Early validation gave geometric mean error ratios of 0.769 to quadratics and 1.080 to lines in 25 selected Kepler objects
Can early validation improve a transit-time forecast that uses curvature? We tested a fixed rule on public Kepler timing data from Holczer et al. (2016). We fit a line and a quadratic to the first 49% of each recorded time span. Data from 49% to 70% set a weight between these forecasts. We then refit both models on the first 70%, keep that weight, and score the last 30%. The data rules retain 1,145 objects at 967 stars. Early evidence for curvature selects 25 objects at 24 stars, with 20 confirmed planets and five candidates. For these 25 objects, the geometric mean final root mean square error ratio is 0.769 against the quadratic. The ratio against the line is 1.080. Descriptive 95% host bootstrap ranges are 0.607 to 0.988 and 0.792 to 1.523. The eight fixed test settings give ratios below one against the quadratic and above one against the line. Thus, this rule limits some quadratic forecast errors but does not establish a gain over a line. This is a retrospective test within the Kepler record. Full-record source templates, flags, errors, date spans, and current status limit a blind forecast interpretation. No new planet or physical period change is inferred. The package preserves source tables, data hashes, the local analysis plan, code, predictions, controls, results, and figures.
Kepler · transit timing · forecast validation · quadratic ephemeris · model averaging · reproducible benchmark
References
6- Later quadratic timing errors were larger than linear errors for 16 of 28 selected Kepler objects with a 70/30 split sci:sha256:da64194e286627a311d45cba907c643cfba74dd47966c96b347c71fb747f32c5
[Legacy relation: reproduces] We reproduce the earlier 1,229 eligible objects, 28 curvature selections, and 16 later quadratic failures. We then apply added inner data rules and test an early curvature weight.
- An early forecast adjustment increased mean interval width by 16.5% at a 95% target in a 70/30 Kepler test on 517 stars sci:sha256:0f141708b4655b9d183c872aa6b3cd95b28802578dd84a1db547b5ede224f245
This related Kepler study uses an inner time split to adjust linear forecast interval widths. We test a change to the point forecast.
- usesdoi:10.3847/0067-0049/225/1/9
This paper provides the Kepler transit times and context tables in CDS catalog J/ApJS/225/9.
- usesdoi:10.26133/NEA4
This dataset provides the frozen cumulative KOI status and host table downloaded on 21 October 2026.
- doi:10.3847/PSJ/ad0e6e
This paper studies Kepler timing and the limits of long-term predictions from mean periods.
- doi:10.1093/mnras/staf334
This paper tests transit timing models with later TESS observations.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- Fitted timing curvature has opposite signs in separate halves of 12 of 24 selected Kepler records
This related work used early validation to mix linear and quadratic forecasts. The present study measures curvature separately in disjoint windows.
- Fitted timing curvature has opposite signs in separate halves of 12 of 24 selected Kepler records
This related work used early validation to mix linear and quadratic forecasts. The present study measures curvature separately in disjoint windows.