Physics:Quantum data analysis/Jets
Jets are collimated sprays of particles produced when high-energy quarks or gluons fragment into hadrons. In data analysis, jets are reconstructed objects rather than elementary particles: they depend on clustering algorithms, calibration, detector response, pileup mitigation, and analysis definitions. Jets are essential for QCD studies, top physics, Higgs measurements, and many searches for new physics.[1]
Jet reconstruction
Jet algorithms cluster particles or detector objects using distance measures in momentum and angle. The algorithm choice and radius parameter define the measured object and must match the theory or simulation comparison.[1]
Calibration and uncertainties
Jet energy scale, resolution, flavor response, pileup, and tagging efficiency are major sources of systematic uncertainty. Control samples and simulation are used to calibrate jets and estimate their uncertainties.[2][3]
Physics role
Jets reveal quark and gluon dynamics, hadronic decays of heavy particles, missing-energy backgrounds, and event topology. Substructure methods can identify boosted particle decays inside a single large-radius jet.[4]
See also
Table of contents (60 articles)
Index
Full contents
References
- ↑ 1.0 1.1 "Review of Particle Physics". Physical Review D 110 (3): 030001. 2024. doi:10.1103/PhysRevD.110.030001.
- ↑ "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.
- ↑ Sjostrand, Torbjorn; Mrenna, Stephen; Skands, Peter (2008). "A brief introduction to PYTHIA 8.1". Computer Physics Communications 178 (11): 852-867. doi:10.1016/j.cpc.2008.01.036.
Source attribution: Physics:Quantum data analysis/Jets
