A super-Earth and sub-Neptune transiting the late-type M dwarf LP 791-18
Ian J. M. Crossfield, William Waalkes, Elisabeth R. Newton, Norio, Narita, Philip Muirhead, Kristo Ment, Elisabeth Matthews, Adam Kraus, Veselin, Kostov, Molly R. Kosiarek, Stephen R. Kane, Howard Isaacson, Sam Halverson,, Erica Gonzales, Mark Everett, Diana Dragomir

TL;DR
This paper reports the discovery of two transiting planets around the cool M6V star LP 791-18 using TESS data, highlighting the potential for ground-based follow-up and characterization of planets around very low-mass stars.
Contribution
First detection of transiting planets around the third-coolest star known to host planets, expanding knowledge of planetary systems around late-type M dwarfs.
Findings
Two planets with radii 1.1 and 2.3 Earth radii discovered
Planets orbit within the radius gap for small exoplanets
Ground-based photometry successfully refined planetary parameters
Abstract
Planets occur most frequently around cool dwarfs, but only a handful of specific examples are known to orbit the latest-type M stars. Using TESS photometry, we report the discovery of two planets transiting the low-mass star called LP 791-18 (identified by TESS as TOI 736). This star has spectral type M6V, effective temperature 2960 K, and radius 0.17 R_Sun, making it the third-coolest star known to host planets. The two planets straddle the radius gap seen for smaller exoplanets; they include a 1.1 R_Earth planet on a 0.95 day orbit and a 2.3 R_Earth planet on a 5 day orbit. Because the host star is small the loss of light during these planets' transits is fairly large (0.4% and 1.7%). This has allowed us to detect both planets' transits from ground-based photometry, refining their radii and orbital ephemerides. In the future, radial velocity observations and transmission spectroscopy…
| Parameter | Value | Source |
|---|---|---|
| Identifying information | ||
| TIC ID | 181804752 | TIC v8 (Stassun et al., 2018a) |
| R.A. (hh:mm:ss) | 11:02:45.96 | |
| Dec. (dd:mm:ss) | -16:24:22.29 | |
| (mas yr-1) | -221.08 0.22 | Gaia DR2 |
| (mas yr-1) | -59.00 0.14 | Gaia DR2 |
| Distance (pc) | Gaia DR2 (Bailer-Jones et al., 2018) | |
| Photometric Properties | ||
| V (mag) ………. | 16.9 0.2 | TIC v8 |
| G (mag) ………. | 15.0715 0.0013 | Gaia DR2 (Gaia Collaboration et al., 2018) |
| GBP (mag) ………. | 17.23831 0.0072 | Gaia DR2 |
| GRP (mag) ………. | 13.69512 0.0029 | Gaia DR2 |
| u (mag)………. | 21.28 0.14 | SDSS (Albareti et al., 2017) |
| g (mag)………. | 17.8827 0.0057 | SDSS |
| r (mag) ………. | 16.2672 0.0039 | SDSS |
| i (mag)……….. | 14.3142 0.0035 | SDSS |
| z (mag)……….. | 13.2565 0.0035 | SDSS |
| J (mag)………. | 11.559 0.024 | 2MASS (Skrutskie et al., 2006) |
| H (mag) ……… | 10.993 0.022 | 2MASS |
| Ks (mag) …….. | 10.644 0.023 | 2MASS |
| W1 (mag) …….. | 10.426 0.023 | AllWISE (Cutri et al., 2012) |
| W2 (mag) …….. | 10.233 0.021 | AllWISE |
| W3 (mag) …….. | 10.024 0.062 | AllWISE |
| Spectroscopic and Derived Properties | ||
| Spectral Type | M(6.10.7)V | This work |
| Barycentric rv (km s-1) | +14.1 0.3 | This work |
| Age (Gyr) | This work | |
| Fe/H | This work | |
| (K) | 2960 55 | This work |
| (cgs) | 5.115 0.094 | This work |
| (km s-1) | 2 | This work |
| () | 0.1390.005 | This work |
| () | 0.1710.018 | This work |
| () | 0.002010.00045 | This work |
| LP 791-18b | LP 791-18c | ||
|---|---|---|---|
| Parameter | Units | (TOI-736.02) | (TOI-736.01) |
| d | |||
| deg | |||
| – | |||
| – | |||
| hr | |||
| hr | |||
| – | |||
| g cm-3 | |||
| AU | |||
| aaAssuming a uniform random distribution of Bond albedos (0–0.4) and heat redistribution factors (0.25–0.5). | K |
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A super-Earth and sub-Neptune transiting the late-type M dwarf LP 791-18
Ian J. M. Crossfield
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
William Waalkes
NSF Graduate Research Fellow
Department of Astrophysical and Planetary Sciences, University of Colorado, Boulder, CO, USA
Department of Physics and Astronomy, Dartmouth College, Hanover, NH, USA
Norio Narita
Astrobiology Center, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
JST, PRESTO, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain
Philip Muirhead
Department of Astronomy & Institute for Astrophysical Research, Boston University, 725 Commonwealth Ave., Boston, MA, USA
Kristo Ment
Center for Astrophysics, Harvard & Smithsonian, 60 Garden Street, Cambridge, MA, USA
Elisabeth Matthews
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Adam Kraus
Department of Astronomy, University of Texas at Austin, Austin, TX, USA
Veselin Kostov
NASA Goddard Space Flight Center, 8800 Greenbelt Road, MD, USA
Molly R. Kosiarek
NSF Graduate Research Fellow
Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA, USA
Stephen R. Kane
Department of Earth and Planetary Sciences, University of California, Riverside, CA, USA
Howard Isaacson
Astronomy Department, University of California, Berkeley, CA, USA
Sam Halverson
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Erica Gonzales
NSF Graduate Research Fellow
Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064, USA
Mark Everett
National Optical Astronomy Observatory, Tucson, AZ, USA
Diana Dragomir
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Center for Astrophysics, Harvard & Smithsonian, 60 Garden Street, Cambridge, MA, USA
NSF Graduate Research Fellow
Institute for Astronomy, University of Hawai‘i, 2680 Woodlawn Drive, Honolulu, HI, USA
David Berardo
NSERC Graduate Research Fellow
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Center for Astrophysics, Harvard & Smithsonian, 60 Garden Street, Cambridge, MA, USA
Joshua N. Winn
Princeton University, Department of Astrophysical Sciences, 4 Ivy Lane, Princeton, NJ, USA
NASA Ames Research Center, Moffett Field, CA, USA
Barbara Rojas-Ayala
Departamento de Ciencias Fisicas, Universidad Andres Bello, Fernandez Concha 700, Las Condes, Santiago, Chile
Aaron C. Rizzuto
51 Pegasi b Fellow
Department of Astronomy, University of Texas at Austin, Austin, TX, USA
Erik A. Petigura
Department of Astronomy, California Institute of Technology, Pasadena, CA, USA
Merrin Peterson
Departement de Physique, and Institute for Research on Exoplanets, Universite de Montreal, Montreal, H3T J4, Canada
Teo Mocnik
Department of Earth and Planetary Sciences, University of California, Riverside, CA, USA
Thomas Mikal-Evans
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Nicholas Mehrle
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
NASA Ames Research Center, Moffett Field, CA, USA
Masayuki Kuzuhara
Astrobiology Center, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
Jonathan Irwin
Center for Astrophysics, Harvard & Smithsonian, 60 Garden Street, Cambridge, MA, USA
Institute for Astronomy, University of Hawai‘i, 2680 Woodlawn Drive, Honolulu, HI, USA
Chelsea Huang
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Steve Howell
NASA Ames Research Center, Moffett Field, CA, USA
Andrew W. Howard
Department of Astronomy, California Institute of Technology, Pasadena, CA, USA
Teruyuki Hirano
Department of Earth and Planetary Sciences, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8551, Japan
Benjamin J. Fulton
NASA Exoplanet Science Institute, California Institute of Technology, M/S 100-22, 770 S. Wilson Ave, Pasadena, CA, USA
Gemini Observatory, Northern Operations Center, 670 N. Aohoku Place, Hilo, HI, USA
Courtney D. Dressing
Astronomy Department, University of California, Berkeley, CA, USA
Paul A. Dalba
Department of Earth and Planetary Sciences, University of California, Riverside, CA, USA
David Charbonneau
Center for Astrophysics, Harvard & Smithsonian, 60 Garden Street, Cambridge, MA, USA
Jennifer Burt
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Astrophysical and Planetary Sciences, University of Colorado, Boulder, CO, USA
Björn Benneke
Departement de Physique, and Institute for Research on Exoplanets, Universite de Montreal, Montreal, H3T J4, Canada
Noriharu Watanabe
National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
Department of Astronomical Science, Graduate University for Advanced Studies (SOKENDAI), Mitaka, Tokyo 181-8588, Japan
NASA Ames Research Center, Moffett Field, CA, USA
SETI Institute, 189 N. Bernardo No. 200, Mountain View, CA, USA
Motohide Tamura
Astrobiology Center, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
Department of Astronomy, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Joshua Schlieder
NASA Goddard Space Flight Center, 8800 Greenbelt Road, MD, USA
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Aeronautics and Astronautics, MIT, 77 Massachusetts Avenue, Cambridge, MA, USA
Mark E. Rose
NASA Ames Research Center, Moffett Field, CA, USA
George Ricker
Department of Physics, and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Elisa Quintana
NASA Goddard Space Flight Center, 8800 Greenbelt Road, MD, USA
Sébastien Lépine
Department of Physics and Astronomy, Georgia State University, GA, USA
Center for Astrophysics, Harvard & Smithsonian, 60 Garden Street, Cambridge, MA, USA
Takayuki Kotani
Astrobiology Center, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
Jon M. Jenkins
NASA Ames Research Center, Moffett Field, CA, USA
Yasunori Hori
Astrobiology Center, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
Knicole Colon
NASA Goddard Space Flight Center, 8800 Greenbelt Road, MD, USA
Douglas A. Caldwell
SETI Institute, 189 N. Bernardo No. 200, Mountain View, CA, USA
Abstract
Planets occur most frequently around cool dwarfs, but only a handful of specific examples are known to orbit the latest-type M stars. Using TESS photometry, we report the discovery of two planets transiting the low-mass star called LP 791-18 (identified by TESS as TOI 736). This star has spectral type M6V, effective temperature 2960 K, and radius 0.17, making it the third-coolest star known to host planets. The two planets straddle the radius gap seen for smaller exoplanets; they include a planet on a 0.95 day orbit and a planet on a 5 day orbit. Because the host star is small the decrease in light during these planets’ transits is fairly large (0.4% and 1.7%). This has allowed us to detect both planets’ transits from ground-based photometry, refining their radii and orbital ephemerides. In the future, radial velocity observations and transmission spectroscopy can both probe these planets’ bulk interior and atmospheric compositions, and additional photometric monitoring would be sensitive to even smaller transiting planets.
††journal: ApJL
1 Introduction
Cool, low-mass stars — M dwarfs — are more numerous and host more short-period planets per star than the more massive stars that host most of the known planets (Bonfils et al., 2013; Dressing & Charbonneau, 2015; Mulders et al., 2015). Whether they are seen to transit, inferred from radial velocity spectroscopy, or detected via gravitational microlensing, exoplanets tend to be easier to characterize when they orbit M dwarfs instead of larger, hotter, more massive stars. These red dwarfs are therefore popular targets for exoplanet surveys of all types.
The Kepler mission surveyed several thousand M dwarfs for transiting exoplanets and revealed that planet occurrence rates increase with decreasing stellar mass and for yr (Howard et al., 2012). However, most of Kepler’s M dwarfs were early-type: fewer than had K (Dressing & Charbonneau, 2013; Morton & Swift, 2014; Hardegree-Ullman et al., 2019) and would therefore be in the regime of stars with fully convective interiors. Just seven stars cooler than K are known to host planets111According to the NASA Exoplanet Archive, June 2019. Coolest of these is TRAPPIST-1 ( K, ; Gillon et al., 2017), whose seven transiting planets hint that the number of planets per star may be high for the very lowest-mass stars and which has sparked a flurry of theoretical and observational follow-up studies.
It remains an outstanding question as to whether planet occurrence continues to increase toward the lowest stellar masses (or beyond: do brown dwarfs host planets?), and how these planets compare to those orbiting hotter stars. Although not a statistical mission, the TESS nearly-all-sky transit survey (Ricker et al., 2014) can help to answer this question. TESS will survey 70% of the sky over its two year prime mission, and is therefore well positioned to aid the search for planets around nearby M dwarfs. Compared to Kepler, a much larger percentage of the TESS project’s high-priority target list consists of M dwarfs, including some of the latest-type M dwarfs. One of the first planets discovered by TESS, LHS 3844b (Vanderspek et al., 2019), orbits an M5V star and is consequently proving an excellent target for detailed characterization.
We report here the statistical validation of two exoplanets orbiting LP 791-18 (2MASS J11024596-1624222, TIC 181804752), which was recently observed by TESS. At K this is the third-coolest star known to host exoplanets. Thus like TRAPPIST-1 (Gillon et al., 2017), GJ 1214 (Charbonneau et al., 2009), Proxima Centauri (Anglada-Escudé et al., 2016), and other similar systems, it represents another rare laboratory to study exoplanets around the very smallest stars.
2 Observations
Our target was first identified as a star of more than average interest by Luyten (1979), who noted its high proper motion and red color as part of the Luyten Palomar survey. Therefore we henceforth refer to the star as LP 791-18. The star’s properties were more recently estimated in the TESS Cool Dwarf Catalog (Muirhead et al., 2018). It was found to be an attractive target for TESS transit photometry, and was scheduled for observations at a two-minute cadence during Sector 9 of the TESS prime mission on account of its inclusion on the high-priority TESS Candidate Target List (Stassun et al., 2018b) and as part of TESS Guest Investigator program GO 11180 (PI Dressing). We note that all data products used in the succeeding sections have been made available to the community on the ExoFOP-TESS website222https://exofop.ipac.caltech.edu/tess/target.php?id=181804752. A summary of all relevant stellar and planet properties are given in Tables 1 and 2, respectively.
2.1 TESS Transit Photometry
TESS observed LP 791-18 nearly continuously from March 1–25, 2019 at a two-minute (“short”) cadence. Initial data processing was similar to that of Men (Huang et al., 2018), LHS 3844b (Vanderspek et al., 2019), and other recent TESS discoveries. Analysis by the TESS Science Processing Operations Center (Jenkins, 2002; Jenkins et al., 2016) identified two possible planetary signals, and human vetting of the data reports (N. Guerrero et al., in prep., Twicken et al., 2018; Li et al., 2019) resulted in the announcement of planet candidates TOI-736.01 and .02. The TESS PDC_SAP light curve (Smith et al., 2012; Stumpe et al., 2014) is shown in Fig. 1. Individual transits of the larger, longer-period TOI-736.01 are visible by eye, while the shallower, shorter-period TOI-736.02 can only be seen in the phase-folded photometry. We also used the TESS Quick-Look Pipeline (Huang et al., in prep.) to confirm that the transit-like events are visible in the TESS long-cadence data, but the short transit durations make those data unsuitable for a detailed light-curve analysis.
We used the short-cadence light curve to conduct a transit analysis of both signals, using the same software as described by Crossfield et al. (2016, 2017). The only difference from those analyses of long-cadence K2 photometry is that we now numerically integrate each model light curve over just the two-minute (not 30-minute) duration of each point. As in those analyses, we impose priors on the quadratic limb-darkening coefficients. Based on the stellar parameters derived below and the distribution of coefficients from Claret (2018), we adopted Gaussian priors of and . Our best-fit transit models for both signals are shown in Fig. 1, and the model parameters are listed in Table 2. The best-fit mid-transit times (in BJDTDB) from the TESS photometry are and for TOI-736.01 and .02, respectively.
We performed an independent check on our light curve analysis, using an approach similar to that described by Chontos et al. (2019). This parameterization fits for , , quadratic limb-darkening coefficients (), , , , and a photometric normalization. Again, we assume a linear ephemeris, circular orbit, and quadratic limb darkening law with Gaussian priors imposed. Additional priors were used to constrain to the interval [0,2], to [-1,1], and to ensure . We explored the parameter space using the emcee Markov chain Monte Carlo algorithm (Foreman-Mackey et al., 2012), initializing 100 walkers and having each take 20000 steps. A burn-in phase of 5000 steps was removed before compiling the final posterior distribution for each parameter. Our two transit analyses are consistent, agreeing to within 1 for all of the derived quantities.
Following the methodology of Berardo et al. (2019), we also conducted a search for transit timing variations (TTVs) by fitting each transit of TOI-736.01 individually, allowing only the transit midpoints to vary. By comparing these individual times to a linear ephemeris, we conclude that there are no significant TTVs for either of the signals.
2.2 Stellar Properties From Archival Photometry
We estimate the spectral type of LP 791-18 by comparing the Gaia DR2 photometry and parallax (Gaia Collaboration et al., 2018) to color-type and absolute magnitude-type relations (Kiman et al., 2019). The six possible relations indicate an M dwarf with subclass mean and standard deviation of , which we adopt as the spectral type of our target. LP 791-18 is not elevated above the main sequence when plotted on an optical-infrared color-magnitude diagram, indicating that the star is not an unresolved near-equal mass binary — unless it has a markedly sub-solar metallicity, which we rule out below.
We estimate the stellar mass using the -band mass-luminosity relation of Mann et al. (2019). The statistical and systematic uncertainties on the derived mass are both 0.0033 , so we report . This mass is consistent with that derived from earlier - and -band mass-luminosity relations (Benedict et al., 2016).
We estimate the stellar radius using the absolute-magnitude vs. radius relations of Mann et al. (2015). Those authors indicate that the relations are their most precise. Taking the weighted mean of the three derived radii, we find . This radius and the mass are consistent with the mass-radius relation for low-mass stars (Mann et al., 2015).
We estimate the stellar effective temperature using calibrated photometric color relations. Mann et al. (2015) demonstrate a tight correlation between and , , and . These relations all have intrinsic scatters of about 55 K, so we take the mean of the three derived temperatures to find K. This value is consistent with temperatures estimated from tabulated photometric relations and from our derived spectral type (Kraus & Hillenbrand, 2007; Pecaut & Mamajek, 2013).
We estimate the stellar metallicity using photometric relations. The approach of Schlaufman & Laughlin (2010) gives the best agreement with near-infrared spectroscopic metallicities (Rojas-Ayala et al., 2012). Using their methodology, we find , which implies [Fe/H] (accounting for the relation’s intrinsic scatter and our uncertainty on ). Comparison to the color-magnitude diagram of Kesseli et al. (2019) indicates a consistent metallicity of . We report the weighted mean of these two independent estimates, [Fe/H] .
As previously noted, LP 791-18’s properties were also estimated by Muirhead et al. (2018) using broadband photometry but without the benefit of Gaia DR2. All of their stellar parameters are within 1 of ours (Table 1).
2.3 High-Resolution Spectroscopy
To further characterize the system and check for any evidence of spectroscopic binaries that could indicate a non-planetary origin for the transit signals, we obtained high-resolution spectra from Keck/HIRES and Subaru/IRD.
2.3.1 Keck/HIRES
We acquired an optical spectrum using Keck/HIRES (Vogt et al., 1994) on 2019/06/12. The observation took place in effective seeing and using the C2 decker without the iodine gas cell, giving an effective resolution of . We exposed for 1386 s and obtained S/N of roughly 30 per pixel. Data reduction followed the standard approach of the California Planet Search consortium (Howard et al., 2010).
Using the approach of Kolbl et al. (2015), we examined our spectrum for secondary components that would indicate the presence of another star. We found no evidence of additional lines down to the method’s standard sensitivity limit of mag for km s*-1*, consistent with LP 791-18 being a single, isolated star. Finally, we measured LP 791-18’s absolute radial velocity following Chubak et al. (2012), finding km s*-1*.
We compare our HIRES spectrum with several archival spectra of other cool M dwarfs (Fig. 2). LP 791-18’s spectrum is very similar to an archival HIRES spectrum of the M5V GJ 1214 (suggesting generally similar metallicity and temperature), but with slightly broader K I line (consistent with higher surface gravity). Aside from this pressure-broadened line, the widths of weaker lines in these two stars are indistinguishable, consistent with a low projected rotational velocity for both stars ( km s*-1* for GJ 1214; Charbonneau et al., 2009). In comparison, LP 791-18’s lines are noticeably narrower than those seen in archival HIRES spectra of the M6V Wolf 359, which has km s*-1* (Jenkins et al., 2009). However, we note that if LP 791-18 is typical of old, low-mass M dwarfs and has a rotation period of roughly 100 days (Newton et al., 2017), then km s*-1*. The lack of H emission (see Fig. 2) in a star of this mass also indicates that the star likely has a rotation period days (Newton et al., 2017). Thus the value reported in Table 1 of km s*-1* should be taken as a conservative upper limit.
Several additional lines of evidence are consistent with this interpretation of LP 791-18 as a relatively old star. First, we do not detect the Li line, indicating that LP 791-18 is older than 0.5 Gyr (Reiners & Basri, 2009). Second, H is not seen in emission (see Fig. 2); though there is no true continuum against which to compare the line, H appears to be slightly in absorption (with a similar depth and profile to GJ 1214), suggesting a long rotation period (as noted above) and therefore an age of several Gyr (Newton et al., 2016). Furthermore, comparison of our inferred , , and to evolutionary models of ultracool dwarfs (Fernandes et al., 2019) also indicates an age Gyr. In addition, the Galactic space velocity of LP 791-18 is not consistent with any of the known young moving groups or associations (Gagné et al., 2018), with a 95.7% likelihood of it being a field star (according to BANYAN-SIGMA; Gagné et al., 2018); its dynamics are consistent with the thin disk rather than with the thick disk or halo. All these points, combined with the lack of large-amplitude variations in TESS or MEarth photometry (Newton et al., 2018) suggest that LP 791-18 has an age Gyr, and likely at least several Gyr.
2.3.2 Subaru/IRD
We observed LP 791-18 with the InfraRed Doppler instrument (IRD; Kotani et al., 2018) behind an adaptive optics system (AO188; Hayano et al., 2010) on the Subaru 8.2 m telescope on 2019/06/17. We took 3 spectra with exposure times of 600 s each, with airmass of 1.8–2.0, covering the wavelength range from 0.95–1.76 m at spectral resolution . We processed the spectra using standard tools. An absolute wavelength solution was assigned using Th-Ar calibration spectra (Kerber et al., 2008) and laser frequency comb spectra, both of which were previously taken during daytime observations.
We combined our three exposures into one template spectrum for visual inspection of possible contamination of additional faint star. Achieved signal-to-noise ratio around the peaks of blaze function in the combined spectrum is roughly 30 in , 50 in , and 80 in . As with our HIRES analysis, we do not see any evidence of contaminating lines in the spectrum.
2.4 High-resolution Imaging
TESS has large pixels ( across), which are large enough to contain many additional stars that could potentially be the source of the detected transits. To identify any additional stars around LP 791-18, we obtained several sets of high-resolution imaging data, as described below.
2.4.1 Gemini/‘Alopeke Optical Speckle Imaging
We observed LP 791-18 with the ‘Alopeke speckle imaging instrument (Howell et al., 2011; Scott & Howell, 2018) on the Gemini-North 8.1 m telescope on 2019/06/08. The observations consisted of 18 simultaneous image sets of one thousand 60 ms frames in narrow band filters centered at 562 and 832 nm in good observing conditions, with the native seeing measured to be . Because our target is quite red, the data at 832 nm are superior to those at 562 nm. The speckle images were reduced alongside the point source calibrator star HR 4284 standard reduction procedures (Howell et al., 2011; Matson et al., 2018). Data products include the power spectrum of the speckle patterns of LP 791-18 divided by those of HR 4284, and a reconstructed image of the field centered on the target (shown in Fig. 4).
These data products were inspected for neighboring sources and none were found. Contrast curves were produced from the reconstructed images by normalizing the peak flux of the star and determining the standard deviation in magnitudes among local minima and maxima in the background noise as a function of angular separation from the star. A flux level 5 brighter than the mean of the local extrema is used to define the limiting contrast relative to the LP 791-18. At 832 nm we achieve a contrast of 4.8 mag at , increasing steadily to 7.0 mag at , as shown in Fig. 4.
2.4.2 Keck/NIRC2 AO Imaging and Aperture Masking
On 2019/06/12 we obtained laser guide star adaptive optics (LGS-AO) imaging (Wizinowich et al., 2000) and non-redundant aperture masking interferometry (NRM; Tuthill et al., 2006) of LP 791-18 in two visits separated by 15 minutes with Keck/NIRC2. The observations were taken in vertical angle mode without dithering and using the K’ filter, and the NRM used the 9-hole mask. We also observed two nearby calibrator stars. In all cases we used the smallest pixel scale of 9.952 mas pix*-1*. For imaging we took 12 exposures, each with 20 coadds of 1 s duration and four Fowler samples. For NRM we took 16 interferograms, each with one coadd lasting 20 s and comprising 64 Fowler samples. For the first calibrator we obtained eight images and eight interferograms in similar setups. For the second calibrator we obtained eight images and four interferograms.
On 2019/06/13 we obtained additional LGS-AO imaging of LP 791-18 and the first calibrator star, again in K’ at the same pixel scale. The observations were taken in position angle mode, rotated to align the +y axis of NIRC2 with North. We observed in a 3-point dither pattern that avoided the NIRC2 bad quadrant while stepping the target in offsets of 1.0″, 1.5″, and 2.0″; we did not dither on the calibrator. We took 20 exposures of LP 791-18 using the same settings as in the preceding night, and took eight exposures of the first calibrator.
We reduced each frame and searched the resulting data for companions following Kraus et al. (2016). We used two different strategies for PSF subtraction, applied individually to each image. To search for faint, wide companions at 500 mas, we subtracted a model constructed from the azimuthally-averaged flux profile of LP 791-18. This added no additional noise at wide separations, but left the speckles in place, making it non-ideal for detecting close-in companions. To probe smaller inner working angles we then also subtracted a scaled version of the best-fitting empirical PSF taken from the set of all imaging observations of the calibrator stars. We measured the flux as a function of position within each residual image using 40 mas (radius) apertures centered on every image pixel, and stacked the Strehl-weighted significance maps of each frame in order to compute the final significance map for potential detections around LP 791-18. We measured our detection limits from the distribution of confidence levels among all apertures in a series of 5-pixel annuli around the primary. No apertures contain a statistically significant excess of flux within the NIRC2 field of view, and hence there are no detected astrophysical sources. We pursued similar analysis for both calibrators and found that they also have no astrophysical sources within the observed FOV.
The non-redundant masking observations use a pupil plane mask to resample the telescope into a sparse interferometric array. This allows the use of the complex triple product, or closure-phase observable, to remove non-common path errors produced by atmospheric conditions or variable optical aberrations. To remove systematics in the closure-phase observable, the observation of LP 791-18 was paired with observations of the two calibrator stars, both of which have similar color and brightness and are located within of LP 791-18. Our analysis followed the methods described in the appendix of Kraus et al. (2008). Binary-source models were fit to the calibrated closure phases to search for significant evidence of binarity, and the detection limits were calibrated by repeatedly scrambling the phase errors and determining the distribution of binary fits. Again, no sources were detected in the masking data for LP 791-18.
Fig. 3 shows the effective contrast achieved by our NIRC2 observations. The combination of aperture masking and imaging data excludes many companions to LP 791-18, reaching contrast ratios of mag at mas, mag at mas, mag at mas, mag at mas, and an ultimate limiting magnitude of mag at . Comparison to the MIST isochrones (Dotter, 2016; Morton, 2015) for all stars at the same distance and with Myr shows that our suite of high-resolution imaging data rule out all companions down to the H-burning limit from the NRM inner limit of 20 mas (0.8 AU) out to the edge of the NIRC2 FOV in the dithered data set (, 230 AU). We rule out all companions with spectral types L5 beyond 1.1 AU, T4 beyond 5.4 AU, and T8 beyond 22 AU (Dupuy & Liu, 2012, 2017).
3 Ground-based transit photometry
3.1 Las Cumbres Observatory
We also observed both transit signals using 1.0 m telescopes of the Las Cumbres Observatory (LCO; Brown et al., 2013). We used the TESS Transit Finder, a customized version of the Tapir software package (Jensen, 2013), to schedule the photometric follow-up observations. All observations used a LCO SINISTRO camera with an image scale of 0389 pixel*-1* resulting in a field of view.
We acquired one transit light curve of TOI-736.01 on 2019/06/16 at the South Africa Astronomical Observatory, and two light curves of TOI-736.02 on 2019/06/11 from two telescopes at Siding Spring. The transit of TOI-736.01 comprised 114 images in Bessel-I band using 60 s exposures, for a total duration of 169 minutes. The two transits of TOI-736.02 included 99 min in band with 60 s exposures, and 192 min in Sloan with 100 s exposures. The target star had an average FWHM of , , and , respectively. The nearest known Gaia DR2 star is from LP 791-18: it has and so is too faint to significantly dilute the TESS transit photometry, (and our high-resolution imaging detected no additional companions), so the LCO follow-up apertures are negligibly contaminated by neighboring stars.
All data were calibrated by LCO’s standard BANZAI pipeline and the photometric data were extracted using AstroImageJ (Collins et al., 2017). In all cases, the target star light curve shows a clear transit detection, while a search for eclipsing binaries within that could have caused the transit signal reveals nothing. The transit signal can be reliably detected with apertures having radii as small as , but systematic effects start to dominate for smaller apertures. Fig. 5 shows our LCO photometry, in which transits are clearly visible.
We model all three LCO light curves with BATMAN (Kreidberg, 2015) keeping all parameters — except for and the mid-transit time — fixed to the values derived from the TESS light curve (Table 2). We also include a linear airmass correction model to account for the out-of-transit baseline, and limb darkening was calculated using LDTK (Parviainen & Aigrain, 2015) based on the parameters in Table 1. For TOI-761.01 we measure and , while for TOI-761.02 we measure and (times in ). The LCO transit depths are all consistent with those measured by TESS.
3.2 MEarth-South
LP 791-18 is also a target of the MEarth transit survey (Nutzman & Charbonneau, 2008; Irwin et al., 2015). The MEarth data set consists of 4534 photometric observations obtained with the MEarth-South telescope array between May 2015 and June 2019. These photometric data do not reveal any coherent periodic variations that would indicate a stellar rotation period.
A Box-Least Squares (BLS) search of the MEarth photometry independently reveals a signal with a period of 0.948002 days (shown in Fig. 5), consistent with the TESS ephemeris of TOI-736.02. Due to the near-integer orbital period of TOI-736.01, its transits cannot be recovered in the MEarth photometry (though some combinations of and are ruled out).
We used BATMAN and emcee to model the transits of TOI-736.02 using the combined TESS and MEarth photometry. The values of and were kept fixed at the values obtained from the TESS analysis (Table 2) while , , and were allowed to vary. From this analysis we measure , days, and .
3.3 Refined transit parameters
We use the LCO and MEarth-South data sets to improve the ephemerides and transit depths of both transit signals by taking the weighted mean of and combining the values using weighted least-squares and assuming a linear ephemeris. For TOI-736.01 (undetected by MEarth) we use the results of the TESS and LCO transit analyses, while for TOI-736.02 we use the results of the LCO transit and the combined TESS+MEarth analysis.
We find that for each signal, is consistent across all our analyses and is consistent with a linear ephemeris. Including the ground-based data decreases the uncertainty on by an order of magnitude (for TOI-736.01) and two orders of magnitude (for TOI-736.02). We report the final values of , , , and for both TOIs in Table 2.
4 Statistical Validation of the Candidates
Although transits are clearly seen by TESS (Fig. 1) and from the ground (Fig. 5), many TESS candidates have been identified as false positives333https://exofop.ipac.caltech.edu/tess/ and so we must verify that the observed signals are planetary in origin. Since the precise Doppler spectroscopy needed to confirm these signals as planets will likely need to wait until LP 791-18 rises again for the next season, we demonstrate below that the signals are far more likely to be planetary than of any other origin. Below, we consider whether LP 791-18 could be blended with a background eclipsing binary, and then whether LP 791-18 itself could be a multiple star system. We find that both scenarios are unlikely, indicating that our planet candidates are likely to be true transiting planets.
4.1 Independent Signal Validation
We used the Discovery and Validation of Exoplanets tool444https://github.com/barentsen/dave (dave; Kostov et al., 2019a, b), along with the short-cadence pixel files and photometry, to independently estimate the quality of the candidate planet signals. We find no significant secondary eclipses or odd-even differences (which would otherwise indicate an eclipsing binary instead of a transiting planet) for either TOI. We find no significant photocenter shift (which would indicate a blend of multiple stars, and possible source confusion) for TOI-736.01. For TOI-736.02 the individual difference images per transit are too noisy for DAVE to provide an accurate photocenter analysis. Nonetheless, neither candidate shows indications of being a false positive.
The dave results are consistent with the TESS project’s data validation tests (Twicken et al., 2018; Li et al., 2019), which both TOIs passed. These tests include the odd-even transit depth test, the weak secondary test, the ghost diagnostic test, the difference image centroid offset test (0.35 and 0.5 sigma for the TIC offset for candidates 1 and 2, respectively, representing less than offsets from the TIC position), and the statistical bootstrap test (which gave and for TOIs 736.01 and .02, respectively).
4.2 Unassociated background scenarios:
Our ground-based photometry demonstrates that transits occur close to LP 791-18, but a background system could lie near the star and mimic planetary transits. Given its high proper motion, LP 791-18 has moved considerably since its detection by the Palomar Optical Sky Survey in the 1950s. No source is visible in the digital POSS-I images at the star’s location during the TESS epoch. By comparing these images to SDSS DR9 photometry, we confidently exclude any background object down to a limit of approximately , (AB mags), corresponding to , (Vega mags555http://www.sdss3.org/dr8/algorithms/sdssUBVRITransform.php). Since the broad TESS bandpass is quite red (Ricker et al., 2014) we assume that the limiting TESS magnitude is , 4.8 mag fainter than LP 791-18. We therefore exclude all background sources as the source of TOI-736.01’s transits.
From POSS-I and TESS alone we cannot rule out all such background scenarios for the shallower TOI-736.02 (since its transit depth is ), but our LCO transit observations demonstrate that these events occur within a few arcsec of LP 791-18. Since our high-resolution imaging shows no additional sources, this all but eliminates the chance that this shallower candidate is a background system. A 4.8 mag-fainter source could reproduce the 736.02 transits (with depth roughly 0.4%) if it had a 40% (intrinsic) transit depth – or if it had mag and were completely eclipsed. The only allowable brightness of a background source is in the range 18.3–19.4 mag. We used the TRILEGAL Galactic stellar population simulator666http://stev.oapd.inaf.it/cgi-bin/trilegal (Girardi et al., 2005) to find a 0.2% chance that our LCO photometric aperture would contain a star with this brightness. If these simulated stars were actually equal-mass binaries with day, the average transit probability of the ensemble (assuming ) is 17%. The median star in this distribution is a 0.4 M dwarf, and the tight binary fraction of such stars is about 3% (Blake et al., 2010; Clark et al., 2012). The product of these factors is the likelihood that TOI-736.02 is a background false positive: this is , so we conclude that both transit signals are unlikely to arise from blends with a background eclipsing binary.
4.3 Bound, Multi-star scenario:
We now consider the scenario that LP 791-18 is itself a multiple system with transits occurring around just one component — this, too, turns out to be unlikely. M dwarfs in the Solar neighborhood with 0.075–0.3 have a multiplicity fraction of about 20% (Winters et al., 2019). Following the parameters given in that work, we simulated a distribution of binary companions to LP 791-18 with a log-normal distribution in that peaks at 10 AU, with , and with a linearly-increasing mass fraction distribution from 0.1 to unity.
We then compare this population of plausible companions to our observations: we see no companions in our high-resolution imaging; the system is not overluminous relative to the M dwarf H-R diagram; the host star’s density is constrained by the transit light curve analysis ( in Table 2; Seager & Mallén-Ornelas, 2003); companions of later type than roughly L5 () would be too faint to be the source of the transit signals (Dahn et al., 2002); and we see no evidence for secondary lines in our high-resolution optical spectrum. Fig. 6 shows that our observations cover all relevant regions of false positive parameters space.
After accounting for the possibility that, by chance, some wide companions could have a very low projected separation from LP 791-18 and some short-period companions could have had zero velocity offset from LP 791-18, we still find just a 0.7% chance that an additional companion is the source of the transit signals and went unnoticed by our observations. The remaining possible configurations involve a 0.03–0.04 brown dwarf orbiting LP 791-18 with AU and nearly or fully eclipsed by a giant planet or brown dwarf.
Taking the distribution of mass fractions and semimajor axes of low-mass stellar binaries (Winters et al., 2019), and accounting for random orbital alignments, we calculate that a star like LP 791-18 has a 0.04% chance of being in an eclipsing binary with days and companion mass 0.03–0.04. This is far less than its 66% chance of having a planet with with on a similar period (Dressing & Charbonneau, 2015). It is therefore far more likely that LP 791-18 is a single planet-hosting star than that it is a false positive with a eclipsing brown-dwarf binary. Thus we conclude that the signals detected by TESS represent exoplanets transiting the M6V star LP 791-18. Henceforth we denote TOI-736.02 (the smaller, inner planet) as LP 791-18b and TOI-736.01 as LP 791-18c.
5 Discussion
5.1 On Multiplicity and Additional Planets
There is evidence that the multiplicity of short-period planets is high for stars at the latest spectral types, even though few planet host stars are known at these coolest temperatures (cf. Fig. 7). Aside from LP 791-18, just seven planetary systems are known with K. Four of these are multiple systems: TRAPPIST-1 (seven planets; Gillon et al., 2016, 2017), YZ Ceti (three planets; Astudillo-Defru et al., 2017; Robertson, 2018), Kepler-42 (three planets; Muirhead et al., 2012), and Teegarden’s Star (two planets; Zechmeister et al., 2019). Three have just a single known planet: GJ 1214 (Charbonneau et al., 2009), LHS 3844 (Vanderspek et al., 2019), and Proxima Centauri (Anglada-Escudé et al., 2016).
To verify that additional planets could exist on stable orbits around LP 791-18 with between the two transiting planets, we performed a series of N-body dynamical simulations using the Mercury Integrator Package (Chambers, 1999) and following the methodology of Kane (2015). We assessed the stability of circular orbits between the two known planets by placing a hypothetical Earth-mass planet at in the range 0.01–0.03 AU in steps of 0.0005 AU. Each simulation was run for yr, a sufficient time span given the very short orbital periods involved. Our simulations show that stable orbits are possible in the range 0.011–0.0255 AU (although large planets close to low-order resonance with LP 791-18 c are unlikely due to the absence of observed TTVs).
To look for additional planets, we ran a BLS analysis of the TESS photometry but found no significant signals. We also injected a series of planet transit signals into the TESS photometry and ran a BLS analysis on the simulated data. For an intermediate period (e.g., days), transiting planets with should have been seen in the TESS data. For planets on longer periods (e.g., days), would have been detected. Thus planets the size of those orbiting TRAPPIST-1 would be unlikely to have been detected by TESS around LP 791-18. There could easily be Earth-sized planets orbiting LP 791-18 that went undetected by TESS. In particular, the cloud-free habitable zone for a star like LP 791-18 extends from approximately days (Kopparapu et al., 2013, 2014), a range only poorly sampled by the existing TESS photometry.
Additional planets could be identified by long-duration time-series photometry (as were sought around GJ 1214; Fraine et al. 2013; Gillon et al. 2014, and seen around TRAPPIST-1; Gillon et al.; Luger et al.). However, just a few degrees of mutual misalignment between the planets’ orbits would result in any extra planets failing to transit. Assuming circular orbits, Earth-size planets with 2.5 days and 7 days would need to be misaligned by 2.7o and 1.3o, respectively, in order not to transit. For reference, the mutual misalignments of the TRAPPIST-1 planets are (Gillon et al., 2017), while many other ultra-short period planets have much higher mutual inclinations of 6.7o (Dai et al., 2018).
5.2 LP 791-18 b and c
These two small planets have sizes of and , and so straddle the radius gap at about 1.8 that separates smaller, higher-density super-Earths from larger, more rarified sub-Neptunes (Fulton et al., 2017; Fulton & Petigura, 2018). It remains an open question as to whether this radius gap (measured from FGK systems) extends to planets orbiting M dwarfs, or to planets with this combination of small size and low irradiation.
It seems entirely likely that the masses of these new planets can be measured in the near future, which would help to better determine their overall composition. By comparison to theoretical mass-radius relations (Valencia, 2011) we expect the two planets to have masses of 0.5–4 (for bulk compositions ranging from Moon-like to Mercury-like) and 5–20 (for bulk compositions ranging from a 50-50 water-rock mix to a 0.01% H2/He veneer on a rocky core) for planets b and c, respectively. These compositions correspond to RV semiamplitudes of 1–9 m s*-1* and 7–26 m s*-1*. A mass and radius could distinguish between different refractory compositions of LP 791-18b, but the degeneracies inherent in modeling larger planets means that RV observations can constrain, but not uniquely determine, the bulk makeup of LP 791-18c. The star’s red color and relatively low apparent brightness means that RV follow-up is likely to be most productive when pursued by facilities on large (8 m) telescopes and/or with extended coverage into the red-optical or near-infrared.
Because of the poor constraints on the impact parameters in the light curve, we cannot deduce much about the mutual inclination of these two planets; measurement of the Rossiter-McLaughlin effect or Doppler tomography observations would provide an orthogonal constraint on the dynamical architecture. However, these measurements are probably only feasible if LP 791-18 has km s*-1*, substantially larger than expected for a quiescent star of this type (though barely consistent with our Keck/HIRES and Subaru/IRD spectra). Even then, the short transit durations would make it difficult to obtain the necessary S/N in exposures that are short enough to provide good temporal sampling of the transit.
Atmospheric characterization of these planets is also feasible. We simulated model transmission spectra for these planets using ExoTransmit (Kempton et al., 2017) and assuming planet masses of 2 and 7, and atmospheric compositions of 100% H2O and 100 Solar metallicity, for LP 791-18b and c, respectively. Our model atmospheres assumed no clouds and chemical equilibrium, and set the 1 bar radius equal to the transit radius observed by TESS. These models predict peak-to-valley transmission signals for planets b and c of roughly 150 ppm and 500 ppm, with the difference set largely by the two models’ differing mean molecular weights. If the planets have lower masses or lower-metallicity atmospheres than assumed above, the desired atmospheric signals would be even stronger.
We then used PandExo777https://github.com/natashabatalha/PandExo (Greene et al., 2016; Batalha et al., 2017) to simulate JWST observations of a single transit of each planet using the NIRspec prism () and MIRI LRS (5-12m) instruments modes, with a baseline of equal time to the transit time and zero noise floor. Assuming an effective resolution of we find that the median per-channel uncertainty on the transit depth would be 220 ppm and 150 ppm, respectively, with the difference set by the planets’ transit durations. For the larger, cooler LP 791-18c JWST should be able to identify atmospheric features in the spectrum between with just a single transit, indicating that it could be a compelling target for atmospheric follow up. For the smaller, warmer LP 791-18b multiple transits would likely be needed to probe the composition of the planet’s atmosphere (if any).
5.3 Concluding Thoughts
Fig. 7 shows that LP 791-18 is the third-coolest star known to host planets. The discovery of the TRAPPIST-1 system spurred many new studies into star-planet interactions (Dong et al., 2018), multiplanet dynamics (Luger et al., 2017), atmospheric escape (Wang & Dai, 2018), planet formation (Haworth et al., 2018), and atmospheric measurements (Barstow & Irwin, 2016) of small planets around low-mass stars. Along with the new planets orbiting Teegarden’s Star (Zechmeister et al., 2019), LP 791-18 now adds another multiplanet system against which to test these theories via the system properties presented here, through further detailed characterization of the planets and their host star, and by searching for additional planets orbiting this cool dwarf.
The authors thank Prof. N. Lewis for a stimulating and thought-provoking discussion that improved the quality of this work. We thank Hiroki Harakawa, Tomoyuki Kudo, Masashi Omiya, Aoi Takahashi, the entire IRD team, and the Subaru IRD TESS intensive follow-up project team for supporting Subaru IRD observation. I.J.M.C. acknowledges support from the NSF through grant AST-1824644, and from NASA through Caltech/JPL grant RSA-1610091. M.R.K acknowledges support from the NSF Graduate Research Fellowship, grant No. DGE 1339067. D.H. acknowledges support by the National Aeronautics and Space Administration (80NSSC18K1585, 80NSSC19K0379) awarded through the TESS Guest Investigator Program. Work by J.N.W. was supported by the Heising-Simons Foundation. B.R-A. acknowledges support from FONDECYT through grant 11181295. W.W. acknowledges support from the NSF GRFP, DGE 1650115. N.N. is supported by JSPS KAKENHI Grant Numbers JP18H01265 and JP18H05439, and JST PRESTO Grant Number JPMJPR1775. A.J.C. acknowledges support from the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE 1842402. D.B. acknowledges support from an NSERC PGS-D scholarship. The MEarth Team gratefully acknowledges funding from the David and Lucille Packard Fellowship for Science and Engineering (awarded to D.C.) and the National Science Foundation under grants AST-0807690, AST-1109468, AST-1004488 (Alan T. Waterman Award), and AST-1616624. This publication was made possible through the support of a grant from the John Templeton Foundation. The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the John Templeton Foundation. We acknowledge the use of TESS Alert data, which is currently in a beta test phase, from pipelines at the TESS Science Office and at the TESS Science Processing Operations Center. This research has made use of the Exoplanet Follow-up Observation Program website, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program. This paper includes data collected by the TESS mission, which are publicly available from the Multimission Archive for Space Telescopes (MAST). Some of the observations in this paper made use of the High-Resolution Imaging instrument ‘Alopeke at Gemini-North. ‘Alopeke was funded by the NASA Exoplanet Exploration Program and built at the NASA Ames Research Center by Steve B. Howell, Nic Scott, Elliott P. Horch, and Emmett Quigley. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center for the production of the SPOC data products. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Mauna Kea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain. Data and materials availability: All associated data products are available for download from ExoFOP-TESS website, https://exofop.ipac.caltech.edu/tess/target.php?id=181804752. Facilities: TESS, Gaia, Gemini (‘Alopeke), Keck I (HIRES), Keck II (NIRC2), Subaru (IRD), LCO
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