TrackLooper

Quick Start

Setting up LSTPerformanceWeb (only for lnx7188)

For lnx7188 this needs to be done once

cd /cdat/tem/${USER}/
git clone git@github.com:SegmentLinking/LSTPerformanceWeb.git

Running the code

git clone --recursive git@github.com:SegmentLinking/TrackLooper.git
cd TrackLooper/
source setup.sh
# source setup_cgpu.sh # if you are on cgpu-1
sdl_make_tracklooper -mc
sdl -i PU200 -o LSTNtuple.root
createPerfNumDenHists -i LSTNtuple.root -o LSTNumDen.root
lst_plot_performance.py LSTNumDen.root -t "myTag"
# python3 efficiency/python/lst_plot_performance.py LSTNumDen.root -t "myTag" # if you are on cgpu-1

The above can be even simplified

git clone --recursive git@github.com:SegmentLinking/TrackLooper.git
cd TrackLooper/
source setup.sh
# source setup_cgpu.sh # if you are on cgpu-1
sdl_run -f -mc -s PU200 -n -1 -t myTag

Instructions

Log on to phi3 or lnx7188 Go to your working directory

mkdir /go/to/your/working/directory
cd /go/to/your/working/directory

Clone the repository

git clone git@github.com:SegmentLinking/TrackLooper.git
cd TrackLooper/

Once every new shell, source the setup script to initilaize the enviornment.

source setup.sh

Compile the code with option flags

sdl_make_tracklooper -mc
-c: run with the cmssw caching allocator
-h: show help screen with all options

Run the code

sdl -n <nevents> -v <verbose> -w <writeout> -s <streams> -i <dataset> -o <output>

-i: PU200; muonGun, etc
-n: number of events
-v: 0-no printout; 1- timing printout only; 2- multiplicity printout
-s: number of streams/events in flight
-w: 0- no writout; 1- minimum writeout; 2- full ntuple writeout
-o: provide an output root file name (e.g. LSTNtuple.root)

Plotting numerators and denominators of performance plots

createPerfNumDenHists -i <input> -o <output> [-g <pdgids> -n <nevents>]

-i: Path to LSTNtuple.root
-o: provide an output root file name (e.g. num_den_hist.root)
-n: (optional) number of events
-g: (optional) comma separated pdgids to add more efficiency plots with different sim particle slices

Plotting performance plots

lst_plot_performance.py num_den_hist.root -t "mywork"

When running on cgpu-1 remember to specify python3 as there is no python. The shebang on the lst_plot_performance.py is not updated as lnx7188 works with python2....

python3 efficiency/python/lst_plot_performance.py num_den_hist.root -t "mywork" # If running on cgpu-1

Comparing two different runs

lst_plot_performance.py \
    num_den_hist_1.root \     # Reference
    num_den_hist_2.root \     # New work
    -l BaseLine,MyNewWork \   # Labeling
    -t "mywork"

CMSSW Integration

This is the a complete set of instruction on how the TrackLooper code can be linked as an external tool in CMSSW:

Build TrackLooper

git clone git@github.com:SegmentLinking/TrackLooper.git
cd TrackLooper/
source setup.sh
sdl_make_tracklooper -m8xc2
cd ..

Set up TrackLooper as an external

export SCRAM_ARCH=slc7_amd64_gcc10

go the one folder above the TrackLooper

cmsrel CMSSW_13_0_0_pre4
cd CMSSW_13_0_0_pre4/src
cmsenv
git cms-init
git remote add lst-cmssw git@github.com:SegmentLinking/cmssw.git
git fetch lst-cmssw CMSSW_13_0_0_pre4_LST_X
git cms-addpkg RecoTracker
git checkout CMSSW_13_0_0_pre4_LST_X
git cms-addpkg Configuration
cat <<EOF >lst.xml
<tool name="lst" version="1.0">
  <client>
    <environment name="LSTBASE" default="$PWD/../../TrackLooper"/>
    <environment name="LIBDIR" default="\$LSTBASE/SDL"/>
    <environment name="INCLUDE" default="\$LSTBASE"/>
  </client>
  <runtime name="LST_BASE" value="\$LSTBASE"/>
  <lib name="sdl"/>
</tool>
EOF
compile the TrackLooper repository if you haven’t
scram setup lst.xml
cmsenv
git cms-checkdeps -a
scram b -j 12
cd RecoTracker/LST/test/
cmsRun LSTAlpakaTester.py

Including the line

<use name="lst"/>

in the relevant package BuildFile.xml allows for including our headers in the code of that package.