Seminars and Colloquia
Physics
Dynamics from Data
Mon, Mar 26, 2018,
04:20 PM
at Physics Seminar Room 31, 2nd Floor, Main Building
Prof. G Ambika
IISER Pune
Abstract: Many of real world systems are highly complex with little or no apriori information about the relevant variables or required parameters. Hence to understand their dynamics, we have to depend mostly on measurements of or observations of their average responses over time. These measured /observational data come as a sequence of values at intervals, called time series; a few typical examples are sunspot data, variable star data, x-ray variability of black holes, distribution of matter in universe, climate or rainfall data, earth quake data, EEG, ECG, financial market data, output of agricultural crops, gene expression data etc.
In my talk, I will discuss how we use the techniques of nonlinear time series analysis, especially multi fractal analysis and recurrence networks, to detect nontrivial structures in time series data by computing a set of useful measures. Such measures can characterize the nature of underlying dynamics that produce the data. I will present the recent results of our research in these directions.
