Estimates of the Population of Exoplanets Discoverable by the Transiting Exoplanet Survey Satellite (TESS)

Details Estimates of the Population of Exoplanets Discoverable by the Transiting Exoplanet Survey Satellite (TESS) Estimates of the Population of Exoplanets Discoverable by the Transiting Exoplanet Survey Satellite (TESS)

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21545004s&link_type=abstract

American Astronomical Society, AAS Meeting #215, #450.04; Bulletin of the American Astronomical Society, Vol. 42, p.458

Astronomy and Astrophysics

Astronomy

Scientific paper

In a two year survey, the Transiting Exoplanet Survey Satellite (TESS) will search the entire sky for planets orbiting nearby, bright stars. In this paper, we calculate the number of transiting planets that TESS will detect, as a function of the properties of the planet and the properties of the host star. The ingredients in this calculation are divided into five groups:
The properties of the planet: its radius r and orbital distance a.
The properties of the star: its luminosity L, mass M, radius R, and number density n in our Galactic neighborhood.
The TESS instrumental parameters: its effective area, bandpass, and limiting photometric precision.
The TESS survey parameters: the characteristics of the input catalog (2.5 million V < 13.5 dwarfs over the whole sky), observing duty cycle (observing a given star 10.3% of the time), and duration of observations for a given star (72 days).
The abundance of planets around stars, which may depend on r, a, and L
The calculation is performed for a three-dimensional grid of planet/star/orbit combinations, in which the three parameters are the planet radius r, the stellar luminosity L, and the orbital distance a. For the range of instrument and population parameters and assumptions considered, we estimate that TESS will detect 1600-2700 planets in total, of which 100-300 should be small planets: SuperEarths or Earths.
Support for this work has been provided by NASA, the Kavli Foundation, Google, and the Smithsonian Institution.

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