Nonlinear analysis of gravitational wave signals based on recurrence quantification analysis

Recurrence Quantification Analysis of Nonlinear Dynamical Systems

Analysis of Gravitational Wave Signals on Heterogeneous Architectures

Heterogeneous architectures and programming techniques will be very important in the development of exascale HPC applications. Adapting heterogeneous programming techniques to scientific programming is not always straightforward. Here we present an in-depth analysis of an astrophysical application used for performing an all-sky coherent search for periodic signals of gravitational waves in narr...

Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals.

The complexity, nonlinearity and nonstationarity of the cardiovascular system typically defy comprehensive and deterministic mathematical modeling, except from a statistical perspective. Living systems are governed by numerous, continuously changing, interacting variables in the presence of noise. Cardiovascular signals can be shown to be discontinuous alternations between deterministic traject...

Data Analysis of Gravitational Wave Signals from Coalescing Binaries

In this lecture I shall be dealing with the techniques of Data analysis which will be used to extract the gravitational wave signal from the noisy output of the gravitational wave detector. The inspiral of binary systems consisting of compact objects such as black-holes and neutron stars can be well modelled. The knowledge of the signal waveform enables us to design detection strategies which a...

Investigation of Nonlinear Pupil Dynamics by Recurrence Quantification Analysis

Pupil is controlled by the autonomous nervous system (ANS). It shows complex movements and changes of size even in conditions of constant stimulation. The possibility of extracting information on ANS by processing data recorded during a short experiment using a low cost system for pupil investigation is studied. Moreover, the significance of nonlinear information contained in the pupillogram is...