Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit335-07-20020830_194000_20020831_002500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/30 |
Start Time | | 2002/08/30 19:40 |
End Time | | 2002/08/31 00:23 |
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 | | -10.99 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.49 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 173.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit335-07-20020830_194000_20020831_002500-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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAwMzoxNTo0NCBFU1QgMjAxOVvrSXgAAAHNdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMzUtMDgtMjAwMjA4MzFfMDAyNjAwXzIwMDIwODMxXzA1MTEwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdlb3RhaWwgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDgtMzFUMDA6MjY6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA4LTMxVDA1OjA5OjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6NS4wMDI3Njk5OTk1LCAibWF4IjoxMS41NTA2MzAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19DCTmYwAAAARnQU1BAACvyDcFiukAACFpSURBVHic7d17cBXl+cBx5CIhtGkCKREkXKS00gFaGe2QJiBgQKioaBkbQG5SS6sw0lYuIQFKW6XtFEYcFSyNHWdULnaQ0YKdjpV2aq0MlqGlBkGQS6DcCTcNIJffM9n57Zyes7tnz8mb8J59vp8/nD2bs7vv8z57zvOc3YOn2VUAAAAY1exaDwAAACBqaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADNPSYDVrpiVSADCoMd4833333Z49eybdc2McOsK1IMKhZSgt+fA78zgjASBAY7xJlpSUrF279pocOnrv+W5EBkOL3ixdE1omMdWPSuvXrx84cGDr1q07duw4ceLEw4cPB69v9r/8jnLlypVZs2bl5ubm5eXNmTNHHjrrd+/ePXLkyNx6siAPPTd/8803hwwZkpWVJUefMmXK8ePHg3frtz7V/fgNz282YickeNoNDl5s3bp12LBhbdu27dSpU1VVVXr7Z+YDTma/nXuuNzLzjcEvqOuuu66goKCsrKympiZg8zTGf+jQoUceeaRbt26tWrWSrYYPHy4Z9BxM3EpZ+OpXvxp7CFnu1auXZ03dvn37/fff365du+uvv/7WW2999dVXnfWnTp2Scfbs2bNNmzZy9Hvvvfett95KOubEwaT9hEQ5OTnnz59v+KHT0NitQ0CuU5XqUIPPpSZAWxZHy3Sk+h4xePBg+YBVW1t75syZhQsXSlEMXh/yxFq+fHm/fv0+ricLK1ascNYXFRVVVFTU1isvL5eHnpsPHTp0w4YNZ8+ePXLkyNSpU++6667g3fqtT3U/fsPzmw2/WU1pTlId/I4dOwoLC1966aWTJ0/u27dvzJgx6e2fmU+7oMatNzLzjSGxwXIWLl++fPDgwR//+MclJSUBm6c6/gMHDnTt2lV2W11d/emnn0pX/cYbb9x5552eg4lbKQvSKr3++uvun1577TVZk9hg7dy5U7rDX//613LyS+/y3nvvffvb33b+JMd6+OGH5QkXLlw4evTo6tWrb7/99uAxew4m7SekvUnGNVjBuU4VDVamy/jpkLeSxx57rKCeLLifiiTTS5Ys6dy5s3wqdR7+8pe/7NChg3y8e/TRR+WNxn3a1f/9yJ54CCmH2dnZwetDnlhSIKW+OsuyUFxc7CzLfqRSOsunT5/2PFwceX7btm2Dd+u3PtX9hBme5yyFmRZTg5eO6plnnjG7f0+Rn3lTDVYDZ/6zzz6bN29ely5dcnNzpW9wVga83pctWya1LSsrq3///tu2bXPWv/XWW7fccouslD85nVDiiz1u2KdOnWrTpo0sfP/733/hhRfc9VVVVbImePyeM/PQQw9Jc+wZo98msWNbs2ZN7CEkuldffTVx8GPHjv35z3/ueQgJR4LyG0DsQQPeJK/6TH7wm2eqmyS+b3um1e80iCWfuKTFlFhycnLuu+++Y8eOhQkn+KByAsgO5fkyUWnkWjr4n/3sZ926dcvLy5s8efK5c+dSmqWkEQVcWo59TuwMJ92n35gTX56JxwpTnQcMGLBy5Up3wPLxoGPHjmFO14yQ8Q2W5Li0tLSmnnysnz9/vrNeUnjvvffK51H3oTztQD1Z+MlPfuKuj1uII+fTokWL3CsNfutl8/z8fKlzvXv3Xrp06aVLlzz3JiexewbLR0k5NZ3l0aNHy8jlrKqtra2srJSHSQNft27doEGDgnfrtz7V/SQdnt8shSnzpgYvr2E5GeTFKW8WEyZMkKE2fP+eIj/zSU/mkA1WA2de2gWZn127dp08eXLGjBnOyoDX+6hRo/bs2SMTsnDhQrcjkfPh97//vbyzyxv3lClTPMcZW0sOHTo0e/Zs5wKPdBgDBw5cvXq1LK9atUqWL168GDx+z5mRMUgZ84zRb5PY9yUZVc+ePf/+97/Lw40bN8qyrEl845Lz3++rBSNGjHjggQfeeeedTz/91G8YV0O8SQZMvt8+U90k8X3bM61+u43Vt2/ft99+W0KWl8+0adO++93vhg/H86DyApSZPFhv2LBhaeR68eLFd9xxx8cffyyn9IMPPvijH/0opVlKGlHwueQ+jJ3hpPv0G7PnyzPuWGGq8x//+MdevXrJKe38SV6kv/jFL/wmMONkfIN10003ffDBB86yfNTo0aOHsywp3Lt3r/s0eeg+7T//+U/s0+IWYjnNuHyk++ijj8Ksl/fxzZs3ywvSPeHiNG/e3HmPFrLQokULZ9m5sOzsVhbcs9/Pli1bunfv7r6S/Xbrtz7V/QQPz282roYr86YGL0+Q1/+RemVlZZMmTWrg/j1pmHlHwMkcssFq4Mx/6Utfci8euAJe79IbOcuffPKJcwlKFBYWPv300/v37w8YZ7P/JZ/U5S3C+dPhw4clTXPmzJH/ul90S/XMadmyZWxnk3hFIXGTuL8+//zz99xzz9X6m32/+c1vEp/gHKWurs5zAKdPn5ZS97WvfS0rK0sm8PHHH/e8QpD0TTJg8v1iT3WTxPdtz7T67daPzEDnzp3Dh+N30O3btzvLsqFnCMG5vvnmmz/88ENnWU4neUUnHUlKEYVssGJnOOk+/cbs+fKMO1bI6nzbbbe9/PLLV+tvc8sAZM49h5eJMr7BkrcM921FFuShsywpjP1mqDz0e1rcQhw55xYsWDBgwICQ66/WX+SMvRgQ+wLz++wrbX55ebn7VRt56Lm5Qz7FdunSZdOmTe6a9C4VhN+P3/CSzkaYMm9w8PI0Z1l6rPz8/Ibs35OSmY8VezIn3Xnc+lQnJ+5sj31puwJe754j+ec//zlq1Kj27dv37NnTva/n92RnPBUVFbHfaZOP3fIE9x5lwPj93HDDDYlXNdyDtmrVKu4Ol8QlPVzs0+QJHTt2fOWVV+S/7v2juP0EXMFyyVuidE4TJ05MvOR5NcSbZMjJj5XqJonv23F/Dd5tLPl4IHmUdtk5qdw+ONVwYp/vZkqe7xlCcK6lV4tt5d0shxxJ0ohCNlixM5x0n2HG7HeskNV53bp1X/nKVy5dujRmzBj5OJQYQubK+AYrZO8f++FMFhKf5tyQ9iQ1zP2uTJj1NTU18mbnuSu/b2/ISRzyO1irVq3q1KnT+++/H2a3AV8WSWk/YYbnORthyrypwZeUlEhf5SzLJy23wTL1HSw9Mx/L82QO2WA1cOalJUrpClbASOTd/A9/+IMUP+dh3Is97sky4e5Fi61bt8pH6rVr1954443uZcJUzxxpaObMmRO30j1or1693nvvvdg//eMf/+jWrVvc0xYtWtSyZUv37kliTR07duyTTz4ZPBKHNOuf//znE9cnfZP0m/yAN880rmCFeRjmCpasfPHFF0+cOCGVW/6bOGOpnkthrmAF51raiD179iRuFXJik0bkOaTgsz3pPv3G7PnyjDtWyBmWl2efPn1mzpwpp737zb9oyPgGSz5uund5pROvrKx01ie+SIYNG+Z8vUAWEm9yf/GLX6yurnafP378eHl48eLF/fv3T5s2zf3A57e+rKxMTiA5OeSvMp7p06d7jnbZsmV+/1hMRu5cqJg7d67fW/bixYu7dOnivsiT7tZvfar78Rue32zETrtnII0x+KqqqnHjxrm3CCdPnpze/j2pmvmkJ3PI6tjAmX/iiScGDRq0e/fu2C95hH+9u7HIW7zEIg2W9LXOyrgXe+y2x48fnzdvXv/+/a/Wf79N3vf/+te/yvLrr79+yy23OHd/AsbvOTN79+6VQ7v/skzCeeONN9xnPvvss3KUv/zlL6frbdy4sXfv3r/61a9CTrW7sHPnTukglyxZIjNz/vz5TZs2uf+K8Pbbb1+9erV86pATRsY8derUESNGeO4z+E3Sb/Lj5jNWyHz5TaDfQ7/dxpLZeO2112Qq5BSSqUicsVTPJXm++x2sO++8M41cP/XUU3JE+ZOckP/+97+/853vBI8kbmKTRuQ5pICzPcw+/cbs+fKMO1b47MvHTln529/+NnZlmDcxy2V8AHV1dVIAnH+nIAvuBcnEF4nzD2Ty8vJ+8IMfxP5zBmdBKl9ubq77cM2aNX379r3++usLCwvl/Uha+zDrW7duLU26nFV+X4aQVl36dOd/azR79mz3Mqm8OQ4fPvwL9eQ1vGvXLs/NmyU4e/ZswG791qe6H7/h+c1G4iECMmhq8Ffr7+bk5+dLiqX/cL/knur+mfmAk9lv557rGzjz0g1IT9m5c2dJqPQNzsrwr3dnYeXKlfIRPCsrS9qjt99+21kZ92KPHXm7du3uueceZ54nTJjgfOHJIWNwuvaA8ftN+L59+x566CEpvS1btmzfvv1999337rvvurPxu9/97tZbb3WyLAsvvvhi0h0286qpUttkzzIqOTFuu+029/+D9ec//1nWyzTKPHTv3v3RRx+NPWFi9xn8Juk3+XHzGStkvvzi9Xvot9tY69evl9S3atVKPtI8/fTTiTOW6rkkT/je974nkyNT9NOf/lT27BlCQK4vX74sI7n55pvlxSVd9bp164JHEjexSSPynNXEsz2lWfIbs+fLM+5Y4bMv52rPnj0/++wzz5nPXBkfAACg4SJQz5rMv/71L2lVr/UoGsulS5ekO2zKI959992vvPJKUx6xafCKAgDQYCU3Y8aMQ4cO7d2794477vjhD394rYfTWDZv3uz+a8HGdvny5eeff75Pnz7u/6khSnhFoYkk3h2z8A09IwaZqkgGBeM4K5J66qmnOnfu3KFDh4cffjhK/zeBOJ/73Oeee+65pjmWnHXdunWTlq5pDtfEeEUBAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYJiWBsvzX6oDAIAmdq07giaiJk41GQUAwFp6ynGU49TZMgMAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOOoxwntwgBALCKnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx1GOk1uEAABYRU85VhOnmowCAGAtPeU4ynFyBQsAAKvoKcdq4lSTUQAArKWnHFsUp9+lJiOXoPRkFAAAa+kpx9bF6Tf1aaSEW4QAAFhFTzm2Lk6DDZbBzQEAQMPpKcfWxUmDBQBAVOkpx9bF2ZAGq1kg0yMFAACp0VOOrYuTK1gAAESVnnJsXZw0WAAARJWecmxdnOEbrKRJ4hYhAABW0VOOLYrTrx8KWJ/Szk2OFQAApE5POY5ynFzBAgDAKnrKsZo41WQUAABr6SnHauJUk1EAAKylpxxHOU5uEQIAYBU95VhNnGoyCgCAtfSUYzVxqskoAADW0lOOoxwntwgBALCKnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx1GOk1uEAABYRU85VhOnmowCAGAtPeVYTZxqMgoAgLX0lOMox8ktQgAArKKnHKuJU01GAQCwlp5yHOU4uYIFAIBV9JRjNXGqySgAANbSU47VxKkmowAAWEtPOY5ynNwiBADAKnrKsZo41WQUAABr6SnHFsXpeanpypUrs2bNys3NzcvLmzNnjjxMe+cmxggAANKnpxxbF2fc1C9fvrxfv34f15OFFStWpLQrbhECAGAPPeXYujjjpr6oqGjDhg3OsiwUFxcb2S0AAGh6esqxdXHGTX1OTs6xY8ec5aNHj+bm5hrZLQAAaHp6yrF1ccZNffPmzS9evOgsy0KLFi2Ctw3QiIMGAAAh6CnH1sXJFSwAAKJKTzm2Lk6+gwUAQFTpKcfWxRk39cuWLfP7V4RJk8QtQgAArKKnHFsUp2c/dOXKlZkzZ+bWmz17duz/ByulJOnJKAAA1tJTjqMcJ1ewAACwip5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdRjpNbhAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JTjKMfJLUIAAKyipxyriVNNRgEAsJaecqwmTjUZBQDAWnrKcZTj5BYhAABW0VOO1cSpJqMAAFhLTzlWE6eajAIAYC095TjKcXKLEAAAq+gpx2riVJNRAACspaccRzlOrmABAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjqMcJ7cIAQCwip5yrCZONRkFAMBaesqx7XHW1tZOmDChXbt2+fn5CxYsSHs/ejIKAIC19JRj2+OcNGlSWVnZ4XoPPPDACy+8EH5bbhECAGAVPeXY9jjbt29/5MgRZ1l6rJKSkvT2oyejAABYS085tj1OabCOHj3qLEunlZubm95+9GQUAABr6SnHtsc5fvz4cePGHak3duzYli1bBjy5WaAmGzMAAPCkpxzbHueJEyekr8rLyysoKHjiiSduuOGG9PajJ6MAAFhLTznOpDifffZZabbS21ZPRgEAsJaecmx7nOPGjaupqamtrV25cmVhYeGHH37o/ilpkrhFCACAVfSUY9vjrKqq6tSpU3Z29tChQ7ds2RL7p5SSpCejAABYS085jnKcXMECAMAqesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHEc5Tm4RAgBgFT3lWE2cajIKAIC19JRjNXGqySgAANbSU47Nx1lXV1dZWdmjR4+srCz57/z588+fP2/8KGFwixAAAKvoKcfm45w+ffqQIUO2bdsmnZb8d/DgwY899pjxo6RKT0YBALCWnnJsPs6CgoKamhr3oSzLGuNHSZWejAIAYC095TjKDRa3CAEAsIqectwotwhLS0s/+OCDuro6+a8sc4sQAABc1VSOG+VL7hUVFTfddFNWVpb8d968edfqS+6x9GQUAABr6SnHUY6TW4QAAFhFTzlWE6eajAIAYC095dh8nNu2bSsuLm7Tps01v3rEFSwAAKyipxybj7N///4LFy785JNPjO+5IfRkFAAAa+kpx+bjzMrKOnfunPHdNpCejAIAYC095dh8nF27dt2zZ4/x3aaBW4QAAFhFTzk2H+dzzz03atSoQ4cOGd9zQ+jJKAAA1tJTjs3E2SyZtPe8e/fukSNH5taTBXmY9gjTHgMAADBCTzm2Pc6ioqKKioraeuXl5fIw/LbcIgQAwCp6yrH5OK+77jqDe8vOzj5z5oyzfPr0aXmY3n70ZBQAAGvpKcfm47zxxhv/+9//mtrb6NGj58+ff+rUqdra2srKSnmY3n70ZBQAAGvpKcfm41yyZMn999+/d+/eK1euNHxvBw4c6Nq1q3OPTxYOHjwY8ORG+h4YAAAwQk85Nh+n2eamtLS0vLzc/Q6WPEx7VGmPAQAAGKGnHNseZ5s2bfgOFgAA0aCnHNseZ1FRUWVlpXMFa+7cucXFxe6fkiaJW4QAAFhFTzm2Pc6dO3cOHz78C/VGjBixa9cu908pJUlPRgEAsJaechzlOLmCBQCAVfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzmOcpzcIgQAwCp6yrGaONVkFAAAa+kpx2riVJNRAACspaccRzlObhECAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjqMcJ7cIAQCwip5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdRjpNbhAAAWEVPOVYTp5qMAgBgLT3lOMpxcgULAACr6CnHauJUk1EAAKylpxyriVNNRgEAsJaechzlOLlFCACAVfSUYzVxqskoAADW0lOObY8z7ipUTk5O2vsxOzAAAJAqPeU4k+JcsmTJ448/Hv753CIEAMAqespxxsR54cKF7t27HzhwIL3N9WQUAABr6SnHGRPnihUrJk+enPbmejIKAIC19JTjzIjz8uXLX/7yl6urq4Of1ixQ0wwVAAD40VOOMyPOVatW3X333Q3Zg56MAgBgLT3lODPi/PrXv/7OO++kuhVXsAAAsIqecpwBca5fv/6b3/xm4vqUkqQnowAAWEtPOc6AOEtKStatW5e4ngYLAIDMoqccRzlObhECAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjqMcJ7cIAQCwip5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdRjpNbhAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JTjKMfJLUIAAKyipxyriVNNRgEAsJaechzlOLmCBQCAVfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzmOcpzcIgQAwCp6yrGaONVkFAAAa+kpx2riVJNRAACspaccRzlObhECAGAVPeVYTZxqMgoAgLX0lOMMiHPr1q3Dhg1r27Ztp06dqqqq0tuJnowCAGAtPeXY9jh37NhRWFj40ksvnTx5ct++fWPGjAm/LbcIAQCwip5ybHuc0lE988wzDd+PnowCAGAtPeXY9jgLCgrmzZvXsWPHdu3aTZgwoba2Nr396MkoAADW0lOObY+zRYsWDz744JF6ZWVlkyZNCnhys0BNNmYAAOBJTzm2Pc6cnJyjR486y9Jj5efnp7cfPRkFAMBaesqx7XGWlJRIX+UsHz58OKUGiytYAABYRU85tj3OqqqqcePGubcIJ0+e7P4ppSTpySgAANbSU44zIM758+fn5+fn5eWNHz8+9kvuNFgAAGQWPeU4ynFyixAAAKvoKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yHOU4uUUIAIBV9JRjNXGqySgAANbSU47VxKkmowAAWEtPOY5ynNwiBADAKnrKsZo41WQUAABr6SnHauJUk1EAAKylpxxHOU5uEQIAYBU95VhNnGoyCgCAtfSU4yjHyRUsAACsoqccq4lTTUYBALCWnnKsJk41GQUAwFp6ynGU4+QWIQAAVtFTjtXEqSajAABYS085VhOnmowCAGAtPeU4ynFyixAAAKvoKcdq4lSTUQAArKWnHNsep6mrUHoyCgCAtfSUY9vjbGBTxS1CAADsoacc2x6nqUzoySgAANbSU45tj1MykZ+fn52d3bt376VLl166dCnt/ZgdGAAASJWecpwZcZ4/f37z5s3FxcUzZswIeFozAABgtyZrHq6tTIpz3759ubm5jbHnpsk3R+EokTkQR+Eo0ThKkx2IoyiUSdNUU1NTUFDQGHuO0knJUTQfpckOxFE4SjSO0mQH4igK2T5NZWVl27Ztu3DhQnV1dWlp6fTp090/GcxxlE5KjqL5KE12II7CUaJxlCY7EEdRyPZpWrNmTd++fVu3bt2jR4+Kioq6ujr3TzRYHIWjXKsDcRSOEo2jNNmBOIpCTFPUcOrbibxYi9TYibxYi9SExDRFDae+nciLtUiNnciLtUhNSExT1HDq24m8WIvU2Im8WIvUhMQ0RQ2nvp3Ii7VIjZ3Ii7VITUhMU9Rw6tuJvFiL1NiJvFiL1ITENAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYVrty5cqsWbNyc3Pz8vLmzJkjD90/Nft/qW4bsE+E5DeHb7755pAhQ7Kysjp27DhlypTjx4+H35a8GOE3jevXrx84cGDr1q0lNRMnTjx8+HD4bUlNwwXP4bFjxwoLC/3ezchLo/Kbxmb/K6VtSY2DBstqy5cv79ev38f1ZGHFihVxTwhosPy2TbpPJOU3h0OHDt2wYcPZs2ePHDkyderUu+66K/y25MUIv2kcPHjw2rVra2trz5w5s3DhQumDw29LahoueA4feeSRJ5980u/djLw0Kr9pDPN/EyU1wWiwrFZUVCQF21mWheLi4rgnJL4G3DV+2ybdJ5IKM4dSyNu2bes+JC9NI8w0SgecnZ3tPiQ1TSBgDqurq3v06FFXVxf3bkZemobfNAY0WKQmJBosq+Xk5Bw7dsxZPnr0aG5ubtwTAhosv22T7hNJhZnDdevWDRo0yH1IXppG0mk8d+7cokWLYi8ukpomEDCH3/rWt15++eWrCe9m5KVp+E2jzH9+fr58FOndu/fSpUsvXbrkbkJqQqLBslrz5s0vXrzoLMtCixYt4p4Q8CHDb9uk+0RSSedwy5Yt3bt337FjR/htyYsRwdPofJukQ4cOH330UfhtSU3D+c3hn/70p2984xvOd3T83s3IS6MKnsbz589v3ry5uLh4xowZ4bclNQ4aLKulcQUr6bZ8tmi44DncuHFjly5dNm3alNK25MWIpNN4+vTpBQsWDBgwIPy2pKbh/OawT58+f/vb35xlv3cz8tKowkzjvn37PNeTmmA0WFZL4ztYSbfl7njDBczhqlWrOnXq9P7776e6LXkxIsw0So8V+/W4pNuSmoYL+KJP0n+tRl4aVZhprKmpKSgoCL8tqXHQYFlt2bJlqf4rQneN37ZJ94mk/OZw8eLFXbp02b59e+Im5KVp+E3j+PHjq6urL168uH///mnTpnl+B4vUNJ4wc+j3HSzy0qj8prGsrGzbtm0XLlyQF05paen06dPdTUhNSDRYVrty5crMmTNz682ePdvz/4MV97HPXfbbNmCfCMlvDhM/jp89e9b9U/C25MUIv2lcs2ZN3759r7/++sLCwqlTp544ccLdhNQ0gTBz6NdgkZdGFfySad26dY8ePSoqKurq6txNSE1INFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYVvP78eBUf2IzzI8QB2y+e/fukSNHOt9YlAV56Ll5wO/pJv1pagAAooSCZzW/Hw9O9Sc2w/wIccDmRUVFFRUVtfXKy8vloefmSX9PlwYLAKAEBS9jxP54cEP+925xP0Icy2/z7Oxs2cpZPn36dOwP5fqJ+z1dBw0WAEAJCl7GiP3x4Ib8QEHcjxDH8tt89OjR8+fPP3XqVG1tbWVlpTwMHmri7+k6aLAAAEpQ8DJD3I8Hp/0TmwE/Qhyw+YEDB7p27ep8iUoWDh48GDDUgN/TpcECAChBwcsAiT8enN4VrMT9xH333G/z0tLS8vJy9ztY8tBzc5ff7+nSYAEAlKDg2c7zx4PT+A5W0h8hDti8TZs2qX4Hy/P3dGmwAABKUPCs5vfjwan+xGbAjxCH2a00XpWVlc4VrLlz5/r9NHrA7+k6aLAAAEpQ8Kzm9+PBqf7EZsCPEMfy23znzp3Dhw//Qr0RI0bs2rXLc7TBv6fr+dPUAABEEqUOAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw/4PnzfnHhRYh7oAAAAASUVORK5CYII=)
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