Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit310-10-20020702_215900_20020703_024700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/02 |
Start Time | | 2002/07/02 21:59 |
End Time | | 2002/07/03 02:45 |
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 | | -30.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.23 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 153.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit310-10-20020702_215900_20020703_024700-constBx0 |
Minimum Dst Value | | -7 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAxMTozNDoxNCBFU1QgMjAxORZCFjIAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTAtMTEtMjAwMjA3MDNfMDI0ODAwXzIwMDIwNzAzXzA3MzYwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItNCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNy0wM1QwMjo0ODowMC4wMDBaIiwgIm1heCI6IjIwMDItMDctMDNUMDc6MzQ6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxLjA3NjA3OTk5OTUsICJtYXgiOjIuMTc0MzIwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfQu+U2IAAAAEZ0FNQQAAr8g3BYrpAAAhdElEQVR4nO3de3AV5fnAceQaSJsmmEITSSBSrHSEKqMMSECIgFxE0TotyF1q0yKMtOUqF0sv0HYKYx0KWJp2nAEF7GBGC3QYK+1ArQyUoaVCgyBXyyVIgKABhOT3kP399re+e3bPnnP2Dct5v58/mD2b3ffd8zy7+zzn5ITTqA4AAAChanSjDwAAACDd0GABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhu+garUaOb/ikAQMPTcfN85513OnXqFHdkHVPfqFpADYKXm/7M8Dq5OekBwIeOm2RxcfH69etvyNQ0WCFKyyfV8G76ICb6UmnDhg19+vRp0aJFXl7euHHjTp486dzS4ty+trZ2xowZ2dnZOTk5s2bNkoc+E7l391nvtGnTppKSkoyMDDmqiRMnnjlzxn92r/WJjtPos7Kysvy394meW6IHaamsrCwoKHCG6+DBgw8//HB2PVmQh8kFh8h7Teoz+O7duwcOHJiZmZmfn19WVhZi5HVQrjL7md5yyy1t27YdMWLEsWPHfHZP4vhPnDgxadKkDh06NGvWTPYaNGiQBDPmwSgrZeGrX/2qcwpZ7ty5s3MD+0f79u17/PHHW7du3bx583vvvfe1116z1p87d06Os1OnTi1btpTZH3300bfeeivuMbsPJukN3OSkunTpUupTJ0F3T+CVheTmDfFo3fdMTRPFRVumuOnDkeg9ol+/fvICq6qq6sKFCwsWLJCi6L/9ihUrunXr9kE9WVi5cmVyx+N/nAMGDNi4cWN1dfWpU6dKS0uHDh3qP7vX+kTHcVqyZMm0adP8t48bPadED9Ii5WrhwoXOcPXs2XPOnDlV9WbPni0PkwsOkfea1GvwiooKuXGvWrXq7NmzR44cGTlyZIiR18HdYFkL165d+/DDD3/wgx8UFxf77J7o8R8/frx9+/Yy7N69ez/55BPpqt98882HHnoo5sEoK2VBivQbb7xh/+j111+XNe4Ga//+/dId/vKXv5QUSO/y7rvvfv3rX7d+JHM9/fTTssHly5dPnz69du3aBx54wP+YYx5M0hskvctN12D5ZOGGN1jue6amieKiwVJENxxyEj/77LNt68mC/apIUii1oV27dvKq1Hr485//vE2bNvLC4plnnpEbjb1Z3WdfsrunkHLYqlUrZaWypZRzKZzWsiz06tXL/7BTP8ulyGVmZvrPHuSogoxjk7gVFRVJwQg+fszoOSV6kEIKVceOHWtqapzhkllkM2v5/Pnz9qSpBCcmcyKvTOo1uHRUS5cuDT5+wMh/+umn8+bNKywszM7OloplrfS53pcvXy59TEZGRo8ePfbs2WOtf+utt+655x5ZKT+yOiH3xa5cdOfOnWvZsqUsfOc73/nd735nry8rK5M1/scf8/p96qmnpOOP+Ry9dnEe27p165xTyLN77bXX3Af/5JNP/uQnP4k5hTwdeVJeB+Cc1OcmWecRfP+bZ6K7uO/bMdPqdRo4Sd8vzY08l6ysrMcee6yysjLI0/GfVE4AGVC2l0DFfL4+WfA63+yHQc5VeQ3w4x//uEOHDjk5ORMmTLh48WLMuLnFvGc6j8F9UTgHjBtMrwNzX8XuuYIU8d69e7/66qv2AUv/mpeXF+SsvilEt8GS5PXv3/9YPXmFPX/+fGu95ObRRx+V16P2Q9nseD1Z+OEPf2ivVxYUcqIsWrRIefvEvb2cdvY5J68R5WTyP+zUG6zy8vK+ffv6zx7kqIKMY5PLXi4e+2Hc7b2i55ToQYohQ4asXr267rPheuKJJyT7cslVVVXNnTtXHvqPn2jKYh5MekdemdRrcLktymUo9zu5/44dO1bi7z9+wMhLoZL4HDhw4OzZs1OnTrVW+lzvw4cPP3TokBzbggUL7I5EjuoPf/iD3LLljjxx4kR7Y+dEziJx4sSJmTNnWm/wSIfRp0+ftWvXyvKaNWtk+cqVK/7HH/P6lWOQ+hTzOXrt4rwvyVF16tTpb3/7mzzcsmWLLMsa941LsmD/WlwxePDgb3zjG9u2bfvkk0+8DqMuwE3SJ/heYya6i/u+HTOtXsM6de3a9e2335anLPeEyZMnf+tb3wr+dGJOKncVieSH9QYOHBjzKfhkIW6DFeRcXbx48YMPPvjBBx/IRTF69Ojvf//7MePmFvOeGfMwYg4YN5heBxbzKlbmClLE//SnP3Xu3FnOfOtHEp+f/exnXk/2phPdBuv2229/7733rGV5qSFNurUsuTl8+LC9mTy0N/v3v//t3ExZcLK6bHlJ9/7777t/5HzYuHFj6+YrZKFJkyb+h51ig7Vr166ioiL7ru01e9yjCjiORU7uO+64Q14J2Wv8t/eJnlOiB7l58+bu3btbn0pxhsv6RYw1qSzYt4akgxOTOZF3T+o1uOwot9RT9UaMGDF+/PgUg2P58pe/bL95YPO53qU3spY//vhj6y0oUVBQ8OKLLx49elR5Cu5nZJOX4HKLsH508uRJSdOsWbPkX/szZ4meOU2bNnV2Nu63Cty7KD996aWXHnnkkbr6X/b95je/cW9gzVJTUxPzAM6fPy817Gtf+1pGRoYEcNq0aTFf+se9SfoE3+u5J7qL+74dM61ew3qRCLRr1y740/GadN++fday7BjzKfhkIW6DFeRcvfPOO//zn/9Yy3JCyo3O3swZN4XXPdNnIp8BYwbT68BiXsXKXAGL+H333Wf1iPv375cDkNR4Pd+bTnQbLLll2Ce0LMhDa1ly4/xkqDz02kxZUMjJ9Pzzz/fu3VtZH/AdLOVm6rW71/qYu8ur2MLCwu3bt8ed3f+tguDjWORF/LBhw4I8a5tX9IIP4j7ILl26bN261Vp2RkZeA82ePdv+DJY89B8/iXewjIq8e1KvwWUc2d1alh4rNzfXf/yAF4vz0rb5XO/OzeyH//jHP4YPH37rrbd26tTJ/r2e18bW8cyZM8f52TV5PS0b2L+j9Dl+L1/60pfc72DZkzZr1kz5DZc8L+nhnJvJBnl5ea+88or8a/+WTRnH570Tm9wSpXMaN25czLc2494kAwbfKdFd3Pdt5af+wzrt2LFD8ijtsnVS2X1wok/Hub2dKa/ftaXyDlaQc1W6PeeLAed5osTNeSl53TNjHkbMAeMG0+vAYl7FylwBi3h5eflXvvKVq1evjhw5UjrRmM/iJhXdBivgKyTnizNZcG/m9avruvpy4vwAUMzxG+wzWFL28vPzd+7cGWR2n6NKaBzL3XffvW3btuDbW2JGL+AgMQ+ykYu1Xq5wrZ/BMiryMSf1Gry4uFj6KmtZXrzaDVaKkZcyk9A7WM7NlIdym/7jH/8ojY71ULnYlY3lLLLftNi9e7e8Vl6/fv1tt91mv2OX6JkjDc2sWbOUlfaknTt3fvfdd50/+vvf/96hQwdls0WLFjVt2tT+tYi7Wj/55JMLFy70PxKLvAL5/Oc/714f9ybpFXyfm2cS72AFeRjkHSxZ+fLLL3/00UdSkuVfd8QSPZeCvIPlkwVno2a/+3LixImEzlXpMA4dOuQzuNfUMe+ZTv4XRdxgeh1YzKtYmStgIiQy0ilOnz5drg77A4LpIboNlrzctH99Ky323LlzrfXui2TgwIHWxwtkwf1RgC9+8YvO34aMGTNGHl65cuXo0aOTJ0+O+xms5cuXN8BfES5evLiwsNC+yOPO7rU+0XHq6v9E//777w+4fdzoBRnE6yCdnOGSsifZt97Beu655+yyl2hwYjIq8l6Teg1eVlY2atQo+1eE9se2Uoz8T3/60759+x48eND56Y3g17u1IMcj9265HUvRkr7WWqlc7M59z5w5M2/evB49etTVf9RMbuh//etfZfmNN9645557rN/0+Rx/zOv38OHDMrX9V4TydN588017y1//+tcyy1/+8pfz9bZs2XLXXXf94he/8BmwLlaDtX//fqnKS5YskchcunRp+/bt9t+vPfDAA2vXrpXeV3Inx1xaWjp48OCYY/rfJL2Cr8TTKWC+vALo9dBrWCeJxuuvvy6hkFNIQuGOWKLnkmxvfwbroYceivkUfLJgby+3pgULFsjZJbl45JFHEjpXX3jhBTlmWSOb/etf//rmN7/pH083ry19Loq6AMH0OrCYV7EyV/CTRF6dysrf/va3QZ7RTSS6T6CmpmbKlCnWHyDIgv1Oo/sisf5AJicn57vf/a7z7xSsBal82dnZ9sN169Z17dq1efPmBQUFcj+Snt05lPulgDTX0llb/wnTzJkzg/w/WMoribivMNzbiOrqap/ZvdYnOk5d/bsU5eXlyvF4be8TPbdED1IJiL0st7ZBgwZ9oZ7cBw8cOOA/fvCUmRZ5r0l9BpdinJubKxeXNGH2h9xTjLx0A9Iot2vXToaVimWtDH69WwuvvvqqvLbOyMiQ9ujtt9+2VioXuzMdrVu3lppnnTxjx461PvBkkWOwekef4/e6co8cOfLUU09J1WzatOmtt9762GOPvfPOO3Y0fv/73997773WqSsLL7/8ctwBG7kqXF39X4rJyHJUkqP77rvP/h+Y/vznP8t6CaPEoaio6Jlnnol5YjSKd5P0Cr4ST6eA+fJ6vl4PvYZ1khcJkvpmzZrJS5oXX3zRHbFEzyXZ4Nvf/rYER0L0ox/9SEaO+RS8smCPs2fPHungrb8WXLZsWULn6rVr1+S53HnnnS1atJC+3L5IveLp5rWl+6Jw/jRuML0OLOZVrMwV/CSRYHbq1OnTTz8N8oxuIjf9EwAA+EiDQtVg/vnPf0qreqOP4ga7evWqvGBoyBmHDRv2yiuvNOSMDYMLDwDSGQ1WXFOnTj1x4sThw4cffPDB733vezf6cG6wHTt22H8tqNu1a9deeumlLl262P9TQzrhwkOq3L8di+AN/aY4yESl5ZNC6Dgr4nrhhRfatWvXpk2bp59+Op3+m4DkfO5zn1u2bFnDzCUnZ4cOHaSla5jpGhgXHgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZKY0WDH/oB0AAITlRpf6aDElHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6q0jncPAllAAANAzqrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrCIq4di0aVNJSUlGRkZeXt7EiRPPnDnj3qa2tnbGjBnZ2dk5OTmzZs2Sh8HHJ/EAAOhDnVVEJRwDBgzYuHFjdXX1qVOnSktLhw4d6t5mxYoV3bp1+6CeLKxcuTL4+CQeAAB9qLOKKIbjwoULmZmZ7vU9e/aUJsxaloVevXoFH5PEAwCgD3VWEcVwlJeX9+3b170+KyursrLSWj59+nR2dnbwMUk8AAD6UGcVkQvHrl27ioqKKioq3D9q3LjxlStXrGVZaNKkibJBI1/aDx0AAFNRZxXRCseWLVsKCwu3b98e86e8gwUAQDRRZxURCseaNWvy8/N37tzptQGfwQIAIJqos4qohGPx4sWFhYX79u1z/8jO2fLly/krQgAAIog6q4hKONwfmaqurrZ/ZC3U1tZOnz49u97MmTP5f7AAAIgI6qzClHCQeAAA9KHOKkwJB4kHAEAf6qzClHCQeAAA9KHOKkwJB4kHAEAf6qzClHCQeAAA9KHOKkwJB4kHAEAf6qzClHCQeAAA9KHOKkwJB4kHAEAf6qzClHCQeAAA9KHOKkwJB4kHAEAf6qzClHCQeAAA9KHOKtI5HMqXG97owwEAIG1RZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxURCkfcb2U+ePDgww8/nF1PFuRhQoOHcYwAACAG6qwicuHwyVDPnj3nzJlTVW/27NnyMJRhAQBAiqizisiFwydDrVq1unDhgrV8/vx5eRjKsAAAIEXUWUXkwuGToSeeeGL+/Pnnzp2rqqqaO3euPAxlWAAAkCLqrCJy4fDJ0PHjx9u3b299TksWPvzwQ/e+PjQfOAAA5qLOKiIXDp8M9e/ff/bs2fZnsORhKMMCAIAUUWcVkQuHT4ZatmzJZ7AAAIgg6qwicuFwZ8he07Nnz7lz51rvYD333HO9evVKZVgAABAW6qwiQuHw+siUvbx///5BgwZ9od7gwYMPHDiQ0OAhHy4AAPg/1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FlFOofD69ujAQBAuKizClPCQeIBANCHOqswJRwkHgAAfaizivDDUVNTM3fu3I4dO2ZkZMi/8+fPv3TpUuizJIrEAwCgD3VWEX44pkyZUlJSsmfPHum05N9+/fo9++yzoc+SKBIPAIA+1FlF+OFo27btsWPH7IeyLGtCnyVRJB4AAH2oswoaLAAAkCrqrELLrwj79+//3nvv1dTUyL+yzK8IAQBIb9RZhZYPuc+ZM+f222/PyMiQf+fNm8eH3AEASG/UWYUp4SDxAADoQ51VmBIOEg8AgD7UWUX44dizZ0+vXr1atmwZqa+picIxAACQrqizivDD0aNHjwULFnz88ccJH0qAbmz37t0DBw7MzMzMz88vKytLaPBEjwcAAAREnVWEH46MjIyLFy8mvbtPhioqKgoKClatWnX27NkjR46MHDkylGEBAECKqLOK8MPRvn37Q4cOJb27T4ako1q6dGnowwIAgBRRZxXhh2PZsmXDhw8/ceJEcrv7ZKht27bz5s3Ly8tr3br12LFjq6qqQhkWAACkiDqrCCccjeJJaCivHzVp0mT06NGn6o0YMWL8+PEJHUaSzw0AAMRDnVVELhw+GcrKyjp9+rS1LD1Wbm5uKMMCAIAUUWcV4YfjlltuSWV3nwwVFxdLX2Utnzx5kgYLAICIoM4qwg/Hbbfd9t///jfp3d0ZsteUlZWNGjXK/hXhhAkTUhkWAACEhTqrCD8cS5Ysefzxxw8fPlxbW5vYoXh8ZMq5PH/+/Nzc3JycnDFjxvAhdwAAIoI6qwg/HNH8gHkUjgEAgHRFnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZRTqHI2rfhwgAQLqizipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzioiFI6A38pcWVlZUFCQaCJJPAAA+lBnFZELR9wMTZo0aeHChTRYAABEB3VWEblw+Gdo7969HTt2rKmpocECACA6qLOKyIXDP0NDhgxZvXp13M0SHRYAAKSCOquIXDh8MrR58+bu3bvX1tZ6bdbIl8aDBgDAbNRZReTC4ZOhLl26bN26Ne5miQ4LAABSRJ1VRC4cPhlK5U0pEg8AgD7UWUXkwuHOkNdvA1McFgAAhIU6q4hQOLzenaLBAgAg4qizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqtI53B4fbkhAAAIF3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWEaFwxP1W5k2bNpWUlGRkZOTl5U2cOPHMmTMJDR7GMQIAgBios4rIhcMnQwMGDNi4cWN1dfWpU6dKS0uHDh0ayrAAACBF1FlF5MIRMEMXLlzIzMwMfVgAAJAE6qwicuEImKHy8vK+ffuGPiwAAEgCdVYRuXAEydCuXbuKiooqKirc+/rQc7wAAIAGSxW5cMTN0JYtWwoLC7dv3x7usAAAIGnUWUXkwuGfoTVr1uTn5+/cuTPcYQEAQCqos4rIhcOdIXvN4sWLCwsL9+3bF8qwAAAgLNRZRYTC4fWRKXvZ/bGq6urq4IOHf8QAAKAedVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVaRzuHw+vZoAAAQLuqswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCUcjAACg040u9dFCOJLUAGcSUxg1RcPMwhRMwRTpOkXDzEIXFRyRSlJ6nMdMEZ0pGmYWpmAKpkjXKRpmFhqs4IhUktLjPGaK6EzRMLMwBVMwRbpO0TCz0GAFR6SSlB7nMVNEZ4qGmYUpmIIp0nWKhpmFBis4IpUkTrLoIBeRQjqig1xEB7kwEClPEldLdJCLSCEd0UEuooNcGIiUJ4mrJTrIRaSQjuggF9FBLgxEypPE1RId5CJSSEd0kIvoIBcGIuVJ4mqJDnIRKaQjOshFdJALA5FyAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoN1XW1t7YwZM7Kzs3NycmbNmiUPrfUbNmzo06dPixYt8vLyxo0bd/LkyeD7eq2HP/+4VVZWFhQUeP2PMuQidF6ha/RZCe1LOpLjE7fdu3cPHDgwMzMzPz+/rKws+L7kIjkBr4usrKzg+5KL9EODdd2KFSu6dev2QT1ZWLlypbW+X79+69evr6qqunDhwoIFC0pKSoLv67Ue/vzjNmnSpIULF3pVdHIROq/QBflfE0lHuLziVlFRIa86Vq1adfbs2SNHjowcOTL4vuQiOUHitmTJkmnTpgXfl1ykHxqs63r27Llx40ZrWRZ69erl3qa6urpVq1b2Q7vAeO0bZEy4+cRt7969HTt2rKmpUao7udDHK3Q+DRbp0MQrbtJRLV26NOYu5EKTuHG7fPlyUVHR8ePH7TXkwkA0WNdlZWVVVlZay6dPn87OzlY2uHjx4qJFi4YOHWqvsa8Wr33jjomYfOI2ZMiQ1atX17mqO7nQxyt0EvPc3Fx5yXHXXXf96le/unr1qr0L6dDEK25t27adN29eXl5e69atx44dW1VVZe9CLjSJG7eVK1dOmDDBuYZcGIgG67rGjRtfuXLFWpaFJk2aOH9q/Ta9TZs277//fvB9/ceEF6+4bd68uXv37tbnErzePiEXofMP3aVLl3bs2CEvtadOnRp8X9KRHK+4ycLo0aNP1RsxYsT48eOD70sukuMft2vXrt1xxx179+5NaF9ykX5osK6L+9Lh/Pnzzz//fO/evYPvy8uR5HjFrUuXLlu3brWWvRoschG6IKE7cuRIzPWkI1w+8ZSH1rL0WLm5uQntSy6S4B+3NWvWDBs2LNF9yUX6ocG6Lsgvv6XHyszMDL4vv1BPjs+HfuL+5Rq5CF2Q0B07dqxt27bB9yUdyfGKW3FxsfRV1vLJkydjNljkIlz+cbv77ru3bduW6L7kIv3QYF23fPnymH++MWbMmL179165cuXo0aOTJ0+O+Rksr3291sNfkLh5fQaLXITOK3QjRozYs2fP5cuX5QLp37//lClT7F1IhyZecSsrKxs1apT9K0LnR3/IhSY+cduwYcP999/v3oVcGIgG67ra2trp06dn15s5c6b9H5CsW7eua9euzZs3LygoKC0t/eijj+xd7KvFa1+v9fAXJG5eDRa5CJ3/pdGiRYuOHTvOmTOnpqbG3oV0aOITt/nz5+fm5ubk5MhrwpgfcicX4fKJW3FxcXl5uXsXcmEgGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBum7Tpk0lJSUZGRl5eXkTJ048c+aMtT7Rb+X0GkeRyheF+uwe5KupAQBAA6DBum7AgAEbN26srq4+depUaWmp/d8xJPqtnF7jKFL5olCf3YN8NTUAAGgANFgq6U7s/1A0lf8RzjmOIokvCk1o9zrXV1MDAICGRIOlKi8v79u3r7WcyncaOMdRJPFFoQnt7v5qagAA0JBosD5j165dRUVFFRUV1sOkv5VTGUeRyheFxt3d/6upAQBAA6DB+n9btmwpLCzcvn27vSa5d7Dc4yhfn5foF4UmtHud71dTAwCABkCD9b+krcnPz9+5c6dzZRKfwYo5jiKVLwqNu7vF66upAQBAA6DBum7x4sWFhYX79u1T1if6rZxe4wQcts77i0KD7O7z1dQAAKAh0WBd18ilurq6LvFv5fQaR5HEF4UG2d3nq6kBAEBDosECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyP4HoSLk4ax/ZQsAAAAASUVORK5CYII=)
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