Two-dimensional simulations of solar-like models with artificially enhanced luminosity -- I. Impact on convective penetration
I. Baraffe, J. Pratt, D. G. Vlaykov, T. Guillet, T. Goffrey, A. Le, Saux, T. Constantino

TL;DR
This study uses 2D simulations to examine how artificially increasing luminosity in solar-like models affects convective penetration, revealing that such modifications influence overshooting depth and plume dynamics, with implications for stellar modeling accuracy.
Contribution
It demonstrates the effects of artificially enhanced luminosity and thermal diffusivity on convective overshooting in solar-like models, highlighting potential biases in numerical simulations.
Findings
Overshooting depth increases with energy input enhancement.
Penetrative downflows induce local heating and thermal mixing.
Artificial modifications can alter the overshooting layer width.
Abstract
We perform 2D, fully compressible, time-implicit simulations of convection in a solar-like model with the MUSIC code. Our main motivation is to explore the impact of a common tactic adopted in numerical simulations of convection that use realistic stellar conditions. This tactic is to artificially increase the luminosity and to modify the thermal diffusivity of the reference stellar model. This work focuses on the impact of these modifications on convective penetration (or overshooting) at the base of the convective envelope of a solar-like model. We explore a range of enhancement factors for the energy input and confirm the increase in the characteristic overshooting depth with the increase in the energy input. Our results highlight the importance of the impact of penetrative downflows on the thermal background below the convective boundary. This is a result of compression and shear…
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.
