Antonino Ingargiola Clarify the 2-gaussians + bridge model  almost 8 years ago

Commit id: bcc662da1151a91b1123584cc33b9bd4c7360645

deletions | additions      

       

is taken from \textit{lmfit}~\cite{lmfit}, the underlying library used by  FRETBursts to perform the fits.  Models can be created from arbitrary functions.By default,  FRETBursts allows using includes  predefined (i.e. built-in)  models such as 1 to 3 Gaussian peaks or 2-Gaussian connected by a ``bridge''. flat plateau.  The latter is an empirical model that  can be used to more accurately fit the center values of two populations  when the peaks are connected by intermediate-FRET bursts  (for the analytical definition of this function see the documentation,   \href{http://fretbursts.readthedocs.io/en/latest/mfit.html#fretbursts.mfit.factory_two_gaussians}{link}).  Built-in models are created by calling a corresponding factory function  (names starting (whose names start  with \verb|mfit.factory_|) which initializes the parameters with values and constraints suitable for E and S histograms fits.  (see \textit{Factory Functions} documentation,  \href{http://fretbursts.readthedocs.org/en/latest/mfit.html#model-factory-functions}{link}).  As an example, we can  fit the E histogram of bursts in the \verb|ds| variable with two Gaussian peaks with the following command:  \begin{lstlisting}         

is taken from \textit{lmfit}~\cite{lmfit}, the underlying library used by  FRETBursts to perform the fits.  Models can be created from arbitrary functions.By default,  FRETBursts allows using includes  predefined (i.e. built-in)  models such as 1 to 3 Gaussian peaks or 2-Gaussian connected by a ``bridge''. flat plateau.  The latter is an empirical model that  can be used to more accurately fit the center values of two populations  when the peaks are connected by intermediate-FRET bursts  (for the analytical definition of this function see the documentation,   \href{http://fretbursts.readthedocs.io/en/latest/mfit.html#fretbursts.mfit.factory_two_gaussians}{link}).  Built-in models are created by calling a corresponding factory function  (names starting (whose names start  with \verb|mfit.factory_|) which initializes the parameters with values and constraints suitable for E and S histograms fits.  (see \textit{Factory Functions} documentation,  \href{http://fretbursts.readthedocs.org/en/latest/mfit.html#model-factory-functions}{link}).  As an example, we can  fit the E histogram of bursts in the \verb|ds| variable with two Gaussian peaks with the following command:  \begin{lstlisting}