diff options
Diffstat (limited to 'opa')
-rw-r--r-- | opa/chapter.tex | 13 |
1 files changed, 9 insertions, 4 deletions
diff --git a/opa/chapter.tex b/opa/chapter.tex index 2918e94..7a1d9e6 100644 --- a/opa/chapter.tex +++ b/opa/chapter.tex @@ -1,7 +1,4 @@ -% TODO: DONALDSON HAS AUTOMATED OPA TUNING DOWN?
-
-\chapter{A robust, fully automated algorithm to collect high quality OPA tuning
- curves} \label{cha:opa}
+\chapter{A robust, automated strategy to collect high quality OPA tuning curves} \label{cha:opa}
\begin{dquote}
Principle design features of the new EVV 2DIR optical delivery system include the following:
@@ -29,6 +26,8 @@ OPA tuning range into the visible, near-infrared, and mid-infrared. % OPAs are very sensitive to changes in upstream lasers and lab conditions, so OPA tuning is
regularly required. %
Manual OPA tuning can easily take a full day. %
+Furthermore, manual tuning typically results in inferior tuning curves, since it is difficult to
+consider all available information simultaneously. %
Automated OPA tuning makes OPA upkeep easier, faster and more reproducible, facilitating frequency
domain experiments. %
The major challenges in automated OPA tuning are:
@@ -38,6 +37,12 @@ The major challenges in automated OPA tuning are: \item Optimization metrics are not necessarily separable along motor dimensions.
\end{enumerate}
+In this chapter I describe my strategy for automatically collecting high resolution OPA tuning
+curves. %
+While I have strategies for all four kinds of OPAs used in the Wright Group, I focus on the
+femtosecond TOPAS-C models because they are by far the most challenging model to calibrate. %
+
+\clearpage
\section{TOPAS-C} % ==============================================================================
[INTRODUCTION TO THE TOPAS-C]
|