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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 C1.

Combining RXTE and MAXI data of 4U 1705-44. Top: the “overlap” section where both RXTE and MAXI are active (MJD 55045–55434). MAXI data (red) has been scaled to best match the RXTE data (black), taking into account the flux and errors of both instruments using orthogonal distance regression. Bottom: combined and scaled dataset, spanning the entire range of RXTE and MAXI.

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