From a1a9bb2f45a1efd8fa8169c45bbc4fb7421f5489 Mon Sep 17 00:00:00 2001 From: Blaise Thompson 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/chapter.tex') 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] -- cgit v1.2.3