Difficulty of extracting energy loss probability distributions fromRAA
نویسندگان
چکیده
منابع مشابه
Probability distributions of turbulent energy.
Probability density functions (PDFs) of scale-dependent energy fluctuations, P[deltaE(l)] , are studied in high-resolution direct numerical simulations of Navier-Stokes and incompressible magnetohydrodynamic (MHD) turbulence. MHD flows with and without a strong mean magnetic field are considered. For all three systems it is found that the PDFs of inertial range energy fluctuations exhibit self-...
متن کاملProbability Distributions and Variances of Quadratic Loss Functions
The use of quadratic loss functions has been advocated in quality engineering and experimental design for process optimization and robust design. We derive theoretical density functions and variances for nominal-the-best, smaller-the-better, and larger-the-better quadratic loss functions in general and when the response variable has a specified distribution. While considerable attention has bee...
متن کاملSkewness of energy-loss straggling and multiple-scattering energy distributions
Energy spread distributions due to electronic energy-loss straggling and multiple small-angle scattering of swift ions in matter are approximated by asymmetric Gaussian functions consisting of two-piece normal distributions. These skewed energy distributions approximate the distributions more accurately than the conventional approximation by Gaussian functions. The results are compared to exper...
متن کاملConflations of Probability Distributions
The conflation of a finite number of probability distributions P1, . . . , Pn is a consolidation of those distributions into a single probability distribution Q = Q(P1, . . . , Pn), where intuitively Q is the conditional distribution of independent random variables X1, . . . ,Xn with distributions P1, . . . , Pn, respectively, given that X1 = · · · = Xn. Thus, in large classes of distributions ...
متن کاملApproximability of Probability Distributions
We consider the question of how well a given distribution can be approximated with probabilistic graphical models. We introduce a new parameter, effective treewidth, that captures the degree of approximability as a tradeoff between the accuracy and the complexity of approximation. We present a simple approach to analyzing achievable tradeoffs that exploits the threshold behavior of monotone gra...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physical Review C
سال: 2008
ISSN: 0556-2813,1089-490X
DOI: 10.1103/physrevc.77.017901