Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Zerefsan_Kaymaz_080114_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | January 25, 2013 |
Start Time | | 2013/01/25 15:00 |
End Time | | 2013/01/25 21:00 |
Key Words | | northward IMF deep tail-2 |
Model | | SWMF |
Model Version | | v20110131 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -10.44 |
Dipole Tilt, in Y-Z GSE plane, deg | | 9.18 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 98.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Zerefsan_Kaymaz_080114_3 |
Minimum Dst Value | | 5 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEphbiAxMSAyMjozMToyMSBFU1QgMjAxOW6NeRkAAAGvdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiSWxqYV9Ib25rb25lbl8wNzMwMTRfMTogU1dNRiBwbG90IG9mIHJobyBhbG9uZyBDbHVzdGVyLTEgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDUtMDgtMjJUMDY6MDA6MDAuMDAwWiIsICJtYXgiOiIyMDA1LTA4LTI1VDE4OjAwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6OC43Mzk4MzQ5OTk1LCAibWF4IjoyOC41MzY4NjUwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19930gXgAAAARnQU1BAACvyDcFiukAABypSURBVHic7d17jFTl2QBwBSsLWL7dqiAoq7il1Qaxkmqk6wUQtYoX1KalpsY21NKqRNrIRUEtvWDbiLc0gqV/tGlUxEbpRWyMlT+0phRq025dCl4QkXLTqix2ARG+Nzv55pu+OzPM7p6zDHt+vz/ImbNz3vPO87xznmdmZ4dD9gEAkKhDDvQEAAB6Gg0WAEDCNFgAAAnTYAEAJEyDBQCQMA0WAEDCNFgAAAnTYAEAJEyDBQCQMA0WAEDCNFgAAAnTYAEAJEyDBQCQMA0WAEDCNFgAAAnTYAEAJEyDBQCQMA0WAEDCNFgAAAnTYAEAJEyDBQCQMA0WAEDCNFgAAAnTYAEAJEyDBQCQMA0WAEDCNFgAAAnTYAEAJEyDBQCQMA0WAEDCNFj8v0MOqaL1UFWToXukkfQXXnhh+PDh+x05jVMfqDXsuQPVwPOQ/5e/LlfDBboa5kA3SyPpZ5111uOPP35ATq3BSlCPfFD0bJYsifVVRQ/v9JjVcz3du3fvjBkzamtr6+rqZs2aFW7m9h/y3wYMGJDb/+STT55zzjl9+vQZPHjwtddeu3nz5vLjFA7V/uzbtm0bOnRoJdEoM0h77777bpjD8OHD+/btG+Zz+eWXP/PMM1u3bh04cODOnTvzd5s4cWJ+u7W19eijjw73Caf41Kc+VTj/sH3yyScXLqRClcwnf2AX79BeyEvhI0pw5AMyZqHVq1dfeeWVH/vYxw4//PDPfOYzjz32WFfOm9Rs95v37nxqV89lhAyy+NBg7cfChQtHjRr1WpuwsWjRovb3ufvuu2+++ebc9tixYx9//PF33nln+/btc+fOHTduXIXjFH3I119//bx58yqPRoX3vPDCC6+77rq1a9fu2rUr9EyPPvroueeeG/aHTmvJkiW5+7z99tu9evUKHV7u5sMPPxx+mjtFKOe/+c1v8qM98cQTYU/XF1IaDVaFhxx0DVbI3aBBg+66667169eHDvJPf/rTVVdd1ZXzJjtbDRZYfBRpsPIba9asCVft8BJ5wIABV1xxRb7Wlh+n6M5QA2666aZBbcJG/k2FcIcFCxYcf/zxNTU1Z555ZlNTU3TgqlWrjj322HvvvbcTg3z44Yff+973TjjhhLq6uq9+9as7duwof/+iRo8evWzZstx22GhsbIzuEHqUYcOGvfnmm+2PbWlp6devX4XjtA9gc3NzQ0NDa2trVxqsosf27dv33Xffbb8/tEqXXHJJbvu3v/1tOPbXv/517uYFF1wQfpobMDRhhfMPMXzssccqb7DCHX70ox8NHDgwLK0bbrghBDA6sGiiy78r1tFDwp7QFh933HGHHnrovtJLotSSK1TqadLpxR/u8I1vfCMMGO4fAlX08V599dXf//73S4U32ohuPvPMM6eddlo4aTh1rtFvH6gyz53CuJVSag20P1E04H6DWWpiH3zwwW233VZfX19bWxv6zqLnKpOI/BzOPvvsRx55JD/h0L8OHjy46JMFytNgUa7BGjly5LPPPvuf//wnXF9uvPHGr33ta5WMU3RnuPaNHz9+Q5uxY8fefvvt+TtMnDhx3bp14UI5d+7cfNnOHRhq/NFHH7106dLODTJ//vzzzjvvtdde+/e///3lL3/529/+dvn7FxUu9Pmr/NatW8PlO7pDKFHhQt/+wDD4nXfeOWHChArHaR/Aiy+++KGHHir6o1IqbLAuuuiiL3zhC88//3xIbuH+3bt3h3KyZcuWsD1r1qzQVM2YMSNsh/bxmGOOCT/NDRiK3PDhw//4xz+Gm8uXLw/bYU+HGqyQxzfbhI3vfOc70YFlEl1qzI4eEvZffvnlGzduzN8suiRKDVuo1NOk04t/zpw5IUEb24QUFH0IoUV49dVXSz20oo89fzOk+Fe/+lVoL0L3MHny5KJ3LvPcKYxbKZW/gxUNuN9glppYaDfHjBnzyiuvhP3Tpk0req4yicjP4fe///3JJ58c1nPuRyE+P/zhD8s/WChKg0W5BqvQe++9F17hlR+nqNxPTzzxxJdeeim3HV6pNzQ05I/atGlTbvv999/v27dvfv9PfvKTIUOG/PnPf86foqODnHTSSf/85z9z25s3bw6v18vfv6hevXrlGot9bf1H7969C38aLsSf+MQnmpubi0Zj4MCBL7/8ciXj7GsX9qeffvqMM87IfdSpKw1WUSGbodiceuqpNTU1Iao333xz/jV6eGV/zz33hI3wUv6FF17IVf158+aF/YWnePDBBy+77LJ9bb9t/OlPf7rvv9dP+wUQTTKfx3/84x+FecxtlEl0qUfU0UPC/tdff73wZtElUWrYUgqfJp1e/OH+q1evzm2HA4s+hMMOO6y1tbXUQ4s2optDhw69//7733jjjaI/zSnz3CmMWykdarBKDVg0mKUm9vGPf7z9W9HRucokonAOp59+eu6Fzdq1a8MEQmpKPRYoQ4NFuQZr5cqV48aNq6ury1XK9j1B0XGK7gyFPF8Pwka4WfSowjmEq+Ett9xS+NOODhIqVmGlDy1O+fsXVf6dp8WLF1966aVFDwzl4Y477ghtSiXjtJ/GKaec8txzz1UywzKD7Fdo4EKLc+211+bfafvrX//66U9/eteuXSNGjAg3w6v5nTt3fvKTnwz7C08Rdg4ePPjhhx8O/+Z/H1fhHMIdyuexwkQX6ughYX/0dwbRT8sPW6jU06TTiz/cIf/bq1K/IO7KO1h/+ctfJk6ceOSRRw4fPjz/a+vozmWeO5X8fUaHGqzCAfcbzFITKwxyqXOVSUThHJYuXRoW/J49e770pS+FTrTUA4HyNFiUa7DCK7xf/OIXb7/9drjWhH/LF87yDVaFbzAUzmHDhg3hVemPf/zj/E87Oki4Sq5bt26/Uy3/uMp/dir0Is8//3ypY0OP1b9//0rGKTqrSJlJVvhYSnnnnXc++tGP5m+GB/Xggw/mfnn0la985a677jr11FPbn+LOO+887LDD8r9A6VCDlc9j2Kj8Hawyn/vpxDtYldys5B2sUk+TTi/+St7Buvrqq+fNm1f+oYUGIv/uy6ZNm6JxQkvxu9/97phjjsndjGJb4XOnlDJ3i04U3XO/wSw1sdAstn8HKzpXhYkIkQkvb6ZPn37CCSfkPyAIHaXBolyDFS6+TzzxRHgxHV4rX3XVVV1psGbPnp3/9EN4hTpnzpyiR0Vz2LhxY7ie5gtJRwe59957w/2bm5vDVfLvf//7F7/4xfL3L2rBggWl/vrvySef/OxnPxvd/5prrgln3L179xtvvHHjjTfm3xkqM85+p1F521Thewnnnnvuo48+unnz5jDPMJ8pU6ZcdNFF+Z/ec889Rx555C9/+cuw/fOf//yII47I/dKw/GQ61GBdcMEFuc9ghY32n5cqleijjz66/W9jyx/SxQar1LCFSj1NOr34w/3zn8G68MILiz6EtWvXhvPefffdYcxw6hUrVrT/K8LQxM+dO3fHjh0hxZdddll+/6RJk0KfEZ4UocEaMmRIbmcU2wqfO6WUuVt0ouie+w1mqYn94Ac/GDNmTDiq8DNY0bkqXySLFy8OO3/2s59V+KCgPcuFcg1WaCBCf/ORj3ykvr7+/vvv70qD1draOnXq1Nzf74SN/Bv15RusfW2vvE8++eTvfve7nRjkww8/DNM+6aST+vTpE16S5j8s36EGK7ycDa9la9vMnDmz8FcJZ511Vn7MvCVLlowcOfLwww8fOnRoaFzCq/D9jrPfd6oqubKXGqTosX/4wx+uuOKKurq6mpqaYcOG3XDDDfl57mv7DWZIeihCYXvdunVhO+zZ72Q61GDl/oowTOCb3/xm4R9z5TZKJXr+/PkhekXHr3BtlHoUpW6WGrZQqadJpxd/uMPXv/71EJwQorDyw8hFH0JoHUISQ0DCYjv99NPbfw9WU1PTmWeemftrwQceeCC//5FHHgkTDvtPO+20Z599Nrczim2Fz5329ruYoxNF99lvMEtNLLxUuPXWW4877rgQt9B3Fj1X5YskBHP48OEffPBB9NDKP3YoZLkQ27Nnz2GHHXagZ0FPplBV7m9/+1vogA/0LA6w7r8oXXrppQ8//HB3npGex2WO2MqVK/N/mANp0GDt17Rp0zZt2vT666+fd9553/rWtw70dA6w7rwoffjhhw8++OApp5yS/6YG6ByXOWJHHHHEAw88UOYOhxTTbdNLz0HxuA6KSe7XwTjnbnbvvfced9xxAwcOvO6663xNwH4vSgkKi/OEE04ILV33nI4ezGUOACBhGiwAgIRpsAAAEqbBAgBImAYLACBhGiwAgIRlpcEq+sftAEBSDnSpry5ZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjWQlHBIPAOlRZyM9ORw+fAcA3UOdjWQlHBIPAOlRZyNZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjWQlHBIPAOlRZyNZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjWQlHBIPAOlRZyM9ORy+yR0Auoc6G8lKOCQeANKjzkayEg6JB4D0qLORrIRD4gEgPepsJCvhkHgASI86G8lKOCQeANKjzkayEg6JB4D0qLORrIRD4gEgPepsJCvhkHgASI86G+nJ4fBFowDQPdTZSFbCIfEAkB51NpKVcEg8AKRHnY1kJRwSDwDpUWcjWQmHxANAetTZSLWE46mnnho3blxNTc3gwYMnT5781ltv5fYn9UF1iQeA9KizkWoJx/nnn79s2bKWlpYtW7ZMmTJlwoQJuf1JJUziASA96mykGsOxffv2/v3757Y1WABQ/dTZSDWGY+nSpWPGjMlth4QdddRR/fr1GzFixH333bdnz57OjSnxAJAedTZSdeF48cUXhw0btmbNmsKdO3fuXLlyZWNj47Rp08oce0hZKU8cALJLnY1UVziWL19eX1+/YsWKoj9dv359bW1t50aWeABIjzobqaJwLF68eMiQIatWrSp1hw0bNgwaNKhzg0s8AKRHnY1USzjmz59fX1+/evXqaP+kSZOampp27drV3Nw8fvz4qVOn5n/UoVxKPACkR52NVEs42n9kqqWlJexfsmTJyJEj+/Tp09DQMHv27NbW1sJDOjR+8pMGANqos5GshEPiASA96mwkK+GQeABIjzobyUo4JB4A0qPORrISDokHgPSos5GeHA5fNAoA3UOdjWQlHBIPAOlRZyNZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjWQlHBIPAOlRZyNZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjWQlHBIPAOlRZyM9ORy+yR0Auoc6G8lKOCQeANKjzkayEg6JB4D0qLORrIRD4gEgPepsJCvhkHgASI86G8lKOCQeANKjzkayEg6JB4D0qLORrIRD4gEgPepsJCvhkHgASI86G+nJ4fBFowDQPdTZSFbCIfEAkB51NpKVcEg8AKRHnY1kJRwSDwDpUWcjWQmHxANAetTZSFbCIfEAkB51NpKVcEg8AKRHnY1kJRwSDwDpUWcjWQmHxANAetTZSE8Ohy8aBYDuoc5GshIOiQeA9KizkayEQ+IBID3qbCQr4ZB4AEiPOhvJSjgkHgDSo85GqiUcTz311Lhx42pqagYPHjx58uS33nort3/v3r0zZsyora2tq6ubNWtWuNm58SUeANKjzkaqJRznn3/+smXLWlpatmzZMmXKlAkTJuT2L1y4cNSoUa+1CRuLFi3q3PgSDwDpUWcj1RiO7du39+/fP7c9evTo0HjltsNGY2Nj58aUeABIjzobqcZwLF26dMyYMbntAQMGbNu2Lbe9devW2trazo0p8QCQHnU2UnXhePHFF4cNG7ZmzZrczV69eu3evTu3HTZ69+5d5thDykp96gCQVepspLrCsXz58vr6+hUrVuT3eAcLAKqfOhuponAsXrx4yJAhq1atKtzpM1gAUP3U2Ui1hGP+/Pn19fWrV6+O9i9YsKDUXxF2KJcSDwDpUWcjyYejtbV1zpw5DQ0NNTU14d/bb799586d+59HOy0tLfvavgdr+vTptW1mzpxZ+D1YGiwAqBLqbCT5cEydOnXcuHFNTU2h0wr/jh079qabbkr8LB0l8QCQHnU2knw4Bg0atGHDhvzNsB32JH6WjpJ4AEiPOhvRYAEAXaXORlL5FeH48eNfeuml1tbW8G/Y9itCAOjZ1NlIKh9ynz179oknnlhTUxP+ve222yr5kHvaJB4A0qPORnpyOHyTOwB0D3U2kpVwSDwApEedjSQfjqampsbGxr59+1bVu0fVMAcA6KnU2Ujy4TjzzDPnzp37/vvvJz5yV0g8AKRHnY0kH46ampodO3YkPmwXSTwApEedjSQfjuOPP37dunWJD9tFEg8A6VFnI8mH44EHHpg4ceKmTZsSH7krJB4A0qPORpIJR/v/qrnaviKhGuYAAD2VOhvJSjgkHgDSo85Gkg/HoYcemviYnVNt76IBQE+lzkaSD8exxx77r3/9K/Fhu0jiASA96mwk+XDcfffdV1555euvv753797EB+80iQeA9KizkeTD4UPuAJA16mwkK+GQeABIjzobyUo4JB4A0qPORrISDokHgPSos5GshEPiASA96mwkK+GQeABIjzob6cnhqLa/ZASAnkqdjWQlHBIPAOlRZyNZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjWQlHBIPAOlRZyNZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjfTkcPiiUQDoHupsJCvhkHgASI86G8lKOCQeANKjzkayEg6JB4D0qLORrIRD4gEgPepsJCvhkHgASI86G6micBT9c7+k/hJQ4gEgPepspOrC0b7BSmNYACBB6myk6sKhwQKAg446G6m6cLRvsI466qh+/fqNGDHivvvu27NnTyLDAgAJUmcjVReOohnauXPnypUrGxsbp02bVv7YMlKbMgBknTobqbpwlMnQ+vXra2trEx8WAOgidTZSdeEok6ENGzYMGjQo8WEBgC5SZyNVF44oQ5MmTWpqatq1a1dzc/P48eOnTp1a6p4dGhYASJA6G6micBT9yNSSJUtGjhzZp0+fhoaG2bNnt7a2Ft6/Q4MnPF0A4P+os5GshEPiASA96mwkK+GQeABIjzobyUo4JB4A0qPORrISDokHgPSos5GeHA5fNAoA3UOdjWQlHBIPAOlRZyNZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjWQlHBIPAOlRZyNZCYfEA0B61NlIVsIh8QCQHnU2kpVwSDwApEedjfTkcPiiUQDoHupsJCvhkHgASI86G8lKOCQeANKjzkayEg6JB4D0qLORrIRD4gEgPepsJCvhkHgASI86G8lKOCQeANKjzkayEg6JB4D0qLORrIRD4gEgPepspCeHwxeNAkD3UGcjWQmHxANAetTZSFbCIfEAkB51NpKVcEg8AKRHnY1kJRwSDwDpUWcjWQmHxANAetTZSFbCIfEAkB51NpKVcEg8AKRHnY1kJRwSDwDpUWcjWQmHxANAetTZSE8Oh29yB4Duoc5GshIOiQeA9KizkayEQ+IBID3qbCQr4ZB4AEiPOhvJSjgkHgDSo85GqigcRT+Nvnfv3hkzZtTW1tbV1c2aNSvc7PTgScwRAChCnY1UXTiiDC1cuHDUqFGvtQkbixYtSmRYACBB6myk6sIRZWj06NHLli3LbYeNxsbGRIYFABKkzkaqLhxRhgYMGLBt27bc9tatW2traxMZFgBIkDobqbpwRBnq1avX7t27c9tho3fv3uWPLSPFSQNAtqmzkaoLh3ewAOCgo85Gqi4cPoMFAAcddTZSdeGIMrRgwYJSf0XYoVxKPACkR52NVFE4in5kau/evdOnT69tM3PmzMLvwdJgAUCVUGcjWQmHxANAetTZSFbCIfEAkB51NpKVcEg8AKRHnY1kJRwSDwDpUWcjPTkcvmgUALqHOhvJSjgkHgDSo85GshIOiQeA9KizkayEo/x/UwgAdNGBLvXVJUPhqJLcm0Yh0yhkGoVMo5BpFDKNQlUyjX3VNJMqkaFwVEnuTaOQaRQyjUKmUcg0CplGoSqZxr5qmkmVyFA4qiT3plHINAqZRiHTKGQahUyjUJVMY181zaRKZCgcVZJ70yhkGoVMo5BpFDKNQqZRqEqmsa+aZlIlhIMDyROSUqwNSrE2OChYphxILpSUYm1QirXBQcEy5UByoaQUa4NSrA0OCpYpB5ILJaVYG5RibXBQsEw5kFwoKcXaoBRrg4OCZQoAkDANFgBAwjRYAAAJ02ABACRMgwUAkDANFgBAwjRYAAAJ02ARe+qpp8aNG1dTUzN48ODJkye/9dZbuf179+6dMWNGbW1tXV3drFmzws3y+w/5b6VOV+rwV1999ZJLLqltEzbCzQ7N9sknnzznnHP69OkT9l977bWbN29OJDgZ1zPWRs62bduGDh3qG5WS0jPWRoVnh0pYQMTOP//8ZcuWtbS0bNmyZcqUKRMmTMjtX7hw4ahRo15rEzYWLVpUfn+Fl6dSh48ePXr27NnvtLnlllvCzQ7NduzYsY8//ng4dvv27XPnzg0X004HhLyesTZyrr/++nnz5imiSekZa8N6IEEWE+WE7qR///657XCpCpek3HbYaGxsLL+/wktVqcP79esXzp7bfu+998LNDs22ULiMVnI4HXJQr43m5uaGhobW1lYFNQ0H79qwHkiQxUQ5S5cuHTNmTG57wIAB27Zty21v3bq1tra2/P5wqTrqqKPCBW7EiBH33Xffnj17ip6i1OGf//znb7/99nfffTe8Ep0zZ0642aHZ5u3YsePOO++M3r2g6w7qtXHxxRc/9NBD+xTUdBy8a6PCs0MlXFwo6cUXXxw2bNiaNWtyN3v16rV79+7cdtjo3bt3+f05O3fuXLlyZXh9OW3atKJnKXX4m2++efzxx+c+CRE2Nm7c2KHZ5uQOHzhw4Msvv1zho6YSB/XaePrpp88444zcp3Y0WIk7qNdGhWeHSri4UNzy5cvr6+tXrFiR39PRV6KF1q9fX/gKtfADpKUOHz9+/C233JL/LEW4WfTwUrPNe++99+64446zzz67wyGghIN9bZxyyinPPfdc/pDOBYGiDva1Uers0AkuLhSxePHiIUOGrFq1qnBnRz9LUWjDhg2DBg0qeq5Sh/ft27fCz1IUnW2hcHjRz2bRCT1gbRzSTtlHTKV6wNqo8OxQCVcWYvPnzw+v6lavXh3tX7BgQdE/2ym1f9KkSU1NTbt27Wpubg6vI6dOnVr0dKUODxfQOXPm5F6J3nrrrUWvv2Vme80114Tz7t69+4033rjxxht9BisRPWNtFNJdJaVnrI0Kzw6VcHEh1v71fUtLy762L56ZPn167gtmZs6cWfh9NkX3L1myZOTIkX369GloaJg9e3Zra2vR05U6fO3atZ/73Of+p81FF130yiuvdGi2ubMffvjhQ4cOnTJlyttvv51slLKpZ6yN6D5dDwv7esraqPDsUAkXFwCAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEiYBgsAIGEaLACAhGmwAAASpsECAEjY/wKGIP2idipdKwAAAABJRU5ErkJggg==)
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