Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit323-06-20020802_012900_20020802_061300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/02 |
Start Time | | 2002/08/02 01:29 |
End Time | | 2002/08/02 06:11 |
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 | | -8.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.86 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit323-06-20020802_012900_20020802_061300-constBx0 |
Minimum Dst Value | | -102 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAyMTo1OTowNiBFU1QgMjAxOT9NaYMAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMjMtMDctMjAwMjA4MDJfMDYxNDAwXzIwMDIwODAyXzEwNTgwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wOC0wMlQwNjoxNDowMC4wMDBaIiwgIm1heCI6IjIwMDItMDgtMDJUMTA6NTY6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjAxODcxMTU0OTUsICJtYXgiOjEuNzIzNjk5NDUwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfeZm+YkAAAAEZ0FNQQAAr8g3BYrpAAAgLklEQVR4nO3dfXAV1fnAceRFQmjzu4HUCPIW01jpIFVGO2CiAgaEKorWsREqvlBLW2WkLZBgApa2atspjDiVYCl2nGnlxY4yWmKnY6WdUiuDZWxTg1IQMNgIQXlTE2JIfs9kZ3a2e+/u3Zuc3Jzc5/v5g9m72T1nn/Ps7nP25pLbpx0AAABG9enpAwAAAMg0TLAAAAAMY4IFAABgGBMsAAAAw5hgAQAAGMYECwAAwDAmWAAAAIYxwQIAADCMCRYAAIBhTLAAAAAMY4IFAABgGBMsAAAAw5hgAQAAGMYECwAAwDAmWAAAAIYxwQIAADCMCRYAAIBhTLAAAAAMY4IFAABgGBMsAAAAw5hgAQAAGMYECwAAwDAmWAAAAIYxwQIAADCMCRYAAIBhTLAAAAAMY4IFAABgGBMsAAAAw5hgAQAAGMYECwAAwLDMnGD16ZOZcQFAt+qOm+err75aVFSUtOXu6LqnagE1CO3aJlic9AAQojtukiUlJc8991yPdM0Ey6CMDKpbZeZ4pfqotG3btquvvnrgwIHDhg27884733//fWf9Sy+9NHXq1KysLFk/f/78Y8eOhW/v09bWtnTp0lgslpubW1FRIS/d3r1ycnIS7h7Ue1CzQetTbWf//v033HBDrIMsyMvOtZ/SmIg33nhj+vTpgwcPHj58+IYNG7zJcsS31tjYOHLkSO+PUh0cPSMfNJIRz1J3+1QPMqWR7w6+eN2IzjnnnPz8/LKysvr6+pDdO3H8DQ0N3/nOd8aMGTNgwADZa8aMGXLHSHgwvpWy8MUvftHbhSyPHTvWu4H7oz179txyyy1Dhgw599xzL7/88meffdZZf+LECTnOoqKiQYMGSe833XTTyy+/nPSY4w+m0xvEk1tcc3Nz17vuhO6eEwRloXP9mjrakHum2Y4iHkza+rJNZkae6j1iypQp8oB1/PjxU6dOrVy5UoqWs37atGk1NTWnT58+cuTIggULrr/++vDtfdatWzdhwoR3OsjC+vXr47dZvXr14sWLE+4e1HtQs0HrU21n0qRJlZWVxzssW7ZMXnau/ZTG5O2335ap0m9+85sPP/zw0KFDt99+u2/HhDmVMvbII494f5Tq4OgZ+aCRDGo86CJK9SBTGvnuED/BchbOnj373nvvff/73y8pKQnZPdXjP3z48OjRo6XZurq6Tz75RGa9L7744nXXXZfwYHwrZUGK9AsvvOD+6Pnnn5c18ROsvXv3yuzw5z//uVwsMnd57bXXvvrVrzo/kr7uvfde2eDMmTNHjx7dvHnzNddcE37MCQ+m0xt0epdeN8EKyULPTrCStsYEKz16WeRyEj/wwAP5HWTBfSqSFMpMZcSIEfJU6rz86U9/et5558mDxX333Sc3Gnez9v99NI/vQspVdnZ2/HqZSw0ePDj69u0dpUjqn7MsC8XFxb4N5MAKCgrkjpw0cG/vQc0m7S5iOxKObOYsnzx50o0u1fYTCmpEZlS/+MUvQnaMT5YUsMLCwqamJu+PujI4CWXMyLt8IxnUeNBtMdWDjDjyn3766fLly0eNGhWLxaRiOStDrvfq6mqZx2RlZU2cOLG2ttZZ//LLL1922WWyUn7kzITiL3ZfXCdOnBg0aJAsfOtb33rqqafc9Rs2bJA14cefcIjuuecemXcmjDFoF++xbdmyxduFRPfss8/GH/ycOXN+/OMfJ+xCwpGggg7A22nITbI9YPDDb56p7hJ/306Y1qDTwEue0GRyI7Hk5OTcfPPNjY2NUcIJ71ROAGlQtpeBShhvSBaCzjf3ZZRzVZ4BfvSjH40ZMyY3N/fuu+/+6KOPEo5bkKBLOOFF4W0w6WAGHVj8VRzfV5QiftVVV23cuNE9YJm/Dhs2LMpZbZteNsGS5JWWltZ3mDJlyooVK5z1kpubbrpJnkfdl7LZ4Q6y8IMf/MBd71vwkRPl0UcfTfhOwNatWydPnhx9+/aON8bdU1MeJeWc820g15WcneEhx/ce1GzS7iK2c+utt8rAytl8/Pjxqqoqedm59hMKakQuNkmuXEVyVc+bN0+69u0Yn7KvfOUrv/3tb30/6srgJJQxI+/yjWRQ47JZXl6ezJ/GjRu3Zs2a1tbWzh1kxJGXQiXHv2/fvg8//HDRokXOypDrffbs2QcOHJALcOXKle6MRM6f3/3ud3LLljvy/PnzE8brLRINDQ3l5eXOGzwyw7j66qs3b94sy5s2bZLllpaW8ONPeBuRY5D6lDDGoF289yU5qqKior/97W/ycvv27bIsa+JvXHK9uL+c9Zk5c+Ztt922Y8eOTz75JOgw2iPcJEMGP6jNVHeJv28nTGtQs17jx49/5ZVXJGQ5M++///5vfOMb0cNJ2Kmc2zKS73WYPn16whBCspB0ghXlXF21atW11177zjvvyEXx9a9//Xvf+17CcQsSkqn4o/I2mHQwgw4s4VXs6ytKEf/DH/4wduxYOfOdH8n4/OQnPwkP1k69bIJ14YUXvvnmm86yPGoUFhY6y5KbgwcPupvJS3ezf//7397NfAtezixbHun+85//+H60e/fugoIC330zZHtH3759nXu0kIV+/fp5fypnz0UXXVRXV5ck5rjeg5oN7y56O87vOJzoZMG96lJtP6GgRmRBLtQjHcrKyu666y7fjr6U/fGPf/zyl7/sfFrF+6NOD05CmTTyLt9IhjcuBWDXrl1SddzbZaoHGXHkP//5z7tvHrhCrneZGznLH3/8sfMWlBg5cuTjjz/+7rvvhsTb53/JI7jcIpwfvf/++zKMFRUV8q/7wcpUz5z+/ft7ZzbxbxXE7+L76ZNPPnnjjTe2d/yy75e//GX8Bk4vTU1NCQ/g5MmTUsO+9KUvZWVlyQAuXrw44aN/0ptkyOAHxZ7qLvH37YRpDWo2iIzAiBEjoocT1OmePXucZdkxYQghWUg6wYpyrl588cVvvfWWsywnpFxu7mbecQuS0gQrqMGEgxl0YAmvYl9fEYv4FVdc4Tw/7927Vw5AUhMUi8162QRLbhnuCS0L8tJZltx4PxkqL4M28y34yMn00EMPXXXVVd6V8hw5atSonTt3Jt3edzMNf3aXp+RZs2Z51/h2D+q9c28VRG9HHi+WLVvmfshGXnau/YRCDl5eOssyx8rLy/Pt6BuWSy655K9//Wv8jwy+g5VhI++K+A6Wlzxkd/ogQ94h857t3kvbFXK9J4zoH//4x+zZs4cOHVpUVOT+Xi9oY+d4KisrvZ+hlOdp2cD9HWXE8fE6//zz42e6bqcDBgzw/YZL4pI5nHcz2WDYsGHPPPOM/Ov+ls3XTsh7Jy65JcrM6c4770z4FnvSm2TEwfdKdZf4+7bvp+HNesljgORRpsvOSeXOg1MNx7u9mynf5xBcXXkHK8q5KrM978OA9zzxjVt84YhvLeRHvgaTDmbQgSW8in19RSziW7du/cIXvtDa2nr77bfLTDQoEMv1sglWxCck78OZLMRvFvKra5kzeT/LItOg4cOHv/766xG39wr/9Mmll166Y8eOoGZDeu/Eh11SakcunlQ/CZR0lJJ2WlJSIvMqZ1keiZJOsPrE6fTgJJR5I+/yjWSUkamvr5da0rmDjDjyUmZSegcrJCK5Tf/+97+XiY7z0nex+zaWWNw3Ld544w15Vn7uuecuuOAC923pVM8cmdBUVFT4Vrqdjh079rXXXvP+6O9///uYMWN8mz366KP9+/d3fy0SX63nzJnzyCOPhB+JQ+bBn/3sZ+PXJ71JBg1+yM2zE+9gRXkZ5R0sWfn0009/8MEHUpLl3/gRS/VcivIOVkgWvBM1992XhoaGlM5VmWEcOHAgpPFwIZuFXxRJBzPowBJexb6+IiZCRkaeopcsWSJXh/sBwV6nl02w5HHT/fWtTLGrqqqc9fEXyfTp052PF8hC/EcBPve5z3l/N3fHHXfIy5aWlnfffff+++93H/hWrVo1atQo9zJLur1PdXV10P8/2rZt25VXXhkebFDvQc0GrU+1HakoMrDOWxQPPvigW1FSbT+lMdmwYcPcuXPdXxHGfzQt4tNYqoOTUEaOfMLhCmlcsiC3P7m1yakuF93ChQs7d5ARR/7hhx+ePHny/v37vZ/eiH69u8cs9245ZilaMu90Vvoudu++x44dW758+cSJE9s7Pk8pN/S//OUvsvzCCy9cdtllzm/6Qo4/4Tl58OBB6dr9X4QSzosvvuhu+cQTT0gvf/7zn0922L59+7hx4372s5+FNNieaIK1d+9eqcqrV6+WkWlubt65c6f7/9euueaazZs3y1OK3KDkmBcsWDBz5syEbYbfJIMG3zeeXhHzFTSAQS+DmvWS0Xj++edlKOQUkqGIH7FUzyXZ3v0M1nXXXZcwhJAsuNvLBbJy5Uo5uyQXN954Y0rn6mOPPSbHLGtks3/9619f+9rXwsfTJ2SzkIuiPcJgBh1YwqvY11f0k0SeHmXlr371q4hBWag3HWt7xzuKcqN3/gOCLLjvNMZfJM5/kMnNzf32t7/t/X8KzoJUplgs5r7csmXL+PHjzz333JEjR8r9SObs7vY+p0+fDtneR+bgMgF3/mJQeXm59/3PkpKSrVu3hgcb1HtQs0HrU21H7hozZsz4vw5yi9m3b1/n2k91TOQWn5eXJymT+av3Q+6+xhMOVNL2Q/pVMvJBIxnUuHOSDxw4UB4x5Z7oXmupHmTEkZfZgEzXRowYISeAVCxnZfTr3VnYuHGjPFtnZWXJ9OiVV15xVvoudu8IDBkyRGqeE8K8efOcDzw55BicWX7I8Sc8G9s7fqN6zz33SNXs37//0KFDb7755ldffdUdjV//+teXX365M4Cy8PTTTydtsE9chWvv+F+00rIcldyIrrjiCvcvMP3pT3+S9TKMMg4FBQX33XdfwhtUn2Q3yaDB942nV8R8BcUb9DKoWS95ZJXUDxgwQB45Hn/88fgRS/Vckg2++c1vyuDIEP3whz+UlhOGEJQFtx15SpEZvPO/BdeuXZvSuXr27FmJ5eKLL5bLUOblbskIGk9vFOH3zPiLIqXBDDqwhFexr6/oJ4kMZlFR0aeffuoLLTx2q/SmYwUAGNG7ClXP+uc//ylT1Z4+ih7W2toqDwzp7HHWrFnPPPNMOns0jmsMANRhgpXUokWLGhoaDh48eO211373u9/t6cPpYbt27XL/t2B3O3v27JNPPnnJJZe4f6mhl+IaQ7eI/+2VhTf0XnGQqcrIoGAcZ0VSjz322IgRI84777x77723l/6ZAIM+85nPrF27Nj19yck5ZswYmdKlp7vuwzUGAABgGBMsAAAAw5hgAQAAGMYECwAAwDAmWAAAAIYxwQIAADBMywQr4f9dBwAAadbTM4I0UROnmowCAGAtPeVYTZxqMgoAgLX0lONMjlPne5IAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSU40yOk6/KAQDAKnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxxbFGfSv6fQlT+7oCejAABYS085ti7O8AlWdzQLAADSQ085ti5OJlgAAGQqPeXYujjDJ1h5eXnZ2dnjxo1bs2ZNa2urkWYBAEB66CnH1sWZdOibm5t37dpVXFy8aNGi+H1DdNshAwCASPSUY+vijDj0hw4disVixpsFAADdR085ti7OiENfX1+fn59vvFkAANB99JRj6+KMH3p3TVlZWW1t7ZkzZ+rq6kpLSxcuXNiVZgEAQJrpKccWxRn0kSl3ecuWLePHjx84cGBhYWFlZWVTU1NKjRs+XAAAkCI95VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSU40yOk7/kDgCAVfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTznO5Dj5qhwAAKyipxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKcSbHyVflAABgFT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lWE2cajIKAIC19JTjTI6Tv+QOAIBV9JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPObYozqR/T6GtrW3p0qWxWCw3N7eiokJeptS4iWMEAACdp6ccWxdnyNCvW7duwoQJ73SQhfXr1xtpFgAApIeecmxdnCFDP2nSpJqaGmdZFoqLi400CwAA0kNPObYuzpChz8nJaWxsdJaPHj0ai8WMNAsAANJDTzm2Ls6Qoe/bt29LS4uzLAv9+vWL3zdENx40AACIQE85ti5O3sECACBT6SnH1sXJZ7AAAMhUesqxdXHGD727prq6mv9FCABA76WnHFsUZ9BHptzltra2JUuWxDqUl5fzd7AAAOhd9JRj83E2NTVVVVUVFhZmZWXJvytWrGhubjbeS6r0ZBQAAGvpKcfm41y4cOHUqVNra2tlpiX/Tpky5YEHHjDeS6r0ZBQAAGvpKcfm48zPz6+vr3dfyrKsMd5LqvRkFAAAa+kpx0ywAABAmugpx93yK8LS0tI333yzqalJ/pVlfkUIAADaNZXjbvmQe2Vl5YUXXpiVlSX/Ll++nA+5AwCAdk3lOJPj5KtyAACwip5yrCZONRkFAMBaesqx+Thra2uLi4sHDRpk1btHNhwDAADK6SnH5uOcOHHiypUrP/74Y+Mtd4WejAIAYC095dh8nFlZWR999JHxZrtIT0YBALCWnnJsPs7Ro0cfOHDAeLNdpCejAABYS085Nh/n2rVrZ8+e3dDQYLzlrtCTUQAArKWnHJuJs08yRnrp4hH29CEAAKCdnnKsJk41GQUAwFp6yrH5OM855xzjbXadnowCAGAtPeXYfJwXXHDBf//7X+PNdpGejAIAYC095dh8nKtXr77lllsOHjzY1tZmvPGU2PY5MAAAlNNTjs3HyYfcAQBAQnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKcSbHadsfOwUAQDk95VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOOMzlOvioHAACr6CnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecmxLnG1tbUuXLo3FYrm5uRUVFfIyfpuu/NkFPRkFAMBaesqxLXGuW7duwoQJ73SQhfXr18dv05Ws6MkoAADW0lOObYlz0qRJNTU1zrIsFBcXx2/DBAsAgF5NTzm2Jc6cnJzGxkZn+ejRo7FYLH4byUpeXl52dva4cePWrFnT2toavX09GQUAwFp6yrEtcfbt27elpcVZloV+/foFbdnc3Lxr167i4uJFixb5ftQnVDcePQAAiEBPObYlzijvYHkdOnQo6TZeejIKAIC19JRjW+KM8hksr/r6+vz8/Ojt68koAADW0lOObYmzuro66H8RuskoKyurra09c+ZMXV1daWnpwoULo7evJ6MAAFhLTzm2Jc62trYlS5bEOpSXl3v/DpabjC1btowfP37gwIGFhYWVlZVNTU3R29eTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaespxJsfJV+UAAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lONMjpO/5A4AgFX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085zuQ4+aocAACsoqccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6ynEmx8lX5QAAYBU95VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnAAAwAI9PSNIEy1xutKT2kzqJW0d0Yu1HdGLtR3Ri7Ud0QvUjVomnY7cj5T3kraO6MXajujF2o7oBepGLZNOR+5HyntJW0f0Ym1H9GJtR/QCdaOWSacj9yPlvaStI3qxtiN6sbYjegGjhuS4uqxFaqxFaqxFapAenGdIjvuRtUiNtUiNtUgN0oPzDMlxP7IWqbEWqbEWqUF6cJ4hOe5H1iI11iI11iI1SA/OMyTH/chapMZapMZapAbpwXkGAABgGBMsAAAAw5hgAQAAGMYECwAAwDAmWAAAAIYxwQIAADCMCRYAAIBhTLDUaWtrW7p0aSwWy83NraiokJfO+j7/KycnJ/q+QeuRkqBh3L9//w033BDrIAvyMvq+pMaIoGE8fvz4vHnzhgwZkpeX99BDD6W0L6kxxb1reVdGGV5Sg27FBEuddevWTZgw4Z0OsrB+/fr4bVavXr148eLo+0ZpE0kFDeOkSZMqKyuPd1i2bJm8jL4vqTEiaBjvuuuusrKy9zvcdtttTz31VPR9SY1ZvglWlOElNehWTLDUkfJcU1PjLMtCcXGxb4MzZ84UFBQcPnzYXePeuYL2Tdomoggaxuzs7FOnTjnLJ0+elJfuLqQmPYKGcejQoUeOHHGWZY5VUlLi7kJq0sw3wQoZXlKD9GCCpU5OTk5jY6OzfPTo0Vgs5ttAHtfuvvtu7xr3fhS0b9I2EUXQMN56660rVqw4ceLE8ePHq6qq5KW7C6lJj6BhlAmWvHSWZablHV5Sk2a+CVbI8JIapAcTLHX69u3b0tLiLMtCv379vD89e/bsRRddVFdXl9K+4W0ioqBhPHz48OjRo51PmcjCe++9F31fUmNE0DDecccdc+fOPdJhzpw5/fv3j74vqTHLN8GKMrykBt2KCZY64Q9nmzZtmjVrVqr78sBnRNAwlpaWLlu2zP0MlryMvi+pMSJoGD/44AOZV+Xm5ubn5z/88MPnn39+9H1JjVnR38FKug2pgRFMsNQJ/3jBpZdeumPHjlT35SMLRgQN46BBg4I+g5V0X1JjRJRhfOKJJ2SyFX1fUmNW9M9gJd2G1MAIJljqVFdXB/0HmW3btl155ZXxu7h3rqB9Q9pEdEHDKLf7qqoq5x2sBx98MOHHdUlNtwoaxrlz59bX10teNm7cOHLkyLfeesvdhdSkmW+CFTK8pAbpwQRLnba2tiVLljh/VKm8vNz7J15KSkq2bt0av4t7PwraN6RNRBc0jHv37p0xY8b/dZg5c+a+ffvcXUhNegQN44YNG4YPH56dnT1t2rTdu3d7dyE1aeP7G37OypDhJTVIDyZYAAAAhjHBAgAAMIwJFgAAgGFMsAAAAAxjgqXOSy+9NHXq1KysrGHDhs2fP//YsWPO+lS/9zSoHZ+ufIFx13sHAKBHMMFSZ9q0aTU1NadPnz5y5MiCBQuuv/56Z32q33sa1I5PV77AuOu9AwDQI5hgqXbq1KnBgwc7y135m3vednw68QXGUXaP2DsAAD2CCZZqW7dunTx5srPclW+N8Lbj04kvMI6ye8TeAQDoEUyw9Nq9e3dBQcHbb7/tvOz095762vHpyhcYd713AAB6BBMspbZv3z5q1KidO3e6azr3DlZ8O76/p5zqFxhH3D2odwAAbMAES6NNmzYNHz789ddf967sxGewErbj05UvMO567wAA9AgmWOqsWrVq1KhRe/bs8a1P9XtPg9qJ2GzIFxhH2T1i7wAA9AgmWOr0iXP69On21L/3NKgdn058gXGU3SP2DgBAj2CCBQAAYBgTLAAAAMOYYAEAABjGBAsAAMAwJlgAAACGMcECAAAwjAkWAACAYUywAAAADGOCBQAAYBgTLAAAAMOYYAEAABjGBAsAAMAwJlgAAACGMcECAAAwjAkWAACAYUywAAAADGOCBQAAYBgTLAAAAMOYYAEAABjGBAsAAMAwJlgAAACGMcECAAAwjAkWAACAYUywAAAADGOCBQAAYBgTLAAAAMP+H6VACICANUMjAAAAAElFTkSuQmCC)
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