Characterizing K2 Candidate Planetary Systems Orbiting Low-mass Stars. I. Classifying Low-mass Host Stars Observed during Campaigns 1-7

被引:40
|
作者
Dressing, Courtney D. [1 ]
Newton, Elisabeth R. [2 ]
Schlieder, Joshua E. [3 ,5 ]
Charbonneau, David [4 ]
Knutson, Heather A. [1 ]
Vanderburg, Andrew [4 ]
Sinukoff, Evan [6 ,7 ]
机构
[1] CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA
[2] MIT, Dept Phys, Cambridge, MA 02139 USA
[3] CALTECH, IPAC NExScI, Pasadena, CA 91125 USA
[4] Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA
[5] NASA Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[6] Univ Hawaii Manoa, Inst Astron, Honolulu, HI 96822 USA
[7] CALTECH, Cahill Ctr Astrophys, 1216 East Calif Blvd, Pasadena, CA 91125 USA
关键词
planetary systems; planets and satellites: fundamental parameters; stars: fundamental parameters; stars: late-type; stars: low-mass; techniques: spectroscopic; GIANT BRANCH STARS; M DWARFS; STELLAR; COOL; METALLICITIES; CALIBRATION; ISOCHRONES; EVOLUTION; CATALOG; TEMPERATURES;
D O I
10.3847/1538-4357/836/2/167
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present near-infrared spectra for 144 candidate planetary systems identified during Campaigns 1-7 of the NASA K2 Mission. The goal of the survey was to characterize planets orbiting low-mass stars, but our IRTF/SpeX and Palomar/TripleSpec spectroscopic observations revealed that 49% of our targets were actually giant stars or hotter dwarfs reddened by interstellar extinction. For the 72 stars with spectra consistent with classification as cool dwarfs (spectral types K3 - M4), we refined their stellar properties by applying empirical relations based on stars with interferometric radius measurements. Although our revised temperatures are generally consistent with those reported in the Ecliptic Plane Input Catalog (EPIC), our revised stellar radii are typically 0.13 R circle dot(39%) larger than the EPIC values, which were based on model isochrones that have been shown to underestimate the radii of cool dwarfs. Our improved stellar characterizations will enable more efficient prioritization of K2 targets for follow-up studies.
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页数:30
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