{ "cells": [ { "cell_type": "markdown", "id": "7f8b6b4c-e673-4bd5-9b99-da8ca8a46a9c", "metadata": {}, "source": [ "# SiO2 reflectivity" ] }, { "cell_type": "markdown", "id": "de45eb0d-4b61-4425-9165-6facc113caa2", "metadata": {}, "source": [ "SiO2 ~100 nm\n", "\n", "on Al2O3 wafer\n", "\n", "sample length 5 mm\n", "\n", "measured at a CuKalpha source\n", "\n", "beam width ~0.05 mm" ] }, { "cell_type": "code", "execution_count": 1, "id": "82b0491b-7fb0-44f5-8d3e-a8b00ea914c3", "metadata": {}, "outputs": [], "source": [ "import nexus as nx\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "id": "25d6d21d-0365-474f-8fde-799e068168f7", "metadata": {}, "source": [ "## load data" ] }, { "cell_type": "code", "execution_count": 2, "id": "37a55817-295a-4333-b831-1ac30dc8a6a1", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# data are saved as theta and intensity in column 0 and 1\n", "\n", "angles_data, intensity_data = nx.data.Load('SiO2_refl.txt',\n", " x_index = 0,\n", " intensity_index = 1,\n", " # x_start=None,\n", " # x_stop=None,\n", " # intensity_threshold=None\n", " )\n", "\n", "plt.semilogy(angles_data, intensity_data)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "dd97da01-0744-47fc-b851-b5a061699971", "metadata": {}, "source": [ "## sample" ] }, { "cell_type": "code", "execution_count": 3, "id": "67b9749e-1b37-48b1-a3d2-5a6ae25504aa", "metadata": {}, "outputs": [], "source": [ "# fit parameters\n", "\n", "#SiO2\n", "t_SiO2 = nx.Var(100, min = 90, max = 110, fit = True, id = \"t SiO2\")\n", "d_SiO2 = nx.Var(2.65, min = 2.0, max = 2.65, fit = True, id = \"d SiO2\")\n", "r_SiO2 = nx.Var(0.2, min = 0.05, max = 2.0, fit = True, id = \"r SiO2\")\n", "\n", "#substrate\n", "r_subs = nx.Var(0.1, min = 0.05, max = 0.4, fit = True, id = \"r subs\")\n", "\n", "\n", "SiO2 = nx.Material(id = \"SiO2\",\n", " composition = [(\"Si\", 1), (\"O\", 2)],\n", " density = d_SiO2\n", " )\n", "\n", "lay_SiO2 = nx.Layer(id = \"lay SiO2\",\n", " material = SiO2,\n", " thickness = t_SiO2,\n", " roughness = r_SiO2\n", " )\n", "\n", "# silicon substrate\n", "substrate = nx.Layer(id = \"Si substrate\",\n", " material = nx.Material.Template(nx.lib.material.Al2O3),\n", " thickness = nx.inf, # set the substrate to infinite thickness\n", " roughness = r_subs\n", " )\n", "\n", "# define sample\n", "# in grazing incidence the beam profile and the sample length get important\n", "sample = nx.Sample(layers = [lay_SiO2,\n", " substrate], # define layers from top to bottom\n", " geometry = \"r\", # set the sample geometry to reflectivity\n", " roughness = \"a\", # analytical roughness model \n", " length = 5 # in mm\n", " )" ] }, { "cell_type": "markdown", "id": "b29dd01a-ba26-4457-827a-4e92581db971", "metadata": {}, "source": [ "## experiment" ] }, { "cell_type": "code", "execution_count": 4, "id": "a7d1ab96-e36a-458e-8d34-83b616bb6b23", "metadata": {}, "outputs": [], "source": [ "beam_fwhm = nx.Var(0.03, min = 0.02, max = 0.06, fit = True, id = \"b fwhm\")\n", "\n", "beam = nx.Beam(profile = 'g', # Gaussian beam profile\n", " fwhm = beam_fwhm # FWHM of the beam in the scattering plane, in mm\n", " ) \n", "\n", "exp = nx.Experiment(beam = beam,\n", " objects = [sample]\n", " )" ] }, { "cell_type": "markdown", "id": "715078f0-faf4-4043-b7f7-7f4f454f3976", "metadata": {}, "source": [ "## reflectivity" ] }, { "cell_type": "code", "execution_count": 5, "id": "7e4449b1-890a-48e9-98f6-5bb0127d58f5", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "res = nx.Var(0.01, min = 1e-7, max = 0.02, fit = True, id = \"resolution\")\n", "\n", "reflectivity = nx.Reflectivity(experiment = exp,\n", " sample = sample, # sample in the experiment for the reflectivity calculation\n", " energy = nx.lib.energy.CuKalpha, # Cu K alpha line\n", " angles = angles_data, # loaded dataset\n", " intensity_data = intensity_data, # loaded dataset\n", " # scaling = 'auto',\n", " # background = 0.0,\n", " # offset = 0.0,\n", " resolution = res,\n", " # residual = nx.lib.residual.Log10() # or change to another nx.lib.residual. method\n", " )\n", "\n", "reflectivity()\n", "reflectivity.Plot()" ] }, { "cell_type": "markdown", "id": "370cb1b6-a6fa-4d46-8673-f8bce5b4b1e5", "metadata": {}, "source": [ "## fit" ] }, { "cell_type": "code", "execution_count": 6, "id": "ee1da5de-ee56-4669-ae53-60c552c6adb3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Run Fit instance with id: fit reflectivity \n", "\n", "Starting fit with 1 measurement data set(s) and 7 fit parameter(s):\n", "\n", " no. | id | initial value | min | max\n", " 0 | Refl scaling | 916932 | 0 | 9.16932e+07\n", " 1 | resolution | 0.01 | 1e-07 | 0.02\n", " 2 | b fwhm | 0.03 | 0.02 | 0.06\n", " 3 | t SiO2 | 100 | 90 | 110\n", " 4 | r SiO2 | 0.2 | 0.05 | 2\n", " 5 | d SiO2 | 2.65 | 2 | 2.65\n", " 6 | r subs | 0.1 | 0.05 | 0.4\n", "\n", "Using 0 equality constraint(s) on parameter(s):\n", "\n", "Using 0 inequality constraint(s).\n", "\n", "\n", "Calling Pagmo solver with fit method PagmoDiffEvol\n", "\n", " population: 80\n", " iterations: 200\n", "\n", " cost = 1.310547e-01\n", "\n", "Calling ceres solver with fit method LevMar\n", "\n", "Ceres Solver Report: Iterations: 1, Initial cost: 1.310547e-01, Final cost: 1.310547e-01, Termination: CONVERGENCE\n", "\n", "Gradient error analysis.\n", "\n", "\n", "Fit performed with algorithm:\n", "PagmoDiffEvol\n", "Local algorithm:\n", "LevMar\n", "Error analysis:\n", "Gradient\n", "\n", "Using 7 fit parameter(s):\n", "\n", " no. | id | fit value | +/- std dev | initial value | min | max\n", " 0 | Refl scaling | 3.62628e+06 | 2.92717e-08 | 916932 | 0 | 9.16932e+07\n", " 1 | resolution | 0.019984 | 0.000298631 | 0.01 | 1e-07 | 0.02\n", " 2 | b fwhm | 0.0598533 | 0.000494428 | 0.03 | 0.02 | 0.06\n", " 3 | t SiO2 | 96.2317 | 0.0141121 | 100 | 90 | 110\n", " 4 | r SiO2 | 0.0557617 | 0.0727758 | 0.2 | 0.05 | 2\n", " 5 | d SiO2 | 2.49841 | 0.00894172 | 2.65 | 2 | 2.65\n", " 6 | r subs | 0.0884143 | 0.158201 | 0.1 | 0.05 | 0.4\n", "\n", "Correlation matrix:\n", "\n", " no. | 0 1 2 3 4 5 6 \n", " -----|---------------------------------------------------------------\n", " 0 | 1.000 0.566 0.309 -0.096 0.549 -0.218 -0.825 \n", " 1 | 0.566 1.000 0.191 -0.147 0.696 -0.302 -0.728 \n", " 2 | 0.309 0.191 1.000 0.069 0.090 0.087 -0.200 \n", " 3 | -0.096 -0.147 0.069 1.000 0.087 0.637 -0.013 \n", " 4 | 0.549 0.696 0.090 0.087 1.000 0.080 -0.926 \n", " 5 | -0.218 -0.302 0.087 0.637 0.080 1.000 0.047 \n", " 6 | -0.825 -0.728 -0.200 -0.013 -0.926 0.047 1.000 \n", "\n", "Using 0 equality constraint(s) on parameter(s):\n", "\n", "and 0 inequality constraint(s).\n", "\n", "Total cost = 1.311e-01\n", "\n", "cost for each FitMeasurement is:\n", "\n", " no. | id | cost | %\n", " 0 | | 1.311e-01 | 100.000\n", "\n", "Fit instance with id \"fit reflectivity\" finished.\n", "\n" ] } ], "source": [ "fit = nx.Fit(id = \"fit reflectivity\",\n", " measurements = [reflectivity]\n", " # external_fit_variables = [] # for advanced fitting\n", " # einequalities = None # for advanced fitting\n", " )\n", "\n", "fit.options.file_output = False # no putput file is generated for fit\n", "fit.options.method = \"PagmoDiffEvol\" # or any other method of choice\n", "\n", "# for refelctivities it is often good to increase the iterations of global methods\n", "fit.options.iterations = 200\n", "\n", "fit.Evaluate()" ] }, { "cell_type": "code", "execution_count": 7, "id": "7515dd30-9631-4af9-828d-50fce131a2a2", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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