The error budget of binary neutron star merger simulations for configurations with high spin
Hao-Jui Kuan, Ivan Markin, Maximiliano Ujevic, Tim Dietrich, Kenta Kiuchi, Masaru Shibata, Wolfgang Tichy

TL;DR
This paper evaluates the uncertainties in numerical simulations of high-spin binary neutron star mergers, identifying the dominant sources of error and comparing numerical waveforms with analytical models to improve gravitational wave predictions.
Contribution
It provides a comprehensive error budget for high-spin binary neutron star merger simulations and highlights the main sources of numerical uncertainties affecting gravitational waveform accuracy.
Findings
Evolution code is the primary source of waveform uncertainty.
Initial data solver has a smaller impact on uncertainties.
Discrepancies between numerical and analytical waveforms exceed estimated numerical errors.
Abstract
Numerical-relativity simulations offer a unique approach to investigating the dynamics of binary neutron star mergers and provide the most accurate predictions of waveforms in the late inspiral phase. However, the numerical predictions are prone to systematic biases originating from the construction of initial quasi-circular binary configurations, the numerical methods used to evolve them, and to extract gravitational signals. To assess uncertainties arising from these aspects, we analyze mergers of highly spinning neutron stars with dimensionless spin parameter . The initial data are prepared by two solvers, \textsc{FUKA} and \textsc{SGRID}, which are then evolved by two independent codes, \textsc{SACRA} and \textsc{BAM}. We assess the impact of numerical discretizations, finite extraction radii, and differences in numerical frameworks on the resulting gravitational…
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
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements
