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EIC
benchmarks
physics_benchmarks
Merge requests
!130
TCS benchmark and FF status plot
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Merged
TCS benchmark and FF status plot
tcs-benchmark
into
master
Overview
0
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6
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0
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4
Merged
TCS benchmark and FF status plot
Wouter Deconinck
requested to merge
tcs-benchmark
into
master
Nov 27, 2021
Overview
0
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6
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0
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4
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master
version 5
7b701615
Nov 29, 2021
version 4
c56233c0
Nov 29, 2021
version 3
6cb31cdc
Nov 29, 2021
version 2
17ed2c30
Nov 28, 2021
version 1
c9671995
Nov 27, 2021
master (base)
and
version 5
latest version
e7d38de7
6 commits,
Nov 29, 2021
version 5
7b701615
5 commits,
Nov 29, 2021
version 4
c56233c0
4 commits,
Nov 29, 2021
version 3
6cb31cdc
3 commits,
Nov 29, 2021
version 2
17ed2c30
2 commits,
Nov 28, 2021
version 1
c9671995
1 commit,
Nov 27, 2021
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benchmarks/tcs/analysis/tcs_tests.cxx
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#include
<cmath>
#include
<iostream>
#include
<string>
#include
<vector>
#include
"ROOT/RDataFrame.hxx"
#include
"Math/Vector4D.h"
#include
"TCanvas.h"
#include
<nlohmann/json.hpp>
using
json
=
nlohmann
::
json
;
R__LOAD_LIBRARY
(
libfmt
.
so
)
#include
"fmt/core.h"
#include
"fmt/color.h"
R__LOAD_LIBRARY
(
libeicd
.
so
)
R__LOAD_LIBRARY
(
libDD4pod
.
so
)
#include
"eicd/InclusiveKinematicsCollection.h"
#include
"eicd/ReconstructedParticleCollection.h"
void
tcs_tests
(
const
char
*
fname
=
"rec_tcs.root"
){
fmt
::
print
(
fmt
::
emphasis
::
bold
|
fg
(
fmt
::
color
::
forest_green
),
"Running TCS analysis...
\n
"
);
// Run this in multi-threaded mode if desired
ROOT
::
EnableImplicitMT
();
ROOT
::
RDataFrame
df
(
"events"
,
fname
);
auto
df0
=
df
.
Define
(
"n_parts"
,
"ReconstructedParticles.size()"
)
.
Define
(
"isQ2gt1"
,
"InclusiveKinematicsTruth.Q2 > 1.0"
)
.
Define
(
"n_Q2gt1"
,
"isQ2gt1.size()"
);
auto
h_n_parts
=
df0
.
Histo1D
({
"h_n_parts"
,
"; h_n_parts n"
,
10
,
0
,
10
},
"n_parts"
);
auto
h_Q2
=
df0
.
Histo1D
({
"h_Q2"
,
"; Q^{2} [GeV^{2}/c^{2}]"
,
100
,
0
,
30
},
"InclusiveKinematicsTruth.Q2"
);
auto
h_ff_status
=
df0
.
Histo1D
({
"h_ff_status"
,
"; FF status"
,
10
,
-
0.5
,
9.5
},
"SmearedFarForwardParticles.status"
);
auto
n_Q2gt1
=
df0
.
Mean
(
"n_Q2gt1"
);
auto
n_parts
=
df0
.
Mean
(
"n_parts"
);
// ---------------------------
// Do evaluation
auto
c
=
new
TCanvas
();
h_Q2
->
DrawCopy
();
c
->
SaveAs
(
"results/tcs/Q2.png"
);
c
->
SaveAs
(
"results/tcs/Q2.pdf"
);
fmt
::
print
(
"{} TCS events Q2>1
\n
"
,
*
n_Q2gt1
);
fmt
::
print
(
"{} tracks per event
\n
"
,
*
n_parts
);
c
=
new
TCanvas
();
h_n_parts
->
DrawCopy
();
c
->
SaveAs
(
"results/tcs/n_parts.png"
);
c
->
SaveAs
(
"results/tcs/n_parts.pdf"
);
c
=
new
TCanvas
();
h_ff_status
->
DrawCopy
();
c
->
SaveAs
(
"results/tcs/ff_status.png"
);
c
->
SaveAs
(
"results/tcs/ff_status.pdf"
);
}
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