mirror of
https://github.com/vale981/fpraktikum
synced 2025-03-06 01:51:38 -05:00
449 lines
10 KiB
Text
449 lines
10 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"from importlib import reload\n",
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"import utility\n",
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"\n",
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"reload(utility)\n",
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"from utility import *\n",
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"\n",
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"from scipy.optimize import curve_fit\n",
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"from SecondaryValue import SecondaryValue"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [],
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"source": [
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"org_compliance = 0.0098\n",
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"a_an = 26 # cm^2\n",
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"a_org = 6.4e-2 # cm^2\n",
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"a_fol = 25 # cm^2\n",
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"i_ein = 100e-3 # watt/cm^2\n",
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"u_ref = 32.2e-3 # volt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [],
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"source": [
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"intensity = SecondaryValue('u/u_ref*i0', defaults=dict(i0=i_ein, u_ref=u_ref))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [],
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"source": [
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"intensities, d_intensites = intensity(u=([.011, 0.017, .021, .026, .032], 2e-3))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([0.00621118, 0.00621118, 0.00621118, 0.00621118, 0.00621118])"
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]
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},
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"execution_count": 37,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"d_intensites"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 38,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [],
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"source": [
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"ccurves = [parse_ccurve(f'../messungen/191114_OM_VB/2_{point}.dat') \\\n",
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" for point in ['a', 'b', 'c', 'd', 'e']]\n",
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"\n",
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"ccurve_specs = [(intsy, analyze_ccurve(curve, a_an, intsy)) \\\n",
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" for curve, intsy in zip(ccurves, intensities)]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [],
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"source": [
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"%matplotlib qt5\n",
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"fig, ax = plot_ccurve(ccurves[0], label=f'I={intensities[0]*1000:.2f}', area=a_an)\n",
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"\n",
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"for ccurve, intsy in zip(ccurves[1:], intensities[1:]):\n",
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" plot_ccurve_line(ax, ccurve, label=f'I={intsy*1000:.2f}', area=a_an)\n",
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"\n",
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"ax.legend()\n",
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"save_fig(fig, 'B/all.pdf')\n",
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"fig.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 168,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([0.04347826, 0.05279503, 0.06521739, 0.08074534, 0.09937888])"
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]
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},
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"execution_count": 168,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"intensities"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 50,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [],
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"source": [
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"plt.clf()\n",
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"plt.errorbar(*np.array([[intsy*1000, params['j_c']] \\\n",
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" for intsy, params in ccurve_specs]).T, xerr=d_intensites*1000, marker='*', yerr=0.000005/a_an)\n",
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"plt.xlabel('Intensitaet [$mW/cm^2$]')\n",
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"plt.ylabel('$j_{SC}$ [$A/cm^2$]')\n",
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"plt.grid(which='both')\n",
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"plt.savefig('./figs/B/j_sc.pdf', dpi=300)\n",
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"#plt.xscale('log')\n",
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"#plt.yscale('log')\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 51,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [],
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"source": [
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"plt.clf()\n",
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"plt.errorbar(*np.array([[(intsy*1000), params['u_cc']] \\\n",
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" for intsy, params in ccurve_specs]).T, xerr=d_intensites*1000, yerr=0.001, marker='*')\n",
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"plt.xlabel('Intensitaet [$mW/cm^2$]')\n",
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"plt.ylabel('$V_{OC}$ [$V$]')\n",
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"plt.xscale('log')\n",
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"plt.grid(which='both')\n",
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"plt.savefig('./figs/B/u_cc.pdf', dpi=300)\n",
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"#plt.yscale('log')\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 103,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0.0168614765323676"
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]
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},
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"execution_count": 103,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"0.011 * (.032/.011)**(2/5)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 105,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[(0.034161490683229816,\n",
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" {'j_c': 0.0025912392307692305,\n",
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" 'u_cc': 0.5086008577882963,\n",
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" 'u_mlp': 0.3977111360504424,\n",
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" 'p_mlp': 0.022268705563519103,\n",
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" 'ff': 0.6498857684076272,\n",
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" 'eta': 0.025071759410675354}),\n",
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" (0.052795031055900624,\n",
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" {'j_c': 0.01341955,\n",
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" 'u_cc': 0.5600084576663334,\n",
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" 'u_mlp': 0.37999930322896436,\n",
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" 'p_mlp': 0.11432399757691399,\n",
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" 'ff': 0.585101909146971,\n",
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" 'eta': 0.08328580818951652}),\n",
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" (0.06521739130434784,\n",
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" {'j_c': 0.016769280769230767,\n",
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" 'u_cc': 0.5613136094311547,\n",
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" 'u_mlp': 0.36000019842026715,\n",
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" 'p_mlp': 0.13293315750161686,\n",
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" 'ff': 0.5431752390708393,\n",
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" 'eta': 0.07839647750095351}),\n",
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" (0.08074534161490683,\n",
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" {'j_c': 0.02099583076923077,\n",
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" 'u_cc': 0.5641834857878043,\n",
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" 'u_mlp': 0.3399999063957519,\n",
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" 'p_mlp': 0.1534276805047185,\n",
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" 'ff': 0.4981692745272282,\n",
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" 'eta': 0.07308241586171502}),\n",
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" (0.09937888198757765,\n",
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" {'j_c': 0.025274496153846155,\n",
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" 'u_cc': 0.5675239554252917,\n",
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" 'u_mlp': 0.32765580118957827,\n",
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" 'p_mlp': 0.17174272136274898,\n",
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" 'ff': 0.4605091752711381,\n",
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" 'eta': 0.06646773591202546})]"
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]
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},
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"execution_count": 105,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ccurve_specs"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 161,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[<matplotlib.lines.Line2D at 0x7f0eb414d940>,\n",
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" <matplotlib.lines.Line2D at 0x7f0eb414dc50>]"
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]
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},
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"execution_count": 161,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"plt.clf()\n",
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"points = np.arange(0,6)\n",
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"ints = .011 * (.032/.011)**(points/5)\n",
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"plt.plot(np.arange(1,6), intensities, ints)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 162,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([0.03416149, 0.05279503, 0.06521739, 0.08074534, 0.09937888])"
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]
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},
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"execution_count": 162,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"intensities"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 163,
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"metadata": {
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"autoscroll": false,
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"collapsed": false,
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"ein.hycell": false,
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"ein.tags": "worksheet-0",
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"slideshow": {
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"slide_type": "-"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([0.011 , 0.01361897, 0.01686148, 0.02087599, 0.02584631,\n",
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" 0.032 ])"
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]
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},
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"execution_count": 163,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ints"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"argv": [
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"/usr/bin/python3",
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"-m",
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"ipykernel_launcher",
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"-f",
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"{connection_file}"
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],
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"display_name": "Python 3",
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"env": null,
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"interrupt_mode": "signal",
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"language": "python",
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"metadata": null,
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.0"
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},
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"name": "b.ipynb"
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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