搜索结果: 1-15 共查到“理论物理学 data”相关记录39条 . 查询时间(0.328 秒)
PREDICTION OF BIODIVERSITY - CORRELATION OF REMOTE SENSING DATA WITH LICHEN FIELD SAMPLES
Orthoimage Modelling Land Cover Prediction Correlation High resolution Segmentation Environment
2015/7/29
The objective of the present study was to develop a model to predict lichen species richness for six test sites in the Swiss Pre-Alps
following a gradient of land use intensity combining airborne re...
Future lq oscillation experiments and present data
Oscillation road solar energy the atmosphere micro oscillation sterile neutrinos
2014/12/23
Our goal in this paper is to examine the discovery potential of laboratory experiments searching for the oscillation lk(le)Plq, in the light of recent data on solar and atmospheric neutrino experiment...
A Neural Network based Background Supression Technique applied to VHE Gamma Ray Data coming from the Crab Pulsar
Imaging Atmospheric Cherenkov Technique Flux Upper Limit
2014/12/12
In this thesis we present new results for the 99.9% confidence level flux upper limits on the pulsed VHE gamma ray signal coming from the Crab pulsar. In order to achieve optimum hadronic background s...
Kernel based unfolding of data obtained from detectors with finite resolution and limited acceptance
unfolding kernel apparatusfunction inverseproblem regularization
2012/11/23
A kernel based procedure for correcting experimental data for distortions due to the finite resolution and limited detector acceptance is presented. The unfolding problem is known to be an ill-posed p...
A Direct Sampling Method for Inverse Scattering Using Far-Field Data
Direct Sampling Method Inverse Scattering Using Far-Field Data Mathematical Physics
2012/6/21
This work is concerned with a direct sampling method (DSM) for inverse acoustic scattering problems using far-field data. The method characterizes some unknown obstacles, inhomogeneous media or cracks...
Implicit particle methods and their connection with variational data assimilation
Implicit particle methods variational data assimilation Data Analysis Statistics and Probability
2012/5/29
The implicit particle filter is a sequential Monte Carlo method for data assimilation that guides the particles to the high-probability regions via a sequence of steps that includes minimizations. We ...
A method for filling gaps in solar irradiance and in solar proxy data
filling gaps solar irradiance solar proxy data
2011/8/17
Abstract: Data gaps are ubiquitous in spectral irradiance data, and yet, little effort has been put into finding robust methods for filling them. We introduce a data-adaptive and nonparametric method ...
Inverse Ising inference using all the data
Inverse Ising inference data logistic regression
2011/8/17
Abstract: We show that a method based on logistic regression, using all the data, solves the inverse Ising problem far better than mean-field calculations relying only on sample pairwise correlation f...
Reconstructing signals from noisy data with unknown signal and noise covariance
statistics information theory statistical mechanics
2011/8/17
Abstract: We derive a method to reconstruct Gaussian signals from linear measurements with Gaussian noise. This new algorithm is intended for applications in astrophysics and other sciences. The start...
Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole Pride 26 Data
Data Assimilation Particle Filter Chem-BioField Test Dispersion Model
2011/8/16
Abstract: This paper presents the application of a particle filter for data assimilation in the context of puff-based dispersion models. Particle filters provide estimates of the higher moments, and a...
Non-commutative tomography: A tool for data analysis and signal processing
Non-commutative tomography data analysis signal processing
2011/8/2
Abstract: Tomograms, a generalization of the Radon transform to arbitrary pairs of non-commuting operators, are positive bilinear transforms with a rigorous probabilistic interpretation which provide ...
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...
Evaluating Data Assimilation Algorithms
Evaluate Data Assimilation Algorithms assimilation refers
2011/8/5
Abstract: Data assimilation refers to methodologies for the incorporation of noisy observations of a physical system into an underlying model in order to infer the properties of the state of the syste...
Asymptotic simplicity and static data
General Relativity asymptotic structure spatial infinity
2010/12/20
The present article considers time symmetric initial data sets for the vacuum Einstein field equations which in a neighbourhood of infinity have the same massless part as that of some static initial d...
Staggered chiral perturbation theory in the two-flavor case and SU(2) analysis of the MILC data
Staggered chiral perturbation theory two-flavor case SU(2) analysis of the MILC data
2011/1/13
In the light pseudoscalar sector, we study rooted staggered chiral perturbation theory in the
two-flavor case. The pion mass and decay constant are calculated through NLO for a partiallyquenched theo...