Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit311-07-20020704_170600_20020704_215100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/04 |
Start Time | | 2002/07/04 17:06 |
End Time | | 2002/07/04 21:49 |
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 | | -30.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.65 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 151.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit311-07-20020704_170600_20020704_215100-constBx0 |
Minimum Dst Value | | 8 |
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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIE1hciAyMiAwMTozMTowNSBFRFQgMjAxORF15YIAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTEtMDgtMjAwMjA3MDRfMjE1MjAwXzIwMDIwNzA1XzAyMzcwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtOSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNy0wNFQyMTo1MjowMC4wMDBaIiwgIm1heCI6IjIwMDItMDctMDVUMDI6MzU6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjo1LjM1NDQ3OTk5OTUsICJtYXgiOjExLjc4MTEyMDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3ah3MjAAAABGdBTUEAAK/INwWK6QAAIZJJREFUeJzt3XmQFOX5wHHkXJZkswsrC8gCK4FICglSmgJ2QUBAiKJoLIKsXBJDEqEkCadcIYmSpAKlVhQMwZRViRymcEsDplKJJBVipDAUkbgcihyLYblcLuUQdn9PTdevqzMz3dM92zO+08/38wfV0zt9PO/T3c8z3bNskwYAAACEqslnvQMAAABRQ4MFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGLfoPVpEn0YwSA0GXi4vnmm2/26NEj5ZozsWlqAbIs+gec20nFyQYAHjJxkayoqNi0adNnsmmu+Wlg0Boj+mMX9KPS5s2bBw8e3KpVq44dO06ePLm2ttb5TkviGpLOd6qvr587d25hYWFRUdH8+fPlpTX/wIEDd999d2GMTMjLpIu//vrrw4YNy8vLk72aNm3aqVOnvFfrNj/oepr8r4KCAu/3W06ePFlaWppy5N12xm1I43Ym9MHJ6ZF3G5ykgu6k20kRdCcDjXwmuB1R1113XUlJyfjx42tqajwWT2P/jx079t3vfrdbt24tWrSQpUaNGiWDmXRn4mbKxJe//GXnJmS6V69ezjfYP9qzZ8/999/ftm3bli1b3nrrrS+//LI1/8yZM7KfPXr0aN26tWz93nvv/fOf/5xynxN3Ju03JJKD5NKlS43fdBoy3St45Frs3r179OjRn4uRiXfeece5Y0nPX//pq6urmzRpkhwAxcXFS5cuTfqebLZKtGWW6I9C0GvE0KFD5QOWHK/nzp1btmyZ1BufK/Te0OrVq/v16/dBjEysWbPGmj9gwICFCxfWxSxYsEBeJl18xIgRW7ZsOX/+/PHjx6dPn37XXXd5r9ZtftD1OK1cuXL27Nl+3i9XmSeffDLlyLvtjC2xHGZ0cDK68kyPfKArWtCdTHlS+NzJQCOfCW5H1LVr1z788MMf/OAHFRUVHosH3f+jR4927dpVVltdXf3JJ59Iw/raa6/deeedSXcmbqZMSKv06quv2j965ZVXZE5ig7V//37pDn/xi18cPnxYepe33nrr61//uvUj2dYjjzwib7h8+fKJEyc2bNhw++23e+9z0p1J+w1pL5JzDZZ3rt97773rr79+xYoVx2LkZJGXMtN7x/ynb8qUKfLxoDZm3LhxL7zwQuJ7aLCyL4dHQS4ljz32WEmMTNifiiS1cvh27txZPpVaL3/2s5+1b99euvtHH31UjlT7bQ3/+9EhcRNSafLz8+NmptdgSeckpcualony8nJrWtYvRcuaPnv2bOLmEsn727Rp471at/lB12OTcSsrK5OLSMr3y/Wle/fuFy9eDHSOOXfG5rPBcltPYwYnoyvPxMgHGu2gO+mU9KTwuZM+R/7TTz9dvHhxly5dCgsLpW+wZnqc76tWrZLalpeX179//927d1vz5bP+LbfcIjPlR1YnlHiyxw3amTNnWrduLRPf/va3nSVq7dq1Msd7/5OO/8MPPyyfmpLG6LaIc982btzo3IRE9/LLLyfu/IQJE37yk58k3YSEI0G57YBzox4XyQaXwfe+eAZdJPG6nTStboeB0759+6TFlFgKCgruu+++kydP+gnHe6NyAMgK5f0yUGnkurKyMu7G0pIlSx566KG4HYvjM32iXbt28qHImpYeK/FzQtKD3zngKQdNPoT8+Mc/7tatW1FR0dSpUy9cuGDNTzxbE7flp1gPGjRo3bp19g7Lp4WOHTv6DN9YOdxgSVKHDx9eEyOfsOV4teZLzu699175PGq/lLcdjZGJH/7wh/b8uIk4cgAtX7485W2VlPMtctTah6x8FpFj0Zp+4IEHZM/lMKqrq1u0aJG89I5aVFVVDRkyxHu1bvODrscmJUpOqpThiK997Wu/+93vGgKWfOfO2BIbrOLiYqnuvXv3fvrpp69evZpeUH4GJ+VOmjbyfgYn5UrcdtLmdlL43EmfIy/tgmz6/fff/+ijj2bNmmXN9Djfx44de/DgQdm3ZcuW2R2JXJ1///vfy6VcrtTTpk2z3+zckLN4HDt2bN68edYdAukwBg8evGHDBplev369TF+5csV7/5Me7bIPUreSxui2iPO6JHvVo0ePf/zjH/Jy69atMi1zEi9cUrTcvlowevTocePGbdu27ZNPPnHbjQYfF0mPwXdbZ9BFEq/bSdPqtlqnPn36vPHGGxKyXFdnzJjxzW9+0384STcqV2YZyQ9jRo4cmUauJUdyPDvnyMsOHTp4j4nP9DXEGiw5IK1p6bSSnlmJB79zwFMO2ooVK+64444PPvhAzkppDb///e9b85OerXHb8lOs//jHP/bq1UuOcOtHcs7+9Kc/9Y7afDncYN14443vvvuuNS0fNbp3725NS84OHTpkv01e2m/7z3/+43xb3IST1X3LRzr7Lq7zR0n3x7ufaNq0qXWNFjLRrFkza9q6sWxtTibsw93Nzp07y8rK7DPZbbVu84OuxyIHfc+ePaurq1OG86c//emrX/2q9cUR/w1W3M7Y3D4Z79ixQ6599skcNKiUg+NnJ00beYvH4DgF3UmL20nhfyd9jvwXv/hF++aBzeN8l97Imv7444+tW1CitLT0mWeeOXLkSFwIiRHZ5KO5XCKsH9XW1soIzJ8/X/61v3MW9Mhp3ry5szQm3kJIXCTup88///w999zTEHta9Ktf/SrxDdZWLl68mHQHzp49K7XtK1/5Sl5engzg7Nmzk94SSHmR9Bh8t9iDLpJ43U6aVrfVupER6Ny5s/9w3Da6Z88ea1oWTBqCd67lUInLkbxZFol7c9xSPtMnJk6cWFlZeTxmwoQJ9pqdEg9+54A7JR20m266ae/evda0nBFSrazppGdr3LZ8FuvbbrvN+nC+f/9+2QFJQdLdyyE53GDJMWcfsjIhL61pyZnzm6Hy0u1tcRNx5CBbunTpoEGD4ub7bLDiThW3z77S1y9YsMD+Dpa8TLq4RT7FdunSZfv27fac9G4V+F+PRT7EjxkzxjnH7f0333zz3//+d++BipO4MzaPNRw+fDjtoNK4g2X+yDslDk6coDtpS3pS+N9Jj9tvzqPdeWrbPM5359vsl//617/Gjh0rn+x79OhhP9dze7O1PwsXLnR+vUw+Z8sb7GeUHvvvpkOHDh4fG1q0aBH3hEvikh7O+TZ5Q8eOHV966SX5137KFrcejztYNrkkSuc0efLkxLuPDT4ukj4H3ynoIonX7bifeq/WST5jSB6lXbYOKrsPDhqO8/12pty+/OCda/lYksYdLFti+uJOmdOnT0tfJSHLwfDEE0/Ya066M/ZL54CnHDRpN50toH2gJj1b47bls1hXVVV96Utfunr16oMPPiifjrzHJCfkcIPl8xOS88OZTCS+zXoCnZSUk5RfDEo53+L27Q05an1+B0vKWKdOnd5++20/q/X4skig9Vj69u27bds2P+93+ygWKCibx+I1NTVyKUkvqKDfwcqJkXeKG5xEQXfSKfGk8L+TPkdeWqJAd7Ccb4t7KZfvP/zhD3a9iTvZ494sZ6J902LXrl3yGXrTpk033HCDfccu6JEjFXH+/PlxM+2N9urV66233nL+6J///Ge3bt3i3rZ8+fLmzZvbj0sSGyyprE8++aT3nljkU9znP//5xPkpL5Jug+9x8UzjDpafl37uYMnMF198UXoOKdXyb+KIBT2W/NzB8s61dAyJ38GqrKxMul03bumL8+yzz8ohkTjf++BPOWjS+hw8eDBxtUnP1rht+RxwOVvlI/qcOXPkLLC/CJjTcrjBko+b9mNdab0XLVpkzU88SUaOHGl9vUAmEr8KcP311zufbkycOFFeXrly5ciRIzNmzAjrO1irVq1y+y1C2XPrDtbjjz/udslesWJFly5d7JM85Wrd5gddT0PsV/QHDhzo//0+B8RjZ9zWMH78eDk55cSTBEnqZ86cmV5QfnY+5U6aNvJug5NU0J30OCkC7aTPkZeP4EOGDDlw4IDzWx3+z3d7QOSaLgMiDZa0jNbMuJPdueypU6cWL17cv3//hthXzeRC/7e//U2mX3311VtuucV6+uOx/0mP9kOHDsmm7d8sk3Bee+01+51SCGUrf/3rX8/GbN26tXfv3j//+c89VtiQrMHav3+/dJArV66Ukbl06dL27dvt3yK8/fbbN2zYUFtbK7mTfZ4+ffro0aOTrtP7Iuk2+HHj6eQzX24D6PbSbbVOMhqvvPKKDIUcQjIUiSMW9FiS99vfwbrzzjvTyPXevXuLi4slR/ZvEcpL+46X25j4TF9D7Ev0EosUkXXr1pWWltrP8pw8Dn4/g/bUU0/JoMka5Jx65513vvGNb1jzk56tcdvyfzDIBzyZ+etf/9o502cDaqBc3e+G2J1GqSLWLybIhH0HMvEksX5Bpqio6Dvf+Y7z9xesCSkqhYWF9suNGzf26dOnZcuWcpjKAS29vHNVSe/N+LlnI725NObW/3c1b948+76oXBxHjRr1hRg5eeJuI7ttQpw/f95jtW7zg66nIfYfA1ZVVfkMJ26fk8aSMii3IbVS06pVK/kAJGesM+OhDE5Oj7zb4CQVdCc9TopAO+lz5KWcyIeNzp07yzkrpcia6f98tyak0shn7ry8PGmP3njjDWtm3MnujLRt27b33HOPdQJOmjTJ+sKTRfbB+gq/x/67He2HDx9++OGHpfQ2b968Xbt2991335tvvmmPxm9+85tbb73VOv1l4sUXX0y5wiYJla8h9qu7smbZK8nRbbfdZv8/WH/5y19kvgyjjENZWdmjjz7qzJ1znd4XSbfBjxtPJ5/5covX7aXbap2k6ZfUt2jRQj4tPPPMM4kjFvRYkjd861vfksGRIfrRj34ka04agkeuxb///W+51LeJkS5t165dzg0lveL5TF9D7BddZbv5+fkjRozYuXNn0vckHvyBBu3atWsy/6abbpKLjHwwsM/6pGdr3Lb8Hwxy6Pbo0ePTTz91znQ7ZsyXq/sNAAhF7haw7JM+SXqdz3ovsuTq1atJvy+fOWPGjHnppZeyucWM4rwCANVosFKaNWvWsWPHDh06dMcdd3zve9/7rHcnS3bs2GH/tmCmXbt27fnnn7/55pvt/6khAjivkHGJN8ANvKDnxE4GFcmgEDqOipSeeuqpzp07t2/f/pFHHonAfx/g0+c+97nnnnsuO9uSg7Bbt27S0mVnc9nBeQUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACJmWBivp76sDAIAs+6w7gixRE6eajAIAYCw95VhNnGoyCgCAsfSU4yjHqfOeJAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4ynHyiBAAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOU4eUQIAIBR9JRjNXGqySgAAMbSU46jHCd3sAAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHUY6TR4QAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU4yjHySNCAACMoqccq4lTTUYBADCWnnJsUJxut5pCuQWlJ6MAABhLTzk2Lk63oU8jJTwiBADAKHrKsXFxhthghbg4AABoPD3l2Lg4abAAAIgqPeXYuDgb02A18RT2ngIAgGD0lGPj4uQOFgAAUaWnHBsXJw0WAABRpaccGxen/wYrZZJ4RAgAgFH0lGOD4nTrhzzmB1p5mPsKAACC01OOoxwnd7AAADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx1GOk0eEAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lOMox8kjQgAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYespxlOPkESEAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOMpx8ogQAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaechzlOHlECACAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzmOcpw8IgQAwCh6yrFBcSbthOrr6+fOnVtYWFhUVDR//nx5mfbKw9hHAACQPj3l2Lg444Z+9erV/fr1+yBGJtasWRNoVdzBAgDAHHrKsXFxxg39gAEDtmzZYk3LRHl5eSirBQAA2aenHBsXZ9zQFxQUnDx50po+ceJEYWFhKKsFAADZp6ccGxdn3NA3bdr0ypUr1rRMNGvWzHtZDxncaQAA4IOecmxcnNzBAgAgqvSUY+Pi5DtYAABElZ5ybFyccUO/atUqt98iTJkkHhECAGAUPeXYoDiT9kP19fVz5swpjJk3b57z/8EKlCQ9GQUAwFh6yrGaONVkFAAAY+kpx1GOk0eEAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lOMox8kjQgAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYespxlOPkESEAAEbRU47VxKkmowAAGEtPOY5ynNzBAgDAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxxHOU4eEQIAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOoxwnjwgBADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx1GOk0eEAAAYRU85VhOnmowCAGAsPeXY9Djr6uomTZrUtm3b4uLipUuXpr0ePRkFAMBYesqx6XFOmTJl/PjxtTHjxo174YUX/C/LI0IAAIyipxybHme7du2OHz9uTUuPVVFRkd569GQUAABj6SnHpscpDdaJEyesaem0CgsL01uPnowCAGAsPeXY9DgnTpxYWVl5PGbChAnNmzf3eHMTT1nbZwAAkJSecmx6nKdPn5a+qqioqKSk5IknnujQoUN669GTUQAAjKWnHOdSnM8++6w0W+ktqyejAAAYS085Dj/OixcvLlq0qHv37nl5efLvkiVLLl26lPbaKisra2pq6urq1q1bV1paunfvXvtHKZPEI0IAAIyipxyHH+fMmTOHDRu2e/du6bTk36FDhz722GNpr23t2rWdOnXKz88fMWLEzp07nT8KlCQ9GQUAwFh6ynH4cZaUlNTU1NgvZVrmhL4VP7iDBQCAUfSU4yg3WE56MgoAgLH0lOOMPCIcPnz4u+++e/HiRflXphvziDAsejIKAICx9JTjjHzJfeHChTfeeGNeXp78u3jx4sZ8yb0xeEQIAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOQ4/zt27d5eXl7du3fozfzzHI0IAAIyipxyHH2f//v2XLVv28ccfh77mxtCTUQAAjKWnHIcfZ15e3oULF0JfbSPpySgAAMbSU47Dj7Nr164HDx4MfbVp4BEhAABG0VOOw4/zueeeGzt27LFjx0Jfc2PoySgAAMbSU47DibNJKqFspZF7+FnvAgAA2ukpx1GO07QmDwAA5fSU4/DjvO6660JfZ+PpySgAAMbSU47Dj/OGG27473//G/pqG0lPRgEAMJaechx+nCtXrrz//vsPHTpUX18f+soD4REhAABG0VOOw4+TL7kDAICk9JTjKMdpWpMHAIByesqxmjjVZBQAAGPpKcemx3ngwIG77767MEYm5GV669GTUQAAjKWnHJse54ABAxYuXFgXs2DBAnnpf1keEQIAYBQ95dj0OPPz88+dO2dNnz17Vl6mtx49GQUAwFh6yrHpcT7wwANLliw5c+ZMXV3dokWL5GV669GTUQAAjKWnHJse59GjR7t27Wo945OJDz/80OPNhv89RAAAlNNTjk2Pc/jw4QsWLLC/gyUv01uPnowCAGAsPeXY9Dhbt27Nd7AAAIgGPeXY9DgHDBiwaNEi6w7W448/Xl5ebv8oZZJ4RAgAgFH0lGPT49y/f/+oUaO+EDN69Oj333/f/lGgJOnJKAAAxtJTjtXEqSajAAAYS085jnKcPCIEAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHEc5Th4RAgBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU46jHCePCAEAMIqecqwmTjUZBQDAWHrKcZTj5A4WAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjKcfKIEAAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnIc5Th5RAgAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085jnKcPCIEAMAoesqxmjjVZBQAAGPpKcemxxl3F6qgoCDt9YS7YwAAICg95TiX4ly5cuXs2bP9v59HhAAAGEVPOc6ZOC9fvlxWVnb06NH0FteTUQAAjKWnHOdMnGvWrJk6dWrai+vJKAAAxtJTjnMjzmvXrvXs2bO6utr7bU08ZWdXAQCAGz3lODfiXL9+/ZgxYxqzBj0ZBQDAWHrKcW7E2bdv323btgVdijtYAAAYRU85zoE4N2/ePHDgwMT5gZKkJ6MAABhLTznOgTgrKiqqqqoS59NgAQCQW/SU4yjHySNCAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6ynGU4+QRIQAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeU4ynHyiBAAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOU4eUQIAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOY5ynDwiBADAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxxHOU4eEQIAYBQ95VhNnGoyCgCAsfSU4yjHyR0sAACMoqccq4lTTUYBADCWnnKcA3Hu2rVr5MiRbdq06dSp09q1a9NbiZ6MAgBgLD3l2PQ49+3bV1pa+tvf/vajjz46fPjwgw8+6H9ZHhECAGAUPeXY9Dilo/rlL3/Z+PXoySgAAMbSU45Nj7OkpGTx4sUdO3Zs27btpEmT6urq0luPnowCAGAsPeXY9DibNWv20EMPHY8ZP378lClTPN7cxFPW9hkAACSlpxybHmdBQcGJEyesaemxiouL01uPnowCAGAsPeXY9DgrKiqkr7Kma2trabAAAMhdesqx6XGuXbu2srLSfkQ4depU+0cpk8QjQgAAjKKnHOdAnEuWLCkuLi4qKpo4caLzS+6BkqQnowAAGEtPOVYTp5qMAgBgLD3lOMpx8ogQAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaechzlOHlECACAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzmOcpw8IgQAwCh6yrGaONVkFAAAY+kpx1GOkztYAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lOMox8kjQgAAjKKnHKuJU01GAQAwlp5yrCZOAABggM+6I8gSLXGmLTuHAlvRvJWsbYitsJVobCVrG2IrZm4lVzAWKUTpoGQrZm4laxtiK2wlGlvJ2obYiplbyRWMRQpROijZiplbydqG2ApbicZWsrYhtmLmVnIFY5FClA5KtmLmVrK2IbbCVqKxlaxtiK2YuZVcwVikwOFiJvJiLFJjJvJiLFITVeQ1BQ59M5EXY5EaM5EXY5GaqCKvKXDom4m8GIvUmIm8GIvURBV5TYFD30zkxVikxkzkxVikJqrIawoc+mYiL8YiNWYiL8YiNVFFXgEAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACJmuBuv1118fNmxYXl5ex44dp02bdurUKe/5TvX19XPnzi0sLCwqKpo/f7689J4P/9zGf/PmzYMHD27VqpXMnzx5cm1tbeKy5CWjGjO8pCZzPMawyf8Luix5CYXbMFJlFNLVYI0YMWLLli3nz58/fvz49OnT77rrLu/5TqtXr+7Xr98HMTKxZs0a7/nwz238hw4dumnTprq6unPnzi1btkwuT4nLkpeMaszwkprMSTmGHg0Weckot2Gkyiikq8Fykprdpk2blPPt69SAAQPk9LCmZaK8vNx7PtLjlhe5MOXn59svyUt2pDG8pCYLUo5hYoNFXrLDzzBSZZTQ22BVVVUNGTIk5Xz70C8oKDh58qQ1feLEicLCQu/5SE/SvFy4cGH58uXOz3zkJTvSGF5SkwUpx9CjwSIvGeVnGKkySihtsHbu3FlWVrZv3z6f80XTpk2vXLliTctEs2bNvOcjDUnH3/pCSfv27d97773ERchLRjVmeElN5qQcQ49HhOQlo1IOI1VGD40N1tatW7t06bJ9+3af8y18tsg0j/E/e/bs0qVLBw0alPgj8pJRjRleUpM5adzBSrkseQmF9zBSZVRR12CtX7++U6dOb7/9ts/5Np6OZ1TK8ZceK+l3s8hLRjVmeElN5qTxHayUy5KXUHgMI1VGG10N1ooVK+TTw549e3zOb3Bcp1atWpX09zjc5sM/t/GfOHFidXX1lStXjhw5MmPGjKTfwSIvGZXG8JKaLEg5hh7fwSIvGeU2jFQZhXQ1WE0SnD9/3mN+g+PQr6+vnzNnTmHMvHnznP9DSdL58M9t/Ddu3NinT5+WLVuWlpZOnz799OnTzkWsCfKSUWkML6nJAu/xd3LO916WvITCbRipMgrparAAAACygAYLAAAgZDRYAAAAIaPBAgAACBkNFgBXbn+hNuhfpfXzl249Fo/7dnBBQUFjFg9rcADAA9caAK7c/kJt0L9K6+cv3Xos7rRy5crZs2cHWpymCkD2cd0B4IvzL9Q25n9EdPt73n4Wv3z5cllZ2dGjRwMtToMFIPu47gDwxfkXahvzNz3c/s66n8XXrFkzdepUtz10W1warOLi4vz8/N69ez/99NNXr15NFSsANBYNFoDU4v5Cbdp/ldbjL92mXPzatWs9e/asrq5220nvxS9durRjx47y8vJZs2alChcAGosGC0AKiX+hNr07WInrifviuffi69evHzNmjHNOoMUthw8f5m/lAsgCGiwAXpL+hdo0voOV8i/dei8u+vbtu23btrQXt9TU1JSUlHisBABCQYMFwJXbX6gN+ldpPf7SrZ/Vis2bNw8cODC9xcePH7979+7Lly9XV1cPHz585syZ/kcAANJDgwXAldtfqA36V2k9/tKtk8cfta2oqKiqqvLeW7fFrb8a3qpVq+7duy9cuPDixYuNHxkA8EaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJD9H8xfpRSMtcnCAAAAAElFTkSuQmCC)
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