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![Page 1: A Luminosity Detector for the Future Linear Collider Ronen Ingbir Prague Workshop HEP Tel Aviv University.](https://reader035.fdocuments.net/reader035/viewer/2022062409/5697bfee1a28abf838cb9b89/html5/thumbnails/1.jpg)
A Luminosity Detector for the Future Linear Collider
A LuminosityDetector for the Future Linear
ColliderRonen Ingbir
Prague Workshop
HEP Tel Aviv University
![Page 2: A Luminosity Detector for the Future Linear Collider Ronen Ingbir Prague Workshop HEP Tel Aviv University.](https://reader035.fdocuments.net/reader035/viewer/2022062409/5697bfee1a28abf838cb9b89/html5/thumbnails/2.jpg)
Approach : Going back to ‘pure electron’
simulation
A. Analyses of detector + background MCB. Cross checks in Geant 4C. Energy and Angular resolution improvement. Tel Aviv University High Energy Physics Experimental Group
Next Steps..…
BhabhaBeamstrahlungBeam spread
R&D progress report
HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
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Detector Design
0.34 cm Tungsten
0.31 cm Silicon
Cell Size1.3cm*2cm>1.3cm*6cm<
~1 Radiation length
~1 Radius Moliere
HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
15 cylinders * 24 sectors * 30 rings = 10800 cells
RL
8 cm
28 cm
6.10 m
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Reconstruction Algorithm
)]}ln([,0max{T
ii E
EconstW
i
ii
E
EXX
i
ii
W
WXX
Events Num.
)(radgenrec
)(radgenrec
)(radgen
We explored two reconstruction algorithms:
The log. weight fun. was designed to reduce steps in a granulated detector :
1. Selection of significant cells.
2. Log. smoothing.
Log. weight.
E weight.
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Logarithmic Constant
Constant value
Constant value
)]}ln([,0max{T
ii E
EconstW
After selecting:
We explored a more systematic approach.
The first step is finding the best constant to use under two criteria:
1. Best resolution.
2. Minimum bias.
400 GeV
))(_( radmean genrec
))(( rad
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Energy dependent constant
)]}ln()([,0max{T
ibeami E
EEconstW
The goal is to find a global weight function.
Is the the log. weight constant really a constant ?
Constant value
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Shower reconstruction
Nu
m. o
f C
ells
Nu
m. o
f Se
ctor
s
Nu
m. o
f C
ylin
de r
s
En
ergy
por
tion
(%
)
En>90%
)(rad )(rad
)(rad)(rad
What happens when we select the best log. weight constant ?
Shower size
Log. Weight selection
Most of the information is in the selected cells.
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Detector optimization
))(( rad
Num. rings
24 sectors 48 sectors
0.63 0.46
0.00013 0.00013))(( rad
)(deg)(
Comparing new results :
Improvement without changing the detectors granularity.
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Detector optimization
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Beam Energy (GeV)
))(( rad
Angular resolution
Results using ‘pure electron’ simulation
Can we maintain same detector properties using a more ‘real’ MC ?
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Azimuthal resolution
)]}ln([,0max{T
ii E
EconstW
Events Num.E weight.
Log. weight.
(deg)genrec
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Log. constant
Constant value
Constant value
)(deg)(
)(deg)_( genrecmean
400 GeVBest constant value for is bigger then the one.
Meaning: in this case best results are obtained by using ‘all the detector information’.
Fixed non zero bias
under investigation.
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Log. weight Const function
100%
33%)]}ln()([,0max{
T
ibeami E
EEconstW
)(deg)(
)(deg)(
)(rad
)(rad
E weight.
Fixed constant
dependent const
Different cell size requires different weight function.
Low angle small cell size
smaller constant value
(like in rec)
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Nu
m. o
f C
ells
Nu
m. o
f Se
ctor
s
Nu
m. o
f C
ylin
de r
s
En
ergy
por
tion
(%
)
En>98%
Shower reconstruction
)(rad )(rad
)(rad)(rad
What happens when we select the best log. weight constant ?
Shower size
Log. Weight selection
Cell size determines selection mechanism
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Azimuthal resolution
)(deg)(
Beam Energy (GeV)
Results using ‘pure electron’ simulation
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Energy resolution
Beam Energy (GeV)
EE /EE 29.0
Energy Resolution )( GeV
)(rad
Acceptance cut
Results using ‘pure electron’ simulation
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Bhabha scatteringBHWIDE MC Simulation
Barbie -Geant 3.21 which includes detector description for Tesla detector
The MC of physical process is the output of bhabha scattering
The Barbie program was given to us by Leszek Suszycki Electron energy (GeV)
)(rad
Bhabha
Pure electrons
Pure electrons
Bhabha
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
250GeV
26 mrad
Events selection - old approach
Gaussian fit and energy
calibration based tail cut
Acceptance cut was based
on the leakage
rec
Detector signal
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
33 mrad
EE %40
New Acceptance
More systematic analyses results with new acceptance cut and improved resolution.
Energy Resolution )( GeV
)(rad
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Energy balance
RL
Simulation distribution
Distribution after acceptance and energy balance event selection
Right side detector signal
Lef
t si
de
det
ecto
r si
gnal
Right signal - Left signal
New approach in this study :
Selecting events using information from both sides of the detector.
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Angular-azimuthal symmetry
New approach :
Selecting events which are back to back.
The band cut must be wider than the relevant resolution.
1
2
(deg)21
)(21 rad
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Events selection
Acceptance cut
Energy balance cut
)(rad
)(rad
)(rad
Det
ecto
r si
gnal
Det
ecto
r si
gnal
Det
ecto
r si
gnal
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Energy resolution - Bhabha
EE %24
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Angular resolution - Bhabha
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Background studieswe included in the
BHWIDE a background
simulation routine called CIRCE. This
was suggested to us by K. Moenig
Beamspread
Boogert & Miller note (0.05%)
(hep-ex/0211021)
Moenig talk in Zeuthen (0.1%)
Barbie
Detector simulation
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Background studies
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Selecting events in background MC
)(33)(80 mradmrad
)(2.621 GeVEE )(7.3 GeVE
)(01.021 rad )(001.0 rad
(deg)518021 (deg)5.0~
Cut Value Resolution Relative to Resolution
Acceptance
Energy balance ~85%
Angular symmetry
~14%
Azimuthal symmetry
<20%
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Energy resolution
Ntuple
No
cuts
With
cuts
Pure electrons
31% 29%
Bhabha
42% 24%
Bhabha + Beamstrahlung
45% 24%
Bhabha + Beamstrahlung + Beam spread (0.05%)
46% 25%
Bhabha + Beamstrahlung +Beam spread (0.5%)
49% 29%
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Angular resolution
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
intLR Event rate:
yx
nnfL
421Luminosity:
*2
L
LR&D approach:
410 L
LFuture linear collider precision goal:
x
y
1n 2n
Measurement approach : taking a known process – Bhabha scattering.
Bhabha
RL
e e
Luminosity
R&D status : 310
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Working with both sides of the detector and looking at the difference between the reconstructed properties:
(In real life we don’t have generated properties)
HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Conceptual experiment &real life algorithm
In real life we have a MC to help us understand our measurements.
We want to improve by a factor of 10, but maybe a 10% disagreement between data and MC is exactly the 10th factor we need.
The question is how well does our MC will describe the future data ?
2new
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
)(33.5)(2)(2)(30.8 '' GeVEEGev MCDATA
)(183.0)(2)(2)(165.0 '' mradmrad MCDATA
How far are we?
How well will our MC
describe the future DATA ?
11%
35%
1.’DATA’ = Reality MC
2. Real life algorithm )(21 GeVEE
)(21 rad
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider
Summary and future goals
Using a more systematic approach results with improved reconstruction algorithms and improved resolutions.
Our next step will be to explore further the ‘real life’ approach.
Final detector design recommendation.
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HEP Tel Aviv UniversityA Luminosity Detector for the Future Linear Collider