EXONEST The Exoplanetary Explorer. Kevin H. Knuth and Ben Placek Department of Physics University at Albany (SUNY) Albany NY
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1 EXONEST The Exoplanetary Explorer Kevin H. Knuth and Ben Placek Department of Physics University at Albany (SUNY) Albany NY
2 Kepler Mission The Kepler mission, launched in 2009, aims to explore the structure and diversity of extra-solar planetary systems.
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5 Bayesian Inference Bayes theorem acts as a learning rule that allows one to update their state of knowledge about the model parameter values given acquired data. Likelihood P θ D, M, I Prior = P θ M, I P D θ, M, I P D M, I Posterior M = model θ = parameters D = data I = prior information Evidence (Z)
6 EXONEST Exoplanetary Explorer We have developed the EXONEST Exoplanetary Explorer which is a Bayesian Inference Engine equipped with plug-and-play models of exoplanetary photometric effects. The system will be made available to the public as open-source code so that third-party development of new photometric models of exoplanetary effects can be readily incorporated.
7 EXONEST Exoplanetary Explorer Data EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models Additional Models Parameter Estimates Model Evidence EXONEST [1] takes Data from the Kepler Space Telescope, CoRoT, etc. and given a specified model, produces model-based parameter estimates as well as the Bayesian evidence for that model [1] Placek, Knuth, Angerhausen, 2014 arxiv:
8 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models Additional Models Bayesian Inference Engine Central to EXONEST is the Bayesian Inference Engine, which is based on the Nested Sampling algorithm [2]. The specific current MATLAB implementation is the MultiNest algorithm [3,4,5], but we expect to change this in the near future to enable the handling of many more model parameters. [2] Sivia & Skilling, [3] Feroz et al., arxiv: [4] Feroz & Hobson, arxiv: [5] Feroz et al., arxiv:
9 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Basic Stellar and Planetary Model The basic models describing the recorded flux as originating from a star with orbiting planets are built in. This includes code for modeling the orbital dynamics, as well as describing the common parameters and their prior probabilities. Orbital Models Transit Models Photometric Models Additional Models
10 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Instrument Likelihood The likelihood function describes the degree to which the model is expected to describe the data. We have experimented with several different likelihoods and have found that a Gaussian likelihood with the free noise parameter sigma to be most reliable. Plug-and-Play Orbital Models Transit Models Photometric Models Additional Models
11 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Plug-and-Play The recorded flux can be described by user-defined plug-and-play forward models of both stellar and planetary configurations and photometric effects. Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models Additional Models
12 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models Additional Models Orbital Models For a given Keplerian planet, one of two orbital models are considered: Circular Orbit Eccentric Orbit The Eccentric Orbit model requires an additional eccentricity parameter, which must be defined with appropriate prior values. To be added in the future are three-body orbital models as in Trojan resonance dynamics and the Kozai mechanism.
13 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Transit Models Transit models accommodate both primary and secondary transits in the case of transiting planets. Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models Additional Models
14 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models Additional Models Photometric Models We have developed photometric models for several distinct physical effects. Two are related to the planet itself: Reflected Light Thermal Emissions Two others are related to the effect that the planet has on its host star Doppler Boosting (Beaming) Ellipsoidal Variations (Tidal Warping) We are currently investigating additional effects and their relative magnitudes.
15 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Additional Models Additional user-defined models affecting the photometric flux can be accommodated. Presently, we are considering superrotation, multiple star systems with starstar reflections, star spot models, optically thin coronal regions, etc. Orbital Models Transit Models Photometric Models Additional Models
16 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models Parameter Estimation The Nested Sampling-based Inference Engine produces estimates and uncertainties of all of the model parameters employed in the forward problem. The number of parameters employed has varied in our studies from 7 to 13 or so parameters. This is approaching the limit that MultiNest can handle, which will force us to migrate to a Nested Sampling variant that we are currently developing in-house. Additional Models
17 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models Additional Models Model Testing The main focus of the Nested Sampling Inference Engine is the computation of the Bayesian evidence of the model. The evidence is critical in Model Testing [6] which we are finding to be useful as a planet validation aid [1]. This has enabled us to verify circular or eccentric orbits, the relative importance of photometric effects, and even the probability that a system hosts multiple planets. [1] Placek, Knuth, Angerhausen, arxiv: [6] Knuth et al. arxiv.org:
18 Results
19 KOI-13b
20 KOI-13 The KOI-13 system is a pair of A-type White Dwarf stars located 1630 LY from Earth. Each star is about 2 times as massive as the Sun with a temperature of about 8500K (compared to the Sun s temperature of 5778K). This Image of the KOI-13 system was taken from the 1m RCC telescope at the Konkoly Observatory in Hungary (Szabó et al. 2011)
21 KOI-13A and KOI-13b In 2011 Kepler detected an object transiting KOI-13A at AU with a period of 25.4 hours (Szabó et al. 2011). Initially the object was thought to be a brown dwarf. Image from (Szabó et al. 2011) Note the spin-orbit mis-alignment. In 2012 Mislis and Hodgkin (2012) determined that the object was a Hot Jupiter with a mass of 8.3 Jupiter masses and a radius 1.4 times that of Jupiter.
22 KOI-13b As a proof-of-concept, we examined whether the planet can be characterized using photometric effects alone (ignoring the dominant transits) Eccentric Orbit Circular Orbit Phase Phase Out-of-transit data for KOI-13b including fits (dark curve) (A) Eccentric Orbit with reflected light, Doppler beaming, and ellipsoidal variations (Log Evidence: ln Z = ± 1.1; Residual Sum of Squares: RSS = 3.45e-06) (B) Circular Orbit with reflected light, Doppler beaming, and ellipsoidal variations (Log Evidence: ln Z = ± 0.9; Residual Sum of Squares: RSS = 3.8e-06). Bayesian model testing favors the eccentric orbit (A) by a factor of exp(45)! [1] Placek, Knuth, Angerhausen, 2014 arxiv:
23 KOI-13b Ignoring transits and relying only on photometric effects we demonstrate that the planet can still be fairly well characterized. That is, Kepler could be used to detect and characterize some nontransiting planets! (Log Evidence) [1] Placek, Knuth, Angerhausen, 2014 arxiv:
24 HAT-P-7b
25 HAT-P-7b (Kepler-2b) Sinusoidally-varying light from planet Shift in baseline flux due to thermal light emission from planet Star blocks light from planet
26 HAT-P-7b (Kepler-2b) [7] Placek & Knuth 2014 arxiv:
27 HAT-P-7b (Kepler-2b) HAT-P-7b HAT-P-7b orbits an F8-type star in a circular orbit at AU with a period of 2.2 days. We estimate HAT-P-7b to a Hot Jupiter that is 1.66 times more massive than Jupiter with times the radius. Its day-side temperature is 2859 ± 33 K whereas the night-side is 1332 ± 756K. [7] Placek & Knuth 2014 arxiv:
28 KIC 54***** Discovery of a Triple Star System in a 10:1 Resonance
29 KIC 54***** Digital Sky Survey (DSS) Photometric data of KIC-54***** obtained from Kepler. (A) Quarter 13 light curve folded on the P1 = 6.45 day period, (B) Quarter 13 light curve folded on the P2 = day period (C) is the entire Q13 light curve. [8] Placek, Knuth, et al. 2014
30 KIC 54***** Eleven radial velocity measurements taken over the span of a week. The 6.45 day period is visible, but not the day period. Courtesy of Geoff Marcy and Howard Issacson [8] Placek, Knuth, et al. 2014
31 KIC 54***** Two possible models of the system. The main star is a G-star (like our sun), at least one of the other companions (C1) is M-dwarf. (A) A hierarchical arrangement (C1 and C2 orbit G with 6.45 day period, and orbit one another with day period) (B) A planetary arrangement (C1 orbits with 6.45 day period, and C2 orbits with day period) [8] Placek, Knuth, et al. 2014
32 KIC 54***** Testing the Hierarchical Model against the Planetary Model using the Radial Velocity Data The Circular Hierarchical Model has the greatest evidence [8] Placek, Knuth, et al. 2014
33 KIC 54***** The KIC 54***** system is a hierarchical triple system G-star pus two co-orbiting M-dwarfs in a 1:10 resonance (P1 = 6.45 day, P2 = day) [8] Placek, Knuth, et al. 2014
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35 EXONEST Exoplanetary Explorer EXONEST Exoplanetary Explorer Bayesian Inference Engine Basic Stellar and Planetary Model Instrument Likelihood Plug-and-Play Orbital Models Transit Models Photometric Models We have developed the EXONEST Exoplanetary Explorer which is a Bayesian Inference Engine equipped with plug-and-play models of exoplanetary photometric effects. The system will be made available to the public as open-source code so that third-party development of new photometric models of exoplanetary effects can be readily incorporated. Additional Models
36 Thank you for your kind attention meh.cc Special thanks to: Daniel Angerhausen, Jon Jenkins, Geoff Marcy, Howard Issacson, Jeff Scargle, Michael Way, John Skilling and the Kepler Mission Team
37 Key to Model Parameters M * or Ms Mass of Star (Solar mass units) R * or Rs Radius of Star (Solar radii) Mp Mass of Planet (Jupiter mass units) Rp Radius of Planet (Jupiter radii) Ag Geometric Albedo (unit less [0,1]) Td Day-side Temperature (Kelvin) Tn Night-side Temperature (Kelvin) T or P Orbital Period (days) e Orbital Eccentricity (unit less [0,1]) i Inclination of Orbital Plane (degrees) Mo Mean Anomaly (radians) ω Argument of the Perisatron (radians) K Radial Velocity Semi-amplitude (m/s) γ Systemic Velocity (Radial Component) (m/s) σ Noise level (parts per million)
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