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Goldilocks Zones – a Fine-Grained Exoplanet Taxonomy Patrick J. Talbot (Presenter) Dennis R. Ellis (Analysis)

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Presentation on theme: "Goldilocks Zones – a Fine-Grained Exoplanet Taxonomy Patrick J. Talbot (Presenter) Dennis R. Ellis (Analysis)"— Presentation transcript:

1 Goldilocks Zones – a Fine-Grained Exoplanet Taxonomy Patrick J. Talbot (Presenter) Dennis R. Ellis (Analysis)

2 Introduction and Summary https://github.com/OpenExoplanetCatalogue/open_exoplanet_catalogue * http://exoplanets.org/, as of 1 September 2015.http://exoplanets.org/ Situation: Since the 1990's, over 5,000 exoplanets have been identified* and the rate of discovery is accelerating: 1,569 Planets with good orbits + 24 Microlensing and imaged planets = 1,593 Total confirmed planets + 3,751 Unconfirmed Kepler candidates = 5,344 Total exoplanets + Kelper Candidates Need: a robust, extensible organization scheme for understanding, processing, and pattern discovery Approach: ● A classic trade study to rank and score candidate attributes ● A critic, a sequential optimizer, and software tests ● Iteration to find a minimum spanning taxonomy ● Result: ● A minimum spanning taxonomy provides a uniques set of characteristics for each exoplanet. ● To the extent practical, each exoplanet has a unique set of characteristics, or signature.

3 Objective ● Organize information about exoplanets ● Input exoplanets characteristics into a hierarchical, frame-based ontology, like Protege ● Identify the minimum set of characteristics that span the problem space, so that each exoplanet has, to the extent practical, a unique signature. ● Input the knowledge base into data analytics tools, such as Weka Rule Induction, to automatically discover interesting pattterns. ● Quantify missing and conflicting data as sources of uncertainty to drive further refinement

4 Approach Compute Signatures Unique? Reduce #States Increase #States Yes Minimal? No Verify Uniqueness Done Yes Perform Trades ● Mission ● Functional Filter Attributes ● Birthday Problem Discretize ● Rules No

5 TagDescriptionUnit Planeta single planet. May be a free floating (orphan) planet StarA single star. A star can be host to one or more planets Binarytwo stars, star/binary or two binaries. DeclinationDeclination+/- dd mm ss RightascensionRight ascensionhh mm ss DistanceDistance from the Sunparsec NameUsed multiple times for objects with multiple names. SemimajoraxisSemi-major axis of a planet (heliocentric coordinates) AU SeparationProjected separation of planet from its hostAU, arcsec PositionanglePosition angledegreeEccentricity PeriastronLongitude of periastrondegree LongitudeMean longitude at a given Epoch (all planets in a system)degree MeananomalyMean anomaly at a given Epoch (all planets in one system)degree AscendingnodeLongitude of the ascending nodedegree InclinatioNInclination of the orbitdegree EpochEpoch for the orbital elementsBJD PeriodOrbital periodday TransittimeTime of the center of a transitBJD PeriastrontimeTime of periastronBJD MassMass (or m sin(i) for radial velocity planets)Jupiter/Solar RadiusPhysical radiusJupiter/Solar TemperatureTemperature (surface or equilibrium)Kelvin AgeAgeGyr MetallicityStellar metallicitylog, rel/ solar SpectraltypeSpectral type MagBB magnitude MagVVisual magnitude MagRR magnitude MagII magnitude MagJJ magnitude MagHH magnitude MagKK magnitude DiscoverymethodDiscovery method : timing, RV, transit, imaging. IstransitingWhether the planet is transiting (1) or not (0). DescriptionShort description of the planet DiscoveryyearYear of the planet's discoveryyyyy LastupdateDate of the last (non-trivial) updateyy/mm/dd SpinorbitalignmentRossiter-McLaughlin Effect.degree Data Structures, MIT Open Exoplanet Catalog

6 Mission Trade Study

7 Functional Trade Study

8 Node Composite Score

9 Sample Rules

10 Probability of Duplicates vs Catalog Size

11 Exoplanet Characteristics Hierarchy Exoplanets ElementsPhysical Host star Period Binary Metallicity Semi-major axis Spectral Type Mass Age Radius Separation Eccentricity Inclination Temperature Distance Exoplanet Name Input Header Only

12 H H 2 M L S L N L O L A Temperature (Hot) Distance (Far) Separation (Moderate) Binary (2 stars) Semi-major Axis (Large) Mass (Small) Inclination (Low) Eccentricity (Nearly Circular) Period (Long) Spectral type (Hottest) Physical Radius (Large) Age (Ancient) Exoplanet Signature

13 Physical Orbital InfluentialEnvironmental Size Mass Composition [FeHg] Period Inclination Host Spectral Type Host Age Host Variability Kepler 423c Habitability Index =.3 Goldilocks Zone Exoplanet Kiviat Diagram

14 Coming in the Full Paper ● Percent of Duplicate Signatures ● Sensitivity of Duplicates to Attribute States ● Optimum Set of Attributes and # States ● Weka Rule Induction to Identify Patterns

15 Summary ● Characteristics of an exoplanet taxonomy were identified ● Trade studies ranked attributes ● Rules discretized attributes ● Taxonomy was sized (Birthday Problem) ● A fine-grained taxonomy was portrayed: ● Taxonomy Hierarchy ● Taxonomy Signature ● Taxonomy Kiviat

16 Backup:Example Histograms


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