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Related papers: Learning Neural Operator Surrogates for the Black …

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Neural networks can be used as surrogates for PDE models. They can be made physics-aware by penalizing underlying equations or the conservation of physical properties in the loss function during training. Current approaches allow to…

Machine Learning · Computer Science 2022-07-01 Raphael Leiteritz , Patrick Buchfink , Bernard Haasdonk , Dirk Pflüger

We present two-dimensional general relativistic radiative magnetohydrodynamical simulations of accretion disks around non-rotating stellar-mass black hole. We study the evolution of an equilibrium accreting torus in different grid…

High Energy Astrophysical Phenomena · Physics 2024-03-26 Angelos Karakonstantakis , Debora Lančová , Włodek Kluźniak , Miljenko Čemeljić

Accretion onto supermassive black holes (BHs) can launch relativistic jets that inject energy and momentum into their surroundings. Understanding how such feedback shapes large-scale accretion is key to bridging observations from galactic…

High Energy Astrophysical Phenomena · Physics 2025-06-02 Aretaios Lalakos , Alexander Tchekhovskoy , Elias R. Most , Bart Ripperda , Koushik Chatterjee , Matthew Liska

We present a full 360 degree (i.e., 4$\pi$ steradian) general-relativistic ray-tracing and radiative transfer calculations of accreting supermassive black holes. We perform state-of-the-art three-dimensional general relativistic…

High Energy Astrophysical Phenomena · Physics 2018-11-21 Jordy Davelaar , Thomas Bronzwaer , Daniel Kok , Ziri Younsi , Monika Mościbrodzka , Heino Falcke

In this chapter, we give an overview of our current understanding of the physics of accreting massive black hole binaries (MBHBs), with a special focus on the latest developments in numerical simulations and General-Relativistic…

High Energy Astrophysical Phenomena · Physics 2024-05-24 Eduardo M. Gutiérrez , Luciano Combi , Geoffrey Ryan

We perform GR-MHD simulations of outflow launching from thin accretion disks. As in the non-relativistic case, resistivity is essential for the mass loading of the disk wind. We implemented resistivity in the ideal GR-MHD code HARM3D,…

High Energy Astrophysical Phenomena · Physics 2019-09-04 Christos Vourellis , Christian Fendt , Qian Qian , Scott Noble

When a black hole is accreting well below the Eddington rate, a geometrically thick, radiatively inefficient state of the accretion disk is established. There is a limited number of closed-form physical solutions for geometrically thick…

High Energy Astrophysical Phenomena · Physics 2018-06-20 Vojtěch Witzany , Pavel Jefremov

We describe the implementation of sophisticated numerical techniques for general-relativistic magnetohydrodynamics simulations in the Athena++ code framework. Improvements over many existing codes include the use of advanced Riemann solvers…

High Energy Astrophysical Phenomena · Physics 2019-06-25 Christopher J. White

It has long been thought that black hole accretion flows are driven by magnetohydrodynamic (MHD) turbulence, and there are now many general relativistic global simulations illustrating the dynamics of this process. However, many challenges…

High Energy Astrophysical Phenomena · Physics 2026-03-11 Chris Nagele , Julian H. Krolik , Rongrong Liu , Brooks E. Kinch , Jeremy D. Schnittman

The relativistic magnetohydrodynamics (RMHD) set of equations has recently seen increased use in astrophysical computations. Even so, RMHD codes remain fragile. The reconstruction can sometimes yield superluminal velocities in certain parts…

High Energy Astrophysical Phenomena · Physics 2016-03-23 Dinshaw S. Balsara , Jinho Kim

Computational magnetohydrodynamics (MHD) for space physics has become an essential area in understanding the multiscale dynamics of geophysical and astrophysical plasma processes, partially motivated by the lack of space data. Full MHD…

Surrogate models are critical for accelerating computationally expensive simulations in science and engineering, particularly for solving parametric partial differential equations (PDEs). Developing practical surrogate models poses…

Numerical Analysis · Mathematics 2025-06-17 Chenyu Zeng , Yanshu Zhang , Jiayi Zhou , Yuhan Wang , Zilin Wang , Yuhao Liu , Lei Wu , Daniel Zhengyu Huang

Only numerical relativity simulations can capture the full complexities of binary black hole mergers. These simulations, however, are prohibitively expensive for direct data analysis applications such as parameter estimation. We present two…

General Relativity and Quantum Cosmology · Physics 2019-10-16 Vijay Varma , Scott E. Field , Mark A. Scheel , Jonathan Blackman , Davide Gerosa , Leo C. Stein , Lawrence E. Kidder , Harald P. Pfeiffer

We introduce MENO (''Matrix Exponential-based Neural Operator''), a hybrid surrogate modeling framework for efficiently solving stiff systems of ordinary differential equations (ODEs) that exhibit a sparse nonlinear structure. In such…

Computational Physics · Physics 2025-07-22 Ivan Zanardi , Simone Venturi , Marco Panesi

Black hole-torus systems from compact binary mergers are possible engines for gamma-ray bursts (GRBs). During the early evolution of the post-merger remnant, the state of the torus is determined by a combination of neutrino cooling and…

The profound comprehension of the evolution and phenomenology of an Active Galactic Nucleus requires an accurate exploration of the dynamics of the magnetized gaseous disk surrounding the massive black hole in the centre. Many numerical…

High Energy Astrophysical Phenomena · Physics 2025-08-13 Giacomo Fedrigo , Alessandro Lupi

In magnetic confinement fusion research, the achievement of high plasma pressure is key to reaching the goal of net energy production. The magnetohydrodynamic (MHD) model is used to self-consistently calculate the effects the plasma…

We present the results of three-dimensional global resistive magnetohydrodynamic (MHD) simulations of black hole accretion flows. General relativistic effects are simulated by using the pseudo-Newtonian potential. Initial state is an…

Astrophysics · Physics 2009-11-07 Mami Machida , Ryoji Matsumoto

For linear partial differential equations with known fundamental solutions, this work introduces a novel operator learning framework that relies exclusively on domain boundary data, including solution values and normal derivatives, rather…

Machine Learning · Computer Science 2026-01-19 Haochen Wu , Heng Wu , Benzhuo Lu

In an attempt to investigate the structures of ultra-relativistic jets injected into the intracluster medium (ICM) and the associated flow dynamics, such as shocks, velocity shear, and turbulence, we have developed a new special…

High Energy Astrophysical Phenomena · Physics 2021-11-03 Jeongbhin Seo , Hyesung Kang , Dongsu Ryu , Seungwoo Ha , Indranil Chattopadhyay
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