diff --git a/pure code not instalable as environment/workspaces/jupyter/Iq_processor.ipynb b/pure code not instalable as environment/workspaces/jupyter/Iq_processor.ipynb index 3f460d554c2ca7a3fb77d4ab2c84708a3014cce3..2c2fe25be6f6cf18b9798614b754ad5dcd986373 100644 --- a/pure code not instalable as environment/workspaces/jupyter/Iq_processor.ipynb +++ b/pure code not instalable as environment/workspaces/jupyter/Iq_processor.ipynb @@ -624,11 +624,11 @@ "### Background subtraction and PDF generation\n", "\n", "The fast version of the BG subtraction just accounts for getting a good factor,\n", - "where one part of the data in a choosen region approches 0. The more time intesive approche includes\n", - "the maximization of the PDF in a choosen region, where the main peak of the data is expected. This works quite nice, since the PDFunder normal circumstances increases, when the BG is subtracted better.\n", + "where one part of the data in a chosen region approches 0. The more time-intensive approach includes\n", + "the maximization of the PDF in a chosen region, where we expect the main peak of the data. This works quite nicely, since the amplitude of the PDF increases under normal circumstances, when the background subtraction is optimised.\n", "\n", - "Limits however are, that you need to define the region and decrease the resolution for faster convergion in a iterative monte carlo approche. This can sometime lead to some ammounts of oversubtraction in some parts of the data set,\n", - "if the factor for lower resolution is higher than for higher resolution. But also for this you can do some trics in FT space.\n" + "Limits however are, that you need to define the region and decrease the resolution for faster convergence in an iterative Monte Carlo approach. This can sometimes lead to oversubtraction in some parts of the data set,\n", + "if the factor for lower resolution is higher than for higher resolution. But also for this you can do some tricks in FT space.\n" ] }, { @@ -771,7 +771,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Check NP phase in XRD" + "### Check nanoparticle phase in XRD pattern" ] }, { @@ -781,21 +781,21 @@ "#### Add references to compare the XRD pattern to\n", "\n", "<div class=\"alert alert-block alert-note\">\n", - "<b>Note:</b> cif files need information about the estimated gaussian broadening and the exponatial decay of I(q) with q. The values given are optimized for ~100 keV. \n", + "<b>Note:</b> cif files need to contain information about the estimated gaussian broadening and the exponential decay of I(q) with q. The values given are optimized for ~100 keV. \n", "</div>" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "check_phases_at_scan = 9 #choose last scan processed by the live integration devided by the number of averged scans\n", + "check_phases_at_scan = 9 #choose last scan processed by the live integration divided by the number of averaged scans\n", "energy = 101.5 #Energy in keV for the reference calculation from cif files.\n", "\n", - "# References can be loaded as howl sets of the phases you expect:\n", - "references = { 'ZnS Sph': {'path': rootdir + \"/references/ZnS Sphalerite.cif\", #Change here references name (Copper) and path (/references/cu.cif) to acces other references\n", + "# References can be loaded as whole sets of the phases you expect:\n", + "references = { 'ZnS Sph': {'path': rootdir + \"/references/ZnS Sphalerite.cif\", #Change the reference name (Copper) and path (/references/cu.cif) here to access other references\n", " 'broadening': 0.1, #gaussian sigma for broadening effects\n", " 'decay_rate': 0.8}, #exponential decay can be added to match the data better (put 0 for no decay: exp(0)=1) \n", " 'ZnS Wz':{'path': rootdir + \"/references/ZnS Wurzit.cif\",\n", @@ -810,7 +810,7 @@ " # 'Zn': {'path': rootdir + \"/references/Zn.cif\",\n", " # 'broadening': 0.1,\n", " # 'decay_rate': 0.8},\n", - " } #you an add more if nessicarry, just add another three lined block " + " } #you can add more if necessary, just add another three lined block " ] }, { @@ -819,68 +819,29 @@ "source": [ "#### Compute Plot\n", "\n", - "XU.materials gives warning s if not iones but just element symboles are used (i.e. element S used instead of S2-)\n", + "XU.materials gives warnings if element symbols are used instead of ions (i.e. element S used instead of S2-)\n", "This does not affect the XRD pattern." ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "XU.materials: Warning: element S used instead of S2-\n", - "XU.materials: Warning: element S used instead of S2-\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 910x520 with 2 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 700x400 with 3 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "ename": "IndexError", - "evalue": "list index out of range", + "ename": "NameError", + "evalue": "name 'deepcopy' is not defined", "output_type": "error", "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[23], line 14\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[38;5;66;03m# In addition 2D and 1D plots of the data over time can be plottet\u001b[39;00m\n\u001b[0;32m 13\u001b[0m meas_xrd\u001b[38;5;241m.\u001b[39mplot2dTemp(savefig\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msvg\u001b[39m\u001b[38;5;124m'\u001b[39m,outputPath\u001b[38;5;241m=\u001b[39mrootdir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/processed/\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m meas_sampleName \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/XRD_Plots/meas_2D_plot/\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m---> 14\u001b[0m \u001b[43mmeas_xrd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot1dvsTime\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstep_width\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mmaxQ\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m15\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m120\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mplot_temp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43msavefig\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msvg\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43moutputPath\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrootdir\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/processed/\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mmeas_sampleName\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/XRD_Plots/meas_1D_plot/\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32m~\\Nextcloud\\Synchrotron_Scripts\\PDF\\Pure_code\\Version_0425\\functions\\plotting.py:614\u001b[0m, in \u001b[0;36mPlotting_XRD.plot1dvsTime\u001b[1;34m(self, offsetTime, title, savefig, outputPath, step_width, maxQ, minQ, plot_temp, min_index, max_index)\u001b[0m\n\u001b[0;32m 611\u001b[0m min_index_time \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(min_index\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maverage)\n\u001b[0;32m 613\u001b[0m \u001b[38;5;66;03m# Add colormap\u001b[39;00m\n\u001b[1;32m--> 614\u001b[0m sm \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mScalarMappable(cmap\u001b[38;5;241m=\u001b[39mcolormapRB, norm\u001b[38;5;241m=\u001b[39mplt\u001b[38;5;241m.\u001b[39mNormalize(vmin\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mint\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtime_array[min_index_time]), vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mint\u001b[39m(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtime_array\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmax_index_time\u001b[49m\u001b[43m]\u001b[49m)))\n\u001b[0;32m 615\u001b[0m cb \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mcolorbar(sm)\n\u001b[0;32m 616\u001b[0m cb\u001b[38;5;241m.\u001b[39mset_label(label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTime [min]\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[1;31mIndexError\u001b[0m: list index out of range" + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mNameError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# This is needed in order to not apply the same filter and baseline subtraction over and over to the real data,\u001b[39;00m\n\u001b[32m 2\u001b[39m \u001b[38;5;66;03m# when running this part multiple times\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m meas_xrd = \u001b[43mdeepcopy\u001b[49m(meas)\n\u001b[32m 5\u001b[39m \u001b[38;5;66;03m# with baseline correction and filtering the data is easier to interpret:\u001b[39;00m\n\u001b[32m 6\u001b[39m \u001b[38;5;66;03m#meas_xrd.baselineCorrection(20)\u001b[39;00m\n\u001b[32m 7\u001b[39m \u001b[38;5;66;03m#meas_xrd.Filter('whittaker',10)\u001b[39;00m\n\u001b[32m 8\u001b[39m \n\u001b[32m 9\u001b[39m \u001b[38;5;66;03m# Here we perform the phase check\u001b[39;00m\n\u001b[32m 10\u001b[39m meas_xrd.checkPhases(\u001b[32m5\u001b[39m,references=references,savefig=\u001b[33m'\u001b[39m\u001b[33mpng\u001b[39m\u001b[33m'\u001b[39m,outputPath=rootdir + \u001b[33m'\u001b[39m\u001b[33m/processed/\u001b[39m\u001b[33m'\u001b[39m + meas_sampleName + \u001b[33m'\u001b[39m\u001b[33m/XRD_Plots/meas_phase_check/\u001b[39m\u001b[33m'\u001b[39m,minQ=\u001b[32m2\u001b[39m, maxQ=\u001b[32m10\u001b[39m, energy=energy)\n", + "\u001b[31mNameError\u001b[39m: name 'deepcopy' is not defined" ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 640x480 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "# Needed to not apply the same filter and baseline subtraction over and over from the real data,\n", + "# This is needed in order to not apply the same filter and baseline subtraction over and over to the real data,\n", "# when running this part multiple times\n", "meas_xrd = deepcopy(meas)\n", "\n", @@ -891,10 +852,17 @@ "# Here we perform the phase check\n", "meas_xrd.checkPhases(5,references=references,savefig='png',outputPath=rootdir + '/processed/' + meas_sampleName + '/XRD_Plots/meas_phase_check/',minQ=2, maxQ=10, energy=energy)\n", "\n", - "# In addition 2D and 1D plots of the data over time can be plottet\n", + "# In addition 2D and 1D plots of the data over time can be created\n", "meas_xrd.plot2dTemp(savefig='svg',outputPath=rootdir + '/processed/' + meas_sampleName + '/XRD_Plots/meas_2D_plot/')\n", "meas_xrd.plot1dvsTime(step_width=1,maxQ=15, max_index=120, plot_temp=True,savefig='svg',outputPath=rootdir + '/processed/' + meas_sampleName + '/XRD_Plots/meas_1D_plot/')" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": {