Updates to presentation and adds some missing files

docs/common/matching_types.svg

@@ -0,0 +1,438 @@
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docs/presentations/2018_06_20/main.tex

@@ -61,10 +61,10 @@
         \item Define and demonstrate performance of a GSF-Track ``Fake Rate'' for:
           \begin{itemize}
             \item Current offline (Legacy HLT) seeding method with default offline settings
-            \item New HLT seeding method with HLT settings\footnotemark%
-            \item New HLT seeding method with optimized-for-offline (aka \texttt{wide}) settings
+            \item New seeding method with HLT settings\footnotemark%
+            \item New seeding method with optimized-for-offline (aka \texttt{wide}) settings
           \end{itemize}
-        \item Show efficiency for prompt prompt electrons specifically
+        \item Show efficiency for prompt electrons specifically
       \end{itemize}
   \end{itemize}
   \footnotetext[1]{\tiny Note: In previous talks I've called this one \texttt{narrow}.}
@@ -138,8 +138,8 @@
     \begin{column}{0.5\textwidth}
       \begin{itemize}
         \item Figure shows GSF Tracking efficiency vs kinematic variables of the electron \texttt{SimTrack}
-        \item Efficiency is more or less the same for both DY and $t\bar{t}$ environments and for both algorithms and working points.
-        \item Largest (statistically significant) differences appear at low $p_T$ and in the barrel/endcap transition region.
+        \item Efficiency is comparable for both DY and $t\bar{t}$ environments and for both algorithms and working points.
+        \item Largest differences appear at low $p_T$ and in the barrel/endcap transition region.
       \end{itemize}
     \end{column}
     \begin{column}{0.5\textwidth}
@@ -158,8 +158,7 @@
       \begin{itemize}
         \item Figure shows GSF Tracking purity vs kinematic variables of the \texttt{GSFTrack}
         \item Clearly purity is affected by the higher fake environment in the $t\bar{t}$ sample.
-        \item Note how the \texttt{narrow} working point of the new seeding (green) has significantly better purity than the \texttt{wide} working point or the old seeding.
-        \item Purity loss at high $p_T$ is a feature of the shared-hits matching between \texttt{SimTracks} and \texttt{GSFTracks}.
+        \item Note how the \texttt{default} working point of the new seeding (red/pink) has significantly better purity than the \texttt{} working point or the old seeding.
       \end{itemize}
     \end{column}
     \begin{column}{0.5\textwidth}
@@ -196,6 +195,7 @@
       \begin{itemize}
         \item The fraction of prompt electrons that match a GSF-Track
         \item Biggest improvements, again, happen at low $p_T$ and in the barrel/endcap transition region
+        \item Note the change in the first bin relative to the overall efficiency (Slide 5). Large non-prompt contribution at low $p_T$.
       \end{itemize}
     \end{column}
     \begin{column}{0.6\textwidth}
@@ -254,8 +254,8 @@
       \end{itemize}
     \item Unless there are objections, propose to move forward with implementing the new algorithm as the default in the next available CMSSW release.
   \end{itemize}
-  \blfootnote{\tiny Analysis and ploting code is available at \url{}}
-  \blfootnote{\tiny Additional plots are available at \url{}}
+  \blfootnote{\tiny Analysis and ploting code is available at \url{https://git.fangmeier.tech/caleb/EGamma\_ElectronTrackingValidation}}
+  \blfootnote{\tiny Additional plots are available at \url{https://eg.fangmeier.tech/seeding\_studies\_2018\_06\_20\_17/hists.html}}
 \end{frame}
 
 \appendix

docs/reports/report_2018_05_16.md

@@ -0,0 +1,35 @@
+Authors: Caleb Fangmeier
+Date: May 16, 2018
+## Fake Rate Investigation
+
+Note: I have adopted a more intuitive naming scheme for the seeding working points.
+
+  - `old-default`: Just the old pair-match seeding with default settings
+  - `new-default`: The new triplet-match seeding with the HLT settings
+  - `new-wide`: The new triplet-match seeding with the double-size window settings
+
+We define a "Full Fake Rate" as:
+
+$ \frac{N_{fake}}{N_{scl}} $
+
+Where, $N_{scl}$ is the number of superclusters in the sample with $HOE<0.15$ and resulting in at least one gsf-track, and $N_{fake}$ is the number of denominator superclusters resulting in only non-truth-matched GSF-tracks.
+
+fig::full_fake_rate_all|\"Full Fake Rate\" as a function of supercluster $p_T, \eta, \phi$.
+
+To help understand the above plots, I'll also include the numerator and denominator distributions.
+
+<div class="row">
+<div class="col-md-6 row_fig">
+fig::full_fake_rate_all_num|\"Full Fake Rate\" numerator
+</div>
+<div class="col-md-6 row_fig">
+fig::full_fake_rate_all_den|\"Full Fake Rate\" denominator
+</div>
+</div>
+
+A few observations:
+
+  1. The $p_T$ distribution of the $Z\rightarrow ee$ events has a clear peak around 60GeV which seems about right for electrons coming from $Z$s.
+  2. The fake rate in $t\bar{t}$ is roughly 4x higher than in $Z\rightarrow ee$ events. Looking at the num/den distributions, the difference seems to arise from both the numerator being larger (ie, more superclusers with no truth-matched gsf-tracks) *and* fewer small-HOE super-clusters overall. (both samples consist of about 100 thousand events)
+  3. Looking at the denominator, the number of super-clusters seems to drop quite dramatically going from `tt-old-default` to `tt-new-default`. At first glance, The reason for this is just that the denominator requires that the super-cluster result in at least one gsf-track, and the more restrictive `new-default` setting results in fewer superclusters that fulfill that requirement. However, the `new-wide` setting ends up being comparable to `old-default`.
+  4. Overall, it looks like this these plots confirm what other measurements (ie efficiency, purity) have shown: which is that the performance of the `new-wide` setting is comparable to the `old-default` setting.

docs/reports/report_2018_05_18.md

@@ -0,0 +1,31 @@
+authors: Caleb Fangmeier
+date: May 16, 2018
+slides: True
+class: center, middle
+
+# Title
+
+---
+
+# Agenda
+
+1. Introduction
+2. Deep-dive
+3. ...
+
+---
+
+# Introduction
+
+$ x = \sqrt{y} $
+
+
+.left.half-fig[
+  fig::full_fake_rate_all
+]
+
+.right[
+  .half-fig[fig::full_fake_rate_all]
+
+  $ x = \sqrt{y} $
+]