{ "cells": [ { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Examples input for the Cantera interface\n", "****************************************\n", "\n", "Imports\n", "=======\n", "\n", "Import the mumpce interface and the interface to Cantera. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:40:38.332211Z", "start_time": "2018-09-20T20:40:37.905543Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n", " return f(*args, **kwds)\n" ] } ], "source": [ "import mumpce as mumpce\n", "import mumpce.cantera_utils as mpct" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Import Numerical Python and Pandas" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:40:38.336634Z", "start_time": "2018-09-20T20:40:38.334158Z" } }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Creating the Measurements\n", "=========================\n", "\n", "Reading the experimental data file\n", "----------------------------------" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:40:38.514871Z", "start_time": "2018-09-20T20:40:38.338248Z" } }, "outputs": [], "source": [ "filename = 'Example_measurements.xlsx'\n", "df_dict = pd.read_excel(filename,sheet_name=None)" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "This creates a dictionary of Pandas DataFrame objects, keyed by the sheet name in Excel. We will use these to create the measurement lists.\n", "\n", "Initializing the experimental measurement list\n", "----------------------------------------------\n", "\n", "Use each DataFrame in the data dictionary to initialize a measurement list." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:41:56.854787Z", "start_time": "2018-09-20T20:40:38.517394Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Flame speeds\n", "Ignition delay\n", "Single-pulse shock tube\n", "Reactions\n" ] } ], "source": [ "measurements = dict()\n", "\n", "for key in df_dict:\n", " print(key)\n", " df = df_dict[key]\n", " measurements[key] = mpct.measurement_initialize_pd(df)" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Write out comma-separated versions of the DataFrames for use in other parts of the documentation." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:41:56.940673Z", "start_time": "2018-09-20T20:41:56.857802Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Flame speeds.csv\n", "Ignition delay.csv\n", "Single-pulse shock tube.csv\n", "Reactions.csv\n" ] } ], "source": [ "for key in df_dict:\n", " csv_file = key + '.csv'\n", " csv_example_file = key + ' example.csv'\n", " print(csv_file)\n", " df = df_dict[key].drop('Comment',axis=1)\n", " df.to_csv(csv_file,index=False)\n", " df[0:4].to_csv(csv_example_file,index=False)" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Including activation energies as active parameters\n", "--------------------------------------------------" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:41.782066Z", "start_time": "2018-09-20T20:41:56.942856Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Single-pulse shock tube\n", "Reactions\n" ] } ], "source": [ "keys_include_E = ['Single-pulse shock tube','Reactions']\n", "for key in keys_include_E:\n", " print(key)\n", " df = df_dict[key]\n", " measurements[key] = mpct.measurement_initialize_pd(df,no_energy=False)" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Parameter uncertainties\n", "-----------------------\n", "\n", "Read the parameter uncertainties, which we will use when we conduct a full MUM-PCE analysis later" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:43.038345Z", "start_time": "2018-09-20T20:42:41.784029Z" } }, "outputs": [], "source": [ "from read_uncertainties import read_uncertainties\n", "\n", "mpct_model = measurements['Single-pulse shock tube'][0].model\n", "parameter_uncertainties = read_uncertainties(uncertainty_file='uncert.txt',mumpce_cantera_model=mpct_model)" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Creating the Projects\n", "=====================\n", "\n", "Projects from a single list\n", "---------------------------\n", "\n", "Each measurement list can be used to create an independent project." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:43.042602Z", "start_time": "2018-09-20T20:42:43.039842Z" } }, "outputs": [], "source": [ "projects = dict()\n", "for key in df_dict:\n", " projects[key] = mumpce.Project(measurement_list=measurements[key],name=key)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:43.170795Z", "start_time": "2018-09-20T20:42:43.043896Z" }, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Single-pulse shock tube\n", "15 measurements\n", "pro_Aa1 (Active): Specified mole frac: 850 K, 211.63 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, mole fraction of C2H4 at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pro_Aa2 (Active): Specified mole frac: 950 K, 295.51 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, mole fraction of C2H4 at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pro_Aa3 (Active): Specified mole frac: 1050 K, 363.41 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, mole fraction of C2H4 at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pro_Ab1 (Active): Specified mole frac: 850 K, 211.63 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, mole fraction of C3H6 at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pro_Ab2 (Active): Specified mole frac: 950 K, 295.51 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, mole fraction of C3H6 at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pro_Ab3 (Active): Specified mole frac: 1050 K, 363.41 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, mole fraction of C3H6 at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Ac1 (Active): Concentration ratio: 850 K, 211.63 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Ac2 (Active): Concentration ratio: 950 K, 295.51 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Ac3 (Active): Concentration ratio: 1050 K, 363.41 kPa, C4H10:0.010711755,C6H5CH3:0.040294685,tBPO:3.32e-05,O2:0,AR:0.9489603600000001, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc1 (Active): Concentration ratio: 900 K, 137.66 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc2 (Active): Concentration ratio: 950 K, 157.68 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc3 (Active): Concentration ratio: 1000 K, 175.70 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc4 (Active): Concentration ratio: 1050 K, 192.00 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc5 (Active): Concentration ratio: 1100 K, 206.82 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc6 (Active): Concentration ratio: 1150 K, 220.34 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "\n" ] } ], "source": [ "project = projects['Single-pulse shock tube']\n", "print(project)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:43.244257Z", "start_time": "2018-09-20T20:42:43.173149Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reactions\n", "9 measurements\n", "rxn_632_297 (Active): Reaction C4H10 + H <=> H2 + pC4H9:E: 297 K, 303.98 kPa\n", " K.R. Jennings, R.J. Cvetanovic, J. Chem. Phys. 35 (1961), 1233-1240.\n", "rxn_632_329 (Active): Reaction C4H10 + H <=> H2 + pC4H9:E: 329 K, 303.98 kPa\n", " K. Yang, J. Phys. Chem. 67 (1963), 562-566.\n", "rxn_632_513 (Active): Reaction C4H10 + H <=> H2 + pC4H9:E: 513 K, 303.98 kPa\n", " K. Yang, J. Phys. Chem. 67 (1963), 562-566.\n", "rxn_63r_318 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 318 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_325 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 325 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_350 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 350 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_375 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 375 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_400 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 400 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_413 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 413 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "\n" ] } ], "source": [ "project = projects['Reactions']\n", "print(project)" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Projects from a combined list\n", "-----------------------------\n", "\n", "Measurements from different lists can be split and combined to create a custom measurement list for a bigger project. In this case, we want to create a study of H-atom abstraction from butane by H atoms, a subset of the study by `Manion, Sheen, & Awan <http://dx.doi.org/10.1021/acs.jpca.5b01004>`_. We start by building the project's application list, which is going to be all of the single-pulse shock tube measurements where H-atom attack is the primary process. These measurements have names of the form 'pul_Cxx'." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:43.324871Z", "start_time": "2018-09-20T20:42:43.247113Z" } }, "outputs": [], "source": [ "applist = [item for item in measurements['Single-pulse shock tube'] if '_C' in item.name]" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Then we create the reaction list by pulling the experimental rate ratios from the list. We don't include the low-temperature rate constant measurements because we already know from `Manion, Sheen, & Awan <http://dx.doi.org/10.1021/acs.jpca.5b01004>`_ that JetSurF is inconsistent with those measurements. The rate ratio measurements have names of the form 'rxn_63r_xxx'." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:43.401346Z", "start_time": "2018-09-20T20:42:43.327869Z" } }, "outputs": [], "source": [ "rxnlist = [item for item in measurements['Reactions'] if 'r_' in item.name]" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Then we create the measurement list by using python's :py:func:`list.pop` method, which lets us pull the 1 and 5 elements from the applist. We create the measurement list as a new list with these items, and then attach the reaction rate ratio measurements." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:43.479198Z", "start_time": "2018-09-20T20:42:43.404183Z" } }, "outputs": [], "source": [ "mlist = [applist.pop(5),applist.pop(1)] + rxnlist" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Now with the measurement and application lists created, we initialize a new :py:class:`Project` with these lists. Notice that the application list has all of the 'pul_Cxx' except for those we added to the measurement list." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T20:42:43.547387Z", "start_time": "2018-09-20T20:42:43.482510Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "H_abstraction_from_butane_by_H\n", "12 measurements\n", "pul_Cc6 (Active): Concentration ratio: 1150 K, 220.34 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc2 (Active): Concentration ratio: 950 K, 157.68 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "rxn_63r_318 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 318 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_325 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 325 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_350 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 350 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_375 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 375 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_400 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 400 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "rxn_63r_413 (Active): Rate ratio k_[C4H10 + H <=> H2 + sC4H9:E]/k_[C4H10 + H <=> H2 + pC4H9:E]: 413 K, 303.98 kPa\n", " J.M. Campbell, O.P. Strausz, H.E. Gunning, Can. J. Chem. 47 (1969), 3759-3762\n", "pul_Cc1 (Application): Concentration ratio: 900 K, 137.66 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc3 (Application): Concentration ratio: 1000 K, 175.70 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc4 (Application): Concentration ratio: 1050 K, 192.00 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "pul_Cc5 (Application): Concentration ratio: 1100 K, 206.82 kPa, C4H10:0.001020921,HME:5.73e-05,O2:0,AR:0.998921779, [C2H4]/[C3H6] at 0.5 ms\n", " J. A. Manion, D. A. Sheen, I. A. Awan, J. Phys. Chem. A 119 (2015), 7637-7658.\n", "\n" ] } ], "source": [ "project_Habs = mumpce.Project(measurement_list=mlist,application_list=applist,\n", " name='H_abstraction_from_butane_by_H',\n", " parameter_uncertainties=parameter_uncertainties\n", " )\n", "print(project_Habs)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:10:57.613561Z", "start_time": "2018-09-20T20:42:43.550331Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "pul_Cc6\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "601d76a5c5614bbb8350e32a779fce38", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc6_sen.out', max=2335), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "pul_Cc2\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "36e68e7cbc8a44a1878d717d129eae54", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc2_sen.out', max=2335), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "rxn_63r_318\n", "rxn_63r_325\n", "rxn_63r_350\n", "rxn_63r_375\n", "rxn_63r_400\n", "rxn_63r_413\n", "pul_Cc1\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "badea85127f049b884ebfeb99d76a82a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc1_sen.out', max=2335), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "pul_Cc3\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0f0fb9a606524b18870f8a90e0f1dda7", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc3_sen.out', max=2335), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "pul_Cc4\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "548aa2426209440587a14ba340a5caaf", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc4_sen.out', max=2335), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "pul_Cc5\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "da360e89966c46ba8dd7c82dbc9c8db4", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc5_sen.out', max=2335), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "project_Habs.find_sensitivity()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:10:57.627165Z", "start_time": "2018-09-20T21:10:57.618818Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "pul_Cc6\n", "pul_Cc2\n", "rxn_63r_318\n", "rxn_63r_325\n", "rxn_63r_350\n", "rxn_63r_375\n", "rxn_63r_400\n", "rxn_63r_413\n" ] } ], "source": [ "project_Habs.find_active_parameters(0.02)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:10:57.816047Z", "start_time": "2018-09-20T21:10:57.631706Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 377 540 541 877 878 879 880 881 898 914 915 942 968 988\n", " 989 990 991 992 1009 1312]\n" ] } ], "source": [ "sensitivity_cutoff = 0.02\n", "\n", "project_Habs.active_parameters = np.array([],dtype=int)\n", "for meas in project_Habs:\n", " all_parameters = np.arange(meas.model.number_parameters,dtype=int)\n", " \n", " uncertainties_this = project_Habs.parameter_uncertainties[:meas.model.number_parameters]\n", " \n", " impact_factor_list = meas.sensitivity_list * np.log(uncertainties_this)\n", " max_sens = abs(impact_factor_list).max()*sensitivity_cutoff\n", " active_parameters_this = all_parameters[abs(impact_factor_list) > max_sens]\n", " \n", " project_Habs.active_parameters = np.union1d(project_Habs.active_parameters,active_parameters_this)\n", "project_Habs.active_parameter_uncertainties = project_Habs.parameter_uncertainties[project_Habs.active_parameters]\n", "\n", "print(project_Habs.active_parameters)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:10:57.892233Z", "start_time": "2018-09-20T21:10:57.818024Z" } }, "outputs": [], "source": [ "project_Habs.set_active_parameters()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:23:20.872497Z", "start_time": "2018-09-20T21:10:57.894895Z" }, "scrolled": false }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9908b0d51b19423a9baaae8694b84b8f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc6_resp_log.out', max=20), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "951ff4a06ba342f29d19872c79325eb6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, max=20), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "34130540588b43ed96bcd41b4fc81e7d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, 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"output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a247b3c21d2247f9bc940dd075e4f6f6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc5_resp_log.out', max=20), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "caadc31b445b445b80e92c7ceb7830d1", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, description='pul_Cc5_resp_log.out', max=20), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "project_Habs.make_response()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:23:20.944814Z", "start_time": "2018-09-20T21:23:20.874811Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(20,)\n", "Both actual and predicted relative reductions in the sum of squares\n", " are at most 0.000000\n" ] } ], "source": [ "m = project_Habs.run_optimization()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:23:21.055023Z", "start_time": "2018-09-20T21:23:20.946411Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Parameter name Value Uncert FactVal FactUnc NewVal Uncert \n", "C2H4 + H (+M) <=> C2H5 (+M):HpA : 1.4e+06 3.00 0.63 0.79 2.7e+06 2.38\n", "C3H6 + H <=> C2H4 + CH3:A : 8e+18 2.00 -0.10 0.99 7.5e+18 1.99\n", "C3H6 + H <=> C2H4 + CH3:E : 4.7e+07 1.12 0.09 0.99 4.7e+07 1.12\n", "C4H81 + H (+M) <=> sC4H9 (+M):HpA : 1.3e+10 3.00 -0.05 0.98 1.3e+10 2.93\n", "C4H81 + H <=> C2H4 + C2H5:A : 1.6e+19 3.00 -0.08 1.00 1.5e+19 2.99\n", "C4H81 + H <=> C2H4 + C2H5:E : 4.7e+07 1.20 0.06 1.00 4.7e+07 1.19\n", "C4H81 + H <=> C3H6 + CH3:A : 3.2e+19 5.00 0.22 0.97 4.6e+19 4.77\n", "C4H81 + H <=> C3H6 + CH3:E : 4.7e+07 1.20 -0.12 0.99 4.6e+07 1.20\n", "C4H82 + H (+M) <=> sC4H9 (+M):HpA : 1.3e+10 3.00 0.06 0.98 1.4e+10 2.93\n", "H + iC4H8 <=> C3H6 + CH3:A : 8e+18 3.00 0.15 0.99 9.4e+18 2.96\n", "H + iC4H8 <=> C3H6 + CH3:E : 4.7e+07 1.20 -0.11 0.99 4.6e+07 1.19\n", "C3H6 + CH3 (+M) <=> sC4H9 (+M):HpA : 1.7e+08 2.00 0.19 0.95 1.9e+08 1.93\n", "tC4H9 (+M) <=> H + iC4H8 (+M):HpA : 8.3e+13 2.00 -0.09 1.00 7.8e+13 1.99\n", "2 C2H5 (+M) <=> C4H10 (+M):HpA : 1.9e+11 2.00 0.25 0.97 2.2e+11 1.96\n", "C4H10 + H <=> H2 + pC4H9:A : 9.2e+02 3.00 -0.09 0.73 8.3e+02 2.24\n", "C4H10 + H <=> H2 + pC4H9:E : 2.8e+07 1.20 0.06 0.54 2.9e+07 1.10\n", "C4H10 + H <=> H2 + sC4H9:A : 2.4e+03 3.00 -0.03 0.71 2.3e+03 2.19\n", "C4H10 + H <=> H2 + sC4H9:E : 1.9e+07 1.20 0.21 0.83 1.9e+07 1.16\n", "C4H10 + CH3 <=> CH4 + pC4H9:A : 0.0009 3.00 -0.00 1.00 0.0009 3.00\n", "HME <=> 2 tC4H9:E : 2.9e+08 1.02 0.11 0.99 2.9e+08 1.02\n" ] } ], "source": [ "print(project_Habs.interpret_model())" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:23:21.136750Z", "start_time": "2018-09-20T21:23:21.057332Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(20,)\n", "Both actual and predicted relative reductions in the sum of squares\n", " are at most 0.000000\n", "No inconsistent measurements\n" ] } ], "source": [ "project_Habs.remove_inconsistent_measurements()" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:23:21.189497Z", "start_time": "2018-09-20T21:23:21.139379Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Name Value Unc OptVal OptUnc MdlVal MdlUnc\n", "pul_Cc6 : 0.20 0.05 0.24 0.06 0.30 0.75 \n", "pul_Cc2 : -0.14 0.05 -0.18 0.07 -0.24 0.86 \n", "rxn_63r_318 : 3.61 0.13 3.65 0.07 3.77 1.50 \n", "rxn_63r_325 : 3.55 0.13 3.58 0.06 3.69 1.48 \n", "rxn_63r_350 : 3.32 0.13 3.33 0.05 3.42 1.40 \n", "rxn_63r_375 : 3.13 0.13 3.11 0.05 3.20 1.34 \n", "rxn_63r_400 : 2.97 0.13 2.92 0.05 2.99 1.28 \n", "rxn_63r_413 : 2.88 0.13 2.83 0.05 2.90 1.26 \n", "pul_Cc1 : -0.25 0.05 2.80 3.55 -0.47 10.77 \n", "pul_Cc3 : -0.04 0.05 -0.07 0.19 -0.09 0.96 \n", "pul_Cc4 : 0.05 0.05 0.00 0.07 0.03 0.82 \n", "pul_Cc5 : 0.13 0.05 0.12 0.06 0.16 0.80 \n" ] } ], "source": [ "print(project_Habs.validate_solution())" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2018-09-20T21:23:21.256888Z", "start_time": "2018-09-20T21:23:21.192289Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Parameter name Value Uncert FactVal FactUnc NewVal Uncert \n", "C2H4 + H (+M) <=> C2H5 (+M):HpA : 1.4e+06 3.00 0.63 0.79 2.7e+06 2.38\n", "C3H6 + H <=> C2H4 + CH3:A : 8e+18 2.00 -0.10 0.99 7.5e+18 1.99\n", "C3H6 + H <=> C2H4 + CH3:E : 4.7e+07 1.12 0.09 0.99 4.7e+07 1.12\n", "C4H81 + H (+M) <=> sC4H9 (+M):HpA : 1.3e+10 3.00 -0.05 0.98 1.3e+10 2.93\n", "C4H81 + H <=> C2H4 + C2H5:A : 1.6e+19 3.00 -0.08 1.00 1.5e+19 2.99\n", "C4H81 + H <=> C2H4 + C2H5:E : 4.7e+07 1.20 0.06 1.00 4.7e+07 1.19\n", "C4H81 + H <=> C3H6 + CH3:A : 3.2e+19 5.00 0.22 0.97 4.6e+19 4.77\n", "C4H81 + H <=> C3H6 + CH3:E : 4.7e+07 1.20 -0.12 0.99 4.6e+07 1.20\n", "C4H82 + H (+M) <=> sC4H9 (+M):HpA : 1.3e+10 3.00 0.06 0.98 1.4e+10 2.93\n", "H + iC4H8 <=> C3H6 + CH3:A : 8e+18 3.00 0.15 0.99 9.4e+18 2.96\n", "H + iC4H8 <=> C3H6 + CH3:E : 4.7e+07 1.20 -0.11 0.99 4.6e+07 1.19\n", "C3H6 + CH3 (+M) <=> sC4H9 (+M):HpA : 1.7e+08 2.00 0.19 0.95 1.9e+08 1.93\n", "tC4H9 (+M) <=> H + iC4H8 (+M):HpA : 8.3e+13 2.00 -0.09 1.00 7.8e+13 1.99\n", "2 C2H5 (+M) <=> C4H10 (+M):HpA : 1.9e+11 2.00 0.25 0.97 2.2e+11 1.96\n", "C4H10 + H <=> H2 + pC4H9:A : 9.2e+02 3.00 -0.09 0.73 8.3e+02 2.24\n", "C4H10 + H <=> H2 + pC4H9:E : 2.8e+07 1.20 0.06 0.54 2.9e+07 1.10\n", "C4H10 + H <=> H2 + sC4H9:A : 2.4e+03 3.00 -0.03 0.71 2.3e+03 2.19\n", "C4H10 + H <=> H2 + sC4H9:E : 1.9e+07 1.20 0.21 0.83 1.9e+07 1.16\n", "C4H10 + CH3 <=> CH4 + pC4H9:A : 0.0009 3.00 -0.00 1.00 0.0009 3.00\n", "HME <=> 2 tC4H9:E : 2.9e+08 1.02 0.11 0.99 2.9e+08 1.02\n" ] } ], "source": [ "print(project_Habs.interpret_model())" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "celltoolbar": "Raw Cell Format", "kernelspec": { "display_name": "Python [default]", "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": "3.6.6" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": "block", 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