科技报告详细信息
A Revised Exoplanet Yield from the Transiting Exoplanet Survey Satellite (TESS)
Barclay, Thomas ; Pepper, Joshua ; Quintana, Elisa V
关键词: ASTRONOMICAL MODELS;    BRIGHTNESS;    DETECTION;    DWARF STARS;    EXTRASOLAR PLANETS;    HABITABILITY;    M STARS;    RADIAL VELOCITY;    STELLAR MASS;    TRANSITING EXOPLANET SURVEY SATELLITE (TESS);   
RP-ID  :  GSFC-E-DAA-TN65986
学科分类:天体物理学
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

The Transiting Exoplanet Survey Satellite (TESS) has a goal of detecting small planets orbiting stars bright enough for mass determination via ground-based radial velocity observations. Here, we present estimates of how many exoplanets the TESS mission will detect, the physical properties of the detected planets, and the properties of the stars that those planets orbit. This work uses stars drawn from the TESS Input Catalog Candidate Target List and revises yields from prior studies that were based on Galactic models. We modeled the TESS observing strategy to select approximately 200,000 stars at 2-minute cadence, while the remaining stars are observed at 30-minute cadence in full-frame image data. We placed zero or more planets in orbit around each star, with physical properties following measured exoplanet occurrence rates, and used the TESS noise model to predict the derived properties of the detected exoplanets. In the TESS 2-minute cadence mode we estimate that TESS will find 1250 ± 70 exoplanets (90% confidence), including 250 smaller than 2 R(sub ⊕). Furthermore, we predict that an additional 3100 planets will be found in full-frame image data orbiting bright dwarf stars and more than 10,000 around fainter stars. We predict that TESS will find 500 planets orbiting M dwarfs, but the majority of planets will orbit stars larger than the Sun. Our simulated sample of planets contains hundreds of small planets amenable to radial velocity follow-up, potentially more than tripling the number of planets smaller than 4 R(sub ⊕) with mass measurements. This sample of simulated planets is available for use in planning follow-up observations and analyses.

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