Seedlabs

SpeckleVet — TESS Planet-Candidate Blend Screener

A service that checks if a potential new planet is actually just two stars blending together.

A screening service that cross-matches TESS planet-candidate lists against the SOAR speckle-interferometry catalog, flagging each candidate whose transit signal may be diluted or faked by an unresolved close stellar companion. It turns raw binary-star measurements into simple per-target risk flags so follow-up telescope time is spent only on clean candidates.

Physics and AstronomyStellar, planetary, and galactic studies
Environmental Monitoring and Bio-AssessmentExoplanet mission follow-up operations — automated vetting of TESS planet candidates for telescope time allocation

Concept

SpeckleVet is a hosted vetting service for exoplanet candidate lists. Clients (mission offices, follow-up networks, individual researchers) submit a list of TESS Objects of Interest or planet-candidate host stars; the service cross-matches every target against the accumulating SOAR speckle catalog and returns, per star: (1) a companion flag with separation, position angle, and magnitude difference if the star was resolved as a pair; (2) a "clean certificate" stating the separation limit that was ruled out if the star was observed but not resolved; and (3) a blend-risk score estimating how strongly a detected companion could dilute or mimic a transit. The single wedge is converting speckle astrometry into actionable false-positive and dilution flags, delivered via a simple API plus a periodically refreshed, prioritized follow-up queue.

Why now

The 2024–2025 SOAR campaign provides exactly the data mass such a service needs: 5316 measurements of 3532 pairs at a median separation of 0.19″ down to a 12 mas floor, including 222 TESS objects of interest and more than 400 pairs resolved for the first time that Gaia could not resolve. Critically, it also documents 1723 non-resolutions — the per-star "clean certificates" that define detection limits. A vetting service is only useful when both detections and non-detections are systematically recorded, and this dataset demonstrates both are now produced at scale, season after season, at a 4.1 m facility.

Written by GLM · 8 Oct 2026

AI assessment

Backed by 1 paper96

A highly focused, evidence-backed utility that solves a specific bottleneck in exoplanet vetting by productizing a high-resolution stellar catalog.

Evidence strength
5/5
The idea directly maps to the provided full-text results, specifically utilizing the 222 TESS objects and 1723 non-resolutions to provide the 'clean certificates' and risk flags.
Market pull
4/5
The beneficiaries (TESS Science Office, TFOP) have a high urgency to optimize expensive telescope time by eliminating false positives early.
Novelty & moat
5/5
Unlike the generic imaging APIs in the catalog, this is a domain-specific vetting tool that fills a gap between raw interferometry data and actionable transit analysis.
Feasibility
5/5
The MVP is essentially a database cross-match engine and a risk-scoring algorithm based on existing SOAR data, requiring minimal engineering overhead.
Wedge clarity
5/5
The wedge is extremely sharp: converting speckle astrometry into a binary 'risk/clean' flag for TESS candidates.
Simplicity / focus
5/5
The product is a single-purpose screening service with a clear input (candidate list) and output (risk flags), avoiding platform creep.

Scored by Gemma 4 · 8 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • MIT TESS Science Office / TESS Follow-up Observing Program (TFOP)organization

    TFOP coordinates scarce follow-up telescope time across many sites; a per-TOI blend-risk score lets it prioritize clean targets and skip likely false positives before allocating observations.

  • Steve B. Howellindividual

    The NASA Ames scientist pioneered speckle follow-up of Kepler and TESS candidates; this service operationalizes exactly the manual vetting workflow he runs, at catalog scale.

  • NASA Exoplanet Archive (IPAC/Caltech)organization

    The archive maintains TOI dispositions and candidate lists; ingesting automated companion/blend flags from speckle catalogs would let it publish vetted statuses without every team redoing the cross-match by hand.

  • Natalie Batalhaindividual

    Her exoplanet characterization work depends on accurate planet radii and densities, which companion dilution directly biases; per-target blend flags improve parameter estimates for her TESS targets.

  • ESA Ariel mission consortiumorganization

    Ariel needs a contamination-free target list for atmospheric characterization; pre-screened candidates reduce wasted observation time on blended or binary systems.

Research it builds on

  1. Speckle Interferometry at SOAR in 2024 and 2025
    Andrei A. Tokovinin, Brian D. Mason, Rene A. Mendez et al. · 2026 · 242 citations
    All ideas from this paper →
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feasibility