Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Lutz_Rastaetter_041415_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 30, 2015 |
Start Time | | 2015/03/30 00:00 |
End Time | | 2015/03/31 02:00 |
Key Words | | MMS |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 0.98 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.47 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Lutz_Rastaetter_041415_1 |
Minimum Dst Value | | -25 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEp1biAyMyAwMjoyNzozNCBFRFQgMjAxNz8OIFIAAAGudEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiTHV0el9SYXN0YWV0dGVyXzA0MTQxNV8xOiBTV01GIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTEgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMTUtMDMtMzBUMDA6MDA6MDAuMDAwWiIsICJtYXgiOiIyMDE1LTAzLTMxVDAyOjAwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MS40MzQ1NTk5OTk1LCAibWF4Ijo1LjE0OTA0MDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX03zW5BAAAABGdBTUEAAK/INwWK6QAALLJJREFUeJzt3Xt0FPX9/3GyIWxIIG4kJgZJFCNWbIhCvUADCDEgF4uiHsWjKIoWL6RGKxAa5GK91B5RsZWAVG1PvWC0iK1Apa3+oXIOJ0qtKUEUgRAtl4ARgl0IMfl9Tubb+Y2fuWQ2mWRmZ56PP3JmZ2c+89n3Z7Lz2tnZ3R6tAAAAcFQPtzsAAADgNwQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAB4V48ezj9Hbdq0adCgQe223BWb7oo2AXgT/+0AvKsrEsnIkSPXrFnjyqYJWA6imPA4dtDAielZqcNPYT3+p1+/fpMnT/7ss8861kjHtm64uoNPxy0tLXPnzo1EIunp6WVlZeKm9t76+vqcnBz91hX61uwv3+P72u2n/SWFb775RjyWQYMG9e7dWzyuK6644u9///uBAwcyMzOPHTumLnbllVeq09Fo9JRTThHLiE2ce+652jqI6cGDB6ubjrXn2ofQyQX00tLStI/IwZZdaVNr7969d9111xlnnJGUlCQGccKECevWrVPvra6unjhxYp82YuKTTz7RdsxwjAz3CrOtm41vu+PenVGJWIZuw64WON0WsJSJgwcPPvDAAyNGjOhMI53sgyOtaa1YsWLYsGE724iJVatWae8VR7hHHnnEcHOGM+0v37GHYHOtyy677PbbbxdR+Pjx4yIzvfrqq5dccomYL46plZWVyjKHDh0KhUIiESo3X375ZXGvsokLLrjgz3/+s9raG2+8IeZoA1YHem5nxQ60bHOVuAtYX3755emnn/7zn/+8pqbmv//9r/jX+8tf/iKGVbn3888/F2l46dKle9s88cQT4qaYad0xs73CgllTBCwEDbta4Ng/kOtfzto/D6G998iRI+LlrzK9ffv2q6+++uSTT05LS5s6dap6qBYvi4cOHZqcnCyOEEpe0W/IbN3vvvvul7/8pXjVLl5h33LLLUePHtWvrm/NcC1lSXHsGTBgQEJCgtmjE3lx/fr1yrSYKCwsVO8Sx7a8vLxoNGozYMW0vFMBy7AdMUbffPONfr6ISpdffrkyLQ7YYt0333xTuTl+/Hhxr9KgCGHaOgwfPvy1116zH7DEAo899lhmZqYY37vvvlsczqUVjx07ds8992S1ERPKKSjrvTHWVaShFzcrKirEDil2S/FwqqurLZqVmO2r1g/HeqN33HGHaFAsLwpl+HhvvfXW+fPnm1X4hhtuWLRokXbOwoULb7zxRqljErO9wkKsAcvweUY7EO0W0+x/+cSJE+LVXW5ubiQSefzxxw23ZTEQah9GjRr1yiuvqB2ura3Nzs6OtSwIIAJW4MR0IDd7Tnz22WfVg671Vg4dOrRgwYKLLrpIuVlQUPDOO++Il9fi6Wn27Nm33XabMl88Yb3++uvi2U08ec2cOdNw62brihfll1566c6dO7/++mtxwLjvvvusH1S7a11xxRVfffWVxaMTT/Tqs7x4WS+evtW7Jk2a9NJLL+k3Z9iHWJcXNzMyMlJSUvLz85ctW9bc3GzRSYuNGm5r4sSJ11577fvvvy8qrJ3f1NQkRmf//v1iuqysTISquXPntradLzn11FPFvUqD4iA3aNCgDz74QNx89913xbSYE1PAKi4u/rKNmFi8eLG0ojhSivl1bcaOHSvCQbstx7qKNPTi5pVXXrlr1y5xwF6yZIkaH82a1TLbV+08HMONin8iMUBftRFDYPgQxDCJLGJWDREgduzYoZ0jbooRtK6J2V5hIdaApb9LGoh2i2n2v/zQQw+NGTNGPEwxv7S01HBbFgOh9uGvf/3r4MGDxf6s3CWeoH71q1/ZrAaCjIAVOJ0PWH/729+GDh165MgR662oxPO+OGDolzl8+LB4gahM5+TkPP3003v27Gm3q/p1zznnnE8//VSZ3rdvn3j1b/2g2l1r9+7dFg9NCIVCSrBobcsfiYmJyvTGjRtFlFQuRbJT51iXV4gYWlVVJQ696jHDms3zXqKk4mBz3nnnJScnn3nmmffff7/6Gl28sn/yySfFhHgpv2nTJuWo/8gjj4j52k2sXLlyypQprW3vK4kI3vr9Hcn6bJOYuXXrVmX63//+d15entR50SV1gerqav0CerGuIg29uLl3715l+ttvv1XPwpo1a0a7r9p5OGYb3bZtmzItVjR8CD179tTGIKnaYi+NRqPa5cXCYhVpYWkti73CjCMBy+x/0LCYZv/LZ511lnoK0GxbFgOh7cOFF16ovBD67LPPRAfE0Jg9FkBFwAqcTgYs8WQ0aNCgdiOIsqKIDuLlo/ZDWyIZFBUVpaenK0/iajT56KOPxAv3fv36icbVd9+krZutKw5C2gODSD/WD6rdtaSL1vXMzmANGTLkvffeM9yc4cxYl9eqra3VnjmzYDNgqcTDFxHn5ptvnjx5sjLnn//85/nnn3/8+PH8/HxxU7yaFyHvBz/4gZiv3YSYKcL0yy+/LP6q78fZ7INYQD38iwlxOJdWFHOsF9CLdRVp6M32H7Nmtcz21VgfjnZ59d0rszeUTz31VP0ZLHXJzMzMDpzBUun3CrO47EjA0g5Eu8U0+1/WFtlsWxYDoe3D2rVrxQ7f3Nx8/fXXi5eCZg8E0CJgBY7h05x4WlFfk4kX0Ooy0nVI+/fvF88y77//fkxbEVFAPI8rZ7zEC8Q//OEPhw4dEk9V4q/UGfGM9tZbb6lP+tLWzdYVXTI8QyatLt00W8tOHDG7BsvsNIBZ47Eur1VXV5eVldVuV60bsdDQ0NC3b1/1pghYK1euVN69nTFjxuOPP37eeefpN/Hoo4/27NlTfQMlpoClnkgQE/bPYFlcKteBM1h2bto5g2W2r7bbiMVG2z2DJdJPWVmZ2YMSyUB/DdYNN9xguF0z0l5hqAMBSxpEacl2i2n2vyxerenPYEnbsjkQ4qlJvByaM2fOGWecoV4gCFgjYAWO4dOciAhLliw5evTozp07p0yZoi5zyimn1NTUqIsNHz7897//fQe2cs0116xYsaK17UX2G2+8IV6Lf/HFF1dffbW62LRp08TTnHjmEgGrf//+hls3W/epp54qLi4WS4rVP/nkk+uuu85wdemm2Vp2jjQVFRUWnyK0aMf+i3jDmaJK4hggOiy6LTpfUlLSblcNWzbc1iWXXPLqq6/u27evqalJPK5Zs2ZNnDhRvffJJ5/s16/fH//4RzEt9oE+ffoobxpaP66YAtb48eOVa7DEhP56qfLycvVamaKiogULFijzpWHVMlulkwHLrFkts3213UYsNqpeg3XZZZcZPoTdu3eL/x31U4Rff/218qEE5d5PP/00IyPjiSeeUD9FKG6qZ7zMamK9VxjqQMCSBlFast1imv0vP/zww2PGjBFraa/BkrZlfydZvXq1mPm73/3O5oMC2DkCx/CsiThsi/CkfIhv+fLl6rPG0qVLI5GI9hnN4nSLtBXtzbffflsEETGxbt068XIzKSkpNzf36aefVhd75ZVXxHzRgaFDh77zzjuGWzdb97vvvhM3zznnnHA4LF5lrl271nB16abZWnaeMcXLWfFaNtJm3rx5hm8pWp+s6tjylZWVBQUFosPidbY4MOjf/tC3abhRww784x//mDp1anp6uhiFgQMH3n333YcOHVLvPXDggKi8OAiJ6V27dolpMce6wdYYA5byKULRgTvvvFP7YS5lQjxYESiVT3uJCfWxS8OqZbZKJwOWWbNaZvtqu41YbPSnP/2pKI4o0YMPPihaNnwItbW1t956q4hZPXv2FIFYDOimTZvUe//1r39NmDAhtY1IaR9//LF2Q4Z7i/VeoS+g2f5mvfPrn2diKqbZ/7IIhb/4xS8GDBgg+i8CpeG27O8kr7322qBBg06cOCE9ZLNqAOwcANzHgco+kZNE1nG7Fy5rbm5Wr9DvHj/5yU9efvnl7twi4h1PagDcR8BqV2lp6d69e3fv3n3ppZfee++9bnfHZVVVVeqnBbvad999t3LlyiFDhqjf1ADYwZMaOkX/zoKfjpRx8ejiopPtisc+d7OnnnpqwIABmZmZt99+O18T0KdPn+XLl3fPtsTOecYZZ4hI1z2bg2/wpAYAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAw4ISsAw/yg4AAJzi9qHeW4JSDgYeAICuw3FWEpRyMPAAAHQdjrMSP5eDU5cAAHQPjrMSr5TDThhqaWmZO3duJBJJT08vKysTN2Nq36GeAgAAGcdZiVfKYWdgVqxYMWzYsJ1txMSqVaucbR8AAHQMx1mJV8phZ2BGjBixfv16ZVpMFBYWOts+AADoGI6zEq+UQwxMRkZGSkpKfn7+smXLmpub9cukpaXV19cr0wcOHIhEIjG1f+LECWf6CgAAvo+AJfFWOY4dO1ZVVVVYWFhaWqq/NxQKNTU1KdNiIjExUVrA+vs5+vfvv3fv3i5/DAAABA8BS+LFctTW1hqenerkGSzh/vvvd6aLAABAg4Al8WI56urqsrKy9PM7eQ0WAQsAgC5CwJJ4pRzTpk2rrq4+fvx4TU1NcXFxSUmJepc6ZhUVFZ35FKFw1VVXOdxvAABAwNLxSjkqKysLCgrC4XBeXl55eXk0GlXvUsespaVlzpw5kTbz5s2L9XuwhJ/97GcO9xsAABCwdPxcDv117ldeeaXbnQIAwIcIWJKglEMJWDNnznS7IwAA+BABSxKUcnAGCwCArkPAkgSlHErAuv76693uCAAAPkTAkgSlHErAmjJlitsdAQDAhwhYEj+XQ3+R+9SpU93uFAAAPkTAkgSlHErAGj9+vNsdAQDAhwhYkqCUQwlYl19+udsdAQDAhwhYkqCUQwlYI0eOdLsjAAD4EAFLEpRyKAFr3LhxbncEAAAfImBJ/FwO/UXuw4cPd7tTAAD4EAFLEpRyKAHrwgsvdLsjAAD4EAFLEpRyKAHrggsucLsjAAD4EAFLEpRyKAHr3HPPdbsjAAD4EAFLEpRyKAHrhz/8odsdAQDAhwhYEm+Vo76+Picnx2yQpCvW221Nf5H74MGDne4yAAAgYMm8VY677rrrkUcesQhYHW5ZCViDBg3qcAsAAMAMAUvioXLU1NTk5eVFo9GuC1gDBw7scAsAAMAMAUvioXJMmjTppZdeajUfJDE/IyMjJSUlPz9/2bJlzc3N9htXAlZubq4zfQUAABoELIlXyrFx48aLLrqopaWltb1BOnbsWFVVVWFhYWlpqXSX/qIrSf/+/bvwMQAAEFQELIlXyjFkyJD33ntPmbYzSLW1tZFIxH77SsDKzs7uYP8AAIA5ApbEK+XQn22yXr6uri4rKyvW9jMzMzvXTQAAYICAJfFiOaRBUm9Omzaturr6+PHjNTU1xcXFJSUlMbUppKenO9lRAADQhoAl8WI5zAJWZWVlQUFBOBzOy8srLy+PRqMxtSmkpaU52VEAANCGgCXxczn0bzumpqa63SkAAHyIgCUJSjmUgBUOh93uCAAAPkTAkgSlHErASkxMdLsjAAD4EAFLEpRyKAErISHB7Y4AAOBDBCxJUMqhBqyYLo0HAAB2ELAkfi6H4Ze519fXu90vAAD8hoAlCUo51IC1Y8cOt/sCAIDfELAkQSmHGrA2bdrkdl8AAPAbApYkKOVQA9b69evd7gsAAH5DwJIEpRxqwHruuefc7gsAAH5DwJL4uRyGF7kvXrzY7X4BAOA3BCxJUMqhBqwrrrjC7b4AAOA3BCxJUMqhBqwLLrjA7b4AAOA3BCxJUMqhBqz8/Hy3+wIAgN8QsCRBKYcasM4++2y3+wIAgN8QsCR+LofhRe4DBw50u18AAPgNAUvirXLU19fn5OSYDVJLS8vcuXMjkUh6enpZWZm4ab9lNWBlZ2c71FkAAPB/CFgSb5XjrrvueuSRR8wGacWKFcOGDdvZRkysWrXKfstqwMrMzHSoswAA4P8QsCQeKkdNTU1eXl40GjUbpBEjRqjfwy4mCgsL7TeuBqyTTz7Zgb4CAAANApbEQ+WYNGnSSy+91Go+SGlpafX19cr0gQMHIpGI/cbVgCUa6XxXAQCAFgFL4pVybNy48aKLLlIuqzIbpFAo1NTUpEyLicTERGkBw6vaJb179+7SBwIAQAARsCReKceQIUPee+89ZbpLz2D16tWrk10FAAASApbEK+XQn2rSL+PINVg9e/Z0pscAAOB/CFgSL5ZDGiT1ZkVFRWc+RZiQkCD+6t9YBAAAnUTAknixHGYBq6WlZc6cOZE28+bNi/V7sHr27Cn+hkIhJ/sKAAAIWDp+Lof0nqNyBos9AAAAx3F4lQSlHNqA9ac//cnt7gAA4CsELElQyqENWOwEAAA4i2OrJCjlUK/BUpw4ccLtHgEA4B8ELElQyqEMvBqw7r77brd7BACAfxCwJH4uh/6LtdR3CTMyMtzuHQAA/kHAkgSlHMrAn3zyyUrASkpKcrtHAAD4BwFLEpRyKAM/ZcoU9Ssb3O4RAAD+QcCSBKUcysC/8cYbfJAQAADHcWCVBKUc6sATsAAAcBwHVomfy6G/yL2VgAUAQBfgwCoJSjn0Aau+vt7dLgEA4BsELElQyqEOvPpNDVVVVe52CQAA3yBgSYJSDnXg1e9zr6iocLdLAAD4BgFLEpRyqAMfDoeVgHXnnXe62yUAAHyDgCXxczkML3Lv16+fcnPIkCHudg8AAN8gYEm8Uo5169aNHj06HA5nZ2fffPPN+/bt0y9jGJhsUpcfMWKEsnpmZqYD/QYAAAQsHa+UY+zYsWvWrGloaDhy5MiSJUuKior0y3Rm8NR1p0+frgSsvn37drg1AACgRcCSeLEcjY2NKSkp+vmOBKzHHntMCVjhcLjDrQEAAC0ClsRz5Th69Oijjz46efJk/V1i8DIyMkT2ys/PX7ZsWXNzs/1m1YFfu3atErB69uzpTI8BAAg8ApbEW+VQr476/PPPzZY5duxYVVVVYWFhaWmp4epmlGUaGhqUm6FQqAsfCQAAQULAkjhfjmg0umDBgry8vOTkZPF34cKFIhLZX/3w4cOLFi0aNWqU9WK1tbWRSMR+s9qBVwJWQkKC/dUBAIAFApbE+XKUlJQUFRVVV1eLpCX+jh079p577ompBZGxUlNTrZepq6vLysqy36Y+YLErAADgFI6qEufLIXKPSD/qTZtJaPr06TU1NU1NTXv27Jk9e7b2Gix1zKZNmyYS2/Hjx8WSxcXFIsnZ7xUBCwCArsNRVeKVgFVZWVlQUNCrV6+cnJxZs2YdOnTo/3fxf2OmLBMOh/Py8srLy6PRqP1eaQde/TnChoYG+y0AAAAzBCxJl7xFWFxcvHXrVhGAxF8xHetbhE4x+2LSUCikzPnkk09c6RgAAD5DwJJ0yUXu5eXlZ555ZnJysvj7wAMPxHSRexfRDrz6e89r1qxxsUsAAPgGAUsSlHJoB753795KwHrwwQdd7BIAAL5BwJIEpRzagU9LS1MC1owZM1zsEgAAvkHAkjhfjurq6sLCQvUskUc+r6ftw5AhQ5ReiQkXuwQAgG944VjvKc6XY/jw4UuWLPn2228dbzlWZhe5T5kyRZmTmZnpYvcAAPANApbE+XIkJycfPXrU8WY7STvwd9xxhxKw0tLSXOwSAAC+QcCSOF+O008/fdeuXY4320nagf/Nb36jBCyRBV3sEgAAvkHAkjhfjuXLl1955ZV79+51vOXO0A78+vXrlYCVlJTkYpcAAPANApbEmXL0aI8jW+lkD9VpEf6UXoVCIRe7BACAb3jhWO8pfi6HRchT5iQkJLjVNwAA/ISAJXG+HN5MLQQsAAC6DgFL4nw5TjvttP/85z+ON9tJhgGLvQEAAEdwSJU4X44nnnjiqquu2r17d0tLi+ONd5g08AkJCUrAikajbnUJAADfIGBJnC+Hdy5yt+hDKBRSZoog6ErfAADwEwKWxCvlWLdu3ejRo8PhcHZ29s0337xv3z79Mi0tLXPnzo1EIunp6WVlZTGdIZMGPikpSQlYVVVVne06AACBR8CSeKUcY8eOXbNmTUNDw5EjR5YsWVJUVKRfZsWKFcOGDdvZRkysWrXKfvvSwKs/lfjiiy92tusAAAQeAUvixXI0NjampKTo548YMWL9+vXKtJgoLCy036Y08KmpqUrAeuihhzrTVQAA0ErA0vFcOY4ePfroo49OnjxZf1daWlp9fb0yfeDAgUgkYr9ZaeCzs7OVgHXnnXd2prcAAKCVgKXjrXIooSczM/Pzzz/X3xsKhZqampRpMZGYmGi4uhntkj/+8Y+VmUOHDu2ixwIAQHAQsCSeK8fhw4cXLVo0atQo/V0OnsGaOnWqErBOO+20zvQWAAC0ErB0vFgOkbFSU1P18x28Buu+++5TAlZ6enpnugoAAFoJWDpeKcf06dNramqampr27Nkze/Zs7TVY6phVVFQ49SnCp59+WglYhkkOAADEhIAl8Uo5KisrCwoKevXqlZOTM2vWrEOHDql3qWPW0tIyZ86cSJt58+Z15nuw3nrrLSVghcNhR/oPAECQEbAkfi6HxUXuW7duVWYmJSW51T0AAHyDgCUJSjmkgT9x4oQSsEKhkFtdAgDANwhYkqCUQz/wSsBKSEhwpT8AAPgJAUsSlHKYBSx2CAAAOo/jqSQo5dAPfEJCAgELAABHcDyV+LkcFhe5t2oCVmNjoyvdAwDANwhYkqCUQz/woVBICVi1tbWudAkAAN8gYEmCUg79wCclJSkBa+PGja50CQAA3yBgSYJSDv3AJycnKwHr+eefd6VLAAD4BgFLEpRy6Ac+LS1NCVjl5eWudAkAAN8gYEn8XA7ri9yzsrKU+T/60Y9c6R4AAL5BwJIEpRz6gR89erQSsAYMGOBKlwAA8A0CliQo5dAP/HXXXacErLS0NFe6BACAbxCwJEEph37gy8vLlYCVnJzsSpcAAPANApYkKOXQD/zLL7+sBKzExERXugQAgG8QsCR+Lof1Re579+7l954BAHAEAUvilXJs2LChqKgoOTk5Ozt75syZBw8e1C9jHZisGS7fsaYAAICEg6nEK+UYN27c+vXrGxsb9+/fP2vWrMmTJ+uX6czgEbAAAOg6HEwlXizHkSNHUlNT9fO7LmCdOHGiwy0DAAAClsSL5Vi7du2YMWP088XgZWRkpKSk5OfnL1u2rLm52X6bhgOfkJCgBKwvvvii490FACDwCFgSz5Vjy5YtAwcO3L59u9kCx44dq6qqKiwsLC0tle7qYUnfVCgUUu5as2aNww8j/vXp00fUp66uzu2OAADiAAFL4q1yvPvuu7m5uZs3b253ydra2kgkYr9lw4FPSkpSAlZZWVkMvQwA9dwe/zAAADs4Xkg8VI7Vq1f379//ww8/tLNwXV1dVlaW/cYNB75v375KhhgyZIj9poJAe+avZ8+ebncHAOB1BCyJV8qxdOnS3Nzcbdu26e9Sx2zatGnV1dXHjx+vqakpLi4uKSmx377hwA8ePFjJEBkZGR3rti/17t27M9+IAQAIIA4WEq+UQ3/JVGNjo3qXMlFZWVlQUBAOh/Py8srLy6PRaEzt62dOmTJF2VZKSkrnH4JvaN8fVOzdu9ftTgEAPI2AJfFzOdo9DTN//nzlrqSkpO7vnmfpw67ht2YAAKAiYEmCUg7Dgd+wYYMSIEKhUPd3ybPUXKWeyuLXhAAA1ghYkqCUw3DgT5w4EdgAMWPGDOWxT5gwQTv/1ltvVQNWSUmJOv3aa6+51VUAgPcRsCRBKYfZwAf2Om6zN0/VK9yV0Gn9HisAAAoOE5KglIOAJdEmJ+0vBakzRdISN3v27KnOOe+889zrLwDA0wJ4JLXm53JIV2pbL1NfX9/N3XOXtjJXXHGFfv7y5cuVOXzpKACgXRwjJEEph9nAq7+W88EHH3Rzl1y0ceNGbcBSv0p08+bN+ixVXFysztywYYNLXQYAeBoBSxKUcpgNvPoW2K9//etu7pKLlixZog1Y6jX+4XDY8GSV4cIAAKgIWJKglMNs4JOTk5XccOONN3Zzl1x07bXXGr5/qt6UvrdC/dFGxWmnneZGrwEA3kXAkgSlHGYDn5GRoYSGQYMGdXOXXHTxxRdLAUu5zl29+fjjj0urSF/v7kavAQDexaFB4udyGJ6kkYwaNUq596STTurm7rmoX79+UnEWL178wgsvWNfqpptuImABAAxxaJAEpRxmA3/bbbcpiSEcDndzl1zUq1cv9YIqZaJPnz7ab2QwW1FdIGgfugQAWCNgSYJSDrOBf/bZZ5XEkJiY2M1dcpF4sMqj1ietHpa/zKguI4Jpd3YYAOBxBCxJUMphNvBbtmxRE0Y3d8lFapy6/PLLe+i8/vrr7a4YqBN+AIB2EbAkQSlHu297xXXAeuGFF0Kh0J133mlzeTVLNTY26gOWxYqRSMQH5QIAOI6AJfFzOWzmBjvBwsu03xp677332llF+5ClKlknp2eeeSbeywUA6AocFyReKceGDRuKioqSk5Ozs7Nnzpx58OBB/TItLS1z586NRCLp6ellZWXipv327QSsaDTaka67TXv5lM0TS9qQpH5RhaKhocHmunFaLgBAVyBgSbxSjnHjxq1fv76xsXH//v2zZs2aPHmyfpkVK1YMGzZsZxsxsWrVKvvt2wlYW7du7UjX3SadghIJSYlc55xzjrpMampqQpv6+vr3339ffxYqHA6LaBvT5hYtWuT4YwEAxCkClsSL5Thy5IgIBPr5I0aMECFMmRYThYWF9tu0GHj15whFgIu1q6677LLL9O/xSflJfYCKkSNHxnS6S6K2H6hvDgMAWCNgSbxYjrVr144ZM0Y/Py0tTf36pQMHDkQiEfttWgy8+v1P1157baxddZ30BesS8dAefvhhs3s79s0UIvt2Jp8BAHyJgCXxXDm2bNkycODA7du36+8KhUJNTU3KtJjQ5wOLqGEx8GpiiMef2LN+yD2+f0JL0rt37w5s8Zprrmm3pACAoOGgIPFWOd59993c3NzNmzcb3ttFZ7AKCgqUuBB33+107rnnqllH+z3shvr06SO9V1hRUdGx7aotfPDBB84+IgBAnCJgSTxUjtWrV/fv3//DDz80W6CLrsGaPn26EhdE/rDfoBeoZ6fEhCiOdcBSVunbt2/n06TaZtxVDADQRQhYEq+UY+nSpbm5udu2bdPfpY5ZRUVFV3yKcN26dWpMibXb7lKDzpAhQ1q//3Zhenq69mZlZaWD21V/aYd/JwCAgiOCxCvl0J9xaWxsVO9SJlpaWubMmRNpM2/ePKe+B0u79Q73v/utWbNG7bbyzql0vmrixInKVzN8/PHHzm66rq5O3ZDohrONAwDiUXwdQ7uBn8th+B6Z9ZInTpzotu51kv7rGE455ZRuOxWnbpp3CQEArQQsnaCUw2bAWrt2bbd1SauxsXHEiBE7duywv4raZ+3VVIsXL540aVIXdFCmvaa+GzYHAPA4DgeSoJTDeuDVs0GjR4/uti6ptGHF5smn888/3918U19fr3Zg3LhxrvQBAOAdBCxJUMphPfBqxFHPBi1fvlyd8+STTyozu+JLzHfs2CG9lZmSktLuWtrPDzrVk1jZfPsVABAEHAskfi6HFFwsljzrrLOkvCKtm5SUpP3onHZJJetIQWfgwIFijp3rk6TvprKZV9QlL7nkknYX7iKDBw9WuzF06FC3ugEA8AICliQo5bAe+GeeeUYbbqLRqD706IlspL3SXM1YF198sX6m1siRI8V8Edpav3+1uDp95plnWvR2zJgx9qNYl4opFAIAfIwDgSQo5Wh34LVBIScnx07A0lPe3ZNmShfOr1y50jBU1dTU6D8YaMgL7w8qioqK1A5fddVV7nYGAOAiApYkKOWwH7DefvttNcFI56iUTKO/akqrf//+0hwpBpn9OGBr2zdXqTeff/75drt69tlnO1KczjB7mACAQCFgSYJSDvsBS6QWdVr5NR71PJOaIQYMGKANFg899JA+MBm+e9iqO78lLdBuXrF5lqvbnHHGGZ7qDwDAFRwFJH4uh/4UkQX1Gnbt23bRaFRdQP8lVW+++aY6rb9W/dprrzXMUobuuecepZ3k5GSLjKXdinfOGCm9Un6uBwAQTAQsSVDK0e7ADx06VJ97Yt2ElH42bNhglqikNwq17Wjv0n4OUfvVU+zHAABP4cAkCUo52h34hoYGKQPF+iMwu3bt0n9lQzQaNbzoqqSkxGxD27dv1y6ZmJiozNe289FHH8XUNwAAuhQBSxKUctgZeCkDPf74405t/aSTThLxKDc3VwlJffv2bW0LZCI8nXLKKfrltZ807NH24UTtVzPw838AAK8hYEmCUg47A2/xtl330yYqibsdAwBAj8OTxM/liDWXFBcXqwsnJyd3Qw+tXXDBBfp0pb5jCACAdxCwJB4qR7tJqDMncmwur3yW0DvvwUUiEe1D9k7HAADQImBJPFcO64DVFc16X15eXk1Njdu9AADAVFwfZ7uC58pBwAIAIO5wnJV4rhzWASsjIyMlJSU/P3/ZsmXNzc2ONAsAADqJ46zEc+Vod4SOHTtWVVVVWFhYWlqqX9dCl3UZAICg4zgr8Vw5bI5QbW1tJBJxvFkAANABHGclniuHzRGqq6vLyspyvFkAANABHGclniuHfoTUOdOmTauurj5+/HhNTU1xcXFJSUlnmgUAAE7hOCvxUDnMLplSpysrKwsKCsLhcF5eXnl5eTQa7XDjAADAWQ7HgjgXoHI4NfZ+bcfBpvzajoNN+bUdB5vyWjsONuXXdhxsyq/tONiU19pxtil/CFA5vLY7eq0dB5vyazsONuXXdhxsymvtONiUX9txsCm/tuNgU15rx9mm/CFA5fDa7ui1dhxsyq/tONiUX9txsCmvteNgU35tx8Gm/NqOg015rR1nm/KHAJXDa7uj19pxsCm/tuNgU35tx8GmvNaOg035tR0Hm/JrOw425bV2nG3KHwJUDsY+7jBk8YhRizsMWTxi1LwvQCPE7hh3GLJ4xKjFHYYsHjFq3hegEWJ3jDsMWTxi1OIOQxaPGDXvC9AIsTvGHYYsHjFqcYchi0eMmvcFaITYHeMOQxaPGLW4w5DFI0bN+xghAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHBYvAaslpaWuXPnRiKR9PT0srIycdN6vlProsMsyvvxxx+PHz8+NTW1f//+zz33nP11GbJu0ON/tDM3bNhQVFSUnJycnZ09c+bMgwcP6ldk1NxiOGRffPHF5ZdfHmkjJsRN/YoMmVs4ovlSvAasFStWDBs2bGcbMbFq1Srr+U6tiw4zK+/27dtzcnJefPHFr7/+ura29vrrr7e/LkPWbaSj9bhx49avX9/Y2Lh///5Zs2ZNnjxZvwqj5i5pyEaMGFFeXt7QZv78+eKmfhWGzC0c0XwpXgOWeHYQz+/KtJgoLCy0nt+qebrpwLroPLPyikT129/+1nAVhsw7LL42+siRI6mpqfolGTV3SUOWkpIiRkqZPnz4sLipX5IhcwtHNF+K14CVlpZWX1+vTB84cCASiVjPb9Xsjh1YF51nVt6srKwHHnggOzv75JNPvummm8TLa3UVhsw7LALW2rVrx4wZo1+SUXOXNGTXXHPNwoULv/nmG/EvtmDBAnFTvyRD5haOaL4UrwErFAo1NTUp02IiMTHRer5T66LDzMorJm688cb9baZNmzZjxgz76zJk3cYsYG3ZsmXgwIHbt2/X38WouUsasi+//PL0009Xrs0SE1999ZV+FYbMLRzRfCleA1ZnMjt53xUWZRc3lWmRsTIyMmJalyHrHoYB6913383Nzd28ebPhKoyau6QhKy4unj9/vnoNlripX4UhcwtHNF+K14DVmXedecfaFWblHTlypMhVyvS+ffsMAxZD5jp9wFq9enX//v0//PBDs1UYNXdJQ9a7d2+za7BUDJlbOKL5UrwGrIqKCsPPR5jNb9U83XRgXXSeWXmfe+65G264QX2L8JZbblFXYci8QzpaL126NDc3d9u2bRZLMmru0n+KcMGCBcoZrF/84heGl0szZG7hiOZL8RqwWlpa5syZo3yny7x587Tf/GE4v1WzO3ZgXXSeRXkXLlyYkZGRnp4+ffp0w4vcGTIX9fg+w5lCY2Ojepcywai5xXDIPvvsswkTJpzUZuLEiTt27NAur0wwZG7hiOZL8RqwAAAAPIuABQAA4DACFgAAgMMIWAAAAA6L14Bl9luzFj9vafgDqIZXg+qZNbtu3brRo0eHw2HRjZtvvnnfvn2Gq5stxo9xAgD8cUQz61VgxWsVzH5rtt2ft9TvjnY2Z9bs2LFj16xZ09DQcOTIkSVLloj/EMPVzRbjxzgBAP44osXaDd/zQxW0vzXb7lerdWx3tPONbeJ/w/C7+ywW44vgAABa8XtEi7UbvueHKmh/a7bdHwfQ744ZGRli/8jPz1+2bFlzc7PhJtpt9ujRo48++qj6ssOMtBg/ZQAA0IrfI5pZrwIr7qsg/dZsuz9vaTjwx44dq6qqEim+tLTUcCvWzSpvOWdmZn7++ecWXdUvxo9xAgBUcX1Es+5VAMV3FfS/NRtr3teqra1Vl5eu1Gu32cOHDy9atGjUqFGGq5stxhksAIAi3o9odnoVKHFcBcPfmo31HWuturq6rKwsw7vsvGMtdjX1jXML2sW4BgsA0OqLI5qdXgVKvFbB7Ldm2/15S2ngp02bVl1dffz48ZqamuLi4pKSEsPNmTU7ffp0sWJTU9OePXtmz55t9o612WL8GCcAwB9HNLNeBVa8VqGHjvJbs9Y/jan/gpDKysqCgoJwOJyXl1deXh6NRg03Z9assnqvXr1ycnJmzZp16NAhw9XNFuPHOAEA/jiimfUqsIL++AEAABxHwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHDY/wNHFp0WALG9eAAAAABJRU5ErkJggg==)
| VMR Tools created by Darren De Zeeuw. |