diff --git a/@MyFit/MyFit.m b/@MyFit/MyFit.m
index bfc5fbf..540980e 100644
--- a/@MyFit/MyFit.m
+++ b/@MyFit/MyFit.m
@@ -1,445 +1,447 @@
 classdef MyFit < handle
     properties (Access=public)
         Data;
+        %Contains values used for calibration, e.g. frequency references
+        CalStruct;
         init_params=[];
         scale_init=[];
         lim_lower;
         lim_upper;
         enable_plot;
         plot_handle;
         save_name;
         save_dir;
     end
     
     properties (GetAccess=public, SetAccess=private)
         Fit;
         Gui;
         Fitdata;
         FitStruct;
         coeffs;
         fit_name='Linear'
     end
     
     properties (Access=private)
         Parser;
         enable_gui=1;
         hline_init;
     end
     
     properties (Dependent=true)
         fit_function;
         fit_tex;
         fit_params;
         fit_param_names;
         valid_fit_names;
         n_params;
         scaled_params;
         init_param_fun;
         x_vec;
     end
     
     events
         NewFit;
         NewInitVal;
     end
     
     %%Public methods
     methods (Access=public)
         %Constructor function
         function this=MyFit(varargin)
             createFitStruct(this);
             createParser(this);
             parse(this.Parser,varargin{:});
             parseInputs(this);
             
             if ismember('Data',this.Parser.UsingDefaults) &&...
                     ~ismember('x',this.Parser.UsingDefaults) &&...
                     ~ismember('y',this.Parser.UsingDefaults)
                 
                 this.Data.x=this.Parser.Results.x;
                 this.Data.y=this.Parser.Results.y;
             end
             
             %Sets the scale_init to 1, this is used for the GUI.
             this.scale_init=ones(1,this.n_params);
             this.init_params=ones(1,this.n_params);
             
             if this.enable_gui; createGui(this); end
             
             %If the data is appropriate, generates initial
             %parameters
             if validateData(this); genInitParams(this); end
         end
         
         %Deletion function of object
         function delete(this)
             if this.enable_gui
                 %Avoids loops
                 set(this.Gui.Window,'CloseRequestFcn','');
                 %Deletes the figure
                 delete(this.Gui.Window);
                 %Removes the figure handle to prevent memory leaks
                 this.Gui=[];
             end
             if ~isempty(this.hline_init); delete(this.hline_init); end
             if ~isempty(this.Fit.hlines); delete(this.Fit.hlines{:}); end
         end
         %Close figure callback simply calls delete function for class
         function closeFigure(this,~,~)
             delete(this);
         end
         
         %Fits the trace using currently set parameters, depending on the
         %model.
         function fitTrace(this)
             this.Fit.x=this.x_vec;
             switch this.fit_name
                 case 'Linear'
                     %Fits polynomial of order 1
                     this.coeffs=polyfit(this.Data.x,this.Data.y,1);
                     this.Fit.y=polyval(this.coeffs,this.Fit.x);
                 case 'Quadratic'
                     %Fits polynomial of order 2
                     this.coeffs=polyfit(this.Data.x,this.Data.y,2);
                     this.Fit.y=polyval(this.coeffs,this.Fit.x);
                 case {'Exponential','Gaussian','Lorentzian',...
                         'DoubleLorentzian'}
                     doFit(this);
                 otherwise
                     error('Selected fit is invalid');
             end
             %Sets the new initial parameters to be the fitted parameters
             this.init_params=this.coeffs;
             %Resets the scale variables for the GUI
             this.scale_init=ones(1,this.n_params);
             %Updates the gui if it is enabled
             if this.enable_gui; updateGui(this); end
             %Plots the fit if the flag is on
             if this.enable_plot; plotFit(this); end
             %Triggers new fit event
             triggerNewFit(this);
         end
         
         %% Callbacks
         %Save function callback
         function saveCallback(this,~,~)
             assert(~isempty(this.save_dir),'Save directory is not specified');
             assert(ischar(this.save_dir),...
                 ['Save directory is not specified.',...
                 ' Should be of type char but is %s.'], ...
                 class(this.save_dir))
             try
                 this.Fit.save('name',this.save_name,...
                     'save_dir',this.save_dir)
             catch
                 error(['Attempted to save to directory %s',...
                     ' with file name %s, but failed'],this.save_dir,...
                     this.save_name);
             end
         end
         %Callback functions for sliders in GUI. Uses param_ind to find out
         %which slider the call is coming from, this was implemented to
         %speed up the callback.
         function sliderCallback(this, param_ind, hObject, ~)
             %Gets the value from the slider
             scale=get(hObject,'Value');
             %Updates the scale with a new value
             this.scale_init(param_ind)=10^((scale-50)/50);
             %Updates the edit box with the new value from the slider
             set(this.Gui.(sprintf('Edit_%s',this.fit_params{param_ind})),...
                 'String',sprintf('%3.3e',this.scaled_params(param_ind)));
             if this.enable_plot; plotInitFun(this); end
         end
         
         %Callback function for edit boxes in GUI
         function editCallback(this, hObject, ~)
             init_param=str2double(get(hObject,'String'));
             tag=get(hObject,'Tag');
             %Finds the index where the fit_param name begins (convention is
             %after the underscore)
             fit_param=tag((strfind(tag,'_')+1):end);
             param_ind=strcmp(fit_param,this.fit_params);
             %Updates the slider to be such that the scaling is 1
             set(this.Gui.(sprintf('Slider_%s',fit_param)),...
                 'Value',50);
             %Updates the correct initial parameter
             this.init_params(param_ind)=init_param;
             if this.enable_plot; plotInitFun(this); end
             %Triggers event for new init values
             triggerNewInitVal(this);
         end
         
         %Callback function for analyze button in GUI. Checks if the data is
         %ready for fitting.
         function analyzeCallback(this, ~, ~)
             assert(validateData(this),...
                 ['The length of x is %d and the length of y is',...
                 ' %d. The lengths must be equal and greater than ',...
                 'the number of fit parameters to perform a fit'],...
                 length(this.Data.x),length(this.Data.y))
             fitTrace(this);
         end
         
         %Callback for clearing the fits on the axis.
         function clearFitCallback(this,~,~)
             clearFit(this);
         end
         
         %Callback function for generate init parameters button. Updates GUI
         %afterwards
         function initParamCallback(this,~,~)
             genInitParams(this);
             updateGui(this);
         end
         
         %Generates model-dependent initial parameters, lower and upper
         %boundaries.
         function genInitParams(this)
             assert(validateData(this), ['The data must be vectors of',...
                 ' equal length greater than the number of fit parameters.',...
                 ' Currently the number of fit parameters is %d, the',...
                 ' length of x is %d and the length of y is %d'],...
                 this.n_params,length(this.Data.x),length(this.Data.y));
             %Cell for putting parameters in to be interpreted in the
             %parser. Element 1 contains the init params, Element 2 contains
             %the lower limits and Element 3 contains the upper limits.
             params={};
             
             switch this.fit_name
                 case 'Exponential'
                     [params{1},params{2},params{3}]=...
                         initParamExponential(this.Data.x,this.Data.y);
                 case 'Gaussian'
                     [params{1},params{2},params{3}]=...
                         initParamGaussian(this.Data.x,this.Data.y);
                 case 'Lorentzian'
                     [params{1},params{2},params{3}]=...
                         initParamLorentzian(this.Data.x,this.Data.y);
                 case 'DoubleLorentzian'
                     [params{1},params{2},params{3}]=...
                         initParamDblLorentzian(this.Data.x,this.Data.y);
             end
             
             %Validates the initial parameters
             p=createFitParser(this.n_params);
             parse(p,params{:});
             
             %Loads the parsed results into the class variables
             this.init_params=p.Results.init_params;
             this.lim_lower=p.Results.lower;
             this.lim_upper=p.Results.upper;            
             
             %Plots the fit function with the new initial parameters
             if this.enable_gui; plotInitFun(this); end
         end
         
         %Plots the trace contained in the Fit MyTrace object.
         function plotFit(this,varargin)
             this.Fit.plotTrace(this.plot_handle,varargin{:});
         end
                 
         %Clears the plots
         function clearFit(this)
             cellfun(@(x) delete(x), this.Fit.hlines);
             delete(this.hline_init);
             this.hline_init=[];
             this.Fit.hlines={};
         end
                 
         %Function for plotting fit model with current initial parameters.
         function plotInitFun(this)
             %Substantially faster than any alternative - generating
             %anonymous functions is very cpu intensive.
             
             input_cell=num2cell(this.scaled_params);
             y_vec=feval(this.FitStruct.(this.fit_name).anon_fit_fun,...
                 this.x_vec,input_cell{:});
             if isempty(this.hline_init)
                 this.hline_init=plot(this.plot_handle,this.x_vec,y_vec);
             else
                 set(this.hline_init,'XData',this.x_vec,'YData',y_vec);
             end
         end
     end
     
     methods(Access=private)
         %Creates the GUI of MyFit, in separate file.
         createGui(this);
         
         %Creates a panel for the GUI, in separate file
         createMechTab(this, bg_color, button_h);
         
         %Creats two vboxes (from GUI layouts) to display values of
         %quantities
         createUnitDisp(this, bg_color, h_parent, name);
         
         %Creates parser for constructor
         function createParser(this)
             p=inputParser;
             addParameter(p,'fit_name','Linear',@ischar)
             addParameter(p,'Data',MyTrace());
             addParameter(p,'Fit',MyTrace());
             addParameter(p,'x',[]);
             addParameter(p,'y',[]);
             addParameter(p,'enable_gui',1);
             addParameter(p,'enable_plot',0);
             addParameter(p,'plot_handle',[]);
             addParameter(p,'save_dir',[]);
             addParameter(p,'save_name',[]);
             this.Parser=p;
         end
         
         %Sets the class variables to the inputs from the inputParser.
         function parseInputs(this)
             for i=1:length(this.Parser.Parameters)
                 %Takes the value from the inputParser to the appropriate
                 %property.
                 if isprop(this,this.Parser.Parameters{i})
                     this.(this.Parser.Parameters{i})=...
                         this.Parser.Results.(this.Parser.Parameters{i});
                 end
             end
         end
         
         %Does the fit with the currently set parameters
         function doFit(this)
             %Fits with the below properties. Chosen for maximum accuracy.
             this.Fitdata=fit(this.Data.x,this.Data.y,this.fit_function,...
                 'Lower',this.lim_lower,'Upper',this.lim_upper,...
                 'StartPoint',this.init_params, ....
                 'MaxFunEvals',2000,'MaxIter',2000,'TolFun',1e-9);
             %Puts the y values of the fit into the struct.
             this.Fit.y=this.Fitdata(this.Fit.x);
             %Puts the coeffs into the class variable.
             this.coeffs=coeffvalues(this.Fitdata);
         end
         
         %Triggers the NewFit event such that other objects can use this to
         %e.g. plot new fits
         function triggerNewFit(this)
             notify(this,'NewFit');
         end
         
         function triggerNewInitVal(this)
             notify(this,'NewInitVal');
         end
 
         %Creates the struct used to get all things relevant to the fit
         %model
         function createFitStruct(this)
             %Adds fits
             addFit(this,'Linear','a*x+b','$$ax+b$$',{'a','b'},...
                 {'Gradient','Offset'})
             addFit(this,'Quadratic','a*x^2+b*x+c','$$ax^2+bx+c$$',...
                 {'a','b','c'},{'Quadratic coeff.','Linear coeff.','Offset'});
             addFit(this,'Gaussian','a*exp(-((x-c)/b)^2/2)+d',...
                 '$$ae^{-\frac{(x-c)^2}{2b^2}}+d$$',{'a','b','c','d'},...
                 {'Amplitude','Width','Center','Offset'});
             addFit(this,'Lorentzian','1/pi*a*b/2/((x-c)^2+(b/2)^2)+d',...
                 '$$\frac{a}{\pi}\frac{b/2}{(x-c)^2+(b/2)^2}+d$$',{'a','b','c','d'},...
                 {'Amplitude','Width','Center','Offset'});
             addFit(this,'Exponential','a*exp(b*x)+c',...
                 '$$ae^{bx}+c$$',{'a','b','c'},...
                 {'Amplitude','Rate','Offset'});
             addFit(this,'DoubleLorentzian',...
                 '1/pi*b/2*a/((x-c)^2+(b/2)^2)+1/pi*e/2*d/((x-f)^2+(e/2)^2)+g',...
                 '$$\frac{a}{\pi}\frac{b/2}{(x-c)^2+(b/2)^2}+\frac{d}{\pi}\frac{e/2}{(x-f)^2+(e/2)^2}+g$$',...
                 {'a','b','c','d','e','f','g'},...
                 {'Amplitude 1','Width 1','Center 1','Amplitude 2',...
                 'Width 2','Center 2','Offset'});
         end
         
         %Updates the GUI if the edit or slider boxes are changed from
         %elsewhere.
         function updateGui(this)
             %Converts the scale variable to the value between 0 and 100
             %necessary for the slider
             slider_vals=50*log10(this.scale_init)+50;
             for i=1:this.n_params
                 set(this.Gui.(sprintf('Edit_%s',this.fit_params{i})),...
                     'String',sprintf('%3.3e',this.scaled_params(i)));
                 set(this.Gui.(sprintf('Slider_%s',this.fit_params{i})),...
                     'Value',slider_vals(i));
             end
         end
         
         %Adds a fit to the list of fits
         function addFit(this,fit_name,fit_function,fit_tex,fit_params,...
                 fit_param_names)
             this.FitStruct.(fit_name).fit_function=fit_function;
             this.FitStruct.(fit_name).fit_tex=fit_tex;
             this.FitStruct.(fit_name).fit_params=fit_params;
             this.FitStruct.(fit_name).fit_param_names=fit_param_names;
             %Generates the anonymous fit function from the above
             args=['@(x,', strjoin(fit_params,','),')'];
             anon_fit_fun=str2func(vectorize([args,fit_function]));
             this.FitStruct.(fit_name).anon_fit_fun=anon_fit_fun;
         end
         
         %Checks if the class is ready to perform a fit
         function bool=validateData(this)
             bool=~isempty(this.Data.x) && ~isempty(this.Data.y) && ...
                 length(this.Data.x)==length(this.Data.y) && ...
                 length(this.Data.x)>=this.n_params;
         end
     end
     
     %% Get and set functions
     methods
         %% Set functions
         
         %Set function for fit_name.
         function set.fit_name(this,fit_name)
             assert(ischar(fit_name),'The fit name must be a string');
             %Capitalizes the first letter
             fit_name=[upper(fit_name(1)),lower(fit_name(2:end))];
             %Checks it is a valid fit name
             ind=strcmpi(fit_name,this.valid_fit_names);%#ok<MCSUP>
             assert(any(ind),'%s is not a supported fit name',fit_name); 
             
             this.fit_name=this.valid_fit_names{ind}; %#ok<MCSUP>
         end
         
         %% Get functions for dependent variables
         
         %Generates the valid fit names
         function valid_fit_names=get.valid_fit_names(this)
             valid_fit_names=fieldnames(this.FitStruct);
         end
         
         %Grabs the correct fit function from FitStruct
         function fit_function=get.fit_function(this)
             fit_function=this.FitStruct.(this.fit_name).fit_function;
         end
         
         %Grabs the correct tex string from FitStruct
         function fit_tex=get.fit_tex(this)
             fit_tex=this.FitStruct.(this.fit_name).fit_tex;
         end
         
         %Grabs the correct fit parameters from FitStruct
         function fit_params=get.fit_params(this)
             fit_params=this.FitStruct.(this.fit_name).fit_params;
         end
         
         %Grabs the correct fit parameter names from FitStruct
         function fit_param_names=get.fit_param_names(this)
             fit_param_names=this.FitStruct.(this.fit_name).fit_param_names;
         end
         
         %Calculates the scaled initial parameters
         function scaled_params=get.scaled_params(this)
             scaled_params=this.scale_init.*this.init_params;
         end
         
         %Calculates the number of parameters in the fit function
         function n_params=get.n_params(this)
             n_params=length(this.fit_params);
         end
         
         %Generates a vector of x values for plotting
         function x_vec=get.x_vec(this)
             x_vec=linspace(min(this.Data.x),max(this.Data.x),1000);
         end
     end
 end
\ No newline at end of file
diff --git a/Test functions/MyBeta test/beta_cal_4.018MHz.txt b/Test functions/MyBeta test/beta_cal_4.018MHz.txt
deleted file mode 100644
index 64d34a6..0000000
--- a/Test functions/MyBeta test/beta_cal_4.018MHz.txt	
+++ /dev/null
@@ -1,10401 +0,0 @@
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-   2.4812308e+08   1.0951067e-16
-   2.4812500e+08   1.1057565e-16
-   2.4812692e+08   1.1088280e-16
-   2.4812885e+08   1.1175812e-16
-   2.4813077e+08   1.1246853e-16
-   2.4813269e+08   1.1135891e-16
-   2.4813462e+08   1.1011700e-16
-   2.4813654e+08   1.1017215e-16
-   2.4813846e+08   1.1062130e-16
-   2.4814038e+08   1.1041550e-16
-   2.4814231e+08   1.0978169e-16
-   2.4814423e+08   1.0980194e-16
-   2.4814615e+08   1.1020757e-16
-   2.4814808e+08   1.0976028e-16
-   2.4815000e+08   1.0897524e-16
-   2.4815192e+08   1.0832553e-16
-   2.4815385e+08   1.0784987e-16
-   2.4815577e+08   1.0734180e-16
-   2.4815769e+08   1.0652857e-16
-   2.4815962e+08   1.0562738e-16
-   2.4816154e+08   1.0550406e-16
-   2.4816346e+08   1.0559028e-16
-   2.4816538e+08   1.0470770e-16
-   2.4816731e+08   1.0360856e-16
-   2.4816923e+08   1.0416482e-16
-   2.4817115e+08   1.0400464e-16
-   2.4817308e+08   1.0430362e-16
-   2.4817500e+08   1.0427834e-16
-   2.4817692e+08   1.0363331e-16
-   2.4817885e+08   1.0324608e-16
-   2.4818077e+08   1.0382501e-16
-   2.4818269e+08   1.0360601e-16
-   2.4818462e+08   1.0241025e-16
-   2.4818654e+08   1.0225834e-16
-   2.4818846e+08   1.0228997e-16
-   2.4819038e+08   1.0212693e-16
-   2.4819231e+08   1.0197526e-16
-   2.4819423e+08   1.0154444e-16
-   2.4819615e+08   1.0071107e-16
-   2.4819808e+08   1.0078133e-16
-   2.4820000e+08   1.0037830e-16
-   2.4820192e+08   1.0056345e-16
-   2.4820385e+08   1.0032647e-16
-   2.4820577e+08   1.0045080e-16
-   2.4820769e+08   1.0017589e-16
-   2.4820962e+08   1.0035961e-16
-   2.4821154e+08   1.0032894e-16
-   2.4821346e+08   9.9957559e-17
-   2.4821538e+08   9.8580603e-17
-   2.4821731e+08   9.8122399e-17
-   2.4821923e+08   9.7867271e-17
-   2.4822115e+08   9.7576118e-17
-   2.4822308e+08   9.8194305e-17
-   2.4822500e+08   9.8161191e-17
-   2.4822692e+08   9.7765715e-17
-   2.4822885e+08   9.7853003e-17
-   2.4823077e+08   9.8142569e-17
-   2.4823269e+08   9.7542526e-17
-   2.4823462e+08   9.7647281e-17
-   2.4823654e+08   9.7793886e-17
-   2.4823846e+08   9.7075844e-17
-   2.4824038e+08   9.6509616e-17
-   2.4824231e+08   9.6660795e-17
-   2.4824423e+08   9.6653494e-17
-   2.4824615e+08   9.6187348e-17
-   2.4824808e+08   9.5750527e-17
-   2.4825000e+08   9.5703945e-17
-   2.4825192e+08   9.6027292e-17
-   2.4825385e+08   9.5779295e-17
-   2.4825577e+08   9.5608161e-17
-   2.4825769e+08   9.5785521e-17
-   2.4825962e+08   9.5525393e-17
-   2.4826154e+08   9.5342652e-17
-   2.4826346e+08   9.5061013e-17
-   2.4826538e+08   9.5649823e-17
-   2.4826731e+08   9.5806893e-17
-   2.4826923e+08   9.5894790e-17
-   2.4827115e+08   9.6074369e-17
-   2.4827308e+08   9.5643942e-17
-   2.4827500e+08   9.5477075e-17
-   2.4827692e+08   9.5271495e-17
-   2.4827885e+08   9.4992736e-17
-   2.4828077e+08   9.5191193e-17
-   2.4828269e+08   9.4392880e-17
-   2.4828462e+08   9.4209823e-17
-   2.4828654e+08   9.4501723e-17
-   2.4828846e+08   9.5449572e-17
-   2.4829038e+08   9.6338530e-17
-   2.4829231e+08   9.4968042e-17
-   2.4829423e+08   9.4059503e-17
-   2.4829615e+08   9.3826971e-17
-   2.4829808e+08   9.4566325e-17
-   2.4830000e+08   9.5345500e-17
-   2.4830192e+08   9.5309662e-17
-   2.4830385e+08   9.4106276e-17
-   2.4830577e+08   9.3508240e-17
-   2.4830769e+08   9.4225713e-17
-   2.4830962e+08   9.4997743e-17
-   2.4831154e+08   9.4815678e-17
-   2.4831346e+08   9.4704644e-17
-   2.4831538e+08   9.4418586e-17
-   2.4831731e+08   9.4672041e-17
-   2.4831923e+08   9.4751239e-17
-   2.4832115e+08   9.4364031e-17
-   2.4832308e+08   9.4417591e-17
-   2.4832500e+08   9.5287396e-17
-   2.4832692e+08   9.4886495e-17
-   2.4832885e+08   9.5246059e-17
-   2.4833077e+08   9.5081055e-17
-   2.4833269e+08   9.4488443e-17
-   2.4833462e+08   9.4390061e-17
-   2.4833654e+08   9.3826476e-17
-   2.4833846e+08   9.3967345e-17
-   2.4834038e+08   9.4706973e-17
-   2.4834231e+08   9.4607699e-17
-   2.4834423e+08   9.4375802e-17
-   2.4834615e+08   9.4606702e-17
-   2.4834808e+08   9.4903499e-17
-   2.4835000e+08   9.4493091e-17
-   2.4835192e+08   9.5229830e-17
-   2.4835385e+08   9.5812111e-17
-   2.4835577e+08   9.5555101e-17
-   2.4835769e+08   9.5490998e-17
-   2.4835962e+08   9.5352200e-17
-   2.4836154e+08   9.4968876e-17
-   2.4836346e+08   9.5017437e-17
-   2.4836538e+08   9.4383429e-17
-   2.4836731e+08   9.4444299e-17
-   2.4836923e+08   9.5158924e-17
-   2.4837115e+08   9.4878328e-17
-   2.4837308e+08   9.4729436e-17
-   2.4837500e+08   9.5304137e-17
-   2.4837692e+08   9.5598588e-17
-   2.4837885e+08   9.5078383e-17
-   2.4838077e+08   9.5649151e-17
-   2.4838269e+08   9.5730344e-17
-   2.4838462e+08   9.4715292e-17
-   2.4838654e+08   9.4389066e-17
-   2.4838846e+08   9.4744415e-17
-   2.4839038e+08   9.5020275e-17
-   2.4839231e+08   9.5471373e-17
-   2.4839423e+08   9.5864303e-17
-   2.4839615e+08   9.5931184e-17
-   2.4839808e+08   9.5454099e-17
-   2.4840000e+08   9.5462484e-17
-   2.4840192e+08   9.5430794e-17
-   2.4840385e+08   9.5090075e-17
-   2.4840577e+08   9.5549226e-17
-   2.4840769e+08   9.6169438e-17
-   2.4840962e+08   9.6367983e-17
-   2.4841154e+08   9.6549636e-17
-   2.4841346e+08   9.7349086e-17
-   2.4841538e+08   9.7745966e-17
-   2.4841731e+08   9.6762224e-17
-   2.4841923e+08   9.5673855e-17
-   2.4842115e+08   9.6125522e-17
-   2.4842308e+08   9.6176196e-17
-   2.4842500e+08   9.6631423e-17
-   2.4842692e+08   9.6743357e-17
-   2.4842885e+08   9.7828767e-17
-   2.4843077e+08   9.7538585e-17
-   2.4843269e+08   9.7449524e-17
-   2.4843462e+08   9.8409996e-17
-   2.4843654e+08   9.7768635e-17
-   2.4843846e+08   9.7823440e-17
-   2.4844038e+08   9.8219149e-17
-   2.4844231e+08   9.9537709e-17
-   2.4844423e+08   9.9494003e-17
-   2.4844615e+08   9.9176752e-17
-   2.4844808e+08   9.9546627e-17
-   2.4845000e+08   9.9880501e-17
-   2.4845192e+08   1.0004768e-16
-   2.4845385e+08   1.0080311e-16
-   2.4845577e+08   1.0077832e-16
-   2.4845769e+08   1.0061876e-16
-   2.4845962e+08   9.9948955e-17
-   2.4846154e+08   1.0052794e-16
-   2.4846346e+08   1.0211043e-16
-   2.4846538e+08   1.0229913e-16
-   2.4846731e+08   1.0213088e-16
-   2.4846923e+08   1.0288902e-16
-   2.4847115e+08   1.0223428e-16
-   2.4847308e+08   1.0161493e-16
-   2.4847500e+08   1.0279074e-16
-   2.4847692e+08   1.0307464e-16
-   2.4847885e+08   1.0389599e-16
-   2.4848077e+08   1.0437877e-16
-   2.4848269e+08   1.0419923e-16
-   2.4848462e+08   1.0455771e-16
-   2.4848654e+08   1.0508638e-16
-   2.4848846e+08   1.0561347e-16
-   2.4849038e+08   1.0659971e-16
-   2.4849231e+08   1.0828633e-16
-   2.4849423e+08   1.0834037e-16
-   2.4849615e+08   1.0683949e-16
-   2.4849808e+08   1.0621239e-16
-   2.4850000e+08   1.0614506e-16
diff --git a/Test functions/MyBeta test/testBeta.m b/Test functions/MyBeta test/testBeta.m
index cf70da9..e8ab741 100644
--- a/Test functions/MyBeta test/testBeta.m	
+++ b/Test functions/MyBeta test/testBeta.m	
@@ -1,7 +1,7 @@
-file_path='C:\Users\engelsen\Documents\MATLAB\beta_cal_4.018MHz.txt';
+file_path='M:\Measurement Campaigns\2016-09-27 A8CD15 g0\beta_cal_4.018MHz.txt';
 
 test=MyBeta;
 
 test.Data.loadTrace(file_path);
 %Should give beta_02=0.9046 and beta_01=0.8958
 % test.calcBeta;
\ No newline at end of file
diff --git a/Test functions/MyG test/1OP_779.1nm_1.1nW_0.1dBm.txt b/Test functions/MyG test/1OP_779.1nm_1.1nW_0.1dBm.txt
deleted file mode 100644
index 741e0b1..0000000
--- a/Test functions/MyG test/1OP_779.1nm_1.1nW_0.1dBm.txt	
+++ /dev/null
@@ -1,10402 +0,0 @@
-   Frequency (x)	       Power (y)
-4.0100000000e+06	6.8388306000e-16
-4.0100010000e+06	1.0236062000e-15
-4.0100019000e+06	9.1813588000e-16
-4.0100029000e+06	8.3125691000e-16
-4.0100038000e+06	1.0620028000e-15
-4.0100048000e+06	9.9294783000e-16
-4.0100058000e+06	1.0187375000e-15
-4.0100067000e+06	7.9846581000e-16
-4.0100077000e+06	6.1085133000e-16
-4.0100087000e+06	6.6958187000e-16
-4.0100096000e+06	7.9086318000e-16
-4.0100106000e+06	6.4294253000e-16
-4.0100115000e+06	5.5167138000e-16
-4.0100125000e+06	6.2572898000e-16
-4.0100135000e+06	7.2778334000e-16
-4.0100144000e+06	9.5165954000e-16
-4.0100154000e+06	1.1037382000e-15
-4.0100163000e+06	9.6688996000e-16
-4.0100173000e+06	7.8076384000e-16
-4.0100183000e+06	8.1461768000e-16
-4.0100192000e+06	8.6486273000e-16
-4.0100202000e+06	7.7215688000e-16
-4.0100212000e+06	1.0672095000e-15
-4.0100221000e+06	1.3175460000e-15
-4.0100231000e+06	1.0376959000e-15
-4.0100240000e+06	7.7483376000e-16
-4.0100250000e+06	6.9505261000e-16
-4.0100260000e+06	6.5643485000e-16
-4.0100269000e+06	7.1423345000e-16
-4.0100279000e+06	6.4186366000e-16
-4.0100288000e+06	8.6094869000e-16
-4.0100298000e+06	8.6435846000e-16
-4.0100308000e+06	7.6549834000e-16
-4.0100317000e+06	8.2993785000e-16
-4.0100327000e+06	8.7415899000e-16
-4.0100337000e+06	8.3793966000e-16
-4.0100346000e+06	8.4071461000e-16
-4.0100356000e+06	9.4098680000e-16
-4.0100365000e+06	1.0142126000e-15
-4.0100375000e+06	1.0025424000e-15
-4.0100385000e+06	6.2139546000e-16
-4.0100394000e+06	4.9994506000e-16
-4.0100404000e+06	7.1721837000e-16
-4.0100413000e+06	7.7295761000e-16
-4.0100423000e+06	7.5834282000e-16
-4.0100433000e+06	9.2916624000e-16
-4.0100442000e+06	8.9877183000e-16
-4.0100452000e+06	9.1989888000e-16
-4.0100462000e+06	9.3798633000e-16
-4.0100471000e+06	1.0441950000e-15
-4.0100481000e+06	1.0349251000e-15
-4.0100490000e+06	9.8729486000e-16
-4.0100500000e+06	7.5727514000e-16
-4.0100510000e+06	4.8932182000e-16
-4.0100519000e+06	5.5022539000e-16
-4.0100529000e+06	6.7173320000e-16
-4.0100538000e+06	5.2690539000e-16
-4.0100548000e+06	5.3138215000e-16
-4.0100558000e+06	7.5425070000e-16
-4.0100567000e+06	7.9477686000e-16
-4.0100577000e+06	8.5086567000e-16
-4.0100587000e+06	9.5373149000e-16
-4.0100596000e+06	1.1988895000e-15
-4.0100606000e+06	1.0855700000e-15
-4.0100615000e+06	7.5683094000e-16
-4.0100625000e+06	7.6618179000e-16
-4.0100635000e+06	1.0579285000e-15
-4.0100644000e+06	1.6131102000e-15
-4.0100654000e+06	1.2562112000e-15
-4.0100663000e+06	8.0535169000e-16
-4.0100673000e+06	8.0465308000e-16
-4.0100683000e+06	1.0782715000e-15
-4.0100692000e+06	9.0326077000e-16
-4.0100702000e+06	7.8559025000e-16
-4.0100712000e+06	9.5345341000e-16
-4.0100721000e+06	8.2001630000e-16
-4.0100731000e+06	7.4959313000e-16
-4.0100740000e+06	7.9623584000e-16
-4.0100750000e+06	8.6465005000e-16
-4.0100760000e+06	6.0380339000e-16
-4.0100769000e+06	4.7119485000e-16
-4.0100779000e+06	5.3783223000e-16
-4.0100788000e+06	6.2810564000e-16
-4.0100798000e+06	6.6723110000e-16
-4.0100808000e+06	1.0238688000e-15
-4.0100817000e+06	1.4505634000e-15
-4.0100827000e+06	1.1412124000e-15
-4.0100837000e+06	8.7564063000e-16
-4.0100846000e+06	7.9467913000e-16
-4.0100856000e+06	5.6832534000e-16
-4.0100865000e+06	6.0203881000e-16
-4.0100875000e+06	7.3139772000e-16
-4.0100885000e+06	7.6821421000e-16
-4.0100894000e+06	7.7568632000e-16
-4.0100904000e+06	6.6953718000e-16
-4.0100913000e+06	8.0033076000e-16
-4.0100923000e+06	7.6565166000e-16
-4.0100933000e+06	7.7827152000e-16
-4.0100942000e+06	8.7293439000e-16
-4.0100952000e+06	6.3912498000e-16
-4.0100962000e+06	4.7759851000e-16
-4.0100971000e+06	6.3117176000e-16
-4.0100981000e+06	7.9793857000e-16
-4.0100990000e+06	6.5528037000e-16
-4.0101000000e+06	7.1980089000e-16
-4.0101010000e+06	1.2156823000e-15
-4.0101019000e+06	1.0019016000e-15
-4.0101029000e+06	7.4689848000e-16
-4.0101038000e+06	6.2938248000e-16
-4.0101048000e+06	5.1093714000e-16
-4.0101058000e+06	7.8430783000e-16
-4.0101067000e+06	1.1874450000e-15
-4.0101077000e+06	1.2374664000e-15
-4.0101087000e+06	6.8078329000e-16
-4.0101096000e+06	6.5882628000e-16
-4.0101106000e+06	8.8767491000e-16
-4.0101115000e+06	1.0677083000e-15
-4.0101125000e+06	1.0668196000e-15
-4.0101135000e+06	8.0351738000e-16
-4.0101144000e+06	8.1503853000e-16
-4.0101154000e+06	9.2340584000e-16
-4.0101163000e+06	1.1132371000e-15
-4.0101173000e+06	1.1492599000e-15
-4.0101183000e+06	1.0248909000e-15
-4.0101192000e+06	8.7844784000e-16
-4.0101202000e+06	7.7161990000e-16
-4.0101212000e+06	6.2114881000e-16
-4.0101221000e+06	5.1035942000e-16
-4.0101231000e+06	6.5362711000e-16
-4.0101240000e+06	7.3437954000e-16
-4.0101250000e+06	6.6518533000e-16
-4.0101260000e+06	6.1820087000e-16
-4.0101269000e+06	6.2866200000e-16
-4.0101279000e+06	6.0163916000e-16
-4.0101288000e+06	6.7089353000e-16
-4.0101298000e+06	6.7591649000e-16
-4.0101308000e+06	6.5171921000e-16
-4.0101317000e+06	4.7431755000e-16
-4.0101327000e+06	4.2348222000e-16
-4.0101337000e+06	5.9562804000e-16
-4.0101346000e+06	7.0944152000e-16
-4.0101356000e+06	8.5833310000e-16
-4.0101365000e+06	8.7086354000e-16
-4.0101375000e+06	6.0284949000e-16
-4.0101385000e+06	5.1166290000e-16
-4.0101394000e+06	7.3403903000e-16
-4.0101404000e+06	8.1010235000e-16
-4.0101413000e+06	9.4579624000e-16
-4.0101423000e+06	1.3441651000e-15
-4.0101433000e+06	1.1122597000e-15
-4.0101442000e+06	8.4602753000e-16
-4.0101452000e+06	7.8790942000e-16
-4.0101462000e+06	7.9062703000e-16
-4.0101471000e+06	1.0666622000e-15
-4.0101481000e+06	1.0986890000e-15
-4.0101490000e+06	8.1072023000e-16
-4.0101500000e+06	8.3606051000e-16
-4.0101510000e+06	8.6843139000e-16
-4.0101519000e+06	6.9313824000e-16
-4.0101529000e+06	7.0570254000e-16
-4.0101538000e+06	7.2140606000e-16
-4.0101548000e+06	7.2976519000e-16
-4.0101558000e+06	8.7963073000e-16
-4.0101567000e+06	9.4413619000e-16
-4.0101577000e+06	9.0877097000e-16
-4.0101587000e+06	7.7471671000e-16
-4.0101596000e+06	8.1301932000e-16
-4.0101606000e+06	7.7372111000e-16
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