Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit294-09-20020525_150600_20020525_195000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | B plot | GOES-9 | | | | - | GOES-10 | | | | B plot | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | - | Wind | | | | B plot |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/25 |
Start Time | | 2002/05/25 15:06 |
End Time | | 2002/05/25 19:48 |
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 | | -31.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | -15.27 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 187.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit294-09-20020525_150600_20020525_195000-constBx0 |
Minimum Dst Value | | -39 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIFNlcCAyMyAwODozMTowNiBFRFQgMjAyMJ+WnksAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyOTQtMTAtMjAwMjA1MjVfMTk1MTAwXzIwMDIwNTI2XzAwMzUwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdlb3RhaWwgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDUtMjVUMTk6NTE6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA1LTI2VDAwOjMzOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MC4xMDE2MzA0OTk1LCAibWF4IjowLjMzNzIzOTUwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX1b/w0OAAAABGdBTUEAAK/INwWK6QAAHp1JREFUeJzt3W+EXOf+APAQa61YsVxREREhoqJWXaoiYkWoiKqIUlWxVoRVfRG1LmtdV8UV6oq4VpWouO6LKrWqLyJCRFRfXSJWRUSIK6pWhRW1Itb+HjvuMb9n5pw5M3ue2dk5n8+Ldebs+fOc7/ec8/3O7OzMrg0AACq1a7sHAAAwbDRYAAAV02ABAFRMgwUAUDENFgBAxTRYAAAV02ABAFRMgwUAUDENFgBAxTRYAAAV02ABAFRMgwUAUDENFgBAxTRYAAAV02ABAFRMgwUAUDENFgBAxTRYAAAV02ABAFRMgwUAUDENFgBAxTRYAAAV02ABAFRMgwUAUDENFgBAxTRYAAAV02ABAFRMgwUAUDENFgBAxTRYAAAVG84Ga9eu4TwugKRS3Dzv379/4MCBjltOseshrgVDfGhDYzgzlHfmOSMBCqS4Sb777rv37t3bll0P3z0/O6IKD234ojQghjOs3T5Vunv37qlTp0ZHR8fHx2dmZlZWVhrzX7x48fHHH4f5ExMTX3zxRbSR8NtDhw4V72vX/0TzFxYW9myan5/PWzdvVAWrt53f7XZ2/X8dt5O3fFcxyQt1wca7jW2ZmBcfabcbTx35YHl5+fTp02NjYwcOHLh582bxcXU7+KmpqcZOL1y48OuvvxYPstvt903eaROEuJ07d+7Zs2fFW+h2/L/99ttnn30WMjIyMhLWOnv27O3bt9sOJpoZJiYnJ6Pfvv32221r6uPHj8Pgw/bDXkIHs7S01Ji/urp6+fLlgwcPhvkhd+fPn//pp5/KDLtghF0t0CqcRZXsugepW4eCXHer26EWn0t9oC3raDgD1O09IlwVd+7cWV9fX1tbC/emUMwa80NduXjx4qtXr8L8S5cuffPNN81rff7551evXi3ZUjQ/vHHjxsmTJ3/fFGpYeNh2rbxR5a2eN7/b7eQdUd52ervMorXyQt1tKrsNTls7JfKPHj06fPjwrVu3wq9C1xVu9AUH1e3g33vvvVAqXr9+HTZ+7dq1d955p3iQlUQ+hdYGK5v+448/QvPU2tM063b8oeKG5ibcGcLy4WE4pUOCQgbbDiaaGSZCqxRynf0qrBvmtDZYT58+DXsJgwnbDw8fPHgQnp80fnXmzJlwa2o0xOG333//fRh28ZjbDqbnBXpeZcc1WMW57pYGa/jssACFAjM7O9t4NhkmwsPG/JDpf/7zn2+88cbu3bsbD//xj3/s27cvPHOanp5uXmzj/z+Fbd1FKCfhuUhjOqyerRsmssK2sfn0MdS2UH56aLDC/Tp7wTxMnDhxouMWmkeVt3qZzZbZTpkjat5OJQ1WXqi7vd1vJThtDXLkw7nd8VWrzBYjk70IkTfIrUf+L3/5y969e8fHx8O13JhTcL2H3qLxIs3bb7/98OHDxvxQ3t56660w1EOHDjV69NaLvXX8jUP79NNP//3vf2czw3SYUzz+tqEI4ww3n7xj7Nhg/fjjj839UNjdDz/80Dr4kPrFxcW2uwgxCSdJ3gCad1pwk9zICX7xzbPbVVrv223TmncaNHv+/Pn58+fHxsbCuqHFbH59vXgjeTsN3VIISwhOCNGXX37ZQ66D+fn5iYmJsJHQ/r58+bKrKHU8orbxbD3bmyPccZt5Y95ouTxb91WmOodz+7vvvsu2GZ4G7N+/v3kvQ2aHNVhzc3MffPDB6qZz586Fh435IYUXLlzI8hQeht9mi4UzI5sfTbQK9+isujdX/XC9hfMyW+z9999vnCg9NFhhO9kdMEw0b7bMqPJWL7PZMtsJow0XUrgCjx49euXKlY7jKbN8q4IGqznUHTdeMrY9xLxhkCMfFv7qq6/CnStE78MPP3zx4kXBgfQ8+DDz+vXrza/BtB3kFiP/17/+Ndzxf//995D97IItuN7D3T8sHDYYKlz26tqf/vSnxss/za/nRWdI88Nwx1hYWAgtVGNs4e4fupkwvbS01JhZPP62134YQ0EiOjZY4WcI7H/+858w8fPPP4fp1gU2NlMfYtJ2F+H0mJmZCesWt1kdb5IFwc/bZrertN6326Y1b7PNjh071jjk8KQ3HEvojcofTtudho2ExcLYwvKhKekh13/729/CHsOWw5AuXryYnZAlo9TxiIrPpexhc4Q7bjNvzG0vz2hfZarz/fv3w1OgbJXwHCY0r3kBHAI7rMEKtSR7w0SYCM8tGtMhhY0XabOH//3vf7PFwlrZ/Ggisry8HE7BbBeffPLJpUuX1jaFieyVg3CWHD9+vHhTzQpu8RubzziLV49Glbd6x82W3E7m8ePH4aJqvZ1F2+m4fFvR3vNC3XHjJWPbbcwbBjzyYTvNf1fN/kjUVm+DbzxDDRfakydPige5xciHJ7KtZ1TB9Z61480v6R08eDA8V87eLtZ2ALv+v1Ajf/nll8avQlt2+PDhL774Ivxs++S+YPx5C7S+otC6SvTb0DSHdnlj81lc9jpctGTBMELJD11jKGONd+Z9/vnnbZuAjjfJguDn7brbVVrv223TmrfZPGHd8fHx8oeTt9Pnz583psNE20MoznUIfhbhP/74I/TEHUfS1RGVbLCaI9xxm3ljbnt5RvsqWZ3ffffdb7/9duN/f+Zu/I17WO2wBqvkTbzjYm1PzdA2HTlyJHuJeGPzVvXRRx+Njo6GU2dxcTE72yYnJxtPMaNNRRdY3ngKXsBoXb11VL29VFB+O83Cc5E9e/YUb6d4+TzRYeaFuuPGS8a2h1ewBj/yYcXml/2K30q8lVewwrPM7BlF3iC73X5XnUdDx+s9BCe0JuHkOXr06K1bt4oX3tgM2tWrV7MXq4K///3vYYHr169nc7o9cyYmJlobmuLDbPz5Jvtt2Euocz/88EP42dh16+oFr2A1C3Xu008/bX5vQ+uQGjreJMu8JaDbVYrv2x1H0uznn38OeQzZaZxUUUjLjy1v+baH0DHXzVqHVDySbo+ozLDLbLPMmMvsK++4bt++/eabb25s/pk7ezPAsNphDVaovs3PuvJ6/13dv4K1tLQUuukHDx7k7frmzZsXLlzIVo8UDztaIHpXR/P9vcyo8lYv2GxX22kWlfmOUeq5wWrWHOqOGy8Z2/Ixb9gRkZ+amsr7E3arLUambVVrHuQWt5/3ClbJ6z1aMTSjrVd93sJZY/rLL7+EIIcCEH5mg+n2zJmZmWn9q0e200OHDj169Kj5V+Fh2F20WNhCCGz2/p7WG1dXxalt7jreJEsGv1m3q5RssPI22yw0oz/++OPr16/DdPNbY7s9nObls1ewwoptD6E412FIzf/wmyk5ko5H1EPT03GbeWMu+QpWyey//fbbX3zxRbgWyrxZcEfbYQ1W4+/i4bb+8uXLDz74IO/PE7s2317wclPbtxeEm9dvv/2WLb+4uBhOrOjGt7H5F+JwtoWTIDwbPnLkSOtfSVp33Va0TOP/ksKWi/8vKW9Ueavnze92O+He3TjScH8J0ZudnS3eTt7yXcUkL9QdN14ytiVjXnykgxb50Ilmf1e9ePFi266058GHvT99+nRjs4uan5/PGou8QW4x8o03eYTFmt/kUf56z8bWKAOhwZqYmGjMjC725nVDjfn73/8ebvcbm2/Rfeutt8JT/I3NJ9lhZuOPFwXjb3vthxoTKk3YbGOn4ZQOW8uWvHr16rvvvpu9/h065uPHj4eZBRvcaFdTG39e+frrrxvFcnl5+ZNPPmn86tSpU6Edb3TeYcwhaG2bwo43ybzgR/FsVjJfrcdV/DBvs81CurO334VQtEas23MpLH/+/PlGfD788MPecv3+++83urRwyWRveCoZ2I5H1HZIBWd7mW3mjbnt5Rntq3z2v//++zAz+gedMpV0x9lhhxTuGp999tnoplCSsz/ftl4k4YlF418hGm9SiRa7du1a+FXe66LZ/HAGNN5BfPr06XALazuk4tMi74WuULE6frJOwetkeau3nd/tdsLdeXJyMiwWnrWEi6T5n0Habidv+a5ikhfqgo1XEpwyIxzYyAdXrlxpnOcfffRR8Zvcux18Npiw/eYP3yrIyBYjH7YWlon+i7Dk9d6Y+O677958882RkZHQKmV/Iiy42MP8UE4afWS4UfzrX//KtvnVV1+FOcXj35Vz7Yf6FNYNz+B3797d+CSq0PBlvw1HF4Y3silMNL8QlbfBXe1q6uPHjxv/ERb28uc//zn7HKyffvopNASN+eGaCh1w29ckdnW6SeYFP4pns5L5yjvevId5m20W0n348OFwyKHvDE9IWiPW7bkUlg+nfchRCFEIVN6b3opzHfqVQ4cOhV+FSyb777mSge14RG2j2nq2dxWlvDFvtLs8o32Vz344Vxt/JWyWd5LsaEN4SAAUG8p6lkhowUPPsd2jSCh7r1V/hDb0+++/7+cet4trDKB2NFgdzc3NvXz58sWLF3l/lxwOoX3M3oHXB99++23zJzUMN9cYSYy2s92Diu2IQXZrKA+KyjkrOlpcXNy3b9/Y2FjzB7EOn3CAX3/9dX/2Fc66gwcPZu9BHHoaLACAimmwAAAqpsECAKiYBgsAoGIaLACAimmwAAAqVpcGq/WzsAGACm13qR8sdQmHxANAOupspC7hkHgASEedjdQlHBIPAOmos5G6hEPiASAddTZSl3BIPACko85Ghjkc/rsBAPpDnY3UJRwSDwDpqLORuoRD4gEgHXU2UpdwSDwApKPORuoSDokHgHTU2UhdwiHxAJCOOhupSzgkHgDSUWcjdQmHxANAOupsZJjD4XOwAKA/1NlIXcIh8QCQjjobqUs4JB4A0lFnI3UJh8QDQDrqbKQu4ZB4AEhHnY3UJRwSDwDpqLORuoRD4gEgHXU2UpdwSDwApKPORoY5HD4HCwD6Q52N1CUcEg8A6aizkbqEQ+IBIB11NrIN4VhYWNizaX5+vu0Cd+/enZqaGh0dHR8fv3Dhwq+//lp+3TwSDwDpqLORfofjxo0bJ0+e/H1T6KLCw9Zl3nvvvdu3b79+/Xp9ff3atWvvvPNO+XXzSDwApKPORvodjtAh3bt3rzEdJk6cONFxldHR0Z7XzUg8AKSjzkb6HY6xsbH19fXGdJgIDwsWDgtcv3797NmzPawbkXgASEedjfQ7HFECRkZGCpYM9u3b9+TJk5Lr7ipU0REAADF1NjLor2B9+eWXx48f72HdiMQDQDrqbGSb34MVHnZcJXulqod1MxIPAOmos5Ht+S/ClZWV1v8EzHIzOzv79OnTMLG6ujo/P581UgXrdiTxAJCOOhvZhnCEnqntZ1lluVlaWpqcnAwPJyYmZmZmQkfVcd2OJB4A0lFnI3UJh8QDQDrqbKQu4ZB4AEhHnY3UJRwSDwDpqLORYQ6Hz8ECgP5QZyN1CYfEA0A66mykLuGQeABIR52N1CUcEg8A6aizkbqEQ+IBIB11NlKXcEg8AKSjzkbqEg6JB4B01NlIXcIh8QCQjjobGeZw+BwsAOgPdTZSl3BIPACko85G6hIOiQeAdNTZSF3CIfEAkI46G6lLOCQeANJRZyN1CYfEA0A66mykLuGQeABIR52N1CUcEg8A6aizkWEOh8/BAoD+UGcjdQmHxANAOupspC7hkHgASEedjdQlHBIPAOmos5G6hEPiASAddTZSl3BIPACko85G6hIOiQeAdNTZyDCHw8c0AEB/qLORuoRD4gEgHXU2UpdwSDwApKPORuoSDokHgHTU2cg2hGNhYWHPpvn5+bYL3L1799SpU6Ojo+Pj4zMzMysrK435W3lPlcQDQDrqbKTf4bhx48bJkyd/3zQ1NRUeti5z9uzZO3furK+vr62tXb58OTRbjflbSZ7EA0A66myk3+EI3dW9e/ca02HixIkTxcuHNmtkZKQxrcECgMGkzkb6HY6xsbHQMzWmw0R4WLz8rVu3ml/B2rt3b+i3jh49euXKla72K/EAkI46G+l3OKIEZK9OtbW8vHzs2LFnz55F8x8/fnzmzJm5ubnWjReoZPwAQCt1NjK4r2Ddv3//yJEjDx8+bPvb1dXVPXv2lN+vxANAOupsZJvfgxUetl1saWnp4MGDDx48yNuOBgsABoc6G9me/yJcWVlp/S/CLDeLi4sHDhx49OhRtO709PSTJ0/CxPPnz8+dOzc7O1t+vxIPAOmos5FtCMf8/Hzbz8HKcpP39qmlpaXJycnwcP/+/XNzc2tra+V3KvEAkI46G6lLOCQeANJRZyN1CYfEA0A66mykLuGQeABIR52NDHM4fA4WAPSHOhupSzgkHgDSUWcjdQmHxANAOupspC7hkHgASEedjdQlHBIPAOmos5G6hEPiASAddTZSl3BIPACko85GthSO6enp8fHxENO9e/fOzMxUNaYUJB4A0lFnI72H4/z58x988MHLly/DdPj5/vvvf/zxx9UNrAI+BwsA+kOdjfQejpGRkVevXmUPw/To6GgVQ0pC4gEgHXU20ns4Qju1traWPQwN1tjYWBVDSkLiASAddTbSezjOnTt3+vTp1dXVMB1+njp16pNPPqluYBWTeABIR52NbCkcFy9e3LNnz+7du8fHx2dnZ6saUwoSDwDpqLORuoRD4gEgHXU2UpdwSDwApKPORnoPx7Nnz/bt2xcCuvt/RkZGKhxZtSQeANJRZyO9h+ONN9745ptv1tfXKxxNtXwOFgD0hzob6T0cIZSD3F1FJB4A0lFnI72HY+/evc2fgzXgJB4A0lFnI72H49q1a9PT069fv65wNOlIPACko85GugvH7kLe5A4A9aTORuoSDokHgHTU2Ujv4di9e3eF40hN4gEgHXU20ns4xsfHX716VeFQKudjGgCgP9TZSO/huHr16vT09B9//FHhaNKReABIR52NbOlPhN7kDgBsqLMt6hIOiQeAdNTZyDaEY2FhYc+m+fn5tgvcvXv31KlTo6Oj4+PjMzMzKysr5dfNI/EAkI46G+l3OG7cuHHy5MnfN01NTYWHrcucPXv2zp076+vra2trly9fDs1W+XXzSDwApKPORvodjtAh3bt3rzEdJk6cOFG8fGizsrd2dbtuM4kHgHTU2Ui/wzE2NpZ9RXSYCA+Ll79161b2Cla36zaTeABIR52N9DscUQKK//FweXn52LFjz549K7nurkJVDB8AaEOdjQzuK1j3798/cuTIw4cPe1i3lcQDQDrqbGSb34MVHrZdbGlp6eDBgw8ePOhh3bYkHgDSUWcj2/NfhCsrK63/CZjlZnFx8cCBA48ePSq/bkcSDwDpqLORbQjH/Px828+yynJT8PapvHU7kngASEedjdQlHBIPAOmos5G6hEPiASAddTZSl3BIPACko85GhjkcPgcLAPpDnY3UJRwSDwDpqLORuoRD4gEgHXU2UpdwSDwApKPORuoSDokHgHTU2UhdwiHxAJCOOhupSzgkHgDSUWcjdQmHxANAOupsZJjD4XOwAKA/1NlIXcIh8QCQjjobqUs4JB4A0lFnI3UJh8QDQDrqbKQu4ZB4AEhHnY3UJRwSDwDpqLORuoRD4gEgHXU2Mszh8DENANAf6mykLuGQeABIR52N1CUcEg8A6aizkbqEQ+IBIB11NlKXcEg8AKSjzkbqEg6JB4B01NlIXcIh8QCQjjobqUs4JB4A0lFnI8McDp+DBQD9oc5G6hIOiQeAdNTZSF3CIfEAkI46G6lLOCQeANJRZyPbEI6FhYU9m+bn5/OWafvGqa28p0riASAddTbS73DcuHHj5MmTv2+ampoKDwsWbm2wet6vxANAOupspN/hCN3VvXv3GtNh4sSJEwULa7AAYEdQZyP9DsfY2Nj6+npjOkyEhwULtzZYe/fuHRkZOXr06JUrV7rar8QDQDrqbKTf4YgSELql8gtnHj9+fObMmbm5udblC2xx5ABAHnU2spNewWq2urq6Z8+e8vuVeABIR52NbPN7sMLDgoU1WACwI6izke35L8KVlZXW/yJszU00Z3p6+smTJ2Hi+fPn586dm52dLb9fiQeAdNTZyDaEY35+vu3nYDXnpu3bp5aWliYnJ8PD/fv3z83Nra2tld+pxANAOupspC7hkHgASEedjdQlHBIPAOmos5G6hEPiASAddTYyzOHwOVgA0B/qbKQu4ZB4AEhHnY3UJRwSDwDpqLORuoRD4gEgHXU2UpdwSDwApKPORuoSDokHgHTU2UhdwiHxAJCOOhsZ5nD4mAYA6A91NlKXcEg8AKSjzkbqEg6JB4B01NlIXcIh8QCQjjobqUs4JB4A0lFnI3UJh8QDQDrqbKQu4ZB4AEhHnY3UJRwSDwDpqLORYQ6Hz8ECgP5QZyN1CYfEA0A66mykLuGQeABIR52N1CUcEg8A6aizkbqEQ+IBIB11NlKXcEg8AKSjzkbqEg6JB4B01NlIXcIh8QCQjjobGeZw+BwsAOgPdTZSl3BIPACko85G6hIOiQeAdNTZSF3CIfEAkI46G6lLOCQeANJRZyN1CYfEA0A66mykLuGQeABIR52N1CUcuwCAlLa71A8W4SilD+dNf05NBzJQuximvTiQQdvL0BxIf/biQAZwLzudGJXiqhioXfRnL0NzIP3ZiwMZtL0MzYH0Zy8OZAD3stOJUSmuioHaRX/2MjQH0p+9OJBB28vQHEh/9uJABnAvO50YleKqGKhd9GcvQ3Mg/dmLAxm0vQzNgfRnLw5kAPey04lRKU6mQSMjg0ZGBo2MDCBJqRXJLsVVMWhkZNDIyKCRkQEkKbUi2aW4KgaNjAwaGRk0MjKAJKVWJLsUV8WgkZFBIyODRkYGkKTUimSX4qoYNDIyaGRk0MjIAJKUWpFsAICKabAAACqmwQIAqJgGCwCgYhosAICKabAAACqmwQIAqFgdG6y7d++eOnVqdHR0fHx8ZmZmZWUl+9XCwsKeTfPz83mr5y1TZl3aKsjIrv8pWF1GKpeXkYJMNZORyhVkZGpqqjH/woULv/76a9vVZSSRrQRWUoZeHRuss2fP3rlzZ319fW1t7fLly+G21Zh/48aNkydP/r4p3LPCw9Z185Ypsy558jKSKWiwZCSFvIx0zNSGjKSRF/n33nvv9u3br1+/Dr+6du3aO++807qujCSylcBKSh3UscFqFu5KIyMjjelwWt+7d68xHSZOnDiRLZYV+LxlCtalK80ZybQ2WDLSN20z0jpfRvomLyPB6OhoNi0jqfUQWEmplbo3WLdu3cqeC46NjYU7V2M6TISH2WLZVZG3TMG6dKU5I5mCBktGUmubkdb5MtI3bTMSQnr9+vWzZ89mc2QktR4CKym1UusGa3l5+dixY8+ePWs8jKp42+eIecuUWZeOooxkCv5EKCNJ5WUkb/6GjCTWNvKN9ynu27fvyZMnravISCJbCayk1EF9G6z79+8fOXLk4cOH2ZwyTx087UinNSOZggZLRtLJy0hBpjZkJKWCyIeQfvnll8ePH2/9lYwkspXASkod1LTBWlpaOnjw4IMHD5pnRn/8Dg9bV8xbpsy6FGibkUxBgyUjieRlpDhTGzKSTMfIb+S84CEjiWwlsJJSB3VssBYXFw8cOPDo0aNofuPfN1ZWVlr/fSMr8HnLFKxLR3kZyRS8B0tGUsjLSEGmZCSpvMjPzs4+ffo0TKyurs7PzzfXYxlJrYfASkqt1LHB2tUi+1W4Q7X9AJIyy+TNp6OCjBTMz6ZlpHJ5GSnOVDYtI5XLi/zS0tLk5GR4ODEx0foZctm0jCTSbWAlpVbq2GABACSlwQIAqJgGCwCgYhosAICKabAAoGsF333e1Rc5l/wO9bzV8/7vpPxol5eXT58+PTY2duDAgZs3b3YbB/JosACga3nfwN3tFzmX+Q71gtULmqoyo3306NHhw4dv3boVfhW6rs8++6zngBDRYAHAljR/A/dWvsi54Ju881Yv2WDl7WV6etqrVolosABgS5q/gXsrX4OT993qBauHBmvv3r2hYTp69OiVK1e6HW1Y96uvvnrjjTdGR0c//PDDFy9elNkCZWiwAKB30Tdw9/xFzgXfoV5m9cePH585c2Zubq7b0V68ePHVq1dra2uXLl36+OOPi1enPA0WAPSo9Ru4e3sFq3U70fvWy7wAtrq6umfPnrarF4w2tFaN6dBmjY6OdnX4FNBgAUAv2n4Ddw9f5Fzmm7zLfA90c4NVcrRTU1PNDVbbvo3eaLAAoGt538Dd7Rc5d/y2++LVp6ennzx5EiaeP39+7ty52dnZrkZ78+bNS5curW26ePHihQsXuokBRTRYANC1gu8+7+qLnAu2E2m7evaF3/v375+bm8tejio/2itXrkxMTIyOjn700Ufe5F4hDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFfs/JtVh9YsYjV4AAAAASUVORK5CYII=)
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