Physics:Quantum data analysis/Scattering Studies: Difference between revisions
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'''Scattering studies''' examine how particles change direction, energy, identity, or multiplicity after interacting. They are the experimental basis for measuring interaction strengths, internal structure, resonances, angular correlations, and quantum numbers. In high-energy physics, scattering is interpreted through amplitudes and cross sections, but measured through reconstructed final states and statistical comparisons.<ref name="halzen">{{cite book |last1=Halzen |first1=Francis |last2=Martin |first2=Alan D. |title=Quarks and Leptons: An Introductory Course in Modern Particle Physics |publisher=Wiley |year=1984 |isbn=978-0-471-88741-6}}</ref> | |||
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[[File:Quantum_data_analysis_scattering_studies_yellow.png|thumb|280px|Scattering | [[File:Quantum_data_analysis_scattering_studies_yellow.png|thumb|280px|Scattering studies represented as incoming and outgoing particle states.]] | ||
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== Elastic and inelastic scattering == | |||
Elastic scattering preserves the identities of the incoming particles, while inelastic scattering produces new final states or excites internal structure. Both types can reveal information about forces, form factors, and interaction ranges.<ref name="halzen">{{cite book |last1=Halzen |first1=Francis |last2=Martin |first2=Alan D. |title=Quarks and Leptons: An Introductory Course in Modern Particle Physics |publisher=Wiley |year=1984 |isbn=978-0-471-88741-6}}</ref> | |||
== Angular information == | |||
Scattering angles and angular distributions encode spin, parity, exchange particles, and interaction type. Differential distributions often carry more information than a single event count.<ref name="griffiths">{{cite book |last=Griffiths |first=David J. |title=Introduction to Elementary Particles |edition=2nd |publisher=Wiley-VCH |year=2008 |isbn=978-3-527-40601-2}}</ref> | |||
== Experimental analysis == | |||
A scattering measurement requires event selection, background estimation, acceptance correction, and comparison with theory or simulation. Detector resolution and binning choices can strongly affect the final distribution.<ref name="cowan">{{cite book |last=Cowan |first=Glen |title=Statistical Data Analysis |publisher=Oxford University Press |year=1998 |isbn=978-0-19-850156-5}}</ref> | |||
=See also= | =See also= | ||
Revision as of 20:57, 19 May 2026
Scattering studies examine how particles change direction, energy, identity, or multiplicity after interacting. They are the experimental basis for measuring interaction strengths, internal structure, resonances, angular correlations, and quantum numbers. In high-energy physics, scattering is interpreted through amplitudes and cross sections, but measured through reconstructed final states and statistical comparisons.[1]
Elastic and inelastic scattering
Elastic scattering preserves the identities of the incoming particles, while inelastic scattering produces new final states or excites internal structure. Both types can reveal information about forces, form factors, and interaction ranges.[1]
Angular information
Scattering angles and angular distributions encode spin, parity, exchange particles, and interaction type. Differential distributions often carry more information than a single event count.[2]
Experimental analysis
A scattering measurement requires event selection, background estimation, acceptance correction, and comparison with theory or simulation. Detector resolution and binning choices can strongly affect the final distribution.[3]
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 Halzen, Francis; Martin, Alan D. (1984). Quarks and Leptons: An Introductory Course in Modern Particle Physics. Wiley. ISBN 978-0-471-88741-6.
- ↑ Griffiths, David J. (2008). Introduction to Elementary Particles (2nd ed.). Wiley-VCH. ISBN 978-3-527-40601-2.
- ↑ Cowan, Glen (1998). Statistical Data Analysis. Oxford University Press. ISBN 978-0-19-850156-5.
Author: Sergei V. Chekanov
Author: Claude Pruneau
Author: Harold Foppele
Source attribution: Physics:Quantum data analysis/Scattering Studies
