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Sandbox Physics

AC24

From planet catalogs to populations

Follow a small shadow through a noisy search. Keep the stars with no discoveries, then ask what the surviving catalog tells you about planets.

  1. L1

    Why do large planets fill a discovery catalog?

    Planet catalogs favour signals a search can find. Follow transit geometry, observing gaps and noise to separate discoveries from the true population.

  2. L1

    Keep the stars with no detected planet

    Transit geometry and every searched star set planet occurrence. Derive alignment and distinguish planet counts from host fractions.

  3. L2

    Which transits survive the survey?

    Transit recovery depends on finite exposures, orbital alignment and observing windows. Derive a Gaussian test and combine the probabilities consistently.

  4. L3

    From a few detections to a population

    Planet occurrence needs an integer catalog and effective search exposure. Derive its posterior and track classification, selection and radius errors.

  5. L3

    Replay a bounded DR25 parent sample

    Kepler DR25 occurrence can be rerun from fixed source bytes. Rebuild the searched-star sample and propagate unmeasured selection into rate bounds.

  6. L4

    Read the evidence for the radius valley

    Radius-valley figures combine selected samples, radius errors and physical models. Read fixed CKS, host-mass and planetary-architecture evidence.

Turn the detector dial and compare the population

Sources and calculation scope

  1. NASA Exoplanet Archive DR25 completeness/reliability and simulated products

    Official DR25 product roles and the INJ1 source tables.

  2. Christiansen 2017, Pixel-Level Transit Injection Tests of Pipeline Detection Efficiency for DR25

    KSCI-19110-001, sections 2–4 and pp. 9–12: ephemeris matching, aperture-corrected depth, expected MES and original table columns.

  3. Burke and Catanzarite 2017, Per-Target Detection Contours for DR25

    KSCI-19111-002, Equations 1–2, sections 3.5–3.6 and 4–7: OSD, windows and target-dependent transfer.

  4. Coughlin, Robovetter Completeness and Effectiveness for DR25

    KSCI-19114-002: injected, inverted and scrambled products; Robovetter dispositions and reliability.

  5. Measuring Transit Signal Recovery in the Kepler Pipeline IV

    Version 2010.04796v1, sections II–IV: pixel-injection design and pooled recovery response.

  6. A Probabilistic Approach to Kepler Completeness and Reliability for Exoplanet Occurrence Rates

    Version 1906.03575v4, sections II–VI, Equations 10–12 and Appendix B: externally weighted integer catalogs and occurrence likelihoods.

  7. Reliability Correction is Key for Robust Kepler Occurrence Rates

    Version 2006.15719v1, sections II–III and Figures 4–5: classification reliability, scores and catalog sensitivity.

  8. The California-Kepler Survey III. A Gap in the Radius Distribution of Small Planets

    Version 1703.10375v2, Figure 7, sections II–V and Appendix C: selected CKS population, weighted radius distribution and synthetic checks.

  9. Shallower radius valley around low-mass hosts

    Version 2401.12378v2, Equations 1–6, Figures 4–8 and section 3.3: normalized valley contrast, host dependence and radius-cell migration.

  10. About 30 percent of Sun-like Stars Have Kepler-like Planetary Systems

    Version 1802.09526v2, section III.1, Equations 1–4, sections III.4–III.5 and Figures 7–9: planets per star, host fraction and system architecture.

  11. IAU 2015 Resolution B3 nominal conversion constants

    IAU 2015 Resolution B3 conversion constants, version 1510.07674v1.

  12. NASA Exoplanet Archive reuse and acknowledgment guidance

    NASA Exoplanet Archive reuse and original-source acknowledgments.

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