{ "metadata": { "name": "SubChandra-Overview" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Model Parameters\n", "===\n", "---" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A variety of CO WD core/He shell mass configurations have been modeled in the pre-explosive convective phase. The tables below provide an overview of the configuration parameters of the simulations of interest." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import HTML, display\n", "displist = display_parameters('/ccs/home/ajacobs/Projects/SubChandra/Runs/inactive', 3)\n", "for item in displist:\n", " display(HTML(item))" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Model Label08025-2lev08050-2lev-hot10025-2lev
(Core, Shell) Mass [M$_\\odot$](0.8, 0.025)(0.8, 0.05)(1.0, 0.025)
T$_{\\mathrm{CO}}$ [K]1.d71.d71.d7
T$_{\\mathrm{base}}$ [K]2.5d82.5d82.d8
R$_{\\mathrm{max}}$ [cm]1.1e91.e97.5e8
anelastic_cutoff [g cm$^{-3}$]1.1d41.75d43.d4
base_cutoff_density [g cm$^{-3}$]1.d41.d41.d4
species_pred_type333
octant.true..true..true.
Levs222
" ], "output_type": "display_data", "text": [ "" ] }, { "html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Model Label10050-2lev10050-2lev-full10050-2lev-part
(Core, Shell) Mass [M$_\\odot$](1.0, 0.05)(1.0, 0.05)(1.0, 0.05)
T$_{\\mathrm{CO}}$ [K]1.d71.d71.d7
T$_{\\mathrm{base}}$ [K]2.d82.d82.d8
R$_{\\mathrm{max}}$ [cm]7.5e87.5e87.5e8
anelastic_cutoff [g cm$^{-3}$]7.d47.d47.d4
base_cutoff_density [g cm$^{-3}$]1.d41.d41.d4
species_pred_type333
octant.true..false..true.
Levs222
" ], "output_type": "display_data", "text": [ "" ] }, { "html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Model Label10100-2lev10100-2lev-cool10100-2lev-cool-alte
(Core, Shell) Mass [M$_\\odot$](1.0, 0.1)(1.0, 0.1)(1.0, 0.1)
T$_{\\mathrm{CO}}$ [K]1.d71.d71.d7
T$_{\\mathrm{base}}$ [K]2.d81.5d81.5d8
R$_{\\mathrm{max}}$ [cm]6.5e86.5e86.5e8
anelastic_cutoff [g cm$^{-3}$]1.75d51.75d52.8d5
base_cutoff_density [g cm$^{-3}$]1.d41.d41.d4
species_pred_type333
octant.true..true..true.
Levs222
" ], "output_type": "display_data", "text": [ "" ] }, { "html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Model Label10100-2lev-cool-fxcut10100-2lev-cool-fxcut210100-2lev-cool-highrhocut
(Core, Shell) Mass [M$_\\odot$](1.0, 0.1)(1.0, 0.1)(1.0, 0.1)
T$_{\\mathrm{CO}}$ [K]1.d71.d71.d7
T$_{\\mathrm{base}}$ [K]1.5d81.5d81.5d8
R$_{\\mathrm{max}}$ [cm]6.5e86.5e86.5e8
anelastic_cutoff [g cm$^{-3}$]3.6d52.8d52.8d5
base_cutoff_density [g cm$^{-3}$]1.d41.d42.d4
species_pred_type333
octant.true..true..true.
Levs222
" ], "output_type": "display_data", "text": [ "" ] }, { "html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Model Label10100-2lev-cool-lowrhocut10100-2lev-cool-nobst10100-2lev-thin
(Core, Shell) Mass [M$_\\odot$](1.0, 0.1)(1.0, 0.1)(1.0, 0.1)
T$_{\\mathrm{CO}}$ [K]1.d71.d71.d7
T$_{\\mathrm{base}}$ [K]1.5d81.5d82.d8
R$_{\\mathrm{max}}$ [cm]6.5e86.5e86.5e8
anelastic_cutoff [g cm$^{-3}$]2.8d52.8d51.75d5
base_cutoff_density [g cm$^{-3}$]5.d31.d41.d4
species_pred_type333
octant.true..true..true.
Levs222
" ], "output_type": "display_data", "text": [ "" ] }, { "html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Model Label10100-3lev11050-3lev12050-2lev
(Core, Shell) Mass [M$_\\odot$](1.0, 0.1)(1.1, 0.05)(1.2, 0.05)
T$_{\\mathrm{CO}}$ [K]1.d71.d71.d7
T$_{\\mathrm{base}}$ [K]2.d82.d82.d8
R$_{\\mathrm{max}}$ [cm]6.5e86.d85.d8
anelastic_cutoff [g cm$^{-3}$]1.75d51.125d52.d5
base_cutoff_density [g cm$^{-3}$]1.d41.d41.d4
species_pred_type333
octant.true..true..true.
Levs332
" ], "output_type": "display_data", "text": [ "" ] }, { "html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Model Label12050-2lev-cool12050-3lev
(Core, Shell) Mass [M$_\\odot$](1.2, 0.05)(1.2, 0.05)
T$_{\\mathrm{CO}}$ [K]1.d71.d7
T$_{\\mathrm{base}}$ [K]1.5d82.d8
R$_{\\mathrm{max}}$ [cm]5.d85.d8
anelastic_cutoff [g cm$^{-3}$]3.9d52.d5
base_cutoff_density [g cm$^{-3}$]1.d41.d4
species_pred_type33
octant.true..true.
Levs23
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JTOpd4s1CQy3c9/BhC/stVAjatLGwwxw5nK5O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\nw4ct8HDGDFuPNWoEc+fC5ctOV+lB27fbPuE/ZcgAixZBjx72PSIiEhA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28Vy0+AP1ruip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CLXMLvI0mJjgbt3jR4FACB3bjkoOjYWqFmTt8qI3MHsIq8VEwN8/z1QqpRjj0+eHHj9dWDIEJdO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tBS5gHoFtnFfI98ZNG5cUzXXpu8/OXrPQ7AkmTXxvW4xyV/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\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pqiKZJPoFQD9UlaEoAPrH5w4B6KuiiMgyl5UB2F6Hwx1ZpoUAbJDeANBVeb686RWGogA4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\nvGTFilrTAMDkWLFih4OidB4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qAofsAoBq+Phj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U466NgxssIft2tntQJACiG7UlgoZHcj7tTJ7uZYludZloYHSK1ZI736qm2/+ML+TnhwVN++kcdt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\ntkWWLFlQtGjRB/55UFAQihYtisKFC2PQoEEAgGrVqmHMmDFo1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} ], "prompt_number": 21 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Run Results\n", "===\n", "---" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Terminated with errors, need to fix these runs:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/08050-2lev-hot-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/10025-2lev-200-spt1']\n", "results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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bNmxAq1atnFVkIiL7HTwI5OQAb7/t7JKYsdrFAgCWLFmCYcOGITs7G/Xq1cPK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\nbvS0SA7x5P3gDffxmjVr0KRJE7Rt29a6j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} ], "prompt_number": 24 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Currently running:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/08050-3lev-200-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/08050-3lev-250-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/12025-3lev-175-spt1-newM']\n", "sim_dirs.append('/u/sciteam/ajacobs/scratch/sub_chandra/12050-3lev-175-spt1-efix')\n", "#sim_dirs.append('/u/sciteam/ajacobs/scratch/sub_chandra/12050-3lev-175-spt1-ftr')\n", "results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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xEQDw008/wcHBARcvXsSFCxewbt063Lp1Cw0bNkS3bt2QkpKCHj16oEePHvD0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kJkpmMoPJVE4MKJNr2LdPTmiJyGY9evRASkoKMjIyUFRUhMWLF2PgwIEm+yQmJmLMmDFYuXIl\nGjZseHV9v379EBcXh3PnzuHcuXOIi4tDP2bSkKe5fFmajNxzj7NHQkQV9ffflmUb7EWf+ZuVpa0f\nNMhxAWWVoVwS81rPxcnMlGWXLtq6N9+UpthEROT58vLkO6ygAFi92vrsPaIyYskLcg1795atMzUR\nWfDz88PcuXPRv39/GAwGjBw5El27dsXEiRPRo0cP3HnnnXjxxRdx/vx53HMloNaiRQssX74cwcHB\neO2113DdddcBAN588000Zq0/8jRr1wJBQaZBFCJyT1u3Ajfc4JjP0mf+ZmVJHfbcXMk4PXfO/p9/\n+bKUpChtJoW+1nNJTp2S4+CVJr1X2VA6i4iI3NTp08AddwCdOgGffuqYmT7k0fgXRK5h3z6tORIR\n2WzgwIEWWcn6eqNr164t9rWPPPIIHnnkEbuNjcjpvvhCmlYRkfs7dAh44AHHfFaDBnIBDkjpiZgY\nYMYMYNo04MAB+3/+mTMSxC7tor+sGcp//80GcUREVVFqqjR1vece4J13eCORKgVLXpBr2LePGcpE\nRFT5cnNlSl9MjLNHQkQVVVQEbNwIhIY65vPMM5QbNgRq1ZL1Z8/a//OzsqR+cmlKy1D28wPi44Ex\nY1jegoioqklOBvr0AZ56Cnj3XQaTqdIwoEyugTWUiYjIHpYvl5NoNt8jcl+XLskF8P33y/OWLR3z\nuaqGssEAvPGG1hCvZk3H1FAuS/1kQMZp3jRQKSoCCguBm2+W5+++W3njIyIi17Z5M9CvH/DBB8D4\n8c4eDXkYBpTJ+XJypCh8cLCzR0JERJ7k3Dng4YeB4cOdPRIiqojff5fl0qWSZVu9umM+NygIOHEC\nmD1bnhcUyDIgAMjPt//nlzWg3KyZZChbCypnZGiPb7gBGDKk8sZHRESua+VKYNgw4JtvtBuyRJWI\nAWVyLqMRuO8+YOBATr0gIqLKNXs20KsXMHKks0dCRBWRlAT07y+PVaatI4SHA7t3SwDZxwd46y1Z\n78gM5UaNSt/P11eOdX/8Ybnt2DHt8fffV97YiIjIDJgVFAAAIABJREFUdX35JfD448Avv0jtZCI7\nYECZnOvHH4GdO4GvvnL2SIiIyNP8+KNkZhCRe1uyROomHzokDYUcpUEDWY4eDTzyiASWAdfLUAaA\nvn2BTZss16emAiNGSBJHs2aVOz4iInI9H38MTJ4stfN79nT2aMiDMaBMzvXll5JB5u/v7JEQEZEn\nMRiAxERg8GBnj4SIKsrfXwLJrVtrdYwdRTXfS07W1jkqQ/n06bIHlHv3BrZutVx/7BjQvHnljouI\niFzT++8Ds2ZJA1v2qCI7Y0CZnCcvT4rEDxjg7JEQEZGnOXJEsvHatnX2SIiook6eBJo0ce4YHn1U\ne+yKGcphYdLk2tzOnTwOEhF5OqMRmDgRWLBAZqu0aOHsEVEVwIAyOc+aNVLvrW5dZ4+EiIg8TWIi\nEBnp7FEQUUUZjUB6OtC0qXM+PydHspFHj9bW2StD+cABoE4dIDdXntsSUA4Kkkak114LxMQAP/wg\nMzUOHAA6d678sRIRkWswGoGXXgJ++kkyk531fUlVTqkB5bi4OERERCAsLAxTp0612F5YWIiYmBhE\nRESgd+/eSE1NNdl+7Ngx1KpVCzNmzKi8UZNnWL0aiI529iiIiMgTMaBM5BkyMoBq1SRg6gz162u1\nk5XiMpS3bjUtjWGrtm0lKPzf/8pzWwLKXl7AxYvAwYPA4sXA8OHSSPCff4Dg4PKPichNVCRuMWXK\nFISFhSEiIgJr1qwp9T0ffvhhtG7dGpGRkYiMjERSUhIAID4+HnXr1r26/p133rHjT0wEuXH4n/8A\n69cDGzY477uSqqQSA8qFhYUYO3Ys4uLikJSUhCVLliAxMdFkn9mzZyM4OBjJycmYMGECxo8fb7L9\nueeewx133FH5Iyf3t2kTEBXl7FEQEZEnYkCZyDMcOQK0aePsUZgqLkP5hhuATp3K955pabL085Nm\nSoBtAWUlMhKYP18et20LrF3LgDJ5vIrELbZv345ly5YhOTkZcXFxeOKJJ1BUVFTie3p5eWH69OlI\nTExEYmIiOun+v7/pppuurn/99dcd90ugqufyZeCJJ4C//wZ++w0IDHT2iKiKKTGgnJCQgPDwcISE\nhMDX1xcxMTGIjY012WfVqlUYOXIkAGDw4MHYsmULjEYjAGD58uVo3bo1wsLC7DR8clunTkk9vIgI\nZ4+EiIg8EQPKRJ4hO9v2oKq9WQso79qlPVaN/GzxwQeyPHYMqFdPHtsaUD58GFi1Sspz3HorsHAh\n0K+f7WMhcjPljVsYDAbExsZi+PDh8PHxQUhICMLDw5GQkFDqe6qYh7ni1hNVqkuXgIcflrJGq1ez\njCg5RYkB5fT0dDRr1uzq89DQUKSnpxe7j7e3NwIDA5GZmYm8vDx88MEHmDRpUuWPmtzfxo3SjdrH\nx9kjISIiT3PypEz91p3DEJGbys4GGjRw9ihMVasmNSuLirR127fLMjxcAru2mj1blg0bSvmKP/+U\noLUtQYJWrbTmhevWAT162D4OIjdUkbhFRkYGQkNDLV6bkZFR4nu+9tpr6NChA8aNG4fCwkIAkrm8\ndetWRERE4NZbb8XOnTvt8vNSFVdUBIwYAWRmyk3E2rWdPSKqonxL2ujl5VWuNzUajZg0aRKeffZZ\nBAQElHqXTh90joqKQhTLIHi2y5dl+t1ttzl7JFSFxcfHIz4+3tnDICJ7+PtvyU4u53kMEbmQnBzX\nm8br5aVlKats4oMHgTfeAPbulayxbduA6tXL9n4ZGbLcvl3e+9lngXfekeCyN3uoE5WmvHGL8po6\ndSqCgoJw8eJFjB07Fm+//TbeeecddOvWDenp6fDz88OaNWswZMgQHDlyxOp7MAZC5XLhAnDfffL4\n55+BGjWcOx5yG/aIf5QYUA4NDUWaqucFIC0tzeQundrn2LFjCAoKgsFgQHZ2Nho1aoRt27Zh6dKl\nePHFF3HmzBl4e3vD398fTz75pMXnMIu5ClmzBujfXx7v3u3csVCVZn7iNlnVKyQi9/f118Bddzl7\nFERUGTIygJAQZ4/CkmrMpwLKycnA/7N35/FN1Pkfx18tFKoLeHBUbBFYFaElvaBIOVwUBcqlHFrc\ntSiuruIiHis/b4H1RMADUTxYXTxAKiggYDkWK7IIcooFUcQCbQGBolCOlkLm98d3e9GWljbJJOn7\n+XjkkWQymfnMNPl28pnvfL6DB8PIkdC4MXz2GTz3nBkUr6Jk13/+Y+4jIsx99+4werRKw4lUUnXy\nFqe/t6Ans9PpLHeZTf438FmdOnX461//Wvg7ol69eoXz9+jRgzp16rB3714uKrhyoBjlQOSsHTsG\nAwZAgwbw0UeVP2kpgnvyH2c85R0XF0daWhpZWVnk5+eTnJxMQkJCiXl69+7Nhx9+CMDcuXOJj4+n\nVq1aLF++nPT0dNLT07n//vt5/PHHy0wmSw1TfMTd1q3ti0NERPzP/v3w9NPmUvFbb7U7GhFxhe3b\nzeBy3qZ4HeVDh0yJiV69TK/ia6+FOXNg0yZ49dWKl3XrrfDQQ0U9zeLiTEkNJQtEKqU6eYvevXsz\nc+ZMTp48SWZmJmlpaXTo0OGMy9y3bx9grsz+9NNPifjfyaADBw4Urm/dunUcPXq0MPksUi1HjkCf\nPtCkCcyYof8P4hXO2EM5ODiYKVOm0LNnT5xOJ0lJScTGxjJ69Gjat29Pv379GDFiBElJSTgcDurX\nr8/06dM9Fbv4mkOHYPVqyMmBYmdvRUREqu3tt+G++8ylgF98YXpviIjv27fP/ID2Nk2awJ49cPnl\nRb2oC0pzhIZCSop5XM7l7oX27DH3jz1WNC0oyNwfP+7amEX8VHXyFu3atWPAgAFERkYSGBjIW2+9\nRVBQEEFBQWUuE2DIkCEcPHiQ48ePExMTw9tvvw3AjBkzCh/XqVOH6dOnE6iyNVJdhw5BQoK5iuWt\nt1QKSbxGgGXzMKQBAQEaCbWmWLQInn0Wli+3OxKRUtQWnZn2j3i1detMXf4HHoDHH9eBtp9SO1Qx\nv9xHf/yjKZl22WV2R1LSbbdBly5wxx3w6afwr3/BggXmtccfN+UuHnjADERdMGAfQGqqqbN8993m\n+Vtvmcen/90CAkwCYeFCT2yNiMv4ZTvkYtpHUmnZ2aZkaHy8ueJFx7jiIq5oh/RpFPfIySk97d13\noX9/z8ciIiL+6+RJk9AZPtwMiKUDbRH/4q09lNu3hxUrzOP1602ZigIFNZ9vvBF++AHy880gfadO\nwb33mvbq55+L3vvKK6WXv3o1TJ7s3m0QERHvtX8/XHONuU2apGNc8Tr6RIrr3XefudT46qvhp5/M\nJRoTJ0JyMgwcaHd0IiLiT77+Gg4cgCeesDsSEXG148dNMrZ+fbsjKa1zZ5g2zSSMN2woOYBewQBc\nUVFwySXmKr0rr4QhQyAtzby2dKm5nzPHJAtO16GD6Z0tIiI1T3a2qcfft68Zh6qiwV1FbKCSF+Ja\na9bAVVfBTTfB+++XfG3VKnMwLeKF1BadmfaPeCXLMpcB/ulP5hJz8Wtqhyrmd/to1y6TuM3IsDuS\n0iyrZG+xrVvhiivM4x9/NMfC331nksgzZxbN17ChSQ58+aXpgdysGRw+rGSB+A2/a4fcQPtIzujg\nQeje3RzjPv+8/j+IW6jkhXiXI0dMw/fvf5seG06nqRmXnm56mCiZLCIirrRhg0ncPPSQ3ZGIiDvs\n2weNG9sdRdkCAuDRR83juLiiZDKYx999Zx7HxJj7P/zB3N9zj+m5/P33JgndsqWSBSIiYvz+O/To\nYfIqSiaLl1NCWVzn5Zehd29ITDTPAwIgNhZatIDgYFtDExERP5ORYQYoue02qFvX7mhExB327/fO\n+skF7r/f3HfsWP48BQnlJUvMfVQUhIebsnAjRkDr1u6NUUREfMOhQyaZ3KULjB+vZLJ4vdp2ByB+\nwuk0o1t/9pndkYiIiK/LyjIJmh9/hHPPLf16Xh5cf70psTRqlOfjExHP8OYeylCU7D5ypPx52rUz\n961bw7FjcM455nloqOmhvGyZe2MUERHvd/gw9Oplrup++WUlk8UnKKEsrrFiBdSrB9HRdkciIiK+\n7qqrIDPT9M4YPbr066++anr3bdxo/veIiH/av9+7E8oAW7acOcaGDU3Hi9OTAxERpq1r0MC98YmI\niHfLyYGEBHNFy6RJSiaLz1DJC3/32WfmQPbwYfet44svTMH4u+9W4yciItV3wQWmLvL8+SWnL15s\nei4//DB88glcdpk98YmIZ3h7yQuANm2gUaMzz1PW8fGTT5Z9wkxERGqOI0egTx9zknHyZOVTxKco\noezvnn7ajBJ63nnuWf7HH8OgQeaH/z33uGcdIlKhlJQUHA4H4eHhjBs3rtTry5cvJzY2lqCgIGbP\nnl3itVq1ahETE0NMTAw33HCDp0IWKduxY6bH34MPmkH35s+HVatg9WoYONDcX3cdXHut3ZGKiLt5\ne8mL6mjfHpo3tzsKERGxy9Gj0Lev6SDx5psQqPSc+BaVvPBnCxaYH+NRUUUjTbtSVhbcfDO89poZ\nVEREbJGXl8fw4cNZsWIFISEhxMfH06NHD2IKBgICmjdvzrRp05gwYUKp95977rls2LDBkyGLlC85\n2SSQmjY1/7/69St6bepUuP129d4QqSl8oYeyiIjI2Tp2DPr3NycW33lHyWTxSfrU+rOVK2HMGFi7\nFurWhdxc1y371Cm4/HLo3VvJZBGbrV69moiICEJDQ6lduzaJiYksWLCgxDzNmzfH4XAQqIMV8XYb\nN8Jf/mIez5tnasnFxsLcufDXvyqZLFKT+HMPZRERqZlyc+GGG0zniXffhVq17I5IpEqUWfBm69aZ\nAu1VtXWrGVG6dm3Ty2vVqqotZ9Uq2LWr5LQNG+D4cVP/TURslZmZSbNmzQqfh4WFkZmZWen35+bm\n0r59e2JjY0lOTnZHiCKV99lncPHF5nFoKNx7r/l/2L+/vXGJiOf5wqB8IiIilZWbCwMGmHGu/v1v\nJZPFp6nkhbewLJg2DYYONZc75Oaa2mo33ggzZpiG5sgRM71xY/jqKzMy9Jn88IMZKATMIEZr10K3\nbmcX16lTEB8P7dqZ94NJLsfFmVqWHTue9aaKiGsFVLPHZlZWFk2aNCE9PZ1rrrmGqKgorrjiilLz\njRkzpvBxt27d6Ha27YlIRSwL8vPN4CRS46WmppKammp3GGInlbwQERF/kZcHgwdD/frwwQem45+I\nD9Mn2Fv89BMMG2ZuJ0/CHXeYhPL27SahfMst0KoV7Nlj5n/vPejSpfxaO/n5kJ5u3gPmcuFFi84c\nw5tvQp06JoaCBNXHH5v7nTvND/1Tp+DTT820v/2tetssIi4RFhZGRkZG4fOMjIwSPZZPd3oCusn/\nfqy3bNmSHj16sH79+goTyiJusW2b+R94hs+v1Bynn7gaO3asfcGI5x07ZtqDevXsjkRERKR68vMh\nMdGUIv3oIyWTxS+o5IW32L696HFGBixdCrNnw0MPQVKSSfAWJJPBXB6xfHn5y/vlF3OpcHCweR4b\nay4ZLo9lwfDhpj7lxIlF099/39T1OfdcUyt56lR44AEYMgR69qzSpoqIa8XFxZGWlkZWVhb5+fkk\nJyeTkJBQ5ryWZWFZVuHzQ4cOkZ+fD0B2djZfffUVERERHolbpJStW83/Kx1ki8ivv5reyaqbLiIi\nvuzUKbjtNnOSdMYMCAqyOyIRl1BC2VusXw833wyNGpnSEvn5podWQgJ0727madwYnE4YN848Hzu2\n/IPsFSvMj/ICbdpAZiYcPlz2/D//DGFh8OWXMHmyKa/x44/wzTcmedyqFbzxhkk6h4SYmpYi4hWC\ng4OZMmUKPXv2JCoqioEDBxIbG8vo0aP5/PPPAVizZg3NmjVj1qxZ3HXXXTgcDgA2b95MbGwsUVFR\ndO7cmZEjRxIZGWnn5khNdeiQOVl69dV2RyLiNikpKTgcDsLDwxlXcDxXTF5eHomJiTgcDjp37szO\nnTsBWLx4MbGxsURGRuJwOFhU0VVnvsqy4IsvzOOsLF2tICIivs2y4J57YPdu+OQTc0W4iJ8IsIp3\nVbMjgIAAbA7BO/ToAffdZ3oAW5Y5ezV/vnktP9/0WO7VyySQT5wwyeeC0hNl7b977oHwcNOruEB8\nPLzwAvzpT6Xnb9XK1Gn+4Qe4/XZTUgNg9GgYMwY6dTLJ5RYtYNYsU1NZxI+oLToz7R9xm+PHzUjX\nixeb5z/9BJdfbm9M4pV8vR3Ky8ujdevWrFixgpCQEOLj43n77beJiYkpnGfixIlkZGTwyiuvMGfO\nHN577z3mzp3Lpk2baNq0KY0bN2bz5s10796dPXv2lCph5Ov7iF27oHlz0zt52TIzSOfMmXZHJSJn\nwefbIQ/QPqohLAv+7//MleVLl5raySJewhXtkHooe4NTp2DNGpOkbdEC5s41g/MVCAoyPZULfjTU\nqVOy9/HixaZH8Usvwd//bhquHTvMsopr377sshcnT5q6lVOmmOfvvgvPPgujRsETT5hpY8fCo4+a\nusxKJouIiKv86U/m/9i8eeb/l5LJ4qdWr15NREQEoaGh1K5dm8TERBYsWFBinoULF5KUlARA//79\nWblyJZZlERkZSePGjQGIiIjA6XSSm5vr8W1wu927zX1IiLliLyzM3nhERESq6tlnISXFXHmjZLL4\nIRUp9AZpaebA+aKLIC7OTCsoc1Gexx83tYy7dStdyzgz0ySUmzcvOb1du6IeYMUtXWrWW2zgGx57\nrOQ8111nbiIiIq6ya5c5obpypbmKRsSPZWZmlhgwNSwsjNTU1HLnCQwMpGHDhuzbt4+QkJDCeWbN\nmkVUVBTnnHNOmespPoDq6QMber3i7cDEiTB+vH2xiEilpKamlmrLRGq8V1+FadPg66/hwgvtjkbE\nLZRQ9gY//ggFg2D1729KWTRsWPH7zj0XVq82B9sPP1w0fd48c19WD+WxY+GOO0zy+umnTW+wsWNN\nkXgRERFPevttU6JJyWSpAU4vT1EVW7Zs4ZFHHmHJkiXlzlM8oexTjh8vety1q/kRXvyKPBHxSqef\nuBo7dqx9wYh4g3ffNVePL19u8i4ifkoJZW+Qng4tW5rH9erBgAGVf29AgKnLk5dnDry/+AJq/+/P\nevplFeHhEBkJ//qXef7sszBpkhn05Pbbq78dIiIilXXqlBnpOjnZ7khEPCIsLIyMjIzC5xkZGSV6\nLBfMs2vXLpo0aYLT6SQ7O7uw1EVmZiYDBgzggw8+oGXBcaM/2bPH3I8caXp2WVb5g0+LiIh4o+Rk\nUzY0NbX0FeMifqZSNZSrOiL16tWriY6OJjo6mjZt2vD++++7Nnp/kJ5uDpqr+8PgySdNOYtatcwy\ny6qVHBho6jMfOwZXXGGmjRxpBgMMDq7e+kVERM7G4sVwwQXqgSg1RlxcHGlpaWRlZZGfn09ycjIJ\nCQkl5unduzcffvghAHPnziU+Pp7AwEB+//13+vTpwwsvvEC8v/bo373bXK3w6qvmuZLJIiLiSxYu\nhHvvNZ38WrWyOxoRtwuwKhjWrzojUufm5lK3bl0CAgLYu3cv4eHh7N27lzp16hQFUJNHOF27tqhm\n8o8/er7R2bnTjKLdrp1JRIvUYDW6LaoE7R8fdfKkudzummvsjqSkgwdh0CDo0wceesjuaMRH+EM7\n9MUXXzBq1CicTidJSUk8+uijjB49mvbt29OvXz/y8vJISkrihx9+oH79+kyfPp0WLVrwzDPP8MIL\nL3B5sUErlyxZQqNGjUos36f3UXKyuc2aZXckIlINPt0OeYj2kR/66iu48UZTfrRjR7ujEamQK9qh\nChPKy5cv58UXX2T+/PkATJgwgdzcXJ544onCebp3786LL75Iu3btcDqdhISEsG/fvhK14tLT07n2\n2mvZvn27yzfCJ+XlmYYmOtrU2FEvDBFb1di2qJK0f7yY02kStKclljh5EoKCzOOq/O3274dzzjGl\nmFzp5Em45BJzefvhwxr1WipN7VDFfHofPfMMZGfDyy/bHYmIVINPt0Meon3kZ779Fvr2hY8/9r5O\nHCLlcEU7VGEN5eqOSP3tt98ybNgw0tPTmTFjRpnr8OnRqKvqkUdg40Yzsr2SySIepxGpxW/ceac5\nMXn6lS6//lr0eMECk8QNDoZiPRzL9PvvcP755oD4/PNNfX5XWbwYevY0j5ctUzJZRIosXQoPPGB3\nFCIiIpX3/ffQv78Zp0rJZKlhKkwoV3dE6g4dOrB582a2bt1Kr1696NatG+edd16JeXx2NOqqcjrh\ns89gwwbT+0tEPE4jUotfWLXKJJPB1MYvfpb5yiuLHvfta+5r1TI9hMtz8qSpa7xwIaSlmWlPPGF6\nDrrC66+b+w0bICrKNcsUEd+Xn28uF54zx+5IREREKufnn6FXL3jlFejXz+5oRDyuwkH5zmZEaqDU\niNQFWrduzaWXXsrWrVtdEbdv++Yb+MMf9GNaRESqZ+ZMePxx2L69dMmLrCxzv2pV0bRTp868vOHD\nzX3v3kXTPvus6vEVT15/841JGB04YMo96eocESmwdy9cfLG5KkJERMTb7dkDPXrAU0/BkCF2RyNi\niwoTytUZkTojI4NT//vxunPnTn744Qcuu+wyN2yGj/noI/jzn/VjWkREqm7+fNMj4q67oEULk6hN\nSSl6/cILYccOCAkp+b7bbit7eceOwdSp5rLzAh98YJK/VbF+vanhvHq1eT55Mjz4IDRsWLXliYj/\n2r3bJJRFRES83aFDkJAAw4aZ43CRGqrChHJwcDBTpkyhZ8+eREVFMXDgQGJjYxk9ejSff/45ACNG\njGD37t04HA7Gjx/PpEmTAPjyyy+Jjo4mMjKS/v3788Ybb9CwJv+QPHkScnPNCNZ/+Yvd0YiIiK86\ncgT+8Q94801o1gwCA03CduRI0wv5xAnIyYGwMJOk6dIFHn3UvHfevLKXeffd5r57d1OaYs8e0+t5\n+nQ4evTsY3z5ZVOzOSUF0tNh1iy4/faqba+I+Lc9e6BpU7ujEBERObPcXLj+enNs/cQTdkcjYqsA\ny+bhRWvUCKc33ABz55rGx5WDHIlItdWotqgKtH+8iGXB1VebAfjeeqvoahfLgq5dYcQIU5//hhtK\n1lQGM2+rVmYAv9Nddx0kJcHQoUXTDh40PYpfeqnkYFlOp6l5Wrdu+XFecYXpDf3YYzB4sOkx/dZb\nVd5sEbVDFfPZffTGG7BpkzlJJiI+zWfbIQ/SPvJRp07BTTdB7dqmw0WtWnZHJFJlrmiHKuyhLC7y\n00/wxRcQHg4vvmh3NCIi4qsWLYLsbJN4KV46KSAAHn4Yxo83vYHvuaf0e3fvht9/Lz39p59MqYte\nvUpOv/BCuPdeU6ri2DGTWH76aXMAHRxcfoxr1kBGBtxxh3k+a5a5LFBEpCwqeSEiIt7Mssyx9aFD\n8P77SiaLoISyZ6xfb3pqxcTA5s0QH293RCIi4ovmzTO9fh991JS5OF2fPqbXxIcfmh7Kp7voIti3\nz/QETE01jwFefdXUgmvSpPR77r/f3P/f/5kyG089VfTa4cOl5x81Cjp0MOUyGjeGMWPA4YCOHc9y\nY0WkxlDJCxER8WajR8O6dWaw6jNdoSdSg6jkhSe8+CJ89x289prp7SUiXqdGtEXVoP3jBb78EgYM\ngL//Hf75z/J7Rhw5ApdcYk5mtmhR+vWAAHMgnJdnkr1Dh8If/2h6PvfoUfYyk5JMkjolxdSOy8iA\nr74ySeJ//KNovhMnzLLfecfUYm7Z0ky3LA1EK9WmdqhiPruPOnQw7VHv3nZHIiLV5LPtkAdpH/mY\nyZNh0iRYsaLszhciPsgV7ZASyp6QmAj9+sEtt9gdiYiUo0a0RdWg/eMFYmLgkUfM/5TqeP99uPXW\n0tNPnICgoLLfk54O775ryl0U+OgjmDMHPvmkaNrXX5sSGRs3Vi9GkTKoHaqYT+6jnTvNya99+8xV\nDSLi03yyHfIw7SMfkpxsSr99/XVRRwkRP6Aayr5g82aYPx+uvNLuSERExFctXGhqtt14Y/WXdfr/\no2bNYMuW8pPJYA6giyeTAdq3h7VrS06bMcMMViIiUlkbN5qeyUomi4iIN1m61Ax2vWCBkskiZaht\ndwB+74MPzEHy5ZfbHYmIiPiqt982ZS7Kqpt8tq64ApxOM1J17WocBlx+ORw8CAcOmHrJlmVOoKak\nVD9GEak53nwTWrWyOwoREZEia9fCzTfD7NkQFWV3NCJeST2U3W3VKrjzTrujEBERX3X0qKlXfN11\nrltmQED1kslgktvt25vYtm2DZ5+F7Gxo08Y1MYpIzbBtm46VRUTEe2zbZkqWvvMOXHWV3dGIeC31\nUHankyfNSKAdOtgdiYiI+CLLMpfZxcRASIjd0ZR2550wZQo0aGBGve7USYPviUjl5eZCZqZ6KIuI\niHfYuxd69jRXBt5wg93RiHg19VB2p82bITQUzj/f7khERMTXrFkDF11kBuGLj7c7mrLFx8N//gOL\nF8Pjj8Pnn9sdkYj4kq1b4bLLoE4duyMREZGa7sgR6NvXDF6tK2dEKqQeyu60ahV07Gh3FCIi4msO\nH4ahQ+H55+Haa+HCC+2OqGyXXAJjx8KAAeBw2B2NiPiaH3+E1q3tjkJERGq6kydNJ46oKHjqKbuj\nEfEJSii70+rVcOWVdkchIiK+ZtYsM+jd7bfbHcmZBQTooFtEqu7nn00PZREREbtYFtxzjxmw+s03\nVb5NpJJU8sKd1ENZRETOlmXB5Mlwyy12RyIi4l7bt8Oll9odhYiI1GTPPgtr18Inn0BQkN3RiPgM\nJZTd5fffYdcuXQIsIh6RkpKCw+EgPDyccePGlXp9+fLlxMbGEhQUxOzZs0u8Nm3aNCIiIoiIiOD9\n99/3VMhSnm+/hePH4cYb7Y5ERMS9lFAWERE7TZsGU6eaQbDr17c7GhGfopIX7rJmDcTEQG3tYhFx\nr7y8PIYPH86KFSsICQkhPj6eHj16EBMTUzjOSTyRAAAgAElEQVRP8+bNmTZtGhMmTCjx3j179vD0\n00+zceNGAKKjo+nZsychISEe3QYpZtEi6NNHl9uJiP/btk0lL0RExB5LlsD//R+kpkLTpnZHI+Jz\n1EPZXf77X5W7EBGPWL16NREREYSGhlK7dm0SExNZsGBBiXmaN2+Ow+EgMLBks79kyRISEhKoV68e\n9erVo1evXixZssST4cvpli41A/GJiPizPXsgLw+aNbM7EhERqWm++w7+8hczbkmbNnZHI+KTlFB2\nl0WLoGdPu6MQkRogMzOTZsV+kIeFhZGZmVmp92ZlZREWFlal94ob5OTAhg1w1VV2RyIi4l4//ggR\nEboaQ0REPGvXLnM14OTJ0LWr3dGI+CzVY3CHkydh0ya48kq7IxGRGiDAQz/Gx4wZU/i4W7dudOvW\nzSPrrVG++gri4uDcc+2ORMR2qamppKam2h2GuMvPP6vchYiIeNbvv0Pv3vDgg3DTTXZHI+LTlFB2\nh59+gosvVlF3EfGIsLAwMjIyCp9nZGSU6LF8uuIJ6LCwMFavXl3ivZ06dSrzfcUTyuImKnchUuj0\nE1djx461LxhxPSWURUTEk/LyYMAAc6z9wAN2RyPi81Tywh02boToaLujEJEaIi4ujrS0NLKyssjP\nzyc5OZmEhIQy57UsC8uyCp9fe+21pKSkkJOTQ05ODikpKVyrhKZ9liyB666zOwoREfdTQllERDzF\n6YTbb4cLL4SJE1VuScQFlFB2h9WroX17u6MQkRoiODiYKVOm0LNnT6Kiohg4cCCxsbGMHj2azz//\nHIA1a9bQrFkzZs2axV133YXD4QCgadOmPP7441x55ZVceeWVPPXUU4SEhNi5OTXX7t2wdy/Extod\niYiI+23dqoSyiIh4xpNPwi+/wIcfQq1adkcj4hcCrOJd1ewIICAAm0NwvdhYeP11iI+3OxIRqSS/\nbItcSPvHA95/H+bNM6NNi0gpaocq5jP76MgRCAmB336DOnXsjkZEXMhn2iEbaR952NSp8MIL8M03\n0Lix3dGIeAVXtEOV6qGckpKCw+EgPDyccePGlXo9Ly+PxMREHA4HnTt3ZufOnQAsXryY2NhYIiMj\ncTgcLFq0qFrB+oRDh2DbNmjXzu5IRETEl6jchYjUFFu3QqtWSiaLiIh7LVoETzwBCxcqmSziYhUm\nlPPy8hg+fDgpKSls2rSJWbNmsWHDhhLzTJ48maZNm/L9998zatQoRo4cCcBFF13EokWL2LRpEx9/\n/DG33nqr/5+JW7kS4uJ0gCwiIpVnWRqQT0Rqji1bIDzc7ihERMSfffcdJCXB7NnmJKaIuFSFCeXV\nq1cTERFBaGgotWvXJjExkQULFpSYZ+HChSQlJQHQv39/Vq5ciWVZREZG0vh/Z4EiIiJwOp3k5ua6\nYTO8yPLlcNVVdkchIiK+ZPNmOOccuPRSuyMREXE/JZRFRMSdMjOhb1+YPBk6d7Y7GhG/VLuiGTIz\nM2nWrFnh87CwMFJTU8udJzAwkIYNG7Jv374SAzvNmjWLqKgozjnnnFLrGDNmTOHjbt260a1bt7Pc\nDC+yfDn88592RyEiFUhNTS3VlonYZvZs6NHD7ihERDxjyxYYNszuKERExB8dPgx9+sC998JNN9kd\njYjfqjChHBAQUO2VbNmyhUceeYQlS5aU+XrxhLJPO37cXFbRsaPdkYhIBU4/eTV27Fj7gpGa7cgR\nePVVWLPG7khERNzPsmDtWnjlFbsjERERf5OfDzfeCJ06wahRdkcj4tcqLHkRFhZGRkZG4fOMjIwS\nPZYL5tm1axcATqeT7OzswlIXmZmZDBgwgA8++ICWLVu6Mnbvs3o1OBzwhz/YHYmIiPiKxYvNpd8q\ndyEiNcH8+dCkCfj77wIREfEsy4LhwyEoCF57DVzQOVJEyldhQjkuLo60tDSysrLIz88nOTmZhISE\nEvP07t2bDz/8EIC5c+cSHx9PYGAgv//+O3369OGFF14gPj7ePVvgTb7+Grp2tTsKERHxJePGwX33\n2R2FiIhnfP01DBqkH/oiIuJazz0H69fDxx9D7QovxheRaqowoRwcHMyUKVPo2bMnUVFRDBw4kNjY\nWEaPHs3nn38OwIgRI9i9ezcOh4Px48czadIkACZPnsz27dv55z//SUxMDDExMRw4cMC9W2QnDcgn\nIiJnY8cO+OUXGDDA7khERDxjzRro0MHuKETEz6SkpOBwOAgPD2fcuHGlXs/LyyMxMRGHw0Hnzp3Z\nuXNn4WvPP/884eHhOBwOFi9eXOEyb7vtNv74xz8W5ji+++47ACzLYuTIkURERBAbG8uGDRvcuMVS\nwvjxMHWquQqmXj27oxGpEQIsy7JsDSAgAJtDcI38fGjYEHbuhAsusDsaETlLftMWuYn2j5uMG2cS\nym+9ZXckIl5P7VDFvH4f/fILtGkDv/4K559vdzQi4gZ2tEN5eXm0bt2aFStWEBISQnx8PG+//TYx\nMTGF80ycOJGMjAxeeeUV5syZw3vvvcfcuXNZt24dd999N6tWrWLv3r106dKFn376CafTWe4yhw0b\nRr9+/Rg4cGCJOGbPns0HH3zAnDlz2LBhA8OGDWPjxo2l4vX6ttqXWBY88gh8/rkpIxcWZndEIj7B\nFe1QhT2UpZJWr4bLL1cyWUREKufgQXj5Zbj7brsjERHxjDffhD//WclkEXGp1atXExERQWhoKLVr\n1yYxMZEFCxaUmGfhwoUkJSUB0L9/f1auXInT6WTBggUMGTKEWrVqERoaSkREBKtXr65wmWUlYoqv\nIyYmhpMnT5KZmenGLa/hTp6EO++Er74y5ZSUTBbxKBWWcZWlS+Haa+2OQkREfMUnn8DVV0Ox3jMi\nIn5tzRp49FG7oxARP5OZmUmzZs0Kn4eFhZGamlruPIGBgTRs2JB9+/aRlZXFNddcU+K9mZmZWJZ1\nxmU+/vjjPPHEE3Tv3p2JEydSt27dMuPIzMwkrIxE55gxYwofd+vWjW7dulVx62uo3FxzgvLIEZOL\nUZkLkTNKTU0t1S5WlxLKrrJ0KTz1lN1RiIiIr1i6FPr1szsKERHPcDrNYEnt2tkdiYj4mQAPD/I5\nbtw4mjRpwokTJxg+fDhPP/00zzzzDFC653J5sRVPKMtZOnwYbrgBGjc2pS7q1rU7IhGvd/qJq7Fj\nx1Z7mSp54Qo5ObBxI3TpYnckIiLiC06dgmXLoHt3uyMREQ+q6qBRBw8e5Oqrr6Z+/frce++9ng7b\nNX78ERo1MmOOiIi4UFhYGBkZGYXPMzIySvQULphn165dADidTrKzs2ncuHGp9xb0Mj7TMps0aQJA\nnTp1+Otf/8qaNWvKjKO83slSDfv2mSv8WreG6dOVTBaxkRLKrrB8uRmt+txz7Y5ERER8wcaNEBIC\noaF2RyIiHpKXl8fw4cNJSUlh06ZNzJo1iw0bNpSYZ/LkyTRt2pTvv/+eUaNGMXLkSACCg4N55pln\nmDBhgh2hu8aECZCQYHcUIuKH4uLiSEtLIysri/z8fJKTk0k4rb3p3bs3H374IQBz584lPj6eWrVq\n0bt3b2bOnFlY7zgtLY0OHTqccZn79u0DTG/kTz/9lIiIiMJ1fPTRRwCsX7++sC6zuMjOnaYTX9++\n8PrrUKuW3RGJ1GgqeeEKS5eql5mIiFTe9OnQv7/dUYiIBxUf4AkoHOApplgd9YULF/Liiy8CZtCo\nO++8E8uyOPfcc+ncuTPbtm2zJfZqO3YMZs4EDU4lIm4QHBzMlClT6NmzJ06nk6SkJGJjYxk9ejTt\n27enX79+jBgxgqSkJBwOB/Xr12f69OkAtGvXjgEDBhAZGUlgYCBvvfUWQUFBBAUFlblMgCFDhnDw\n4EGOHz9OTEwMb7/9NgCDBg3iyy+/JCIigrp16/Lee+/Ztk/8zpYt0LMnjBoF/zvZKiL2UkK5uiwL\n5s2DWbPsjkRERHzB0aMwbZoZnEpEaozqDBoVEhICVK5OqFcO9LRmDbRtC+efb3ckIuJi7hjoqSoS\nEhJK9UouXiO0bt26JCcnl/nexx57jMcee6xSywRYtmxZuXFMnjy5siFLZX37remIMX48JCXZHY2I\n/I/vJpT37IFzzrH/wHTjRnMfHW1vHCIi4htmzIDOnaFlS7sjEREP8tSgUV450NOKFabdExG/446B\nnkQKLVsGQ4bAv/6lwaxFvIzv1lC++GIYONDuKEzP5MGDwcMjy4qIiI9KToahQ+2OQkQ8rDqDRvm8\n//5XCWURETk7c+aYZPInnyiZLOKFfDehDHD4sL3rt6yihLKIiEhFDh2CVatMDTgRqVGqOmhUYGDR\n4bplWR6N2SWcTvjmGyWURUSk8qZNg+HD4Ysv4E9/sjsaESmD75a8AKhXz971b94MubnQvr29cYiI\niG/44gvo2tX+/18i4nHVGTQKoEWLFuTk5HDixAnmzp3L4sWLad26tY1bVEmbN0OjRvC/OtAiIiJn\n9Mor8PLL8OWX4Av/50RqqADL5q4OAQEBVettERAAffvC55+7PqjKGjPG9JJ+6SX7YhARl6hyW1RD\naP+4SGIidO8Of/ub3ZGI+By1QxXzyn30zDOweze88YbdkYiIB3hlO+RltI/KYVkwejTMnAlLlsAl\nl9gdkYjfckU75NslL+zu4aVyFyIiUlnZ2bBoEQwaZHckIiKeYVnw/vtw2212RyIiIt7M6YSRI2H+\nfPj6ayWTRXyAEspVtXUr/PYbdOxoXwwiIuI7pk0zA4o0bGh3JCIiRebMcV+79MsvcPQoxMW5Z/ki\nIuL7Tp40Jx43bjRlLpo0sTsiEakE36yhXNAt286E8uzZMHAgBPp2Tl5ERDzAsuDtt2HqVLsjEREp\n6auv4OBB9yx7+XLo1MmUqhMRETldbi7cfLO5X7QIzj3X7ohEpJJ8Mxual2fua9uYD1e5CxERqawl\nSyAoCDp3tjsSEZGSTp5037Lfew+GDHHf8kVExHcdOWLGxQoKgrlzlUwW8TG+mVA+dszcu/MA+Ey2\nbYM9e6BLF3vWLyJympSUFBwOB+Hh4YwbN67U63l5eSQmJuJwOOjcuTM7d+4EYMeOHZxzzjnExMQQ\nExPDPffc4+nQa4aXX4YHH1QvPRHxPu46nk5Lg+3boX9/9yxfRER818GDcN110KIFzJgBderYHZGI\nnCXfLHlx9Ki5z8+3Z/3vv28uy6hVy571i4gUk5eXx/Dhw1mxYgUhISHEx8fTo0cPYmJiCueZPHky\nTZs2ZebMmcyZM4eRI0cyd+5cAC677DI2bNhgV/j+b/NmUxNuzhy7IxERKc1dCeU334Q77jA9z0RE\nRArs3Qs9epiE8oQJ6nAh4qPUQ/lsOZ3wwQdw662eX7eISBlWr15NREQEoaGh1K5dm8TERBYsWFBi\nnoULF5KUlARA//79WblyJVZBPXpxr1degeHDoW5duyMRESnNHcfTR47A9OkmoSwiIlJg50646iq4\n8UYlk0V8nG8mlAt6KNuRUF6+HM47D6KjPb9uEZEyZGZm0qxZs8LnYWFhZGZmljtPYGAgDRs2ZN++\nfYApexEdHU2nTp1YtmyZ5wKvCfbvNzX3hw+3OxIRkbK543h6+nSTMCj2v0lERGq4H380/xtGjIAn\nn1QyWcTH+XbJi6VL4W9/g7ff9ty6p02DoUM9tz4RkQoEVONg7OKLLyYrK4sGDRqwYcMG+vbty+bN\nmzn//PNLzTtmzJjCx926daNbt25VXm+N8frrpgdG48Z2RyLic1JTU0lNTbU7DP/n6oSyZcGUKfDC\nC65droiI+K7vvoOEBHj2WRg2zO5oRMQFKpVQTklJYdSoUZw6dYpbb72Vhx9+uMTreXl5DB06lC1b\nttCgQQOmT59O8+bNOXjwIIMGDWLt2rXcdtttvPbaa66JuqDkxc6d8M47nkso//67GX30+ec9sz4R\nkUoICwsjIyOj8HlGRkaJHssF8+zatYsmTZrgdDrJzs6mcePGBAYGUud/g2DExMTQtm1btm7dSseO\nHUutp3hCWSohOxsmT4ZVq+yORMQnnX7iauzYsfYF489OnTL3iYkwc2b1l7duHRw+bGpjioiIfPMN\n3HCD6WgxeLDd0YiIi1RY8qJgsKeUlBQ2bdrErFmzSg3eVDDY0/fff8+oUaMYOXIkAMHBwTzzzDNM\nmDDBtVEX9FD2tHfegd694aKL7Fm/iEgZ4uLiSEtLIysri/z8fJKTk0lISCgxT+/evfnwww8BmDt3\nLvHx8QQGBnLw4EGcTidgSl+kpaVx2WWXeXwb/NK4ceagWftTRLxZwSDXycmuWd78+TBoEAT6ZmU9\nERFxof/8B/r3h3//W8lkET9T4ZFedQZ7Ovfcc+ncuTN1XT0Q0bFjlRvcaONG2LzZNevMz4dJk+Af\n/3DN8kREXCQ4OJgpU6bQs2dPoqKiGDhwILGxsYwePZrPP/8cgBEjRrB7924cDgfjx49n0qRJAHz5\n5ZdERkYSGRlJv379mDRpEo0aNbJzc/xDVhb861+mPpyIiDcrXvJi5044caLqy7IsmDMHevasflwi\nIuLb5s2Dm2+G2bNNuQsR8SsVlrwoa7Cn0+vZlTfYU0hICFBxfc+zrst59KgZGO9/A0qVa/p0+MMf\nICKi9Gt790JISOULwScnw+WXQ0xM5eYXEa/mb7U5ExISSvVKLn55eN26dUkuo/fZoEGDGDRokNvj\nq3H+7//grrsgNNTuSEREzqyg5AVAixbwzDPw+ONVW9bSpWZ5V1/tktBERMRHzZgBDzwACxZAXJzd\n0YiIG1SYUK7OYE+VddZ1OY8ehQYNKk4o5+aWf7ndgAHwyitw5ZUVr8+yYOJEePrps4tTRLyWanOK\n23z1FaxY4dkBY0VEqur0Qfmys6u+rKlTYfhwlbsQEanJpk6F0aPNSca2be2ORkTcpMKjvbMZ7Ako\nMdiT2xw7ZnooV+T4cZNULsuBA3Dw4Jnf/8orsH8/pKaaZekyDREROZP8fPj73+Gll8wVMiIi3u70\nhLJlVW052dmwaJG5vFlERGqmV14xV7qkpiqZLOLnKkwoV2ewpwJWVQ9My1PQQ7kiubnlJ5R//x1y\ncs78/pdeMj3Nxo2DBx9UbwsRETmz114zZS4GDrQ7EhGRyjk9oVxV06dDnz5wwQWuWZ6IiPgOyzJX\ndL/xBixfbsqFiohfq7DkRfHBnpxOJ0lJSYWDPbVv355+/foxYsQIkpKScDgc1K9fn+nTpxe+v0WL\nFuTk5HDixAnmzp3L4sWLad26dfWiPr2HsmWVXQu5vJIXlgWHDsGePWZZ555bep78fDOo0vPPQ14e\nDB1avZhFRMS/7d4Nzz0HK1dWvj6/iIjdTh+EryodQTZvhgkT4N13XROTiIj4jpMn4dFHISXFJJMv\nusjuiETEAypMKEPVB3sC2LFjR9WjK0/BoHwF3nkHOncuPfje8eNlJ5SPHzcJ40cfNQnlRx810xcv\nhthYaNTIJAacTli/Hj7/HOrWdf12iIiI/3j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} ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Terminated without errors (ignition or equilibrium achieved):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/08025-2lev-hot-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/08025-2lev-hot', '/u/sciteam/ajacobs/scratch/sub_chandra/08100-2lev-200-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/10050-2lev-200-full-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/10050-2lev-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/10100-2lev-cool-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/11050-2lev-175-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/12050-2lev-cool-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/12050-3lev-cool-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/12050-3lev-cool-spt1-newM']\n", "results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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PM9N22FouFzZbdRm6CvDbb78t/fv313tu8ODBMmvWLBGxvC/ZkBdeeEG6deum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\nPvzQPhfOxJfMTP/nU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sN4+OGH1adPHxUUFKigoEALFiyIQS0BoB3i6H2aNhlAUohiUJ+z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\n7OaX7fBbtYN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dO1ejRo3SgAEDNG7cOOXm5qqoqEhLly6V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JCud9+Vjj5aGjNG+vOfI98LhczfO5L0L/9i/m6QzLX8yy+be2tjx0qVlWYfJ5wg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\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C5cYN4NQpWQ391ClZdf3sWeD8eUm2a9oUaNZMLnv3lsu6dW0bU1S8uJy3VavmuO9BRPqK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\nVmfTuV6lc/uoPfr9nBmbLf1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} ], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "#sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/08025-2lev-hot-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/08025-2lev-hot']\n", "#results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "#sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/08050-2lev-hot-spt1','/u/sciteam/ajacobs/scratch/sub_chandra/08100-2lev-200-spt1']\n", "#results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "#sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/10025-2lev-200-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/10050-2lev-200-full-spt1']\n", "#results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "code", "collapsed": false, "input": [ "#sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/10050-2lev-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/10100-2lev-cool-spt1']\n", "#results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "#sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/11050-2lev-175-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/12025-3lev-175-spt1-newM']\n", "#results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "#sim_dirs = ['/u/sciteam/ajacobs/scratch/sub_chandra/12050-2lev-cool-spt1', '/u/sciteam/ajacobs/scratch/sub_chandra/12050-3lev-cool-spt1']\n", "#results(sim_dirs)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Titan Status, Usage\n", "===\n", "---" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print_overview()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "=== Queue Overview ===\n", "--------------------------------------------------------------------------------\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "active jobs------------------------\r\n", "JOBID USERNAME STATE PROCS REMAINING STARTTIME\r\n", "\r\n", "\r\n", "0 active jobs 0 of 300224 processors in use by local jobs (0.00%)\r\n", " 18244 of 18653 nodes active (97.81%)\r\n", "\r\n", "eligible jobs----------------------\r\n", "JOBID USERNAME STATE PROCS WCLIMIT QUEUETIME\r\n", "\r\n", "\r\n", "0 eligible jobs \r\n", "\r\n", "blocked jobs-----------------------\r\n", "JOBID USERNAME STATE PROCS WCLIMIT QUEUETIME\r\n", "\r\n", "\r\n", "0 blocked jobs \r\n", "\r\n", "Total jobs: 0\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "=== Memory Overview ===\n", "--------------------------------------------------------------------------------\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Disk quotas for user ajacobs (uid 8412): \r\n", " Filesystem blocks quota limit grace files quota limit grace\r\n", "nccsfiler3.ccs.ornl.gov:/vol/home1\r\n", " 2720M 10240M 10240M 8938 4295m 4295m \r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "=== Core-hour Overview ===\n", "--------------------------------------------------------------------------------\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "titan usage for the project's current allocation period: \r\n", " Project Totals ajacobs\r\n", " Project Allocation Usage Remaining Usage\r\n", "__________________________|____________________________|_____________\r\n", " ast006 55000000 | 6779002.74 48220997.26 | 1541607.57\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "My usage %: " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 2.80292285455\n", "Proj usage %: 12.3254595273\n", "My fraction of proj usage %: 22.7409197064\n" ] } ], "prompt_number": 18 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Imports, Function Definitions, Setup \n", "===\n", "---" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%pylab inline" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\n", "For more information, type 'help(pylab)'.\n" ] } ], "prompt_number": 111 }, { "cell_type": "code", "collapsed": false, "input": [ "def results(sim_dirs):\n", " \"\"\"Display the results of all simulations in list sim_dirs.\"\"\"\n", " import dataRead\n", " from os.path import basename\n", " \n", " sim_count = len(sim_dirs)\n", " fig, ax_list = plt.subplots(nrows=2, ncols=sim_count)\n", " \n", " if(sim_count > 1):\n", " i = 0\n", " for cur_dir in sim_dirs:\n", " sim_title = basename(cur_dir)\n", " cur_temp = dataRead.getData(cur_dir + \"/subchandra_temp_diag.out\")\n", " cur_mach = dataRead.getData(cur_dir + \"/subchandra_vel_diag.out\")\n", " sub_plot = ax_list[0][i]\n", " sub_plot.plot(cur_temp[:,0], cur_temp[:,1], color=\"red\")\n", " sub_plot.set_title(sim_title + \" | Peak Temperature\")\n", " sub_plot = ax_list[1][i]\n", " sub_plot.plot(cur_mach[:,0], cur_mach[:,3], color=\"red\")\n", " sub_plot.set_title(\"Peak Mach #\")\n", " sub_plot.set_xlabel(r\"time [s]\")\n", " i = i + 1\n", " else:\n", " cur_dir = sim_dirs[0]\n", " sim_title = basename(cur_dir)\n", " cur_temp = dataRead.getData(cur_dir + \"/subchandra_temp_diag.out\")\n", " cur_mach = dataRead.getData(cur_dir + \"/subchandra_vel_diag.out\")\n", " sub_plot = ax_list[0]\n", " sub_plot.plot(cur_temp[:,0], cur_temp[:,1], color=\"red\")\n", " sub_plot.set_title(sim_title + \" | Peak Temperature\")\n", " sub_plot = ax_list[1]\n", " sub_plot.plot(cur_mach[:,0], cur_mach[:,3], color=\"red\")\n", " sub_plot.set_title(\"Peak Mach #\")\n", " sub_plot.set_xlabel(r\"time [s]\")\n", " \n", " fig.set_size_inches(5.0*sim_count,4.0*2)\n", " fig.tight_layout()\n", " \n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 112 }, { "cell_type": "code", "collapsed": false, "input": [ "def display_initial_models():\n", " sims = []\n", " # (initial model filename, \n", " # (temperature limits), (density limits), (radius limits), (soundspeed limits),\n", " # ((zoomed radius limits), (zoomed density limits), (zoomed temperature limits)),\n", " # anelastic_cutoff, sponge_center_density, sponge_start_factor, base_cutoff_density)\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/08025-2lev-hot-spt1/run/sub_chandra.M_WD-0.80.M_He-0.025.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 1.1e9), (1.e7, 1.e10), \n", " ((0.7e9, 0.8e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 8000, 8000, 2.0, 5000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/08050-2lev-hot-spt1/run/sub_chandra.M_WD-0.80.M_He-0.05.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 1.0e9), (1.e7, 1.e10), \n", " ((0.6e9, 0.8e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 17500, 17500, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/08050-3lev-200-spt1/run/sub_chandra.M_WD-0.80.M_He-0.05.hse.C.5120',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 1.0e9), (1.e7, 1.e10), \n", " ((0.6e9, 0.8e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 31000, 31000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/08050-3lev-250-spt1/run/sub_chandra.M_WD-0.80.M_He-0.05.hse.C.5120',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 1.0e9), (1.e7, 1.e10), \n", " ((0.6e9, 0.8e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 18500, 18500, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/08100-2lev-200-spt1/run/sub_chandra.M_WD-0.80.M_He-0.10.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 0.85e9), (1.e7, 1.e10), \n", " ((0.56e9, 0.61e9), (1.e5, 1.e6), (6e7, 1e8)), \n", " 75000, 75000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/10025-2lev-200-spt1/run/sub_chandra.M_WD-1.00.M_He-0.025.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 7.5e8), (1.e7, 1.e10), \n", " ((0.5e9, 0.6e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 30000, 30000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/10050-2lev-spt1/run/sub_chandra.M_WD-1.00.M_He-0.05.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 7.5e8), (1.e7, 1.e10), \n", " ((0.45e9, 0.55e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 70000, 70000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/10100-2lev-cool-spt1/run/sub_chandra.M_WD-1.00.M_He-0.10.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 6.5e8), (1.e7, 1.e10), \n", " ((0.38e9, 0.5e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 275000, 275000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/11050-2lev-175-spt1/run/sub_chandra.M_WD-1.10.M_He-0.05.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 6.0e8), (1.e7, 1.e10), \n", " ((0.36e9, 0.46e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 175000, 175000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/12050-2lev-cool-spt1/run/sub_chandra.M_WD-1.20.M_He-0.05.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 5.0e8), (1.e7, 1.e10), \n", " ((0.3e9, 0.4e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 390000, 390000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/12050-3lev-cool-spt1/run/sub_chandra.M_WD-1.20.M_He-0.05.hse.C.5120',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 5.0e8), (1.e7, 1.e10), \n", " ((0.3e9, 0.4e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 265000, 265000, 2.0, 10000))\n", "\n", " plot_initial_models(sims)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 113 }, { "cell_type": "code", "collapsed": false, "input": [ "def display_initial_modelsb():\n", " sims = []\n", " # (initial model filename, \n", " # (temperature limits), (density limits), (radius limits), (soundspeed limits),\n", " # ((zoomed radius limits), (zoomed density limits), (zoomed temperature limits)),\n", " # anelastic_cutoff, sponge_center_density, sponge_start_factor, base_cutoff_density)\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/08025-2lev-hot-spt1/run/sub_chandra.M_WD-0.80.M_He-0.025.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 1.1e9), (1.e7, 1.e10), \n", " ((0.7e9, 0.8e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 8000, 8000, 2.0, 5000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/08050-2lev-hot-spt1/run/sub_chandra.M_WD-0.80.M_He-0.05.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 1.0e9), (1.e7, 1.e10), \n", " ((0.6e9, 0.8e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 17500, 17500, 2.0, 10000))\n", " plot_initial_models(sims)\n", " sims = []\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/08100-2lev-200-spt1/run/sub_chandra.M_WD-0.80.M_He-0.10.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 0.85e9), (1.e7, 1.e10), \n", " ((0.56e9, 0.61e9), (1.e5, 1.e6), (6e7, 1e8)), \n", " 75000, 75000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/10025-2lev-200-spt1/run/sub_chandra.M_WD-1.00.M_He-0.025.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 7.5e8), (1.e7, 1.e10), \n", " ((0.5e9, 0.6e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 30000, 30000, 2.0, 10000))\n", " plot_initial_models(sims)\n", " sims = []\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/10050-2lev-spt1/run/sub_chandra.M_WD-1.00.M_He-0.05.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 7.5e8), (1.e7, 1.e10), \n", " ((0.45e9, 0.55e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 70000, 70000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/10100-2lev-cool-spt1/run/sub_chandra.M_WD-1.00.M_He-0.10.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 6.5e8), (1.e7, 1.e10), \n", " ((0.38e9, 0.5e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 275000, 275000, 2.0, 10000))\n", " plot_initial_models(sims)\n", " sims = []\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/11050-2lev-175-spt1/run/sub_chandra.M_WD-1.10.M_He-0.05.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 6.0e8), (1.e7, 1.e10), \n", " ((0.36e9, 0.46e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 175000, 175000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/12050-2lev-cool-spt1/run/sub_chandra.M_WD-1.20.M_He-0.05.hse.C.2560',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 5.0e8), (1.e7, 1.e10), \n", " ((0.3e9, 0.4e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 390000, 390000, 2.0, 10000))\n", " plot_initial_models(sims)\n", " sims = []\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/12050-3lev-cool-spt1/run/sub_chandra.M_WD-1.20.M_He-0.05.hse.C.5120',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 5.0e8), (1.e7, 1.e10), \n", " ((0.3e9, 0.4e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 265000, 265000, 2.0, 10000))\n", " sims.append(('/u/sciteam/ajacobs/Projects/SubChandra/Runs/12050-3lev-cool-spt1/run/sub_chandra.M_WD-1.20.M_He-0.05.hse.C.5120',\n", " (1.e7, 5.e8), (1.e0, 1.e8), (0., 5.0e8), (1.e7, 1.e10), \n", " ((0.3e9, 0.4e9), (2.e3, 2.e5), (6e7, 1e8)), \n", " 265000, 265000, 2.0, 10000))\n", " plot_initial_models(sims)\n", " \n", " " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 114 }, { "cell_type": "code", "collapsed": false, "input": [ "def plot_initial_models(sim_list):\n", " \"\"\"Plot the initial model temperature and density profiles with cutoffs overlayed for all simulations\n", " in sim_list. Each element of sim_list is a tuple containing the following:\n", " (imfile, Tlims, dlims, rlims, clims, zbounds, an_cut, sp_cen_den, sp_st_fac, base_cut)\n", "\n", " imfile: The file with the initial model, generated by init1d in AstroDev/initial_models/sub_chandra\n", " Tlims: Tuple of the temperature limits for the plot range: (lower bound, upper bound)\n", " dlims: Tuple of the density limits for the plot range\n", " rlims: Tuple of the radius limits for the plot range\n", " clims: Tuple of the soundspeed limits for the plot range\n", " zbounds: Tuple of the boundaries for the zoomed inset\n", " an_cut: The anelastic cutoff density\n", " sp_cen_den: The sponge_center_density\n", " sp_st_fac: The sponge_start_factor\n", " base_cut: The base_cutoff_density\"\"\"\n", " import dataRead\n", " from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n", " from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n", "\n", " #Check arg\n", " if(len(sim_list) < 2):\n", " raise ValueError('sim_list must have at least 2 elements')\n", "\n", " #Create plot objects\n", " fig, ax_list = plt.subplots(nrows=3, ncols=len(sim_list))\n", "\n", " col = 0\n", " for s in sim_list:\n", " imfile = s[0]\n", " Tlims = s[1]\n", " dlims = s[2]\n", " rlims = s[3]\n", " clims = s[4]\n", " zbounds = s[5]\n", " an_cut = s[6] \n", " sp_cen_den = s[7] \n", " sp_st_fac = s[8] \n", " base_cut = s[9] \n", "\n", " initialModel = imfile\n", " initialData = dataRead.getData(initialModel)\n", " extraData = dataRead.getData(initialModel.replace('hse','extras'))\n", " #initialData[n,i]:\n", " # n --> row\n", " # i --> variable\n", " # i = 0 --> radius\n", " # 1 --> density\n", " # 2 --> temp\n", "\n", " #-----------------------------------------------------------------------\n", " # initial model\n", "\n", " # find the r coordinate of the anelastic cutoff\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,1] <= an_cut):\n", " r_an = initialData[n,0]\n", " break\n", " n += 1\n", "\n", " # find the r coordinate of the middle of the sponge\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,1] <= sp_cen_den):\n", " r_md = initialData[n,0]\n", " break\n", " n += 1\n", "\n", " # find the r coordinate of the start of the sponge\n", " sponge_start = sp_st_fac*sp_cen_den\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,1] <= sponge_start):\n", " r_sp = initialData[n,0]\n", " break\n", " n += 1\n", " \n", " # compute the r coordinate of the top of the sponge\n", " r_tp = 2*r_md - r_sp\n", "\n", " # find the r coordinate of the cutoff density\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,1] <= base_cut):\n", " r_bc = initialData[n,0]\n", " break\n", " n += 1\n", " \n", " # find the r coordinate of the inner velocity perturbation boundary\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,5] <= 0.9):\n", " r_inp = initialData[n,0]\n", " break\n", " n += 1\n", "\n", "\n", " # make the plots\n", " \n", "\n", " #-------------------------------------------------------------------------\n", " # density and temperature plots\n", " #-------------------------------------------------------------------------\n", " \n", " sp = ax_list[0][col]\n", " sp.set_yscale('log')\n", "\n", " # density\n", "\n", " # model 1\n", " sp.plot(initialData[:,0], initialData[:,1], color=\"blue\")\n", "\n", " # draw in the sponge start, anelastic cutoff, and base cutoff density\n", " sp.plot([r_an, r_an ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " sp.plot([r_sp, r_sp ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " sp.plot([r_bc, r_bc ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " #pylab.plot([r_inp, r_inp ], [dlims[0], 10.0*dlims[1]], color=\"0.00\")\n", " #print('inner pert: ', r_inp)\n", " #r_outp = (r_inp+r_sp)/2.0\n", " #pylab.plot([r_outp, r_outp ], [dlims[0], 10.0*dlims[1]], color=\"0.00\")\n", " #print('outer pert: ', r_outp)\n", "\n", " #pylab.xlabel(\"r (cm)\")\n", " sp.set_ylabel(r\"density (g cm$^{-3}$)\", color=\"blue\")\n", "\n", " sp.set_xlim(rlims[0], rlims[1])\n", " sp.set_ylim(dlims[0], dlims[1])\n", "\n", " # the offset text is the 1.e8 that appears under the axis labels when\n", " # doing scientific notation\n", " sp.tick_params(labeltop='off')\n", " sp.tick_params(labelbottom='off')\n", " sp.xaxis.offsetText.set_visible(False)\n", " \n", " \n", " # set the title\n", " tokens = imfile.split('/')\n", " sp.set_title(tokens[len(tokens)-3])\n", "\n", " # temperature\n", " sp2 = sp.twinx()\n", " sp2.set_yscale('log')\n", "\n", " # model 1\n", " sp2.plot(initialData[:,0], initialData[:,2], color=\"red\")\n", "\n", " sp2.yaxis.tick_right()\n", " sp2.axis(labelcolor=\"red\")\n", " sp2.set_ylabel(r\"temperature (K)\", color=\"red\")\n", "\n", " sp2.set_xlim(rlims[0], rlims[1])\n", " sp2.set_ylim(Tlims[0], Tlims[1])\n", " \n", " # zoomed inset\n", " #axins = zoomed_inset_axes(sp, 2, loc=3) # zoom = 2, location = 3 (lower left)\n", " off = float(col)/len(sim_list)\n", " axins = fig.add_axes([off + 0.175/len(sim_list), 0.75, 0.30/len(sim_list), 0.10])\n", " axins.set_yscale('log')\n", " axins.plot(initialData[:,0], initialData[:,1], color=\"blue\")\n", " axins_twin = axins.twinx() \n", " axins_twin.set_yscale('log')\n", " axins_twin.plot(initialData[:,0], initialData[:,2], color=\"red\")\n", " axins.plot([r_an, r_an ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " axins.plot([r_sp, r_sp ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " axins.plot([r_bc, r_bc ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " \n", " #axins.set_xlim(0.7e9, 0.78e9)\n", " axins.set_xlim(zbounds[0][0], zbounds[0][1])\n", " #axins.set_ylim(2.e3, 2.e5)\n", " axins.set_ylim(zbounds[1][0], zbounds[1][1])\n", " #axins.set_xticklabels([' '], visible=False)\n", " #axins.set_xticks([0.7e9, 0.72e9, 0.74e9, 0.76e9, 0.78e9])\n", " axins.xaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", " axins.set_yticklabels([' '], visible=False)\n", " #axins_twin.set_ylim(6.e7, 1.e8)\n", " axins_twin.set_ylim(zbounds[2][0], zbounds[2][1])\n", " #axins_twin.set_xticklabels([' '], visible=False)\n", " axins_twin.set_yticklabels([' '], visible=False)\n", "\n", " #-------------------------------------------------------------------------\n", " # species plot\n", " #-------------------------------------------------------------------------\n", " sp = ax_list[1][col]\n", " \n", " # model 1\n", " sp.plot(initialData[:,0], initialData[:,4], color=\"red\", label=r\"$^{4}\\mathrm{He}$\")\n", " sp.plot(initialData[:,0], initialData[:,5], color=\"blue\", label=r\"$^{12}\\mathrm{C}$\")\n", " # pylab.plot(initialData[:,0], initialData[:,6], color=\"green\", label=r\"$^{16}\\mathrm{O}$\")\n", " \n", " # draw in the sponge star, anelastic cutoff, and base cutoff density\n", " #sp.plot([r_an, r_an ], [0, 1.05], color=\"0.65\")\n", " #sp.plot([r_sp, r_sp ], [0, 1.05], color=\"0.65\")\n", " #sp.plot([r_bc, r_bc ], [0, 1.05], color=\"0.65\")\n", "\n", " #pylab.xlabel(\"r (cm)\")\n", " sp.set_ylabel(\"mass fraction\")\n", "\n", " #ax = pylab.gca()\n", " sp.xaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", " #ax.yaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", "\n", " # the offset text is the 1.e8 that appears under the axis labels when\n", " # doing scientific notation\n", " sp.tick_params(labeltop='off')\n", " sp.tick_params(labelbottom='off')\n", " sp.xaxis.offsetText.set_visible(False)\n", "\n", " sp.set_xlim(rlims[0], rlims[1])\n", " sp.set_ylim(0.0,1.05)\n", "\n", " sp.legend(loc=2)\n", "\n", " #-------------------------------------------------------------------------\n", " # soundspeed\n", " #-------------------------------------------------------------------------\n", " sp = ax_list[2][col]\n", " \n", " sp.set_yscale('log')\n", "\n", " # model 1\n", " sp.plot(extraData[:,0], extraData[:,1], color=\"red\")\n", "\n", " \n", " # draw in the sponge star, anelastic cutoff, and base cutoff density\n", " #sp.plot([r_an, r_an ], [clims[0], clims[1]], color=\"0.65\")\n", " #sp.plot([r_sp, r_sp ], [clims[0], clims[1]], color=\"0.65\")\n", " #sp.plot([r_bc, r_bc ], [clims[0], clims[1]], color=\"0.65\")\n", " \n", " sp.set_xlabel(\"r (cm)\")\n", " sp.set_ylabel(\"sound speed (cm/s)\")\n", "\n", " #ax = pylab.gca()\n", " sp.xaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", " #ax.yaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", "\n", " sp.set_xlim(rlims[0], rlims[1])\n", " sp.set_ylim(clims[0], clims[1])\n", "\n", " #-------------------------------------------------------------------------\n", " #pylab.subplots_adjust(hspace=0.1)\n", "\n", " col = col + 1\n", "\n", " fig.set_size_inches(6.0*len(sim_list),12.0)\n", " fig.tight_layout()\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 115 }, { "cell_type": "code", "collapsed": false, "input": [ "def plot_initial_model(imfile, Tlims, dlims, rlims, clims, zbounds, an_cut, sp_cen_den, sp_st_fac, base_cut):\n", " \"\"\"Plot the initial model temperature and density profiles with cutoffs overlayed.\n", "\n", " imfile: The file with the initial model, generated by init1d in AstroDev/initial_models/sub_chandra\n", " Tlims: Tuple of the temperature limits for the plot range: (lower bound, upper bound)\n", " dlims: Tuple of the density limits for the plot range\n", " rlims: Tuple of the radius limits for the plot range\n", " clims: Tuple of the soundspeed limits for the plot range\n", " zbounds: Tuple of the boundaries for the zoomed inset\n", " an_cut: The anelastic cutoff density\n", " sp_cen_den: The sponge_center_density\n", " sp_st_fac: The sponge_start_factor\n", " base_cut: The base_cutoff_density\"\"\"\n", " import dataRead\n", " from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n", " from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n", "\n", "\n", " initialModel = imfile\n", " initialData = dataRead.getData(initialModel)\n", " extraData = dataRead.getData(initialModel.replace('hse','extras'))\n", " #initialData[n,i]:\n", " # n --> row\n", " # i --> variable\n", " # i = 0 --> radius\n", " # 1 --> density\n", " # 2 --> temp\n", "\n", " #-----------------------------------------------------------------------\n", " # initial model\n", "\n", " # find the r coordinate of the anelastic cutoff\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,1] <= an_cut):\n", " r_an = initialData[n,0]\n", " break\n", " n += 1\n", "\n", " # find the r coordinate of the middle of the sponge\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,1] <= sp_cen_den):\n", " r_md = initialData[n,0]\n", " break\n", " n += 1\n", "\n", " # find the r coordinate of the start of the sponge\n", " sponge_start = sp_st_fac*sp_cen_den\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,1] <= sponge_start):\n", " r_sp = initialData[n,0]\n", " break\n", " n += 1\n", " \n", " # compute the r coordinate of the top of the sponge\n", " r_tp = 2*r_md - r_sp\n", "\n", " # find the r coordinate of the cutoff density\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,1] <= base_cut):\n", " r_bc = initialData[n,0]\n", " break\n", " n += 1\n", " \n", " # find the r coordinate of the inner velocity perturbation boundary\n", " n = 0\n", " while (n < len(initialData[:,1])):\n", " if (initialData[n,5] <= 0.9):\n", " r_inp = initialData[n,0]\n", " break\n", " n += 1\n", "\n", "\n", " # make the plots\n", " \n", " fig, ax_list = plt.subplots(nrows=3, ncols=1)\n", "\n", " #-------------------------------------------------------------------------\n", " # density and temperature plots\n", " #-------------------------------------------------------------------------\n", " \n", " sp = ax_list[0] \n", " sp.set_yscale('log')\n", "\n", " # density\n", "\n", " # model 1\n", " sp.plot(initialData[:,0], initialData[:,1], color=\"blue\")\n", "\n", " # draw in the sponge start, anelastic cutoff, and base cutoff density\n", " sp.plot([r_an, r_an ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " print('an cutoff:', r_an)\n", " sp.plot([r_sp, r_sp ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " print('sponge start:', r_sp)\n", " sp.plot([r_bc, r_bc ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " print('base cutoff den:', r_bc)\n", " #pylab.plot([r_inp, r_inp ], [dlims[0], 10.0*dlims[1]], color=\"0.00\")\n", " #print('inner pert: ', r_inp)\n", " #r_outp = (r_inp+r_sp)/2.0\n", " #pylab.plot([r_outp, r_outp ], [dlims[0], 10.0*dlims[1]], color=\"0.00\")\n", " #print('outer pert: ', r_outp)\n", "\n", " #pylab.xlabel(\"r (cm)\")\n", " sp.set_ylabel(r\"density (g cm$^{-3}$)\", color=\"blue\")\n", "\n", " sp.set_xlim(rlims[0], rlims[1])\n", " sp.set_ylim(dlims[0], dlims[1])\n", "\n", " # the offset text is the 1.e8 that appears under the axis labels when\n", " # doing scientific notation\n", " sp.tick_params(labeltop='off')\n", " sp.tick_params(labelbottom='off')\n", " sp.xaxis.offsetText.set_visible(False)\n", "\n", " # temperature\n", " sp2 = sp.twinx()\n", " sp2.set_yscale('log')\n", "\n", " # model 1\n", " sp2.plot(initialData[:,0], initialData[:,2], color=\"red\")\n", "\n", " sp2.yaxis.tick_right()\n", " sp2.axis(labelcolor=\"red\")\n", " sp2.set_ylabel(r\"temperature (K)\", color=\"red\")\n", "\n", " sp2.set_xlim(rlims[0], rlims[1])\n", " sp2.set_ylim(Tlims[0], Tlims[1])\n", " \n", " # zoomed inset\n", " #axins = zoomed_inset_axes(sp, 2, loc=3) # zoom = 2, location = 3 (lower left)\n", " axins = fig.add_axes([0.175, 0.75, 0.30, 0.10])\n", " axins.set_yscale('log')\n", " axins.plot(initialData[:,0], initialData[:,1], color=\"blue\")\n", " axins_twin = axins.twinx() \n", " axins_twin.set_yscale('log')\n", " axins_twin.plot(initialData[:,0], initialData[:,2], color=\"red\")\n", " axins.plot([r_an, r_an ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " axins.plot([r_sp, r_sp ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " axins.plot([r_bc, r_bc ], [dlims[0], 10.0*dlims[1]], color=\"0.65\")\n", " \n", " #axins.set_xlim(0.7e9, 0.78e9)\n", " axins.set_xlim(zbounds[0][0], zbounds[0][1])\n", " #axins.set_ylim(2.e3, 2.e5)\n", " axins.set_ylim(zbounds[1][0], zbounds[1][1])\n", " #axins.set_xticklabels([' '], visible=False)\n", " #axins.set_xticks([0.7e9, 0.72e9, 0.74e9, 0.76e9, 0.78e9])\n", " axins.xaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", " axins.set_yticklabels([' '], visible=False)\n", " #axins_twin.set_ylim(6.e7, 1.e8)\n", " axins_twin.set_ylim(zbounds[2][0], zbounds[2][1])\n", " #axins_twin.set_xticklabels([' '], visible=False)\n", " axins_twin.set_yticklabels([' '], visible=False)\n", "\n", " #-------------------------------------------------------------------------\n", " # species plot\n", " #-------------------------------------------------------------------------\n", " sp = ax_list[1] \n", " \n", " # model 1\n", " sp.plot(initialData[:,0], initialData[:,4], color=\"red\", label=r\"$^{4}\\mathrm{He}$\")\n", " sp.plot(initialData[:,0], initialData[:,5], color=\"blue\", label=r\"$^{12}\\mathrm{C}$\")\n", " # pylab.plot(initialData[:,0], initialData[:,6], color=\"green\", label=r\"$^{16}\\mathrm{O}$\")\n", " \n", " # draw in the sponge star, anelastic cutoff, and base cutoff density\n", " #sp.plot([r_an, r_an ], [0, 1.05], color=\"0.65\")\n", " #sp.plot([r_sp, r_sp ], [0, 1.05], color=\"0.65\")\n", " #sp.plot([r_bc, r_bc ], [0, 1.05], color=\"0.65\")\n", "\n", " #pylab.xlabel(\"r (cm)\")\n", " sp.set_ylabel(\"mass fraction\")\n", "\n", " #ax = pylab.gca()\n", " sp.xaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", " #ax.yaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", "\n", " # the offset text is the 1.e8 that appears under the axis labels when\n", " # doing scientific notation\n", " sp.tick_params(labeltop='off')\n", " sp.tick_params(labelbottom='off')\n", " sp.xaxis.offsetText.set_visible(False)\n", "\n", " sp.set_xlim(rlims[0], rlims[1])\n", " sp.set_ylim(0.0,1.05)\n", "\n", " sp.legend(loc=2)\n", "\n", " #-------------------------------------------------------------------------\n", " # soundspeed\n", " #-------------------------------------------------------------------------\n", " sp = ax_list[2] \n", " \n", " sp.set_yscale('log')\n", "\n", " # model 1\n", " sp.plot(extraData[:,0], extraData[:,1], color=\"red\")\n", "\n", " \n", " # draw in the sponge star, anelastic cutoff, and base cutoff density\n", " #sp.plot([r_an, r_an ], [clims[0], clims[1]], color=\"0.65\")\n", " #sp.plot([r_sp, r_sp ], [clims[0], clims[1]], color=\"0.65\")\n", " #sp.plot([r_bc, r_bc ], [clims[0], clims[1]], color=\"0.65\")\n", " \n", " sp.set_xlabel(\"r (cm)\")\n", " sp.set_ylabel(\"sound speed (cm/s)\")\n", "\n", " #ax = pylab.gca()\n", " sp.xaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", " #ax.yaxis.set_major_formatter(pylab.ScalarFormatter(useMathText=True))\n", "\n", " sp.set_xlim(rlims[0], rlims[1])\n", " sp.set_ylim(clims[0], clims[1])\n", "\n", " #-------------------------------------------------------------------------\n", " #pylab.subplots_adjust(hspace=0.1)\n", "\n", " #f = pylab.gcf()\n", " fig.set_size_inches(6.0,12.0)\n", " fig.tight_layout()\n", "\n", " fig.savefig(\"initial_model_paper.png\", bbox_inches='tight')\n", " fig.savefig(\"initial_model_paper.eps\", bbox_inches='tight')\n", " \n", "\n", "#plot_initial_model(\"/u/sciteam/ajacobs/Projects/SubChandra/Runs/08025-2lev-hot/run/sub_chandra.M_WD-0.80.M_He-0.025.hse.C.2560\",\n", "# (1.e7, 5.e8), (1.e0, 1.e8), (0., 1.1e9), (1.e7, 1.e10), 1.1e4, 1.1e4, 2.0, 1.e4)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 116 }, { "cell_type": "code", "collapsed": false, "input": [ "#Plot 2D data from a file with data columns using the given columns\n", "def col_plot(datafile, xcol, ycol, title, xlab, ylab, xord=0, yord=0):\n", " import numpy as np\n", " import matplotlib.pyplot as plt\n", " from matplotlib.ticker import FuncFormatter\n", "\n", " #Extract the data\n", " x, y = np.genfromtxt(datafile, comments='#', skip_header=2,usecols=(xcol-1, ycol-1), unpack=True)\n", "\n", " #Create plot objects\n", " fig = plt.figure()\n", " axes = fig.add_axes([0.15, 0.1, 0.75, 0.8]) # lower, bottom, width, height (range 0 to 1)\n", " axes.plot(x, y)\n", " \n", " #Set plot properties\n", " if(xord > 2):\n", " #If the preferred x order of magnitude > 2, then do some formatting\n", " axes.xaxis.set_major_formatter(FuncFormatter(lambda x, pos: ('%.1f')%(x * pow(10,-xord))))\n", " axes.set_xlabel(xlab + r'$\\times$ $10^{0}$'.format(xord))\n", " else:\n", " axes.set_xlabel(xlab)\n", "\n", " if(yord > 2):\n", " #If the preferred y order of magnitude > 2, then do some formatting\n", " axes.yaxis.set_major_formatter(FuncFormatter(lambda x, pos: ('%.1f')%(x * pow(10,-yord))))\n", " axes.set_ylabel(ylab + r'$\\times$ $10^{0}$'.format(yord))\n", " else:\n", " axes.set_ylabel(ylab)\n", "\n", " axes.set_title(title)\n", "\n", " plt.show()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 117 }, { "cell_type": "code", "collapsed": false, "input": [ "def print_overview():\n", " print '=== Queue Overview ==='\n", " print '--------------------------------------------------------------------------------'\n", " !showq -n -w user=ajacobs\n", " print ' '\n", " print '=== Memory Overview ==='\n", " print '--------------------------------------------------------------------------------'\n", " !quota -Qugs\n", " print ' '\n", " print '=== Core-hour Overview ==='\n", " print '--------------------------------------------------------------------------------'\n", " !showusage\n", " ustr = !showusage\n", " tokens = ustr[5].split()\n", " me = float(tokens[6]) / float(tokens[1]) * 100\n", " proj = float(tokens[3]) / float(tokens[1]) * 100\n", " print 'My usage %: ', me\n", " print 'Proj usage %:', proj\n", " print 'My fraction of proj usage %:', me/proj*100." ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 118 }, { "cell_type": "code", "collapsed": false, "input": [ "def display_parameters(stg_dir, ncol):\n", " \"\"\"Search the run staging directory and return a list of displayable HTML tables showing\n", " parameters for each run found.\"\"\"\n", " #Imports\n", " from IPython.display import HTML\n", " from glob import glob\n", " import sys\n", " \n", " #Loop over all run directories in staging directory. Use what's found to build\n", " #up a display object.\n", " # --> Ignore directory 'inactive'\n", " # --> Assume /[output | run | plots] naming scheme\n", " \n", " #Get list of directories\n", " dirlist = !ls $stg_dir\n", " \n", " #Remove the inactive directory\n", " if dirlist.count('inactive') > 0:\n", " dirlist.remove('inactive') \n", " \n", " #Remove any directories that don't have the expected files\n", " for curdir in dirlist:\n", " glist = glob(stg_dir + '/' + curdir + '/run/_params.*')\n", " if len(glist) == 0:\n", " dirlist.remove(curdir)\n", " glist = glob(stg_dir + '/' + curdir + '/run/inputs_3d*')\n", " if len(glist) == 0:\n", " dirlist.remove(curdir) \n", " \n", " #Make several html strings, each having a table with ncol runs\n", " #Convert those strings into HTML objects, append to htmllist\n", " htmllist = []\n", " for sublist in list_split(dirlist, ncol):\n", " #Write opening\n", " htmlstr = r'' + \"\\n\"\n", " \n", " #Add each row\n", " htmlstr += label_row(sublist)\n", " htmlstr += mass_row(sublist, stg_dir)\n", " htmlstr += param_row(sublist, stg_dir, r'T$_{\\mathrm{CO}}$ [K]', 'temp_core')\n", " htmlstr += param_row(sublist, stg_dir, r'T$_{\\mathrm{base}}$ [K]', 'temp_base')\n", " htmlstr += param_row(sublist, stg_dir, r'R$_{\\mathrm{max}}$ [cm]', 'xmax')\n", " htmlstr += inputs_row(sublist, stg_dir, r'anelastic_cutoff [g cm$^{-3}$]', 'anelastic_cutoff')\n", " htmlstr += inputs_row(sublist, stg_dir, r'base_cutoff_density [g cm$^{-3}$]', 'base_cutoff_density')\n", " htmlstr += inputs_row(sublist, stg_dir, r'species_pred_type', 'species_pred_type')\n", " htmlstr += inputs_row(sublist, stg_dir, r'octant', 'octant')\n", " htmlstr += inputs_row(sublist, stg_dir, r'Levs', 'max_levs')\n", " \n", " #Write closing\n", " htmlstr += r'
'\n", " \n", " htmllist.append(htmlstr)\n", " \n", " return htmllist\n", "\n", "def list_split(l, n):\n", " \"\"\"Split a list up into sublists of len <= n\"\"\"\n", " sublists = []\n", " sub = []\n", " for item in l:\n", " sub.append(item)\n", " if len(sub) == n:\n", " sublists.append(sub)\n", " sub = []\n", " else:\n", " sublists.append(sub)\n", " \n", " return sublists\n", " \n", "def label_row(dirlist):\n", " \"\"\"Return string corresponding to html table row describing labels of dirs in dirlist.\"\"\"\n", " ret = r' ' + \"\\n\"\n", " ret += r' Model Label' + \"\\n\"\n", " for curdir in dirlist:\n", " ret += r' ' + curdir + r'' + \"\\n\"\n", " ret += r' ' + \"\\n\"\n", " return ret\n", "\n", "def mass_row(dirlist, stg_dir):\n", " \"\"\"Return string corresponding to html table row describing mass configuration of runs in dirlist.\"\"\"\n", " from glob import glob\n", " ret = r' ' + \"\\n\"\n", " ret += r' (Core, Shell) Mass [M$_\\odot$]' + \"\\n\"\n", " for curdir in dirlist:\n", " pfile = glob(stg_dir + '/' + curdir + '/run/_params.*') #Grab first parameter file found, should only be one\n", " m_core = get_param(pfile[0], 'M_tot')\n", " m_shell = get_param(pfile[0], 'M_He')\n", " mstr = '(' + str(m_core) + ', ' + str(m_shell) + ')'\n", " ret += r' ' + mstr + r'' + \"\\n\"\n", " ret += r' ' + \"\\n\"\n", " return ret\n", "\n", "def param_row(dirlist, stg_dir, label, param):\n", " \"\"\"Return string corresponding to html table row with the given label and parameter for all runs in dirlist.\"\"\"\n", " from glob import glob\n", " ret = r' ' + \"\\n\"\n", " ret += r' ' + label + r'' + \"\\n\"\n", " for curdir in dirlist:\n", " pfile = glob(stg_dir + '/' + curdir + '/run/_params.*') #Grab first parameter file found, should only be one\n", " pstr = get_param(pfile[0], param)\n", " ret += r' ' + pstr + r'' + \"\\n\"\n", " ret += r' ' + \"\\n\"\n", " return ret\n", "\n", "def inputs_row(dirlist, stg_dir, label, param):\n", " \"\"\"Return string corresponding to html table row with the given label and input parameter for all runs in dirlist.\"\"\"\n", " from glob import glob\n", " ret = r' ' + \"\\n\"\n", " ret += r' ' + label + r'' + \"\\n\"\n", " for curdir in dirlist:\n", " pfile = glob(stg_dir + '/' + curdir + '/run/inputs_3d*') #Grab first inputs file found, should only be one\n", " pstr = get_param(pfile[0], param)\n", " ret += r' ' + pstr + r'' + \"\\n\"\n", " ret += r' ' + \"\\n\"\n", " return ret\n", "\n", "def get_param(pfile, param):\n", " \"\"\"Return parameter param from a simple paramater file pfile containing 'val = param' entries.\"\"\"\n", " #Open file\n", " param_file = open(pfile, 'r')\n", " ret = -1\n", " \n", " #Search file line-by-line looking for param\n", " for line in param_file:\n", " if(line.find('=') != -1):\n", " tokens = line.partition('=')\n", " key = tokens[0].strip()\n", " val = tokens[2]\n", " if(key == param):\n", " ret = val\n", " break\n", " \n", " #Close file\n", " param_file.close()\n", " \n", " return ret.strip()\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 119 } ], "metadata": {} } ] }