The influence of model parameters on the prediction of gravitational wave signals from stellar core collapse
S. Scheidegger, R. Kaeppeli, S. C. Whitehouse, T. Fischer, M., Liebendoerfer

TL;DR
This study analyzes how different model parameters, including rotation, magnetic fields, and equations of state, influence gravitational wave signals from 3D core-collapse supernova simulations, highlighting the importance of neutrino physics for accurate predictions.
Contribution
It provides a comprehensive analysis of the effects of various physical parameters on GW signals in 3D supernova models, emphasizing the role of neutrino physics and magnetic fields.
Findings
Weak magnetic fields have little impact on GW emission.
Strong magnetic fields can lead to jet-like explosions and type IV GW signals.
Including deleptonization significantly alters GW amplitude predictions.
Abstract
We present the gravitational wave (GW) analysis of an extensive series of 3D MHD core-collapse simulations. Our 25 models are launched from a 15 solar mass progenitor, a spherically symmetric effective general relativistic potential, the Lattimer-Swesty or the Shen equation of state (EoS), and a neutrino parametrisation scheme which is accurate until about 5ms postbounce. For 3 representative models, we also include long-term neutrino physics by means of a leakage scheme. Non- or only slowly rotating models show GW emission due to prompt and proto-neutron star convection, allowing the distinction between the two different nuclear EoS. For moderately or fast rotation rates models, we find, in agreement with recent results, only a type I GW signature at core bounce. Models which are set up with an initial central angular velocity of >~ 2pi rad/s emit GWs due to the low T/|W| dynamical…
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.
