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authorBlaise Thompson <blaise@untzag.com>2018-04-05 08:11:15 -0500
committerBlaise Thompson <blaise@untzag.com>2018-04-05 08:11:15 -0500
commit57cc38f603b5145185d67b36bb3138cdaa5b4cf9 (patch)
treeed11dc8bbbaec5454b953bc3baecb397a13dacbb
parent5c0cd9524716e91bfce3386cf13f29236c56568e (diff)
parentba8235a76c56f6fba6eb9919f3a64054f17fe79d (diff)
Merge branch 'jcw'
-rw-r--r--abstract.tex7
-rw-r--r--acquisition/chapter.tex4
-rw-r--r--dissertation.cls10
-rw-r--r--introduction/chapter.tex7
-rw-r--r--opa/chapter.tex2
-rw-r--r--processing/chapter.tex2
-rw-r--r--spectroscopy/chapter.tex3
7 files changed, 19 insertions, 16 deletions
diff --git a/abstract.tex b/abstract.tex
index dd08aa0..2c9b4ed 100644
--- a/abstract.tex
+++ b/abstract.tex
@@ -5,9 +5,10 @@
Coherent multidimensional spectroscopy (CMDS) encompasses a family of experimental strategies
involving the nonlinear interaction between electric fields and a material under investigation. %
-This approach has several unique capabilities: 1. resolving congested states [CITE KLUG], 2.
-extracting spectra that would otherwise be selection-rule disslowed [CITE BOYLE], 3. resolving
-fully coherent dyanmics [CITE], 4. measuring coupling [CITE], and 5. resolving ultrafast dynamics
+This approach has several unique capabilities: 1. resolving congested states [CITE KLUG and % JCW Zhao and Wright-JACS],
+2. extracting spectra that would otherwise be selection-rule disslowed [CITE BOYLE], 3. resolving
+fully coherent dyanmics [CITE % JCW Pakoulev and Wright],
+4. measuring coupling [CITE], and 5. resolving ultrafast dynamics
[CITE]. %
CMDS can be collected in the frequency or the time domain, and each approach has advantages and
diff --git a/acquisition/chapter.tex b/acquisition/chapter.tex
index 0d3d1c5..0436028 100644
--- a/acquisition/chapter.tex
+++ b/acquisition/chapter.tex
@@ -36,7 +36,7 @@ for w2 in w2_points:
set_d2(d2)
measure_signal()
\end{codefragment}
-In this simple example, there are 5 \python{w1} destinations, 7 \phon{w2} destinations, and 12
+In this simple example, there are 5 \python{w1} destinations, 7 \python{w2} destinations, and 12
\python{d2} destinations, so there are a total of $5\times7\times12=420$ pixels in the
three-dimensional scan. %
The acquisition software must set the hardware to each of these points and acquire data at each of
@@ -732,7 +732,7 @@ We can write the conjugate equation to \ref{eq:simple_exponential_decay}, asking
need to get a cerain signal level?'':
\begin{eqnarray}
\log{(S)} &=& -\frac{t}{\tau} \\
-t &=& -\taulog{(S)}.
+t &=& -\tau\log{(S)}.
\end{eqnarray}
So to step linearly in $t$, my step size has to go as $-\tau\log{(S)}$.
diff --git a/dissertation.cls b/dissertation.cls
index afb2dc9..aecaaad 100644
--- a/dissertation.cls
+++ b/dissertation.cls
@@ -118,17 +118,17 @@
colback=bg,
boxrule=1pt,
colframe=bg,
- arc=0,
+ arc=0pt,
shadow=false,
- use counter=equation,
+ new/use counter=equation,
boxsep=1ex, top=0pt, left=0pt, right=0pt, bottom=0pt,
comment={\hfill(\arabic{chapter}.\arabic{equation})},
listing outside comment,
- righthand width=2.5em,
+ righthand width=3em,
sidebyside gap=0pt,
minted language=#1,
- before skip =-0.5\baselinestretch,
- after skip=2\baselinestretch,
+ %before skip =-0.5\baselinestretch,
+ %after skip=2\baselinestretch,
}
\BeforeBeginEnvironment{codefragment}{\begin{singlespace}\stepcounter{equation}}
diff --git a/introduction/chapter.tex b/introduction/chapter.tex
index be4572d..b8877e6 100644
--- a/introduction/chapter.tex
+++ b/introduction/chapter.tex
@@ -52,7 +52,7 @@ flexable in the kinds of experiments that they can perform. %
This dissertation contains several projects undertaken to improve the reliability and accessibility
of MR-CMDS. %
While MR-CMDS will never be a single-shot experiment, there are many improvements that can improve
-data collection speed. %
+data collection speed. % JCW- NOT SO SURE IT CAN'T BE SINGLE SHOT
Necessary calibration, especially OPA calibration, can be made robust and fully automatic. %
Common artifacts can be addressed through relatively simple modifications in hardware and
software. %
@@ -64,11 +64,12 @@ frequency-domain coherent multidimensional spectroscopy. %
Due to its diversity and dimensionality, MR-CMDS data is challenging to process and represent. %
The data processing tools that a scientist develops to process one experiment may not work when she
attempts to process an experiment where different experimental variables are explored. %
-Historically, this has meant that MR-CMDS practitioners have used custom, one-off data processing
+Historically, this % JCW- "THIS" SHOULDN'T BE A NOUN STANDING ALONE AS THE SUBJECT OF THE SENTENCE
+has meant that MR-CMDS practitioners have used custom, one-off data processing
workflows that need to be changed for each particular experiment. %
These changes take time to implement, and can become stumbling blocks or opportunities for
error. %
-Even worse, the challenge of designing a new processing workflow may make dissuade scientist from
+Even worse, the challenge of designing a new processing workflow may dissuade A scientist from
creatively modifying their experimental strategy, or comparing their data with data taken from
another group. %
This limit to creativity and flexibility defeats one of the main advantages of the MR-CMDS
diff --git a/opa/chapter.tex b/opa/chapter.tex
index 75459b5..a57847a 100644
--- a/opa/chapter.tex
+++ b/opa/chapter.tex
@@ -129,7 +129,7 @@ are shown. %
\end{figure}
\begin{figure}
- \includegraphics[width=\textwidth]{opa/c2}}
+ \includegraphics[width=\textwidth]{opa/c2}
\caption{
CAPTION TODO
}
diff --git a/processing/chapter.tex b/processing/chapter.tex
index 81886c2..baca84c 100644
--- a/processing/chapter.tex
+++ b/processing/chapter.tex
@@ -128,7 +128,7 @@ It contains a central data ``container'' that is capable of storing all of the i
each multidimensional (or one-dimensional) spectra: the \python{Data} class. %
It also defines a \python{Collection} class that contains data objects, collection
objects, and other pieces of metadata in a hierarchical structure. %
-Let's first discuss \mitinline{python}{Data}.
+Let's first discuss \mintinline{python}{Data}.
All spectra are stored within WrightTools as multidimensional arrays. %
Arrays are containers that store many instances of the same data type, typically numerical
diff --git a/spectroscopy/chapter.tex b/spectroscopy/chapter.tex
index 3bde7b4..030edd5 100644
--- a/spectroscopy/chapter.tex
+++ b/spectroscopy/chapter.tex
@@ -67,6 +67,7 @@ For simplicity, we consider a single transition dipole, $\mu$. %
The Hamiltonian which controls the coupling of or simple system to the electric field described in
...:
+% jcw- ISN'T IT JUST MU DOT E WHERE E IS A VECTOR THAT IS TIME DEPENDENT, NOT A TIME DERIVATIVE
\begin{equation}
H = H_{\circ} - \mu \dot E
\end{equation}
@@ -90,7 +91,7 @@ In Dirac notation \cite{DiracPaulAdrienMaurice1939a}., an observable (such as $\
\end{equation}
The complex wavefunction is called a \emph{ket}, represented $|b>$. %
The complex conjugate is called a \emph{bra}, represented $<a|$. %
-When expanded,
+When expanded, % JCW- MU IS NOT THE OPERATOR. THE OPERATOR IS THE TIME DEPENDENT HAMILTONIAN. MU MULIPLIES ca and cb
\begin{equation}
\mu(t) = c_a^2\mu_a + c_b^2\mu_b + \left< c_aa \left| \hat{mu} \right| c_bb \right> +
\left<c_bb \left| \hat{mu} \right| c_aa \right>