Basic Concepts of Calorimetry
Yasmine Israeli
Yasmine Israeli IMPRS Colloquium, December 2016 1
Basic Concepts of Calorimetry Yasmine Israeli Yasmine Israeli - - PowerPoint PPT Presentation
Basic Concepts of Calorimetry Yasmine Israeli Yasmine Israeli IMPRS Colloquium, December 2016 1 Outline What is a calorimeter Different particle showers Calorimeter types Problem in detecting an hadron Why hadronic and EM
Yasmine Israeli
Yasmine Israeli IMPRS Colloquium, December 2016 1
Yasmine Israeli IMPRS Colloquium, December 2016 2
Calorimeter measures the energy of an incoming particle.
(like photons, charge).
Yasmine Israeli IMPRS Colloquium, December 2016 3
Calorimeter measures the energy of an incoming particle.
(like photons, charge).
(µ± don’t induce showers) Yasmine Israeli IMPRS Colloquium, December 2016 3
Calorimeter measures the energy of an incoming particle.
(like photons, charge).
(µ± don’t induce showers)
”Ideal” calorimeter: Calorimeter signal ∝ deposited energy ∝ energy of primary particle
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produces more particles
energy of the ”secondaries” is sufficient to create new particles
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Shower length scales:
Simplified Model:
tmax = log2(E0 ǫc ) ⇒logarithmic increase of shower depth with E0
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Origin: energtic e−,e+ or γ interacts with dense matter → e−,e+,γ
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Origin: π±, K ±, K 0, p± or n entering dense matter → strong interaction!
⋆pair production ⋆photo-electric effect ⋆Bremsstrahlung ⋆ionization Yasmine Israeli IMPRS Colloquium, December 2016 6
Calorimeter { Absorbs the particle by generating shower↔ Absorber Converts particle′s energy into something detectable↔ Detector
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Calorimeter { Absorbs the particle by generating shower↔ Absorber Converts particle′s energy into something detectable↔ Detector Homogenous Calorimeter
Sampling Calorimeter
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Absorber+detector in one medium
Read-out ⋆Mostly based on light detection:
⋆Always at the end
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Absorber and detector are separated ⇒flexible and compact design Passive Layers:
▸ iron, lead, uranium
Active layers:
▸ Plastic scintillators+ photo-detectors ▸ Silicon detectors ▸ Noble liquid ionization chambers ▸ Gas detectors
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Homogenous Calorimeters:
Sampling Calorimeters:
↪ The fractions of how much is energy is deposited in the absorber and in the detector varies from event to event
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Calorimeter:
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Calorimeter:
In EM shower: e−, e+ or γ produces more e−, e+, γ
IMPRS Colloquium, December 2016 11
Calorimeter:
In EM shower: e−, e+ or γ produces more e−, e+, γ
IMPRS Colloquium, December 2016 11
Calorimeter:
In EM shower: e−, e+ or γ produces more e−, e+, γ
π detection > 1
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EM Showers:
Hadronic Showers:
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EM Showers:
Hadronic Showers:
X0 < λInt ⇒ EM showers are more compact!
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EM Showers:
Hadronic Showers:
X0 < λInt ⇒ EM showers are more compact! EM shower* usually:
* also the EM sub-shower in the Had. shower Yasmine Israeli IMPRS Colloquium, December 2016 12
A small EM calorimeter before Had. calorimeter
↪can use homogeneous calorimeter for Ecal (EM calorimeter).
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For each event:
total = ECal
∑
All signals
Esignal
total = HCal
∑
All signals
Esignal
E event
reco
= E Ecal
total ⋅ ωE + E Hcal total ⋅ ωH
All events:
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SiW ECAL
AHCAL+TCMT
⇒ µ, σ
Ereco
E [GeV] 10 20 30 40 50 60 500 1000 1500 2000 2500
/E=0.0977 σ =35.3704, µ Standard Reco.,
[GeV]
recE 10 20 30 40 50 60 70 80 CERN TB
CALICE Prototype, Standard Reco. [GeV]
beamE 10 20 30 40 50 60 70 80
beam)/E
beam(E 0.04 − 0.02 − 0.02 0.04
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∆E0 E0 = σ(E0) E0 = a √E0 ⊕ b E0 ⊕ c
Stochastic term: Fluctuation in the number of measured particles (a simple statistical error) Noise term: Readout electronic noise, pile-up fluctuations Constant term: ⋆ Non-uniform detector response ⋆ Channel to channel inter-calibration errors ⋆ Fluctuations in longitudinal energy containment ⋆ Energy lost in dead material, before or in detector
[GeV]
beamE 10 20 30 40 50 60 70 80
rec/E
recσ 0.05 0.1 0.15 0.2 0.25 0.3 0.35 Standard Reco. c / E ⊕ b ⊕ E Fit: a /
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e+e− → Zh → µ+µ−h
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e+e− → Zh → µ+µ−h
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e+e− → Zh → µ+µ−h
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e+e− → Zh → µ+µ−h
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Thank you for your attention!
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Problem in detection: e π > 1 ⇒ Lost energy in the hadron decay.
→ Classification of hits based on the energy density
χ2 = ∑
events
( ∑
hits
Ehitωj − Ebeam)
2 j=Energy density index
Energy Density[MIP/cell] 5 10 15 20 25 30 35 40 45 50 0.05 MIP/cell) × hits/(events
10
10
10
10
10 1 10
AHCal: Data 10
j density bin index
2 4 6 8 10
) [GeV/MIP] j,E ( ω
0.01 0.02 0.03 0.04 0.05
CALICE work in progress
AHCal weights: 80GeV 60GeV 50GeV 40GeV 20GeV 10GeV
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