Intelligent Analysis in Supernovae Gravitational Waves: Modelling with Markov Chain Monte Carlo, Principal Component Analysis and Bayesian Nets - Image 1

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LAP Lambert Academic Publishing Intelligent Analysis in Supernovae Gravitational Waves: Modelling with Markov Chain Monte Carlo, Principal Component Analysis and Bayesian Nets

Name: Intelligent Analysis in Supernovae Gravitational Waves: Modelling with Markov Chain Monte Carlo, Principal Component Analysis and Bayesian Nets
Brand: LAP Lambert Academic Publishing
Price: 64.0 GBP
Availability: InStock

Physics

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Gravitational waves are weak propagations of spacetime energy containing crucial astrophysical information on some of the most energetic events in the universe, such as black hole mergers and supernovae. In this study, Bayesian modelling is used for estimating complex sinusoidal waveforms from supernovae, utilising variants of Markov Chain Monte Carlo (MCMC) simulations to estimate these waveforms. Principal Component Analysis (PCA) combined with regression, and artificial intelligence techniques, specifically the use of causal structure discovery algorithms, are used to identify the correct selection of PC components for intelligent analysis. To facilitate causal structure discovery, an alternative expression of individual waveform structure must be determined, and Waveform Population Gradients (WPGs) was specifically developed to represent each possible waveform structure. An artificial intelligence model known as a Bayesian network is developed to perform classification of waveform structures and probabilistic inference of complex supernovae models. These developments are useful for advancing intelligent analysis in gravitational wave studies, astrophysics and beyond.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3659121649
Category: Books > Subjects > Science, Nature & Maths > Physics
Domain: Amazon UK
Release Date: 18 May 2012
Listed Since: 21 May 2012

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LAP Lambert Academic Publishing Intelligent Analysis in Supernovae Gravitational Waves: Modelling with Markov Chain Monte Carlo, Principal Component Analysis and Bayesian Nets

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LAP Lambert Academic Publishing Intelligent Analysis in Supernovae Gravitational Waves: Modelling with Markov Chain Monte Carlo, Principal Component Analysis and Bayesian Nets

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