ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Vegas Monte Carlo×Matricas elementu metode×PDF pielāgošana×
NozareDaļiņu fizikaDaļiņu fizikaDaļiņu fizika
SaimeProcess / pipelineProcess / pipelineProcess / pipeline
Izcelsmes gads197819881969
AutorsPeter LepageK. KondoJames Bjorken and collaborators
TipsAdaptive sampling algorithmProbability calculation frameworkQCD framework
PirmavotsLepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203. DOI ↗Kondo, K. (1988). Dynamical likelihood method for reconstruction of events produced by the top-quark pair in the lepton + jets channel at hadron colliders. Journal of the Physical Society of Japan, 57(12), 4126–4140. link ↗Bjorken, J. D. (1969). Asymptotic sum rules at infinite momentum. Physical Review, 179(5), 1547. DOI ↗
Citi nosaukumiVEGAS algorithm, adaptive importance sampling, multidimensional integrationMEM, matrix element calculation, amplitude evaluationPDF, structure function, parton model
Saistītās333
KopsavilkumsVEGAS is an adaptive Monte Carlo algorithm for numerical integration of multidimensional functions, particularly useful for high-dimensional integrals common in particle physics calculations. By adaptively refining the sampling distribution to concentrate points in high-contribution regions, VEGAS dramatically improves integration efficiency compared to naive Monte Carlo.The Matrix Element Method (MEM) is a powerful analysis technique that leverages quantum field theory amplitudes to extract maximum physics information from individual events. By comparing observed detector signatures to predictions from matrix elements, MEM provides unbiased, model-independent measurements with excellent theoretical precision and sensitivity to new physics.Parton Distribution Function (PDF) fitting is the process of determining the probability distributions of quarks and gluons inside hadrons using high-energy collision data. PDFs are fundamental inputs to all hadron collider phenomenology, essential for predicting cross-sections, designing triggers, and interpreting new physics searches at the Large Hadron Collider.
ScholarGateDatu kopa
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 3 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Vegas Monte Carlo · Matrix Element Method · PDF Fitting. Izgūts 2026-06-19 no https://scholargate.app/lv/compare