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Learning and Predicting the Nonlinear Variability of X-Ray Binaries with the Koopman Operator

  • Authors: Eric Miao, Ruo-Yu Shang, Kaya Mori, Reshmi Mukherjee

Eric Miao et al 2026 The Astrophysical Journal Supplement Series 286 .

  • Provider: AAS Journals

Caption: Figure 5.

(Top panels) The Duffing oscillator time-series data injected with a measurement noise level of σ = 0. The left panel shows the training data (solid black curve) stopped at the blue vertical line before the sharp turning point, and the right panel shows the training data stopped after the sharp turning point. (Middle panels) The Duffing oscillator time-series data injected with a measurement noise level of σ = 0.1. (Bottom panels) The Duffing oscillator time-series data injected with a measurement noise level of σ = 0.2. The red curves show predictions for future time-series data.

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