Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow
David Dickson

TL;DR
This paper introduces TIME, a novel grid-based, code-independent method for time-domain 3D hydrodynamics simulations, applied to Roche lobe overflow, enabling efficient modeling of complex astrophysical mass transfer processes.
Contribution
We develop and test a multiscale, self-scaling time resolution method for 3D hydrodynamics, providing the first grid-based time domain model of Roche lobe overflow.
Findings
Mass transfer in M33 X-7 is unstable and fully conservative beyond f >~ 1.01.
Stable overflow occurs on nuclear timescales for f <~ 1.01.
Critical point at f ~ 1.01 terminates stable overflow.
Abstract
Context. Many critical physical processes, such as Roche lobe overflow, strain modern simulation methods due to their durations and multidimensionality. Aims. We employ a novel method of time-domain multidimensional simulations to provide the first grid-based time domain 3D model of Roche lobe overflow using VH-1. Methods. Using a piecewise approach which alternates between high-resolution 3D dynamic modeling and computationally fast evolutionary modeling, we present and test a method capable of self-scaling variable time resolution at greatly reduced computational cost. Results. We find mass transfer in the test high mass x-ray binary M33 X-7 to be unstable and fully conservative in both mass and angular momentum transport onto the accretion disk beyond f >~ 1.01. This phase begins on thermal timescales and accelerates to span < 100 yrs beyond f >= 1.1, while the non-conservative…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLattice Boltzmann Simulation Studies · Seismic Imaging and Inversion Techniques · Advanced Numerical Methods in Computational Mathematics
