Diffusion Entropy as a tool for time-intermittent events: complexity in flares, bursts, and jets
Abstract
I plan to present the exploration of diffusion entropy as an analysis tool of the complexity of intermittent astronomical events monitored throughout time. The focus is finding events that follow a nonlinear inverse power law relationship, in the context of the time domain of astronomical variability. Complexity can be well described by the slope of the waiting time distribution of events, μ, when its slope is between μ = 1 and μ = 3, a describing the emergent properties attributed to a system at the critical transition between order and disorder. Systems in this range include but are not limited to earthquakes, financial markets, social systems, brain dynamics, and music. Astronomical events could be, for instance: the inter-event times of quakes, sunspots, flares, etc. Diffusion entropy is a tool that was previously used to examine time series data of solar flare rates with the resulting complexity index of the crucial events yielding μ≈2. Thus, it is conjectured that other intermittent events of astronomical origin could yield similar complexity including the jets of BL Lac active galactic nuclei, characterized by large-amplitude flux variability.
- Publication:
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American Astronomical Society Meeting Abstracts #235
- Pub Date:
- January 2020
- Bibcode:
- 2020AAS...23510925P