7 research outputs found

    Exoplanet Classification and Yield Estimates for Direct Imaging Missions

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    Future NASA concept missions that are currently under study, like Habitable Exoplanet Imaging Mission (HabEx) & Large Ultra-Violet Optical Infra Red (LUVOIR) Surveyor, would discover a large diversity of exoplanets. We propose here a classification scheme that distinguishes exoplanets into different categories based on their size and incident stellar flux, for the purpose of providing the expected number of exoplanets observed (yield) with direct imaging missions. The boundaries of this classification can be computed using the known chemical behavior of gases and condensates at different pressures and temperatures in a planetary atmosphere. In this study, we initially focus on condensation curves for sphalerite ZnS, H2O, CO2 and CH4. The order in which these species condense in a planetary atmosphere define the boundaries between different classes of planets. Broadly, the planets are divided into rocky (0.5 - 1.0RE), super-Earths (1.0- 1.75RE), sub-Neptunes (1.75-3.5RE), sub-Jovians (3.5 - 6.0RE) and Jovians (6-14.3RE) based on their planet sizes, and 'hot', 'warm' and 'cold' based on the incident stellar flux. We then calculate planet occurrence rates within these boundaries for different kinds of exoplanets, \eta_{planet}, using the community co-ordinated results of NASA's Exoplanet Program Analysis Group's Science Analysis Group-13 (SAG-13). These occurrence rate estimates are in turn used to estimate the expected exoplanet yields for direct imaging missions of different telescope diameter.Comment: Accepted to Astrophysical Journal. 30 pages, 4 tables. Online tool for classification boundaries can be found at: http://www3.geosc.psu.edu/~ruk15/planets

    Exoplanet Diversity in the Era of Space-based Direct Imaging Missions

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    This whitepaper discusses the diversity of exoplanets that could be detected by future observations, so that comparative exoplanetology can be performed in the upcoming era of large space-based flagship missions. The primary focus will be on characterizing Earth-like worlds around Sun-like stars. However, we will also be able to characterize companion planets in the system simultaneously. This will not only provide a contextual picture with regards to our Solar system, but also presents a unique opportunity to observe size dependent planetary atmospheres at different orbital distances. We propose a preliminary scheme based on chemical behavior of gases and condensates in a planet's atmosphere that classifies them with respect to planetary radius and incident stellar flux.Comment: A white paper submitted to the National Academy of Sciences Exoplanet Science Strateg

    The Orbital Design of Alpha Centauri Exoplanet Satellite (ACESat)

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    The existence of an Earth-like exoplanet is of particular interest to the science community and would alter the world’s view on life in the universe. There are three major requirements for Earth-like exoplanets: size, temperature and the presence of an atmosphere. The exoplanet should be between 0.5 to 1.5 earth radii and located within the habitable zone of its host star. Spectral measurements can detect biomarkers (such as oxygen) in the atmosphere, potentially indicating an active ecosystem. There are missions to illustrate the existence of such an exoplanet (Kepler and TESS); however they do not measure spectra and these observed planets are too far away for biomarkers to be detectable with foreseeable technology. Currently planned instruments, which utilize transit spectroscopy, such as JWST, are statistically unlikely to have a transiting Earth-like planet close enough to detect biomarkers in its spectrum. A (non-transiting) Earth-like planet must be directly imaged for an atmosphere to be established and to understand the elemental composition. A coronagraph is a device capable of directly imaging a habitable Earth-like planet by blocking out the light of the host star. Current mission concepts such as WFIRST/AFT are being funded by NASA to improve this technology, but are not designed to image Earth-like planets. The closest star system, Alpha Centauri, is estimated to be between a 40-50% chance of having a habitable Earth-like planet around each star according to some of the most recent analyses of Kepler data, and is the easiest place to search for habitable Earth-like planets due to its proximity to us. This has motivated the study and design of a coronagraph to look for habitable Earth-like planets around Alpha Centauri by Rus Belikov and Eduardo Bendek, called ACESat

    Small Satellite Mission Concept to Image Earth-like Planets around Alpha Centauri

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    The scientific interest in directly image and identifying Earth-like planets within the Habitable Zone (HZ) around nearby stars is driving the design of specialized direct imaging mission such as ACESAT, EXO-C, EXO-S and AFTA-C. The inner edge of Alpha Cen A&B Habitable Zone is found at exceptionally large angular separations of 0.7” and 0.4” respectively. This enables direct imaging of the system with a 0.3m class telescope. Contrast ratios in the order of 1010 are needed to image Earth-brightness planets. Low-resolution (5-band) spectra of all planets, will allow establishing the presence and amount of an atmosphere. This star system configuration is optimal for a specialized small, and stable space telescope, that can achieve high-contrast but has limited resolution. This paper describes an innovative instrument design and a mission concept based on a full Silicon Carbide off-axis telescope, which has a Phase Induce Amplitude Apodization coronagraph embedded in the telescope. This architecture maximizes stability and throughput. A Multi-Star Wave Front algorithm is implemented to drive a deformable mirror controlling simultaneously diffracted light from the on-axis and binary companion star. The instrument has a Focal Plane Occulter to reject starlight into a high-precision pointing control camera. Finally we utilize a Orbital Differential Imaging (ODI) post-processing method that takes advantage of a highly stable environment (Earthtrailing orbit) and a continuous sequence of images spanning 2 years, to reduce the final noise floor in post processing to ~2e-11 levels, enabling high confidence and at least 90% completeness detections of Earth-like planets
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