{
 "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": {
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       "model_id": "601d76a5c5614bbb8350e32a779fce38",
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       "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",
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       "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": {
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       "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",
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       "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",
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       "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",
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       "version_minor": 0
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       "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": [
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      "\n"
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    {
     "name": "stdout",
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     "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"
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   "source": [
    "print(project_Habs.interpret_model())"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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