ABSTRACT

Planet host stars with well-constrained ages provide a rare window to the time domain of planet formation and evolution. The NASA K2 mission has enabled the discovery of the vast majority of known planets transiting stars in clusters, providing a valuable sample of planets with known ages and radii. We present the discovery of two planets transiting K2-264, an M2 dwarf in the intermediate age (600–800 Myr) Praesepe open cluster (also known as the Beehive Cluster, M44, or NGC 2632), which was observed by K2 during Campaign 16. The planets have orbital periods of 5.8 and 19.7 d, and radii of 2.2 ± 0.2 and 2.7 ± 0.2R, respectively, and their equilibrium temperatures are 496 ± 10 and 331 ± 7 K, making this a system of two warm sub-Neptunes. When placed in the context of known planets orbiting field stars of similar mass to K2-264, these planets do not appear to have significantly inflated radii, as has previously been noted for some cluster planets. As the second known system of multiple planets transiting a star in a cluster, K2-264 should be valuable for testing theories of photoevaporation in systems of multiple planets. Follow-up observations with current near-infrared (NIR) spectrographs could yield planet mass measurements, which would provide information about the mean densities and compositions of small planets soon after photoevaporation is expected to have finished. Follow-up NIR transit observations using Spitzer or large ground-based telescopes could yield improved radius estimates, further enhancing the characterization of these interesting planets.

1 INTRODUCTION

The great wealth of data from large exoplanet surveys is a powerful tool for statistical studies of planet formation and evolution. For example, the large number of transiting planets, mostly discovered by the Kepler mission, has enabled the discovery of detailed structure in the observed planetary radius distribution (Fulton et al. 2017; Berger et al. 2018; Fulton & Petigura 2018; Van Eylen et al. 2018), which had been predicted by theories of planetary evolution via photoevaporation (e.g. Owen & Wu 2013; Lopez & Fortney 2014). The observed properties of planets are intrinsically dependent on the properties of their host stars; indeed, the phrase ‘know thy star, know thy planet’ has become ubiquitous in the field of exoplanet science.

Besides the necessity of host star characterization for obtaining planet properties from indirect measurements, the comparison of planet properties with those of their hosts has long been a source of great interest (e.g. Fischer & Valenti 2005; Petigura et al. 2018), as the discovery of a causal relationship would provide a rare glimpse of the mechanisms underpinning planet formation and the processes sculpting them thereafter. However, the vast majority of known planet host stars are of uncertain age, so planet demographics and occurrence rates have been largely unexplored in the time domain. Planets orbiting stars in clusters thus present a rare opportunity for investigations of planet properties as a function of time.

Most of the first known planets orbiting cluster stars were discovered by the radial velocity (RV) method (e.g. Lovis & Mayor 2007; Sato et al. 2007; Quinn et al. 2012, 2014; Malavolta et al. 2016). However, an inherent limitation of the RV method is that most planets discovered in this way do not transit their host stars, so their radii are unknown and the measured masses are lower limits. By extending the Kepler mission to the ecliptic plane, the K2 mission (Howell et al. 2014) has enabled the discovery of the vast majority of transiting planets in clusters (David et al. 2016a; Mann et al. 2016b, 2017; Obermeier et al. 2016; Gaidos et al. 2017; Pepper et al. 2017; Ciardi et al. 2018; Mann et al. 2018; Livingston et al. 2018a), including the youngest known transiting planet (David et al. 2016b; Mann et al. 2016a).

We present here the discovery of two planets transiting K2-264, a low-mass star in the Praesepe open cluster. We identified two sets of transits in the K2 photometric data collected during Campaign 16, then obtained high-resolution adaptive optics (AO) imaging of the host star. Precise photometry and astrometry from the Gaia mission (Gaia Collaboration et al. 2016), along with archival data, enable the characterization of the host star and facilitate the interpretation of the transit signals. We combine the results of detailed light curve analyses and host star characterization to determine the planetary nature of the transit signals, as well as constrain fundamental properties of the two small planets. K2-264 is now the second known transiting multiplanet system in a cluster, offering a rare glimpse into the time domain of planet formation and evolution; its discovery thus significantly enhances a crucial avenue for testing theories of migration and photoevaporation. The transit detections and follow-up observations that enabled this discovery are the result of an international collaboration called KESPRINT. While this manuscript was in preparation Rizzuto et al. (2018) announced an independent discovery of this system. Given the rarity of transiting multiplanet cluster systems, it is not surprising that multiple teams pursued follow-up observations of this valuable target.

This paper is organized as follows. In Section 2, we describe the K2 photometry and high-resolution imaging of the host star, as well as archival data used in our analysis. In Section 3, we describe our transit analyses, host star characterization, planet validation, and dynamical analyses of the system. Finally, we discuss the properties of the planet system and prospects for future studies in Section 4, and we conclude with a summary in Section 5.

2 OBSERVATIONS

2.1 K2 photometry

K2-264 (also known as EPIC 211964830, Cl* NGC 2632 JS 597, 2MASS J08452605+1941544, and Gaia DR2 661167785238757376) was one of 35 643 long cadence (LC) targets observed during Campaign 16 of the K2 mission, from 2017-12-07 23:01:18 to 2018-02-25 12:39:52 ut. K2-264 was proposed as an LC target by GO programmes 16022 (PI Rebull), 16031 (PI Endl), 16052 (PI Stello), and 16060 (PI Agueros). The data were downlinked from the spacecraft and subsequently calibrated and made available on the Mikulski Archive for Space Telescopes1 (MAST). We describe our light-curve preparation and transit search procedures in detail in Livingston et al. (2018b). In brief, we extracted photometry from the K2 pixel data with circular apertures and applied a correction for the systematic caused by the pointing drift of K2, similar to the approach described by Vanderburg & Johnson (2014). The apertures did not use partial pixels, so a given pixel was included if its centre was within the aperture radius. For a range of aperture radii up to 4 pixels, we computed the 6-h combined differential photometric precision (CDPP; Christiansen et al. 2012) of the resulting light curve. The light curves did not exhibit any significant variation of transit depth with aperture size. For K2-264, we selected an aperture with a 1.8 pixel radius (see Fig. 1), as this resulted in the corrected light curve with the lowest CDPP value. We then removed stellar variability using a cubic spline with knots every 1.5 d, and searched the light curve for transits using the Box-Least-Squares (BLS) algorithm (Kovács, Zucker & Mazeh 2002). We identified two candidate planets with signal detection efficiency (Ofir 2014) values of 11.0 and 10.1. The light-curve and phase-folded transits of K2-264 are shown in Fig. 2. Subsequent modelling described in Section 3.1 yielded transit signal-to-noise ratio (SNR; Livingston et al. 2018b) values of 14.0 and 15.9 for the inner and outer planet candidates, respectively. We identified an outlier most likely caused by residual systematics in the light curve and excluded it from our transit analysis (see the grey data point in the lower right-hand panel of Fig. 2).

K2 ‘postage stamp’ of K2-264 with a 1.8 pixel (∼7 arcsec) photometric aperture overplotted in red. The green circle indicates the current position of the target in the EPIC, and the blue circle is the centre of the flux distribution.
Figure 1.

K2 ‘postage stamp’ of K2-264 with a 1.8 pixel (∼7 arcsec) photometric aperture overplotted in red. The green circle indicates the current position of the target in the EPIC, and the blue circle is the centre of the flux distribution.

K2 photometry of K2-264 in black with cubic spline fit overplotted in cyan (top), flattened light curve with the transits of the planets indicated by tick marks (middle), and the same photometry phase-folded on the orbital period of each planet (bottom). The best-fitting transit models are shown in red and blue for planets b and c, respectively, which also correspond to the colour of the tick marks in the top panel.
Figure 2.

K2 photometry of K2-264 in black with cubic spline fit overplotted in cyan (top), flattened light curve with the transits of the planets indicated by tick marks (middle), and the same photometry phase-folded on the orbital period of each planet (bottom). The best-fitting transit models are shown in red and blue for planets b and c, respectively, which also correspond to the colour of the tick marks in the top panel.

2.2 Subaru/IRCS AO imaging

On ut 2018 June 14, we obtained high-resolution AO imaging of K2-264 with the IRCS instrument mounted on the 8.2 m Subaru telescope on Mauna Kea, HI, USA. The AO imaging utilized the target stars themselves as natural guide stars. We adopted the fine sampling mode (⁠|$1\, \mathrm{pix}\approx 20\, \mathrm{mas}$|⁠) and five-point dithering, and a total exposure time of 300 s was spent for K2-264. The full-width at the half maximum of the target image was ∼0.22 arcsec after the AO correction. Following Hirano et al. (2016), we performed dark current subtraction, flat fielding, and distortion correction before finally aligning and median combining the individual frames. In this manner, we produced and visually inspected 16 arcsec ×16 arcsec  combined image, which we then used to compute a 5σ contrast curve following the procedure described in Hirano et al. (2018). We show the resulting contrast curve with a 4 arcsec × 4 arcsec  image of K2-264 inset in Fig. 3.

5σ background sensitivity limit (blue curve) and inset 4 arcsec ×4 arcsec  image of K2-264 (inset). The x-axis is angular separation from K2-264 in arcseconds, and the y-axis is differential magnitude in the Ks band.
Figure 3.

5σ background sensitivity limit (blue curve) and inset 4 arcsec ×4 arcsec  image of K2-264 (inset). The x-axis is angular separation from K2-264 in arcseconds, and the y-axis is differential magnitude in the Ks band.

2.3 Archival imaging

To investigate the possibility of a present-day chance alignment with a background source, we queried 1 arcmin × 1 arcmin POSS1 images centred on K2-264 from the STScI Digitized Sky Survey.2 The proper motion of K2-264 is large enough that the imaging from 1950 does not show any hint of a background source at its current position (see Fig. 4).

Archival imaging from POSS1 (left) and Pan-STARRS (right), with the position of K2-264 indicated by a red square.
Figure 4.

Archival imaging from POSS1 (left) and Pan-STARRS (right), with the position of K2-264 indicated by a red square.

2.4 Literature data

To characterize the host star, we began by gathering literature data, including broadband photometry, astrometry, and physical parameters (see Table 2). We sourced the parallax, proper motion, G, Bp, Rp band magnitudes, effective temperature Teff, and radius R of K2-264 from Gaia DR2 (Gaia Collaboration et al. 2016, 2018a), as well as optical and infrared photometry from the SDSS (Ahn et al. 2012), Pan-STARRS (Chambers et al. 2016), UKIDSS (Lawrence et al. 2007), 2MASS (Cutri et al. 2003), and AllWISE (Cutri & et al. 2013) catalogues.

3 ANALYSIS

3.1 Transit modelling

To model the transits, we first subtracted long-term trends caused by stellar variability or instrument systematics using a cubic spline with knots every 0.75 d. We adopted a Gaussian likelihood function and the analytic transit model of Mandel & Agol (2002) as implemented in the python package batman (Kreidberg 2015), assuming a linear ephemeris and quadratic limb darkening. For Markov Chain Monte Carlo (MCMC) exploration of the posterior probability surface, we used the python package emcee (Foreman-Mackey et al. 2013). To reduce unnecessary computational expense, we only fit the light curves in 4× T14 windows centred on the individual mid-transit times. During MCMC, we allowed the free parameters: orbital period Porb, mid-transit time T0, scaled planet radius Rp/R, scaled semimajor axis a/R, impact parameter bacos i/R, and quadratic limb-darkening coefficients (q1 and q2) under the transformation of Kipping (2013). We also fit for the logarithm of the Gaussian errors (log σ) and a constant out-of-transit baseline offset, which was included to minimize any potential biases in parameter estimates arising from the normalization of the light curve. We imposed Gaussian priors on the limb darkening coefficients, with mean and standard deviation determined by Monte Carlo sampling an interpolated grid of the theoretical limb darkening coefficients tabulated by Claret, Hauschildt & Witte (2012), enabling the propagation of uncertainties in host star effective temperature Teff, surface gravity log g, and metallicity [Fe/H] (see Table 2).

We refined initial parameter estimates from BLS by performing a preliminary non-linear least squares fit using the python package lmfit (Newville et al. 2014), and then initialized 100 ‘walkers’ in a Gaussian ball around the least squares solution. We ran MCMC for 5000 steps and visually inspected the chains and posteriors to ensure they were smooth and unimodal, and we computed the autocorrelation time3 of each parameter to ensure that we had collected 1000’s of effectively independent samples after discarding the first 2000 steps as ‘burn-in.’ We also performed transit fits allowing for eccentricity of each planet (eb and ec), but found them to be poorly constrained by the light curve: the upper limits are eb < 0.79 and ec < 0.87 (95 per cent confidence). We show the joint posterior distributions of ρ, b, and Rp/R for both planets in Fig. 5, derived from the MCMC samples obtained as described above. Because we imposed no prior on the mean stellar density, we can confirm that the mean stellar densities derived from the transits of each planet agree with each other and with the density we derive for the host star in Section 3.2. The mean stellar densities from the transit fits of planets b and c are |$6.49^{+3.85}_{-4.21}$| and |$9.23^{+5.75}_{-5.60}$| g cm−3, respectively. These values are in good agreement with each other and with our independent determination of K2-264’s mean stellar density ρ  = 6.61 ± 0.32 g cm−3, which provides additional confidence that the observed transit signals both originate from K2-264. Having confirmed this agreement, we perform a final MCMC analysis assuming a circular orbit and including a Gaussian prior on the mean stellar density. With the exception of the impact parameter b, the resulting marginalized posterior distributions appeared symmetric. We report the median and 68 per cent credible interval of the posteriors in Table 1; the median and 95 per cent credible interval of b was |$0.40^{+0.26}_{-0.37}$| for planet b, and |$0.55^{+0.19}_{-0.47}$| for planet c.

Joint posterior distributions of ρ⋆, b, and Rp/R⋆ without using a prior on stellar density, with 1- and 2σ contours. As in Fig. 2, planet b is in red and planet c is in blue.
Figure 5.

Joint posterior distributions of ρ, b, and Rp/R without using a prior on stellar density, with 1- and 2σ contours. As in Fig. 2, planet b is in red and planet c is in blue.

Table 1.

Planet parameters.

ParameterUnitPlanet bPlanet c
Free
Pdays|$5.840002^{+0.000676}_{-0.000602}$||$19.660302^{+0.003496}_{-0.003337}$|
T0BJD|$2458102.59177^{+0.00428}_{-0.00523}$||$2458117.09169^{+0.00485}_{-0.00447}$|
RpR|$0.04318^{+0.00275}_{-0.00259}$||$0.05164^{+0.00368}_{-0.00354}$|
aR|$22.84^{+0.36}_{-0.38}$||$51.30^{+0.82}_{-0.84}$|
b|$0.40^{+0.16}_{-0.23}$||$0.55^{+0.12}_{-0.20}$|
log(σ)|$-6.89^{+0.06}_{-0.06}$||$-7.05^{+0.11}_{-0.10}$|
q1|$0.51^{+0.11}_{-0.10}$||$0.51^{+0.12}_{-0.10}$|
q2|$0.25^{+0.03}_{-0.03}$||$0.25^{+0.03}_{-0.03}$|
Derived
RpR|$2.231^{+0.151}_{-0.145}$||$2.668^{+0.201}_{-0.194}$|
TeqK496 ± 10331 ± 7
aau|$0.05023^{+0.00042}_{-0.00043}$||$0.11283^{+0.00095}_{-0.00097}$|
ideg|$89.01^{+0.58}_{-0.40}$||$89.38^{+0.22}_{-0.13}$|
T14h|$1.884^{+0.118}_{-0.149}$||$2.618^{+0.271}_{-0.233}$|
T23h|$1.701^{+0.137}_{-0.176}$||$2.256^{+0.325}_{-0.302}$|
Rp,maxR|$0.05114^{+0.01380}_{-0.00825}$||$0.07426^{+0.02527}_{-0.01822}$|
ParameterUnitPlanet bPlanet c
Free
Pdays|$5.840002^{+0.000676}_{-0.000602}$||$19.660302^{+0.003496}_{-0.003337}$|
T0BJD|$2458102.59177^{+0.00428}_{-0.00523}$||$2458117.09169^{+0.00485}_{-0.00447}$|
RpR|$0.04318^{+0.00275}_{-0.00259}$||$0.05164^{+0.00368}_{-0.00354}$|
aR|$22.84^{+0.36}_{-0.38}$||$51.30^{+0.82}_{-0.84}$|
b|$0.40^{+0.16}_{-0.23}$||$0.55^{+0.12}_{-0.20}$|
log(σ)|$-6.89^{+0.06}_{-0.06}$||$-7.05^{+0.11}_{-0.10}$|
q1|$0.51^{+0.11}_{-0.10}$||$0.51^{+0.12}_{-0.10}$|
q2|$0.25^{+0.03}_{-0.03}$||$0.25^{+0.03}_{-0.03}$|
Derived
RpR|$2.231^{+0.151}_{-0.145}$||$2.668^{+0.201}_{-0.194}$|
TeqK496 ± 10331 ± 7
aau|$0.05023^{+0.00042}_{-0.00043}$||$0.11283^{+0.00095}_{-0.00097}$|
ideg|$89.01^{+0.58}_{-0.40}$||$89.38^{+0.22}_{-0.13}$|
T14h|$1.884^{+0.118}_{-0.149}$||$2.618^{+0.271}_{-0.233}$|
T23h|$1.701^{+0.137}_{-0.176}$||$2.256^{+0.325}_{-0.302}$|
Rp,maxR|$0.05114^{+0.01380}_{-0.00825}$||$0.07426^{+0.02527}_{-0.01822}$|
Table 1.

Planet parameters.

ParameterUnitPlanet bPlanet c
Free
Pdays|$5.840002^{+0.000676}_{-0.000602}$||$19.660302^{+0.003496}_{-0.003337}$|
T0BJD|$2458102.59177^{+0.00428}_{-0.00523}$||$2458117.09169^{+0.00485}_{-0.00447}$|
RpR|$0.04318^{+0.00275}_{-0.00259}$||$0.05164^{+0.00368}_{-0.00354}$|
aR|$22.84^{+0.36}_{-0.38}$||$51.30^{+0.82}_{-0.84}$|
b|$0.40^{+0.16}_{-0.23}$||$0.55^{+0.12}_{-0.20}$|
log(σ)|$-6.89^{+0.06}_{-0.06}$||$-7.05^{+0.11}_{-0.10}$|
q1|$0.51^{+0.11}_{-0.10}$||$0.51^{+0.12}_{-0.10}$|
q2|$0.25^{+0.03}_{-0.03}$||$0.25^{+0.03}_{-0.03}$|
Derived
RpR|$2.231^{+0.151}_{-0.145}$||$2.668^{+0.201}_{-0.194}$|
TeqK496 ± 10331 ± 7
aau|$0.05023^{+0.00042}_{-0.00043}$||$0.11283^{+0.00095}_{-0.00097}$|
ideg|$89.01^{+0.58}_{-0.40}$||$89.38^{+0.22}_{-0.13}$|
T14h|$1.884^{+0.118}_{-0.149}$||$2.618^{+0.271}_{-0.233}$|
T23h|$1.701^{+0.137}_{-0.176}$||$2.256^{+0.325}_{-0.302}$|
Rp,maxR|$0.05114^{+0.01380}_{-0.00825}$||$0.07426^{+0.02527}_{-0.01822}$|
ParameterUnitPlanet bPlanet c
Free
Pdays|$5.840002^{+0.000676}_{-0.000602}$||$19.660302^{+0.003496}_{-0.003337}$|
T0BJD|$2458102.59177^{+0.00428}_{-0.00523}$||$2458117.09169^{+0.00485}_{-0.00447}$|
RpR|$0.04318^{+0.00275}_{-0.00259}$||$0.05164^{+0.00368}_{-0.00354}$|
aR|$22.84^{+0.36}_{-0.38}$||$51.30^{+0.82}_{-0.84}$|
b|$0.40^{+0.16}_{-0.23}$||$0.55^{+0.12}_{-0.20}$|
log(σ)|$-6.89^{+0.06}_{-0.06}$||$-7.05^{+0.11}_{-0.10}$|
q1|$0.51^{+0.11}_{-0.10}$||$0.51^{+0.12}_{-0.10}$|
q2|$0.25^{+0.03}_{-0.03}$||$0.25^{+0.03}_{-0.03}$|
Derived
RpR|$2.231^{+0.151}_{-0.145}$||$2.668^{+0.201}_{-0.194}$|
TeqK496 ± 10331 ± 7
aau|$0.05023^{+0.00042}_{-0.00043}$||$0.11283^{+0.00095}_{-0.00097}$|
ideg|$89.01^{+0.58}_{-0.40}$||$89.38^{+0.22}_{-0.13}$|
T14h|$1.884^{+0.118}_{-0.149}$||$2.618^{+0.271}_{-0.233}$|
T23h|$1.701^{+0.137}_{-0.176}$||$2.256^{+0.325}_{-0.302}$|
Rp,maxR|$0.05114^{+0.01380}_{-0.00825}$||$0.07426^{+0.02527}_{-0.01822}$|

3.2 Stellar characterization

K2-264 is an M2 dwarf star in the Praesepe open cluster (Jones & Stauffer 1991; Kraus & Hillenbrand 2007; Wang et al. 2014; Gaia Collaboration et al. 2018b). Estimates for the age of Praesepe lie in the range of 600–800 Myr (e.g. Kraus & Hillenbrand 2007; Fossati et al. 2008; Brandt & Huang 2015), which is consistent with a recent estimate using data from Gaia DR2 of log(age)  = |$8.85^{+0.08}_{-0.06}$| by Gaia Collaboration et al. (2018b). Because the analysis of Brandt & Huang (2015) accounts for rotation, their older age estimate of 790 ± 60 Myr is likely to be more accurate than earlier determinations, but we adopt the full range to be conservative. We note that K2-264 is expected to lie on the main sequence; indeed, stellar evolution models predict an M2 star to reach the main sequence by 150–200 Myr, well before the age of Praesepe.

As a preliminary assessment of the stellar parameters of K2-264, we built the spectral energy distribution (SED; Fig. 6) of K2-264 using the optical and infrared magnitudes listed in Table 2. We did not include the AllWISE W3 and W4 magnitudes because the former has SNR = 3.7, while the latter is an upper limit. We used the web-tool VOSA4 (Version 6; Bayo et al. 2008) to compare the SED to the grid of BT-Settl synthetic model spectra of very low-mass stars (Allard, Homeier & Freytag 2012). VOSA is a virtual observatory tool specifically designed to derive stellar fundamental parameters (e.g. effective temperature, metallicity, gravity, luminosity, and interstellar extinction) by comparing the observed SED to theoretical models. We found that K2-264 has an effective temperature of Teff  = 3500 ± 50 K, a surface gravity of log g =  5.00 ± 0.25 (cgs), and a metallicity of [M/H]  =  0.30 ± 0.15 dex. Assuming a normal value for the total-to-selective extinction (R = Av/E(BV) = 3.1), we derived an interstellar extinction of |$A_\mathrm{v}\, =\, 0.03\pm 0.03$| mag. We note that both metal content and extinction are consistent with the average values measured for other member stars of the Praesepe open cluster (see e.g. Boesgaard, Roper & Lum 2013; Yang, Chen & Zhao 2015). We used Gaia DR2 parallax to determine the luminosity and radius of K2-264. Following Luri et al. (2018), we accounted for systematic errors in Gaia astrometry by adding 0.1 mas in quadrature to the parallax uncertainty of K2-264 from Gaia DR2. Assuming a blackbody emission at the star’s effective temperature, we found a luminosity of |$L_\star \, =\, 0.0329\pm 0.0014$| L and a radius of R  =  0.493 ± 0.018R.

Spectral energy distribution of K2-264. The red circles mark the observed fluxes as derived from the optical and infrared magnitudes listed in Table 2. The best-fitting BT-Settl is overplotted with a light blue thick line.
Figure 6.

Spectral energy distribution of K2-264. The red circles mark the observed fluxes as derived from the optical and infrared magnitudes listed in Table 2. The best-fitting BT-Settl is overplotted with a light blue thick line.

Table 2.

Stellar parameters.

ParameterUnitValueSource
Astrometry
α RAdeg131.358352378Gaia DR2
δ Dec.deg19.698400987Gaia DR2
|$\pi$|mas5.3598 ± 0.0605Gaia DR2
μαmas yr−1−37.900 ± 0.095Gaia DR2
μδmas yr−1−13.079 ± 0.061Gaia DR2
Photometry
Kpmag15.318EPIC
Bpmag16.946 ± 0.006Gaia DR2
Rpmag14.538 ± 0.002Gaia DR2
Gmag15.663 ± 0.001Gaia DR2
umag19.994 ± 0.036Sloan/SDSS
gmag17.499 ± 0.005Sloan/SDSS
rmag16.089 ± 0.004Sloan/SDSS
imag14.963 ± 0.004Sloan/SDSS
|$z$|mag14.374 ± 0.004Sloan/SDSS
gmag17.260 ± 0.006Pan-STARRS
rmag16.075 ± 0.002Pan-STARRS
imag14.965 ± 0.003Pan-STARRS
|$z$|mag14.471 ± 0.002Pan-STARRS
ymag14.221 ± 0.004Pan-STARRS
Zmag13.848 ± 0.002UKIDSS
Jmag12.997 ± 0.002UKIDSS
Hmag12.393 ± 0.001UKIDSS
Kmag12.157 ± 0.001UKIDSS
Jmag13.047 ± 0.0252MASS
Hmag12.386 ± 0.0222MASS
Ksmag12.183 ± 0.0202MASS
W1mag12.048 ± 0.023AllWISE
W2mag11.978 ± 0.023AllWISE
W3mag11.317 ± 0.294AllWISE
W4mag8.173AllWISE
Physical
TeffK3660|$^{+80}_{-45}$|This work
log gcgs4.783 ± 0.012This work
[Fe/H]dex−0.013 ± 0.180This work
MM0.496 ± 0.013This work
RR0.473 ± 0.011This work
ρg cm−36.610 ± 0.322This work
AVmag0.301 ± 0.162This work
Distancepc187.0 ± 4.0This work
Prdays22.2 ± 0.6This work
ParameterUnitValueSource
Astrometry
α RAdeg131.358352378Gaia DR2
δ Dec.deg19.698400987Gaia DR2
|$\pi$|mas5.3598 ± 0.0605Gaia DR2
μαmas yr−1−37.900 ± 0.095Gaia DR2
μδmas yr−1−13.079 ± 0.061Gaia DR2
Photometry
Kpmag15.318EPIC
Bpmag16.946 ± 0.006Gaia DR2
Rpmag14.538 ± 0.002Gaia DR2
Gmag15.663 ± 0.001Gaia DR2
umag19.994 ± 0.036Sloan/SDSS
gmag17.499 ± 0.005Sloan/SDSS
rmag16.089 ± 0.004Sloan/SDSS
imag14.963 ± 0.004Sloan/SDSS
|$z$|mag14.374 ± 0.004Sloan/SDSS
gmag17.260 ± 0.006Pan-STARRS
rmag16.075 ± 0.002Pan-STARRS
imag14.965 ± 0.003Pan-STARRS
|$z$|mag14.471 ± 0.002Pan-STARRS
ymag14.221 ± 0.004Pan-STARRS
Zmag13.848 ± 0.002UKIDSS
Jmag12.997 ± 0.002UKIDSS
Hmag12.393 ± 0.001UKIDSS
Kmag12.157 ± 0.001UKIDSS
Jmag13.047 ± 0.0252MASS
Hmag12.386 ± 0.0222MASS
Ksmag12.183 ± 0.0202MASS
W1mag12.048 ± 0.023AllWISE
W2mag11.978 ± 0.023AllWISE
W3mag11.317 ± 0.294AllWISE
W4mag8.173AllWISE
Physical
TeffK3660|$^{+80}_{-45}$|This work
log gcgs4.783 ± 0.012This work
[Fe/H]dex−0.013 ± 0.180This work
MM0.496 ± 0.013This work
RR0.473 ± 0.011This work
ρg cm−36.610 ± 0.322This work
AVmag0.301 ± 0.162This work
Distancepc187.0 ± 4.0This work
Prdays22.2 ± 0.6This work
Table 2.

Stellar parameters.

ParameterUnitValueSource
Astrometry
α RAdeg131.358352378Gaia DR2
δ Dec.deg19.698400987Gaia DR2
|$\pi$|mas5.3598 ± 0.0605Gaia DR2
μαmas yr−1−37.900 ± 0.095Gaia DR2
μδmas yr−1−13.079 ± 0.061Gaia DR2
Photometry
Kpmag15.318EPIC
Bpmag16.946 ± 0.006Gaia DR2
Rpmag14.538 ± 0.002Gaia DR2
Gmag15.663 ± 0.001Gaia DR2
umag19.994 ± 0.036Sloan/SDSS
gmag17.499 ± 0.005Sloan/SDSS
rmag16.089 ± 0.004Sloan/SDSS
imag14.963 ± 0.004Sloan/SDSS
|$z$|mag14.374 ± 0.004Sloan/SDSS
gmag17.260 ± 0.006Pan-STARRS
rmag16.075 ± 0.002Pan-STARRS
imag14.965 ± 0.003Pan-STARRS
|$z$|mag14.471 ± 0.002Pan-STARRS
ymag14.221 ± 0.004Pan-STARRS
Zmag13.848 ± 0.002UKIDSS
Jmag12.997 ± 0.002UKIDSS
Hmag12.393 ± 0.001UKIDSS
Kmag12.157 ± 0.001UKIDSS
Jmag13.047 ± 0.0252MASS
Hmag12.386 ± 0.0222MASS
Ksmag12.183 ± 0.0202MASS
W1mag12.048 ± 0.023AllWISE
W2mag11.978 ± 0.023AllWISE
W3mag11.317 ± 0.294AllWISE
W4mag8.173AllWISE
Physical
TeffK3660|$^{+80}_{-45}$|This work
log gcgs4.783 ± 0.012This work
[Fe/H]dex−0.013 ± 0.180This work
MM0.496 ± 0.013This work
RR0.473 ± 0.011This work
ρg cm−36.610 ± 0.322This work
AVmag0.301 ± 0.162This work
Distancepc187.0 ± 4.0This work
Prdays22.2 ± 0.6This work
ParameterUnitValueSource
Astrometry
α RAdeg131.358352378Gaia DR2
δ Dec.deg19.698400987Gaia DR2
|$\pi$|mas5.3598 ± 0.0605Gaia DR2
μαmas yr−1−37.900 ± 0.095Gaia DR2
μδmas yr−1−13.079 ± 0.061Gaia DR2
Photometry
Kpmag15.318EPIC
Bpmag16.946 ± 0.006Gaia DR2
Rpmag14.538 ± 0.002Gaia DR2
Gmag15.663 ± 0.001Gaia DR2
umag19.994 ± 0.036Sloan/SDSS
gmag17.499 ± 0.005Sloan/SDSS
rmag16.089 ± 0.004Sloan/SDSS
imag14.963 ± 0.004Sloan/SDSS
|$z$|mag14.374 ± 0.004Sloan/SDSS
gmag17.260 ± 0.006Pan-STARRS
rmag16.075 ± 0.002Pan-STARRS
imag14.965 ± 0.003Pan-STARRS
|$z$|mag14.471 ± 0.002Pan-STARRS
ymag14.221 ± 0.004Pan-STARRS
Zmag13.848 ± 0.002UKIDSS
Jmag12.997 ± 0.002UKIDSS
Hmag12.393 ± 0.001UKIDSS
Kmag12.157 ± 0.001UKIDSS
Jmag13.047 ± 0.0252MASS
Hmag12.386 ± 0.0222MASS
Ksmag12.183 ± 0.0202MASS
W1mag12.048 ± 0.023AllWISE
W2mag11.978 ± 0.023AllWISE
W3mag11.317 ± 0.294AllWISE
W4mag8.173AllWISE
Physical
TeffK3660|$^{+80}_{-45}$|This work
log gcgs4.783 ± 0.012This work
[Fe/H]dex−0.013 ± 0.180This work
MM0.496 ± 0.013This work
RR0.473 ± 0.011This work
ρg cm−36.610 ± 0.322This work
AVmag0.301 ± 0.162This work
Distancepc187.0 ± 4.0This work
Prdays22.2 ± 0.6This work

To obtain the final set of stellar parameters we use in this work, we utilized the isochrones (Morton 2015a) python interface to the Dartmouth stellar evolution models (Dotter et al. 2008) to infer stellar parameters using the 2MASS JHKs photometry and Gaia DR2 parallax (with augmented uncertainty to account for systematics as above). isochrones uses the MultiNest (Feroz et al. 2013) algorithm to sample the posteriors of fundamental stellar properties of interest, and resulted in the following constraints: effective temperature Teff  = |$3660^{+80}_{-45}$| K, surface gravity log g  = 4.783 ± 0.012 (cgs), metallicity [Fe/H]   =  −0.013 ± 0.180 dex, radius R   =  0.473 ± 0.011 R, mass M   =  0.496 ± 0.013 M, extinction (AV) = 0.301 ± 0.162 mag, and distance = 187.0 ± 4.0 pm. We opted not to include a prior on the metallicity of K2-264 based on its cluster membership, as the resulting stellar parameter uncertainties may not accurately reflect intrinsic variability of metallicity within the Praesepe birth nebula. The posteriors agree with the results of our SED analysis to within ∼2σ and are consistent with Praesepe membership; metallicity is poorly constrained, but is consistent with that of Praesepe Boesgaard et al. ([Fe/H]  = 0.12 ± 0.04; 2013). This mild disagreement is likely the result of systematics from the underlying stellar models, which are unaccounted for in the formal uncertainties. Most posteriors appeared roughly symmetric and Gaussian, so we list the median and standard deviation in Table 2; the Teff posterior was asymmetric, so we list the median and 68 per cent credible region instead. We note that these values are in moderate disagreement with the stellar parameters computed by Huber et al. (2016), which may be due to the lack of a parallax constraint in their analysis, but may also reflect a systematic bias for low-mass stars, which has been attributed to their choice of stellar models (Dressing et al. 2017). We note that these estimates are consistent with the Gaia DR2 values for K2-264 (Teff   =  3422|$^{+478}_{-22}$| K, R   =  0.54|$^{+0.01}_{-0.12}$| R, distance  =  186.573 ± 2.105 pc).

The light curve of K2-264 exhibits clear quasi-periodic rotational modulation, which is characteristic of surface magnetic activity regions moving in and out of view as the star rotates around its axis. We measured the rotation period using two different methods. After masking the transits from the K2 light curve and subtracting a linear trend, we computed the Lomb–Scargle periodogram, from which we derived a stellar rotation period of |$21.8^{+3.4}_{-2.9}$| d by fitting a Gaussian to the peak (see Fig. 7). In Fig. 8, we show a Gaussian Process (GP) fit to the light curve using a quasi-periodic kernel (e.g. Haywood et al. 2014; Grunblatt, Howard & Haywood 2015; Dai et al. 2017), from which we measured a rotation period of 22.2 ± 0.6 d via MCMC exploration of the kernel hyperparameter space. We adopt the GP estimate, as it is in good agreement with the Lomb–Scargle estimate but yields higher precision. The rotational modulation of K2-264 has a similar period and amplitude to K2-95, an M3 dwarf in Praesepe hosting a transiting sub-Neptune (Obermeier et al. 2016). Using the gyrochronology relation of Angus et al. (2015), we find that the measured stellar rotation period is consistent with the age of Praesepe.

Lomb–Scargle periodogram of the K2 light curve of K2-264.
Figure 7.

Lomb–Scargle periodogram of the K2 light curve of K2-264.

GP fit to the light curve of K2-264 with transits removed (left), and the same light curve folded on the maximum a posteriori rotation period of 22.3 d (right; colour of datapoints correspond to time).
Figure 8.

GP fit to the light curve of K2-264 with transits removed (left), and the same light curve folded on the maximum a posteriori rotation period of 22.3 d (right; colour of datapoints correspond to time).

3.3 Validation

Transiting planet false-positive scenarios typically involve an eclipsing binary (EB) blended with a brighter star within the photometric aperture. If an EB’s mass ratio is close to unity, then the primary and secondary eclipses will have the same depth, and in such a case the dilution from the brighter star will make these eclipses shallower and thus more similar to planetary transits. In such a scenario, the EB’s orbit must also be circular such that the eclipses mimic the regular periodicity of planetary transits. Another possibility is an extreme EB mass ratio, in which case the (diluted) secondary eclipses would be small enough that they could be below the detection limit of the photometry. Because of the large (4 arcsec) pixel scale of the Kepler photometer, blended EB scenarios are not rare, and must therefore be properly accounted for. Such a false-positive scenario could be caused by the chance alignment of a background eclipsing binary (BEB) source, or by a hierarchical eclipsing binary (HEB) triple system, the relative frequencies of which depend on the density of sources in the vicinity of the candidate host star.

To investigate the possibility of a BEB false-positive scenario, we utilize the observed transit geometry in conjunction with a simulated stellar population appropriate for the line of sight to K2-264. The eclipse depth of an EB can in principle reach a maximum of 100 per cent, which sets a limit on the faintness of any putative background sources that could be responsible for the observed signals. Using equation (1) of Livingston et al. (2018b) and the observed transit depths, this corresponds to Kp ≈ 22 mag. Using a simulated stellar population in the direction of K2-264 from TRILEGAL Galaxy model (Girardi et al. 2005), the expected frequency of sources brighter than this limit is very low, at ∼0.07 for a 7 arcsec  photometric aperture (see Fig. 1). Indeed, the non-detection of any background sources in our AO image (see Fig. 3) and the POSS1 image from 1950 (see Fig. 4) is consistent with the expectation of zero such sources from the Galaxy model.

If, on the other hand, the observed signals are actually the result of a HEB scenario, we must instead consider the possibility that K2-264 is actually a bound triple star system. In order for the eclipsing component to have a negligible impact on the observed SED (see Fig. 6), it would need to be composed of stars with much lower masses than K2-264. However, from the observed transit geometry, we have 3σ upper limits on the radius ratio of 9 per cent and 15 per cent for the inner and outer planets, respectively, using equation (21) of Seager & Mallén-Ornelas (2003) (see Rp,max in Table 1). Radius ratios below this limit would involve either an eclipsing component in the planetary mass regime or an occulted component that would contribute non-negligible flux to the combined SED and thereby have observable signatures. Perhaps most importantly, the existence of two periodic transit-like signals from the same star is a priori more difficult to explain with non-planetary scenarios, because the BEB and HEB scenarios consistent with the observed signals would require vanishingly infrequent chance alignment or higher stellar multiplicity. Indeed, candidates in systems of multiple transiting planets have been shown to have a very low false-positive rate (Lissauer et al. 2012), and are thus essentially self-validating.

Besides these qualitative considerations, we also computed the false-positive probabilities (FPPs) of the planet candidates of K2-264 using the python package vespa (Morton 2015b). vespa employs a robust statistical framework to compare the likelihood of the planetary scenario to likelihoods of several astrophysical false-positive scenarios involving eclipsing binaries, relying on simulated eclipsing populations based on TRILEGAL. The FPPs from vespa for planets b and c are 0.007 per cent and 0.012 per cent, respectively, well below the standard validation threshold of 1 per cent. Moreover, these FPPs are overestimated due to the fact that vespa does not account for multiplicity: Lissauer et al. (2012) demonstrated that a candidate in a system with one or more additional transiting planet candidates is 25 times more likely to be a planet based on multiplicity alone. Therefore, in addition to the qualitative arguments above, the planet candidates also quantitatively warrant validation; we conclude that K2-264 is thus the host of two bona fide transiting planets.

3.4 Dynamical stability

Given the large separation between the two planets, the system is manifestly Hill stable. Assuming that the orbits are circular, their separation is about 25 times their mutual Hill radius, much larger than the threshold value of 3.46RH (Gladman 1993; Chambers, Wetherill & Boss 1996; Deck, Payne & Holman 2013). Using the angular momentum deficit criterion of Petit, Laskar & Boué (2018), we find that the eccentricity of the outer planet must be less than ec ≃ 0.4 to ensure the stability of the system.

We use the probabilistic mass–radius relation of Wolfgang, Rogers & Ford (2016) to estimate the masses of the planets given their measured radii, yielding mb = 7.7 ± 2.3 and mc = 9.5 ± 2.7 M for planets b and c, respectively. We use the TSUNAMI code (Trani et al. 2016; Trani, Fujii & Spera 2018) to simulate the orbital evolution of 500 realizations. Consistent with the planets’ orbital inclinations from the measured transit geometry, we set their mutual inclination to zero and sampled the eccentricity of the outer planet between 0 and 0.6. Fig. 9 shows the difference between the initial orbital periods and the final ones, after |$2\, \textrm{Myr}$| of integration. For all systems with ec ≲ 0.3 the difference in orbital periods remain below 0.01 d. On the other hand, for ec ≳ 0.45, the perturbations between the two planets lead to instability and the period changes significantly (ΔP ≈ 1 d). Therefore, ec ≃ 0.43 is a robust upper limit for the eccentricity of the outer planet.

Difference between the initial and final orbital periods of the planets in the N-body simulations as a function of the initial eccentricity of the outer planet c. Top panel: period difference of the inner planet b. Bottom panel: period difference of the outer planet c. Black circles and red crosses represent a period increase and decrease with respect to the initial one, respectively. The dashed blue line is the 5σ error on the period from Table 1.
Figure 9.

Difference between the initial and final orbital periods of the planets in the N-body simulations as a function of the initial eccentricity of the outer planet c. Top panel: period difference of the inner planet b. Bottom panel: period difference of the outer planet c. Black circles and red crosses represent a period increase and decrease with respect to the initial one, respectively. The dashed blue line is the 5σ error on the period from Table 1.

However, we find that for any eccentricity of the outer planet, the planets undergo secular exchanges of angular momentum that cause the eccentricity of the planets to oscillate periodically (the top panel of Fig. 10). The outer planet oscillates between the initial eccentricity and a lower value, while the inner one oscillates between 0 and an upper value |$e_\mathrm{b}^\mathrm{max}$|⁠, which depends on |$e_\textrm{c}^0$|⁠. We find that |$e^\mathrm{max}_\textrm{b}$| and |$e_\textrm{c}^0$| are nicely fit, with almost no scatter, by the superlinear relation |$e^\mathrm{max}_\textrm{b} = e_\textrm{c}\, (1.12 \, +\, 0.42\, e_\textrm{c})$|⁠. Each oscillation has a period of about 2250–|$2800 \rm \, yr$|⁠, depending on |$e_\textrm{c}^0$|⁠. We have also run some tests using different masses of the planets, in the 1σ error range derived by the mass–radius relation. The eccentricity oscillations occur also for different planet masses, with the oscillation period becoming longer for decreasing mass ratio mc/mb.

Eccentricity of the planets (top) and difference of longitude of pericenter $\Delta \bar{\omega }$ (bottom) as a function of time, for four realization with different initial eccentricity of planet c. Each colour is a different realization: red lines $e^0_\textrm{c} = 0.35$; green lines $e^0_\textrm{c} = 0.2$; blue lines $e^0_\textrm{c} = 0.1$; grey lines $e^0_\textrm{c} = 0.02$. In the top panel, the dashed and solid lines are the eccentricity of planets b and c, respectively.
Figure 10.

Eccentricity of the planets (top) and difference of longitude of pericenter |$\Delta \bar{\omega }$| (bottom) as a function of time, for four realization with different initial eccentricity of planet c. Each colour is a different realization: red lines |$e^0_\textrm{c} = 0.35$|⁠; green lines |$e^0_\textrm{c} = 0.2$|⁠; blue lines |$e^0_\textrm{c} = 0.1$|⁠; grey lines |$e^0_\textrm{c} = 0.02$|⁠. In the top panel, the dashed and solid lines are the eccentricity of planets b and c, respectively.

This secular behaviour has been found also in other eccentric multiplanet systems (e.g. Kane & Raymond 2014; Barnes & Greenberg 2006b). In particular, our system lies on near a boundary between libration and circulation (Barnes & Greenberg 2006a). For any initial eccentricity of the planet c, the angle between the two apsidal lines (⁠|$\Delta \bar{\omega }$|⁠) shows libration between 90° and −90° and a rapid change when the inner planet becomes circular (the bottom panel of Fig. 10)

Therefore, we calculate the eccentricity damping time-scale for planet b using the tidal model of Hut (1981). Since K2-264 is a low-mass star with a convective envelope, we can compute the tidal time-scale k/T due to the tides raised on the star from the stellar structure parameters (Zahn 1977). We use the stellar models of the PARSEC stellar evolution code (Bressan et al. 2012; Chen et al. 2015; Fu et al. 2018), and derive |$k/T = 0.34\, \rm yr^{-1}$|⁠. Considering only the tides raised on the star, we find that the circularization time-scale is much longer than the age of the system for all eb < 0.9. We also take into account the tides raised on the planet c using the tidal quality factor |$Q = n\, T/3\, k$|⁠, where n is the mean motion of planet c. Note that the stellar k/T corresponds to a quality factor of ∼350, which tells us that any Q > 350 makes the planetary tide less efficient the stellar tide. Since the tidal quality factor for gas giants is expected to be Q ≫ 102, we conclude that the inner planet could be still undergoing tidal circularization.

4 DISCUSSION

Assuming a bond albedo of 0.3, the equilibrium temperatures of planets b and c are 496 ± 13 and 331 ± 8 K, respectively, making K2-264 a system of two warm sub-Neptunes. Although such planets have been found in large numbers by previous surveys (e.g. Kepler), the number orbiting cluster stars is extremely small. K2-264 is thus an important system because it significantly improves the statistics for demographic studies of cluster planets. Furthermore, prior to this discovery only one member of a cluster was known to host multiple transiting planets (K2-136; Ciardi et al. 2018; Livingston et al. 2018a; Mann et al. 2018). K2-264 is thus a unique laboratory for studies of system architectures as a function of time. We place K2-264 in the context of the general exoplanet population, as well as other cluster planets, by plotting planet radius as a function of host star mass in Fig. 11, using data from a query of the NASA Exoplanet Archive5 (Akeson et al. 2013). From this perspective, the planets of K2-264 do not appear to have significantly inflated radii, as has previously been a matter of speculation for cluster systems (e.g. K2-25, Mann et al. 2016b; K2-95, Obermeier et al. 2016). It is worth noting, however, that K2-25 and K2-95 have lower masses than K2-264, and the radii of planets orbiting higher mass host stars in both Hyades and Praesepe appear less inflated. Two cluster planets buck this apparent trend: K2-33 and K2-100. However, K2-33 may still be undergoing radial Kelvin–Helmholtz contraction due to its young age (5–10 Myr; David et al. 2016b), and K2-100 is much more massive (M  = 1.18 ± 0.09 M; Mann et al. 2017). The radii of the planets orbiting K2-264 lend support to this trend, and thus to the hypothesis that radius inflation results from higher levels of X-ray and ultraviolet (UV) flux incident upon planets orbiting lower mass stars; the absence of such a trend for field stars may tell us something about the time-scales of radial relaxation after early-stage X-ray/UV flux from low-mass stars diminishes.

Planet radius versus host star mass of K2-264 (triangles) and a selection of other transiting planet systems in clusters (squares), as compared to the field star planet population (grey points). Besides K2-264, the data shown are from a query of the NASA Exoplanet Archive (Akeson et al. 2013). Besides K2-264, the cluster systems shown are K2-25 and K2-136 (Hyades; Mann et al. 2016b, 2018; Livingston et al. 2018a; Ciardi et al. 2018); K2-33 (Upper Sco; David et al. 2016b; Mann et al. 2016b); K2-95, K2-100, K2-101, K2-102, K2-103, and K2-104 (Praesepe; Obermeier et al. 2016; Mann et al. 2017).
Figure 11.

Planet radius versus host star mass of K2-264 (triangles) and a selection of other transiting planet systems in clusters (squares), as compared to the field star planet population (grey points). Besides K2-264, the data shown are from a query of the NASA Exoplanet Archive (Akeson et al. 2013). Besides K2-264, the cluster systems shown are K2-25 and K2-136 (Hyades; Mann et al. 2016b, 2018; Livingston et al. 2018a; Ciardi et al. 2018); K2-33 (Upper Sco; David et al. 2016b; Mann et al. 2016b); K2-95, K2-100, K2-101, K2-102, K2-103, and K2-104 (Praesepe; Obermeier et al. 2016; Mann et al. 2017).

Planets orbiting cluster stars are expected to have large eccentricities and large mutual inclinations, if perturbations from cluster members are efficient. While we cannot yet constrain the eccentricity of the outer planet, it is safe to assume that the system is coplanar. Even in the hypothesis of the presence of an outer, inclined, non-transiting planet, produced during a stellar encounter in the early life of the cluster, perturbations from the outer planet would have propagated inwards, altering the inclinations of the inner planets. Cai, Portegies Zwart & van Elteren (2018) show that planetary systems in the outskirts of the cluster (i.e. outside its half-mass radius) are unlikely to have been perturbed by passing stars. We compute the distance of K2-264 from the centre of Praesepe, using the cluster centre coordinates derived by Khalaj & Baumgardt (2013) and the coordinates of K2-264 from Gaia DR2. We find that K2-264 lies at |$4.365\pm 0.206\, \textrm{pc}$| projected distance (8.8 ± 4.2 unprojected) from the cluster centre, well outside the half-mass radius of the Praesepe cluster (⁠|$3.9\, \textrm{pc}$|⁠, Khalaj & Baumgardt 2013). This suggests that perturbations from other stars have likely played a minor role in shaping the planetary system of K2-264.

Because the planets orbiting K2-264 have a common host star history, X-ray and UV stellar flux at young ages can be controlled for, better enabling their observed radii to yield insights into atmospheric evolution due to irradiation from the host star. Additionally, the 600–800 Myr age of the system is particularly good for testing photoevaporation theory, as this is the time-scale over which photoevaporation should have finished (Owen & Wu 2013); by this age, the radius distribution of small planets should approach that of field stars. The planet radii place them both securely above the observed gap in the radius distribution (Fulton et al. 2017; Berger et al. 2018; Van Eylen et al. 2018), which suggests either that they have large enough core masses to have retained substantial atmospheres, or that photoevaporation may have played a less significant role in their evolution, or both. However, the host star’s spectral type indicates substantial X-ray/UV irradiation during the first few hundred million years, which makes it less likely that the planets could have largely escaped the effects of photoevaporation unless they had larger core masses. Indeed, the location of the bimodality has been shown to shift to smaller radii for lower mass host stars (Fulton & Petigura 2018), consistent with the expectation that smaller stars produce smaller planet cores. This implies that the planets orbiting K2-264 are more likely to have relatively massive cores and always occupied the larger radius mode. Given the age of the system, it is likely that photoevaporation is effectively over, and the planet radii will no longer undergo substantial evolution.

Systems of multiple transiting planets sometimes allow for the masses and eccentricities in the system to be measured via dynamical modelling of the observed transit timing variations (TTVs; Agol et al. 2005; Holman & Murray 2005), in which the mutual gravitational interaction between planets produces regular, measurable deviations from a linear ephemeris. To test if either planet exhibits TTVs, we used the best-fitting transit model as a template for the determination of individual transit times. Keeping all parameters fixed except the mid-transit time, we fitted this template to each transit in the data, but we did not detect any TTVs over the ∼80 d of K2 observations. The absence of TTVs is perhaps not surprising, given that the orbital periods are not especially close to a low-order mean motion resonance, with Pc/Pb ≈ 3.367, about 12 per cent outside of a 3:1 period commensurability. Although the planets do not exhibit measurable mutual gravitational interactions, the pull they exert on their host star presents an opportunity for characterization via Doppler spectroscopy.

By obtaining precise RV measurements of K2-264, it may be possible to measure the reflex motion of the host star induced by the gravity of its planets (e.g. Struve 1952; Mayor & Queloz 1995). Such measurements would yield the planet masses and mean densities, which would constrain the planets’ interior structures. The predicted masses of planets b and c, along with their orbital periods and the mass of the host star, yield expected RV semi-amplitudes values of 4.4 ± 1.3 and 3.6 ± 1.0 m s−1, respectively. However, the youth and photometric variability of K2-264 imply RV stellar activity signals larger in amplitude than the expected planet signals from optical spectroscopy. This suggests that the planets of K2-264 may be amenable to mass measurement using a high precision near-infrared (NIR) spectrograph, such as IRD (Tamura et al. 2012) or HPF (Mahadevan et al. 2012), as the RV amplitude of stellar activity signals should be significantly lower in the infrared. Assuming no orbital obliquity, from the radius and rotation period of K2-264 we estimate low levels of rotational line broadening, with |$v$|sin i of ∼1 km s−1. Prior knowledge about the star’s rotation period from K2 should prove useful for modelling the stellar activity signal simultaneously with the Keplerian signals of the planets using a GP model (e.g. Haywood et al. 2014; Grunblatt et al. 2015; Dai et al. 2017).

Besides spectroscopy, follow-up NIR transit photometry of K2-264 could enable a better characterization of the system by more precisely measuring the transit geometry. Besides yielding a better constraint on the planet radius, transit follow-up would also significantly refine estimates of the planets’ orbital ephemerides, enabling efficient scheduling for any subsequent transit observations, e.g. with JWST. Using the WISE W2 magnitude in Table 2 as a proxy for Spitzer IRAC2, the expected transit SNR is in the range of 4–8; given the systematic noise in Spitzer light curves, such transit measurements would be challenging, but may be feasible by simultaneously modelling the transit and systematics signals using methods such as pixel-level decorrelation (PLD; Deming et al. 2015). Furthermore, by simultaneously modelling the K2 and Spitzer data, Spitzer’s high photometric observing cadence and the diminished effects of limb darkening in the NIR could be leveraged to more precisely determine the transit geometry (Livingston et al. in review). NIR transit observations from the ground could also be useful, but would likely require a large aperture (e.g. 4–8 m) telescope to yield better performance than Spitzer.

This system was also reported by Rizzuto et al. (2018), who performed an independent analysis using a K2 light curve produced by a different pipeline (K2SFF; Vanderburg & Johnson 2014), as well as follow-up medium-resolution NIR spectroscopy. The estimates of Teff, [Fe/H], R, and ρ all agree to within 1σ, whereas the M estimates differ by 1.4σ; this mild tension in mass likely reflects the underlying model dependency in our isochrones analysis. However, R is in perfect agreement between the two analyses; robustness in this parameter is crucially important for measurement of the planet radii. Finally, the estimates of orbital period and Rp/R agree within 1σ; we thus find 1σ agreement for the planet properties Rp and Teq. Our analysis of the publicly available K2SFF light curve6 also yields parameters in good agreement. However, the systematics in both light curves were corrected using very similar techniques, so we performed an additional check to see if residual red noise could be significantly affecting our parameter estimates. To do so, we used a GP with a Matérn-3/2 kernel to model the covariance structure of the noise in conjunction with the transits; we found planetary parameters within 1σ of the values found previously, suggesting low levels of residual red noise. Taken together, these two independent studies reinforce one another, suggesting a high degree of reliability in the properties of the system.

5 SUMMARY

Using data from the K2 mission and ground-based follow-up observations, we have detected and statistically validated two warm sub-Neptunes transiting the star K2-264, which is a member of the 600–800 Myr Praesepe open cluster. Unlike several previously discovered planets orbiting lower mass stars in clusters, their radii are fairly consistent with the those of planets orbiting field stars of comparable mass to their host, suggesting that radius inflation is a function of host star mass. The system presents opportunities for RV follow-up using high precision NIR spectrographs, which would yield the planets’ densities and thereby test theories of planet formation and evolution. NIR transit photometry could more precisely measure the planet’s ephemerides and transit geometry, and thus also their radii. By leveraging the known age of the system, such characterization would yield a direct view of the planets’ atmospheric evolution. K2-264 joins a small but growing list of cluster planets, and is particularly valuable as it is only the second known system of multiple transiting planets in a cluster.

ACKNOWLEDGEMENTS

This work was carried out as part of the KESPRINT consortium. J H L gratefully acknowledges the support of the Japan Society for the Promotion of Science (JSPS) Research Fellowship for Young Scientists. This work was supported by JSPS KAKENHI Grant Number JP16K17660. ME and W D C were supported by NASA grant NNX16AJ11G to The University of Texas. A  A T acknowledges support from JSPS KAKENHI grant number JP17F17764. N N acknowledges support from KAKENHI Grant Number JP18H01265. A P H, Sz Cs, S G, J K, M P, and H R acknowledge support by DFG grants HA 3279/12-1, PA525/18-1, PA525/19-1, PA525/20-1, and RA 714/14-1 within the DFG Schwerpunkt SPP 1992, ‘Exploring the Diversity of Extrasolar Planets.’ The simulations were run on the Calculation Server at the NAOJ Center for Computational Astrophysics. This paper includes data collected by the Kepler mission. Funding for the Kepler mission is provided by the NASA Science Mission directorate. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC; https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of VOSA, developed under the Spanish Virtual Observatory project supported from the Spanish MINECO through grant AyA2017-84089. A A T would like to thank Hori Yasunori and Michiko Fujii for helpful discussions on the system’s dynamics.

Footnotes

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