Electromagnetic Observables of Weakly Collisional Black Hole Accretion
Vedant Dhruv, Ben Prather, Mani Chandra, Abhishek V. Joshi, Charles F. Gammie
TL;DR
This work addresses the discrepancy between observed variability in horizon-scale emission from LLAGN and predictions from ideal GRMHD by introducing an Extended GRMHD (EGRMHD) framework that includes Braginskii-like heat conduction and pressure anisotropy. Implemented in KHARMA, the model is applied to MAD and SANE accretion flows around a nonspinning and a rapidly spinning black hole, with synthetic horizon-scale images and spectra generated via ipole and igrmonty. The key finding is that time-averaged images and spectra are largely unchanged relative to ideal GRMHD, but 230 GHz light curves from weakly collisional models show reduced variability, particularly in MAD configurations. This reduction likely stems from weaker turbulent activity and limits on pressure anisotropy imposed by kinetic instabilities, suggesting a path toward reconciling EHT observations with fluid models and motivating future two-fluid or PIC-calibrated closures for electron physics.
Abstract
The black holes in the Event Horizon Telescope sources Messier 87* and Sagittarius A* (SgrA*) are embedded in a hot, collisionless plasma that is fully described in kinetic theory yet is usually modeled as an ideal, magnetized fluid. In this Letter, we present results from a new set of weakly collisional fluid simulations in which leading order kinetic effects are modeled as viscosity and heat conduction. Consistent with earlier, lower-resolution studies, we find that overall flow dynamics remain very similar between ideal and non-ideal models. For the first time, we synthesize images and spectra of SgrA* from weakly collisional models -- assuming an isotropic, thermal population of electrons -- and find that these remain largely indistinguishable from ideal fluid predictions. However, most weakly collisional models exhibit lower light curve variability, with all magnetically dominated models showing a small but systematic decrease in variability.
