Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit342-11-20020917_063100_20020917_111600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/17 |
Start Time | | 2002/09/17 06:31 |
End Time | | 2002/09/17 11:14 |
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 | | 2.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.71 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 195.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit342-11-20020917_063100_20020917_111600-constBx0 |
Minimum Dst Value | | -21 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEphbiAxOSAxNzo1NToxMCBFU1QgMjAxOHez/ocAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNDItMTEtMjAwMjA5MTdfMDYzMTAwXzIwMDIwOTE3XzExMTYwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wOS0xN1QwNjozMTowMC4wMDBaIiwgIm1heCI6IjIwMDItMDktMTdUMTE6MTQ6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjQyNDUwNzQ5OTUsICJtYXgiOjIuNDc4MDQyNTAwNSwgInRvcCI6NTIsICJib3R0b20iOjI0OCwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfUNIZFAAAAAEZ0FNQQAAr8g3BYrpAAA1wklEQVR4nO3df3QV9Zn4ccgPCT+abyJRfjRAkKDQDTSy0A0QNWLAKKhoU5vKj0bBBVtcs7sBokRFF2vsARY9KLEENz2HLZGyNa0R6W7W6IE25cQl3aWSKmqwsRsltrGkbZQo+T4n8z3zvb33zuT+mHvv5D7v1x85k7l3Zj6fzzP3Ps+dmTt3WD8AAAAcNSzWDQAAAIg3FFgAAAAOo8ACAABwGAUWAACAwyiwAAAAHEaBBQAA4DAKLAAAAIdRYAEAADiMAgsAAMBhFFgAAAAOo8ACAABwGAUWAACAwyiwAAAAHEaBBQAA4DAKLAAAAIdRYAEAADiMAgsAAMBhFFgAAAAOo8ACAABwGAUWAACAwyiwAAAAHEaBBQAA4DAKLAAAAIdRYAEAADiMAgsAAMBhFFgAAAAOo8ACAABwGAUWAACAwyiwAAAAHEaBBQAA4LD4LLCGDYvPfgFAREXizfPnP//59OnTB11zJDYdq1xADkK/tgKLnR4AbETiTTI/P/9HP/pRTDZNgeWguOxURMXneAX7Uemll166+uqrR4wYMWHChG9+85sffPCB56NdXV2TJk3yXOTll19etGhRSkqKPH/NmjUfffSRzYYMAc73ZLWVCxcubNq0KS0tLT09vaKiQv61nx/serq7u1evXn3xxRdnZGQ8/PDDgzZ72F9KTU216ZTVRsUvf/nLJUuWjB49euLEifv27TNm2oTGb2OCHRw9I2+1khDm+42UIyMfCVaDNnz48HHjxpWUlHR0dNgsHkL7Ozs7v/Wtb2VlZSUnJ8tSRUVFshv7bYzXTJn40pe+5LkJmZ45c6bnE8yH2trabrvtNtlbLrroorlz5/7whz805n/88cfSzunTp48cOVK2fssttzQ2Ng7aZt/GhPwEX7JnfvLJJ+FvOgSRrgmsohDadp1q7aD5JZqlkuayLD57Hux7xLXXXisfsCS9nTt37pFHHpGk6PmovFd+5zvf8Vxk8eLFhw8f7unp+fDDD9etW7d06dLQ2mPfTqutVFdXz5kz590BMrF37177+cGup7S0VLLOBwNuv/325557LvBm79y5s7y83KZTVht98803pYrdv3//73//+/fee+8b3/iGMd8+NL6NCXZw/IrLkR90JQHOt4qUIyMfCb4FljHx+eef//a3v/3Hf/zH/Px8m8WDbf/7778/ZcoUWe2pU6f+/Oc/S1X94osvXn/99X4b4zVTJiRJ/+QnPzEfeuGFF2SOb4H11ltvSXW4fft2CYHULr/4xS+++tWvGg/Jtu6++255wqeffnr27Nnnn3/+mmuusW+z38aE/ISQFxlyBZZNFGJbYA26Ngqs6BhiPZed+L777hs3QCbMT0USQkkwmZmZ8qnU+PeJJ5649NJL5YPFt7/9bXmjMZ/W/5ef+303Ielw1KhR5r/yLjlt2rTe3l6rvUQSv3yUt292aAWW1Vbmz58vaduYlomFCxfazw92PWPHjpWCwJiWTO+bfqyaLeM8depUSTA2HbHaqOTp3bt32yzY7xMav40JZ3D8ipuRH3QlAc63ilSYI9/X1/fggw9Onjw5LS1NMpYx0+b1vmfPHqljUlJS8vLyTp48acxvbGy88sorZaY8ZFRCvi92r+58/PHHI0eOlIn169d7VrT79u2TOfbt9ztid9111/333++3j1aLeLbt4MGDnpuQ3v3whz/0bfwdd9yxbds2v5uQ7kinrBrguVGbN8l+i8G3f/MMdhHf922/YbXaDTxJ3S/FjfQlNTX11ltv7erqCqQ79huVHUBWKM+XgfLbX5soWO1v5r+B7KvyGeCf/umfsrKy0tPT77zzzj/+8Y9+x82KzSva90XhucJBB9OqYb6vYt9tBZLEr7rqqgMHDpgNlvp1woQJgezVbjPECiwJXmFhYceAa6+99qGHHjLmS2xuueUW+Txq/itPe3+ATGzdutWc7zXhRXaUxx9/3POI1I033viv//qvNovU19cXFBTYNzv8AstzK7LTm3u8fEKVXdl+frDrkTQv/xrTku9912PVbHmbkBebfUesNiovNgmuvIrkVb169eru7m6vBX1D47cx4QyOX3Ez8oOuJMD5VpEKc+QlUcn4vP3227///e/LysqMmTav9+XLl7e3t8te8cgjj5gVibTq0KFD8pYt78hr1qzx237PJNHZ2bl582bjAI9UGFdfffXzzz8v03V1dTJ9/vx5+/b7HTFpg+Qnv320WsTzfUlaNX369J/97Gfyb1NTk0zLHN83LonCO++843cTN9xww+23337s2LE///nPVs3oD+BN0mbwrdYZ7CK+79t+w2q1Wk+zZ89+5ZVXpMuShjds2LB27drAu+N3o5WVlTKSvx2wZMkSv12wicKgBVYg++qOHTuuu+66d999V14UK1eu/Id/+Ae/42bFJlK+rfJc4aCDadUwv69ir20FksSPHDkyc+ZM2fONh2R8qqqq7DvrTkOswLrsssveeOMNY1o+akybNs2YlticOXPGfJr8az7tV7/6lefTvCY8GVW2fKQ7ffq0Meff//3fv/KVrxiXRPhd5MSJE1OnTrV5P7XZnM18+60kJCQYb/1CJhITE+3nB7ueVatWrVix4sMB8hEtKSkpkGbLi+Hyyy8/deqUfV+sNioT8kI1NlpSUlJaWuq1Ra/QWDUm5MHxK55G3n4lgc+3ilSYI5+dnW0ePDDZvN6lNjKm//SnPxmHoMSkSZOeeuqp3/zmNzbtH/aX5CO4vEUYD33wwQcSpoqKCvlrXu0X7J4jUfOsbHwPFfgu4vXos88+e/PNN/cPnOz73ve+5/sEYyu9vb1+G/CHP/xBctiXv/zllJQUGcDy8nK/H/0HfZO0GXyrvge7iO/7tt+wWq3WioxAZmZm4N2x2mhbW5sxLQv67YJNFAYtsALZV2fMmPHrX//amJYdcsqUKebTPMfNSlAFltUK/Q6mVcP8voq9thVgEp83b55xaOOtt96SBkhorPriZkOswJK3DHOHlgn515iW2HheGSr/Wj3Na8KL7EwPP/zwVVddZfw7a9aso0ePWi0iny8nT558/Phxz+16vpl6zve7Oau3fvuthHaoIPD1/O53v5PsLolHPp899thj48ePD6Q78qH/pptu8ttNTzaN9zx4k5GR4bWgV2isGuPgEaw4G3n7lQQ+3ypSwQ6O197u+dI22bze/bbwv/7rv5YvXz527Njp06eb5/Wsnmy0Z8uWLZ4X9snnaXmCeY7Spv1WJGq+n7jMjSYnJ3ud4ZJ+SQ3n+TR5woQJE37wgx/IX/Msm9d6bI6dmOQtUSqnb37zm34vEh30TTLAwfcU7CK+79tej9qv1lNLS4vEUV47xk5l1sHBdsfz+WakrC4RCecIViD7qlR7nh8GPPcTr3ELKu/4bZXnCgcdTKuG+X0Ve20rwCReX19/xRVXfPbZZ9/4xjekErXqiMsNsQIrwE9Inh/OZML3aTanriWRm9fKDPNhPk2y2sSJE19//fVAmh1sSrPfSggXuwS1Hk9PP/20pPxAmp2bm3vs2DH77thsND8/3/PyI98Cq/8vQ2PVGKeuwYq/kbdfSeDzrSIV5shLmgnqCJZNC+VtuqGhwSxPvV7sXk8+d+6cedDil7/8pXxW/tGPfvTFL37RPFYa7J4jBU1FRYXXTHOjM2fO/MUvfuH5UHNzc1ZWltfTHn/88aSkJPO0iG+2ln3jO9/5jn1LDN3d3V/4whd85w/6Jmk1+DZvniEcwQrk30COYMnM73//+/IRRVKy/PUdsWD3pUCOYNlEwbNQM4++dHZ2BrWvSoXR3t5us3J7Nk+zf1EMOphWDfP7KvbaVoCBkJGZNWvWxo0b5dVhXiA45AyxAks+bpqnb6XErqysNOb7vkiWLFliXF4gE76XAlxyySWep1RWrVol/54/f/43v/nNhg0brD7wmdM7duyYPHmy+fIbVGgFltVW9uzZ4/drTVbzg13PihUrZHjlffnAgQOTJk0yDwXbNPull15asGCBTV8G3ei+ffvMs2MlJSXmFUWDhsarMcEOjl9xOfI2KwlqvlWkwhz5xx57rKCg4J133vG8eiPw17sxIe2R9255O5akJXWtMdPrxe657EcfffTggw/m5eX1D1zkJ2/or732mkz/5Cc/ufLKK40zfTbt9ztiZ86ckU2b3yKU7rz44ovmM6Vulq28+uqrfxjQ1NSUk5Pz3e9+12aFnvPNibfeekuy8s6dO2VkPvnkk+PHj5vfX7vmmmuef/55qX3lVSNtXrdu3Q033OB3nfZvklaD7zWengKMl9UAWv1rtVpPMhovvPCCDIXsQjIUviMW7L4kzzevwbr++uv9dsEmCubzpSJ/5JFHZO+SWNx8881B7au7du2SNsscedr//M//fP3rX7cfTy82T7N5UfQHMJhWDfP7KvbaVuA7iXw6lZk1NTUBdsqFhlJb+weOKN57773GFxBkwjzS6PsiMb4gk56efs8993h+T8GYkMyXlpZm/nvw4MHZs2dfdNFFktXk/Uhqdt9Ne27C98hWT0+P3wZbHQCzmm+zrLkVKe2lrk8bsHnzZs8bDvmdH+x6JIPKC37UqFGLFy8+ceJEIN3Jz8+vr6/32wsvVhvtHzg7k5GRISGTosq8dNomNH4bE+zg6Bl5m5UEO99vpMIceakGHnjggczMTFmtZCxjZuCvd2NCClP5bJ2SkiLl0SuvvGLM9Hqxe/bo4osvlpz39ttvy/zVq1cbFzwZpA1G7WjT/mEWr9z33nvvrrvuklAmJSWNHTv21ltv/fnPf26Oxr/8y7/MnTv3/wyQie9///uDrnCYT4brH/iCs6xZWiWvjnnz5pl3YPrP//xPmS/DKOMwderUb3/721ZvaPZvklaD7zWengKMl1V/rf61Wq0n+aQhoU9OTpaPNE899ZTviAW7L8kT/vZv/1YGR4bo0UcflTX77YJVFMz1nDx5Uip449uCzzzzTFD76ueffy59mTFjxogRI6QuN1/pVuPp2Qu/r1yT74siqMG0apjfV7HXtgLfSWQwp0+f3tfX59U1+767ylBqKwDAEUMrUcXWf//3f0upGutWxNhnn33m+7WbiLrpppt+8IMfRHOLjuM1BgDqUGANqqysrLOz88yZM9ddd93f//3fx7o5MdbS0mJ+WzDSPv/882effXbWrFnmnRqGKF5jiAjfs2MufEMfEo0MVlx2Co5jrxjUrl27MjMzL7300rvvvnuI3ibAQWPGjHnmmWeisy3ZObOysqSki87mIofXGAAAgMMosAAAABxGgQUAAOAwCiwAAACHUWABAAA4jAILAADAYVoKLL/fXQcAAFEW64ogStT0U01EAQBwLT3pWE0/1UQUAADX0pOO1fRTTUQBAHAtPelYTT/VRBQAANfSk47V9FNNRAEAcC096VhNP9VEFAAA19KTjtX0U01EAQBwLT3pOJ77qfPGGwAAuFBfX19dXZ2edKymn2oiCgCAC+3fv1/V8Q41/VQTUQAAXOi+++6jwIpDeiIKAIDbdHd3Z2RkUGDFIT0RBQDAbUpLSyURFxQU6EnHavqpJqIAALhKU1OTZOGUlJS2tjY96VhNP9VEFAAA9+jt7c3OzpYsvG3btn5N6VhNP9VEFAAA96ioqJAUnJOT09fX168pHavpp5qIAgDgEq2trUkDmpubjTl60nE895MbjQIAECt9fX15eXmSfzds2GDO1JOO1fRTTUQBAIi59vb2srIySb6ZmZk9PT3mfD3pWE0/1UQUAIDYOn36tHn6qKGhwfMhPelYTT/VRBQAgNhqbm42qqvZs2d7PaQnHavpp5qIAgAQW7W1tZJ2R48efebMGa+H9KRjNf1UE1EAAGKoo6MjLS1N0u6hQ4d8H9WTjtX0U01EAQCIoWXLlknOLS4u9vuonnSspp9qIgoAQKwYJwczMjK6urr8PkFPOlbTTzURBQAgJuxPDhr0pGM1/VQTUQAAYsL+5KBBTzqO535yJ3cAAKJj0JODBj3pWE0/1UQUAIAoC+TkoEFPOlbTTzURBQAgygI5OWjQk47V9FNNRAEAiKYATw4a9KRjNf1UE1EAAKIm8JODBj3pWE0/1UQUAICoCfzkoEFPOlbTTzURBQAgOoI6OWjQk47V9FNNRAEAiIJgTw4a9KRjNf1UE1EAAKIg2JODBj3pWE0/1UQUAIBIe/LJJ4M9OWjQk47juZ/cyR0AAMc9/vjjRmJ9/vnng11WTzpW0081EQUAIKIuv/xyo8Bqb28Pdlk96VhNP9VEFACAyOnr60tPT5esumXLlhAW15OO1fRTTUQBAIicxsZGSanZ2dmhLa4nHavpp5qIAgAQOWvXrpWUWllZGdrietKxW/r58ssvL1q0KCUlZcKECWvWrPnoo498n3PhwoVNmzalpaWlp6dXVFTIv4GvX09EAQCIkL6+voyMDEmpra2toa1BTzp2Sz8XL158+PDhnp6eDz/8cN26dUuXLvV9TnV19Zw5c94dIBN79+4NfP16IgoAQISEeX6wX1M6dmM/z507N3r0aN/58+fPlyLMmJaJhQsXBr5OPREFACBCwjw/2K8pHbuxn/X19QUFBb7zU1NTzRuanT17Ni0tLfB16okoAACREP75wX5N6dh1/Txx4sTUqVPffPNN34cSEhLOnz9vTMtEYmKi1xOG2Yp40wEAiF/hnx/sp8CKlaampsmTJx8/ftzvoxzBAgAgVsI/P9ivKR27qJ91dXUTJ058/fXXrZ7ANVgAAMSEI+cH+zWlY7f0c8eOHZMnT25ra/N9yAzGnj17+BYhAADR58j5wX5N6dgt/fS9ZKqnp8d8yJi4cOHCxo0b0wZs3ryZ+2ABABAdjpwf7NeUjtX0U01EAQBwllPnB/s1pWM1/VQTUQAAnOXU+cF+TelYTT/VRBQAAGc5dX6wX1M6VtNPNREFAMBBDp4f7NeUjtX0U01EAQBwkIPnB/s1peN47id3cgcAIEwOnh/sp8CKP3oiCgCAU5w9P9ivKR2r6aeaiAIA4BRnzw/2a0rHavqpJqIAADjF2fOD/ZrSsZp+qokoAACOcPz8YL+mdKymn2oiCgCAIxw/P9ivKR2r6aeaiAIA4AjHzw/2a0rHavqpJqIAAIQvEucH+zWlYzX9VBNRAADCF4nzg/2a0nE895MbjQIAEJpInB/sp8CKP3oiCgBAmCJ0frBfUzpW0081EQUAIEwROj/Yrykdq+mnmogCABCmCJ0f7NeUjtX0U01EAQAIR+TOD/ZrSsdq+qkmogAAhKyzs3PBggWSNMeNGxeJ9etJx2r6qSaiAADYaG9v7+joMKZ7e3tbW1tra2vLysoKCwuNA1eGKVOmRGLretKxmn6qiSgAAFaOHj0qCTEhIWHJkiU5OTlJSUletzRKS0uT0uriiy/+8Y9/HIkG6EnHavqpJqIAAFipra31qqikzCouLq6qqmpoaDCPbEWOnnSspp9qIgoAgJWf/vSnkhBHjBjxve99r6Wlpbe3N8oN0JOO47mf3MkdAABTX19fbm6uJMRt27bFqg160rGafqqJKAAAftXU1Eg2zMrKiv6BK5OedKymn2oiCgCAr+7u7vHjx0s2rKuri2Ez9KRjNf1UE1EAAHxVVFRIKszPz49tM/SkYzX9VBNRAAC8nD59OiUlRVJhS0tLbFuiJx2r6aeaiAIA4KW4uFjyYGlpaawboigdq+mnmogCAOCpqalJkuCYMWM6Oztj3RZF6VhNP9VEFAAAkxtuzeBJTzpW0081EQUAwOSGWzN40pOO47mf3GgUAKCZS27N4ElPOlbTTzURBQAMOX19fS+//HJRUdHjjz/u4GpdcmsGT3rSsZp+qokoAGCoaG9vr66uLi4uTktLM8+3VFZWSr0V/srdc2sGT3rSsZp+qokoAMDNenp66uvr169fn52d7Xkdi3EuzzB37tyjR4+GuSH33JrBk550rKafaiIKAHChF198cc6cObNnz05KSjILqbS0NCmDqqur29vb+weOOe3bty8zM9N4dOXKlR0dHaFtzlW3ZvCkJx2r6aeaiAIAXGjEiBFG2SQFVn5+/tatW5ubm/2eCuzt7a2srDTO7kmFtG3btmC/AOi2WzN40pOOne+nsWdMmzZNdg75+9BDD33yyScBNWWwr/uF861APREFALjN/v37jcx1zTXX9PT0BLJIe3u7cY5PZGdn19fXB745t92awZOedOx8P++9995FixadPHlS4ip/r7322vvuuy+IBtkWWCG3Sk9EAQCu0tXVlZGREdrxpMbGxpycHKPMKiwsbGtrG3QRF96awZOedOx8P8eNG+d5zlimZU4QDaLAAgDEkZKSEqM8Cm3xvr6+3bt3G18zHD58+JgxY7Zs2dLU1CTFlpRuvs9ft26d227N4ElPOh5iBZZ8CBg1apSU808++eRnn33myGoBAIiQhoYG41Iq4zL2kEktZZ4x9JKVlTV37tyioqLS0tJ58+YZM111awZPetJxRE4RSp3+xhtv9Pb2yl+ZduoUoeGTTz6R/WbhwoVlZWW+y9oIuicAAIShu7vb+Ergrl27HFnh0qVL09PTr7vuuoKCguzsbM+7Z3lKTk524dVXBj3pOCIXuW/ZsuWyyy5LSUmRvw8++GCAF7n/vwYFNvTvvfee7FiOrxYAAKds2LBBsk9eXp4jNw71S9bc3t7e3Nzc0NBQW1u7du3auXPnHjx4MEKbC5+edOy6fgY49A6eeQQAwHHGnaiSkpICuTJdDz3p2HX99B16c05JScnJkyc//fTTU6dOFRYW3nvvveGsFgCACOnt7Z0xY4aknq1bt8a6Le6iJx0730+pgRYuXDhy5Mhgr3+yumTKnD548ODs2bNHjBgxbdq0LVu2BHWCWU9EAQAxV15eLnknJycncicHhyg96dj5fubl5T3yyCN/+tOfHF9zOPREFAAQW62trUkDmpubY90W19GTjp3vZ0pKyh//+EfHVxsmPREFAMSQ+TM15eXlsW6LG+lJx873c8qUKWHe7SMS9EQUABBDVVVVxr2pAvxJHG30pGPn+/nMM88sX76cn+8GAGjT1tZm/EhzU1NTrNviUnrSsTP9tL/DZ6xG0w1tAADokZ+fL+mmtLQ01g1xLz3pWE0/1UQUABATu3fvllyTmZnZ3d0d67a4l5507Hw/hw8f7vg6w6cnogCA6KutrTVODh46dCjWbXE1PenY+X5+8Ytf/N///V/HVxsmPREFAETZsWPHjGtR5syZE+u2uJ2edOx8P3fu3HnbbbedOXPmwoULjq88ZHoiCgCIsvXr1xsF1t69e2PdFrfTk46d76d7LnL3alWsmwAAiEONjY1JSUmJiYlVVVWxbssQoCcdq+mnmogCAKKms7Nz/Pjx/OZg4PSkYzX9VBNRAEB09PX1FRYWSn6Rv/zmYID0pGM1/VQTUQBAdGzdulWSy/jx4912b20305OO1fRTTUQBAFFgXHolZCLWbRlK9KTjeO6n2y60BwBEX3Nzc2trq7Pr5NKrkOlJx2r6qSaiAABTQ0OD8Rn7Zz/7mVPr5NKrcOhJx2r6qSaiAABTbW2tUWAtWLDAqWKIS6/CoScdq+mnmogCAExSAyUnJxs1VkVFRfgr5NKrMOlJx2r6qSaiAABTVVWVvP/n5uZKSSQTNTU14ayNS6/Cpycdq+mnmogCAAx9fX2ZmZny/t/Y2CillUxImdXU1BTy2rj0Knx60rGafqqJKADAcOjQIXnzz8nJMf6tqKiQf9PS0tra2kJYG5deOUJPOlbTTzURBQAY8vPz5c2/urra+Levr2/58uUyZ8aMGV1dXUGtikuvnKInHavpp5qIAgBEa2urcbyqt7fXnNnT05ObmyvzCwoKAj/N98Ybb6SmpnLplSP0pON47ic3GgUAtdauXSvv/OXl5V7zzQvVS0tLB11Jd3d3ZWVlYmKiPF/+BnvcC770pGM1/VQTUQCAVEIpKSlJSUnt7e2+j7a0tIwZM0byQlVVldUa+vr6du3alZGRYX5KT01N7enpiWCjddCTjtX0U01EAQDG3RmWL19u9YT6+nqjbJIJ30fr6uqys7ONJxQUFLz22msyJ7RL4+FFTzpW0081EQUA5fr6+oyTgPYXpBtF2JgxY1paWsyZTU1Nc+fONUqrGTNm+C2/EA496VhNP9VEFACUq6ur87w7g43S0lJ55rhx43784x+fPHly2bJlRmkl9VlNTQ03u4oEPelYTT/VRBQAlMvLy/O8O4MNKaEKCgqMoiohIcH41uHWrVs9v3gIZ+lJx2r6qSaiAKBZS0uL790ZbHR1dQ0fPlwWkb8bNmzgJqKRpicdq+mnmogCgGYrV670e3cGG/v377/lllteffXVyLUKJj3pWE0/1UQUANTq7Oy0uTsD3EBPOlbTTzURBQC1tm3bZn93BsScnnQcz/3kTu4AoEeAd2dAbOlJx2r6qSaiAKBT4HdnQAzpScdq+qkmogDgBkePHt28eXM0v5QX+N0ZEEN60rGafqqJKADEVmtra0lJiXHvg8zMzOhsNNi7MyBW9KRjNf1UE1EAiJWGhgbzvp1GgSVkZhQ2HcLdGRATetKxmn6qiSgAhOnEiRNf+9rXnnrqqQBP8PX29tbW1ubk5BgVVVpamhQ6spKvfvWrxs/OdHV1RbTB3J1hCNGTjl3Uz0G/7nfhwoVNmzbJSzc9Pb2iokL+DWrlTrQRAOKZ59k9s1rKy8tbv379rl27jhw54lVydXd3V1VVGd/dM04IytNkpvkE44BWcXFxRJvN3RmGED3p2HX9tBn66urqOXPmvDtAJvbu3evIagEAnmf3jF/lS05OHjt27DAfUnL9zd/8TX5+vvwdPXq0MTM3N3f//v2+v47c3t4+ZswYeYI8GqGWc3eGoUVPOnZdP22Gfv78+YcPHzamZWLhwoWOrBYA1PJ7du/MmTP19fUdHR39Az/V19TUtHv37g0bNkgFlpGR4VVvFRUV2Vc2sn5jzcYKHcfdGYYWPenYdf20GfrU1FTzRP7Zs2fl5erIagFAoUHP7lmR9+HnnnvOOMr17LPPBrKtZcuWyZMLCwvDbrUfs2bN4u4MQ4iedOy6ftoMvbyez58/b0zLRGJiou+yNiLYaABxra+vb8uWLTfffPPbb78d67Y44MiRI9dcc82gZ/fsdXR0tLW1BfhkqcmMQ1+7d+8Ovr12ioqKZLVJSUncnWGo0JOOXddPjmABcBXJ3MYtAAwFBQU1NTU9PT2xblcoOjs777nnnsDP7jno0KFDssUxY8YEXpYNSgIhpZWsduTIkcEWiIgVPenYdf3kGiwA7tHQ0JCdnW2UI8OHD7/ooouM6ZSUlJKSEnl0qOR1Ka3Kysqk2WZ1Je2PchtKS0tlu3l5eeEPmlRp5iX5WVlZZmqA++lJx67rp+/Qm3P27NnDtwgBRIekcOP0k5gxY8bBgwc7Ojp6enpqa2sLCwvNMiUjI0MKl5aWlli315JnaZWUlCRVzquvvnro0KHon1Pr7u7OzMyUZmzbti3klUhxJosb3ZHBr6urc7CFiAI96dhF/bS6ZMqcvnDhwsaNG9MGbN68mftgAYgEqQPKy8uNc0/ybrNr1y7fIy5SbFVVVZlfvhOTJk1asGDB8ePHY9Jmv3xLq9OnT8e2SU1NTUZjWltbQ1i8ubnZHHPpTiCX5MNt9KRjNf1UE1EA4aipqTG+WCdFwNq1awe9BbkUClLEmN/FGz16dMxvJt7b2yv1n9tKK9OGDRuGDdxVIahDaD09PbKgUfVmZ2dLoRaxBiKy9KRjNf1UE1EAIZCqqLm5ee7cuUadlJ+fH9RZv76+vhkzZhjLSrEVw/T/wgsvjBw50rgVu9tKK4PUVcZYBf67gQ0NDca5RelRRUUFXxgc0vSkYzX9VBNRAEGR2mjdunXmmT5J5KHdc1zW89prr5l3DaipqXG8qTa6urp27dplFohi0aJFbiutTFLLJg3wW4nKSEq9KwVuY2PjkiVLJkyYYPQoLy8vtBOLcBU96VhNP9VEFEAgJIVXV1cXFxenpaWZRUl5eXmY91+Q4qCiosJY2/r16yP9HcPe3t66urply5YZ585EamrqlClTbrnlFpcf5tm6datxlfqqVatKS0ulC/n5+VlZWcbv6nhJTk72eyUchiI96Tie+2l11TwAnaR4qq+vl7rHvPOCeX369OnTn3jiCac2tH//fuP6p4KCgkGv4gqWUQI2NTWtXbvWLEekwFq+fHlMvhsYGqmWzENTvqTSys3Nvfrqq9PT06W62rdvX6zbC8foScdq+qkmogD6//I006OPPnrjjTfm5eWZh3mGDXw9sLi4uLq6OkLXpMumjSvfpVY4efKkI+vs7OwsKSlJSEgwb8JunDjbvXu342VcFDzyyCPDBn5YeufOnVL4SskosfD9YuAQvacrrOhJx2r6qSaigB5SRb3yyitLly6V+mnQ00zGYR55wtatW5ubm6NwvknqIal+hg3cvlwKiEAWkfLCvHCqt7e3tbW1tra2rKyssLDQ61eWpZuVlZWuvcoqEBICGRanqk8MFXrSsZp+qokoEPf8Xj5ldZrpqquuSk5Oln9vuumm6B8LkSLJuH25kMJO6iffws482PZv//ZvxonFBQsW5OTkeB5vM4+6zZo1a+LEiQ888ECUOwI4RU86VtNPNREF4kxHR0e/9eVTxmm4hISEJ554wuo0U1tbW11dXQwvTtq+fbtRLUk7x44du2rVqkEPthmkzJI6sqqqqqGhwRgHYKjTk47V9FNNRB3EXZIRc1//+tflxXvJJZfYXD7V2toa83t7DurIkSMjRoywP9hWUFAwf/78K6+8cseOHS0tLUPlcnUgKHrSsZp+qomoU6699trExMR//ud/jnVDoJSUTSUlJcYNM4dF/fKpSGhsbJw5c6ZUUbW1tTbXdAPxTU86VtNPNRF1RGdnp5HY0tLS+AoPoqyhoUGqEKOukip/0qRJ999/P/shEB/0pGM1/VQT0fBJdWX+6Mewgd8MIbchCnp7e2tra82f8pXivry8XPbGWLcLgJP0pGM1/VQT0TCZ1ZX8bWpqMq4gpsZCRHV3d1dVVZm/l5yZmblr1y7OnQFxSU86jud+el1GGuvmDAGe1ZVx5KCtrY0aC3719vY2NzeHs4a+vr5vfetbs2fPNm+bmZubu3///iF6iRWAQOhJx2r6qSaiIfOtrgzUWPAle8hll10me8WNN94Y1D3EpXiSsqyqqqqoqGjkyJHm5x/5t7GxMXINBuASetKxmn6qiWhorKorAzWWQj0DjGn7W4oPG7gZ1bJly8rLy+vq6k6ePOl1CMqzqPK67VNiYmJCQsL27dtj0UUAMaAnHavpp5qIhsC+ujJQY6ki4U5NTR0xYsQNN9xgdUvxL3/5y1/60pfkr++tMlNSUnJzc2+99dYrrrgiOzvb6wnykBRq9fX13d3dsi+5/xZWABykJx2r6aeaiAYrkOrKQI01qK6urji4fqihoUFqIK+ayf6W4qdPn5aCaevWrcuXL/e607pvURWTTgFwCT3pWE0/1UQ0KIFXVwZqLBtSfCQmJl5++eVDtMaS6nD79u1ZWVnmybsrrrjiqaeeCuGW4rJvNDc333XXXUlJSZmZmUFdpAUgvulJx2r6qSaigQu2ujJQY/nyuuf4gQMHYt2i4EgJVVpaavzM8LCBn22RSsuRqojjVQC86EnHavqpJqKB6O3tffTRR406KajqymDWWLLsT3/60wg1ckjwuue4ebHRhg0b3F99Gjf2nDt3rnkib9myZdKjWLcLQDzTk47V9FNNRAOxadMmI6FOmjQptDtlS41l3rto9uzZ27ZtO336tOPtdC2re4739fVt377dOBSUlZXV1NQU65b6Ie18+umnZ82alZqaarQ/IyND2s/F5gCiQE86jud+el1mG+vmuIJUAFu3bk1MTDTG5MiRIyGvatWqVb4XMsd9pRXIPcel+szLy3PJoSz7OyzMmTNHHgr2EisACJmedKymn2oiaqOzs1NSrAxFUlLS+vXrf/WrX4WzNqkqampqjh8/Xl9fv3LlSs+v4ntWWkP0im9fO3fuvOKKK0aNGmX20eae4zE8lNXe3v61r31t6tSpS5YssbrDgtSFMjFt2rSotQoADHrSsZp+qomolcbGRuO4i/yNxC2ze3t7fSstqTC+8IUvSBHm+Oaipqura9euXZ4XKgV+z/EQDmXJMEo1Zn9IyfNRKacaGhqkmCstLZVG+t6SapjFHRZ8bwcKAFGgJx2r6aeaiPoyTgsaRzIKCwtDu+gqcGalZX4rbebMmUMul0sv6urqli1bZh4BMibuvvvuoNYT4KEsCYpUPPLoX/3VX8kzL7vssq0W1q5dK1VUenr6nDlz/JZTUkDLo8nJyffcc08Id1gAgIjSk47V9FNNRL14nhaU9BzNQqe7u3vBggVGXVJRURG17YZJqhyjiDHrquXLlx86dEgqlZAvA/c8lDV16lQpfUpLSyUuubm5xtm6kEk5VVRUVFZWVl1d3dzcbF4NRl0FwJ30pGM1/VQTUU+RPi0YCKlXjBqrpqYmJg0I0MGDB1etWuVZ7khJtHv3bqdukiml7bp166zqpIyMjBkzZhQUFCxdunTevHnr16+3OoL1d3/3d1lZWXPnzj127Bh3mQIw5OhJx2r66ZqIRuc7ZVE+LWhPSivjUJBrb1twyy23mLWOlC+VlZWR+C6k1ENS6V500UVr1qypra09cuRIS0sLN0cAoIp70nGkqemnOyJ66623Dgv+Op6gSGn1H//xH8YtmqJ/WtBKRUXFsIHvr7W1tcW6Lf+flFZlZWXmtWLiu9/9bkS3KLFw/w1IASByXJKOo0BNP2MaUd9voo0fP37lypW1tbVOHVtqb2+vrq4uLi6WIsbYRGJiYqxOC/qSwmL58uXDBm7+7oZfpvMsraQMXb16tQTo0KFDbihGASCOUWDFm5hE1PebaKNGjbrkkku8bvaYk5NTXl5+5MiREH5St76+fv369dnZ2Z4rNO7VNGHCBFeVC9La3NxcaVhBQUEMG+ZVWpWWlsb3nVEBwFUosOKB13XE0dy0zTfRjCe0tbXt2rWrqKjI665RixYtkmfKslbXOIsFCxZIRfXXf/3XnveQTEtLKy4urq6ubm9vlxpCVu7CukEaZlx0L2VNNLcr9dzRo0fPnDlDaQUAsUWBFW+iEFEpnq6//vpp06ZNmDDBrHsG/SaacWPJiooKzxOIAZIqIT8/X0qu5uZmVx2sstHS0mLUlFVVVZHelnlzqWuuuUa2OHz4cEorAIgtCqx4E9GItra2VlZWetZVoX0TTeqwO+64w1hDWVmZ38NXstpLL71UqgSZGKKXS9fX1xt9lInw1yaV5dKlSydOnLh69epBby61atUqSisAiCEKrHgTiYgadZXn9U+JiYkjR4587rnnQl5nb2/v/v37m5ub7Z82REsrU1VVlQzXmDFjWlpaQlhciioZIllJUVGR+eOAvsybS918883z5s07cOCA4x0BAASFAiveOBJRqaikAPKtqySRr127trGxsW9A+BvSoLS0dNjAtykD/B6lZ1Hl9RMxqampo0ePvvPOO7m5FAC4HAVWtF24cGHTpk1paWnp6ekVFRXyr+9zvI5PBLV+++dLjt++fftNN90kbbC6tLygoEBWkpyc7LeuCq63GCiYjCFNSEhYtGiR1bDLzpCfn5+Tk+NVVOXm5paVldXX13M3cwAYQiiwoq26unrOnDnvDpCJvXv3+j4nnKjIsuZRDeMoVG1trWTowsJCr5smDOriiy+mrnJEV1eX5xchB0VRBQBDHQVWtM2fP//w4cPGtEwsXLjQ9zlhFlgJCQk33HBDTk6Ob1JPS0szDk195StfsfkNuLlz5z788MPUVQ567LHHJkyYcNttt1kNuzwkcbnooovefPPNWDcWABAuCqxoS01NNe9lcPbsWal4fJ9jnJUbNWqUFElPPvnkZ599Fvj6vSoqWUNxcXFVVVVDQ0NHR0f/wFlCmaZ4cqG2tjY33PwdABA+CqxoS0hIOH/+vDEtE4mJiVbP/OSTT1paWhYuXFhWVub1kP0JphUrVtTU1Miywd4wHQAAOIICK9oCOYLl6b333hv0OZ70RBQAANfSk47d0s9ArsHy1NHRMW7cuMDXryeiAAC4lp507JZ+7tmzx+pbhGYwSkpKTp48+emnn546daqwsPDee+8NfP16IgoAgGvpScdu6eeFCxc2btyYNmDz5s2e98Eyg3Hw4MHZs2ePGDFi2rRpW7ZsCepSKj0RBQDAtfSkYzX9VBNRAABcS086VtNPNREFAMC19KRjNf1UE1EAAFxLTzpW008AAOACsa4IokRLPyMtOntM1PbLeOoOW9G8lahtiK2wlbjZkJ4CKNIYR2fE2X4fT91hK5q3ErUNsRW2EjcbosByCuPojDjb7+OpO2xF81aitiG2wlbiZkMUWE5hHJ0RZ/t9PHWHrWjeStQ2xFbYStxsiALLKYzjUMJ+71qExrUIjTsRF9ciNE5hHIcS9nvXIjSuRWjcibi4FqFxCuM4lLDfuxahcS1C407ExbUIjVMYx6GE/d61CI1rERp3Ii6uRWicwjgOJez3rkVoXIvQuBNxcS1C4xTGEQAAwGEUWAAAAA6jwAIAAHAYBRYAAIDDKLAAAAAcRoEFAADgMAosAAAAh1FgxcyFCxc2bdqUlpaWnp5eUVEh/xrzh/2l1NTUwJe1mo+gWA3jO++8s2zZsrQBMiH/Br4soXGE1TB2d3evXr364osvzsjIePjhh4NaltA4wnzL8pwZyNgSl0jzGxqb+SZCEyYKrJiprq6eM2fOuwNkYu/evb7P2blzZ3l5eeDLBrJODMpqGOfPn79ly5buAffff7/8G/iyhMYRVsNYWlpaUlLywYDbb7/9ueeeC3xZQuMgr2wdyNgSl+iwKqRsCixCEyYKrJiR9Hz48GFjWiYWLlzo9YRPP/106tSp77//vjnHfCVYLTvoOhEIq2EcNWrUuXPnjOk//OEP8q+5CKGJDqthHDt27IcffmhMS42Vn59vLkJooskrW9uMLXGJssALLELjFAqsmElNTe3q6jKmz549m5aW5vUE+Vhw5513es4x93urZQddJwJhNYzFxcUPPfTQxx9/3N3dXVlZKf+aixCa6LAaRimw5F9jWiotz+ElNNHkla1txpa4RFkIBRahCRMFVswkJCScP3/emJaJxMREz0c///zzyy+//NSpU0Eta79OBMhqGN9///0pU6YYVy3IxG9/+9vAlyU0jrAaxlWrVq1YseLDAXfccUdSUlLgyxIaB3ll60DGlrhERwinCAlNmCiwYsb+Q0BdXd1NN90U7LJ8sHCE1TAWFhbef//95jVY8m/gyxIaR1gN4+9+9zupq9LT08eNG/fYY4+NHz8+8GUJjYMCP4I16HOIi7NCKLAITZgosGLG/jR2bm7usWPHgl2WU+OOsBrGkSNHWl2DNeiyhMYRgQzj008/LcVW4MsSGgcFfg3WoM8hLs4KocAiNGGiwIqZPXv2WH0R46WXXlqwYIHvIuYrwWpZm3UicFbDKG8rlZWVxhGsBx54wO8Vu4QmoqyGccWKFR0dHRKXAwcOTJo06de//rW5CKGJJq9sbTO2xCXKQrgGi9CEiQIrZi5cuLBx40bjpkqbN2/2vJVIfn5+fX297yLmfm+1rM06ETirYXzrrbeKior+z4Abbrjh7bffNhchNNFhNYz79u2bOHHiqFGjFi9efOLECc9FCE10eN3Az5hpM7bEJWr8hsZ+vjFBaMJEgQUAAOAwCiwAAACHUWABAAA4jAILAADAYRRYMfPyyy8vWrQoJSVlwoQJa9as+eijj4z5wf6+ptV6vITzK7kGv78MGshPUwMAoA0FVswsXrz48OHDPT09H3744bp165YuXWrMD/b3Na3W4yWcX8n1ZHPTFKufpgYAQBsKLFc4d+7c6NGjjelw7u3muR4vIfxKrl9WBZbvT1MDAKAWBZYr1NfXFxQUGNPh/DqB53q8hPAruX5ZFVi+P00NAIBaFFixd+LEialTp7755pvGvyH/vqbXeryE8yu5nvwWWPY/TQ0AgDYUWDHW1NQ0efLk48ePm3NCO4Llux6va9KD/ZVcv5e091sUWPY/TQ0AgDYUWLEkdcnEiRNff/11z5khXIPldz1ewvmVXE9+Cyz7n6YGAEAbCqyY2bFjx+TJk9va2rzmB/v7mlbrCXC1Nr+S65dvgWX109QAAKhFgRUzw3z09PT0B//7mlbr8RLCr+TaN9icb/XT1AAAqEWBBQAA4DAKLAAAAIdRYAEAADiMAgsAAMBhFFgAAAAOo8ACAABwGAUWAACAwyiwAAAAHEaBBQAA4DAKLAAAAIdRYAEAADiMAgsAAMBhFFgAAAAO+7+1qjNw/7Rt7gAAAABJRU5ErkJggg==)
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