The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
A Revised Exoplanet Yield from the Transiting Exoplanet Survey Satellite (TESS)
Open accessAbstract
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 ⊕. 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 ⊕ with mass measurements. This sample of simulated planets is available for use in planning follow-up observations and analyses.
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Cites
Matplotlib: a 2D graphics environment
Hunter, J. D. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.55 · Cited by 39,249
Astropy: A community Python package for astronomy
The Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., Greenfield, P., Droettboom, M., Bray, E., Aldcroft, T., Davis, M., Ginsburg, A., Price-Whelan, A. M., et al. (2013) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201322068 · Cited by 14,620
The NumPy Array: A Structure for Efficient Numerical Computation
van der Walt, S., Colbert, S. C., & Varoquaux, G. (2011) · Computing in Science & Engineering · doi:10.1109/mcse.2011.37 · Cited by 9,381
A Jupiter-mass companion to a solar-type star
Mayor, M., & Queloz, D. (1995) · Nature · doi:10.1038/378355a0 · Cited by 4,111
Transiting Exoplanet Survey Satellite
Ricker, G. R., Winn, J. N., Vanderspek, R., Latham, D. W., Bakos, G. Á., Bean, J. L., Berta-Thompson, Z. K., Brown, T. M., Buchhave, L., Butler, N. R., et al. (2014) · Journal of Astronomical Telescopes, Instruments, and Systems · doi:10.1117/1.jatis.1.1.014003 · Cited by 4,056
Self-citationKepler planet-detection mission: Introduction and first results
Borucki, W. J., Koch, D., Basri, G., Batalha, N., Brown, T., Caldwell, D., Caldwell, J., Christensen-Dalsgaard, J., Cochran, W. D., DeVore, E., et al. (2010) · Science · doi:10.1126/science.1185402 · Cited by 4,035
Self-citationIPython: A System for Interactive Scientific Computing
Perez, F., & Granger, B. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.53 · Cited by 4,009
Python for scientific computing
Oliphant, T. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.58 · Cited by 3,303 · cited 2×
“Software: Matplotlib (Hunter 2007), SciPy (Oliphant 2007), NumPy (van der Walt et al. 2011), IPython (Perez & Granger 2007), Jupyter (Kluyver et al. 2016), Pandas (McKinney 2010), Astropy (Astropy Collaboration et al. 2013), Astroquery (Ginsburg et al. 2016), tvguide (Mukai & Barclay 2017), coco (Barclay 2018).”
INTRINSIC COLORS, TEMPERATURES, AND BOLOMETRIC CORRECTIONS OF PRE-MAIN-SEQUENCE STARS
Pecaut, M. J., & Mamajek, E. E. (2013) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/208/1/9 · Cited by 2,407
The K2 Mission: Characterization and Early Results
Howell, S. B., Sobeck, C., Haas, M., Still, M., Barclay, T., Mullally, F., Troeltzsch, J., Aigrain, S., Bryson, S. T., Caldwell, D., et al. (2014) · Publications of the Astronomical Society of the Pacific · doi:10.1086/676406 · Cited by 1,701
Self-citation
Cited by
Kempton, E. M.-R., Bean, J. L., Louie, D. R., Deming, D., Koll, D. D. B., Mansfield, M., Christiansen, J. L., López-Morales, M., Swain, M. R., Zellem, R. T., et al. (2018) · Publications of the Astronomical Society of the Pacific · doi:10.1088/1538-3873/aadf6f · Cited by 587
Self-citationeleanor: An Open-source Tool for Extracting Light Curves from the TESS Full-frame Images
Feinstein, A. D., Montet, B. T., Foreman-Mackey, D., Bedell, M. E., Saunders, N., Bean, J. L., Christiansen, J. L., Hedges, C., Luger, R., Scolnic, D., et al. (2019) · Publications of the Astronomical Society of the Pacific · doi:10.1088/1538-3873/ab291c · Cited by 266
Metadata
- Authors
- Barclay, T., Pepper, J., & Quintana, E. V.
- Venue
- The Astrophysical Journal Supplement Series
- Publisher
- American Astronomical Society
- Published
- 2018-10-25
- Volume
- 239
- Issue
- 1
- Pages
- 2
- ISSN
- 0067-0049 (ISSN-L)
- 1538-4365
- OpenAlex
- W2797410608
- Cited by
- 294
- References
- 93
- FWCI
- 28.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
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