Physics:Quantum data analysis/Calorimetry: Difference between revisions
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'''Calorimetry''' measures particle energy by absorbing particles in detector material and sampling the resulting electromagnetic or hadronic shower. Calorimeters are essential for measuring photons, electrons, jets, missing transverse momentum, and total event energy. In data analysis, calorimeter information must be calibrated, clustered, corrected, and combined with tracking and muon information.<ref name="leo">{{cite book |last=Leo |first=William R. |title=Techniques for Nuclear and Particle Physics Experiments |publisher=Springer |year=1994 |isbn=978-3-540-57280-0}}</ref> | |||
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[[File:Quantum_data_analysis_calorimetry_yellow.png|thumb|280px| | [[File:Quantum_data_analysis_calorimetry_yellow.png|thumb|280px|Calorimetry represented as energy deposition in detector layers.]] | ||
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== Electromagnetic and hadronic calorimeters == | |||
Electromagnetic calorimeters measure showers from electrons and photons, while hadronic calorimeters measure showers from strongly interacting particles. Hadronic response is more complex because invisible energy and shower fluctuations are larger.<ref name="leo">{{cite book |last=Leo |first=William R. |title=Techniques for Nuclear and Particle Physics Experiments |publisher=Springer |year=1994 |isbn=978-3-540-57280-0}}</ref> | |||
== Calibration == | |||
Calibration corrects for detector response, nonuniformity, material effects, pileup, and energy scale. Control samples such as known resonances, isolated particles, and test-beam data are used to validate the response.<ref name="atlasdet">{{cite journal |collaboration=ATLAS Collaboration |title=The ATLAS Experiment at the CERN Large Hadron Collider |journal=Journal of Instrumentation |volume=3 |pages=S08003 |year=2008 |doi=10.1088/1748-0221/3/08/S08003}}</ref><ref name="cmsdet">{{cite journal |collaboration=CMS Collaboration |title=The CMS experiment at the CERN LHC |journal=Journal of Instrumentation |volume=3 |pages=S08004 |year=2008 |doi=10.1088/1748-0221/3/08/S08004}}</ref> | |||
== Analysis use == | |||
Calorimeter clusters contribute to electron, photon, tau, jet, and missing-energy reconstruction. Their resolution and tails often dominate important systematic uncertainties.<ref name="pdg2024">{{cite journal |collaboration=Particle Data Group |title=Review of Particle Physics |journal=Physical Review D |volume=110 |issue=3 |pages=030001 |year=2024 |doi=10.1103/PhysRevD.110.030001}}</ref> | |||
=See also= | =See also= | ||
Revision as of 20:57, 19 May 2026
Calorimetry measures particle energy by absorbing particles in detector material and sampling the resulting electromagnetic or hadronic shower. Calorimeters are essential for measuring photons, electrons, jets, missing transverse momentum, and total event energy. In data analysis, calorimeter information must be calibrated, clustered, corrected, and combined with tracking and muon information.[1]
Electromagnetic and hadronic calorimeters
Electromagnetic calorimeters measure showers from electrons and photons, while hadronic calorimeters measure showers from strongly interacting particles. Hadronic response is more complex because invisible energy and shower fluctuations are larger.[1]
Calibration
Calibration corrects for detector response, nonuniformity, material effects, pileup, and energy scale. Control samples such as known resonances, isolated particles, and test-beam data are used to validate the response.[2][3]
Analysis use
Calorimeter clusters contribute to electron, photon, tau, jet, and missing-energy reconstruction. Their resolution and tails often dominate important systematic uncertainties.[4]
See also
Table of contents (60 articles)
Index
Foundations and experiments
Analysis, measurements and discovery
Full contents
1. Introduction to Particle Physics (5) Back to index
2. Nuts and Bolts (4) Back to index
3. Overview of Particle Collision Experiments (3) Back to index
4. Collision Kinematics and Complex Observables (8) Back to index
5. Basic Measurements (4) Back to index
6. Data Acquisition Electronics and Systems (1) Back to index
7. Event Reconstruction (3) Back to index
8. Monte Carlo Simulations (4) Back to index
9. General Statistical Methods and Data Visualisation (6) Back to index
10. Standard Model Measurements (6) Back to index
11. Searches for New Physics (4) Back to index
12. Data Processing Techniques (4) Back to index
13. Fit Optimisation Techniques (4) Back to index
14. Advanced Data Comprehension Techniques (3) Back to index
15. Machine Learning (1) Back to index
60. Machine Learning
References
- ↑ 1.0 1.1 Leo, William R. (1994). Techniques for Nuclear and Particle Physics Experiments. Springer. ISBN 978-3-540-57280-0.
- ↑ "The ATLAS Experiment at the CERN Large Hadron Collider". Journal of Instrumentation 3: S08003. 2008. doi:10.1088/1748-0221/3/08/S08003.
- ↑ "The CMS experiment at the CERN LHC". Journal of Instrumentation 3: S08004. 2008. doi:10.1088/1748-0221/3/08/S08004.
- ↑ "Review of Particle Physics". Physical Review D 110 (3): 030001. 2024. doi:10.1103/PhysRevD.110.030001.
Author: Sergei V. Chekanov
Author: Claude Pruneau
Author: Harold Foppele
Source attribution: Physics:Quantum data analysis/Calorimetry
