A publishing partnership

TOI 122b and TOI 237b: Two Small Warm Planets Orbiting Inactive M Dwarfs Found by TESS

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and

Published 2020 December 7 © 2020. The American Astronomical Society. All rights reserved.
, , Citation William C. Waalkes et al 2021 AJ 161 13 DOI 10.3847/1538-3881/abc3b9

Download Article PDF
DownloadArticle ePub

You need an eReader or compatible software to experience the benefits of the ePub3 file format.

1538-3881/161/1/13

Abstract

We report the discovery and validation of TOI 122b and TOI 237b, two warm planets transiting inactive M dwarfs observed by the Transiting Exoplanet Survey Satellite (TESS). Our analysis shows that TOI 122b has a radius of 2.72 ± 0.18 R and receives 8.8 ± 1.0 times  Earth's bolometric insolation, and TOI 237b has a radius of 1.44±0.12 R and receives 3.7 ± 0.5 times Earth's insolation, straddling the 6.7 × Earth insolation that Mercury receives from the Sun. This makes these two of the cooler planets yet discovered by TESS, even on their 5.08 and 5.43 day orbits. Together, they span the small-planet radius valley, providing useful laboratories for exploring volatile evolution around M dwarfs. Their relatively nearby distances (62.23 ± 0.21 pc and 38.11 ± 0.23 pc, respectively) make them potentially feasible targets for future radial velocity follow-up and atmospheric characterization, although such observations may require substantial investments of time on large telescopes.

Export citation and abstract BibTeX RIS

1. Introduction

The Transiting Exoplanet Survey Satellite (TESS; Ricker et al. 2015) follows the 8 year missions of Kepler (Borucki et al. 2010) and K2 (Howell et al. 2014), which discovered thousands of planets. While Kepler typically found planets orbiting faint and distant stars, TESS is examining the brightest and nearest stars for evidence of exoplanet transits. Over the course of its 2 year primary mission, TESS has surveyed 85% of the sky, looking at over 200,000 nearby stars with a 2 minute cadence and many more stars with the 30 minute full-frame images (FFIs). TESS is expected to find up to 4500 planets, 500–1200 planets orbiting M dwarfs, and about 50 planets within 50 pc (see Sullivan et al. 2015; Barclay et al. 2018; Ballard 2019).

M dwarfs are interesting targets for transiting exoplanet studies as they provide the best opportunity for finding temperate terrestrial planets (Blake et al. 2008; Nutzman & Charbonneau 2008). All main-sequence stars less massive than 0.6 M fall into the M-dwarf category, and they are the most numerous stellar type in the universe (e.g., Chabrier & Baraffe 2000). These stars are very cool (2000 K < Teff < 4000 K) and very small, so cool planets have shorter periods, higher transit probabilities, and deeper transits than they would around larger stars.

M dwarfs tend to host terrestrial exoplanets more often than gas giants (Bowler et al. 2015; Mulders et al. 2015), and these terrestrial planets can more readily be found at lower insolations given the low luminosities of M dwarfs. Finally, M dwarfs have such long lifetimes that not a single M dwarf ever formed has yet evolved off the main sequence (Laughlin et al. 1997), making these stellar systems interesting laboratories for very long timescale planetary evolution. For a comprehensive review of M dwarfs as exoplanet host stars, see Shields et al. (2019). While the habitability of planets around M dwarfs remains an open question, the low insolations of M dwarf planets on short periods creates opportunities for statistically studying the presence and evolution of planetary atmospheres.

The first year of TESS yielded several small exoplanets orbiting M dwarfs such as LHS 3844b (Vanderspek et al. 2019), the L 98-59 system (Cloutier et al. 2019; Kostov et al. 2019), the TOI 270 system (Günther et al. 2019), the Gl 357 system (Luque et al. 2019), LTT 1445Ab (Winters et al. 2019), the LP 791-18 system (Crossfield et al. 2019), and L 168-9b (Astudillo-Defru et al. 2020). The two planets we present in this paper are challenging for precise radial velocity (RV) mass measurements, but both are smaller than 3 R and their low insolations and short periods (see Figure 1) position them as interesting candidates for atmospheric follow-up. They may have retained their atmospheres despite being too hot to be considered habitable and may help us understand atmospheric evolution and the diversity of atmospheres of small planets.

Figure 1.

Figure 1. All confirmed exoplanets and current TESS Objects of Interest (TOIs) (as of 2020 February) with current values for Rp (R) and S (S). Orange points are the TOIs (validated and unvalidated), while the gray points are all confirmed exoplanets (as of 2020 March). Highlighted in green is the "recent Venus-early Mars" habitable zone covering 0.25–1.5 S (e.g., Kopparapu et al. 2019), in which a few systems fall. This optimistic habitable zone is likely shifted to lower insolations for M dwarfs given more recent studies of energy budgets and albedos for M-dwarf planets (Shields et al. 2019).

Standard image High-resolution image

The rest of the paper is organized as follows. In Section 2 we describe the TESS observations, the photometric and spectroscopic follow-up data we gathered, and arguments against these planets being false positives. In Section 3 we describe the results of stellar parameter estimation and transit light-curve fitting, and in Section 4 we discuss the results and their implications for future work.

2. Data

2.1. TESS Photometry

TESS has four 24° × 24° field-of-view cameras, each with four 2k × 2k CCDs. The TESS bandpass is 600–1000 nm, and the pixel scale is 21'' (Ricker et al. 2015). For our analysis of the TESS light curves (Figure 2), we accessed the TESS data using lightkurve (Lightkurve Collaboration et al. 2018) and downloaded the Science Processing Operations Center (SPOC; Jenkins et al. 2016) Presearch Data Conditioning Simple Aperture Photometry (PDCSAP) flux light curves (Smith et al. 2012; Stumpe et al. 2012, 2014). The light curves shown in Figure 2 are 2 minute cadence data phase-folded to the orbital periods we refined in this work.

Figure 2.

Figure 2. TESS light curves, phase-folded across a full 27 day sector to the periods refined in this work. We model these light curves with a three-parameter MCMC that explores values for transit depth, inclination, and the scaled semimajor axis. The best-fit model (50th percentile values) is the black line, and red lines are random samples drawn from the posterior distributions. The posteriors from the TESS light curves are consistent with the posteriors for the follow-up observations, with larger uncertainties. The follow-up observations have allowed us to constrain the transit parameters effectively.

Standard image High-resolution image

TOI 122b (TIC 231702397) was observed in Sector 1 of TESS from 2018 July 25 to 2018 August 22 with CCD 1 of Camera 2. Four transits were observed with a 5.1 day period and a 6 ppt depth. The SPOC pipeline flagged the light curve as a planet candidate and it was submitted to the MIT TOI alerts page 34 (Guerrero et al., submitted), where we accessed the preliminary SPOC data validation transit parameters (Twicken et al. 2018; Li et al. 2019) and scheduled follow-up observations with ground-based observatories. Preliminary parameters indicated that the stellar host was an M dwarf, implying that the orbiter was super-Earth or sub-Neptune in size.

TOI 237b (TIC 305048087) was observed in Sector 2 of TESS from 2018 August 22 to 2018 September 20 with CCD 1 of Camera 1. Five transits were observed with a 5.4 day period and a 6 ppt depth. The SPOC pipeline flagged the light curve as a planet candidate and it was submitted to the MIT TOI alerts page, where we accessed the preliminary transit parameters and scheduled follow-up observations with ground-based observatories. Preliminary parameters indicated that the stellar host was an M dwarf, implying that the orbiter was also super-Earth in size.

2.2. Ground-based Photometry

The follow-up observations are summarized in Table 1. Both systems were observed extensively as part of the TESS Follow-up Observing Program Sub-Group 1 (TFOP SG1) photometric campaign. Ground-based observations span several months for both targets, from observatories around the globe. For both TOI 122 and TOI 237, we used the TESS transit finder tool, which is a customized version of the Tapir software package (Jensen 2013), to schedule the photometric time-series observations. Ground-based light curves used in the analysis are shown in Figures 3 and 4.

Figure 3.

Figure 3. Light curves for all eight of the viable follow-up transits of TOI 122b. Best-fit MCMC models are in black with 200 random samples plotted in red. Requiring that the transit depth, semimajor axis, and inclination were identical between visits led to a consistent model that fit all the transits.

Standard image High-resolution image
Figure 4.

Figure 4. Light curves for ground-based follow-up transits of TOI 237b. Best-fit MCMC models are in black with 200 random samples plotted in red. Requiring that the transit depth, semimajor axis, and inclination were consistent between visits led to a final model that fit all the transits.

Standard image High-resolution image

Table 1. Ground-based Follow-up Observations of the Two Planets, with Mid-transit Times (if a Transit is Detected), Exposure Times, and Filters

DateObservatoryFilterExposure Time (s)Aperture Radius ('')Transit Midpoint (BJD TDB)
TOI 122b
2018-09-18SSO iTelescopeClear1204.8(Egress Only)
2018-09-18LCO SSO (1 m) r'1804.282458379.901563${}_{-0.001189}^{+\mathrm{0.0.001239}}$
2018-09-18LCO SSO (1 m) i'303.89 
2018-10-18LCO SAAO (1 m) I 425.45(Too Noisy)
2018-11-2TRAPPIST South (0.6 m) I + z'605.22458425.602564${}_{-0.000633}^{+0.000630}$
2018-11-2LCO CTIO (1 m) I 424.67 
2019-07-10LCO SAAO (1 m) I 505.06 ${2458674.427546}_{-0.000751}^{+0.000773}$
2019-07-15LCO SAAO (1 m) I 503.50(Too Noisy)
2019-07-25LCO CTIO (1 m) g'2404.672458689.657695${}_{-0.001122}^{+0.001223}$
2019-07-25LCO CTIO (1 m) g'2403.89 
2019-08-4LCO CTIO (1 m) V 2405.45 ${2458699.817618}_{-0.001965}^{+0.001866}$
TOI 237b
2018-12-16LCO SAAO (1 m) i'654.67(Bad Ephemeris)
2019-05-7LCO SAAO (1 m) i'1003.89(Bad Ephemeris)
2019-06-2TRAPPIST South (0.6m) I + z'605.2 ${2458637.922471}_{-0.001352}^{+0.001419}$
2019-06-14LCO CTIO (1 m) I 606.22 ${2458648.797058}_{-0.001739}^{+0.001854}$
2019-06-19LCO CTIO (1 m) I 608.56(Too Noisy)
2019-08-2LCO CTIO (1 m) I 755.452458697.7197997${}_{-0.000815}^{+0.000796}$
2019-08-2LCO CTIO (1 m) g'3004.67 
2019-08-13LCO SAAO (1 m) I 704.67 ${2458708.592274}_{-0.001178}^{+0.001521}$
2019-09-3LCO SAAO (1 m) I 705.06 ${2458730.341868}_{-0.001559}^{+0.001127}$

Note. For data sets in which a transit is not detected, this could be due to the transit being missed entirely, or the transit being obscured by noise. LCO is the Las Cumbres Observatory which includes SAAO, the South African Astronomical Observatory, CTIO, the Cerro-Telolo Interamerican Observatory, and SSO, the telescopes at the Siding Spring Observatory. SSO iTelescope is the Siding Spring Observatory iTelescope, which is not part of the LCO network. Observations from this site unfortunately missed most of the transit so we do not include these data in our analysis. We report mid-transit times based on the joint modeling described in the text.

Download table as:  ASCIITypeset image

Las Cumbres Observatory (LCO) photometry. Most photometric data were taken at Las Cumbres Observatory sites via the Las Cumbres Observatory Global Telescope (LCOGT) network (Brown et al. 2013). These observations were done with 1 m telescopes equipped with Sinistro cameras which have a plate scale of 0389 and a field of view of 264 × 264. Filters and photometric aperture radii vary between observations and are provided in Table 1. Additional information and the full data sets can be found on ExoFOP-TESS. 35

LCOGT data are reduced via a standard reduction pipeline (BANZAI; McCully et al. 2018) which performs bias and dark subtractions, flat-field correction, bad pixel masking, astrometric calibration, and source extraction. 36 We scheduled most observations in red bandpasses (I, i', z) where the signal-to-noise ratio (S/N) is highest for M dwarfs. Observing windows were chosen to include the full transit along with 1–3 hr of the pre- and post-transit baselines. Many of our observations were defocused, to allow longer integration times for brighter stars and to smear the point-spread function (PSF) over more pixels, reducing any error introduced by uncertainties in the flat field.

We performed differential aperture photometry on the data using the AstroImageJ tool (Collins et al. 2017). Using a finder chart, we drew apertures of varying radii (see Table 1) around the target star, 2–6 bright comparison stars, and any stars of similar brightness within 25. Light curves of the nearby stars were examined for evidence of being eclipsing binaries, variable stars, or the true source of the transit signal in TESS' large pixels. For both of these systems, the transit was found around the target star, and no evidence of nearby eclipsing binaries or periodic stellar variation was found within 25 that could have given rise to the transit signal.

TRAPPIST-South photometry. TRAPPIST-South at ESO-La Silla Observatory in Chile is a 60 cm Ritchey-Chretien telescope, which has a thermoelectrically cooled 2k × 2k FLI Proline CCD camera with a field of view of 22' × 22' and pixel scale of 065 pixel−1 (Jehin et al. 2011; Gillon et al. 2013). We carried out a full-transit observation of TOI 122 on 2019 November 2 with the I + z filter with an exposure time of 60 s. We took 222 images and made use of AstroImageJ to perform aperture photometry, using an aperture radius of 8 pixels (52) given the target PSF of 37. We confirmed the event on the target star on time and we cleared all the stars of eclipsing binaries within the 25 around the target star. For TOI 237 the observations were carried out on 2019 June 2 with the I + z filter and exposure time of 60 s. We took 207 images and used AstroImageJ to perform the aperture photometry, using an aperture radius of 8 pixels (52) given the target PSF of 43.

2.3. Southern Astrophysical Research Telescope Speckle Imaging

High-angular resolution imaging is needed to search for nearby sources not resolved in the seeing-limited ground-based photometry. Nearby sources can contaminate the TESS photometry, resulting in a diluted transit and an underestimated planetary radius. We searched for nearby sources to TOI 122 with the Southern Astrophysical Research (SOAR) telescope speckle imaging (Tokovinin 2018) on 2018 December 21 in the I band, a similar visible bandpass as TESS. Further details of observations from the SOAR TESS survey are available in Ziegler et al. (2020). We detected no nearby stars within 3'' of TOI 122 within the 5σ detection sensitivity of the observation, which is plotted along with the speckle autocorrelation function in Figure 5. Companions within 2.5 mag of the target (which could dilute transit depths by 10%) are excluded down to separations of about 03.

Figure 5.

Figure 5. 5σ detection limits of SOAR speckle imaging for TOI 122. The inset shows that no companions were detected down to a limit of 3''.

Standard image High-resolution image

2.4. Stellar Spectra

Magellan spectra. We obtained near-infrared (near-IR) spectra of TOI 122 and TOI 237 on 2018 December 22 with the Folded-port InfraRed Echellete (FIRE) spectrograph (Simcoe et al. 2008). FIRE is hosted on the 6.5 Baade Magellan telescope at LCO. It covers the 0.8–2.5 μm band with a spectral resolving power of R = 6000. Both targets were observed in the ABBA nod patterns using the 06 slit. TOI 122 was observed three times and TOI 237 was observed twice, both at a 160 s integration time. A nearby A0V standard was taken for both targets in order to aid with telluric corrections. The reduction of the spectra were completed using the FIREhose IDL package. 37

SALT–HRS spectra. We obtained optical echelle spectra for each system using the High-Resolution Spectrograph (HRS; Crause et al. 2014) on the Southern African Large Telescope (SALT; Buckley et al. 2006). Two observations were made for each system (TOI 122 on 2019 August 9, 10; TOI 237 on 2019 August 10, 12), with each epoch consisting of three consecutive integrations in the high-resolution mode (R ∼ 46,000). The spectra were reduced using a HRS-tailored reduction pipeline (Kniazev et al. 2016, 2017), 38 which performed flat-fielding and wavelength calibration. Due to the faint apparent magnitudes of these systems, we focused our analysis on wavelengths greater than 5000 Å, where the spectra had an S/N >10.

To determine systemic radial velocities for both systems and to search for spatially unresolved stellar companions, we computed spectral-line broadening functions (BFs) for each observation. The BF is computed via a linear inversion of the observed spectrum with a narrow-lined template, and represents a reconstruction of the average photospheric absorption-line profile (Rucinski 1992; Tofflemire et al. 2019). For both systems, the BF is clearly single peaked, indicating a contribution from only one star. Figure 6 presents a region of the SALT–HRS spectrum for each system with its corresponding template and BF.

Figure 6.

Figure 6. Left: region of a SALT–HRS spectrum (blue) with the corresponding synthetic template (orange), where we have offset the flux slightly for clarity. Right: the BF computed from this spectral region. Inspection of the BF and individual spectral lines indicates that each system is single lined, and does not host a short-period stellar companion. Note that the model temperatures cited on the figure are higher than the values we report for these two stars; this is discussed in Section 4.2.

Standard image High-resolution image

For each spectrum, the BFs computed for each echelle order were combined and fit with a Gaussian profile to determine the system's RV. Uncertainties on these measurements were derived from the standard deviation of the line fits for BFs combined from three independent subsets of the echelle orders. The RV for each epoch was then calculated as the error-weighted mean of the three consecutive measurements from each night. More detail on this process can be found in Tofflemire et al. (2019). From the two epochs spaced one to two days apart, we found no evidence for RV variability. The mean and standard error of the RV measurements are provided in Tables 2 and 3.

Table 2. System Parameters for TOI 122b

ParameterValueSource
TOI 122
TIC ID231702397TICv8
R.A. (J2000)22:11:47.300TICv8
Decl. (J2000)−58:56:42.25TICv8
TESS Magnitude13.048 ± 0.007TICv8
Apparent V Magnitude15.526 ± 0.026TICv8
Apparent J Magnitude11.531 ± 0.024TICv8
Apparent H Magnitude11.020 ± 0.022TICv8
Apparent K Magnitude10.771 ± 0.021TICv8
Gaia DR2 ID6411096106487783296Gaia DR2
Distance (pc)62.23 ± 0.21Gaia DR2
Proper Motion R.A. (mas yr−1)138.138 ± 0.089Gaia DR2
Proper Motion Decl. (mas yr−1)−235.81 ± 0.076Gaia DR2
Gaia G mag14.3357Gaia DR2
Gaia RP mag13.1523Gaia DR2
Gaia BP mag15.7971Gaia DR2
Stellar Mass (M)0.312 ± 0.007Derived from Mann et al. (2019)
Stellar Radius (R)0.334 ± 0.010Derived from Mann et al. (2015)
Teff (K)3403 ± 100Derived from Mann et al. (2015)
Luminosity (L)0.0140 ± 0.0003Derived from Mann et al. (2015)
Stellar log g 4.88 ± 0.05This Work
RV (km s−1)−72.4 ± 1.0This Work
Stellar Density (g cm−3)12.8${}_{-4.2}^{+9.5}$ This Work
v sini (km s−1)≤7.2This Work
Hα Equivalent Width (Å)0.09This Work
TOI 122b
Period (days)5.078030 ± 0.000015This Work
Transit Depth (%)0.56This Work
Rp/R 0.075 ± 0.003This Work
Planet Radius (R)2.72 ± 0.18This Work
Planet Mass (M)8.8${}_{-3.1}^{+9.0}$ Predicted from Chen & Kipping (2017)
Planet Type100% NeptunianPredicted from Chen & Kipping (2017)
$\tfrac{a}{{R}_{\star }}$ 25.2 ± 1.5This Work
Semimajor Axis (au)0.0392 ± 0.0007This Work
i (degrees)88.4${}_{-0.4}^{+0.6}$ This Work
Impact Parameter (b)0.72${}_{-0.18}^{+0.07}$ This Work
Insolation (S)8.8 ± 1.0This Work
Equilibrium Temperature, Teq (K): This Work
Bond Albedo = 0.75 (Venus-like)333 
Bond Albedo = 0.3 (Earth-like)431 
Bond Albedo = 0 (Upper Limit)471 

Note. TICv8 information can be found in Stassun et al. (2019).

Download table as:  ASCIITypeset image

Table 3. System Parameters for TOI 237b

ParameterValueSource
TOI 237
TIC ID305048087TICv8
R.A. (J2000)23:32:58.270TICv8
Decl. (J2000)−29:24:54.19TICv8
TESS Magnitude13.410 ± 0.007TICv8
Apparent V Magnitude16.37 ± 0.20TICv8
Apparent J Magnitude11.74 ± 0.02TICv8
Apparent H Magnitude11.019 ± 0.022TICv8
Apparent K Magnitude10.896 ± 0.025TICv8
Gaia DR2 ID2329387852426700800Gaia DR2
Distance (pc)38.11 ± 0.23Gaia DR2
Proper Motion R.A. (mas yr−1)151.047 ± 0.108Gaia DR2
Proper Motion Decl. (mas yr−1)−333.194 ± 0.156Gaia DR2
Gaia G mag14.754Gaia DR2
Gaia RP mag13.5016Gaia DR2
Gaia BP mag16.4447Gaia DR2
Stellar Mass (M)0.179 ± 0.004Derived from Mann et al. (2019)
Stellar Radius (R)0.211 ± 0.006Derived from Mann et al. (2015)
Teff (K)3212 ± 100Derived from Mann et al. (2015)
Luminosity (L)0.0041 ± 0.0001Derived from Mann et al. (2015)
Stellar log g (cgs)5.04 ± 0.07This Work
RV (km s−1)7.8 ± 1.0This Work
Stellar Density (g cm−3)25.6${}_{-8.7}^{+4.3}$ This Work
v sini (km s−1)≤6.4This Work
Hα Equivalent Width (Å)1.74This Work
TOI 237b
Period (days)5.436098 ± 0.000039This Work
Transit Depth (%)0.38This Work
Rp/R 0.062 ± 0.002This Work
Planet Radius (R)1.44±0.12This Work
Planet Mass (M)3.0${}_{-1.1}^{+2.0}$ Predicted from Chen & Kipping (2017)
Planet Type25% Terran, 75% NeptunianPredicted from Chen & Kipping (2017)
$\tfrac{a}{{R}_{\star }}$ 34.7 ± 2.9This Work
Semimajor Axis (AU)0.0341 ± 0.0010This Work
i (degrees)89.5${}_{-0.6}^{+0.4}$ This Work
Impact Parameter (b)0.30${}_{-0.21}^{+0.27}$ This Work
Insolation (S)3.7 ± 0.5This Work
Equilibrium Temperature, Teq (K): This Work
Bond Albedo = 0.75 (Venus-like)274This Work
Bond Albedo = 0.3 (Earth-like)355 
Bond Albedo = 0 (Upper Limit)388 

Download table as:  ASCIITypeset image

3. False-positive Vetting

Instrumental effects or statistical false positive. From the SPOC data validation reports, the TESS detections are significant with an S/N of 8.0 for TOI 122b and 9.8 for TOI 237b. These are both near the 7σ detection significance cutoff (Jenkins 2002), which means that these planets were found near TESS' observational limits of discovery. However, given that we redetected transits of both planets from the ground, with consistent depths and timing, we are confident these detections are in fact robust.

Nearby transit or eclipsing binary. For both of these planets, we searched all nearby (<25 radius) stars in the seeing-limited LCO data that were bright enough to have caused the detected transits if blended in the TESS photometry. We found no evidence of sources that were variable or eclipsing on the timescale of these planets' orbital periods. Both of these stars have high proper motions, and examination of archival images indicated that there are no bright stars at the targets' locations (see Figure 7). In addition, we positively detected a transit in the aperture placed around the target star, so we believe these detections are not due to any physically unbound nearby stars.

Figure 7.

Figure 7. Finder charts for TOI 122 (top) and TOI 237 (bottom), including scanned red-sensitive photograph plates from the Digitized Sky Survey (left), Two Micron All-Sky Survey (middle), and the TESS FFIs (right). Circles indicate stars from Gaia DR2, with areas logarithmically expressing apparent brightness. Crosshairs indicate targets' position in the year 2019, near the time of the TESS imaging.

Standard image High-resolution image

Contaminated apertures. The photometric apertures we used for the ground-based observations were typically <6'' (see Table 1), so we can rule out contaminating sources outside that approximate radius from our target stars. In the TESS data, the PDCSAP light curves have already been corrected for contamination of nearby sources present in the TIC, and our higher-resolution ground-based observations show depths consistent with the TESS light curves. SALT spectra show both sources to be single-lined, indicating a lack of evidence for unresolved luminous companions (see Figure 6). We also obtained SOAR speckle imaging of TOI 122 which indicated there was not a nearby companion down to a separation of 03 which could contaminate the aperture (see Figure 5).

Nonplanet transiting object. Based on the measured transit depths and inferred stellar parameters, we can constrain both planets to Rp < 0.8 RJ, which makes them small enough to be in the planet regime (Burrows et al. 2011). We also estimate upper-limit masses from the SALT RV data. Using the two RV data points for each system, we model a range of masses consistent with these values to estimate the upper-limit planet masses. These models were done using a 100k step Markov Chain Monte Carlo (MCMC; 20k step burn-in) with the baseline and planet mass as free parameters, the assumption of circular orbits, and the only constraining prior that the planet mass is non-negative. We find the upper-limit (95th percentile) masses for both of these planets to be in the planetary regime: Mp ≤ 6.7 MJ for TOI 122b and 2.1 MJ for TOI 237b (see Figure 8). Lastly, we have transit data in multiple bands for both objects, with consistent depths. This achromaticity suggests that these are nonluminous objects such as planets (see Parviainen et al. 2019).

Figure 8.

Figure 8. Reconnaissance RV observations from SALT–HRS for both systems, including model orbits for different planet masses (top) plotted with the corresponding transit light curves (bottom). Theoretical RV curves for Earth (blue) and Jupiter (green) masses are shown, as well as 200 random samples from the posterior distributions (red). While we cannot obtain precise planetary masses from these spectra, we are able to rule out super-planetary mass companions by calculating the maximum mass consistent with these measurements. These upper-limit masses based on the 95th percentile samples are 6.7 MJ for TOI 122b and 2.1 MJ for TOI 237b.

Standard image High-resolution image

4. Results

4.1. Light-curve Analysis

For both systems, we omitted two observations of TOI 122 and one observation of TOI 237 where the transit is completely obscured by the noise. This corresponds to a photometric rms such that the transit S/N is ∼1, which we argue is justified given the large number of observations which clearly show a transit (see Table 1). We also omitted observations that did not capture the mid-transit, to prevent the MCMC walkers from running away with obviously incorrect mid-transit times and semimajor axes. We modeled all ground-based light curves simultaneously by requiring the inclination, a/R, and Rp/R to be the same value across all transits, but allowing T0 to vary for transits at different epochs. T0 is fixed between transits that occurred at the same epoch (where we have observations from multiple telescopes, for example). To fit the baseline flux alongside the light-curve parameters, We implemented a linear two-parameter airmass model of the form (C1 + C2 a)B where a is the airmass at each exposure and B is the BATMAN light-curve model. This added up to 24 modeled parameters for TOI 122b and 20 parameters for TOI 237b, the difference being due to a different number of observations for both systems. After analyzing the follow-up light curves and refining the orbital periods, we modeled the phase-folded TESS light curves to examine how well the systems' properties were improved. For a discussion on period refinement, see Section 4.5.

The models are created using BATMAN (Kreidberg 2015), which is based on the analytic transit model from Mandel & Agol (2002). Stellar limb-darkening coefficients were calculated for each separate bandpass with LDTk, the stellar limb-darkening toolkit (Parviainen & Aigrain 2015), and these coefficients are listed in Table 4. Figures 24 show all transit light curves with models.

Table 4. Quadratic Limb-darkening Parameters [u1u2] and Associated Uncertainties [σ1σ2], Calculated Using LDTk Using the Stellar Parameters Listed in Tables 2 and 3

FilterValue [u1u2]Uncertainty [σ1σ2]
TOI 122
V [0.5266, 0.2934][0.0151, 0.0240]
g'[0.5161, 0.2998][0.0124, 0.0200]
r'[0.5209, 0.2644][0.0149, 0.0234]
i'[0.3050, 0.2898][0.0069, 0.0139]
I [0.2558, 0.2566][0.0046, 0.0098]
I&z'[0.2768, 0.2918][0.0067, 0.0140]
TOI 237
g'[0.5720, 0.2925][0.0191, 0.0296]
I [0.2657, 0.2911][0.0100, 0.0205]
I&z'[0.2967, 0.3343][0.0138, 0.0260]

Download table as:  ASCIITypeset image

We found posterior distributions through Bayesian analysis using emcee (Foreman-Mackey et al. 2013). We ran the MCMC with 150 walkers and 200k steps, discarding the first 40k steps (20%) and using uniform priors for all parameters. We chose the number of steps based on when each chain converged, using the integrated autocorrelation time heuristic built into emcee. With our 160k steps (post-burn-in), all chains reached >100 independent samples, suggesting adequate convergence (for a discussion of MCMC convergence, see Hogg & Foreman-Mackey 2018). The priors are set so that the planet does not have a negative radius (0 ≤ Rp/R ≤ 1), the mid-transit time is within the range of the data, the eccentricity is zero, the semimajor axis is physically reasonable (2 ≤ a/R ≤ 200), and the inclination is geometrically limited to be i ≤ 90° to avoid duplicate solutions of i > 90°.

The results cited in Tables 2 and 3 are the 50th percentile values with 1σ uncertainties based on the central 68% confidence intervals of the ground-based MCMC samples which have had the burn-in removed. In Figure 9, we show the posterior distributions from fitting only the folded TESS light curves as well as posterior distributions for only the follow-up transits, for both systems. Results from modeling the follow-up transits are consistent with the TESS fits, but the ground-based follow-up provides much tighter constraints due to the improved S/N we get with the larger aperture LCO 1 m telescopes and from having additional independent transits.

Figure 9.

Figure 9. Corner plots (Foreman-Mackey 2016) for the MCMC posteriors of all fits for TOI 122b (top) and TOI 237b (bottom). The posteriors from modeling only the phase-folded TESS light curves (gray) agree with those from modeling only the ground-based follow-up light curves (black), with the constraints from ground-based telescopes being more precise due to their larger apertures. Labels on top of the posteriors are from the ground-based results.

Standard image High-resolution image

4.2. Stellar Parameters

Mass and radius. We first used the empirical relations in Mann et al. (2019) to calculate stellar masses from Gaia parallaxes and Two Micron All-Sky Survey (2MASS) K-band magnitudes. From Gaia DR2 (Gaia Collaboration et al. 2018), the distance to TOI 122 is 62.23 ± 0.21 pc and the distance to TOI 237 is 38.11 ± 0.23 pc. Using the Mann et al. (2019) relations, we get M = 0.312 ± 0.007 M for TOI 122 and M = 0.179 ± 0.004 M for TOI 237. Using the analogous Mann et al. (2015) absolute MK relation for stellar radii, we found R = 0.334 ± 0.010 R and 0.211 ± 0.006 R for TOI 122 and 237, respectively. As a verification, we compared the stellar densities from the empirical masses and radii to the stellar densities calculated directly from the light curves:

Equation (1)

where ρ is the stellar density, P is the orbital period of the planet, a/R is the normalized semimajor axis, and we have assumed circular orbits (Seager & Mallén-Ornelas 2003; Sozzetti et al. 2007). The densities derived from the light curves are 12.8${}_{-4.2}^{+9.5}$ g cm−3 for TOI 122 and 25.6${}_{-8.7}^{+4.3}$ g cm−3 for TOI 237, which agree well with the densities from our empirically derived masses and radii (11.8 ± 2.0 g cm−3 and 27.0 ± 4.0 g cm−3 for TOI 122 and 237, respectively). Similarly, we calculated the semimajor axes of these systems from the stellar mass predictions and measured periods, and convert them to a/R using the Mann et al. (2015) empirically predicted radii. These calculated semimajor axes give us a/R of 25.2 ± 1.5 (compared to 25.9${}_{-3.2}^{+5.3}$ from the light curves) and 34.7 ± 2.9 (compared to 34.2${}_{-4.6}^{+1.9}$ from the light curves) for TOI 122b and 237b.

Effective temperature ( Teff ) and luminosity. For both stars, we calculated Teff using six of the different empirical color–magnitude relations (Equations (1)–(3) and (11)–(13) of Table 2) in Mann et al. (2015). Taking the weighted average of the six temperatures, we get Teff =3403 ± 100 K for TOI 122 and 3212 ± 100 K for TOI 237. For both sets of calculations, the standard deviation of the six temperatures was ∼55 K.

For stellar luminosities, we calculate the V-band bolometric correction based on the V − J empirical relation in Mann et al. (2015). This gives luminosities of 0.0140 ± 0.0003 L and 0.0041 ± 0.0001 L for TOI 122 and 237, respectively. We then compared these luminosities to the luminosities calculated from the Mann et al. (2015) radii and effective temperatures (described above):

Equation (2)

where we use T = 5772 K (Prša et al. 2016). This resulted in L = 0.013 ± 0.003 L for TOI 122 and L = 0.0042 ± 0.0007 L for TOI 237, in good agreement with the bolometric-correction luminosities. Given the collective agreement between light-curve densities, bolometric luminosities, and empirical estimates for radii, masses, and effective temperatures, we adopt the Mann et al. (2015, 2019) derived stellar parameters and corresponding uncertainties for these two stars.

We chose to calculate our stellar parameters based on empirical models rather than adopting values from our spectral observations because of some inconsistencies in the spectra. The method we used to analyze RV signals from SALT spectra is optimized to detect precise RVs but not to accurately calculate stellar temperature. Therefore, the temperature that corresponds to the best-fit RV model is not necessarily an accurate estimate of stellar temperature. This aspect of the modeling does not affect the vsini values presented in this paper. The FIRE spectra indicate that TOI 122 is a significantly larger and hotter M dwarf, opposing other estimates of its size and temperature. We attribute this to the observing conditions and telluric contamination of the Magellan FIRE spectra, and we therefore do not use the effective temperatures and radii we derive from these spectra.

4.3. Assumption of Circular Orbits

All of the analysis was done under the assumption of circular orbits for these two systems. To justify this, we calculate the tidal circularization timescales following Goldreich & Soter (1966),

Equation (3)

where P is the planet's orbital period and Q' quantifies how well the planet dissipates energy under deformation. Rocky planets tend to have lower Q' values while gaseous planets have larger Q' values. We adopt $Q^{\prime} =1\times {10}^{4}$ for TOI 122b and Q' = 500 for TOI 237b. These values are based on Q' values derived for the solar system planets, where Earth has Q' ∼ 100 and Neptune has a Q' ∼ 6 × 104 (Goldreich & Soter 1966). We do not have measurements of Mp for these planets, but our predicted masses based on the empirical relations in Chen & Kipping (2017) provide a precise enough estimate for this timescale. For TOI 122b and 237b, we calculate τcirc of 0.59 Gyr and 0.17 Gyr, respectively.

From the SALT spectra, we derived upper limits on vsini to be <7.2 km s−1 for TOI 122 and <6.4 km s−1 for TOI 237, which allow us to derive lower limits on the rotational periods of both stars under the assumption that the stellar rotation axis is perpendicular to the line of sight. We find those lower limits to be >2.3 days for TOI 122 and >1.7 days for TOI 237. In addition, the lack of any significant flaring activity or rotational modulation seen in the TESS light curves for these two systems leads us to assume that the stellar rotational periods are long, and probably greater than 27 days (the TESS observation window for a single sector). While the relation between rotation period and age for M dwarfs is poorly constrained, Newton et al. (2016) found the rotation rates of field M dwarfs to be between 0.1 and 140 days, with M dwarfs younger than 2 Gyr having rotational periods less than 10 days. We also calculate the Hα equivalent widths (EW) from the SALT spectra, as Hα emission is indicative of the activity level of M dwarfs (see Newton et al. 2017). We find the EWs to be 0.09 Å for TOI 122 and 1.74 Å for TOI 237, placing both of these stars in the canonically inactive regime (EW > −1 Å). Newton et al. (2017) provide a more direct way to estimate the rotational periods of inactive M dwarfs based on a polynomial fit with stellar mass. Given our derived masses for these two stars, we predict P122 = 72 ± 22 d and P237 = 102 ± 22 d from that relation. From the age–inactivity–spectral type relationship for cool stars described in West et al. (2008), we predict that TOI 122 (an M3V) is likely older than 2 Gyr, and TOI 237 (an M4.5V; spectral types based on Rajpurohit et al. 2013) is likely older than 4.5 Gyr, consistent with our other estimates of their ages.

We can see a picture emerging that these stars are inactive, slowly rotating, and old, in spite of precise stellar ages being difficult to obtain for M dwarfs. Given that τcirc for both planets is <1 Gyr, we assume both planets are on circular orbits. Our assumption that eccentricity is ∼0 is also supported by the agreement between the stellar densities calculated from the light curves and densities based on empirical estimates of mass and radius (see Section 4.2).

4.4. Insolation and Teq

In order to form a picture of the thermal environment of these planets, we calculate the insolation these planets receive, relative to the bolometric flux that Earth receives from the Sun. We also calculate equilibrium temperatures under different assumptions for the Bond albedo, AB, which is the fraction of incident stellar radiation that is reflected by the planet, integrated over both wavelength and angle.

Under the assumptions of circular orbits, efficient heat redistribution, and planets that are thermal emitters (for a discussion of these assumptions, see Cowan & Agol 2011), we use the a/R values derived from our orbital periods and stellar masses to calculate planetary equilibrium temperature as

Equation (4)

and insolation as

Equation (5)

where S is the bolometric insolation, a is the semimajor axis derived from the stellar masses and orbital periods, R is the inferred stellar radius, and a/R = 215. We present Teq (see Tables 2 and 3) as a range of values assuming an Earth-like AB = 0.3, a Venus-like AB = 0.75, and AB = 0.

4.5. Period Refinement and Transit Timing Variations

For both systems, we fit a linear model to the TESS epoch and the follow-up epochs to refine the period, which we cite in Tables 2 and 3. In doing this, we are also able to examine the difference between the expected and observed mid-transit times to search for evidence of periodic transit timing variations (TTVs). The reduced-χ2 of a linear ephemeris (2.2 and 2.3 for TOI 122b and 237b, respectively) gave marginal hints of variations on the timescale of minutes, but a Lomb-Scargle periodogram (for a discussion of Lomb-Scargle periodograms, see VanderPlas 2018) applied to the O-C (observed minus calculated) mid-transit times showed no significant periodicity for either system, so we report no significant TTV detection.

5. Discussion and Conclusions

These two planets help fill the parameter space for cool worlds near the boundary between rocky and gas-rich compositions. Neither is in the circumstellar habitable zone of its star as both receive more flux than the approximately 0.9 S moist greenhouse inner-limit calculated by Kopparapu et al. (2013) for stars with these effective temperatures. However, with insolations of 8.8 ± 1.0 and 3.7 ± 0.5 S, they are relatively cool among known transiting exoplanets.

5.1. Radial Velocity Prospects

We do not have mass-constraining RVs for these two stars, so we applied the Chen & Kipping (2017) empirical mass–radius forecaster to predict M122b = 8.8${}_{-3.1}^{+9.0}$ M and M237b = 3.0${}_{-1.1}^{+2.0}$ M, based on the planets' radii. The degeneracy between planet radius and bulk composition leads to large uncertainties in these predicted masses. The forecaster results classify TOI 122b as 100% likely Neptunian and TOI 237b as 25% likely to be Terran and 75% likely to be Neptunian, where "Terran" is the term used by Chen & Kipping (2017) to describe worlds similar to the inner terrestrial solar system planets and "Neptunian" is used to describe worlds similar in their basic properties to Neptune and Uranus. The transition between these planet types was found by Chen & Kipping (2017) to be at 2.0 ± 0.7 M. We can compare the stellar magnitudes and predicted RV semi-amplitudes to the current and near-future capabilities of RV facilities. Using the periods, stellar masses, and predicted planet masses, we estimate RV semi-amplitudes of 7.1 m s−1 and 3.4 m s−1 for TOI 122b and 237b, respectively. These semi-amplitudes are above the instrumental noise floors for many RV spectrographs, although the faint magnitudes of these stars implies that mass-constraining RV measurements will be very time intensive.

The Calar Alto high-Resolution search for M dwarfs with Exoearths with Near-infrared and optical Echelle Spectrographs (CARMENES; Quirrenbach et al. 2010) instrument would require 460 s exposures to obtain 7.1 m s−1 precision for TOI 122 and 2250 s exposures to obtain 3.4 m s−1 precision for TOI 237b. 39 The latter is just beyond the 1800 s maximum individual exposure time for this instrument, but the former implies the mass of TOI 122b could be within reach of a reasonably ambitious CARMENES observing program. Likewise, the Habitable Zone Planet Finder (HPF) spectrograph (Mahadevan et al. 2012, 2014) could possibly achieve precision as good as 10 m s−1 for TOI 122 and 5 m s−1 for TOI 237 with 15 minute exposures (see Figure 2 of Mahadevan et al. 2012). With slightly longer exposure times, this instrument may be able to achieve mass-constraining precision for these two planets. The recent discovery of the G 9–40 system (Stefansson et al. 2020) used HPF to constrain planetary masses, achieving 6.49 m s−1 precision with exposure times of 945 s. This star has Ks = 9.2, so scaled to the magnitudes of TOIs 122 and 237, we would need exposure times of ∼4 ks to achieve this precision for the systems presented here. Another instrument, the InfraRed Doppler (IRD) for the Subaru telescope (Kotani et al. 2014) also provides some hope. The sensitivity estimator 40 implies that for both of these stars, ∼2 m s−1 precision (S/N > 100) may be possible with 1 hr exposures.

5.2. Atmospheric Characterization Prospects

In order to assess the viability of TOI 122b and TOI 237b for atmospheric studies, we calculated their emission spectroscopy metrics (ESM) following Kempton et al. (2018). This metric represents the S/N of a single secondary eclipse observed by the Mid-Infrared Instrument (MIRI) low-resolution spectrometer (LRS) of the James Webb Space Telescope (JWST). The emission S/N scales directly as the flux of the planet and the square root of the number of detected photons, and inversely to the flux of the star, so hot planets orbiting cool nearby stars will have a larger ESM.

We calculate the ESM assuming that the planet dayside temperatures are equal to 1.1 × Teq (following the process outlined in Kempton et al. 2018) and that both have an Earth-like albedo of 0.3. We find the ESM to be 2.9 for TOI 122b and 0.6 for TOI 237b. Compared to GJ 1132b (ESM = 7.5) these planets are much less favorable for atmospheric follow-up with JWST. A minimum of 12 eclipses would be necessary to achieve an S/N > 10 for TOI 122b and a minimum of 278 eclipses would be needed for TOI 237b, as the S/N scales as $\sqrt{{N}_{\mathrm{obs}}}$. Detecting thermal emission with JWST would be challenging for TOI 122b and impractical for TOI 237b.

We also calculate the transmission spectroscopy metric (TSM) from Kempton et al. (2018). This metric corresponds to the expected S/N of transmission features for a cloud-free atmosphere, over 10 hr of observation (5 hr in-transit). Our predicted TSMs are 54 for TOI 122b and 7 for TOI 237b, which imply that these planets could both be amenable to transmission spectroscopy with the Near-Infrared Imager and Slitless Spectrograph (NIRISS) of JWST, although planetary mass measurements would be necessary to make precise inferences from their transmission spectra (Batalha et al. 2019).

5.3. Volatile Evolution

These two planets span an interesting range of radii and insolations, making them exciting cases that may help us learn more about the diversity of atmospheres possessed by small planets orbiting M dwarfs. Figure 10 shows the Jeans escape parameter (e.g., Ingersoll 2013, Box 2.2) for these systems as well as solar system bodies and all confirmed exoplanets for which this parameter could be calculated. This ratio of gravitational-to-thermal energy is an extremely approximate tracer of atmospheric escape, but it can help us qualitatively understand the relative susceptibility of different planets to atmospheric loss. With only loose predictions for the masses of TOI 122b and TOI 237b, their position on this plot leaves us with an ambiguous picture of whether they have atmospheres and what their compositions could be. They may even represent the transition between worlds that have lost almost all of their H/He (such as Earth and Venus) and worlds that have retained those lighter elements (such as Neptune or Uranus). Though we cannot determine any strong constraints with this Jeans approximation alone, these two planets are not in a regime where they would have obviously lost their atmospheres, as Mercury and Mars have. A more detailed investigation into the current and past XUV irradiation, which is a main driver of atmospheric loss, would be necessary to more cleanly place these planets in context (Zahnle & Catling 2017).

Figure 10.

Figure 10. The ratio of planetary escape velocity to the thermal energy of an H atom at the planetary equilibrium temperature (the "escape parameter"; Jeans 1905), for known transiting and solar system planets. TOI 122b and TOI 237b are included, using predicted masses from Chen & Kipping (2017) to calculate their gravity. This extremely rough proxy for susceptibility to atmospheric escape indicates these planets may be broadly similar to Earth and Venus, in terms of ongoing mass loss from their atmospheres. This qualitative comparison does not account for the important XUV radiation illuminating the planets, either now or in the past. We estimate the uncertainties for TOI 122b and 237b by propagating our uncertainties from the planet parameters, which are dominated by large uncertainties on predicted masses.

Standard image High-resolution image

TOI 122b is a sub-Neptune-sized planet orbiting an M dwarf that is 33% the radius of our Sun. It likely has a thick atmosphere but on a 5.1 day orbit, it is far interior to the habitable zone of its star and irradiated at over eight times the flux of Earth. It is dim enough to present a challenge for most existing RV instruments, but mass measurements might be possible with a sufficient investment of time on infrared spectrographs. Its atmosphere is on the edge of detectability in both emission and transmission with JWST. With a relatively low equilibrium temperature, there could be very interesting atmospheric chemistry in this planet's atmosphere that might be observable with sufficiently ambitious observing programs.

TOI 237b is a super-Earth-sized planet orbiting a M dwarf that is 21% the radius of our Sun and only 3200 K. With its 5.4 day orbit, it receives nearly four times Earth insolation from its host star. Given the size of this planet and dimness of the star, mass measurements are likely very difficult to achieve, and we may not know its mass for some time. Even cooler than TOI 122b, this planet cannot be studied with emission spectroscopy, but transmission spectroscopy is possible and we may be able to learn about this planet's atmosphere, if it has retained one.

We are left with the following pictures of these systems: TOI 122b and TOI 237b are two worlds that span planetary radii not seen in our own solar system and are interesting laboratories to study planet formation, dynamics, and composition. Their long periods leave them too cool for emission spectroscopy but as a result, they occupy a very interesting space of relatively cool, though still uninhabitably warm, planets. Thus, they may give us insight to an as-yet poorly understood type of planetary atmosphere. While more targeted atmospheric or RV studies would require a significant investment of time for these two systems, they are valuable additions to the statistical distribution of known planets.

Software Python code used in this paper is available on the author's Github. 41 This project made use of many publicly available tools and packages for which the authors are immensely grateful. In addition to the software cited throughout the paper, we also used Astropy (Astropy Collaboration et al. 2013), NumPy (van der Walt et al. 2011), Matplotlib (Hunter 2007), Pandas (McKinney 2011), and Anaconda's JupyterLab.

Funding for the TESS mission is provided by NASA's Science Mission directorate. We acknowledge the use of public TESS Alert data from pipelines at the TESS Science Office and at the TESS Science Processing Operations Center. This research has made use of the ExoFOP-TESS 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 Mikulski Archive for Space Telescopes (MAST). This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under grant No. (DGE-1650115) and (DGE-1746045). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. This work makes use of observations from the LCOGT network. 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 research leading to these results has received funding from the ARC grant for Concerted Research Actions, financed by the Wallonia-Brussels Federation. TRAPPIST is funded by the Belgian Fund for Scientific Research (Fond National de la Recherche Scientifique, FNRS) under the grant FRFC 2.5.594.09.F, with the participation of the Swiss National Science Fundation (SNF). M.G. and E.J. are F.R.S.-FNRS Senior Research Associates. B.R-A. acknowledges the funding support from FONDECYT through grant 11181295. Z.K.B.T. gratefully acknowledges support for this work from the TESS Guest Investigator program (Award #80NSSC18K1588) and the National Science Foundation CAREER program (Award ##1945633).

Footnotes

Please wait… references are loading.
10.3847/1538-3881/abc3b9