Irregularly Sampled Time Series Interpolation for Detailed Binary Evolution Simulations

TL;DR

This paper introduces an interpretable method for interpolating irregularly sampled binary star evolution data, enabling detailed time series generation for population synthesis and addressing challenges with complex signal morphologies.

Contribution

The paper presents a novel interpolation technique for binary evolution tracks that handles irregular sampling and complex signal features, improving simulation accuracy.

Findings

Effective interpolation of irregularly sampled binary evolution data.

Suitable for binary population synthesis applications.

Addresses challenges with signals exhibiting discontinuities.

Abstract

Modeling of large populations of binary stellar systems is an intergral part of a many areas of astrophysics, from radio pulsars and supernovae to X-ray binaries, gamma-ray bursts, and gravitational-wave mergers. Binary population synthesis codes that employ self-consistently the most advanced physics treatment available for stellar interiors and their evolution and are at the same time computationally tractable have started to emerge only recently. One element that is still missing from these codes is the ability to generate the complete time evolution of binaries with arbitrary initial conditions using pre-computed three-dimensional grids of binary sequences. Here we present a highly interpretable method, from binary evolution track interpolation. Our method implements simulation generation from irregularly sampled time series. Our results indicate that this method is appropriate for applications within binary population synthesis and computational astrophysics with time-dependent simulations in general. Furthermore we point out and offer solutions to the difficulty surrounding evaluating performance of signals exhibiting extreme morphologies akin to discontinuities.