COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Institute of Astronomy Colloquia > A New Method of Determining Black Hole Spin and Accretion Disk Properties for Supermassive and Stellar-mass Black Holes
A New Method of Determining Black Hole Spin and Accretion Disk Properties for Supermassive and Stellar-mass Black HolesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Dominic Walton. Black hole systems, consisting of a black hole, accretion disk, and collimated outflow, will be discussed. Three samples of active galactic nuclei (AGN), including 756 AGN , and 102 measurements of four stellar-mass galactic black holes (GBHs) will be considered. General expressions will be derived and applied to obtain the black hole spin function, spin, and accretion disk magnetic field strength in dimensionless and physical units for each source. Relatively high spin values are obtained. The distributions of accretion disk magnetic field strengths for the three AGN samples are quite broad and have mean values of about 10 kG, while those for stellar-mass GBHs have mean values of about 100 MG. Reasonable agreement is found between spin values obtained here and published values obtained with a well-established method. Black hole spin and disk magnetic field strength demographics indicate that black hole spin functions, spins, and disk magnetic field strengths are similar for the AGN source types studied. Mass accretion rates are obtained in dimensionless and physical units using a new method. The results and implications of these studies will be discussed. This talk is part of the Institute of Astronomy Colloquia series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsUniversity of Pennsylvania Seminar SciComp@Cam: Scientific Computing in Cambridge Climate changeOther talksWelcome back meeting - plant display and social evening Neuroscience informed treatments for anxiety and depression “It’s how you think, not what you think about”: a Career Spent at Interfaces Amazon UK: Tech Talk Neuro-oncology Seminar Jan 2021 Determining the age of Barrett’s esophagus using stochastic multiscale modeling and epigenetic clocks |