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authorBlaise Thompson <blaise@untzag.com>2018-04-04 11:06:13 -0500
committerBlaise Thompson <blaise@untzag.com>2018-04-04 11:06:13 -0500
commitdc15adadcb2b7560d982c3aee0ef319b50d9d362 (patch)
tree28432069e55a967f8c7be19f4b5393d8560c7dae /acquisition
parent272de2372369fe74fa7f4d281e76a52454a7d34a (diff)
remove gls
Diffstat (limited to 'acquisition')
-rw-r--r--acquisition/chapter.tex6
1 files changed, 3 insertions, 3 deletions
diff --git a/acquisition/chapter.tex b/acquisition/chapter.tex
index fe3c4da..0d3d1c5 100644
--- a/acquisition/chapter.tex
+++ b/acquisition/chapter.tex
@@ -65,7 +65,7 @@ It is open source, developed on GitHub. % TODO: cite PyCMDS on github
PyCMDS is used to drive both of the MR-CMDS instruments maintained by the Wright Group: the ``fs
table'', focused on semiconductor photophysics, and the ``ps table'', focused on molecular
systems. %
-In the Wright Group, \gls{PyCMDS} replaces the old acquisition softwares `ps control', ritten by
+In the Wright Group, PyCMDS replaces the old acquisition softwares `ps control', ritten by
Kent Meyer and `Control for Lots of Research in Spectroscopy' written by Schuyler Kain.
When PyCMDS starts up, the GUI is constructed out of modules depending on which hardware and
@@ -659,10 +659,10 @@ central conceit of PyCMDS. %
\subsection{Ideal Axis Positions} \label{acq:sec:ideal_axis_positions} % -------------------------
Frequency domain multidimensional spectroscopy is a time-intensive process. %
-A typical \gls{pixel} takes between one-half second and three seconds to acquire. %
+A typical pixel takes between one-half second and three seconds to acquire. %
Depending on the exact hardware being scanned and signal being detected, this time may be mostly
due to hardware motion or signal collection. %
-Due to the \gls{curse of dimensionality}, a typical three-dimensional CMDS experiment contains
+Due to the curse of dimensionality, a typical three-dimensional CMDS experiment contains
roughly 100,000 pixels. %
CMDS hardware is transiently-reliable, so speeding up experiments is a crucial component of
unlocking ever larger dimensionalities and higher resolutions. %