Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit305-07-20020620_082900_20020620_131000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/20 |
Start Time | | 2002/06/20 08:29 |
End Time | | 2002/06/20 13:08 |
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 | | -23.44 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.81 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 149.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit305-07-20020620_082900_20020620_131000-constBx0 |
Minimum Dst Value | | -17 |
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 Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU3VuIEFwciAyOCAwNDo1Mjo0MCBFRFQgMjAxOTLglz4AAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMDUtMDgtMjAwMjA2MjBfMTMxMTAwXzIwMDIwNjIwXzE3NTIwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMyB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNi0yMFQxMzoxMTowMC4wMDBaIiwgIm1heCI6IjIwMDItMDYtMjBUMTc6NTA6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoyLjk4NTEwOTk5OTUsICJtYXgiOjYuMjg3MDkwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfa3UqAsAAAAEZ0FNQQAAr8g3BYrpAAAjGElEQVR4nO3df3AU9fnAcQQkMWnzvWBKGiQIpljphFQZZcAAAkZUKIq20wb5qdbSIhnTVkhsBEp/QNspjDiUYNO04wwoxA4yWmLHsdIO1MrEOrSpoYgCIbZAgiA/ND8M4fs062yvn/2Rvct+juX2/fojs7e3+9nd59nd57nLXdLnAgAAAHzV52LvAAAAQLKhwQIAAPAZDRYAAIDPaLAAAAB8RoMFAADgMxosAAAAn9FgAQAA+IwGCwAAwGc0WAAAAD6jwQIAAPAZDRYAAIDPaLAAAAB8RoMFAADgMxosAAAAn9FgAQAA+IwGCwAAwGc0WAAAAD6jwQIAAPAZDRYAAIDPaLAAAAB8RoMFAADgMxosAAAAn9FgAQAA+IwGCwAAwGc0WAAAAD6jwQIAAPAZDRYAAIDPaLAAAAB8RoMFAADgMxosAAAAn13yDVafPpf8IQBA4um4eb722msjRozocWQdm75YtYAaBCeX/JnhdHJz0gOACx03yfHjx2/btu2ibJoGy0dJeVCJd8kHMdaXSjt27Jg4cWJKSkpOTs78+fOPHTtmzO/q6lq6dGkkEsnMzCwvL5eH5urRnLbitPq77777pS99KdJNJuSh7eovvfTSlClTUlNTZa8efPDBEydOuA/rND/WccTevXunTp2anp4+ePDg6urquMdxCr41bk4pcFreaX6swSHyysmckZFhO9/34CSM0/Fedtll2dnZxcXFTU1NLqvHsf9Hjx5dtGjRsGHDLr/8clnrjjvukNPbdmeUmTLxhS98IXoTMj1y5MjoBcyn9u3bd++99w4cOHDAgAE33njjc889Z8z/4IMPZD9HjBhxxRVXyNbvvvvuV155pcd9tu5M3AtYyUnV1tbW+03HQXdP4JSF+Lbry9663Ev93ZBHtGWKSz4csd4jJk+eLC+wTp06debMmZUrV0r9MOZv3Lhx9OjRB7vJRFVVlcfx3VcfN25cRUXFqW6PPfaYPLRd/bbbbqutrT179uzx48cXLlw4ffp092Gd5sc6zv79+3Nzczdt2nTy5MnGxsZZs2bFN447jylwWt5pfqzBsRWqyEdbu3bto48+6r6YX8FJGGuDZUycP3/+X//613e/+93x48e7rB7r/r/33ntXX321DNvQ0PDRRx9JA/riiy/efvvttjujzJQJKdIvvPCC+dTzzz8vc6wN1ttvvy3d4c9//nM5T6R3ef3117/85S8bT8m2HnroIVmgvb29ubl569att9xyi/s+2+5M3AvEvcol12C5ZOEiNlg93kv92pBHNFiK4IZDTuJHHnkku5tMmK+KJIVSG4YMGSKvSo2HP/3pTwcNGiQvLB5++GG50ZiLXfjfl+bWTUjlSEtLM6al9ZFaYkzLRGFhYfQ4PXJaXcaXU9+YPn36tLk5F7J8enq6+7BO82MdR+r6+vXre78/7lxiGJ2CHpdX5vcmOLbCE3m5TIYPHy79gftise6Mx538+OOPly1bNnTo0EgkIhXLmOlyvVdWVkofk5qaOnbs2Pr6emP+K6+8csMNN8hMecrohKwXu3JcH3zwwRVXXCET3/zmN3/961+b86urq2WO+/7bhuiBBx6QV01OEeuxwaqpqYnehBzdc889Z935++6770c/+pHtJuRw5KCcdiB6oy43yQsOwXe/eca6ivW+bZtWp9Mgmrw4keZGjiUjI+Oee+5paWnxcjjuG5UTQAaU5SVQtsfrkgWn88186OVcldcAP/zhD4cNG5aZmXn//fefO3fONm4unO6l1osiesAeg+m0Y9ar2LotL0V8woQJzz77rLnD0r/m5OR4OasvCcFtsCR5RUVFTd2kT1++fLkxX3Jz9913y+tR86Es9l43mfj+979vzlcmFHKirF692nxRLqeXeW7Ja0E5aczVs7Ky5MTNz89ft25dZ2en7WhOq3/lK1+RPZfTRV5kPP744/KwxwPfvn37pEmT3Id1mh/rOHLeS5zlhJYLbN68ebKT8Y3jzmMKelxemd+b4NgKT+TlLi/3yujFejzJ/QqOkEIlQ73zzjsnT54sLS01Zrpc7zNnzjx06JCcLfIa3exIJHS//e1v5ZYtd+QHH3zQ9niji8TRo0fLysqMN3ikw5g4ceLWrVtlesuWLTLd0dHhvv+2kZR9kPpke4xOq0Tfl2SvRowY8ec//1ke7ty5U6ZljvXGJaeK00cL7rzzzq9+9au7d+/+6KOPnHbjgoebpEvwncaMdRXrfds2rU7DRisoKHj11VflkOW+unjx4q9//eveD8d2o3Jnlkj+q9vUqVNtD8ElCz02WF7O1TVr1tx6660HDx6Ui2LOnDnf+c53bOPmxOleartX0QP2GEynHbO9ipVteSniv//970eOHClnvvGUxOcnP/mJ+8FeQoLbYF1zzTVvvfWWMS0vNfLy8oxpyc3hw4fNxeShudg//vGP6MWUiWhGly0v6Q4cOGDM6du3r3GTFTLRr1+/6OXl2qirq5ML0jyTFE6rG79EMDYnEz1eJ2+++ebw4cPNu7bTsO57630cmZBr5ni34uLiBQsWxDeOO48pcF/eOj/u4NgKT+TlXnbttdc2NDQo811Ocr+CY/jc5z5nvnlgcrnepTcypj/88EPjLSiRm5v75JNPHjlyxOV4+/wveQkutwjjqWPHjskRlZeXy0/zkyuxBrl///7RnY31rQLrKsqzTz311F133XWh+5d9v/zlL60LGFtpbW213YHTp09LDfviF7+YmpoqAXz00UdtX/r3eJN0Cb7Tsce6ivW+bZtWp2GdSASGDBni/XCcNrpv3z5jWla0PQSXLPTYYHk5V6+77rp//vOfxrSckFIszMWi4+a0A073Utu9chrQNphOO2Z7FSvb8ljEb7rpps2bN1/o/j2s7ICkxvVwLyXBbbDklmGe0DIhD41pyU30J0PlodNiyoRCTqYVK1ZMmDDBeOjlxbe8/oh+Zyv6Zuq0uvTvjz32mPkZLHlou7pBXsUOHTp0z5495pz43iqIaRx5aExLpc/KyopvHHceU9Dj8vrewQpV5Lds2TJjxgynVaJP8jgOyult4OizPfrSNrlc77ZH9Ne//nXmzJlXXnnliBEjzN/rOS1s7E9FRUX0h1Tk9bQsYP6O0mX/nXz2s5+1voNlbvTyyy9XfsMlxyU9XPRiskBOTs4zzzwjP83fsinjuLx3YpJbonRO8+fPd3oPwz22HoMfLdZVrPdt5Vn3YaPJywDJo7TLxkll9sGxHk708mamZHnbQ+jNO1hezlXp9qJfDESfJ0rcrIXjgvO91HavogfsMZhOO2Z7FSvb8ljEt2/f/vnPf76zs3PWrFnSiVoP4dIV3AbL4yuk6BdnMmFdzOVX13JSxvQZl6amJrnMbIdyWl3OTo+fwZKyN3jw4DfeeMPLsC57G9M448ePl+puTMurk+gyH9M47lxu09Ep6HF5Zb5fn8EKW+Svv/763bt3O62inOR+BSealJmY3sFyOSK5Tf/ud7+TRsd4qFzsysJyJZpvWuzdu1deK2/btu2qq64yX/fHGmRpaMrLy5WZ5kZHjhz5+uuvRz/1l7/8ZdiwYcpiq1ev7t+/v/lrEWu1vu+++1atWuW+JwZ5FffpT3/aOr/Hm6RT8F1unnG8g+XloZd3sGTm008//f7770tJlp/WiMV6Lnl5B8slC9GNmvnuy9GjR2M6V6XDOHTokMvgPbK9l1o3pAzYYzCddsz2Kla25TEREplRo0YtWbJErg7zA4LJIbgNlrzcNH99Ky32448/bsy3XiRTp041Pl4gE9aPAnzmM5+J/m3I3Llz5WFHR8eRI0cWL15svuCrrKy0/QJRcXGxnBmSdVlL9qekpMR2b51Wl1u27LnxDtb3vvc9p1v2mjVrhg4dal7kPQ7rND/Wcaqrq2fPnm3+osr8XE6s47hTUuaUAqflnebHGhxboYr8he7vdd98883KTKeT3K/gKH784x9PmjTp3Xffjf70hvfr3dxnuXfLPkvRkhbQmKlc7NHrnjhxYtmyZWPHjr3Q/YEVuaH/6U9/kukXXnjhhhtuMH7T57L/tufk4cOHZdPmtwjlcF588UVzyV/84heylT/+8Y+nu+3cuTM/P/9nP/uZy4AX7Bqst99+W6ry2rVrJTJtbW179uwxv792yy23bN26VRp0uZpknxcuXHjnnXfajul+k3QKvhLPaB7z5RRAp4dOw0aTaDz//PMSCjmFJBTWiMV6Lsny5mewbr/9dttDcMmCubzc3leuXClnl+TirrvuiulcfeKJJ2SfZY4s9ve///1rX/uaezwNPd5LrRtSBuwxmE47ZnsVK9vyfpLICzmZ+atf/Sp6pvfmMrCCewCtra1yoze+gCAT5juN1ovE+IJMZmbmt771rejvKRgTUiQikYj5sKampqCgYMCAAbm5uXI/kp7dmC9NtHTQxh+sKisrM9/ANJZPSUmR7ltOF6dfwzutLpflHXfc8X/d5Bp+5513bFfvY3H27FmXYZ3mxzrOhe5flGRlZUn05Fo1P2odxzhejss9BU7LO82PNThE/kL3O2fbt29XFnY6yf0KjkLqgbzYGDJkiBy7VCxjpvfr3Zh49tln5bV1amqqtEevvvqqMVO52KP3fODAgVLzjAtw3rx5xgeeDLIPRoPrsv99HO71jY2NDzzwgFTN/v37X3nllffcc89rr71mRuM3v/nNjTfeaFz+MvH000/3OGAfS4UTUrRkZNkruWpuuukm8y8w/eEPf5D5EkaJw/Dhwx9++OHoqyl6TPebpFPwlXhG85gvp+N1eug0bDR5kSCpv/zyy6X7f/LJJ60Ri/VckgW+8Y1vSHAkRD/4wQ9kZNtDcMqCOY68SpEO3vi24IYNG2I6V8+fPy/Hct1118llKH25eZE6xdPgci81WS+KmILptGO2V7GyLe8niQRzxIgRH3/8cfRM92O/JFzyBwAAcJEEhSph/va3v0mrerH34iLr7OyUFwyJ3OKMGTOeeeaZRG4xMbjwACCZ0WD1qLS09OjRo4cPH7711lu//e1vX+zducjq6urMbwvqdv78+aeeemrUqFHmX2pIJlx46C3rL5ICeEO/JHYyVkl5UPAdZ0WPnnjiiSFDhgwaNOihhx5Kpj8TEJ9PfepTGzZsSMy25OQcNmyYtHSJ2VyCceEBAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHwWlgbL9gvtAADALxe71AdLWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VJHM4+PAdAACJQZ1VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqtI5nDwLUIAABKDOqsIUDj27t07derU9PT0wYMHV1dXWxfo6upaunRpJBLJzMwsLy+Xh94HJ/EAAOhDnVUEJRz79+/Pzc3dtGnTyZMnGxsbZ82aZV1m48aNo0ePPthNJqqqqryPT+IBANCHOqsISjiko1q/fr37MuPGjautrTWmZaKwsND7+CQeAAB9qLOKoIQjOzt72bJlOTk5AwcOnDdv3qlTp6zLZGRktLS0GNPNzc2RSMT7+CQeAAB9qLOKoISjX79+c+bMOd6tuLh4wYIF1mX69u3b0dFhTMuErKIs0MeV9mMAACCsqLOKoIQjIyOjubnZmJYeKysry3YZ3sECACCAqLOKoIRj/Pjx0lcZ08eOHbNtsPgMFgAAwUSdVQQlHNXV1bNnzzZ/RXj//febT5k5q6ys5FuEAAAEEHVWEaBwLF++PCsrKzMzc+7cudEfcjdz1tXVtWTJkki3srIy/g4WAAABQZ1VhCUcJB4AAH2os4pkDgffIgQAIDGos4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqtI5nDwIXcAABKDOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VpHM4eBbhAAAJAZ1VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIpnDwbcIAQBIDOqsIijh8NIM9aZhIvEAAOhDnVUEJRxeEtOb5JF4AAD0oc4qghIOGiwAAC5d1FlFUMIhicnKykpLS8vPz1+3bl1nZ2d8y7iM79/OAgCA/0GdVQQrHG1tbXV1dYWFhaWlpXEs08eV5n0HACC8qLOKIIajsbExEon0fploJB4AAH2os4oghqOpqSk7O7v3y0Qj8QAA6EOdVQQlHMXFxfX19e3t7Q0NDUVFRSUlJeZTZs5clukRiQcAQB/qrCIo4aipqSkoKEhJScnLy6uoqGhtbTWfMnPmskyPSDwAAPpQZxVhCQeJBwBAH+qsIpnDwbcIAQBIDOqsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKpI5HHzIHQCAxKDOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VJHM4+BYhAACJQZ1VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRTKHgw+5AwCQGNRZRVjCQeIBANCHOqsISji8vNvU1dW1dOnSSCSSmZlZXl4uD2Ma36c9BQAAKuqsIijh8JKYjRs3jh49+mA3maiqqvJ3fAAAEB/qrCIo4fCSmHHjxtXW1hrTMlFYWOjv+AAAID7UWUVQwiGJycrKSktLy8/PX7duXWdnp3WZjIyMlpYWY7q5uTkSicQ0vj87CgAALKizimCFo62tra6urrCwsLS01Pps3759Ozo6jGmZ6Nevn7JAH1fa9x4AgLCiziqCGI7Gxkbbd6d4BwsAgGCiziqCGI6mpqbs7GzrfD6DBQBAMFFnFUEJR3FxcX19fXt7e0NDQ1FRUUlJifmUmbPKykq+RQgAQABRZxVBCUdNTU1BQUFKSkpeXl5FRUVra6v5lJmzrq6uJUuWRLqVlZXxd7AAAAgI6qwimcPBh9wBAEgM6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWYX/4WhtbX388cfz8vJSU1Pl5/Lly9va2nzfihd8ixAAgMSgzir8D0dJScmUKVPq6+ul05KfkydPfuSRR3zfSqxIPAAA+lBnFf6HIzs7u6mpyXzo9H9vEozEAwCgD3VWQYMFAAB6izqr0PIrwqKiorfeequ1tVV+yjS/IgQAILlRZxVaPuReUVFxzTXXpKamys9ly5bxIXcAAJIbdVYRlnCQeAAA9KHOKsISDhIPAIA+1FmF/+Gor68vLCy84oorAvXruSDsAwAAyYo6q/A/HGPHjl25cuWHH37o+8i9QeIBANCHOqvwPxypqannzp3zfdheIvEAAOhDnVX4H46rr7760KFDvg8bB75FCABAYlBnFf6HY8OGDTNnzjx69KjvI/cGiQcAQB/qrMKfcPTpicdxWlpacnNznZbvzTtSJB4AAH2os4pghWPRokWrVq1yabDiHpnEAwCgD3VW4X84LrvssvhWbGhoyMvLa21tpcECAODSQp1V+B+Oq6666t///nccK06bNm3z5s0XnJMk87OystLS0vLz89etW9fZ2el9cBIPAIA+1FmF/+FYu3btvffee/jw4a6uLu9rvfzyy2PGjDFWcU9SW1tbXV1dYWFhaWmp8pQvnwMDAACxos4q/A9HfM3NqFGjdu3aZY7Q4/KNjY2RSCSmvfK+MAAAiAl1VhGUcMTakzU1NWVnZ8c0fu92EAAAOKLOKoIYDiVJ5sPi4uL6+vr29vaGhoaioqKSkpK4xwQAAD6iziqCGA6nBqumpqagoCAlJSUvL6+ioqK1tTXuMQEAgI+os4pkDgcfcgcAIDGos4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFckcDr5FCABAYlBnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VpHM4eBD7gAAJAZ1VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIpnDwbcIAQBIDOqsIljhaGlpyc3NdUpSV1fX0qVLI5FIZmZmeXm5PPQ+MokHAEAf6qwiWOFYtGjRqlWrnJK0cePG0aNHH+wmE1VVVd5HJvEAAOhDnVUEKBwNDQ15eXmtra1OSRo3blxtba0xLROFhYXeByfxAADoQ51VBCgc06ZN27x58wXnJGVkZLS0tBjTzc3NkUjE++AkHgAAfaiziqCE4+WXXx4zZozxsSqnJPXt27ejo8OYlol+/fopC/RxpXX/AQAIM+qsIijhGDVq1K5du4xp3sECAODSQp1VBCUcXt5w4jNYAAAEE3VWEcRwKEkyH1ZWVvItQgAAAog6qwhiOJwarK6uriVLlkS6lZWV8XewAAAICOqsIizhIPEAAOhDnVUkczj4FiEAAIlBnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFMoeDD7kDAJAY1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4pkDgffIgQAIDGos4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqtI5nDwIXcAABKDOqsISzhIPAAA+lBnFUEJx44dOyZOnJiSkpKTkzN//vxjx45Zl+nNO1IkHgAAfaiziqCEY/Lkydu2bTt16tSZM2dWrlw5ZcoU6zK9SR6JBwBAH+qsIojhOHv2bFpamnU+DRYAAMFEnVUELhznzp1bvXr19OnTrU9J8rKysqT3ys/PX7duXWdnp/dhSTwAAPpQZxXBCofx4apBgwYdOHDAaZm2tra6urrCwsLS0lLb1Z1o3ncAAMKLOqsIXDhOnz69YsWKCRMmuC/W2NgYiUS8D0viAQDQhzqrCGI4pMdKT093X6apqSk7O9v7mCQeAAB9qLOKoIRj7ty5DQ0NHR0dR44cWbx4cfRnsMycFRcX19fXt7e3y5JFRUUlJSXexyfxAADoQ51VBCUcNTU1BQUFAwYMyM3NXbhw4fvvv28+ZebMWCYlJSUvL6+ioqK1tdX7+CQeAAB9qLOKsISDxAMAoA91VpHM4eBbhAAAJAZ1VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxXJHA4+5A4AQGJQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKpI5HHyLEACAxKDOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCKZw8GH3AEASAzqrCIs4SDxAADoQ51VBCUcO3bsmDhxYkpKSk5Ozvz5848dO2Zdpqura+nSpZFIJDMzs7y8XB56H5/EAwCgD3VWEZRwTJ48edu2badOnTpz5szKlSunTJliXWbjxo2jR48+2E0mqqqqvI9P4gEA0Ic6qwhiOM6ePZuWlmadP27cuNraWmNaJgoLC72PSeIBANCHOqsIXDjOnTu3evXq6dOnW5/KyMhoaWkxppubmyORiPdhSTwAAPpQZxXBCofxdb9BgwYdOHDA+mzfvn07OjqMaZno16+f7epOtO89AABhRZ1VBC4cp0+fXrFixYQJE6xP9fIdLAAAoI8/fUCyCGI4pMdKT0+3zu/NZ7DcJeC0SMyZx1bYClthK5f0VpLmQNgKghKyuXPnNjQ0dHR0HDlyZPHixdGfwTLzWllZGfe3CN1x12ArbIWtsJUgbCVpDoStICghq6mpKSgoGDBgQG5u7sKFC99//33zKTOvXV1dS5YsiXQrKyuL6e9gueOuwVbYClthK0HYStIcCFsBIfsP7hpsha2wFbYShK0kzYGwFRAyxIwrLZjISzCRlwAiKUgATjLEjHtTMJGXYCIvAURSkACcZIgZ96ZgIi/BRF4CiKQgATjJEDPuTcFEXoKJvAQQSUECcJIhZtybgom8BBN5CSCSggTgJAMAAPAZDRYAAIDPaLAAAAB8RoMFAADgMxosAAAAn9FgAQAA+IwGCwAAwGc0WPjPn4QxWJ9qaWnJzc11+psxXV1dS5cujUQimZmZ5eXl8tB9PmJim5c+/8t2RfKilVPw9+7dO3Xq1PT09MGDB1dXV1tXJC/6eLlYMjIyrCuSFOhDg4VP2FbrRYsWrVq1yqmQb9y4cfTo0Qe7yURVVZX7fMTBWjN6XIW8JICSiP3798tLkU2bNp08ebKxsXHWrFnWVciLbi5Xx9q1ax999FHrfJICfWiw8AnrvamhoSEvL6+1tdWpxo8bN662ttaYlonCwkL3+YiD9waLvCSSkgjpqNavX+++JHnRzenqaG9vHz58+HvvvWddkqRAHxosfMJ6b5o2bdrmzZutT5kPMzIyWlpajOnm5uZIJOI+H3GwBj8rKystLS0/P3/dunWdnZ3WJclLAih5yc7OXrZsWU5OzsCBA+fNm3fq1CnrkuRFN6cGq6qq6v7777ddkqRAHxosfEK5N7388stjxowxPnngdNvq27dvR0eHMS0T/fr1c5+PONgGv62tra6uTl5Vl5aWWp8lLwmg5EWCOWfOnOPdiouLFyxYYF2FvOhme7GcP3/+2muvbWhosF2FpEAfGix8Qrk3jRo1ateuXbZPmXjxlwAuvxNsbGy0jS15SQAlLxJbCakxLT1WVlaWdRXyopvtxbJly5YZM2Y4rUJSoA8NFj7h/gUc2zsXH19IAJcGq6mpKTs72zqfvCSAkpfx48dLX2VMHzt2zLbBIi+62V4s119//e7du51WISnQhwYLn/Dy6WnlYWVlpe0XbZzmIw5K8IuLi+vr69vb2xsaGoqKikpKSqxLkpcEUPJSXV09e/Zs81eE0Z/4IS8JY72J7dix4+abb3ZZkqRAHxos9PynlZwarK6uriVLlkS6lZWVRf8JGdv5iIltXmpqagoKClJSUvLy8ioqKlpbW6OXNybIi1ZO18vy5cuzsrIyMzPnzp1r+yF38qKPU1LGjx+/fft22+WNCZICfWiwAAAAfEaDBQAA4DMaLAAAAJ/RYAEAAPiMBivsXnrppSlTpqSmpubk5Dz44IMnTpww5sf6P1CdxlG4/AvVHv9Xbhx7CwDARUGDFXa33XZbbW3t2bNnjx8/vnDhwunTpxvzY/0fqE7jKJxW9/K/cuPYWwAALgoaLPzXmTNn0tPTjene/P296HEUTqu7/K/c3uwtAAAXBQ0W/mv79u2TJk0ypnvzHySix1E4re7yv3J7s7cAAFwUNFj4xJtvvjl8+PD9+/cbD+P+H6jKOAqn1b38r9w49hYAgIuCBgv/sXPnzqFDh+7Zs8ecE987WNZxlL+t7DKs7f/Ktf378t73FgCAi4IGC//5b/ODBw9+4403omfG8Rks23EUTqt7+V+5cewtAAAXBQ1W2K1Zs2bo0KH79u1T5sf6P1CdxvE4rMv/yu3N3gIAcFHQYIVdH4uzZ89eiP1/oDqNo3D5F6pO/yu3N3sLAMBFQYMFAADgMxosAAAAn9FgAQAA+IwGCwAAwGc0WAAAAD6jwQIAAPAZDRYAAIDPaLAAAAB8RoMFAADgMxosAAAAn9FgAQAA+IwGCwAAwGc0WAAAAD6jwQIAAPAZDRYAAIDPaLAAAAB8RoMFAADgMxosAAAAn9FgAQAA+IwGCwAAwGc0WAAAAD6jwQIAAPAZDRYAAIDPaLAAAAB8RoMFAADgMxosAAAAn/0/0660E9KgknkAAAAASUVORK5CYII=)
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