import plotting.plot_radial_integ import io.spec_read scan_nr=565; %backgroundscan=343; base_path='~/Data10/'; eaccount=beamline.identify_eaccount; %spec_data = spec_read(base_path,'ScanNr',scan_nr); %transmission_data=mean(spec_data.diode); datafile=sprintf('%sanalysis/radial_integration/%s_1_%05d_00000_00000_integ.mat',base_path,eaccount,scan_nr); %backgroundfile=sprintf('%sanalysis/radial_integration/%s_1_%05d_00000_00000_integ.mat',base_path,eaccount,backgroundscan); %spec_data_bgr = spec_read(base_path,'ScanNr',backgroundscan); %transmission_bgr=mean(spec_data_bgr.diode); %correction=transmission_data/transmission_bgr; plot_radial_integ(... datafile,... 'FigNo',102,... number of the figure for plotting the integrated intensities, default is 100 'NewFig',1,... open a new figure for each file, default is 0 'ClearFig',0,... clear the figure before plotting, default is 1 'XLog',1,... logarithmic scaling of the x-axis, default is 0 'YLog',1,... logarithmic scaling of the y-axis, default is 1 'PlotQ',0,... plot as a function of momentum transfer q rather than pixel no., default is 0 'PlotAngle',0,... plot as a function of the azimuthal angle rather than q or the radius, default is 0 'RadiusRange',[],... for azimuthal plots the intensity over this radius range is averaged, default is [] for all radii 'QMulPow',[],... multiply intensity with q to the power of this value, default is [ ] for no multiplication 'Inverse_nm',1,... plot q in inverse nm rather than inverse Angstroem, default is 0 'SegAvg',1,... average over angular segments rather than plotting them with different line colours, default is 1 'SegRange',[],... segment range to plot, default is [] for all segments 'LegendMulSeg',1,... show a legend in case of multiple segments being plotted, default is 1 'PointAvg',0,... plot the average of all intensity curves in the file, which typically means the average of a scan line, default is 1 'PointRange',[]);%,... %point range to plot, default is [] for all points in a file %'BgrFilename',backgroundfile,... % background to subtract from each intensity profile, must have the same dimensions the data have %'BgrScale',correction); % scaling factor to apply to the backgroubnd data, default is 1.000e+00 %'Axis',<[ x_from x_to y_from y_to ]> fixed scale for the plot %'SleepTime', wait time after each plot, default is 0.000 %'XLog',<0-no, 1-yes> logarithmic scaling of the x-axis, default is 0 %'YLog',<0-no, 1-yes> logarithmic scaling of the y-axis, default is 1 %'FilenameIntegMasks', Matlab file containing the integration masks, needed for normalization in case of averaging over radii, default is '~/Data10/analysis/data/pilatus_integration_masks.mat' %'BgrFilename',<'filename'> background to subtract from each intensity profile, must have the same dimensions the data have %'BgrScale', scaling factor to apply to the backgroubnd data, default is 1.000e+00 %'BgrPoint', point to use from the file BgrFilename, default is 1, use [] to subtract 1:1 %*-----------------------------------------------------------------------* %|                                                                       | %|  Except where otherwise noted, this work is licensed under a          | %|  Creative Commons Attribution-NonCommercial-ShareAlike 4.0            | %|  International (CC BY-NC-SA 4.0) license.                             | %|                                                                       | %|  Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch)    | %|                                                                       | %|      Author: CXS group, PSI  | %*-----------------------------------------------------------------------* % You may use this code with the following provisions: % % If the code is fully or partially redistributed, or rewritten in another % computing language this notice should be included in the redistribution. % % If this code, or subfunctions or parts of it, is used for research in a % publication or if it is fully or partially rewritten for another % computing language the authors and institution should be acknowledged % in written form in the publication: “Data processing was carried out % using the “cSAXS matlab package” developed by the CXS group, % Paul Scherrer Institut, Switzerland.” % Variations on the latter text can be incorporated upon discussion with % the CXS group if needed to more specifically reflect the use of the package % for the published work. % % A publication that focuses on describing features, or parameters, that % are already existing in the code should be first discussed with the % authors. % % This code and subroutines are part of a continuous development, they % are provided “as they are” without guarantees or liability on part % of PSI or the authors. It is the user responsibility to ensure its % proper use and the correctness of the results.