Physics:Quantum data analysis/Cross Sections: Difference between revisions

From HandWiki Test
Move yellow lead caption to image caption
Rebuild Book IV chapter page from reviewed Wikipedia sources
Line 1: Line 1:
{{Short description|Cross Sections in particle-physics data analysis}}
{{Short description|Cross sections in particle-physics data analysis}}


{{Quantum data backlink|Nuts and Bolts}}
{{Quantum data backlink|Nuts and Bolts}}
Line 10: Line 10:


<div style="flex:1; line-height:1.45; color:#006b45; column-count:2; column-gap:32px; column-rule:1px solid #b8d8c8;">
<div style="flex:1; line-height:1.45; color:#006b45; column-count:2; column-gap:32px; column-rule:1px solid #b8d8c8;">
 
A '''cross section''' is the standard quantity used to express the probability rate for a specified particle interaction. In particle physics it translates observed event counts into an effective interaction area after accounting for luminosity, selection efficiency, detector acceptance, backgrounds, and bin migration. Cross sections are central because they allow measurements from different experiments, energies, and final states to be compared with theory predictions.<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>
</div>
</div>


<div style="width:300px;">
<div style="width:300px;">
[[File:Quantum_data_analysis_cross_sections_yellow.png|thumb|280px|Cross Sections represented as a compact particle-physics data analysis workflow.]]
[[File:Quantum_data_analysis_cross_sections_yellow.png|thumb|280px|Cross sections represented as a compact particle-physics data analysis workflow.]]
</div>
</div>


</div>
</div>
== Inclusive and differential forms ==
An inclusive cross section counts all events satisfying a definition, while a differential cross section describes how the rate changes with variables such as transverse momentum, rapidity, invariant mass, or scattering angle.<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>
== Experimental extraction ==
A measured cross section usually requires background subtraction, efficiency correction, luminosity normalization, and uncertainty propagation. When detector resolution moves events between bins, unfolding or forward-folded comparisons may be used.<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>
== Theory comparison ==
Cross sections are compared with perturbative calculations, event-generator predictions, and effective models. Agreement or disagreement depends on the observable definition, phase-space cuts, order of calculation, and treatment of systematic uncertainties.<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>


=See also=
=See also=

Revision as of 20:57, 19 May 2026


A cross section is the standard quantity used to express the probability rate for a specified particle interaction. In particle physics it translates observed event counts into an effective interaction area after accounting for luminosity, selection efficiency, detector acceptance, backgrounds, and bin migration. Cross sections are central because they allow measurements from different experiments, energies, and final states to be compared with theory predictions.[1]

Error creating thumbnail: File missing
Cross sections represented as a compact particle-physics data analysis workflow.

Inclusive and differential forms

An inclusive cross section counts all events satisfying a definition, while a differential cross section describes how the rate changes with variables such as transverse momentum, rapidity, invariant mass, or scattering angle.[1]

Experimental extraction

A measured cross section usually requires background subtraction, efficiency correction, luminosity normalization, and uncertainty propagation. When detector resolution moves events between bins, unfolding or forward-folded comparisons may be used.[2]

Theory comparison

Cross sections are compared with perturbative calculations, event-generator predictions, and effective models. Agreement or disagreement depends on the observable definition, phase-space cuts, order of calculation, and treatment of systematic uncertainties.[3]

See also

Table of contents (60 articles)

Index

Full contents

15. Machine Learning (1) Back to index

References

  1. 1.0 1.1 "Review of Particle Physics". Physical Review D 110 (3): 030001. 2024. doi:10.1103/PhysRevD.110.030001. 
  2. Cowan, Glen (1998). Statistical Data Analysis. Oxford University Press. ISBN 978-0-19-850156-5. 
  3. Halzen, Francis; Martin, Alan D. (1984). Quarks and Leptons: An Introductory Course in Modern Particle Physics. Wiley. ISBN 978-0-471-88741-6. 
Author: Sergei V. Chekanov
Author: Claude Pruneau
Author: Harold Foppele

Source attribution: Physics:Quantum data analysis/Cross Sections