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Two 2025 TESS transits of TOI-4562 b occur about 26 and 42 minutes before the central 2024 forecasts if the forecasts use TDB

We measured two TOI-4562 b transits in public TESS sectors 88 and 96. The times are BJD_TDB 2460707.93893 and 2460933.04917. They are 25.7 and 42.1 minutes earlier than the central forecasts in Fermiano et al. (2024), arXiv v1, Table 4, if the forecast BJD values use TDB. Conditional measurement error estimates are 1.7 and 1.9 minutes. Across 29 tested analysis choices, the early offsets range from 25.1 to 26.4 minutes and from 40.3 to 44.4 minutes. The measured transit interval is 225.11024 days, with a conditional error of 0.00177 day. It is 16.4 minutes shorter than the central forecast interval. Fits of three older events agree with the published times to within 1.2 minutes. These later data can help test future orbit fits. The forecast table gives no uncertainty for its future times. This result tests its central values. It does not reject a full family of companion orbits or establish a new planet. The package contains the five original light curves, source facts, code, all timing draws, results, figures, and reproduction instructions.

TOI-4562 b · TESS · transit timing · forecast test · public astronomical data · reproducible photometry

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References

10
  1. usesdoi:10.17909/t9-nmc8-f686

    We measure times from five public TESS SPOC light curves. The package identifies the exact files and hashes.

  2. usesdoi:10.48550/arXiv.2409.06924

    We test the two 2025 central times in v1, Table 4. We use Table 1 for three older timing checks and Table 2 for the primary shape.

  3. doi:10.1051/0004-6361/202451935

    This is the journal record of the forecast study. The tested table is from the stated arXiv version.

  4. usesdoi:10.3847/1538-3881/acb5a2

    The discovery study gives the eccentricity and argument of periapsis. We also test its full transit shape and TESS limb darkening.

  5. doi:10.48550/arXiv.2604.16297

    Section III.10 of v2 shows that many companion orbits fit the seven older times. Our result adds later times and keeps that limit in scope.

  6. usesdoi:10.1086/683602

    The batman code supplies the exposure-integrated transit model.

  7. usesdoi:10.1038/s41592-019-0686-2

    SciPy supplies the numerical optimization and root finding.

  8. usesdoi:10.1038/s41586-020-2649-2

    NumPy supplies arrays, linear least squares, and random sampling.

  9. usesdoi:10.3847/1538-4357/ac7c74

    Astropy reads the TESS FITS data.

  10. usesdoi:10.1109/MCSE.2007.55

    Matplotlib draws the figures.

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