{ "cells": [ { "cell_type": "markdown", "id": "932a14e5-f0ba-40ce-8b5b-a9a45db9bdc1", "metadata": {}, "source": [ "# Fit - inequality constraint" ] }, { "cell_type": "code", "execution_count": 1, "id": "dc07bf35-0121-4d45-9bf3-f4c25e725bad", "metadata": {}, "outputs": [], "source": [ "import nexus as nx\n", "#import numpy as np" ] }, { "cell_type": "code", "execution_count": 2, "id": "22151425-bc7d-41bb-b377-91485b038829", "metadata": {}, "outputs": [], "source": [ "# load example spectrum\n", "detuning, intensity = nx.data.Load(\"spectrum_equality.txt\",\n", " x_index = 0,\n", " intensity_index = 1)" ] }, { "cell_type": "code", "execution_count": 3, "id": "3a6c168e-589d-4ae3-86c7-c2859c89ebd9", "metadata": {}, "outputs": [], "source": [ "#setup fit parameters\n", "isomer = nx.Var(0.8, min = 0, max = 2, fit = True, id=\"isomer\")\n", "\n", "# assign to sites\n", "site1 = nx.Hyperfine(\n", " id = \"site 1\",\n", " weight = 0.5,\n", " isomer = isomer,\n", " magnetic_field = nx.Var(value = 32, min = 0, max = 35, fit = True, id = \"mag field 1\"),\n", " isotropic = False)\n", "\n", "site2 = nx.Hyperfine(\n", " id = \"site 2\",\n", " weight = 0.5,\n", " isomer = isomer,\n", " magnetic_field = nx.Var(value = 14, min = 0, max = 35, fit = True, id = \"mag field 2\"),\n", " isotropic = False)\n", "\n", "mat_Fe = nx.Material.Template(nx.lib.material.Fe_enriched)\n", "\n", "mat_Fe.hyperfine_sites = [site1, site2]\n", "\n", "#create sample\n", "lay_Fe = nx.Layer(id = \"Fe\",\n", " material = mat_Fe,\n", " thickness = 2800)\n", "\n", "sample = nx.Sample(id = \"sample\",\n", " layers = [lay_Fe],\n", " geometry = \"f\")\n", "\n", "beam = nx.Beam()\n", "beam.LinearSigma()\n", "\n", "exp = nx.Experiment(beam = beam,\n", " objects = [sample],\n", " isotope = nx.moessbauer.Fe57,\n", " id = \"my exp\")\n", "\n", "energy_spec = nx.EnergySpectrum(exp,\n", " detuning,\n", " intensity_data = intensity,\n", " id = \"energy spec\")" ] }, { "cell_type": "code", "execution_count": 4, "id": "92242ab5-9e9c-4a17-8cfd-3cf287f7f10c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Run Fit instance with id: \n", "\n", "Starting fit with 1 measurement data set(s) and 5 fit parameter(s):\n", "\n", " no. | id | initial value | min | max\n", " 0 | ES scaling | 88182.9 | 0 | 8.81829e+06\n", " 1 | ES backgr | 7777.25 | 0 | 777725\n", " 2 | isomer | 0.8 | 0 | 2\n", " 3 | mag field 1 | 32 | 0 | 35\n", " 4 | mag field 2 | 14 | 0 | 35\n", "\n", "Using 0 equality constraint(s) on parameter(s):\n", "\n", "Using 1 inequality constraint(s).\n", "\n", "\n", "Calling Pagmo solver with fit method PagmoDiffEvol\n", "\n", " population: 60\n", " iterations: 100\n", "\n", " cost = 5.335555e+02\n", "\n", "Calling ceres solver with fit method LevMar\n", "\n", "Ceres Solver Report: Iterations: 4, Initial cost: 5.335555e+02, Final cost: 3.432344e+02, 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 5 fit parameter(s):\n", "\n", " no. | id | fit value | +/- std dev | initial value | min | max\n", " 0 | ES scaling | 100154 | 223.664 | 88182.9 | 0 | 8.81829e+06\n", " 1 | ES backgr | 0 | 170.2 | 7777.25 | 0 | 777725\n", " 2 | isomer | 1.00011 | 0.000490228 | 0.8 | 0 | 2\n", " 3 | mag field 1 | 9.99901 | 0.00644206 | 32 | 0 | 35\n", " 4 | mag field 2 | 33.0033 | 0.00650444 | 14 | 0 | 35\n", "\n", "Correlation matrix:\n", "\n", " no. | 0 1 2 3 4 \n", " -----|---------------------------------------------\n", " 0 | 1.000 -0.978 0.001 0.055 -0.002 \n", " 1 | -0.978 1.000 -0.001 -0.056 0.002 \n", " 2 | 0.001 -0.001 1.000 0.002 0.001 \n", " 3 | 0.055 -0.056 0.002 1.000 0.010 \n", " 4 | -0.002 0.002 0.001 0.010 1.000 \n", "\n", "Using 0 equality constraint(s) on parameter(s):\n", "\n", "and 1 inequality constraint(s).\n", "\n", "Total cost = 3.432e+02\n", "\n", "cost for each FitMeasurement is:\n", "\n", " no. | id | cost | %\n", " 0 | energy spec | 3.432e+02 | 100.000\n", "\n", "Fit instance with id \"\" finished.\n", "\n" ] } ], "source": [ "fit = nx.Fit([energy_spec],\n", " inequalities = [lambda: site1.magnetic_field.value < site2.magnetic_field.value])\n", "\n", "fit.options.method = \"PagmoDiffEvol\"\n", "\n", "fit()" ] }, { "cell_type": "code", "execution_count": 5, "id": "a69b5002-339c-4590-9c2d-dc1f36b394b5", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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