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Nonparametric model reconstruction for stochastic differential equation from discretely observed time-series data
Nonparametric model reconstruction stochastic differential equation discretely observed time-series data
2011/8/2
Abstract: We develop a scheme for estimating state-dependent drift and diffusion coefficients in a stochastic differential equation from a time-series data. There is no need to have any prior knowledg...
LambdaCDM epoch reconstruction from F(R,G) and modified Gauss-Bonnet gravities
Gauss-Bonnet gravities LambdaCDM epoch F(R,G)
2010/3/18
Dark energy cosmology is considered in a modified Gauss-Bonnet model of gravity with and without a scalar field. It is shown that these generalizations of General Relativity endow it with a very rich ...
Primary vertex reconstruction based on the Kalman filter technique at BESⅢ
primary vertex Kalman method BESⅢ
2009/12/24
Primary vertex reconstruction is crucial to estimate the beam profile in collision experiments. We study the principle of an iterative process, called the Kalman filter method, and apply it to primary...