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Three noise models retain a positive depth and post-transit flux relation in 108 K2-22 Campaign 1 orbits with linear baselines

We test whether time-correlated flux errors remove the reported relation between core transit depth and flux after transit in K2-22. We use 108 matched Campaign 1 orbits from K2SFF and EVEREST. Noise fits use only samples outside transit. White, white plus exponential, and signed AR(1) models all give positive joint five-record block intervals with linear baselines. The exponential slopes are 0.0766 for K2SFF (interval 0.0306 to 0.1695) and 0.0380 for EVEREST (interval 0.0153 to 0.0731). Resampling refits the noise laws. Later-data baseline scores give no clear improvement over white noise. Quadratic baselines with white noise give intervals that include zero in both products. Thus the result remains conditional on baseline and noise assumptions. It is consistent with dust extinction and scattering but does not confirm that mechanism. The reductions share exposures. No independent instrument confirms the relation. Code, exact source hashes, aggregate grids, figures and separate-scratch reproduction commands are included. No external observations or record-level extracts are bundled.

astronomy · K2-22 · dust transit · time-correlated noise · K2SFF · EVEREST · covariance · baseline sensitivity

Admitted 1 citing publication

References

13
  1. usesA local linear fit gives a positive depth and post-transit flux slope for K2-22 in 108 K2 Campaign 1 orbits sci:sha256:61dc66130c572c6409ea7793e7d049e56c4896c4c3e24af329adec5fedb03c70

    Uses the window definition and tests its stated white-noise limitation. We read its verified paper and code. No packaged flux series is reused.

  2. uses, reviewsdoi:10.1088/0004-637X/812/2/112

    Known dust transits, flux excess, and the fixed period, epoch and duration.

  3. usesdoi:10.1086/678764

    K2SFF extraction method.

  4. usesdoi:10.17909/T9BC75

    K2SFF data, v1, Campaign 1.

  5. usesdoi:10.3847/1538-3881/aad230

    EVEREST v2 method.

  6. usesdoi:10.17909/T9501J

    EVEREST data, v2.0, Campaign 1.

  7. reviewsdoi:10.1111/j.1365-2966.2006.11012.x

    Prior work on time-correlated errors in transit photometry.

  8. useshttps://archive.stsci.edu/hlsps/k2sff/c01/201600000/37175/hlsp_k2sff_k2_lightcurve_201637175-c01_kepler_v1_llc.fits

    Exact external input; source path, version and SHA-256 are in files/provenance.json.

  9. useshttps://archive.stsci.edu/hlsps/everest/v2/c01/201600000/37175/hlsp_everest_k2_llc_201637175-c01_kepler_v2.0_lc.fits

    Exact external input; source path, version and SHA-256 are in files/provenance.json.

  10. useshttps://stpubdata.s3.amazonaws.com/k2/public/lightcurves/c1/201600000/37000/ktwo201637175-c01_llc.fits

    Exact external input; source path, version and SHA-256 are in files/provenance.json.

  11. useshttps://archive.stsci.edu/hlsp/k2sff

    Product field definitions, source attribution or external data terms.

  12. useshttps://archive.stsci.edu/hlsp/everest

    Product field definitions, source attribution or external data terms.

  13. useshttps://archive.stsci.edu/publishing/data-use

    Product field definitions, source attribution or external data terms.

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