scholarly journals Strange quark suppression from a simultaneous Monte Carlo analysis of parton distributions and fragmentation functions

2020 ◽  
Vol 101 (7) ◽  
Author(s):  
N. Sato ◽  
C. Andres ◽  
J. J. Ethier ◽  
W. Melnitchouk ◽  
Keyword(s):  
Monte Carlo ◽  
Strange Quark ◽  
Monte Carlo Analysis ◽  
Parton Distributions ◽  
Fragmentation Functions

scholarly journals Iterative Monte Carlo analysis of spin-dependent parton distributions

2016 ◽  
Vol 93 (7) ◽  
Author(s):  
Nobuo Sato ◽  
W. Melnitchouk ◽  
S. E. Kuhn ◽  
J. J. Ethier ◽  
A. Accardi ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Parton Distributions

scholarly journals First Monte Carlo analysis of fragmentation functions from single-inclusivee+e−annihilation

2016 ◽  
Vol 94 (11) ◽  
Author(s):  
Nobuo Sato ◽  
J. J. Ethier ◽  
W. Melnitchouk ◽  
M. Hirai ◽  
S. Kumano ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Fragmentation Functions

scholarly journals Simultaneous Monte Carlo analysis of parton densities and fragmentation functions

2021 ◽  
Vol 104 (1) ◽  
Author(s):  
E. Moffat ◽  
W. Melnitchouk ◽  
T. C. Rogers ◽  
N. Sato ◽  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Fragmentation Functions

Generation of Correlated Logistic-Normal Random Variates for Medical Decision Trees

1998 ◽  
Vol 37 (03) ◽  
pp. 235-238 ◽  
Author(s):  
M. El-Taha ◽  
D. E. Clark
Keyword(s):  
Monte Carlo ◽  
Decision Trees ◽  
Computer Algebra ◽  
Taylor Series ◽  
Computer Algebra System ◽  
Random Variable ◽  
Monte Carlo Analysis ◽  
Normal Random Variable ◽  
Medical Decision ◽  
Theoretical Results

AbstractA Logistic-Normal random variable (Y) is obtained from a Normal random variable (X) by the relation Y = (ex)/(1 + ex). In Monte-Carlo analysis of decision trees, Logistic-Normal random variates may be used to model the branching probabilities. In some cases, the probabilities to be modeled may not be independent, and a method for generating correlated Logistic-Normal random variates would be useful. A technique for generating correlated Normal random variates has been previously described. Using Taylor Series approximations and the algebraic definitions of variance and covariance, we describe methods for estimating the means, variances, and covariances of Normal random variates which, after translation using the above formula, will result in Logistic-Normal random variates having approximately the desired means, variances, and covariances. Multiple simulations of the method using the Mathematica computer algebra system show satisfactory agreement with the theoretical results.

Monte Carlo Analysis of Nonequilibrium Ionized Flows.

1996 ◽  
Author(s):  
Iain D. Boyd ◽  
Xiaoming Liu ◽  
Jitendra Balakrishnan
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis

scholarly journals Li-ion batteries for peak shaving, price arbitrage, and photovoltaic self-consumption in commercial buildings: A Monte Carlo Analysis

2021 ◽  
Vol 234 ◽  
pp. 113889
Author(s):  
Pietro Elia Campana ◽  
Luca Cioccolanti ◽  
Baptiste François ◽  
Jakub Jurasz ◽  
Yang Zhang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Commercial Buildings ◽  
Li Ion Batteries ◽  
Peak Shaving ◽  
Li Ion
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