Magnetic Reconnection in Low-Luminosity Accretion Flows: From Microphysical Simulations to Large-Scale Models
Publisher
The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Abstract
Recent observations of low luminosity accretion flows, such as Sgr A*, reveal significant multiwavelength variability with properties that have not been fully explained. In the first part of this dissertation, I develop a model for understanding the origin of X-ray flares from Sgr A* using GRMHD simulations coupled to radiative transfer calculations that take into account the emission from non-thermal electrons, localized in regions where we expect acceleration processes to accelerate electrons to highly relativistic energies. I then explore whether magnetic reconnection may be a viable candidate for accelerating these high-energy electrons by quantifying the properties of current sheets that form self-consistently in GRMHD simulations. After finding that many current sheets are indeed present in the best-fit models for the accretion flow around Sgr A*, I perform a suite of PIC simulations of magnetic reconnection with the initial plasma conditions informed by those we found in the vicinity of current sheets in GRMHD simulations. In this study, I focus on understanding the electron acceleration efficiency and associated power-law index of the non-thermal distribution as a function of two key plasma parameters, the magnetization $\sigma$ and the plasma-$\beta$, and provide an empirical prescription for the non-thermal distribution to be used as subgrid physics in large-scale models of accretion flows that calculate observables. Finally, I explore in more detail the underlying physical mechanisms responsible for high-energy electron acceleration and develop a variety of diagnostics for probing the competing effects.Type
textElectronic Dissertation
Degree Name
Ph.D.Degree Level
doctoralDegree Program
Graduate CollegeAstronomy