Context-aware stress testing reveals that the local assumption fails for Z→ℓℓ reconstruction at HL-LHC, producing bias and degraded resolution that an unsupervised regime-mapping framework then corrects.
Pattern Recognition and Event Reconstruction in Particle Physics Experiments
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abstract
This report reviews methods of pattern recognition and event reconstruction used in modern high energy physics experiments. After a brief introduction into general concepts of particle detectors and statistical evaluation, different approaches in global and local methods of track pattern recognition are reviewed with their typical strengths and shortcomings. The emphasis is then moved to methods which estimate the particle properties from the signals which pattern recognition has associated. Finally, the global reconstruction of the event is briefly addressed.
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hep-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Stress testing of fast reconstruction pipelines using machine learning
Context-aware stress testing reveals that the local assumption fails for Z→ℓℓ reconstruction at HL-LHC, producing bias and degraded resolution that an unsupervised regime-mapping framework then corrects.