Astronomy10 papers
LLMs in dynamical (and general) astronomy
How large language models are transforming astronomical research in celestial mechanics and dynamical astronomy.
ES
Evgeny Smirnov
All Reviews
AstronomyNiche
advanced
Compact binary systems waveform generation with a generative pretrained transformer
Shi, Ruijun et al. (2024)
- Published
- Apr 10, 2024
- Journal
- Physical Review D · Vol. 109 · No. 8
- DOI
- 10.1103/PhysRevD.109.084017
At a GlanceAI
Generative pretrained transformers are applied to produce gravitational-wave waveforms from compact binary systems.
SummaryAI
This study brings generative pretrained transformer methods to the task of producing gravitational-wave signals from compact binary systems. It connects large-language-model-style generative architectures with a central computational problem in gravitational-wave astronomy: waveform generation. The work may broaden the machine-learning toolkit for modeling compact-binary signals and motivates further evaluation of transformer-based waveform models in scientific inference pipelines.
Method SnapshotAI
Applying a generative pretrained transformer to generate compact-binary gravitational-wave waveforms.
BackgroundAI
Gravitational-wave physics, compact-binary waveform modeling, and transformer-based machine learning.