Irregularly Sampled Time Series Interpolation for Binary Evolution Simulations Using Dynamic Time Warping

Wed, 15 Apr 2026 00:00:00 +0000

Ugur Demir, Philipp M Srivastava, Aggelos K. Katsaggelos, Vicky Kalogera, Santiago L Tapia, Manuel Ballester, Shamal Lalvani, Patrick Koller, Jeff J Andrews, Seth Gossage, Max M Briel, and Elizabeth Teng

Abstract

This research addresses the computational bottleneck of population synthesis by introducing a robust interpolation scheme for binary stars. Unlike single-star evolution, binary tracks are often irregularly sampled and plagued by misaligned evolutionary phases due to mutual interactions.

By employing Dynamic Time Warping (DTW), we generate a joint alignment that preserves the underlying microphysics across the entire track, enabling the rapid generation of high-fidelity binary models for large-scale simulations like POSYDON.

BibTeX Citation

@misc{demir2026irregularlysampledtimeseries,
 title={Irregularly Sampled Time Series Interpolation for Binary Evolution Simulations Using Dynamic Time Warping},
 author={Ugur Demir and Philipp M. Srivastava and Aggelos Katsaggelos and Vicky Kalogera and Santiago L. Tapia and Manuel Ballester and Shamal Lalvani and Patrick Koller and Jeff J. Andrews and Seth Gossage and Max M. Briel and Elizabeth Teng},
 year={2026},
 eprint={2604.13604},
 archivePrefix={arXiv},
 primaryClass={astro-ph.SR},
 url={https://arxiv.org/abs/2604.13604},
}

Dynamic Time Warping | Patrick Koller

Irregularly Sampled Time Series Interpolation for Binary Evolution Simulations Using Dynamic Time Warping

Abstract

BibTeX Citation