Testing and improving the numerical accuracy of the NLO predictions

被引：6
|
作者：
Pittau, R. [1 ,2 ]
机构：
[1] Univ Granada, Dept Fis Teor & Cosmos, E-18971 Granada, Spain
[2] Univ Granada, CAFPE, E-18971 Granada, Spain
来源：
COMPUTER PHYSICS COMMUNICATIONS | 2010年 / 181卷 / 12期
关键词：
NLO; QCD; Electroweak corrections; OPP; Generalized unitarity; ONE-LOOP AMPLITUDES; UNITARITY;
D O I：
10.1016/j.cpc.2010.09.013
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
I present a new and reliable method to test the numerical accuracy of NLO calculations based on modern OPP/Generalized Unitarity techniques. A convenient solution to rescue most of the detected numerically inaccurate points is also proposed. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：1941 / 1946
页数：6
相关论文
共 50 条
  • [31] Improving numerical simulations of Preisach models for accuracy and speed
    Alejos, O
    Della Torre, E
    IEEE TRANSACTIONS ON MAGNETICS, 2000, 36 (05) : 3102 - 3104
  • [32] A method for improving the accuracy of numerical simulations of a photovoltaic panel
    Sohani, Ali
    Sayyaadi, Hoseyn
    Doranehgard, Mohammad Hossein
    Nizetic, Sandro
    Li, Larry K. B.
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2021, 47
  • [33] Improving and testing geochemical speciation predictions of metal ions in natural waters
    Ahmed, Imad A. M.
    Taylor, John Hamilton
    Bieroza, Magdalena
    Zhang, Hao
    Davison, William
    WATER RESEARCH, 2014, 67 : 276 - 291
  • [34] Improving the accuracy of predictions in multivariate time series using dynamic vine copulas
    Sheikhi, Ayyub
    Dalla Valle, Luciana
    Mesiar, Radko
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2024, 53 (7-8) : 1146 - 1160
  • [35] Improving accuracy of host load predictions on computational grids by artificial neural networks
    Truong Vinh Truong Duy
    Sato, Yukinori
    Inoguchi, Yasushi
    INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS, 2011, 26 (04) : 275 - 290
  • [36] Improving Accuracy of Host Load Predictions on Computational Grids by Artificial Neural Networks
    Duy, Truong Vinh Truong
    Sato, Yukinori
    Inoguchi, Yasushi
    2009 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-5, 2009, : 1176 - +
  • [37] Mutant Accuracy Testing for Assessing the Implementation of Numerical Algorithms
    Wu, Ruining
    Mitchell, Ian M.
    NUMERICAL SOFTWARE VERIFICATION, 2019, 11652 : 128 - 144
  • [38] Testing the accuracy and stability of spectral methods in numerical relativity
    Boyle, Michael
    Lindblom, Lee
    Pfeiffer, Harald P.
    Scheel, Mark A.
    Kidder, Lawrence E.
    PHYSICAL REVIEW D, 2007, 75 (02):
  • [39] ACCURACY TESTING OF NUMERICAL-SOLUTIONS TO INFILTRATION EQUATION
    KUIPER, LK
    TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1978, 59 (04): : 281 - 281
  • [40] Numerical NLO QCD calculations
    Sebastian Becker
    Christian Reuschle
    Stefan Weinzierl
    Journal of High Energy Physics, 2010
12345