{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Getting started"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Fitting a data to a user defined model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "*refnx* can examine most curve fitting problems. Here we demonstrate a fit to a simple user defined model. This line example is taken from the [emcee documentation](http://emcee.readthedocs.io/en/stable/user/line.html) and the reader is referred to that link for more detailed explanation. The errorbars are underestimated, and the modelling will account for that."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "To use *refnx* we need first need to create a dataset. We create a synthetic dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "rng = np.random.default_rng(1220289787)\n",
    "\n",
    "# Choose the \"true\" parameters.\n",
    "m_true = -0.9594\n",
    "b_true = 4.294\n",
    "f_true = 0.534\n",
    "\n",
    "N = 50\n",
    "x = np.sort(10 * rng.uniform(size=N))\n",
    "yerr = 0.1 + 0.5 * rng.uniform(size=N)\n",
    "y = m_true * x + b_true\n",
    "y += np.abs(f_true * y) * rng.normal(size=N)\n",
    "y += yerr * rng.normal(size=N)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We create a `Data1D` object from this synthetic data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from refnx.dataset import Data1D\n",
    "\n",
    "data = Data1D(data=(x, y, yerr))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Then we need to set up a generative model. Firstly we write a fit-function that returns our straight line model. The `Parameter` objects describe the parameters we're going to use in the fit. We give the parameters values, names, and specify their limits. The parameters are combined into a `Parameters` set, `p`, using the or operator.\n",
    "Then we create a `Model` object from our parameter set and the fit-function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from refnx.analysis import Parameter, Model\n",
    "\n",
    "\n",
    "def line(x, params, *args, **kwds):\n",
    "    p_arr = np.array(params)\n",
    "    return p_arr[0] + x * p_arr[1]\n",
    "\n",
    "\n",
    "# the model needs parameters\n",
    "p = Parameter(1, \"b\", vary=True, bounds=(0, 10))\n",
    "p |= Parameter(-2, \"m\", vary=True, bounds=(-5, 0.5))\n",
    "\n",
    "model = Model(p, fitfunc=line)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We set lower and upper limits on each of the parameters. This means that the log-prior probability from those parameters is described by a uniform distribution. Only solutions which have finite probability (i.e. lie between the limits) will be considered by the fit/sampler."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-2.3025850929940455 -inf\n"
     ]
    }
   ],
   "source": [
    "# ln(1 / 10)\n",
    "# a value lying outside the limits is not possible\n",
    "print(p[0].logp(1), p[0].logp(-1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "It's not required to give each parameter bounds unless the fit method requires it. The bounds do not have to be from a uniform distribution, any of the `scipy.stats.rv_continuous` distributions can be used:\n",
    "\n",
    "```\n",
    "import scipy.stats as stats\n",
    "# a normal distribution of mean 5 and standard deviation 1.\n",
    "p[0].bounds = stats.norm(5, 1)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now we create an `Objective` from the model and the data. We use an extra parameter, `lnsigma`, to describe the underestimated error bars. Objectives use the model and data to calculate statistics about the curve fitting system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "631.1788336329323 -6.405228458030841 -440.09147816937787 -446.4967066274087\n"
     ]
    }
   ],
   "source": [
    "from refnx.analysis import Objective\n",
    "\n",
    "lnf = Parameter(0, \"lnf\", vary=True, bounds=(-10, 1))\n",
    "objective = Objective(model, data, lnsigma=lnf)\n",
    "print(objective.chisqr(), objective.logp(), objective.logl(), objective.logpost())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Then a `CurveFitter` is created from the `Objective`. This is responsible for doing all the curvefitting/Bayesian sampling. Let's do a quick fit using Differential Evolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "61.76988450033622: : 20it [00:00, 487.36it/s]\n"
     ]
    }
   ],
   "source": [
    "from refnx.analysis import CurveFitter\n",
    "\n",
    "fitter = CurveFitter(objective)\n",
    "fitter.fit(\"differential_evolution\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "In the final output of the sampling each varying parameter is given a set of statistics. `Parameter.value` is the median of the chain samples. `Parameter.stderr` is half the [15, 85] percentile, representing a standard deviation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "________________________________________________________________________________\n",
      "Objective - 4895160176\n",
      "Dataset = <None>, 50 points\n",
      "datapoints = 50\n",
      "chi2 = 45.73170305997643\n",
      "Weighted = True\n",
      "Transform = None\n",
      "________________________________________________________________________________\n",
      "Parameters:      None      \n",
      "<Parameter:      'b'      , value=4.74604 +/- 0.261, bounds=[0.0, 10.0]>\n",
      "<Parameter:      'm'      , value=-1.09134 +/- 0.0598, bounds=[-5.0, 0.5]>\n",
      "<Parameter:     'lnf'     , value=-1.16894 +/- 0.202, bounds=[-10.0, 1.0]>\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(objective)\n",
    "objective.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The trouble with a single fit that minimises $\\chi^2$ is that it doesn't reveal the range of solutions that are consistent with the data. It also assumes that the parameter uncertainties will be normally distributed and uni-modal. To investigate the parameter probability distributions we need to use MCMC to sample the posterior probability distribution of the system. \n",
    "\n",
    "Note: `pool=` specifies that no parallelisation is done during sampling. On platforms that use `spawn` for multiprocessing special precautions [must be used](https://docs.python.org/3/library/multiprocessing.html#the-spawn-and-forkserver-start-methods) when using `pool > 1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:04<00:00, 239.86it/s]\n"
     ]
    }
   ],
   "source": [
    "fitter.sample(1000, pool=1);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Once the sampling is done we burn/discard some of the initial steps because the initial locations of the walkers won't be around their 'equilibrium' position. We thin out the chain to reduce auto-correlation between successive steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "________________________________________________________________________________\n",
      "Parameters:      None      \n",
      "<Parameter:      'b'      , value=4.73801 +/- 0.268, bounds=[0.0, 10.0]>\n",
      "<Parameter:      'm'      , value=-1.09034 +/- 0.0612, bounds=[-5.0, 0.5]>\n",
      "<Parameter:     'lnf'     , value=-1.14177 +/- 0.16 , bounds=[-10.0, 1.0]>\n"
     ]
    }
   ],
   "source": [
    "from refnx.analysis import process_chain\n",
    "\n",
    "process_chain(objective, fitter.chain, nburn=300, nthin=100, flatchain=True)\n",
    "print(objective.parameters)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now we can see the range of solutions that are consistent with the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objective.plot(samples=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Fitting a neutron reflectometry dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We start off with all the relevant imports we'll need."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from importlib import resources\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy\n",
    "\n",
    "import refnx\n",
    "from refnx.dataset import ReflectDataset, Data1D\n",
    "from refnx.analysis import Transform, CurveFitter, Objective, Model, Parameter\n",
    "from refnx.reflect import SLD, Slab, ReflectModel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "It's important to note down the versions of the software that you're using, in order for the analysis to be reproducible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "refnx: 0.1.63.dev0+git20260318.81bb508\n",
      "scipy: 1.17.1\n",
      "numpy: 2.4.3\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    f\"refnx: {refnx.version.version}\\n\"\n",
    "    f\"scipy: {scipy.version.version}\\n\"\n",
    "    f\"numpy: {np.version.version}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Loading/Creating a dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "*refnx* reads 2, 3, or 4 column plain-text files using `Data1D` or `ReflectDataset`.\n",
    "\n",
    "\n",
    "| columns |   data                  |\n",
    "|---------|-------------------------|\n",
    "|  2      |         $x, y$          |\n",
    "|  3      |    $x, y, y_{err}$      |\n",
    "|  4      |$x, y, y_{err}, x_{err}$ |\n",
    "\n",
    "\n",
    "$y_{err}$ being the standard deviation of the measured $y$ data, $x_{err}$ being the uncertainty in $x$.\n",
    "\n",
    "In a reflectometry context $x$ is the momentum transfer $Q$ ($A^{-1}$), $y_{err}$ is the uncertainty in the reflectivity, and $x_{err}$ is the full width at half maximum (FWHM) of the Gaussian approximation to the resolution function, $dQ$.\n",
    "\n",
    "The dataset we're going to use as an example is distributed with every install. The following cell determines its location."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "pth = resources.files(refnx.analysis)\n",
    "DATASET_NAME = \"c_PLP0011859_q.txt\"\n",
    "file_path = pth / f\"tests/{DATASET_NAME}\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "`ReflectDataset` uses a file path to load the data. However, you can also make a dataset directly from numerical arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "data = ReflectDataset(file_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Creating an interfacial Structure"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "`Structure` objects describe the interface of interest. They are made by assembling a series of `Components` (the simplest `Component` being a `Slab`. However, the first step is to create `SLD` objects that represent each of the materials:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "si = SLD(2.07, name=\"Si\")\n",
    "sio2 = SLD(3.47, name=\"SiO2\")\n",
    "film = SLD(2.0, name=\"film\")\n",
    "d2o = SLD(6.36, name=\"d2o\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "`Slab`s are created from these `SLD`s to represent each layer in the system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# first number is thickness, second number is roughness\n",
    "# a native oxide layer\n",
    "sio2_layer = sio2(30, 3)\n",
    "\n",
    "# you can also create a Slab using something like:\n",
    "# sio2_layer = Slab(30, sio2, 3)\n",
    "\n",
    "\n",
    "# the film of interest\n",
    "film_layer = film(250, 3)\n",
    "\n",
    "# layer for the solvent\n",
    "d2o_layer = d2o(0, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "A `Slab` has the following parameters, which are all accessible as attributes:\n",
    "\n",
    " - `Slab.thick`\n",
    " - `Slab.sld.real`\n",
    " - `Slab.sld.imag`\n",
    " - `Slab.rough`\n",
    " - `Slab.vfsolv`\n",
    " \n",
    "We need to specify which parameters are going to vary in a fit, and what the limits are on those parameters. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "sio2_layer.thick.setp(bounds=(15, 50), vary=True)\n",
    "sio2_layer.rough.setp(bounds=(1, 15), vary=True)\n",
    "\n",
    "film_layer.thick.setp(bounds=(200, 300), vary=True)\n",
    "film_layer.sld.real.setp(bounds=(0.1, 3), vary=True)\n",
    "film_layer.rough.setp(bounds=(1, 15), vary=True)\n",
    "\n",
    "d2o_layer.rough.setp(vary=True, bounds=(1, 15))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now we assemble the `Structure` from the `Components`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "structure = si | sio2_layer | film_layer | d2o_layer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "________________________________________________________________________________\n",
      "Parameters:     'SiO2'     \n",
      "<Parameter:'SiO2 - thick' , value=30          , bounds=[15.0, 50.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'SiO2'     \n",
      "<Parameter: 'SiO2 - sld'  , value=3.47  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'SiO2 - isld' , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:'SiO2 - rough' , value=3          , bounds=[1.0, 15.0]>\n",
      "<Parameter:'SiO2 - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n"
     ]
    }
   ],
   "source": [
    "print(sio2_layer.parameters)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "`Structure` has a `sld_profile` method to return the SLD profile. Let's also plot that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(*structure.sld_profile())\n",
    "plt.ylabel(\"SLD /$10^{-6} \\\\AA^{-2}$\")\n",
    "plt.xlabel(\"distance / $\\\\AA$\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### `ReflectModel` calculates the generative model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "A `ReflectModel` is made from the `Structure` and is responsible for calculating the reflectivity of the system. `ReflectModel` performs resolution smearing, applies scaling factor and adds a Q-independent constant background. It can use constant `dq/q`, point-by-point, and full resolution kernel smearing. The resolution parameter, `dq`, can be fitted, but this will only be valid if your dataset didn't supply the instrument resolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "model = ReflectModel(structure, bkg=3e-6, dq=5.0)\n",
    "model.scale.setp(bounds=(0.6, 1.2), vary=True)\n",
    "model.bkg.setp(bounds=(1e-9, 9e-6), vary=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Let's quickly have a look at the model generated by the structure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "q = np.linspace(0.005, 0.3, 1001)\n",
    "plt.plot(q, model(q))\n",
    "plt.xlabel(\"Q\")\n",
    "plt.ylabel(\"Reflectivity\")\n",
    "plt.yscale(\"log\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### `Objective` combines the model and data, calculating statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "An `Objective` is made from a model and dataset. Here we use a `Transform` to fit as logY vs X."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "objective = Objective(model, data, transform=Transform(\"logY\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The `Objective` can calculate statistics for the fitting system. Note how the log-probability is the sum of the log-prior and log-likelihood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "34376.69092305149 -5.013178251637257 -16157.428065740665 -16162.441243992302\n"
     ]
    }
   ],
   "source": [
    "print(objective.chisqr(), objective.logp(), objective.logl(), objective.logpost())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### `CurveFitter` does the fitting/sampling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The final setup step is to create a `CurveFitter` from the `Objective`. These objects do the fitting/sampling. Let's do an initial fit with differential evolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "-568.9488406210648: : 46it [00:02, 17.25it/s] \n"
     ]
    }
   ],
   "source": [
    "fitter = CurveFitter(objective)\n",
    "fitter.fit(\"differential_evolution\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "An `Objective` has a plot method, which is a quick visualisation. You need matplotlib installed to create a graph. You can see that the fit looks good."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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oA6Oiuc+xeM/+g9of/gnl/wDkmj7F4z/6D2h/+CeX/wCSaAOjornPsXjP/oPaH/4J5f8A5Jo+xeM/+g9of/gnl/8AkmgDo6K5z7F4z/6D2h/+CeX/AOSaPsXjP/oPaH/4J5f/AJJoA6Oiuc+xeM/+g9of/gnl/wDkms3Urjxnp1/pFr/bGhyf2jdNbbv7JlHl4hkl3Y+0c/6vGOOue1AHa0Vzn2Lxn/0HtD/8E8v/AMk0fYvGf/Qe0P8A8E8v/wAk0AdHRXOfYvGf/Qe0P/wTy/8AyTR9i8Z/9B7Q/wDwTy//ACTQB0dFc59i8Z/9B7Q//BPL/wDJNH2Lxn/0HtD/APBPL/8AJNAHR0Vzn2Lxn/0HtD/8E8v/AMk0fYvGf/Qe0P8A8E8v/wAk0AdHRXOfYvGf/Qe0P/wTy/8AyTR9i8Z/9B7Q/wDwTy//ACTQB0dFc59i8Z/9B7Q//BPL/wDJNI1n4zCk/wBvaHwP+gPL/wDJNAHSUVxegz+M9c8O6bq39saHD9ttY7jyv7JlbZvUNjP2gZxnritH7F4z/wCg9of/AIJ5f/kmgDo6K5z7F4z/AOg9of8A4J5f/kmj7F4z/wCg9of/AIJ5f/kmgDo6K5z7F4z/AOg9of8A4J5f/kmj7F4z/wCg9of/AIJ5f/kmgDo6K5z7F4z/AOg9of8A4J5f/kmj7F4z/wCg9of/AIJ5f/kmgDo6K5z7F4z/AOg9of8A4J5f/kmj7F4z/wCg9of/AIJ5f/kmgDo6K5z7F4z/AOg9of8A4J5f/kmj7F4z/wCg9of/AIJ5f/kmgDo6K4rTbjxnqN/q9r/bGhx/2ddLbbv7JlPmZhjl3Y+0cf6zGOeme9aX2Lxn/wBB7Q//AATy/wDyTQB0dFc59i8Z/wDQe0P/AME8v/yTR9i8Z/8AQe0P/wAE8v8A8k0AdHRXOfYvGf8A0HtD/wDBPL/8k0fYvGf/AEHtD/8ABPL/APJNAHR0Vzn2Lxn/ANB7Q/8AwTy//JNH2Lxn/wBB7Q//AATy/wDyTQB0dFc59i8Z/wDQe0P/AME8v/yTR9i8Z/8AQe0P/wAE8v8A8k0AdHRXOfYvGf8A0HtD/wDBPL/8k0fYvGf/AEHtD/8ABPL/APJNAHR0VxWpXHjPTr/SLX+2NDk/tG6a23f2TKPLxDJLux9o5/1eMcdc9q0vsXjP/oPaH/4J5f8A5JoA6Oiuc+xeM/8AoPaH/wCCeX/5Jo+xeM/+g9of/gnl/wDkmgDo6K5z7F4z/wCg9of/AIJ5f/kmj7F4z/6D2h/+CeX/AOSaAOjornPsXjP/AKD2h/8Agnl/+SaPsXjP/oPaH/4J5f8A5JoA6Oiuc+xeM/8AoPaH/wCCeX/5Jo+xeM/+g9of/gnl/wDkmgDo65y9/wCSkaL/ANgq+/8ARtrR9i8Z/wDQe0P/AME8v/yTSWOh61/wktvq+r6rYXIt7Sa2jitbF4P9Y0bEktK+ceUPTrQB0lFFFABRRRQAUUUUAFFFFABRRRQBiTeLtCg1j+ypL8C681YT+6cxrIwyqGTGwMcjCk55HFXdR1DT9Dspr+9ljtoNwMj7eWY4UDAGWY8AAZJ4FeZX1zCnhrX/AAq5P/CQXesyvBbbT5kokuRJHKP9kIQS3QbCO1dL4t1K0urfS9RhkMtlpGup/aDKjYi2K6EkY6KzoSRwMZ7UAdNpOt6frlvJPp85kWNzHIrxtG8bgA7WRgGU4IOCB1rQrj/ClzDqnirxLrFg4l024+yww3CfcmeNG3sp/iHzKuRx8vtXYUAFFFFABRRRQAUUUUAFFFFAGfq+uadocMUuoTmPzn8uJEjeV5GwThUQFm4BPAp9hfWGtWVvqFlJHcwMS0UgHQjKnrypHII4I5Fc54ouoNI8ZeHdY1GRYdMihu7d7iThIZX8soWPRchHGT6471F4K1G1jF3vcxjWdUu7rTkZGBliG3LjjgEgsM4yGz3oA39O8TaTq2qXWm2Vy8l3arulRoJEAG4rkMygMMgjgnpWtXn8HifQn+L1zCur2RlbTIrNUEy5M4nkzHjP3hkcdea9AoAKKKKACiiigAooooAKKKKAILy8ttOspry8nSC2gQvJK5wqqOpNUtH8RaXr3nrp9wzvBt82KWF4nUN90lHAODg4OMHBrM+IMEs/g258qJ5hDPbzyxIpZnijnR3AA6/Krcd6yIPEWk3PjW78RW16kmj2ulR2txeRgtGZXmyiAgckZOcdN4zigDoL3xXoGiXBsbm4a38gKrlbWQwwggbdzquxBgjqRW8CCAQcg15/428V6TcXs/g2TWLHTvOhxqVzdTpH5ULjlEDH5pGU/RQcnnAPd2whFrCLcqYAi+WVOQVxxg9+KAJaKKKACiiigAooooAKKKKACsSbxdoUGsf2VJfgXXmrCf3TmNZGGVQyY2BjkYUnPI4rbryS+uYU8Na/4Vcn/hILvWZXgttp8yUSXIkjlH+yEIJboNhHagD06/vrLRraS7uFdEdxuMMDyO7EYHyoCxOAB07UzSdb0/XIZZdPnMgify5UeNo3jbAOGRwGU4IPI71TvvEmjrpd3K+sJZRxzvZPdkBRBMAc8uCuR6kFfrWJ4AkEt/4hlju21SCS5jZNWZAv2o+WAV4AQhMAZQAc9MgkgHb0UUUAFFFFABRRRQAUUUUAFZ+r65p2hwxS6hOY/Ofy4kSN5XkbBOFRAWbgE8CtCuP8UXUGkeMvDusajIsOmRQ3du9xJwkMr+WULHouQjjJ9cd6AOjsL6w1qyt9QspI7mBiWikA6EZU9eVI5BHBHIqKbX9Lt9ettDku1GpXMbSxwBWJKjOSSBhehxkjODjpXN+DNRtokvMuYzrOqXl1psboy+dEMZYccAkFucZDZrnYLXxLp3jbwy2paXpz31zcXUtxcx6gzeaTGA3BiG0IgAVcnoASOTQB6xRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRTZHWONpG+6oJP0FADqK89sb3xTrPg8+LLfWVtpJYXu7bTPs0bQeWMlUdiN5YqBlgwwTwOK7PRNTTW9B07VY0MaXttHcBCclQ6hsfhmgC/RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUEZGD0oooA4C+8G67p+gvouhaup0WSTY1m8QW4it3b50inJwMAnbuUnHG4cV3NpawWNlBZ20Yjt4I1iiQdFVRgD8hU1FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//Z",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objective.plot()\n",
    "plt.legend()\n",
    "plt.xlabel(\"Q\")\n",
    "plt.ylabel(\"logR\")\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Let's see the results of the fit. For the case of DifferentialEvolution uncertainties are estimated by estimating the Hessian/Covariance matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "________________________________________________________________________________\n",
      "Objective - 4922706832\n",
      "Dataset = c_PLP0011859_q\n",
      "datapoints = 408\n",
      "chi2 = 921.7684635401719\n",
      "Weighted = True\n",
      "Transform = Transform('logY')\n",
      "________________________________________________________________________________\n",
      "Parameters:       ''       \n",
      "________________________________________________________________________________\n",
      "Parameters: 'instrument parameters'\n",
      "<Parameter:    'scale'    , value=0.878379 +/- 0.00305, bounds=[0.6, 1.2]>\n",
      "<Parameter:     'bkg'     , value=4.38859e-07 +/- 2.12e-08, bounds=[1e-09, 9e-06]>\n",
      "<Parameter:'dq - resolution', value=5  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:  'q_offset'   , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "________________________________________________________________________________\n",
      "Parameters: 'Structure - ' \n",
      "________________________________________________________________________________\n",
      "Parameters:      'Si'      \n",
      "<Parameter: 'Si - thick'  , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "________________________________________________________________________________\n",
      "Parameters:      'Si'      \n",
      "<Parameter:  'Si - sld'   , value=2.07  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:  'Si - isld'  , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'Si - rough'  , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:'Si - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'SiO2'     \n",
      "<Parameter:'SiO2 - thick' , value=38.957 +/- 0.376, bounds=[15.0, 50.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'SiO2'     \n",
      "<Parameter: 'SiO2 - sld'  , value=3.47  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'SiO2 - isld' , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:'SiO2 - rough' , value=5.82041 +/- 0.284, bounds=[1.0, 15.0]>\n",
      "<Parameter:'SiO2 - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'film'     \n",
      "<Parameter:'film - thick' , value=258.86 +/- 0.251, bounds=[200.0, 300.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'film'     \n",
      "<Parameter: 'film - sld'  , value=2.40563 +/- 0.0129, bounds=[0.1, 3.0]>\n",
      "<Parameter: 'film - isld' , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:'film - rough' , value=8.97418 +/- 0.37 , bounds=[1.0, 15.0]>\n",
      "<Parameter:'film - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:      'd2o'     \n",
      "<Parameter: 'd2o - thick' , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "________________________________________________________________________________\n",
      "Parameters:      'd2o'     \n",
      "<Parameter:  'd2o - sld'  , value=6.36  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'd2o - isld'  , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'd2o - rough' , value=3.67537 +/- 0.113, bounds=[1.0, 15.0]>\n",
      "<Parameter:'d2o - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n"
     ]
    }
   ],
   "source": [
    "print(objective)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now lets do a MCMC sampling of the curvefitting system. First we do 400 samples which we then discard (burn). These samples are discarded because the initial chain might not be representative of an equilibrated system (i.e. distributed around the mean with the correct covariance)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 400/400 [00:23<00:00, 16.86it/s]\n"
     ]
    }
   ],
   "source": [
    "fitter.sample(400, pool=-1)\n",
    "fitter.reset()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We then follow up with a production run, only saving 1 in 100 samples. This is to remove autocorrelation. We save 15 steps, giving a total of 15 * 200 samples (200 walkers is the default)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1500/1500 [01:32<00:00, 16.20it/s]\n"
     ]
    }
   ],
   "source": [
    "res = fitter.sample(15, nthin=100, pool=-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "In the final output of the sampling each varying parameter is given a set of statistics. `Parameter.value` is the median of the chain samples. `Parameter.stderr` is half the [15, 85] percentile, representing a standard deviation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "________________________________________________________________________________\n",
      "Objective - 4922706832\n",
      "Dataset = c_PLP0011859_q\n",
      "datapoints = 408\n",
      "chi2 = 919.5974066956189\n",
      "Weighted = True\n",
      "Transform = Transform('logY')\n",
      "________________________________________________________________________________\n",
      "Parameters:       ''       \n",
      "________________________________________________________________________________\n",
      "Parameters: 'instrument parameters'\n",
      "<Parameter:    'scale'    , value=0.87932 +/- 0.00311, bounds=[0.6, 1.2]>\n",
      "<Parameter:     'bkg'     , value=4.59684e-07 +/- 2.27e-08, bounds=[1e-09, 9e-06]>\n",
      "<Parameter:'dq - resolution', value=5  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:  'q_offset'   , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "________________________________________________________________________________\n",
      "Parameters: 'Structure - ' \n",
      "________________________________________________________________________________\n",
      "Parameters:      'Si'      \n",
      "<Parameter: 'Si - thick'  , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "________________________________________________________________________________\n",
      "Parameters:      'Si'      \n",
      "<Parameter:  'Si - sld'   , value=2.07  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:  'Si - isld'  , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'Si - rough'  , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:'Si - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'SiO2'     \n",
      "<Parameter:'SiO2 - thick' , value=38.6415 +/- 0.367, bounds=[15.0, 50.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'SiO2'     \n",
      "<Parameter: 'SiO2 - sld'  , value=3.47  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'SiO2 - isld' , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:'SiO2 - rough' , value=5.82361 +/- 0.299, bounds=[1.0, 15.0]>\n",
      "<Parameter:'SiO2 - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'film'     \n",
      "<Parameter:'film - thick' , value=259.039 +/- 0.247, bounds=[200.0, 300.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:     'film'     \n",
      "<Parameter: 'film - sld'  , value=2.40219 +/- 0.0129, bounds=[0.1, 3.0]>\n",
      "<Parameter: 'film - isld' , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:'film - rough' , value=8.82437 +/- 0.359, bounds=[1.0, 15.0]>\n",
      "<Parameter:'film - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:      'd2o'     \n",
      "<Parameter: 'd2o - thick' , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "________________________________________________________________________________\n",
      "Parameters:      'd2o'     \n",
      "<Parameter:  'd2o - sld'  , value=6.36  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'd2o - isld'  , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter: 'd2o - rough' , value=3.79385 +/- 0.114, bounds=[1.0, 15.0]>\n",
      "<Parameter:'d2o - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n"
     ]
    }
   ],
   "source": [
    "print(objective)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "A corner plot shows the covariance between parameters. You need to install the *matplotlib* and *corner* packages to create these graphs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1810x1810 with 64 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objective.corner();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Once we've done the sampling we can look at the variation in the model at describing the data. In this example there isn't much spread."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objective.plot(samples=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "In a similar manner we can look at the spread in SLD profiles consistent with the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "structure.plot(samples=300)\n",
    "plt.ylim(2.2, 6);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Fitting the BornAgain example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "[BornAgain](https://www.bornagainproject.org/) is another program for fitting reflectometry and GISAS data. The following cells repeat an analysis originally found in their repository. The simulated thickness of the Titanium layer is 30 Angstrom, but we'll start the fit with a value of 50."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# necessary imports\n",
    "import numpy as np\n",
    "from refnx.util import q\n",
    "from refnx.analysis import Objective, CurveFitter, Transform\n",
    "from refnx.dataset import Data1D\n",
    "from refnx.reflect import SLD, Stack, ReflectModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# first grab the data. It can be found in the BornAgain repository,\n",
    "# but it's been archived in the refnx-testdata repository.\n",
    "# The data was originally created in genx.\n",
    "import requests as req\n",
    "import io\n",
    "import gzip\n",
    "\n",
    "url = (\n",
    "    \"https://github.com/refnx/refnx-testdata/raw/refs/heads/master/data/reflect/genx_alternating_layers.dat.gz\"\n",
    ")\n",
    "f = gzip.open(io.BytesIO(req.get(url).content))\n",
    "dataset = np.loadtxt(f, usecols=(0, 1), skiprows=3).T\n",
    "\n",
    "# data is saved as two_theta, convert to Q.\n",
    "dataset[0] = q(dataset[0] / 2, 1.54)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# make a dataset\n",
    "data = Data1D(data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# make the structure\n",
    "air = SLD(0)\n",
    "si = SLD(2.0704)  # silicon substrate\n",
    "ni = SLD(9.4245)  # nickel\n",
    "ti = SLD(-1.9493)  # titanium\n",
    "\n",
    "# make the layers\n",
    "ti_layer = ti(50)\n",
    "ni_layer = ni(70)\n",
    "\n",
    "# Make a multilayer by using a Stack Component\n",
    "stack = Stack()\n",
    "stack |= ti_layer\n",
    "stack |= ni_layer\n",
    "stack.repeats.value = 10\n",
    "\n",
    "# The `|=` syntax is a way of appending Components to the Stack. You can also use that\n",
    "# syntax to append Components to a Structure.\n",
    "# An alternative way of creating the Stack would be:\n",
    "# stack = Stack(components=(ti_layer, ni_layer), repeats=10)\n",
    "\n",
    "structure = air | stack | si(0, 0)\n",
    "\n",
    "# put the Structure in a Model\n",
    "model = ReflectModel(structure, bkg=0, dq=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# we're only going to fit the Titanium thickness\n",
    "ti_layer.thick.setp(vary=True, bounds=(10, 60))\n",
    "\n",
    "# now do the fit\n",
    "objective = Objective(model, data, transform=Transform(\"logY\"))\n",
    "fitter = CurveFitter(objective)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "1.0115324738577631e-07: : 27it [00:00, 75.00it/s]\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# now fit and plot\n",
    "fitter.fit(\"differential_evolution\")\n",
    "fig, ax = objective.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.0230618137099573e-07\n",
      "________________________________________________________________________________\n",
      "Parameters:       ''       \n",
      "<Parameter:  ' - thick'   , value=30 +/- 4.43e-08, bounds=[10.0, 60.0]>\n",
      "________________________________________________________________________________\n",
      "Parameters:       ''       \n",
      "<Parameter:   ' - sld'    , value=-1.9493  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:   ' - isld'   , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:  ' - rough'   , value=0  (fixed) , bounds=[-inf, inf]>\n",
      "<Parameter:' - volfrac solvent', value=0  (fixed) , bounds=[0.0, 1.0]>\n"
     ]
    }
   ],
   "source": [
    "print(objective.chisqr())\n",
    "print(ti_layer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.14.0"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": []
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
