From a1a9bb2f45a1efd8fa8169c45bbc4fb7421f5489 Mon Sep 17 00:00:00 2001
From: Blaise Thompson <blaise@untzag.com>
Date: Thu, 12 Apr 2018 10:48:06 -0500
Subject: 2018-04-12 10:48

---
 opa/chapter.tex | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

(limited to 'opa')

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]
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