Precision measurement of the total hadronic cross-section with CMD-2 at VEPP-2M e+e- collider
Introduction to Hadronic Final State Reconstruction in Collider Experiments (Part III)
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Transcript of Introduction to Hadronic Final State Reconstruction in Collider Experiments (Part III)
Intr
od
ucti
on
to H
ad
ron
ic F
inal S
tate
R
econ
str
ucti
on
in
Collid
er
Exp
eri
men
ts
Introduction to Hadronic Final State Reconstruction in Collider Experiments
(Part III)
Introduction to Hadronic Final State Reconstruction in Collider Experiments
(Part III)
Peter LochPeter LochUniversity of ArizonaUniversity of Arizona
Tucson, ArizonaTucson, ArizonaUSAUSA
Peter LochPeter LochUniversity of ArizonaUniversity of Arizona
Tucson, ArizonaTucson, ArizonaUSAUSA
2P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Calorimeter Basics
Full absorption detectorFull absorption detector Idea is to convert incoming particle energy into detectable signalsIdea is to convert incoming particle energy into detectable signals
Light or electric currentLight or electric current Should work for charged and neutral particlesShould work for charged and neutral particles
Exploits the fact that particles entering matter deposit their energy in particle Exploits the fact that particles entering matter deposit their energy in particle cascadescascades Electrons/photons in electromagnetic showersElectrons/photons in electromagnetic showers Charged pions, protons, neutrons in hadronic showersCharged pions, protons, neutrons in hadronic showers Muons do not shower at all in generalMuons do not shower at all in general
Principal design challengesPrincipal design challenges Need dense matter to absorb particles within a small detector volumeNeed dense matter to absorb particles within a small detector volume
Lead for electrons and photons, copper or iron for hadronsLead for electrons and photons, copper or iron for hadrons Need “light” material to collect signals with least lossesNeed “light” material to collect signals with least losses
Scintillator plastic, nobel gases and liquidsScintillator plastic, nobel gases and liquids Solution I: combination of both features Solution I: combination of both features
Crystal calorimetry, BGOCrystal calorimetry, BGO Solution II: sampling calorimetrySolution II: sampling calorimetry
3P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Calorimeter Basics (2)
Sampling calorimetersSampling calorimeters Use dense material for absorption power… Use dense material for absorption power…
No direct signal No direct signal
……in combination with highly efficient active material in combination with highly efficient active material Generates signalGenerates signal
Consequence: only a certain fraction of the incoming energy is directly Consequence: only a certain fraction of the incoming energy is directly converted into a signalconverted into a signal Typically 1-10%Typically 1-10%
Signal is therefore subjected to sampling statisticsSignal is therefore subjected to sampling statistics The same energy loss by a given particle type may generate different signalsThe same energy loss by a given particle type may generate different signals Limit of precision in measurementsLimit of precision in measurements
Need to understand particle responseNeed to understand particle response Electromagnetic and hadronic showersElectromagnetic and hadronic showers
4P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Electromagnetic Cascades in Calorimeters
Electromagnetic showersElectromagnetic showers Particle cascade generated by Particle cascade generated by
electrons/positrons and photons in electrons/positrons and photons in mattermatter
Developed by bremsstrahlung & pair-Developed by bremsstrahlung & pair-productionproduction
Compact signal expectedCompact signal expected Regular shower shapesRegular shower shapes
Small shower-to-shower fluctuationsSmall shower-to-shower fluctuations Strong correlation between longitudinal Strong correlation between longitudinal
and lateral shower spreadand lateral shower spread
RD3 note 41, 28 Jan 1993
0
20
0
Approximation good within 2% for all materials
radiation length
Helium (5% low)
Shower depth scales in :716.4
g cm278
1 ln
except Sh Molierower width scales
21 Me
e i Ra
1
d
V
n :ii
M
M
S
c
AX
Z ZZ
ER X
E
X
R
Z
0
00.0265 1.2
(90% energy containment radius)
with 21 Me
.2800 MeV
800 MeV1.
V
2
s
cEZ
X
E
X Z
C. Amsler et al. (Particle Data Group), Physics Letters B667, 1 (2008) and 2009 partial update for the 2010 edition
5P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Electromagnetic Cascades in Calorimeters
Electromagnetic showersElectromagnetic showers Particle cascade generated by Particle cascade generated by
electrons/positrons and photons in electrons/positrons and photons in mattermatter
Developed by bremsstrahlung & pair-Developed by bremsstrahlung & pair-productionproduction
Compact signal expectedCompact signal expected Regular shower shapesRegular shower shapes
Small shower-to-shower fluctuationsSmall shower-to-shower fluctuations Strong correlation between longitudinal Strong correlation between longitudinal
and lateral shower spreadand lateral shower spread
RD3 note 41, 28 Jan 1993C. Amsler et al. (Particle Data Group), Physics Letters B667, 1 (2008) and 2009 partial update for the 2010 edition
1
0 0
max
( ), with
( )
1 1.0 ln ,
with and
0.5 for 0.5 for
a bt
j
c
j
dE bt eE b t x X
dt a
t a b y C
y E E
eC
6P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Electromagnetic Cascades in Calorimeters
Electromagnetic showersElectromagnetic showers Particle cascade generated by Particle cascade generated by
electrons/positrons and photons in electrons/positrons and photons in mattermatter
Developed by bremsstrahlung & pair-Developed by bremsstrahlung & pair-productionproduction
Compact signal expectedCompact signal expected Regular shower shapesRegular shower shapes
Small shower-to-shower fluctuationsSmall shower-to-shower fluctuations Strong correlation between longitudinal Strong correlation between longitudinal
and lateral shower spreadand lateral shower spread
RD3 note 41, 28 Jan 1993
G.A. Akopdzhanov et al. (Particle Data Group), Physics Letters B667, 1 (2008) and 2009 partial update for the 2010 edition
( ) ( )1( ) ( )E r E rdE
a E e b E eE dr
P. Loch (Diss.), University of Hamburg 1992
7P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Hadronic Cascades in Calorimeters
Hadronic signalsHadronic signals Much larger showersMuch larger showers
Need deeper developmentNeed deeper development Wider shower spreadWider shower spread
Large energy losses without signal Large energy losses without signal generation in hadronic shower generation in hadronic shower componentcomponent Binding energy lossesBinding energy losses Escaping energy/slow particles Escaping energy/slow particles
(neutrinos/neutrons)(neutrinos/neutrons) Signal depends on size of Signal depends on size of
electromagnetic componentelectromagnetic component Energy invested in neutral pions lost Energy invested in neutral pions lost
for further hadronic shower for further hadronic shower developmentdevelopment
Fluctuating significantly shower-by-Fluctuating significantly shower-by-showershower
Weakly depending on incoming Weakly depending on incoming hadron energyhadron energy
Consequence: non-compensationConsequence: non-compensation Hadrons generate less signal than Hadrons generate less signal than
electrons depositing the same energyelectrons depositing the same energy 30 GeV electrons
30 GeV pions
P. Loch (Diss.), University of Hamburg 1992
8P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Shower Features Summary
ElectromagneticElectromagnetic CompactCompact
Growths in depth ~log(E)Growths in depth ~log(E) Longitudinal extension scale is radiation Longitudinal extension scale is radiation
length length XX00
Distance in matter in which ~50% of Distance in matter in which ~50% of electron energy is radiated offelectron energy is radiated off
Photons 9/7 XPhotons 9/7 X00
Strong correlation between lateral and Strong correlation between lateral and longitudinal shower developmentlongitudinal shower development
Small shower-to-shower fluctuationsSmall shower-to-shower fluctuations Very regular developmentVery regular development
Can be simulated with high precisionCan be simulated with high precision 1% or better, depending on features1% or better, depending on features
HadronicHadronic Scattered, significantly biggerScattered, significantly bigger
Growths in depth ~log(E)Growths in depth ~log(E) Longitudinal extension scale is interaction Longitudinal extension scale is interaction
length length λλ >> >> XX00 Average distance between two inelastic Average distance between two inelastic
interactions in matterinteractions in matter Varies significantly for pions, protons, Varies significantly for pions, protons,
neutronsneutrons Weak correlation between longitudinal Weak correlation between longitudinal
and lateral shower developmentand lateral shower development Large shower-to-shower fluctuationsLarge shower-to-shower fluctuations
Very irregular developmentVery irregular development Can be simulated with reasonable Can be simulated with reasonable
precisionprecision ~2-5% depending on feature~2-5% depending on feature
9P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Electromagnetic Signals
Signal features in sampling Signal features in sampling calorimeterscalorimeters Collected from ionizations in Collected from ionizations in
active material active material Not all energy deposit Not all energy deposit
converted to signalconverted to signal Proportional to incoming Proportional to incoming
electron/photonelectron/photon C.f. Rossi’s shower model, C.f. Rossi’s shower model,
Approximation B Approximation B Only charged tracks contribute
to signal Only pair-production for
photons Energy loss is constant
Signal proportional to Signal proportional to integrated shower particle pathintegrated shower particle path
Stochastical fluctuationsStochastical fluctuations Sampling characterSampling character
Sampling fractionSampling fraction Describes average fraction of Describes average fraction of
deposited energy generating deposited energy generating the signalthe signal
max
c0
act
0c
c
ive0
v
Integrated shower particle track length:
2 2( )
3 3ln2
(only charged tracks ionize!)Number of crossings of active material:
Deposited energy contributing to the signal:
t
T N t dtE
T
TN
E
T
dE
E
active
is 0
vis 0
0
Stochastic nature of sampling:
( ) ( )
d dEdx E
dx
N N E
N N E
E N E
10P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Signal Formation: Sampling Fraction
Characterizes sampling Characterizes sampling calorimeterscalorimeters Ratio of energy deposited in active Ratio of energy deposited in active
material and total energy depositmaterial and total energy deposit Assumes constant energy loss per Assumes constant energy loss per
unit depth in materialunit depth in material Ionization onlyIonization only
Can be adjusted when designing the Can be adjusted when designing the calorimetercalorimeter MaterialMaterial choices choices ReadoutReadout geometry geometry
Multiple scatteringMultiple scattering Changes sampling fractionChanges sampling fraction
Effective extension of particle path Effective extension of particle path in matterin matter
Different for absorber and active Different for absorber and active materialmaterial
Showering Showering Cannot be included in sampling Cannot be included in sampling
fraction analyticallyfraction analytically Need measurements and/or Need measurements and/or
simulationssimulations
activevis active
dep active absorb
active
active
absorber
absorber active
eractive absor
ac
b
tive ab
r
e
e
sorb r
(with Rossi's assumption
and )
dE dx
dE dx dE
dE dx cons
dE dx dES
E dE
t
dE d
dx d dE
x const
x
d
d
x
d
d d
11P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Signal Formation: Sampling Fraction
Characterizes sampling Characterizes sampling calorimeterscalorimeters Ratio of energy deposited in active Ratio of energy deposited in active
material and total energy depositmaterial and total energy deposit Assumes constant energy loss per Assumes constant energy loss per
unit depth in materialunit depth in material Ionization onlyIonization only
Can be adjusted when designing the Can be adjusted when designing the calorimetercalorimeter MaterialMaterial choices choices ReadoutReadout geometry geometry
Multiple scatteringMultiple scattering Changes sampling fractionChanges sampling fraction
Effective extension of particle path Effective extension of particle path in matterin matter
Different for absorber and active Different for absorber and active materialmaterial
Showering Showering Cannot be included in sampling Cannot be included in sampling
fraction analyticallyfraction analytically Need measurements and/or Need measurements and/or
simulationssimulations
active
active absorbe absorbr er active active
vis
absorb r
dep
ecos cosd d
dE dx
dE dx
E
x
S
dE d
E
C. Amsler et al. (Particle Data Group), Physics Letters B667, 1 (2008) and 2009 partial update for the 2010 edition
00
0
Approximation:
13.6 MeV1 0.038 ln
particle velocityparticle momentum
with particle charge numbermaterial thickness in radiation length
(good to 11% for singly charged parti
xz x X
cp X
cpzx X
10
cles with 1 for all
matter and within 10 100)x X
12P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Signal Formation: Sampling Fraction
Characterizes sampling Characterizes sampling calorimeterscalorimeters Ratio of energy deposited in active Ratio of energy deposited in active
material and total energy depositmaterial and total energy deposit Assumes constant energy loss per Assumes constant energy loss per
unit depth in materialunit depth in material Ionization onlyIonization only
Can be adjusted when designing the Can be adjusted when designing the calorimetercalorimeter MaterialMaterial choices choices ReadoutReadout geometry geometry
Multiple scatteringMultiple scattering Changes sampling fractionChanges sampling fraction
Effective extension of particle path Effective extension of particle path in matterin matter
Different for absorber and active Different for absorber and active materialmaterial
Showering Showering Cannot be included in sampling Cannot be included in sampling
fraction analyticallyfraction analytically Need measurements and/or Need measurements and/or
simulationssimulations
vis 0
dep 0
0
( )
( ) is the calorimeter signal from test beamsor simulation, converted to energy units.
E A ES
E E
A E
Showering changes the electron sampling fraction mostly due to the strong dependence of photon capture (photo-effect) on the material (cross-section ~Z5) leading to a non-proportional absorption of energy carried by soft photons deeper in the shower!
P. Loch (Diss.), University of Hamburg 1992
1S
5 GeV
30 GeV
80 GeV
Electrons
13P. LochP. Loch
U of ArizonaU of ArizonaFebruary 09, 2010February 09, 2010
Signal Extraction
Example: charge collection in noble Example: charge collection in noble liquidsliquids Charged particles ionizing active Charged particles ionizing active
medium when traversing itmedium when traversing it Fast passage compared to electron Fast passage compared to electron
drift velocity in mediumdrift velocity in medium Electrons from these ionizations are Electrons from these ionizations are
collected in external electric fieldcollected in external electric field Similar to collection of 1-dim “line of Similar to collection of 1-dim “line of
charges” with constant charge densitycharges” with constant charge density Resulting (electron) current is base of Resulting (electron) current is base of
signalsignal Positive ions much slowerPositive ions much slower Can collect charges or measure currentCan collect charges or measure current
Characteristic featuresCharacteristic features Collected charge and current are Collected charge and current are
proportional to energy deposited in proportional to energy deposited in active mediumactive medium
Drift time for electrons in active Drift time for electrons in active mediummedium Determines charge collection timeDetermines charge collection time Can be adjusted to optimize Can be adjusted to optimize
calorimeter performancecalorimeter performance
visd 0
d ion
( ) ; ( ) ; 2e e
e
N e N e EQ tt I tt N
t E