Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit321-11-20020729_070900_20020729_115400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/29 |
Start Time | | 2002/07/29 07:09 |
End Time | | 2002/07/29 11:52 |
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 | | -16.38 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 241.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit321-11-20020729_070900_20020729_115400-constBx0 |
Minimum Dst Value | | -14 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAVGh1IEZlYiAxNCAxMDowMzowMCBFU1QgMjAxOf0u/vQAAAHKdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMjEtMTItMjAwMjA3MjlfMTE1NTAwXzIwMDIwNzI5XzE2MzgwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIElNUC04IHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTA3LTI5VDExOjU1OjAwLjAwMFoiLCAibWF4IjoiMjAwMi0wNy0yOVQxNjozNjowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcyMiwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjMuNzQ2NDk5OTk5NSwgIm1heCI6Ni4xMDkzMDAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19ypBBswAAAARnQU1BAACvyDcFiukAACMySURBVHic7d1/cBT1/fhxBDQR23wucDUmEgRTrHZCqowyYOJvQMXir7Y2CASUWlokY9oKiY1AaSu0ncKIgwZLY8cZ8Ad2lNGKHcdKO1ArE8vQpgbxJyG2QIJERM0PQ/i+Jjvf9bz9cXfJ5nhnX8/HH8ze3t7uvt6v3X299nLcDToOAACAQA060TsAAAAQNjRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwGiwAAICA0WABAAAEjAYLAAAgYDRYAAAAAaPBAgAACBgNFgAAQMBosAAAAAJGgwUAABAwpQ3WoEFKAweAvuiPi+crr7wyduzYhGvuj01TC9B/lB5bXicVJxsA+OiPi2RJScnTTz99QjbNNd/COPQHpWOa6q3S888/f+mll2ZkZOTm5s6ZM+fAgQPW/BdeeOHKK6/MzMyU+fPmzTt06FDsGiwJN+RczGe1ySzW3d29ePHiSCSSnZ1dVVUlD/3np7qeQV+UlZXlv57W1taysrLhw4dHo9Fly5b5D4jP0LnOj9uZhPNTHRxGXuzatWvq1KmnnXZaXl5ebW2tNdPrpHjnnXe++c1vRnrIhDwMcOT7g9cRddJJJ+Xk5JSWljY1Nfm8vBf7v3///gULFowePfrkk0+WV11zzTUymK47EzdTJr7+9a/HbkKmzzvvvNgF7Kd279598803S/ZPOeWUCy+88KmnnrLmf/jhh7KfY8eOPfXUU2XrN9xww0svvZRwn5070+sFnORIbm9v7/ume6FfG4uUEmeRQ07OWa9rvtfJ5brRNKAt86d0dFK9RlxxxRVygyXl6qOPPlq+fLkUM2v+lClTtmzZcvTo0YMHD86fP/+6665LdUOuiyVcrf9i69atGz9+/Ls9ZGL9+vX+81NdT6zVq1fffffd/uuZO3euVKkDPW655ZZHHnmkF2PiNT/JxWypDo4rVSO/Z8+e/Pz8DRs2HD58uLGxccaMGdZ8r5Ni0qRJ1dXVrT3uueceeRjgyPcHryPq2LFj//3vf3/yk5+UlJT4vDzV/X///ffPOussWW1DQ8Onn34qpfS55567+uqrXXcmbqZMSKv07LPP2k8988wzMsfZYL355ptSqn/7299KyqR3efXVV7/1rW9ZT8m27rjjDlmgo6Ojubn5ySefvOyyy/z32XVner1Ar18yoBusJBMnh8d3vvOdW2+91XWFXieX60bTgAbLX9hGRy4ld911V04PmbDviuQ4kII0cuRIuSu1Hv76178+/fTT5fbuzjvvlAuNvdjxL75P4NyElLFhw4Y550uZkVv8uJl9v3C4rtZ/MTnrpNxa0zJRXFzsPz/V9dhk3MaMGSNXBP/1jBgxQgq/NS2V3r9c2fqpwerL4LgK/chLR7V27Vr/l8SeFDIh+2BNHzlyxJ7fx5H/7LPPlixZMmrUKLl3l77BmulzvtfU1Egfk5mZOXHixPr6emv+Sy+9dMEFF8hMecrqhJwne1z4H3744amnnioTP/jBD2I71NraWpnjv/+uB+Htt98updFrJBM2WJs2bYrdhET31FNPOXdeKvQvf/lL101IOBKU1w7EbtTnInncY/D9L56pvsR53XZNq9dhEEvuE6TFlFiysrJuuummlpaWZMLx36gcALJCWV4GKqjECTln5cx1ru2498kVu0Xn8Rw7hgnHQe4rfvGLX4wePTo7O/u22277+OOPrfnOE9C5rWTq7yWXXPL444/bOyw3ALm5uckckANR2BosOQImT57c1EPusJcuXWrNlwTfcMMNcj9qP5TF3u8hEz/72c/s+XETceRoW7lypetbSps3b7788svjZva9wXJdrf9icubYp43cocr54D8/1fXYpETJGZhwf+RiIS+3puXa4bpdp+QbrGg0KheawsLCNWvWdHV1+c/vy+AkjDSUIy/XSjmt5CIoF+WysjK5dY5bPu6k+Pa3vy3nnVwxZcl7771XHvoHleTIS7sgcb399tuHDx+uqKiwZvqc7zfeeON7770n+7Z8+XK7sEkUf/zjH+W6L5f1efPmucYbW2n2799fWVlpvcEjHcall1765JNPyvQTTzwh052dnf7773oMyz5IkXON0eslsdcl2auxY8f+/e9/l4dbt26VaZnjvHBJ1lz/fiSuvfbaW265Zfv27Z9++qnXbhxP4iLpM/he60z1Jc7rtmtavVYbq6io6OWXX5aQ5chcuHDh9773veTDcd2oHNsykv/tMXXq1KASd9y3wfI6uVw36jqGCcdh1apVV1111bvvvisn2qxZs3784x9b811PwLhtJVN///znP5933nkSu/WUnIa/+tWvXIMNgbA1WGefffbrr79uTcutRkFBgTUtCd67d6+9mDy0F/vPf/4Tu1jcRCyrVZdburfeeivuqZ07d44ZM8Z53exjg+W1Wv/FBg8ebF36hUwMGTLEf36q67HIGXLOOec0NDQk3J/Zs2fPnDnzYA+5sR46dKh/OJaU3pqSkllXVyfXPvvM95rf68FxpWHkZetynbVWUlpaOnfu3LiF404K609g1nyZsK/sfRz5r371q/abBzaf8116I2v6k08+sd6CEvn5+Q888MC+fft84h30RXIfL5cI66kDBw7I8FZVVcm/9mfOUj1yJAuxnY3z/QbnS+Keffjhh6+//vrjPX/s+93vfudcwNpKW1ub6w4cOXJECuE3vvGNzMxMGcC7777b9f2DhBdJn8H3ij3Vlziv265p9VqtFxmBkSNHJh+O10Z3795tTcsLg0qcnC+lPVz33Ovkct2o/TB2DBOOw7nnnvvGG29Y03KQy1asadcTMG5bSdbfiy66aOPGjcd7/pAtOyCj6rp7IRC2BksuGfZlRSbkoTUtCY79gKE89FosbiKOHJHLli275JJLYmfK7cioUaN27NjhXN7r2u2/mNdqXV/uXKx3bxUkvx6L3MRPnz49md3+4IMPpLpLoZK76vvuu++MM85wvsoppQbL0tjY6Pr+R+z8AN/BUjLysjOxb4NFo9G45eNOCrmFveeee+yPichD/6C85scd7bGnts3nfHeN6J///OeNN944YsSIsWPH2n/X81rY2p/q6mr742VCbsplAftvlD7770Wy4HMndvLJJ8f9hUvikh4udjFZIDc397HHHpN/7b+yxa3H5x0sm1wSpXOaM2eO61vyCS+SSQ5+rFRf4rxuxz3rv9pYcqMleZRzwTqo7D441XBil7czJcsn02D5J86+V5GbIvuMizsLvE4u143aD2PHMOE4SAcZe4NhH3uuJ2DctpKsv5s3b/7a177W1dU1Y8YMueFxhhAaYWuwkrxDir05kwnnYtafq11JOYn9UJRUu7y8vNdee811YZ9rjf9i/qv1X6wXH3ZJaT2W888/f/v27anu9oMPPuj1+c04vWiwmpqapK74zw/qM1h6Rr6kpCT2g1zOBuv4F08KuUD3x2ewpCVK6R0sn4jkWv+nP/3JbjfjTva4hSUW+02LXbt2yQ33008/feaZZ9rv2KV65EhDU1VVFTfT3uh555336quvxj71j3/8Y/To0XGLrVy5cujQofbfVpwNluR6xYoV/ntikVL95S9/2Tk/4UXSa/B9Lp69eAcrmYfJvIMlMx999FG55ZC6Lv86RyzVY6kX72AdTyJx/rxOrlj+x3PCcZDW57333nOu1vUEjNtWkmMoJ+C4ceMWLVokB7b92b5QCluDJbeb9t+ApU+/9957rfnOk2Tq1KnWxwtkwvlRgK985Suxf4KZPXu2POzs7Ny3b9/ChQvtG75Vq1aNGjXKPs2cetdgJVyt/2I1NTWu/63Ja36q6zne81/0L7744iT3R27IJB1yHX/88cfz8/Pt95/9JXnNLS0tlTNZzlJJkKS+vLzcf36qg+NK1cjX1tbaf2eUUbU/++V1UkjDIeeddZP905/+1G44+jjy99133+WXX/7OO+/EfgQk+fPdmpD9lwIgR4U0WNKPWjPjTvbY1x46dGjJkiUTJ0483vNRM6kKf/vb32T62WefveCCC6y/9Pnsv+sxvHfvXtm0/b8IJZznnnvOXlL6YNnKX//61yM9tm7dWlhY+Jvf/MZnhcfd6vSbb74pHeTq1atlZNrb23fs2GH/L8LLLrvsySeflF5Zcif7PH/+/GuvvdZ1nf4XSa/BjxvPWEnmy2sAvR56rTaWjMYzzzwjQyGHkAyFc8RSPZZkefszWFdffXWSDVaqC8TxOrli+RzPx5MYh/vvv1/GQdYgp8m///3v7373u9Z81xMwblvJ51duCGXm73//e9fRCI2wxdPW1ial1PpfDDJhv13pPEms/yCTnZ39wx/+MPY/O1gTUrEikYj9cNOmTUVFRaeccopUKbkeSeNvLx/n6NGjrk957bDrYj6r9XmtvZjcH8jNgfVdKZWVlbFfOOQ6P9X1HO95V2Pz5s1J7o9UaKkocrM1ZcqUnTt3eg2F/5h4zbdSk5GRIXdLcnrbGfean+rgJLOHoR95Ka7RaFROFmmq7A+5e50UUtqvueaa/+shFejtt98OZOSlG5CKMnLkSNkN6Rusmcmf79aENJpyg56ZmSnt0csvv2zNjDvZY0dg+PDh119/vRVCWVmZ9bkZi+yD1Wv67P8gjxO/sbHx9ttvl9QMHTp0xIgRN9100yuvvGKPxh/+8IcLL7zQGkCZePTRRxOucJBbnZbKJ2uWvZIcXXTRRfb3YP3lL3+R+TKMMg5jxoy588477dzFrdP/Iuk1+HHjGSvJfHnF6/XQa7Wx5M5EUn/yySfLrcgDDzzgHLFUjyVZ4Pvf/74MjgzRz3/+c1mzz/6nlDgfXidXLOfxHPtswnE4duyYzD/33HPl4im9vn21cT0B47aVfH7laBw7duxnn33mOhqhEbZ4AAB9F75q13/+9a9/Sat6ovei97q6upL8HzBBmT59+mOPPZbOLZ4QnEIAgHg0WAlVVFTs379/7969V1111Y9+9KMTvTu9V1dXZ/9vwf527Nixhx9+eNy4cfY3NYQYpxBODOdftQy8oA+InUxVKINC4DgqErr//vtHjhx5+umn33HHHQP6uwa+9KUvPfTQQ+nZlhxXo0ePlpYuPZs7sTiFAAAAAkaDBQAAEDAaLAAAgIDRYAEAAASMBgsAACBgNFgAAAAB09Jguf7XdAAAkGYnuiNIkzDHqTOjAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjg2Kc9euXVOnTj3ttNPy8vJqa2udC3R3dy9evDgSiWRnZ1dVVcnD5FeuJ6MAABhLTzk2Jc49e/bk5+dv2LDh8OHDjY2NM2bMcC6zbt268ePHv9tDJtavX5/8+vVkFAAAY+kpx6bEKR3V2rVr/ZeZNGnSli1brGmZKC4uTn79ejIKAICx9JRjU+LMyclZsmRJbm7u8OHDy8rKWltbnctkZWW1tLRY083NzZFIJPn168koAADG0lOOTYlzyJAhs2bNOtijtLR07ty5zmUGDx7c2dlpTcuEvCRuAb7ZDAAAk+kpx6bEmZWV1dzcbE1LjxWNRl2X4R0sAAAGLj3l2JQ4S0pKpK+ypg8cOODaYPEZLAAABjQ95diUOGtra2fOnGn/ifC2226zn7KTUVNTw/8iBABg4NJTjg2Kc+nSpdFoNDs7e/bs2bEfcreT0d3dvWjRokiPyspKvgcLAICBRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjsMcJ9+DBQCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzkOc5x8TQMAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjMMfJ92ABAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085DnOcfA8WAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUY1PiTObzUn35TJWejAIAYCw95diUOJMZ8b5kRU9GAQAwlp5ybEqcNFgAAISennJsSpwy4tFodNiwYYWFhWvWrOnq6urdMj7rD25nAQBAb+gpx2bF2d7eXldXV1xcXFFR0YtlBvnq530HAAAJ6CnHJsbZ2NgYiUT6vkwsPRkFAMBYesqxiXE2NTXl5OT0fZlYejIKAICx9JRjU+IsLS2tr6/v6OhoaGiYPHlyeXm5/ZSdDJ9lEtKTUQAAjKWnHJsS56ZNm4qKijIyMgoKCqqrq9va2uyn7GT4LJOQnowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjsMcJ1/TAACAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjMcfI9WAAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47DHCffgwUAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4zHHyPVgAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUY1PiTObPed3d3YsXL45EItnZ2VVVVfIwpfUHtKcAAKCX9JTj4ONsa2u79957CwoKMjMz5d+lS5e2t7cn3o8kRnzdunXjx49/t4dMrF+/Pvm90pNRAACMpaccBx9neXn5lVdeWV9fL52W/HvFFVfcddddifcjiRGfNGnSli1brGmZKC4uTn6v9GQUAABj6SnHwceZk5PT1NRkP5RpmZN4PwYNikajw4YNKywsXLNmTVdXl3OZrKyslpYWa7q5uTkSiSS/V3oyCgCAsfSUY1MaLEt7e3tdXV1xcXFFRYXz2cGDB3d2dlrTMjFkyJC4BQb56lU0AAAgMHrKcb/8iXDy5Mmvv/56W1ub/CvTyfyJMFZjY6Pru1O8gwUAwICmpxz3y4fcq6urzz777MzMTPl3yZIlyXzIPZbXm158BgsAgAFNTzk2Jc7S0tL6+vqOjo6GhobJkyeXl5fbT9nJqKmp4X8RAgAwcOkpx6bEuWnTpqKiooyMjIKCgurq6ra2NvspOxnd3d2LFi2K9KisrOR7sAAAGFj0lOPg46yvry8uLj711FON+oC5CfsAAIByespx8HFOnDhx+fLln3zySeBr7gs9GQUAwFh6ynHwcWZmZn788ceBr7aP9GQUAABj6SnHwcd51llnvffee4Gvthf4HiwAAIyipxwHH+dDDz1044037t+/P/A194WejAIAYCw95TiYOP2/Qt2E0TRhHwAAUE5POVYTp5qMAgBgLD3lOPg4TzrppMDX2Xd6MgoAgLH0lOPg4zzzzDP/97//Bb7aPtKTUQAAjKWnHAcf5+rVq2+++ea9e/em9E3r/U1PRgEAMJaechx8nHzIHQAAuNJTjsMcp2lNHgAAyukpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynGY4+R7sAAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHYY6Tr2kAAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ybFacLS0t+fn5XqPfl89U6ckoAADG0lOOzYpzwYIFK1as8Gmwer1mPRkFAMBYesqxQXE2NDQUFBS0tbXRYAEAEEp6yrFBcU6bNm3jxo3HvUdf5kej0WHDhhUWFq5Zs6arqyv5levJKAAAxtJTjk2J88UXX5wwYUJ3d/fxRKPf3t5eV1dXXFxcUVER99QgX/249wAAIAl6yrEpcY4bN27btm3WdDKj39jYGIlEkl+/nowCAGAsPeXYlDhTfcOpqakpJycnpfX3bQcBAEBf6SnHJsYZN/r2w9LS0vr6+o6OjoaGhsmTJ5eXl/d6nQAAIP30lGMT4/RqsDZt2lRUVJSRkVFQUFBdXd3W1tbrdQIAgPTTU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjMMfJ92ABAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085DnOcfA8WAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjMcfI1DQAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47DHCffgwUAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeXYrDhbWlry8/O9Rr+7u3vx4sWRSCQ7O7uqqkoeJr9mPRkFAMBYesqxWXEuWLBgxYoVXqO/bt268ePHv9tDJtavX5/8mvVkFAAAY+kpxwbF2dDQUFBQ0NbW5jX6kyZN2rJlizUtE8XFxcmvXE9GAQAwlp5ybFCc06ZN27hx43Hv0c/KymppabGmm5ubI5FI8ivXk1EAAIylpxybEueLL744YcIE62NVXqM/ePDgzs5Oa1omhgwZErfAIF/9uv8AACAhPeXYlDjHjRu3bds2a5p3sAAACCU95diUOJN5w4nPYAEAMKDpKccmxhk3+vbDmpoa/hchAAADl55ybGKcXg1Wd3f3okWLIj0qKyv5HiwAAAYWPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085DnOcfA8WAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjMcfI1DQAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTJwAAMMCJ7gjSREucyUhP1tN2bIUpHAbN5A2FaStp21CYtpK2DRGOsVtJ54YGEEbkcxzuyreStg0RjrFbSduGwrSVtG2IcIzdSjo3NIAwIp/jcFe+lbRtiHCM3UraNhSmraRtQ4Rj7FbSuaEBhBH5HIe78q2kbUOEY+xW0rahMG0lbRsiHGO3ks4NDSCMyOc4PoxFakxGdoxFakxGdkKPBH+Ow91YpMZkZMdYpMZkZCf0SPDnONyNRWpMRnaMRWpMRnZCjwR/jsPdWKTGZGTHWKTGZGQn9Ejw5zjcjUVqTEZ2jEVqTEZ2Qo8EAwAABIwGCwAAIGA0WAAAAAGjwQIAAAgYDRYAAEDAaLAAAAACRoMFAAAQsDA3WIP+v9iZL7zwwpVXXpmZmZmbmztv3rxDhw45X9jd3b148eJIJJKdnV1VVSUP/ecjVa6pef755y+99NKMjAxJzZw5cw4cOOB8IalJA9fsWFpaWvLz872+v4fs9DfX1Az6ItcXkpo08ErBrl27pk6detppp+Xl5dXW1jpfSHbCKswNliXucJ8yZcqWLVuOHj168ODB+fPnX3fddc6XrFu3bvz48e/2kIn169f7z0fvxKXmiiuuePrpp1tbWz/66KPly5dLH+x8CalJG9dSvWDBghUrVnhVcbKTHs4GK+FLSE3axKVjz549ck+yYcOGw4cPNzY2zpgxw/kSshNW6hqsWFLI5a7CueSkSZOkCbOmZaK4uNh/PnrHJzXSAQ8bNsy5JKlJG2d2GhoaCgoK2travAo82UmP5BssUpN+cemQjmrt2rX+S5KdsFLdYG3evPnyyy93LpmVldXS0mJNNzc3RyIR//noHa/UfPzxxytXrox9c5HUpJ8zO9OmTdu4caPzKbKTZs7xj0ajckNSWFi4Zs2arq4u55KkJm3ispOTk7NkyZLc3Nzhw4eXlZW1trY6lyQ7YaW3wdq5c+eYMWP27NnjfGrw4MGdnZ3WtEwMGTLEfz56xzU11ocYTj/99Lfeesv5LKlJm7jsvPjiixMmTLA+BeJ1TpGd9HAd//b29rq6uuLi4oqKCuezpCZt4rIjQzpr1qyDPUpLS+fOnet8CdkJK6UN1tatW0eNGrVjxw7Xl3A/kR5edfrIkSPLli275JJLnE+RmrSJy864ceO2bdvm+pSN7KSHz7vyjY2NrsNLatImLjsywjKw1rT0WNFo1PkSshNWGhusJ554Ii8v77XXXvN6CX8RTw+fOiE9VuzH42ykJm38/6uaa+7ITnr4nDhNTU05OTnO+aQmbeKyU1JSIn2VNX3gwAHXBovshJW6BmvVqlWjRo3avXu3z5I1NTWu/3fDaz56Jy41s2fPbmho6Ozs3Ldv38KFC10/g0Vq0iaZj07HPSQ76RE3/qWlpfX19R0dHXL6TJ48uby83LkkqUmbuOzU1tbOnDnT/hPhbbfd5lyS7IRVmBss1xtu54340aNH7aesie7u7kWLFkV6VFZWxn4riet8pMo1NZs2bSoqKjrllFPy8/Pnz5//wQcfxC5vTZCaNEj4TpVXg0V2+pvPiZORkVFQUFBdXd3W1ha7vDVBatLA68RZunRpNBrNzs6We0jXD7mTnbAKc4MFAABwQtBgAQAABIwGCwAAIGA0WAAAAAELbYPl9aPOqf6sZjI/Du3z8riPPWZlZaW0t62trWVlZcOHD49Go8uWLQtobAAAQP8KbYPl9aPOqf6sZjI/Du3z8lirV6++++67U9rbuXPnlpaWHuhxyy23PPLII30ZEwAAkB6hbbBixf6oc1++0i3ux6FjJXx5R0fHmDFj3n///ZT2dsSIEbFfUldSUpLw5QAA4IRT0WDF/qhzX36UIO7HoWMlfPn69etjv2Iuyb2VBiv2Zxb4qQQAAAaE8DdYcT/q3Ouf1fT5ceiELz927Ng555zT0NCQ6t7Onj3b/hbgW2+9dejQoQnXAAAATriQN1jOH3Xu3TtYzvXEfV2v/8ufeOKJ6dOnx85x/Zps51Y++OAD6auys7NzcnLuu+++M844I+UhAAAAaRfmBsv1R5178RmshD8O7f9ycf7552/fvr0XexvrwQcflGbLfyUAAMAEoW2wvH7UOdWf1fT5cehkViuef/75iy++uHd7O3PmzKamptbW1scffzw/P/+NN95IGDgAADjhQttgef2oc6o/q+nz49CxfH6Vs6SkZPPmzb3b29ra2ry8vGHDhk2ZMmXnzp2BjAwAAOhvoW2wAAAAThQaLAAAgIDRYAEAAASMBgsAACBgNFgAAAABo8ECAAAIGA0WAABAwGiwAAAAAkaDBQAAEDAaLAAAgIDRYAEAAASMBgsAACBgNFgAAAABo8ECAAAIGA0WAABAwGiwAAAAAkaDBQAAEDAaLAAAgIDRYAEAAASMBgsAACBgNFgAAAABo8ECAAAIGA0WAABAwGiwAAAAAkaDBQAAEDAaLAAAgID9P6+/jU7uGEyRAAAAAElFTkSuQmCC)
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