Spectral transitions in X-ray Binaries
arXiv:astro-ph/0403546 · doi:10.1143/PTPS.155.9
Abstract
We systematically analyzed about a terabyte of data from Galactic binary systems to characterize how these spectra change as a function of mass accretion rate. With this volume of data we are able to identify the differences in behaviour of black holes and neutron stars, implying that black holes really do have an event horizon. The spectral evolution seen as a function of L/L_Edd can be linked to current state-of-the-art numerical simulations of accretion flows, and we develop qualitative and quantitative models of the spectral changes in all types of binary systems. The key ingredient of this picture is that the major hard-soft spectral transition is driven by a changing inner radius of the accretion disc. This also qualitatively explains the changes seen in the variability power spectra of these objects. This lays the foundation for a self-consistent, theoretically motivated framework in which to explain both the spectral and timing properties of accreting compact objects.
Proceedings of the conference "Stellar-mass, intermediate-mass, and supermassive black holes", Kyoto, October 2003
Cited by in corpus (11)
- Global Structure of Three Distinct Accretion Flows and Outflows around Black Holes through Two-Dimensional Radiation-Magnetohydrodynamic Simulations
- X-ray spectral transitions of black holes from RXTE All-Sky Monitor
- Angular Momentum Transport in Accretion Disks and its Implications for Spin Estimates in Black Hole Binaries
- Spectral variability in Cygnus X-3
- A Spectral Study of the Black Hole Candidate XTE J1752-223 in the High/Soft State with MAXI, Suzaku and Swift
- Ultraluminous X-ray Sources Powered by Radiatively Efficient Two-Phased Super-Eddington Accretion onto Stellar Mass Black holes
- A changing inner radius in the accretion disc of Q0056-363?
- NGC300 X-1 and IC10 X-1: a new breed of black hole binary?
- Radiative Flow in a Luminous Disk
- Modelling the energy dependencies of X-ray quasi-periodic oscillations in accreting compact objects
- QPOML: A Machine Learning Approach to Detect and Characterize Quasi-Periodic Oscillations in X-ray Binaries