{ "cells": [ { "cell_type": "markdown", "id": "de58e998", "metadata": {}, "source": [ "# Melt thermometers" ] }, { "cell_type": "markdown", "id": "192c76dd", "metadata": {}, "source": [ "In this notebook we benchmark MagmaPandas codes for melt-only thermometers by reproducing calculations and/or figures from literature. When possible, we compare MagmaPandas results to results from codes or data provided with the original publication of the model. Unfortunately, in many cases these are not available, in which case we've compiled the input data ourselves. In these cases, we cannot be 100% sure that we use exacly the same input data and small differences between MagmaPandas results and data in published figures are expected." ] }, { "cell_type": "code", "execution_count": 1, "id": "ab1286ec", "metadata": {}, "outputs": [], "source": [ "import MagmaPandas as mp\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import matplotlib.image as mpimg\n", "import geoplot as gp\n", "import Thermobar as tb\n", "\n", "from MagmaPandas.model_calibrations import get_calibration_data\n", "from MagmaPandas.tools.modify_compositions import _remove_elements\n", "\n", "mm = 1 / 25.4" ] }, { "cell_type": "markdown", "id": "655150da", "metadata": {}, "source": [ "### Putirka (2008), eqs. 13-16 and 22 " ] }, { "cell_type": "markdown", "id": "6c915d91", "metadata": {}, "source": [ "We benchmark the models from {cite:t}`Putirka2008a` by comparing our temperatures with those calculated with the excelsheet available on [Putirka's personal website](https://sites.google.com/mail.fresnostate.edu/keithputirka/home). For eq. 22 we use D(Mg) calculated from Beattie.\n", "\n", "As input data we use the Sun Fe3Fe2 calibration database, as this includes a wide range of (hydrous) compositions. Note that the putirka thermometers have not been calibrated for some of these compositions, so the calculated temperatures are not neccessarily realistic. However, for benchmarking that is not important, as we're only demonstrating that MagmaPandas results match those of the putrika excelsheet.\n", "\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "52143348", "metadata": {}, "outputs": [], "source": [ "putirka_temperatures = pd.read_csv(\"./data/melt_thermometers/melt_thermometer_putirka2008.csv\")\n", "calibration_sun = get_calibration_data(parameter=\"Kd\", model=\"sun2020\").set_index(\"run\", drop=True)\n", "\n", "# only use the elements included in the excel sheet\n", "elements = [\"SiO2\", \"TiO2\", \"Al2O3\", \"FeO\", \"MnO\", \"MgO\", \"CaO\", \"Na2O\", \"K2O\", \"H2O\"]\n", "compositions = mp.Melt(calibration_sun.loc[:,elements], units=\"wt. %\", datatype=\"oxide\")" ] }, { "cell_type": "code", "execution_count": 3, "id": "11b8cc91", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/thomas/Dropbox/research/python/packages/MagmaPandas/src/MagmaPandas/tools/calibration_range.py:36: UserWarning: samples ('M172', 'M165', 'M265', 'M278', 'M282', 'M289', 'M295', 'A471', 'A472', 'A482', 'A500', 'A483', 'A486', 'M363', 'M343', 'od109', 'od109', 'od108', 'od108', 'od111', 'od111', 'od103', 'od103', 'od101', 'od101', 'od102', 'od102', 'od110', 'od110', 'od107', 'od107', 'od104', 'od104', 'G217', 'G227', 'JER15-63', 'JER15-51', 'JER16-74', 'JER15-57', 'JER15-60', 'JER16-75', 'JER15-73', 'JER15-62', 'JER15-68', 'JER15-43', 'JER15-48', 'JER15-53', 'JER15-54', 'JER15-37', 'JER15-39', 'JER15-67', 'JER15-65', 'JER15-64', 'JER15-55', 'JER15-69', 'JER15-61', 'JER15-59', 'JER15-56', 'JER15-36', 'MA165', 'MA166', 'MA167', 'MA180', 'MA181', 'MA185', 'MA190', 'MA192', 'MA193', 'MA200') have compositions outside the thermometer calibration range\n", " w.warn(\n", "/Users/thomas/Dropbox/research/python/packages/MagmaPandas/src/MagmaPandas/tools/calibration_range.py:36: UserWarning: samples ('M172', 'M165', 'M265', 'M278', 'M282', 'M289', 'M295', 'A471', 'A472', 'A482', 'A500', 'A483', 'A486', 'M363', 'M343', 'od109', 'od109', 'od108', 'od108', 'od111', 'od111', 'od103', 'od103', 'od101', 'od101', 'od102', 'od102', 'od110', 'od110', 'od107', 'od107', 'od104', 'od104', 'G217', 'G227', 'JER15-63', 'JER15-51', 'JER16-74', 'JER15-57', 'JER15-60', 'JER16-75', 'JER15-73', 'JER15-62', 'JER15-68', 'JER15-43', 'JER15-48', 'JER15-53', 'JER15-54', 'JER15-37', 'JER15-39', 'JER15-67', 'JER15-65', 'JER15-64', 'JER15-55', 'JER15-69', 'JER15-61', 'JER15-59', 'JER15-56', 'JER15-36', 'MA165', 'MA166', 'MA167', 'MA180', 'MA181', 'MA185', 'MA190', 'MA192', 'MA193', 'MA200') have compositions outside the thermometer calibration range\n", " w.warn(\n", "/Users/thomas/Dropbox/research/python/packages/MagmaPandas/src/MagmaPandas/parse_io/parse.py:61: UserWarning: NiO, CoO missing in composition and set to 0.\n", " w.warn(\n" ] } ], "source": [ "thermometers = [f\"putirka2008_{i}\" for i in (13, 14, 15, 16, 22)]\n", "T_K_predict = pd.DataFrame(index=compositions.index, columns=thermometers)\n", "\n", "for thermometer in thermometers:\n", " mp.configuration.melt_thermometer = thermometer\n", "\n", " T_K_predict[thermometer] = compositions.temperature(P_bar=calibration_sun[\"P_bar\"])" ] }, { "cell_type": "code", "execution_count": 4, "id": "15a72b2a", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mm = 1 / 25.4\n", "gp.layout(colors=gp.colors.bright)\n", "\n", "limits = np.array([750, 3000])\n", "\n", "fig, axs = plt.subplots(3, 2, figsize=(180 * mm, 220 * mm), sharex=True, sharey=True)\n", "\n", "for thermometer, ax in zip(thermometers, axs.flatten()):\n", " ax.plot(limits, limits, \"--\", c=\"k\")\n", " ax.plot(putirka_temperatures[thermometer], T_K_predict[thermometer]-273.15, lw=0., ms=6)\n", "\n", " ax.set_xlabel(\"Putirka excelsheet temperature (C)\")\n", " ax.set_ylabel(\"MagmaPandas temperature (C)\") \n", " ax.set_title(thermometer) \n", "\n", "axs.flatten()[-1].axis(\"off\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "1bd5e881", "metadata": {}, "source": [ "### Sun et al. (2020)" ] }, { "cell_type": "markdown", "id": "1e2a6643", "metadata": {}, "source": [ "{cite:t}`Sun2020a` provide an excelsheet to calculate temperatuers with their equation 6. We compare magmapandas results to those from the excelsheet. As input data we use their calibration dataset. This dataset is also used to calibrate their olivine-melt Fe-Mg Kd model." ] }, { "cell_type": "code", "execution_count": 5, "id": "551991ed", "metadata": {}, "outputs": [], "source": [ "sun_file = \"./data/melt_thermometers/melt_thermometer_sun2020.csv\"\n", "temperatures_sun = pd.read_csv(sun_file, index_col=[0])\n", "P_bar = temperatures_sun[\"P_bar\"]\n", "\n", "calibration_sun = get_calibration_data(parameter=\"Kd\", model=\"sun2020\").set_index(\n", " \"run\", drop=True\n", ")\n", "\n", "# only use the elements included in the excel sheet\n", "elements = [\n", " \"SiO2\",\n", " \"TiO2\",\n", " \"Al2O3\",\n", " \"Cr2O3\",\n", " \"FeO\",\n", " \"MnO\",\n", " \"MgO\",\n", " \"CaO\",\n", " \"Na2O\",\n", " \"K2O\",\n", " \"P2O5\",\n", " \"NiO\",\n", " \"H2O\",\n", " \"CO2\",\n", "]\n", "compositions_sun = mp.Melt(\n", " calibration_sun.loc[:, elements], units=\"wt. %\", datatype=\"oxide\"\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "id": "8baf4fbc", "metadata": {}, "outputs": [], "source": [ "mp.configuration.melt_thermometer = \"sun2020\"\n", "\n", "temperatures_sun_magmapandas = compositions_sun.temperature(P_bar=P_bar)" ] }, { "cell_type": "code", "execution_count": 7, "id": "a8a82314", "metadata": {}, "outputs": [ { "data": { "image/png": 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0NW7cmMjISFauXGlpGzVqFM7Oznh7ezN48GCWL19ekkMSQtiIwWhg0YZ5/Ja0DQ8fIwnvFJ2tz8lJw8ieYyrtfNh3q0Q97b59+3LfffdRs2ZNOnfuTL169cjLy+PIkSNs27aNvn378tZbb1m147lz59K/f38yMjIwmUxFziL7+/uTkpICQEpKSpGe/u3a9u7de8v96nQ6lFKWx25ubri5lf79s4X7uHZfjkTy25cj5x+3dBSb0uLp+i/zrekFRkjcYh4WaR6rpaCgwCGOq6y/ByXdT4mKdv/+/enfvz/bt28nISGBw4cPU6VKFbp3787s2bOpVauWVeFmzJjB8ePHWbBgAXl5eZbe983CX9tuTVtxfH19izyeOHEikyZNKnF2a+n1epu9d1mQ/PbliPnfeeQDPt0UwvzxswkaYOSe7nqCokH/my/98p/ld5/fyMvLs3fMEiur70FJPxOrzuF27dqVrl273lGgQrNnzyY+Pp4NGzZQpUoVqlSpAsD58+ctve3k5GRLcfX19SUpKalIW2xsbJG2du3a3fC6m0lJScHT09Py2JY9bb1ej7u7+w1/lByB5LcvR82/b98+PDw8eOn+CYyJfZElGxfw5YyFeHc5i0YDY2IcZ7a+sv4e5Ofnl+yJqgy9//77qnXr1iozM7PI9mHDhqkpU6YopZTavXu3uueee1R+fr5SSqkpU6aoYcOGKaWUOnnypKpTp47KyMhQSim1dOlSFR0drYxGo8rIyFC+vr7q0KFDxe5bp9MpQOl0Otsc3HVMJpO6fPmyMplMZbK/0ib57csR8//++++qZs2aqn///kqpq8egN+jVwvUfq2cXP27nhNYp6+9BSWtUmRXt1NRUBaiAgAAVHh6uwsPDVfv27ZVSSp05c0b16tVLBQUFqdDQUJWQkGB5XU5Ojho8eLAKDAxUTZo0Ud98842lzWg0qtGjR6uAgAAVEBCgPvroo5vuX4q2dSS/fTla/l27d6mabasr/0fqqaysLKWU4x3D9cpr0dYo5QBnBEpBdnY2Xl5e6HS6IsMjtqKUIi8vDw8PD4f6720hyW9fjpLfYDQwbdkUFm+dQ7OHQL/Pn52TDwGOcww3U9b5S1qjrJ445Ny5c2zbtg0Ao9GIwWC485RCCIdUeFlfl2ktWXX5Y+p1VDSJVbi4uNg7WoVnVdGOj4+nffv2DB06FIC//vqLgQMH2iKXEKIcG7X4Gab8MIFT2cn4NDVy+YK9E1UeVhXtGTNm8Pvvv1OzZk0AwsPDSU5OtkkwIUT5k6PPYdj8Ifx89HuaDjBRtTYERoFM9ll2rPqonZyc8PHxKbLN1dW1VAMJIcqfwuGQ8MmNSQ74gb6zCmjSC5z+N1HflUyZT6SsWHWddvXq1Tl79qxlUH7z5s2WXrcQouIat3QUCenf0+3totOr8r/LGO7xlvlEyopVRfvdd98lNjaWxMREunfvzvHjx1m1apWtsgkhyonZQ+cy5rM81k34keD7TJbpVc09bC0mk5IVZ8pIiYu2yWSioKCATZs28euvv6KUonPnztSoUcOG8YQQ9lS4RNji7R/hc+85+jxtInnH1XlEGtRowIM8Lz3sMlTiou3k5MTYsWPZvXs3ffv2tWUmIUQ58cJnI9mY9h3dJt58elXpYZctq05ENmvWzDKdqhCi4io88bgrMQEPHyNrJ2hI3ugu06uWA1aNaZ87d46IiAi6du1KtWrVLNtXrFhR6sGEEGWvcDikcBHe9m+ZF+E9OCOAh3ieJTM+xrvLWblKxI6sKtqPPvoojz76qK2yCCHsbNzSUWxO/54u1y3Cq9U6M7LnGJ7qPoLPExbLGLYdWVW0hw0bZqscQgg7MxgNtPQNZ/PRn9k49QqNu0FQT1VkEV5XrauMYduZVUV7+PDhxW7/7LPPSiWMEKLsWa4Q2fYR+XVO4RFspOvTsOtftcndXVWGQ8oZq4p2mzZtLP/W6/V89913tGrVqtRDCSHKzphPR/Dz8Xi01Yw0bgopv4GzFnxq1GTDy3tkOKScsapoFy6wW+j5559n0KBBpRpICFE2CnvY+9J3UcPfhJOreR6RtD1XnyPDIeWPVUX7eh4eHiQlJZVSFCFEWSrSw25m7mHD1bscZUikfLKqaE+YMMHy74KCAvbu3UtoaGiphxJC2E5hD3v/6d8I7q3Bv4f5lvTCHrbMI1K+WVW0q1atevWFWi3PP/88Dz30UKmHEkLYTuHkT51fK3pZn8wj4hisKtoPPPAALVu2LLLtjz/+uGGbEKL8mvv0AiYvqcEXoz+h2UNOBPU24aSVHrajsOo29qeeeqpE24QQ5dev239l3ssLCUvtzCCn6fwxw5+UjR6WHrbcml6+lainfeHCBc6dO4der+fw4cMUrgWs0+m4fPmyTQMKIUqHwWhg6heTWfDtR3Tpci8rV67Ew8ODkb1Gy2V9DqRERfurr77iww8/JD09ndjYWMt2Ly+vIicnhRDlj8FoYMnGT/jwl/dQNS9SrakLK2eYCzbIZX2OpkRF+8UXX+TFF19k2rRpvPHGG7bOJIQoBdcWa71LFkF9Fam7wcnF2VKwheOx6kTkG2+8QUFBAcnJyej1est2uexPiPLFYDQQM7M7RzL2ExKrCPzfZX2nfseyXKBwTFYV7XXr1vHMM8+QkZFB1apVuXjxIr6+viQmJtoqnxDiDrzw2UgSDQeIeUcVXdNRODyrrh6ZOHEiv/76K82aNSMjI4MvvviCwYMH2yqbEMJKhYsX/DdtJ04axdpX4dgvWBYvMOSCMin7hhR3xaqetkajwc/PD6PR/BPwxBNPEBkZaZNgQgjrjfl0BD8fiwcXIwHdoXE3SN4Ba17REBIDBXrQmqTr7cisKtouLi4ANGrUiFWrVuHn50daWppNggkhrGMwGjhx5hhOHkaiJlNkTceTv2gZrH2b7zz/j4C6QfYNKu6KVUX7xRdfJCsri7fffptHH32UixcvMmfOHFtlE0KUkMFooO/MHiTmH8C/K2x5F/y6QEA3LIsYjO41jtG9xtk3qLhrJS7aBQUFuLq6UrNmTdq0acPx48dtmUsIYYUxn47gaNZ+NK6KExsgqBcoE2yeAfe01+DiJEMiFUWJT0Q6OzvzwQcf2DKLEMJKBqOB+evnsunYWoJ6mXDWgtZNg0YDKTuhYRsNZxN86B7Ux95RRSmx6uqRtm3bsnOn3OoqhL0VFuvwyY35puA1erxzieAYcKsOntpaXN7pT2BHd85v86Frk24yn0gFYtWY9tatW5k3bx7BwcFUq1bNsn337t2lHkwIcXPjlo5ifeoKuk0tuOE67BpVrlkmrMlOKdgVjFVF+8MPP7RRDCGENeY+vYAX/q348ZXlhMRCk17IqumVhFVFu1u3bhQUFJCamoq/v7+NIgkhbuXMxTN0mdSaXOcsQu6DI6vh3FZv6nbLwnAJCqrIMmEVmVVj2tu2bcPPz89yQ82ePXsYOnSoTYIJIYo6c/EMoS81psXrjTFUz6JuGITEgIuHhgNvJzJY+w4BHi0JrRNu76jChqwq2hMmTGDLli34+PgA0K5dO/773//aJJgQwsxgNDB33Qc0f7kxWQVnaH4/OLvA5QtXn+OqdWV0r3FsnLRLxrArOKuGR4xGI4GBgUW2ubq6lmogIcRVBqOB3tO7cSzrAC0GQVBP89j16QOATCFSKVlVtN3d3cnJybFM7fjXX3/h7u5uk2BCCHjx8+dJNv5B33e54SqRnPPmyaCUDGFXKlYNj7zxxhv06dOH9PR0nnrqKaKjo5k2bVqJXz9u3Dj8/f3RaDQcPHjQsn3v3r106tSJVq1a0axZM9577z1LW25uLkOGDCEoKIjg4GDi4+MtbSaTibFjxxIYGEhQUBDz58+35nCEKNcMRgOBdYPIy9Swfiqc2Hh1tj4AjQaO/+iKtkA6TpWJVT3t3r1706RJE9atW4dSismTJxMUVPLJZwYNGsSECRPo2rVrke0jRozgzTffZMCAAWRmZtK0aVP69etHaGgos2fPxs3NjRMnTpCYmEinTp3o0aMHNWvWZNmyZRw6dIhjx46h0+lo3bo1UVFRNG3a1JrDEqLcyczJpO3E5qgaOu77ADTOkLjFfFt6o/Zw5RKYCuC+Vv1lDLuSsaqnDVCvXj1atWpFmzZtaNiwoVWvjYyMpFGjRsW2Xbx4EYDLly/j6uqKt7c3AHFxcYwZY77WtHHjxkRGRrJy5UpL26hRo3B2dsbb25vBgwezfPlyaw9JiHLDYDTw0bp/EzbpHu6J0dE40jz5098bzJM/dZ8I57b44HzZCxeThxTsSsiqnvbmzZt57LHHqF+/Pkopzp49y9dff023bt3uKsTSpUu5//77mTx5MufPn2fRokXUq1cPgJSUFPz8/CzP9ff3JyUl5aZte/fuveW+dDqdZTV5ADc3N9zcSn8yncJ9XLsvRyL5y16OPofOb7Tmknsafd+7OoYd0APWvwGpu829bG/PGmx//U+gfB+fI34PrlXW+Uu6H6uK9rhx4/jhhx/o0KEDYL59/ZlnnuHPP/+0PuE1Zs2axaxZsxg8eDAnT56ke/futG/fnpCQEKDomnbXH9it2orj6+tb5PHEiROZNGnS3cS/pWvX0nREkr9sGIwGWr3elEv5OjSXYe2rUK0OdJsAzlow5WtoFKk49pMTMWEtyMvLs3fkEnOU78HNlFX+kn5PrSraVatWtRRsgPbt21O1alXrkl3nwoULfP/993z11VcABAQE0KFDB3799VdCQkLw9fUlKSmJ2rVrA5CcnExsbCyApa1du3aWtuuL8vVSUlLw9PS0PLZlT1uv1+Pu7u6QC6lK/rJjMBp46P37yMrT4eRkLtLV6kB+3tUxbF/vxvgntSS7+l4+G/l/9o5cIo70PShOWefPz88v0fOsGtO+9957Wbbs6hjaV199Rd++fa1Ldp2aNWvi7u7Oli1bAHMR37VrF2FhYQA8/PDDzJs3D4DExES2bNnCgAEDLG0LFy6koKCAzMxM4uLieOSRR265Py8vryJfhd8QW3wBNnvvsviS/GXzNeyjx9iX+F9c3MCtKtRoCGjArZp5DPvIGmhetxVfjP6afTOO2z1vRfwelJf8JaFRVgzY1K5dm4yMDEvP9MqVK5a7IzUaDefOnbvl68eMGcPKlSs5c+YMtWrVolq1apw4cYINGzbw6quvYjQayc/P57nnnuPFF18EzCcmhw8fzu+//46TkxMzZsxg0KBBgHlhhnHjxrFu3ToA/vnPf/LCCy8Uu+/s7Gy8vLzQ6XRFetq2opQiLy8PDw+PEn8zyhPJb3snzpzg3ilt0BsNaLXg7AahA8xj107OkHPOfDPN8V80pP87195xreYI34NbKev8Ja1RVhXt5OTkW7Zfe1KwvJGibR3Jb1s5+hwajaqNswu4ekDTfpC2F3q8Dlv+d5tC3nlnajjVw1mrYd8Mx1spqrx/D26nvBZtq8a0y3NRFsJRZOZkEvqyP+7VoWns1VvT0/ddfU7+ZQ1uWncOzDzukAVP2I7ViyC8/vrrJCYmYjQaUUqVaFhECGGWo88h5B++VK1XUGTFdMAyl4jhMlQz+dC2cddi30NUblYV7WeeeYYZM2bQpk0bnJ2dbZVJiArJYDTQ8pUmFKgCrlyGDVMhoDsERZt72oVziVy5BD2bd2POY4vsHVmUQ1YVbW9vbx5++GFbZRGiwjIYDURP64pOfxE3T3BxA/974djPkLIL/LuCUvD3Snfq1qjFomf+41DXYouyY1XRfvzxx1m4cCEPP/xwkdn9qlSpUurBhKgozlw8Q+vXmmJ0ukIVHwiMgqAoc+869TdAwbnDUGCA9PlZgOPeRShsz6rrtH18fHjppZeoXbs21atXp1q1alSvXt1W2YRweAajgbBXAilwvkJVH+j1JgT3vrqeo+EyNGwHF45oaOBZ/Lw8QlzLqqI9adIktmzZQn5+PgUFBZhMJgoKCmyVTQiH98wnwzCZTOAEVetAwjtFp1jVAC77w+nf6kGHvKxPlD2rhkcaNmxI27ZtbZVFiAojR5/DyEXD+PnPn6hWHzzrw6V06PmmeYrVn8ZDkz6AcmLT5F32jisciFVFu2fPnrz66qs88sgjRca0Q0NDSz2YEI7KYDQQPj6Y7IIsnN0gPwdqB0NWorlnHRQNh9fAoR+gkU8De8cVDsaqov3ll18CsGLFCss2jUbDyZMnSzeVEA7KYDTQc1pXsguy0GrNdzoG9jCPYR9ff3UCKCeNhoHtHpT5sIXVrCraiYmJtsohRIUwctHT/JX2J9XqQ+OucDHl6klHFDRoA0fXaKjv2VAKtrgjVq9cs3LlSt59910A0tPT73oubSEqkvUH1uJaHYx5gIKspKsnHZWCI6ugvmdDOeko7phVRXvq1KksWLCATz/9FDAPjYwaNcomwYRwJCkXUvAbU4cC1zxC+kDfdyA4xryO408T/rdquoJGPo2kYIu7YtXwyA8//MDvv/9uuYKkfv36XLp0ySbBhHAEOfocnlv0NOv+WE31ehB73XwiBQYIiIK/vocqbh5SsMVds6qn7e7uLnOOCHGNLm+0Yd0fq6laB6rVg18mX3cdtkaD0+8tqOLmQfKcTPuGFRWC1VOzbt++HY1Gg8lkYsaMGbRo0cJW2YQotwxGAws2fExaZgqunoAJagXBpdOgTFevElEm2Dp1t73jigrEqqI9d+5chg0bxsGDB6lSpcoNy48JURnk6HNo/3pLzuWexqUK+ASYh0SC+0Dyr5Cy8+pVIm7O7rd/QyGsYFXRrlu3LuvWrSM3NxeTyUS1atVslUuIcikzJ5NmL/mRbzLiXh3cvaBuKKT8Zm43XIaAHnD0J2hYQ64SEaXPqjHt9u3bA+ZZ/QoLduE2ISq6HH0OwS82ogAjrlXMEz9FTTLP2uf0v98kF2cXAlIG0rCGXCUibMOqnrbRaCzyuKCggJycnFINJER5VHhrunJWVK/DDavO5GbC0XXg4uTGF6O/tl9QUeGVqKc9a9YsateuzcGDB6lTp47ly8vLi3vvvdfWGYWwqxx9DuGvhHDRkIXWFarVvXG2Pmc3OLbGie5BfewbVlR4Jeppjxw5kocffpjnn3+eBQsWWLZ7enpSs2ZNm4UTwt7OXDxD85cDAEX1+ld72AVG82x9a14xn4A05GjoF/GA3JoubK5ERdvLywsvLy/Wrl1r6zxClCstxzdB46yoWse8JNiWd8GvCwR0M8/Wd3QtnPqlBveFRUvBFmXCqjFtISqTzJxM/GoFcPzsMS6fhcOrIOS+otdha3DixIen7R1VVCJStIW4To4+h+eWPMXGo2uoFQzebuZe9uHVcHglaN3NCxgcWQ0NvGQ+bFG2pGgLcQ2D0UDLV5qgd7mIR02o1QSCRpmnVz22Dqo0AF2ahsM/KBrVksv6RNmz6jrthQsXotPpABgzZgxt27Zl69atNgkmRFkzGA3EzOzORf1FXKtCj4nmk4xO13RtlElDSONAzi/Kk4It7MKqoj1v3jy8vLzYsWMHBw8eZPr06bzyyiu2yiZEmXp63lAOJO/D1QOq17/xsj6loGqBD6F1wu0bVFRqVhVtrdbc5di0aRNPPvkkffr0ueGGGyEcTY4+h8fmPsS6P36ken2InQWdRkOPSeb2Na/AsZ/NJyA7+neTq0SEXVlVtJ2cnFi+fDlxcXFER0cDYDAYbBJMiLJgMBoInxDC5pM/0WwgVK8H6143L1pQuAivRguHf9BS16ORFGxhd1YPjyxfvpwRI0bg7+/PsWPH6NGjh62yCWFTOfocWr3ajALPTHpOhexUyD4FvWeYFy1Y87K5eKNgQNv7ZQxblAsapZSyd4iykJ2djZeXFzqdDk9PT5vvTylFXl4eHh4eaDQam++vtFX0/AajgWb/9CfjUhYu7qB1Na+cfnw9xL4HP40HoxEK8qCKe9kvYODonz84/jGUdf6S1iirLvnT6/XMnz+f/fv3o9frLdtXrFhx50mFsINn5j/JxbwsPDzNxTqwh/kqkeO/mE8+KhO4mjzw8fGRHrYoV6waHhkxYgQnTpxg69at3Hvvvfz99980bNjQVtmEKHU5+hyGfvwIP/2xkur1oe970KTX1cv6FHDuiHltx5S5mVKwRbljVdHev38/8+fPx9PTk7Fjx5KQkMChQ4dslU2IUtflX21Y+9eP4AyXz8HaV83j1lfXdISzB8HN2cO+QYW4CauGRzw8zD/IWq2W3NxcqlevzqlTp2wSTIjSlKPP4emPHyctIwXXqleHRIxGWPOS+W7H4BgwFcDAtg/JVSKi3LKqaHt7e5OVlUVsbCx9+/bFx8eH+vXr2yqbEKXCfFlfMFmXs6heHxp3hYsp5iERVy24VQW/e+H4j664aJ2lYItyzaqivWbNGpydnZk2bRpfffUVFy9e5Mknn7RVNiHuWo4+h85vtCZHk4WzC1zJBhRkJZmHRArHss9urkFsK5leVZR/VhVtZ2dnADQaDU888YRNAglRmrq80YZ0XRou7lCvBTi7mIdBjm8wX4cdch+YTMj0qsJhlOhEZO3atYssM3b9V0mNGzcOf39/NBoNBw8etGxXSjF16lSCg4MJCwuje/fulrbc3FyGDBlCUFAQwcHBxMfHW9pMJhNjx44lMDCQoKAg5s+fX+IsomIzGA18tmURZ3TpuFWHKj5QpylcvmBud9KCk1bDX986oa442zesEFYoUU977969ACxZsoTMzExGjhyJUopPP/2URo0alXhngwYNYsKECXTt2rXI9rlz5/Lnn39y8OBBXF1dOX36aq9n9uzZuLm5ceLECRITE+nUqRM9evSgZs2aLFu2jEOHDnHs2DF0Oh2tW7cmKiqKpk2bljiTqJhe+GwkPx+Lp2qDAvw6Q1CUuVCn7TG3KxNUca3KqcXn7RtUCCuVqKft5+eHn58fW7duZd68eYSHhxMREcFHH33EmjVrSryzyMjIYov8rFmzePfdd3F1dQUocnIzLi6OMWPGANC4cWMiIyNZuXKlpW3UqFE4Ozvj7e3N4MGDWb58eYnziIrLpExoqyh6vA7Bva+OXeecN1/ipwqQRXiFQ7JqTDs9PZ0LFy5Qq1YtAC5cuFCkV3wnsrOzOX/+PN9//z3fffcdAP/85z955JFHAEhJScHPz8/yfH9/f1JSUm7aVvi/gpvR6XRce+e+m5sbbm5ud3UMxSnch6POEuCo+Q1GA0s2LeCXA6swuhSwYSo07gZNepoLt4uzC35/34fOfS+LnvlPuT0+R/38r+Xox1DW+Uu6H6uK9j/+8Q8iIiK47777APjpp5+YOHGi9emukZ+fj8FgIC8vj127dpGSkkKnTp1o3rw5YWFhAEXu+7/+wG7VVhxfX98ijydOnMikSZPu5hBu6drb/R2RI+U3GA088O9Yjmbtp+lDioBu5jsc1/8LTv7iQnAMuDi58slTnwKQl5dn38Al4Eif/804+jGUVf6S/jxaVbTHjBnDvffey5YtW1BK8cILL9CiRYs7CljIx8eHatWqWa5G8fX1pUuXLuzdu5ewsDB8fX1JSkqidu3aACQnJxMbG2t5blJSEu3atbO0XV+Ur5eSklJkMhZb9rT1ej3u7u4OO1mOo+V/ackLpBj/JOYdhfaab6lHDaht8mOw8yj2Bu203CRWnjni5389Rz+Gss6fn59fsicqO/Dz81N//vmn5fGIESPUvHnzlFJKZWZmKj8/P/X7778rpZSaMmWKGjZsmFJKqZMnT6o6deqojIwMpZRSS5cuVdHR0cpoNKqMjAzl6+urDh06VOw+dTqdApROp7PhkV1lMpnU5cuXlclkKpP9lTZHzP/9D98rt1BnFfzPeqrP+hrqGYO7GmFyV43/5aE6Tw+zdzyrOOLnfz1HP4ayzl/SGmXV3CP//e9/iYmJITg4mICAAMtXSY0ZM4ZGjRqRlpZGz549CQoKAmDGjBmsXbuWsLAw7r33Xl5//XVat24NwPjx48nLyyMoKIg+ffowb948vL29ARg6dCghISEEBwfTrl07xo8fT7Nmzaw5JFGBDOg/gB/eX82f7yXzAG9zYLofKRvdZYkwUaFYNZ92ixYteOGFF+jUqZPlRhuA5s2b2yRcaZL5tK3jKPmv5F/hkdceJE2bSKsmrS13NCql0F3SEbf7K/Ym7XS4Ox0d5fO/FUc/hrLOb5P5tJ2dnXnuuefuOpwQd8t8lcgnvLt6Kv5980hfr8HtXNGbZFy1royMHs1zmjF2SilE6bNqeKRLly7s27fPVlmEuC2D0cD89XNpOcmfFQWv0et9PSExGpycwNnZqh9nIRySVT3tX3/9lSVLlhASEoK7u7tl++7du0s9mBDFGb3kWTakfot/D4Uu7epNM0JUFlb9yH/44Yc2iiHE7eXoc1h3YDUFrubTMNfP1CdEZWDVj3u3bt1slUOImzIYDXyesJh3100laEAeQf+7u/FkAmyaDv5dzXOJFBSY7B1VCJuzqmhfuHCBN998kwMHDhS5S0iGR4QtjVs6is3p39PtbX2Rm2bQQN7FwjUdNXJZn6gUrDpzM3z4cBo1asSZM2d44403qFOnDn36yKQ7wnYMRgOhjZqTfdbI+qlwdN3V9RxNBg3Ne7tx6VhV6ns2dLjL+oS4E1b1tFNSUvjxxx/56quv6N+/P3369KFv3762yiYqscIhkcXbP6JqhxTum6NQmBcuSNsNfl3A2UnLYNfp7GnpeNdhC3GnrCrahVOnurm5kZmZSY0aNUhLS7NJMFG5vfDZSDadiify9fwiQyIubhA5AZJ3gFa5M7LnGEYi12GLysOq4ZGQkBAyMzN54okn6NixIx06dKBVq1a2yiYqMaUUV3LMU6se+/nqkIgGZ/56zx9XPKjnXdeuGYWwB6t62v/5z38AePHFF2nbti1ZWVkyPCJK3ZX8K6T8kYYhv4CQAU4c/1mRsst8lYgTTmyfdIDPExazp85Oe0cVosxZfYXrqVOn2LZtGxqNhq5duxaZg0SIu2EwGliasJhZq96kQUw2/WM0OGkVF/fUxk1VIetYOk4mN/Pt6TIsIiopq4ZHli9fTkREBHFxcSxfvpxWrVqxYsUKW2UTlcy4paN4L+FVIt+9RNN+GstNMzWq1GTHG3/wfPBMopvJ1UqicrNqlr+mTZuydu1aGjduDEBSUhIxMTEcOXLEZgFLi8zyZx175Ndd0tHpsbaokFz8YvJo1C0PJy0ceS+Yra8esOq95PO3P0c/hvI6y59VPe1atWpZCjaY12QsXC9SiDullCL1VCpxvy2j04D2HHgnkQeZxh8z/EnZ6CF3OgpxDavGtHv16sXbb7/Ns88+i1KKzz77jIEDB5KbmwtAlSpVbBJSVFxX8q8w4MW+/GHYTfijLlw638gyZv1U9xFywlGI61g1POLkdPOOuUajoaCgoFRC2YIMj1jH1vkLTzq+9+ObNOyVTXCM5o6HQoojn7/9OfoxlNfhEat62iaT/DdVlI5xS0exPnkF3d4rQOvmeL/QQtjLHc0abzQayc3NtXwJYa3nO7zIudUF7JzsQ8pGD8vNM0KIW7OqaO/evZsWLVrg7u5O9erVLV9ClJTJZMJkMhHeMpxja09y4J2TctJRCCtYVbTHjRvHkiVLaNGiBRcvXuStt95i1qxZtsomKhiTycSYMWMYOXIkAPXr17ecdNw+6QAPMk2mVxXiNqwq2vn5+XTo0AGj0Uj16tWZNGkSP/74o62yiQrEZDIxevRoFi5cSOfOnW9oLyzeMlufELdmVdHWas3nLX18fNi/fz8XLlwgOTnZJsFExWEymXj++edZtGgRn376KcOHD7d3JCEcllVXjzz66KNkZGQwceJEIiMjMRqNvPXWW7bKJiqIL7/8ksWLF/PZZ5/x1FNP2TuOEA7Nquu0r5Wfn49er3eYE5FynbZ1SjN/QUEB27dvL9M1RuXztz9HP4YKcZ02wIkTJzh58iRG49VrtGJjY+8spaiwTCYT48aN48EHHyQqKkoWhRailFhVtF9++WWWLVtGSEiIZUpWjUYjRVsUYTKZGDFiBEuXLqVjx472jiNEhWJV0V65ciWJiYkyx4i4KZPJxNPPPM03e/6PnpO68MQTT9g7khAVilVXj/j5+VnWiRTiegajgX4vxrCWODq/78Flj4v2jiREhWNVT/v999+nf//+9OrVC3d3d8v20aNHl3ow4TgKV05fsuNjag44zYDuGpy0+RzZf0ezJAghbsGqoj1z5kxOnz7N/v37i4xpi8pt7GfPsTH1WyInGYusnC6EKH1WFe3//ve/HDt2TAq1sCgoKODS1iucPXOFja9Xpdl9GsuKM0KI0mfV/1+bNm3K5cuXbZVFOJi8K3lEDu/Metd46nd3oYFPQ5n8SQgbs6o/VL16ddq0aUOfPn2KjGm/9957pR5MlF8Go4HFGz9hxvf/wqmegRa9NKTuNuHi7CwrzghhY1YV7ZCQEEJCQmyVRTgAg9FA35k9OJK5j5BBioBu4KSFU79ffU7h5E8jGWO/oEJUUFYV7SlTptgqh3AQYz97jhTjQfrMVHLSUQg7sKpoT5gw4YZtXl5edOrUiaioqFILJcono9GIbnMep//Ss9/kS51uGZaTjvm5GgrcZAxbCFuz6kTkmTNn+PbbbzEajRiNRr777juOHTvGP//5T6ZPn26rjKIcMBqNDB06lG+/+ZbP//UVu6b8VeSkY9UCH1nAQIiyoKwQHR2tsrKyLI+zsrLUfffdp7Kzs1XTpk2teasyp9PpFKB0Ol2Z7M9kMqnLly8rk8lUJvsrbdfmz8/PV48++qjSarXq22+/LfK8K/lX1ML1H6tnFz9up6TFq0ifv6Ny9GMo6/wlrVFW9bTT09OpUaOG5XGNGjVISkqievXqRa4muZlx48bh7++PRqPh4MGDN7R/8cUXaDQaVq9ebdmWm5vLkCFDCAoKIjg4mPj4eEubyWRi7NixBAYGEhQUxPz58605HFFCWbos/qvbTc9JXXnooYeKtMmKM0KULavGtENDQxk5ciRPP/00Go2Gzz//nJCQEK5cuWK5Q/JWBg0axIQJE+jatesNbWlpaSxcuPCGWeFmz56Nm5sbJ06cIDExkU6dOtGjRw9q1qzJsmXLOHToEMeOHUOn09G6dWuioqJo2rSpNYclbiJXn8u8dXP45s8vafxSFtm7ZaIwIezNqp72Z599hqenJy+88AKjR4+matWqfPbZZzg7O7N27drbvj4yMpJGjRoV2zZy5Ej+/e9/4+ZW9JKEuLg4xowxXzrWuHFjIiMjWblypaVt1KhRODs74+3tzeDBg1m+fLk1hySKYTAa+OSXj2j7RjBrXKfRcmISvtF5ODvLXCJC2JtVPW1PT09mz55dbFvt2rXvOMQnn3xC8+bN6dChww1tKSkp+Pn5WR77+/uTkpJy07a9e/fecl86nQ51zWI9bm5uN/yhKA2F+1B3tjCQXY1e8iwb074j6n3TdZf1KYc5Hkf+/MHx84PjH0NZ5y/pfqyeISI+Pp79+/ej1+st2+7mjsjExEQWL17Mjh07bvqca+c6uf7AbtVWHF9f3yKPJ06cyKRJk0oa12rXfk7lncFo4Iutn7L+j1VUDyng59e0hPVz4Z5uepy0YDKZl19yJI70+RfH0fOD4x9DWeUv6e+WVUX7H//4B3///Te///47Q4YM4ZtvvqFXr153FLDQzp07SU9Pp1mzZoD5ssJnnnmGt99+mxEjRuDr60tSUpKlJ5+cnGxZKaewrV27dpa264vy9VJSUoqsv2bLnrZer8fd3b3cT7BlMBr4fMsSPt3xMTU6n6bXnCs4aTUcnOHPg4zi0xnz8O5yFqUUHh4e9o5bIo70+RfH0fOD4x9DWefPz88v2ROtuSQlLCxMFRQUqJYtWyqllDpz5ozq16+fNW+hlFLKz89P/fnnn8W2devWTa1atcryeMqUKWrYsGFKKaVOnjyp6tSpozIyMpRSSi1dulRFR0cro9GoMjIylK+vrzp06FCx7yuX/N3cc4ueVsFTa6in89zVCNPVry4zwpTJZCq3l/XdiiN9/sVx9PxKOf4xVIhL/tzd3XFyckKj0ZCfn0/dunU5depUiV8/ZswYGjVqRFpaGj179iQoKOi2rxk/fjx5eXkEBQXRp08f5s2bh7e3NwBDhw4lJCSE4OBg2rVrx/jx4y09dlFysx+fi+dhf9a/5M6WGc6YjEXb5bI+IcoPjVIlH2WPiopi9erVTJgwgczMTOrVq8eOHTv47bffbJmxVJR0efrSopR5/NfDw6Nc/9cwJzeHqGciSXI/TPgQV85s9cTDpRreXc6S/Vt9dkw8WK7z34yjfP434+j5wfGPoazzl7RGWdXT/vrrr9FqtcyaNYvmzZvj5OTEN998c9dhRdkzGA3M/3kuYa/44vHYIQYsgsa9DNSs7s32SQd4gGmE1Gpp75hCiOtYdSKybt26ln/b8ooLYXvjlo5iQ8o3RH1gROtWtBfhqnVlZPRohnZ+2k7phBA3Y1XRPnz4MNOnT+fkyZMYjVcHPnfv3l3qwYRtzX16AZ9uimDBWx9SP+qiLBEmhIOw6td08ODBPPnkkwwfPrxEt62L8ufS5Uv0Hd2LOqE1iX91Lc9EjTKvpD7jY7y7nJUlwoQo56wq2i4uLowfP95WWYQNGYwGlmz8hHd+mIpn6zxST5qvty68MkSWCBPCMVhVtGNiYli3bh0xMTG2yiNKmcFo4POExSzaNpcrPqlo6yrqhmnISSso8jxZIkwIx2BV0Y6Ojub+++/H2dkZNzc3lFJoNBrOnTtnq3ziLo35dAQ/H49HW81I4+bQONK8puPJXxzvEiwhhJVF+7nnnuPzzz+ndevWMqbtIDQaDa5VNUS+hqzpKEQFYFXR9vHxYdCgQbbKIkqZXq+n3ilf/tFxGl+88wlendLxj8rHSeu4M68JUdlZdXPNAw88wIIFC8jMzCQ3N9fyJcofvV7PAw88wKz3ZtGhVmd2TP6Dwc4zOTDdj5O/uODiJN1uIRyRVbexOzldrfEajcYypl1QUHCLV5UPlek2dr1ez8CBA9m6dSurVq0iOjra0lZ4YnJP0s5bziUityDbl6PnB8c/hvJ6G7tVwyMmk1zDW97l5+dbCvbq1auJiooq0i5XiQjh2GT9qApGq9XSsWPHYgu2EMLxyY3LFUReXh7btm2jd+/eTJ061d5xhBA2Ij3tCiA3N5cBAwYwaNAgLly4YO84Qggbkp62gyss2Dt37uSnn36iVq1a9o4khLAhKdoOLDc3l34D+rE3Yxc9J99Lt27d7B1JCGFjMjzioAxGAx+v+5AjwbtpM1PDBZVu70hCiDIgPW0HYzAamL9uLp9se58GPXTEzlE4aeHIAfn7K0RlIEXbgRiMBvpM70Zi/n6i3pS5RISojKR75kBGL3mWk/oDVKsH616HExu5YeV0IUTFJkXbQWTpsti59jf0GYpagRrcqmpQJtg8A46t08iKM0JUElK0yzmD0cD89XNp+2YwmugU6reF4BhFdedaXN7pT2BHd84m+BBaJ9zeUYUQZUDGtMsxg9FA77cjOZ59ADdPqNscUn4zt9WoUpMNL+8xT/7U5NaTPwkhKg4p2uVQ4XqOH/7yLnnaLIJjILCHecWZtD1XnyeTPwlR+UjRLofGLR3Fj3+swN2ngF7XrThzJdOFlI1aGcMWopKSMe1yaMrA6bicrcals7BhKhxdd/UqkXu8/XmQaTKGLUQlJT3tcqRwgYJZq9/C/8lsmvQBBax92YmkLYrG3cBkUjIkIkQlJkW7HBm3dBQJ6d9z7zv6IkMigQ0CGdLqGb7d8zWh9YLsF1AIYXdStMuJ7OxsUn88y+BBz7Pu3e/x7nKWRt3ycNKal3Yb3edFRvd50d4xhRB2JmPa5UB2djYxMTHs2LaDfs0Gsn3SAR5kGn/M8Cdlo4ecdBRCWEjRtjOdTkefPn04dOgQ69evp3379pZL+QqLt5x0FEIUkuERO3vkkUc4cuQIGzZsoG3btkXa5DpsIcT1pGjb2dSpU9FqtTcUbCGEKI4Mj9iBTqdj0qRJGAwGOnbsKAVbCFFiUrTL2MWLF+nduzeffPIJiYmJ9o4jhHAwMjxShgoL9okTJ9iwYQMhISH2jiSEcDBStMvI5cuX6dWrFydPnmTjxo20atXK3pGEEA5IhkfKgMFoYNnOz3HunM+GDRukYAsh7liZFu1x48bh7++PRqPh4MGDlu3Dhw8nJCSEiIgIIiMj2b9/v6UtNzeXIUOGEBQURHBwMPHx8ZY2k8nE2LFjCQwMJCgoiPnz55fl4dyWwWhgzurZtJkczPeaN3CuWyAFWwhxV8p0eGTQoEFMmDCBrl27Ftk+cOBAFi1ahFarZfXq1QwePJhjx44BMHv2bNzc3Dhx4gSJiYl06tSJHj16ULNmTZYtW8ahQ4c4duwYOp2O1q1bExUVRdOmTcvysG5gMBpYmrCYRVs+pHrHU3SY9r8V0/fKf2yEEHenTIt2ZGRksdsHDBhg+XfHjh1JTk7GZDLh5OREXFwcn3/+OQCNGzcmMjKSlStX8tRTTxEXF8eoUaNwdnbG29ubwYMHs3z5cqZOnXrTDDqdDqWU5bGbmxtubqW7rPm4paPYfCqeLpOuXLdiuiqy7/KsMKej5L2e5Lc/Rz+Gss5f0v2UuxORc+bMITY2Ficnc680JSUFPz8/S7u/vz8pKSk3bdu7d+8t39/X17fI44kTJzJp0qTSig/AhF6TWT9yIz+NuUDLR1zw7XEFJ615WtW8vLxS3Zet6fV6e0e4K5Lf/hz9GMoqf0lrQ7kq2suWLWPFihVs27atyHaNRmP59/V/jW7VVpyUlBQ8PT0tj23R03ZxdqF2dn2+fPb/OHh5H5/OmId3l7MopfDw8CjVfdmKUgq9Xo+7u3uRz9hRSH77c/RjKOv8+fn5JXpeuSnacXFxvPnmm2zcuJE6depYtvv6+pKUlETt2rUBSE5OJjY2tkhbu3btLG3X96Sv5+XlVaRol6aMjAwMRgNrj/5I2LNBtApvRWePzjzdfaR5Ad46Ox3uh1ej0Thc5mtJfvtz9GMoq/wl3Ue5ODO2YsUKJk+ezIYNG24oug8//DDz5s0DIDExkS1btljGwB9++GEWLlxIQUEBmZmZxMXF8cgjj5R5foD0M+m0H9KKjlNDide8weFz+y1thRM/yYrpQoi7VaZFe8yYMTRq1Ii0tDR69uxJUJB5FZbHH38cvV7P/fffT0REBBEREWRkZAAwfvx48vLyCAoKok+fPsybNw9vb28Ahg4dSkhICMHBwbRr147x48fTrFmzsjwkDEYDM7+ZRvjkIPRh5+k1V49vVB7OzuXi76EQooIp0+GRefPmWXrN17rVWE7VqlWJi4srts3Z2bnY9ysrOfocOk4KJyM/nbDBcHw9OJWbASchREUkJeYO5OhzGPPZCDYeX02TvkY69jAX6xPrzaumS+EWQtiKlJc7cO+Udlx0TaL3TIpch63BmT9m3IN3l7OyRJgQwiZk4PUOfDdmDYaDVfj5VSeO/2LuXQM4Ozlfs0RYhF0zCiEqJinaVjp37hwDYgdg2uXKquHb8P17IOsmaM3F26QsV4oseuY/9o4qhKiAZHjECmfPniUqKorMzEw2b95M06ZN+SL8a8sY90WXW9+NKYQQd0uKdgkZjAaGTBrEhcA0tsbvLrKAQTX3anwx+ms7phNCVBYyPHIbBqOB+T/PocVrjTnVeB9+berJijNCCLuRnvZNGIwGlmz8hH//8g5XtBcJioHU3eDu7m7vaEKISkyKdjEMRgN9Z/bgcMY+mvZTBHQzX3t96nd7JxNCVHZStIsxbukoUgv+IuYddd182EIIYV8ypl2MD4fNR+2qydoXnEne4Ga5Djs/VyM3zQgh7Ep62sVwd3Xn04lfULtObbalbWLJjI/x7nKWqgVVCa0Tbu94QohKTHra10hPT+f111+noKCAyMhImjVtxsieYyx3OXb07ybTqwoh7EqK9v+kp6fTo0cPli1bxtmzZ4u0yXzYQojyQoo2cOrUKbp3705eXh4JCQk0aNDA3pGEEKJYlX5M+8KFC3Tv3h2DwUBCQgIBAQH2jiSEEDdV6Xva3t7eDBo0iM2bN0vBFkKUe5W2aKelpbFp0yacnJyYOXOmFGwhhEOolEU7NTWV7t27M3r0aIxGo032ceXKFaZPn86VK1ds8v62Jvnty9Hzg+MfQ3nNr1FKKXuHKAvZ2dl4eXnx119/0b9/fwoKCkhISMDf398m+9PpdNSoUYOLFy/i5eVlk33YkuS3L0fPD45/DGWdv7BG6XQ6PD09b/q8Snci8r777gOwacEWQghbqXTDI/Xr15eCLYRwWJWmp104ChQXF4eXlxfZ2dk23V/h+2dnZ6PRaGy6L1uQ/Pbl6PnB8Y+hrPMX7u92I9aVZkw7LS2Ne+65x94xhBDillJTU2nUqNFN2ytN0TaZTKSnp1O9enWH/KsvhKjYlFJcunSJBg0a4OR085HrSlO0hRCiIqh0JyKFEMKRSdEWQggHIkW7hMaNG4e/vz8ajYaDBw9atg8fPpyQkBAiIiKIjIxk//79lrbc3FyGDBlCUFAQwcHBxMfHW9pMJhNjx44lMDCQoKAg5s+fb5f8hb744gs0Gg2rV692qPxKKaZOnUpwcDBhYWF0797dofLv3buXTp060apVK5o1a8Z7771XLvPr9XoGDhxIcHAwERERxMTEkJSUBMC5c+eIiYmhSZMmhIWFsX379nJ3DLfK7yi/wxZKlMiWLVtUamqq8vPzU3/++adl+8qVK1V+fr5SSqlVq1apJk2aWNrefPNNNWzYMKWUUidPnlR169ZVmZmZSimlvvjiCxUVFaWMRqPKyMhQfn5+6vDhw2WeXymlUlNTVadOnVTHjh3VqlWrHCr/hx9+qB588EF15coVpZRS6enpDpU/IiJCrVy5UimlVEZGhqpdu7b666+/yl3+vLw8tWbNGmUymZRSSn300UeqV69eSimlnn76aTVlyhSllFK7d+9Wvr6+lt+J8nIMt8rvKL/DhaRoW6m4olfo/PnzytXVVRUUFCillAoNDVW7d++2tD/88MNq6dKlSimlYmNj1YoVKyxt48ePt/zg21Jx+fv27at27dqlunXrVqRoO0L+hg0bquPHjxf7XEfIHxERob744gullFIpKSmqYcOG6vTp0+U2f6E9e/aowMBApZRSVatWVefOnbO0tWvXTm3evFkpVX6P4dr813KE32EZHilFc+bMITY21nK5TkpKCn5+fpZ2f39/UlJSbttWlj755BOaN29Ohw4dbmgr7/mzs7M5f/4833//PR07dqRjx47ExcVZ2st7foClS5fyxhtv4OvrS3BwMDNnzqRevXq3zWjv/HPnzqV///5kZGRgMpmoXbu21TnteQyF+a/nCL/DleaOSFtbtmwZK1asYNu2bUW2X3tNuLru6spbtZWFxMREFi9ezI4dO276nPKcPz8/H4PBQF5eHrt27SIlJYVOnTrRvHlzwsLCbpvR3vkBZs2axaxZsxg8eDAnT56ke/futG/fnpCQkNtmtFf+GTNmcPz4cRYsWEBeXt4N9z1Yk9Mex3Bt/ms5yu+w9LRLQVxcHG+++Sbr16+nTp06lu2+vr6Wkx0AycnJ+Pr63ratrOzcuZP09HSaNWuGv78/u3bt4plnnmHx4sW3zVge8vv4+FCtWjWeeOIJS6YuXbqwd+/e22YsD/kvXLjA999/z+DBgwEICAigQ4cO/Prrr7fNaK/8s2fPJj4+nrVr11KlShV8fHwAOH/+vNU57XEM1+cv5FC/wzYfgKlgrh+TjIuLU0FBQSopKemG506ZMqXISYw6deqojIwMpZRSS5cuVdHR0ZaTGL6+vurQoUNlnv9a149pO0L+ESNGqHnz5imllMrMzFR+fn7q999/d4j8RqNR1axZUyUkJCilzOOpjRo1soyhlrf877//vmrdurXlRFyhYcOGFTkRec8991hO7JWnY7hZfkf7HZaiXUKjR49WDRs2VM7Ozqpu3bqWkxharVY1atRIhYeHW74uXLiglFIqJydHDR48WAUGBqomTZqob775xvJ+RqNRjR49WgUEBKiAgAD10Ucf2SX/ta4v2o6Q//z586pfv36qefPmqnnz5mrBggUOlX/9+vWqdevWqmXLlqpZs2bqww8/LJf5U1NTFaACAgIsP+ft27dXSil15swZ1atXLxUUFKRCQ0Mtf4TK0zHcKr+j/A4XktvYhRDCgciYthBCOBAp2kII4UCkaAshhAORoi2EEA5EirYQQjgQKdpCCOFApGhXYPHx8bRp04aIiAiaNWtGdHQ0JpPJ3rGslpSURK1atW75nISEBNq2bVuq+92/fz8rVqy45T5/+eWXUt1nWUlKSmLRokVltr8HH3yQnTt3AjB16lReeeUVS9uXX36Jv78/hw8f5sCBA8TGxpZZLkckRbuCOnPmDKNGjSI+Pp79+/dz+PBhZs2aJetjWsGRi7bRaLxl+90U7du99/V2797NxYsX6dSp0w1tc+bMYfr06WzZsoVmzZoRHh6OVqslISHhjrJVBlK0K6jTp0+j1Wotc0MAtG7d2lK0/f39i0zG37ZtW8svSvfu3Xn11Ve59957CQwMZNSoUTfdz88//0zXrl1p06YNHTp0YOvWrQCMGDGCsWPHApCZmUlgYKBlcvw1a9bQrl07wsPDiYiI4LfffgNgz549REVF0bZtW1q3bs133313w/7y8vJ45JFHCA0NJTw8nN69e1vajEYjo0ePJjw8nObNm1vmILlVToD//Oc/dOjQgdatW9OtWzcOHjzIuXPn+Ne//sWGDRuIiIi44TPYv38/CxYs4MsvvyQiIoK33nrrlvtJSEiwvE+LFi1o3bo1Bw8etBxLr169yMnJAcw90cGDBxMbG0tYWBgDBgwgKysLME+S9dprr9G+fXsiIiJ49NFHuXjxIgBPPfUU48aNIyYmhvDwcACeeOIJ2rZtS8uWLenXrx/nzp0DYNSoURw6dIiIiAgGDBhQop+JSZMmER0dTZ8+fQDzPB7t27endevWxMbGkpqaWuzPyMKFC3n88cdv2D5lyhSWLl3K1q1bi8yW99hjj1nmvxHFKJP7LkWZKygoUA8++KCqWbOmGjhwoHrvvfdUWlqapf36OTzatGljmQO5W7du6qGHHlJGo1Hl5uYqf39/9euvv96wj7///lt16tRJ6XQ6pZRSx48fVw0aNFAGg0Hl5eWpiIgItWLFCtWvXz81c+ZMpZRSR48eVXXr1lVHjx5VSillMBjUxYsXVVZWlmrVqpVlEYPz588rX19fdfr0aZWYmKh8fHyUUkrFx8dbJq9XSlnmgdi8ebPSarVqz549SimlPvnkE9W7d+/b5ty+fbuKjY1Ver1eKaXU1q1bVcuWLZVS5rklHnrooZt+xlOmTFEvv/xyiT6Pwnz79u1TSl29rT01NVUpZZ7TfOHChZb3rVevnjpz5oxSSqnnn39ePf/880oppaZPn66mTZtm2edbb72lxo0bp5QyzwHSqlUrdenSJUv7+fPnLf+eOXOmGjNmjOXzatOmTZHjud3PRGxsrDIYDEoppb766is1YsQIZTQalVJKffnll2rAgAHFfk4BAQFF5uSYMmWK8vHxUU2bNlVZWVk3PD85OVnVrVu32PcSSsnUrBWUk5MT3333HUeOHGHLli2sXbuW6dOns3fvXoKCgm77+kcffRRnZ2c8PDyIiIjg77//vuG/t+vWrePEiRNERkYW2Z6amkpAQADffPMNbdq0oVOnTrz66qsArF+/ntjYWIKDgwFwcXHBy8uLn376iZMnT9K3b1/L+yilOHr0aJFeWHh4OEeOHGH06NF069atyPhnSEiIZVy7U6dOzJ49+7Y5V65cyYEDB4rMJ37+/HkMBsNtP6Pr3Wo/hfkiIiIA8/96kpOTadSoEQBt2rTh5MmTltf069ePunXrAjBy5EjLTIA//PAD2dnZfPvttwAYDAYCAwMtrxs8eDDVqlWzPP7qq6/4z3/+w5UrV8jLy7PM1X0nhg4diouLiyXH3r17adOmDQAFBQU4OzsX+7q0tLQb9tu+fXv27dvH6tWrLbM0FqpXrx5nz54lPz/fsj9xlRTtCq5p06Y0bdqU5557jpiYGH788UdeeukltFotBQUFlufp9foir3N3d7f829nZudhxTKUUMTExfPnll8Xu+8iRI1StWpVz585hMBhwc3O7aU6lFC1btiwybFHo2ukvAwICOHToEJs2bWLDhg1MmDDBsqbfzTLfKqdSiuHDh1uGN+7GrfaTkpJyQ77rH+fl5d30vQuHtZRSzJ8/n6ioqGKfd23B3r59Ox9//DG//vortWvX5scff7zlcd7uZ+La91ZKMXnyZIYPH37T9ytUpUoV8vLyqFmzpmVbaGgo7733Hr169cJkMvHkk08W2a+Li4sU7JuQMe0K6tSpU0UWN8jKyiIxMdHSKwsMDLSMJe/evZujR49avY/evXuzbt26IuOgu3fvBsxFavTo0WzYsIH27dvzj3/8A4A+ffqwdu1ajh07BpjHaHU6HZ07d+b48eNs2rTJ8l779++/oceblpaGRqNhwIABzJ49G6XUTcdSS5Kzf//+fPnll5b3MJlMlrFwT09PdDrdTd/3+vZb7cdaa9assYw/f/rpp/Ts2ROAAQMG8MEHH5CbmwuYF57966+/in2PrKwsPD098fb2xmAwsHDhwptmB+t+JgYMGMD8+fPJzMwEzN/Hffv2Ffvcli1bcuTIkRu2h4WFsXHjRl577TWWLl1q2X748GFatmx5031XdlK0Kyij0chbb71lWX363nvvZdiwYdx///0ATJ8+nTlz5tChQweWLl1K8+bNrd5HkyZNWLZsGc8++yzh4eE0a9aMOXPmYDQaefTRR5k2bRqhoaF8+OGH7Nq1i7i4OIKCgvj0008ZMmQILVu2pH379hw9epSaNWuyatUqpk2bRnh4OKGhobz22ms3XKL4559/0rlzZ1q2bEnr1q0ZOnTobX/Bb5YTIDIykhkzZnD//fcTHh5OWFiYZcmy6OhoLl++THh4eLEnYx944AH27t1rORF5q/1YKzo6mmeeeYawsDCSk5N5++23AXjttdeIiIigQ4cOtGzZko4dOxZZPfxaffv2JSgoiKZNm9KnTx/L0AyYC2lISIjlRCdY9zMxdOhQnnjiCbp37245obx58+Zinzto0CDWrl1bbFtoaCgbN25k8uTJLFmyBDAPMz300EO3+4gqLZmaVYhyZurUqeTk5FjG5B3dpUuX6NSpE7/99htVq1a95XMNBgPt2rVj48aNt702v7KSnrYQwqaqV6/Ohx9+SGJi4m2fm5iYyMyZM6Vg34L0tIUQwoFIT1sIIRyIFG0hhHAgUrSFEMKBSNEWQggHIkVbCCEciBRtIYRwIFK0hRDCgUjRFkIIByJFWwghHMj/A1YeJG9N6gB3AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mm = 1 / 25.4\n", "gp.layout(colors=gp.colors.bright)\n", "\n", "limits = np.array([900, 2000])\n", "\n", "fig, ax = plt.subplots(figsize=(90 * mm, 85 * mm))\n", "\n", "ax.plot(temperatures_sun[\"T_K\"], temperatures_sun_magmapandas, lw=0., zorder=10)\n", "limits = ax.get_xlim()\n", "ax.plot((1000, 2300), (1000, 2300), \"--\", c=\"k\", zorder=1)\n", "\n", "ax.set_xlim(*limits)\n", "ax.set_ylim(*limits)\n", "ax.set_xlabel(\"Sun excelsheet temperature (K)\")\n", "ax.set_ylabel(\"magmapandas temperature (K)\")\n", "\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "3b32fd49", "metadata": {}, "source": [ "### Shea et al. (2022)" ] }, { "cell_type": "markdown", "id": "0e8d8dac", "metadata": {}, "source": [ "Eq. 1 from {cite:t}`Shea2022` is \n", "\n", "T(C) = 21.2 × MgO(wt.%) + 1017\n", "\n", "This is a very straightforward equation that requires not data conversion (moles, cation) or other processing. We are therefore confident that our implementation is correct and have not performed validation tests." ] }, { "cell_type": "markdown", "id": "a9c00060", "metadata": {}, "source": [ "### Sugawara et al. (2000)" ] }, { "cell_type": "markdown", "id": "5d89af23", "metadata": {}, "source": [ "Calibration data for eqs. 3 and 6a from {cite:t}`Sugawara2000` are not available and figures from the paper therefore can't be reproduced. Instead, we compare our results with those from the implementations in Thermobar by {cite:t}`Wieser2022`. \n", "\n", "Thermobar doesn't process CO2, so we remove those concentrations. The thermobar implementation of eq. 3 does not include the H2O correction and we therefore removed H2O from the compositions for calculations using this model.\n", "\n", "As input data we se the calibration dataset of the Kd model by {cite:t}`Sun2020a` because it includes a wide range of (hydrous) melt compositions." ] }, { "cell_type": "code", "execution_count": 8, "id": "a3c66a4c", "metadata": {}, "outputs": [], "source": [ "compositions_sugawara_thermobar = get_calibration_data(parameter=\"Kd\", model=\"sun2020\")\n", "compositions_sugawara_thermobar = compositions_sugawara_thermobar.drop(columns=[\"CO2\"])\n", "P_bar = compositions_sugawara_thermobar[\"P_bar\"]\n", "\n", "\n", "compositions_sugawara_magmapandas = mp.Melt(compositions_sugawara_thermobar.iloc[:,2:17], datatype=\"oxide\", units=\"wt. %\")\n", "\n", "compositions_sugawara_thermobar = compositions_sugawara_thermobar.iloc[:,2:17]\n", "compositions_sugawara_thermobar.columns = [f\"{col}_Liq\" for col in compositions_sugawara_thermobar.columns]\n", "compositions_sugawara_thermobar = compositions_sugawara_thermobar.rename(columns={\"FeO_Liq\": \"FeOt_Liq\"})" ] }, { "cell_type": "code", "execution_count": 9, "id": "1f8555d5", "metadata": {}, "outputs": [], "source": [ "T_K_sugawara_thermobar = pd.DataFrame(\n", " index=compositions_sugawara_thermobar.index, columns=(\"sugawara2000_3\", \"sugawara2000_6a\")\n", ")\n", "\n", "T_K_sugawara_thermobar[\"sugawara2000_3\"] = tb.calculate_liq_only_temp(\n", " liq_comps=compositions_sugawara_thermobar.drop(columns=[\"H2O_Liq\"]),\n", " equationT=\"T_Sug2000_eq3_ol\",\n", " P=P_bar / 1e3,\n", ")\n", "T_K_sugawara_thermobar[\"sugawara2000_6a\"] = tb.calculate_liq_only_temp(\n", " liq_comps=compositions_sugawara_thermobar, equationT=\"T_Sug2000_eq6a_H7a\", P=P_bar / 1e3\n", ")" ] }, { "cell_type": "code", "execution_count": 10, "id": "2c29bf3c", "metadata": {}, "outputs": [], "source": [ "T_K_sugawara_magmapandas = pd.DataFrame(\n", " index=compositions_sugawara_thermobar.index, columns=(\"sugawara2000_3\", \"sugawara2000_6a\")\n", ")\n", "\n", "mp.configuration.melt_thermometer = \"sugawara2000_3\"\n", "T_K_sugawara_magmapandas[\"sugawara2000_3\"] = (\n", " compositions_sugawara_magmapandas.drop(columns=[\"H2O\"])\n", " .recalculate()\n", " .temperature(P_bar=P_bar)\n", ")\n", "mp.configuration.melt_thermometer = \"sugawara2000_6a\"\n", "T_K_sugawara_magmapandas[\"sugawara2000_6a\"] = compositions_sugawara_magmapandas.temperature(P_bar=P_bar)" ] }, { "cell_type": "code", "execution_count": 13, "id": "07e4dec4", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mm = 1 / 25.4\n", "gp.layout(colors=gp.colors.bright)\n", "\n", "limits = np.array([1400, 2600])\n", "\n", "fig, axs = plt.subplots(1, 2, figsize=(180 * mm, 90 * mm), sharex=True, sharey=True)\n", "\n", "for (thermometer, series), ax in zip(T_K_sugawara_thermobar.items(), axs):\n", "\n", " ax.plot(limits, limits, \"--\", c=\"k\")\n", " ax.plot(series, T_K_sugawara_magmapandas[thermometer], lw=0.)\n", "\n", " ax.set_title(thermometer)\n", " ax.set_xlabel(\"thermobar temperature (K)\")\n", " ax.set_ylabel(\"magmapandas temperature (K)\")\n", "\n", "\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "py310", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.17" } }, "nbformat": 4, "nbformat_minor": 5 }