMmTPGejdRJSM62GWky+a9E42M6GCXEYdMmciIDnaR371797Rp01JSUmT9ggULGhsbra8lIwYarCBTisT9999fXFzc2G3u3LnPPPOM9SWbNm2aOHHie91kYfPmzc7r4cbMmTP37NnT3Nx86tSp0tLSWbNmGevdRJWM6GCXEZNDg0VGdLDLSNxMdZERPewiP2PGjJ07d8rH9QsXLqxatUqaMOtryYiBBivIlCIxfPhweasYy9JjTZkyxbrl5MmT5U1lLMtCQUGB83okSq5KQ4cONZYdokpGkiY6IyZrg0VGkiZmRqzryUjS2GVE2q+0tDTzIRlR0GAFmbXBOn36tLEsnVYkErFumZ6e3tTUZCzLxuY2duuRqF27dk2fPt1YdogqGUma6IyYHBosMqJbzIxY15ORpImZkYsXL65duzb6O0UyoqDBCjKlSJSUlMybN+9Ut/vuu2/gwIHWl/Tv37+9vd1YloUBAwY4r0dCDh06lJube+TIEeOhm6iSEa2UjJgcfkRIRrSyy4jd+i4yolnMyBv3KY4YMeLo0aPWl5ARAw1WkClF4uzZs9JXZWRkZGVlrV69+vLLL7e+hE8e+uzbt2/06NEHDhww17iJKhnRx5oRk0ODRUb0scuIQ6a6yIhODpE/f/58VVXV1KlTrU+REQMNVpA5FIknn3xSmi3ren52rsn27dtHjhx58ODB6JVuokpGNImZEZPDe4eMaGKXEedMdZERbeJGXnqsmPdmkREDDVaQKUVi3rx5DQ0N586d27ZtW05OzltvvWXdcuPGjTF/y8NuPdxYt26dfAo8fPiwst4hqmREK7uMmBzuwSIjOthlxCFTZEQru8iXlJTU1dW1t7efOHFi8eLFMe/BIiMGGqxg6vdZxsotW7bIx5G0tLSZM2ceOnRI2d5Y6OzsXLp0aaTb8uXLo///kpjr4UY/i+bm5i7HqJIRrewyYn0q+iXGAhnRwS4jzpkyFsiIDnaRr66uzs/PHzx4sHxKLy0tPXv2bPRLjAUyYqDBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGqwASvRPC9utd/NnVh1ertwgmZ6entBso0fwJCwAACQNpSuAEv3Twnbr3fyZVYeXR1u/fv2SJUsSmq2JBgsA0OdQugLOzZ8WdvOfv9n9sU83L29ra8vNzX3//fcTmq2JBgsA0OdQugLOzZ8WdvPnC+z+/Kqbl2/evPmBBx5IdLYmGiwAQJ9D6Qoyl39aOO4f4HT4M6txX37p0qWrr766rq4u0dmaaLAAAH0OpSuw3P9pYeevoKzjKPeeO798+/bts2fPjl4T89b1nv3ZXQAA/InSFUwJ/Wlhh5uo4v6xT+eXi2uvvXb//v09mK2JBgsA0OdQugIo0T8tbLc+7h/EdX652L1790033dSz2ZposAAAfQ6lK4Ds/khnon+A0+HPrEZz+PudU6ZM2bVrV89ma32q95EBACA5KFoAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADw2P8DwO/ExGB8/VsAAAAASUVORK5CYII=)
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