Ten starts per transit change the TOI-270 d width contrast from 2.6 to 8.0 minutes under a fixed template and weights in seven TESS sectors
We fit 45 TOI-270 c and d transits in seven public TESS sectors from 2018, 2020, and 2025–26. Ten starts per transit change the estimated 2018 to 2025–26 width difference for d from +2.63 to +8.04 min. The data, reference template, event selection, and event weights stay fixed. One late d transit changes from 126.7 to 144.9 min, with chi-square lower by 9.76. The reference estimate for c changes only from +1.83 to +1.68 min. The three audited d shapes give contrasts from +7.30 to +8.04 min. This reduces the original spread across those shapes from 5.98 to 0.74 min. Thus fit solution choice explains much of the original apparent shape dependence. No new error intervals were computed for the audited estimates. The original reference 95% residual-block intervals include zero for both planets, but they describe the specified local-fit procedure. They do not include all fit solutions or geometry uncertainty. The finite search is not a proof of a global minimum or a physical duration change. We release all 750 trial fits, original fits, selection decisions, source FITS files and hashes, code, noise simulations, and figures.
TOI-270 · TESS · transit duration · transit timing variations · residual bootstrap · public data · reproducible astronomy
References
13- usesFixed 1102-day timing waves reduce forecast errors for TOI-270 c and d in TESS sectors 97 and 98 sci:sha256:dee9170742a14614b35e27dc6c8d6e5bc6d6583e620d86de170737f69c7ada78
This signed study supplied seven original TESS FITS files, archive records, and the initial transit shape recipe.
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TESS light curves from MAST supply the public flux data.
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Table 3 supplies the reference geometry and nominal ephemerides. The paper also establishes known timing changes.
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This paper reports the three known planets in the system.
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This timing catalog excludes duration tests from its stated scope. We do not use its numerical measurements.
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The batman software computes the intrinsic transit flux.
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SciPy provides the scalar least-squares optimizer and numerical integration tools.
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Astropy reads and checks the FITS data.
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NumPy provides the numerical arrays and random draws.
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pandas provides the data tables.
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Matplotlib produces the figures.
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This review gives background on timing and duration changes.
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This study gives background on current observations of TOI-270 d. We do not use its atmospheric data.
Cited by
1 publicationPublic catalog entries on Sciscape.
- A free common timing wave fits 51 published TESS times for TOI-270 c and d with a period near 1110 days
This separate study shows sensitivity of transit-width fits for the same TESS light curves. It provides context for fixed-template limits, not a timing-error calibration.