ScholarGate
Asisten

Bandingkan metode

Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.

Fitting Fungsi Distribusi Parton (PDF)×Vegas Monte Carlo×
BidangFisika PartikelFisika Partikel
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19691978
PencetusJames Bjorken and collaboratorsPeter Lepage
TipeQCD frameworkAdaptive sampling algorithm
Sumber perintisBjorken, J. D. (1969). Asymptotic sum rules at infinite momentum. Physical Review, 179(5), 1547. DOI ↗Lepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203. DOI ↗
AliasPDF, structure function, parton modelVEGAS algorithm, adaptive importance sampling, multidimensional integration
Terkait33
RingkasanParton 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.VEGAS 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.
ScholarGateSet data
  1. v1
  2. 3 Sumber
  3. PUBLISHED
  1. v1
  2. 3 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: PDF Fitting · Vegas Monte Carlo. Diakses 2026-06-18 dari https://scholargate.app/id/compare