horses, and must only be made at decisive moments.}{Alfred North
Whitehead\citep{whitehead11}}
-Velocity clamp experiments have been carried out since the initial
-work by \citet{rief97a}, so I was somewhat surprised that there
-weren't already community-driven packages for carrying out and
-analyzing these
-experiments\citep{claerbout92,buckheit95,schwab00,vandewalle09}. When
-I joined Prof.~Yang's lab, we were using experiment control software
-written in \citetalias{labview} and analysis software written in
-\citetalias{wavemetrics-igor}, both developed in-house. The existing
-software was not designed to control sample temperature or for easy
-extension, so I proceeded to write my own control and analysis stack
-to add this capabilities.
-
-For those of you thinking, ``Why is he calling this thing a stack?'',
-software is rarely developed as a single monolithic program. Instead,
-developers write a software as a series of modular components, with
-each layer in the stack using lower level features from the layers
-below it to supply higher level features to the layers above it
-(\cref{fig:pyafm:stack}). New high-level programs will contain logic
-for the new idea (perform velocity-clamp unfolding experiments) and
-leverage pre-existing packages for all the old ideas that you need to
-get the job done (open a file, Fourier transform an array, \ldots). A
-well structured suite of software breaks the task at hand up into many
-sub-components, with a distinct package handling each component.
-
-\citet{whitehead11} introduces his claim about civilization and
-subconscious operations to motivate the utility of symbolism in
-subconcious reasoning. By encapsulating already established ideas in
-a compact form, we can focus on the crux of an issue
-(\cref{fig:unfold-protein:unfolder}) without being distracted by the
-peripheral boilerplate (\cref{fig:labview}).
-
-In this chapter, I will discuss the earlier frameworks and abortive
-attempts that lead me towards my current architecture
-(\cref{sec:aio-frameworks,sec:pyafm:stack}). I will also discuss some
-auxiliary packages I developed to support the main stack
-(\cref{sec:pyafm:auxiliary}). I'll wrap up by comparing my stack with
-Prof.~Yang's earlier framework and summarizing lessons I've learned
-along the way (\cref{sec:pyafm:discussion,sec:pyafm:conclusions}).
-
+\input{pyafm/overview}
\input{pyafm/frameworks}
\input{pyafm/stack}
\input{pyafm/auxiliary}
--- /dev/null
+Velocity clamp experiments have been carried out since the initial
+work by \citet{rief97a}, so I was somewhat surprised that there
+weren't already community-driven packages for carrying out and
+analyzing these
+experiments\citep{claerbout92,buckheit95,schwab00,vandewalle09}. When
+I joined Prof.~Yang's lab, we were using experiment control software
+written in \citetalias{labview} and analysis software written in
+\citetalias{wavemetrics-igor}, both developed in-house. The existing
+software was not designed to control sample temperature or for easy
+extension, so I proceeded to write my own control and analysis stack
+to add this capabilities.
+
+For those of you thinking, ``Why is he calling this thing a stack?'',
+software is rarely developed as a single monolithic program. Instead,
+developers write a software as a series of modular components, with
+each layer in the stack using lower level features from the layers
+below it to supply higher level features to the layers above it
+(\cref{fig:pyafm:stack}). New high-level programs will contain logic
+for the new idea (perform velocity-clamp unfolding experiments) and
+leverage pre-existing packages for all the old ideas that you need to
+get the job done (open a file, Fourier transform an array, \ldots). A
+well structured suite of software breaks the task at hand up into many
+sub-components, with a distinct package handling each component.
+
+\citet{whitehead11} introduces his claim about civilization and
+subconscious operations to motivate the utility of symbolism in
+subconcious reasoning. By encapsulating already established ideas in
+a compact form, we can focus on the crux of an issue
+(\cref{fig:unfold-protein:unfolder}) without being distracted by the
+peripheral boilerplate (\cref{fig:labview}).
+
+In this chapter, I will discuss the earlier frameworks and abortive
+attempts that lead me towards my current architecture
+(\cref{sec:aio-frameworks,sec:pyafm:stack}). I will also discuss some
+auxiliary packages I developed to support the main stack
+(\cref{sec:pyafm:auxiliary}). I'll wrap up by comparing my stack with
+Prof.~Yang's earlier framework and summarizing lessons I've learned
+along the way (\cref{sec:pyafm:discussion,sec:pyafm:conclusions}).