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Study of a Compensating
Calorimeter
for a e+ e- Linear Collider
at Very High Energy
30 Aprile 2007
Vito Di Benedetto
ILCA future project for a
e+ e- Linear Collider
electron-positron collider;
ILC's design consist of
two facing linear
accelerators, each 20
kilometers long;
c.m. energy 0.5 - 1 TeV;
ILC target luminosity:
500 fb-1 in 4 years.
Fourth Concept Detector (“4th”)
Basic conceptual design: 4 subsystems• Vertex Detector 20-micron pixels• Time Projection Chamber
Drift Chamber as alternative to overcome
known limitations of the TPC technology• Double-readout calorimeters
Fibers hadronic calorimeter:
scintillation/Čerenkov Crystals EM calorimeter
• Muon dual-solenoid spectrometer
Requirements for ILC Detectors
Physics goal of ILC Wide variety of processes
Energy range: Mz<ECM<1 TeV
Basic detectors requirements Efficient identification and precise 4-momentum measurement
of the particles Extremely good jet energy resolution to separate W and Z
Efficient jet-flavor identification capability
Excellent charged-particle momentum resolution
Hermetic coverage to veto 2-photon background
Calorimetry at ILC
Most of the important physics processes to be studied in the ILC
experiment have multi-jets in the final state
Jet energy resolution is the key in the ILC physics
The world-wide consensus of the performance goal for the
jet energy resolution is:
)GeV(/%30/ EEE
Problems in Hadron Calorimeters
The most important fluctuation is in the em shower
fraction, fem
LESSONS FROM 25 YEARS OF R&D
Energy resolution determined by fluctuations
To improve hadronic calorimeter performance
reduce/eliminate the (effects of) fluctuations that dominate the
performance
Measurement of fem value event by event by comparing
two different signals from scintillation light and
Ĉerenkov light in the same device.
Solution: Dual Readout Calorimeter
Unit cell
Back end of
2-meter deep
module
Physical
channel
structure
Dual REAdout Module (DREAM)http://www.phys.ttu.edu/dream/
From DREAM to the 4th Concept HCAL
Cu + scintillating fibers
+ Ĉerenkov fibers
~1.5° aperture angle
~ 10 int depth
Fully projective geometry
Azimuth coverage
down to 3.8°
Barrel: 13924 cells
Endcaps: 3164 cells
Simulation/Reconstruction Steps
inside ILCRoot FrameworkMC Simulation Energy Deposits in Detector
Digitization Detector response combined
Pattern Recognition Recpoints
Track Finding Tracks
Track Fitting Track Parameters
ILCRoot: summary of features
CERN architecture (based on Alice’s Aliroot)
Full support provided by Brun, Carminati, Ferrari, et al.
Uses ROOT as infrastructure– All ROOT tools are available (I/O, graphics, PROOF,
data structure, etc)– Extremely large community of users/developers
Six MDC have proven robustness, reliability and portability
Single framework, from generation to reconstruction through simulation. Don’t forget analysis!!!
Calibration
Energy of HCAL calibrated in 2 steps:
Calibrate with single 40 GeV e-
EC and E
S
Calibrate with single 40 GeV
C
and S
Sh
eS
Ch
eC
Reconstructed energy
Once HCAL calibrated, calorimeter energy:
SC
SCCCSSHCAL
EEE
11
HCAL Resolution Plots
40 GeV e-
40 GeV π-
S
S
C
C
EHCAL
EHCAL
Reconstructed vs Beam Energy
Total Energy
Pattern
Recognition
cc & & ss
Independent Independent
on Energyon Energy
Pions data
all HCAL energy
single recpart energy
Visible Visible
energy fully energy fully
measuredmeasured
Resolution for hadrons
Low statistics
Pattern
Recognition
Pions data
all HCAL energy
single recpart energy
/ndf 1.351e-05/4
P0 0.3545± 0.01041
P1 0.001335±0.001704
Total Energy
/ndf 1.435e-05/4
P0 0.3803± 0.01072
P1 0.0002627±0.001756
Particle Identification
e
e
40 GeV particles
Jets Studies
e+ e- -> q q (uds)
The Jet Finder Algorithm Look for the jet axis using a Durham algorithm
Charged tracks
Calorimeter cells
Calorimeter Clusters
Jet core
Open a cone increasingly bigger around the jet axis (< 60°)
Run a Durham j.f. on the cells of the calorimeter inside the cone
Jet outliers
Check leftover/isolated calo cluster/cells for match with a track from TPC+VXD
Add calorimetric or track momentum
Add low Pt tracks not reaching the calorimeter
Muons
Add tracks reconstructed in the MUD
Total Energy PlotsNo jet finderEnergy calibration with
no material in front
Energy Resolution
Total visible
Energy (no jet
finding)
Single jet (jet
finding included)
Physics Studies
e+e- -> ZoHo -> cc
Jet Finder Performance
Angular resolution < 2°
Energy resolution = 4 GeV
Jet-Jet Mass Plot
ConclusionsThe 4th Concept has chosen a Calorimeter with
Dual Readout
The technology has been tested at a test beam,
but never in a real experiment
Performance of Calorimeter is expected to be
extremely good:
σE/E = 38%/√E (single particles)
σE/E = 39%/√E (jets)An ECAL design with Dual Readout crystal
technology is under way
Bottom view of single cell
Bottom cell size: ~4.8 × 4.8 cm2
Top cell size: ~ 8.8 × 8.8 cm2
Prospective view of clipped cell
Cell length: 150 cm
Number of fibers inside each cell: 1980equally subdivided between Scintillating and CerenkovFiber stepping ~2 mm
Hadronic Calorimeter CellsHadronic Calorimeter Cells
Simulation (1)
Light production in the fibers simulated through 2 separate
steps:
1. Energy deposition (hits) in active materials calculated by
the tracking algorithm of the MC
2. Conversion of the energy into the number of S and C
photons by specific routins taking account several
factors: energy of the particle, angle between the particle
and the fiber, etc. Poisson uncertaintity introduced in the
number of photon produced
Simulation (2)
Response function of the electronics not
yet simulated (digits)
Random noise generated to test the ability
of reconstruction algorithm to reject such
spurious “hits”
Reconstruction
Clusterization ( pattern recognition)
cluster = collection of nearby “digits” Build Clusters from cells distant no more than two
towers away
Unfold overlapping clusters through a Minuit fit to cluster shape
Reconstructed energy E adding separately ES
and EC of all the cells belonging to the
reconstructed cluster
e+e- -> ZoHo -> cc Pandora-Pythia (Ecm=350 GeV, MH=140 GeV) + Fluka
No MUD (use MC truth) Cut recoil mass 20 GeV around Zo mass
Maximize j.f. efficiency through yt cut (ff=97%)