Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit256-07-20020223_203400_20020224_011900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/23 |
Start Time | | 2002/02/23 20:34 |
End Time | | 2002/02/24 01:17 |
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 | | 11.07 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 184.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit256-07-20020223_203400_20020224_011900-constBx0 |
Minimum Dst Value | | -1 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IE5vdiAxNCAxOTo0NzoyMSBFU1QgMjAyMJlxwQAAAAG7dEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyNTYtMDctMjAwMjAyMjNfMjAzNDAwXzIwMDIwMjI0XzAxMTkwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgIGFsb25nIFBvbGFyIHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTAyLTIzVDIwOjM0OjAwLjAwMFoiLCAibWF4IjoiMjAwMi0wMi0yNFQwMToxNzowMC4wMDBaIiwgImxlZnQiOjkxLCAicmlnaHQiOjcyMiwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOi01LjBFLTEwLCAibWF4Ijo1LjBFLTEwLCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19HC8uiQAAAARnQU1BAACvyDcFiukAAB/OSURBVHic7d1hZCRpGsDxsCJixAonTouIEGeNFetYIyIilnUi1lrLiBgnxrHGfhixjhbnjLVCxBgrYomzzn1YYcTaDzGG1mKNcYYYsSLWMM5aJ0YY44wTre/RNVdqquqteqv67Xc6/fx/H6K6Ul31Pu9TXc/Tne50XxMAAABO9b3pAQAAAPQaGiwAAADHaLAAAAAco8ECAABwjAYLAADAMRosAAAAx2iwAAAAHKPBAgAAcIwGCwAAwDEaLAAAAMdosAAAAByjwQIAAHCMBgsAAMAxGiwAAADHaLAAAAAco8ECAABwjAYLAADAMRosAAAAx2iwAAAAHKPBAgAAcIwGCwAAwDEaLAAAAMdosAAAAByjwQIAAHCMBgsAAMAxGiwAAADHaLAAAAAco8ECAABwjAYLAADAMRosAAAAx2iwiunrY8YAoLBOXDwPDg5GR0fL7bmrLuZdNRi4QlKLMT0MeHgAQIZOXCSvXLlSr9fL3berLtr+B9NV4fcqpriY3JMytkGtVpufnx8YGBgaGlpZWTk9PQ03i4re5ejo6IMPPhgcHJRnZt9++63pQGtra5daqtVq9OhRb7/9dup9TaMy7da0vuh+TNtnrJ+bmwvWX7t27ddffzXNRrnBZOz87OxsfHw8lppCk+NkkBmD7+jMZ0xCKtPgU89w03o53NLSkgxmeHj41q1bNvu3n/lOiI0/+tCTx+/HH3/89OnT7D0UHf+///3vzz//XK4M/f39cq+FhYV79+6lDia2UhampqZiv33vvfeiG4TrT05OZPCyfzmKdDB7e3vB+ufPn9+8eXNsbEzWywnzySef/PjjjzbDzhhhoQ2S5Gwpepd2Dldo5+GZcPXq1dgjy+1gfLZKtGWFMFnFFL1GyBXw/v37jUbj5cuXcm2SYpa9n+Pj44mJif39fbmLPCblYpq62c7Ozuzs7LMW6RLkZnKb27dvm67aplGZdmtaX3Q/pu1N6z/88EOpH+fn5/IrCef9999PDafcYLJ3vrq6ur6+Hk1T0cm50DNvmoRUuTNg+bqvtLnXr1//73//K4P505/+9Le//a3c5HiTbLDC5f/85z/SPCV7mqii45fuSpobyYhsLzdlouRCIRlMHUxspSxIqyS5Dn8l95U1yQbryZMnchQZjOxfbh4eHkrXG/zqD3/4g5wSwVMR+e3du3dl2NljTh1M6Q2c3MXJfe13Ll2pPHWRZrRzg6HB6lpM1ityTf/ss8+CZ5OyIDeD9XI+ff3117/97W/feuut4Obm5ubIyIg8c/rjH/8Y3az5+lPY5CGkjMkzv+j2SbLPjFetQnJdDl8Yl4WZmZnksaRRkyty7q6iozLtNvdwlvsxbW+zvlnk2WrRwcR2Ls/gZfak94qmqZ3JKT3INzjzqZOQKveglg2WpCB8QMlC2O21P/N//vOf33777aGhIXksh/s3Pd6ltwhepHnvvfceP34crJd25N1335URjo+PB51f8sGeDDM4qW7cuPGPf/wjXCnLsiZ7/KkzJuOUi48pxtwG64cffoj2Q3K477//Pjl4uQRtbW2lHkLmRE4S0wCiB824SDYNk5998Sxxl9Avv/wi/c3g4KCMX3rE6J8RMnbeNJ8M0lxKXBKdxLixsZE9881Wtx1eXjKOlTvaaCWKHih5Hka3zA1fyFPx4eFhGaQ00y9evAjXxx44yWPZ1E0563Z3d8N9SoNeqVSiR+lhNFivfPHFFx999NHzlo8//lhuBuvlRJEn1uHZIDflt+Fmcv6F62MLSXKNjr6CJSeunPG/+93vvvzyy3AbWbm9vS3npZzrn3766dnZWequ5NESXulkQW7GNpAaIKe7TeDRUZl2m3s4y/2Yts9dLzu5c+dO+GTdSVAZO19cXAyuCNFstjM5pQf5Bmc+dRJS5R60RIMlNSx3Eixn/i9/+YvUlWfPnsk+wwdsxuNdaoxsLDuULiF8XfM3v/lN8PJP9HXljFew5IqxtrYmLVQwNqkx0s3I8t7eXrAye/ypMyZjMF0QTHeJXZfkavPo0SNZePDggSwnN2i2LkEyJ6mHkNNjZWVF7pvdZuVeJDMm37TPEncJXb58ORizPFuQwUhvZD+e1JNBdiKbSYple+ldCjVYuYFkjDZaiUzHSm6ZG/5f//pXGZKEKRtcv349PL1THzixY9nUzYODA3lyEt5Fnl1IV5qMoifRYL0iPU34hglZkKcmwbKcKMEL8uHNf/3rX+Fmcq9wfWwh5ujoSE705HsyTk5O5CSOnpfRv5KEL87HxI6SfEFCrp7Hx8fGaA2jMu0293CW+zFtn70+eMIkGfn5559zIyo6mOTO5XIwPT2dvG/pyWlnkG9q5k2TkCr3oJYN1vLyspzzL1tkIXcSLGdeni4n4814vIdNXvQlvbGxMXlGHnujXrKwRUk/9NNPPwW/krZsYmLi1q1b8jP1JYSM8Zs2SL5ukbxL7Lfy5E2etjVb3XP4Olxsy4xhSHsnXaMUy+Adoqurq6kNX+5FMmPyTYcucZdUktOhoSH78aSeDLL9L7/8EizLQvbMx/5EWCiQ2GijlSj1WLlbpoYvqQzzJb1g+M7d1AdO7FiWdfPKlSvfffdd8/9/gA7++qwBDdYrlhfx3M1SHydSriYnJ8NXmGPkEXjp0qVgWa5c0Sfx4fOe2MU0+7n73bt3Y3/yj93dNKpyLxXY7yd7NjJmSXYiT3rCkp+h6GCSO5+amgqe5Tc79gpW98+8aRJSuXoFS6r11atX5ZyXq/bW1lZ4oS86OYU6j0Du410mR1oTGZI8ddnf38/euNl68K6vr4cvVomvvvpKNrhz5064puiZMzw8nGxossMM/5wU/FaOItX0+++/l5/BoZN3z3gFK0qq6Y0bN1JfCi16kcx940S5u4QePHggiZDpDc6K2JzY79y0vekEC8j5HH2Te+6xckebeqyMmzbhR2UfsWhBDNy7d++dd95ptv4AHf6ZXgMarFfkmh591mV6YpH75Cx5Uu7t7UnPfnh4aDp0tMGam5tL/StJTOzdG9HreLP14aB//vOfpsNljMq024zDFdqPafuM9VG5T/GLDiZ1530J2fux3H+5Qb6pmTdNQqrcGbBssKK+/fbba9euZe/fcuZNr2BZPt5jd5RmNPmoN20cPkH66aefZJKlzMjPcDBFz5yVlZXk31bCg46Pj8detJabcrjYZrIHudqE7+VKXrgKlcDUh2TuRdJy8qNK3CUk3eQPP/xwfn4uy9H3FBYdT3T78BUsuaNNI2IfSO5oc48Vu5m7Q9kg9UOOlq9gWeZFqtKtW7fkLLV5G1/PoMF6JfizuvQ6L168+Oijj0x/4+9rvb3gRUvq2wvk4hV9a7k8EZfTN/nXOrmKBX+Tkgeq7Cd8v5TUlfCvJNevXw9rTEzw+SN5VCQ/f1Sr1XLfZ20alWm3pvVF92Pa3rRepuXJkyfNVg9arVazK1DRwdjsPJr9opPjZJBvauZNk5AqdwYsG6wbN27ITuT6u7+/Pzk5Gf7Rts2ZD95KIptF30pi/3gPFuQBGxQbabCGh4eDlbEHe/S+Usm++uorKSrN1huB33333QcPHjRbT+VlZfAnkozxp86YVDKpZ7Lb4KAyUbK3cMv19fUrV66ErztKxzw9PS0rM3bYTGuwgj/ifPPNN0FJPjo6Wl5eDn41Pz8v7XjwDFDGLJNmetRkXyRNkx+bzyjLfKWSfIXvn5NYkiEXPRlk+08++SQI8NNPPy3UYOUeK3e0SRnnoc0O5SRZXFwMWkZ50IVv0kp94MSOZZ+Xu3fvysrYR7hs0neh9Xh49uSq8fnnnw+0yIU+/CNx8jEmTwGDD1wEb5aKbXb79m35lenV13C9XKempqbkpjxLkJMyfNVKfPnll8H+r169mvGeVukJUv+Djlzywn+NY5Lx+oRpt6nri+7HtH3uLMmEJP9LU5tB2ew8lv1Ck+NkkKb1nZ75jElIZRq8aeep6+XiG3y844MPPpC6brN/y5mXh5hsE/sUoeXjPVjY3d195513+vv7pVUK/0SY8WCX9VK0gg5eLhR///vfw31ub2/Lmtx5Sw1EqqDcd2Rk5K233gr+E5U0fOFvJToZXn+LLERfiDLtsC+tfp+cnASfO5Oj/P73vw//D9aPP/4o/USwXjIlT1FMj5rsi6Rp8mPzGWWZr1SSr4mJCRmzNI7yjCIZctGTQbaXK4ZMssQokZpexksdTO6xckeblDwPC4XfbPVY4+Pjso1cEqOf+Es+cGLHss+LnEXBXwltZqln9Hh4AACfer5qRkkPLa3Jmx5FGbF/99Bp0rLfvXvX5xG7gaJHAgCg0zQ0WF988cWLFy/Ozs6ifxe7QKQvDN8b58F3330X/U8NevT+IwE9ZiDNmx5U3IUYZFE9GRSc03BWbG1tjYyMDA4ORv+T6gUiI//mm2/8HEvOh7GxsfDdgarQYAEAADhGgwUAAOAYDRYAAIBjNFgAAACO0WABAAA4RoMFAADgGA3Wa5L/2BoAADj0pku9J1rizKAz8QAA+KenzmqJ05KexAMA4J+eOqslTkt6Eg8AgH966qyWOC3pSTwAAP7pqbNa4rSkJ/EAAPinp85qidOSnsQDAOCfnjqrJU5LehIPAIB/euqsljgt6Uk8AAD+6amzWuK0pCfxAAD4p6fOaonTkp7EAwDgn546qyVOS3oSDwCAf3rq7MWO0/T9Nmtra5daqtVq0R26Gx0AAHiNnjrbC3HGsrWzszM7O/usZW5uTm6W3hUAAHBIT53thThj2ZLuql6vB8uyMDMzU3pXAADAIT11thfijGVrcHCw0WgEy7IgN0vvCgAAOKSnzvZCnLFsxW729/eX3hUAAHBIT529SHGa3tLOK1gAAFwIeuqsszjPzs7Gx8eLTpyTjwFmvwdLbhYaj/3GAACgED111lmcq6ur6+vrsYlbXl5++PBheFOWZU3KINr7GGDq3U9PT01378tkEywAAChBT511E+fJycnExMT5+Xls4ur1eqVSCXos+SnLtVotZRBlPwZo6o2q1Sr/BwsAgG6jp866iXNxcXF3d7eZNnHSIY2MjGxvb0t3FbZN8UG4exNVm/QkHgAA//TUWQdxHhwcTE9Pv9pd2sRtbGzI+s3NTeMg3H0MsE16Eg8AgH966qyDOKemph49evRqd4mJq9VqlUqFV7AAAICeOusgzoz3iUtHNTo6Gn0PVmqP5fBjgG3Sk3gAAPzTU2cdx5n7KcKlpaXce+V+DLBz9CQeAAD/9NTZzjZYNtu7/Rhgm/QkHgAA//TUWS1xWtKTeAAA/NNTZ7XEaUlP4gEA8E9PndUSpyU9iQcAwD89dVZLnJb0JB4AAP/01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFa0pN4AAD801NntcRpSU/iAQDwT0+d1RJnBtPX9QAAALf01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFa0pN4AAD801NntcRpSU/iAQDwT0+d1RKnJT2JBwDAPz11VkuclvQkHgAA//TUWS1xWtKTeAAA/NNTZ7XEaUlP4gEA8E9Pnb3YcZq+32Ztbe1SS7VaLbpDd6MDAACv0VNneyHOWLZ2dnZmZ2eftczNzcnN0rsCAAAO6amzvRBnLFvSXdXr9WBZFmZmZkrvCgAAOKSnzvZCnLFsDQ4ONhqNYFkW5GbpXQEAAIf01NleiDOWrdjN/v7+0rsCAAAO6amzFylO01vaeQULAIALQU+ddRBnrVabn58fGBgYGhpaWVk5PT0tcHgXHwPMfg+W3Cw0HvuNAQBAIXrqrIM4FxYW7t+/32g0Xr58efPmTWm2wl8tLy8/fPgwvCnLsiZlEO19DDD17tLnme7el8kyagAAUJSeOus4Tmmzou95qtfrlUol6LHkpyzXarWUQZT9GKCpN6pWq/wfLAAAuo2eOus4zv39/egrWM1WhzQyMrK9vS3dVdg2xQfh7k1UbdKTeAAA/NNTZ13GeXR0dPny5adPn8bWb2xsyIRubm4aB+HuY4Bt0pN4AAD801NnncV5cHAwOTn5+PHj2PparVapVHgFCwAA6KmzbuLc29sbGxs7PDyMrZeOanR0NPoerNQey+HHANukJ/EAAPinp846iHNra0u6qOPj4+Svkp8iXFpaShlEwY8Bdo6exAMA4J+eOusgznb+04HzjwG2SU/iAQDwT0+d1RKnJT2JBwDAPz11VkuclvQkHgAA//TUWS1xWtKTeAAA/NNTZ7XEaUlP4gEA8E9PndUSpyU9iQcAwD89dVZLnJb0JB4AAP/01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFa0pN4AAD801NntcSZofQXKQIAgEL01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFa0pN4AAD801NntcRpSU/iAQDwT0+d1RKnJT2JBwDAPz11VkuclvQkHgAA//TUWS1xWtKTeAAA/NNTZ7XEaUlP4gEA8E9PndUSpyU9iQcAwD89dVZLnJb0JB4AAP/01FktcVrSk3gAAPzTU2d7J861tbVLLdVqtfRO9CQeAAD/9NTZHolzZ2dndnb2Wcvc3JzcLLcfPYkHAMA/PXW2R+KU7qperwfLsjAzM1NuP3oSDwCAf3rqbI/EOTg42Gg0gmVZkJvl9qMn8QAA+KenzvZInLGE9ff3Z2+cocMjBQBALz11tkfi5BUsAAC6n5462yNxxt6DJTfL7UdP4gEA8E9Pne2ROINPEZ6eniY/RVgol3oSDwCAf3rqbO/EWa1WU/8PFg0WAABdQk+d1RKnJT2JBwDAPz11VkuclvQkHgAA//TUWS1xWtKTeAAA/NNTZ7XEaUlP4gEA8E9PndUSpyU9iQcAwD89dVZLnJb0JB4AAP/01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFa0pN4AAD801NntcRpSU/iAQDwT0+d1RKnJT2JBwDAPz11VkucGfpe96aHAwBAz9JTZ7XEaUlP4gEA8E9PndUSpyU9iQcAwD89dVZLnJb0JB4AAP/01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFa0pN4AAD801NntcRpSU/iAQDwT0+d1RKnJT2JBwDAPz11VkuclvQkHgAA//TU2Ysdp+kLBNfW1i61VKvVojt0NzoAAPAaPXW2F+KMZWtnZ2d2dvZZy9zcnNwsvSsAAOCQnjrbC3HGsiXdVb1eD5ZlYWZmpvSuAACAQ3rqbC/EGcvW4OBgo9EIlmVBbpbeFQAAcEhPne2FOGPZit3s7+8vvSsAAOCQnjp7keI0vaWdV7AAALgQ9NRZB3HWarX5+fmBgYGhoaGVlZXT09MCh3fxMcDs92DJzULjsd8YAAAUoqfOOohzYWHh/v37jUbj5cuXN2/elGYr/NXy8vLDhw/Dm7Isa1IG0d7HAFPvLn2e6e59mSyjBgAARemps47jlDYr+p6ner1eqVSCHkt+ynKtVksZRNmPAZp6o2q1yv/BAgCg2+ips47j3N/fj76C1Wx1SCMjI9vb29JdhW1TfBDu3kTVJj2JBwDAPz111mWcR0dHly9ffvr0aWz9xsaGTOjm5qZxEO4+BtgmPYkHAMA/PXW2TJypb1c6ODiYnJx8/PhxbONarVapVHgFCwAA6KmzbuLc29sbGxs7PDyMrZeOanR0NPoerNQey+HHANukJ/EAAPinp846iHNra0u6qOPj4+Svkp8iXFpaShlEwY8Bdo6exAMA4J+eOusgznb+04HzjwG2SU/iAQDwT0+d1RKnJT2JBwDAPz11VkuclvQkHgAA//TUWS1xWtKTeAAA/NNTZ7XEaUlP4gEA8E9PndUSpyU9iQcAwD89dVZLnJb0JB4AAP/01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFmKP09PwAAoBA9dVZLnJb0JB4AAP/01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFa0pN4AAD801NntcRpSU/iAQDwT0+d1RKnJT2JBwDAPz11VkuclvQkHgAA//TUWS1xWtKTeAAA/NNTZy92nKbvt1lbW7vUUq1Wi+7Q3egAAMBr9NTZXogzlq2dnZ3Z2dlnLXNzc3Kz9K4AAIBDeupsL8QZy5Z0V/V6PViWhZmZmdK7AgAADumps70QZyxbg4ODjUYjWJYFuVl6VwAAwCE9dbYX4oxlK3azv7+/9K4AAIBDeursRYrT9JZ2XsECAOBC0FNnncV5dnY2Pj5edOKcfAww+z1YcrPQeOw3BgAAheips87iXF1dXV9fj03c8vLyw4cPw5uyLGtSBtHexwBT7356emq6e18mm2ABAEAJeuqsmzhPTk4mJibOz89jE1ev1yuVStBjyU9ZrtVqKYMo+zFAU29UrVb5P1gAAHQbPXXWTZyLi4u7u7vNtImTDmlkZGR7e1u6q7Btig/C3Zuo2qQn8QAA+KenzjqI8+DgYHp6+tXu0iZuY2ND1m9ubhoH4e5jgG3Sk3gAAPzTU2fLxBn7k9zU1NSjR4/CX8U2rtVqlUqFV7AAAICeOusgzoz3iUtHNTo6Gn0PVmqP5fBjgG3Sk3gAAPzTU2cdx5n7KcKlpaXce+V+DLBz9CQeAAD/9NTZzjZYNtu7/Rhgm/QkHgAA//TUWS1xWtKTeAAA/NNTZ7XEaUlP4gEA8E9PndUSpyU9iQcAwD89dVZLnJb0JB4AAP/01FktcVrSk3gAAPzTU2e1xGlJT+IBAPBPT53VEqclPYkHAMA/PXVWS5yW9CQeAAD/9NRZLXFa0pN4AAD801NntcRpSU/iAQDwT0+d1RKnJT2JBwDAPz11VkuclvoAAEAnvelS74mWOP3zcA75OU0JpKsO4ecoBNJVh/BzFALptqMQyEWnNGwPeuasJZCuOoSfoxBIVx3Cz1EIpNuOQiAXndKwPeiZs5ZAuuoQfo5CIF11CD9HIZBuOwqBXHRKw/agZ85aAumqQ/g5CoF01SH8HIVAuu0oBHLRKQ27N6g9a7sWGek2ZKTbkJFuQ0Y6h5m9wHhgdBsy0m3ISLchI92GjHQOM3uB8cDoNmSk25CRbkNGug0Z6Rxm9gLjgdFtyEi3ISPdhox0GzLSOczsBcYDo9uQkW5DRroNGek2ZKRzmFkAAADHaLAAAAAco8ECAABwjAYLAADAMRosAAAAx2iwAAAAHKPBAgAAcIwGq1vUarX5+fmBgYGhoaGVlZXT09PwV33/l3H3tbW1Sy3VatVmPXKZMpKRqSgy4lxGRubm5oL1165d+/XXX1PvTkY6oZ1ZJSOdYJo96oh/NFjdYmFh4f79+41G4+XLlzdv3pRCEtsg44Gxs7MzOzv7rEUqjdzMXg8bpozkZqpJRjrDNPMffvjhvXv3zs/P5Ve3b99+//33k/clI53QzqySkU7InT3qiE80WN1I6kR/f39sZfKBEa6Rs79erwfLsjAzM5O9HkWlZiS5nox4Y8qIGBgYCJfJSEeVmFUy0lG5s0cd8YkGqxvt7+/bvIIVrhkcHJR6EyzLgtzMXo+iUjOSXE9GvEnNiEzpnTt3FhYWwjVkpKNKzCoZ6ajc2aOO+ESD1XWOjo4uX7789OnT2PqMl3Zjvwqf2ZvWoxBTRkzrm2Skw1JnPnh/ycjIyM8//5y8CxnphHZmlYx0Qu7sUUd8osHqLgcHB5OTk48fP07+KuOBwTOPzjFlJCNTTTLSSRkzL1O6sbExPT2d/BUZ6YR2ZpWMdEKJV7By70tGSqPB6iJ7e3tjY2OHh4epv814YMT+Ri43s9fDkikj2ZlqkpGOyZ35puEZNhnphHZmlYx0Qu7sUUd8osHqFltbW6Ojo8fHx6YNMv52HnzK4/T0NPXTH8n1sGHKSEamyEhHmWb+s88+e/LkiSw8f/68Wq1GCwAZ6agSs0pGOip39qgjPtFgdYu+BNOvouvDZakrqf+nxLQeuUwZyc5UuExGnDPN/N7e3tTUlNwcHh5O/g+5cJmMdELRWSUjnZYx81y1PKPBAgAAcIwGCwAAwDEaLAAAAMdosAAAAByjwQIAlJHxxeeFvjbY8gvU27x79mZnZ2fj4+MZ/8UAKIqTCQBQhunrt4t+bbDNF6i3f/fszVZXV9fX12mw4BAnEwCgXdGv327na4Mzvsa7zbtnbHZycjIxMXF+fk6DBYc4mQAA7Yp+/XY7X7pi+mL19u+esdni4uLu7m4z8x+dA0VxMgEA2hL7+u3SXxuc8QXq7d/dtNnBwUH4/ZU0WHCIkwkAUF7y67fLvYKV3E/s3463eXfTZlNTU48ePQrvUjR8wISTCQBQUurXb5f42mCbr/Fu8+6mzTK+/ApoB2cSAKAM09dvF/3a4Nyvundyd5vN6K7gECcTAKCMjNd+Cn1tsP1rSO3c3WYzGiw4xMkEAADgGA0WAACAYzRYAAAAjtFgAQAAOEaDBQAA4BgNFgAAgGM0WAAAAI7RYAEAADhGgwUAAOAYDRYAAIBjNFgAAACO0WABAAA4RoMFAADgGA0WAACAYzRYAAAAjtFgAQAAOEaDBQAA4BgNFgAAgGM0WAAAAI7RYAEAADhGgwUAAOAYDRYAAIBjNFgAAACO0WABAAA4RoMFAADgGA0WAACAY/8DRyAMbB278OYAAAAASUVORK5CYII=)
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