# Getting started¶

Source code is hosted at Github.

To have more details about the use of the toolbox, please have a look to :

README.txt


## How to use the GUI for “pop-in” analysis from indentation tests ?¶

First of all a GUI is a Graphical User Interface.

• Run the following Matlab script :
demo.m

• Answer ‘y’ or ‘yes’ (or press ‘Enter’) to add path to the Matlab search paths, using this script:
path_management.m

• The following window opens:

Figure 2 Screenshot of the main window of the PopIn toolbox.

• Import your (nano)indentation results (.xls file obtained from MTS software with at least more than 20 indentation tests for statistics), by pressing the button ‘Select file’.
• Select the end segment (if segments exist), in order to set the maximum indentation depth.
• Set units and criterion to detect pop-in.
• Once the dataset is loaded and parameters set, run calculations by pressing the green button ‘RUN CALCULATIONS and PLOT’.
• Load-displacement curves and selected cumulative distribution function (cdf) are plotted respectively on the left graphic and the right graphic.
• A picture of the main window as .png file is created and cdf fit results are stored in a .txt file when you press the button ‘SAVE’.
• Results are accessible by typing in the Matlab command window (here for 50 indentation tests) :
gui = guidata(gcf)

gui =
config: [1x1 struct]                % config. of the GUI
data_xls: [1x1 struct]              % details about .xls file
handles: [1x1 struct]               % handles of the GUI = buttons, boxes...
settings: [1x1 struct]              % settings of the GUI
flag: [1x1 struct]                  % flags for errors, calculations
data: [1x50 struct]                 % data cropped
results: [50x1 struct]              % results obtained after calculations
Hertz: [1x1 struct]                 % details about hertzian fit
cumulativeFunction: [1x1 struct]    % cdf fit results


Figure 3 File selector.