The following article is Open access

TESS Hunt for Young and Maturing Exoplanets (THYME). XI. An Earth-sized Planet Orbiting a Nearby, Solar-like Host in the 400 Myr Ursa Major Moving Group

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

Published 2024 January 10 © 2024. The Author(s). Published by the American Astronomical Society.
, , Citation Benjamin K. Capistrant et al 2024 AJ 167 54 DOI 10.3847/1538-3881/ad1039

Download Article PDF
DownloadArticle ePub

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

1538-3881/167/2/54

Abstract

Young terrestrial worlds are critical test beds to constrain prevailing theories of planetary formation and evolution. We present the discovery of HD 63433 d—a nearby (22 pc), Earth-sized planet transiting a young Sun-like star (TOI-1726, HD 63433). HD 63433 d is the third planet detected in this multiplanet system. The kinematic, rotational, and abundance properties of the host star indicate that it belongs to the young (414 ± 23 Myr) Ursa Major moving group, whose membership we update using new data from the third data release of the Gaia mission and TESS. Our transit analysis of the TESS light curves indicates that HD 63433 d has a radius of 1.1 R and closely orbits its host star with a period of 4.2 days. To date, HD 63433 d is the smallest confirmed exoplanet with an age less than 500 Myr, and the nearest young Earth-sized planet. Furthermore, the apparent brightness of the stellar host (V ≃ 6.9 mag) makes this transiting multiplanet system favorable to further investigations, including spectroscopic follow-up to probe the atmospheric loss in a young Earth-sized world.

Export citation and abstract BibTeX RIS

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

1. Introduction

The first few hundred million years after formation is a critical stage of the planetary lifecycle. At this early evolutionary stage, planets may thermally contract (e.g., Fortney et al. 2011) and experience significant atmospheric losses (e.g., Lammer et al. 2003; Lopez & Fortney 2013; Ginzburg et al. 2018). Moreover, the early phase of planetary system formation can be very dynamically active, particularly after the dissipation of the proto-planetary gas disk (e.g., Chambers & Wetherill 1998; Morbidelli et al. 2012). During the first tens of millions of years, young systems may be susceptible to planet–planet scattering events (e.g., Fabrycky & Tremaine 2007; Chatterjee et al. 2008; Ford & Rasio 2008; Naoz et al. 2011), planet collisions (e.g., Asphaug et al. 2006; Hansen 2009), and the prolonged bombardment of planets by asteroids and planetesimals. Additionally, planetary systems in dense star-forming regions may undergo dynamical interactions with other stars in their natal clusters (e.g., Fregeau et al. 2006). Detailed observations of planetary systems in such environments are, therefore, crucial to understanding the general formation history of the exoplanet population.

Among the population of confirmed exoplanets with precisely measured age estimates, 50 exoplanets are estimated to be younger than 500 Myr. For context, we considered a system age estimate to be precisely measured if its error estimate is at most 50% of the estimated age value. Rarer still are young multiplanet systems with hosts bright enough to permit follow-up precision radial velocity investigations—only nine young multiplanet hosts are brighter than G = 12 mag.

In this paper, we report the detection and characterization of HD 63433 d—a young (414 ± 23 Myr), nearby (22.32 ± 0.06 pc) Earth-sized planet orbiting a Sun-like host (spectral type G5V). HD 63433 d is the third planet to be detected in this multiplanet system. The discovery of the other two HD 63433 planets, both mini Neptunes, was reported by Mann et al. (2020).

The discovery of young transiting exoplanets that are amenable to follow-up investigations is of critical importance, as such observations offer constraints to prevailing theoretical models of planetary formation and evolution. Because the planets in the HD 63433 system transit a bright (V ≃ 6.9 mag) host star, this system offers a good opportunity for follow-up analyses. This includes investigations of the transmission spectrum, stellar obliquity, and mass estimates derived via ground-based radial velocity data. The HD 63433 system has already been the subject of numerous follow-up studies thanks to its brightness and proximity (Dai et al. 2020; Zhang et al. 2022; Damasso et al. 2023; Mallorquín et al. 2023), and the newly detected HD 63433 d provides an additional opportunity for follow-up investigations, with the potential to offer constraints on the process of atmospheric escape in a young, Earth-sized exoplanet.

Our analysis of HD 63433 d is part of the TESS Hunt for Young and Maturing Exoplanets (THYME; Newton et al. 2019). The principal goal of THYME is the identification of young transiting exoplanets in moving groups, stellar associations, and open clusters. Stellar groups play an important role in this search, as they are comprised of stars that share common ages and compositions. Therefore, the ages of these systems may be determined using a combination of methods. The THYME project leverages the Transiting Exoplanet Survey Satellite (TESS; Ricker et al. 2015) light curves 34 of stellar members to search for the periodic brightness changes that are indicative of transiting exoplanets. For a review of the transit detection technique, we refer the reader to Santos (2008). The THYME project is the successor to the Zodiacal Exoplanets in Time Survey (ZEIT; Mann et al. 2016), which performed an analogous transiting exoplanet search using time series data from the K2 mission (a series of ecliptic-pointed campaigns conducted after the failure of the second reaction wheel of the Kepler satellite).

The following outline presents the organization of this manuscript. In Section 2, we present the data used in our analysis of HD 63433 and other members of the Ursa Major moving group (hereafter referred to as UMa). In Section 3, we present the observed and inferred properties of HD 63433. In Section 4, we present our analysis of the transit signatures found in the TESS light curve of the host star. In this section, we also present our UMa membership analysis for the planet host, as well as the broader sample of likely UMa members. In Section 5, we describe the procedures we performed to assess false-positive scenarios for the HD 63433 d candidate. In Section 6, we present the results we obtained in our exoplanet characterization, as well as the results from our photometric rotational analyses. Finally, in Section 7, we present our summary and conclusions, highlighting some potential follow-up work.

2. Data

2.1. TESS Photometry

2.1.1. The HD 63433 TESS Light Curve

TESS observations are divided into individual sectors. Each sector is observed continuously for approximately 27 days and covers a region 24° × 96° in size. To date, HD 63433 has been observed in five distinct TESS sectors, resulting in an irregularly sampled baseline that spans between 2019 December 24 and 2022 January 28. In Table 1, we list the sectors, camera numbers, CCD numbers, and sector-specific date ranges that correspond to each observation.

Table 1. The Observation Specifications for Each of the TESS Sectors Analyzed in the Detection and Characterization of HD 63433 d

SectorCadenceCameraCCDDate Range
202 minutes142019/12/24—
    2020/01/20
4420 s412021/10/12—
    2021/11/06
4520 s232021/11/06—
    2021/12/02
4620 s132021/12/02—
    2022/12/30
4720 s142021/12/30—
    2022/01/28

Download table as:  ASCIITypeset image

To analyze the HD 63433 time series and search for exoplanetary signals, we leveraged data from all five TESS sectors; the image data were reduced and analyzed by the Science Processing Operations Center at NASA Ames Research Center (Jenkins et al. 2016). It has been shown that 20 s cadence data have better photometric precision than 2 minute cadence data (Huber et al. 2022). Therefore, we used 20 s cadence data when they were available, opting for 2 minute cadence data otherwise. Also, in our experience, a custom systematics correction can often yield improved results over the default TESS pipeline light curves, especially for young stars with high-amplitude stellar variability. We performed a bespoke analysis, starting with the simple aperture photometry (Twicken et al. 2010; Morris et al. 2020) light curves generated by the TESS Science Processing Operations Center (SPOC) pipeline. 35 The SPOC data described in this section can be found in MAST: doi:10.17909/t51r-sh87.

We applied systematic corrections to these light curves, following the procedure outlined by Vanderburg et al. (2019) and briefly summarized here. The SPOC light curves were fit with a linear model, which consisted of the following components:

  • 1.  
    a basis spline (B-spline) with regularly spaced breaks at 0.3 day intervals to model signatures of low-frequency stellar variability,
  • 2.  
    the mean and standard deviation of the spacecraft quaternion time series within each light-curve exposure, 36
  • 3.  
    seven cotrending vectors from the SPOC Presearch Data Conditioning's band 3 (fast timescale) flux time series correction with the largest eigenvalues (Smith et al. 2012; Stumpe et al. 2012, 2014),
  • 4.  
    a high-pass-filtered (0.1 day) flux time series from the SPOC background aperture.

No flares were observed in the data. Leveraging the systematics-corrected light curves for all five TESS sectors, we searched for transit signals using a box-least-squares (BLS) periodogram (Kovács et al. 2002). This methodology is described in more detail in Vanderburg et al. (2016). We detected the transiting signatures of exoplanets HD 63433 b and HD 63433 c at high significance. Both HD 63433 b and c were detected by the Science Processing Operations Center (Jenkins et al. 2016) at NASA Ames Research Center on 2020 February 2, and the TESS Science Office issued alerts for these candidates on 2020 February 19 and 20, respectively (Guerrero et al. 2021). Mann et al. (2020) first reported the discovery of these planets using a single sector of TESS data (Sector 20). After removal of those two signals, we detected for the first time a third transit signature with a period of 4 days and a shallower transit depth than the signatures of HD 63433 b and HD 63433 c. We additionally apply this process using the transit least squares (TLS) algorithm (Hippke & Heller 2019), which incorporates features such as stellar limb-darkening and the effects of planetary ingress and egress. We recover the third transit signature using this algorithm, and, as found with our BLS search, see no additional periodic signals after removing all three transits from the light curve.

We attribute this signal to a new planet called HD 63433 d. The transit depth of HD 63433 d is about 100 ppm, consistent with that of an Earth-sized planet. The new signal was not reported by either the TESS SPOC or MIT Quick Look Pipeline (Huang et al. 2020a, 2020b) transit searches and was not listed as a TESS planet candidate. We found that the HD 63433 d transit signal was too shallow to be detected with a single sector of TESS data, which is likely why it escaped detection in Mann et al. (2020). Nevertheless, this transit signal is clearly detectable in our analysis of the full, five-sector light curve, with a signal-to-noise ratio (S/N) of about 15.

We performed the standard battery of tests to assess whether the origin of the signal is indeed planetary in nature. This includes an inspection of the phase-folded light curve, tests for consistency of even/odd transits, and a search for secondary eclipses. We found no evidence to refute the detection of HD 63433 d and proceed under the assumption that this signal is a viable planet candidate. We also performed a difference image centroid offset analysis (Twicken et al. 2018) using the SPOC data validation pipeline software and found that the signal must originate within about 20'' of HD 63433, corroborating this interpretation.

After producing our final light curve, we flattened it by simultaneously fitting the three transit signals along with a variability model, similar to the methods used by Vanderburg et al. (2016, albeit without also simultaneously fitting for systematic errors), Pepper et al. (2020). We use this flattened light curve in our Markov Chain Monte Carlo (MCMC) analysis, as described in Section 1.

2.1.2. Light Curves for Other Ursa Major Candidate Members

In addition to kinematic analysis, another important method in distinguishing moving group membership is the analysis of the main-sequence candidate population's gyrochronological rotation sequence, as coeval stars will map out a relation between color and rotation period whose slope is dependent upon the cluster age. We refer the interested reader to Meibom et al. (2011) for a more in-depth discussion of this topic. Candidate UMa members were identified in a volume-limited search (50 pc radius) of HD 63433 and further assessed for membership using the process described in Section 4.2.

To measure photometric rotation periods of UMa candidates, we extracted TESS light curves for each target using cutouts of the full frame images (30 minutes cadence data for the first 2 yr of observations, 10 minutes cadence for the third and fourth years of observations, and 200 s cadence for the fifth and sixth years of observations) via TESSCUT 37 (Brasseur et al. 2019). The light curves were extracted using 20 apertures, and then, we performed a systematic correction process similar to that described in Section 2.1.1 on each light curve. For each source, we identified the aperture that produced the light curve with the highest photometric precision. All light curves were normalized and σ clipped using a 3.5σ threshold. We then analyzed these light curves to search for photometric rotation periods, a process we describe further in Section 4.2.

2.2. Archival Spectroscopy

As a nearby, bright, young star, HD 63433 has been the subject of numerous spectroscopic investigations over the decades, and a treasure trove of archival high-resolution spectroscopic observations of the star exists. Mann et al. (2020) gathered archival radial velocity observations from the ELODIE (Baranne et al. 1996), SOPHIE (Perruchot et al. 2008), and Lick Hamilton spectrographs (Fischer et al. 2014), and collected their high-resolution spectra from the Tillinghast Reflector Echelle Spectrograph (TRES; Fűrész 2008) and the Network of Robotic Echelle Spectrogaphs (NRES; Siverd et al. 2018). Since the discovery of the two large planets in the system, new spectroscopic observations from the High Accuracy Radial velocity Planet Searcher for the Northern hemisphere (HARPS-N; Damasso et al. 2023) and CARMENES (Mallorquín et al. 2023) have been added to this extensive list. Tabulated versions of the radial velocity observations used in this investigation can be found in Table 2 of Mann et al. (2020), Table D.1 of Damasso et al. (2023), and Tables C.1 and C.2 of Mallorquín et al. (2023). All of these data show no large radial velocity (RV) signals corresponding to stellar-mass companions, which allows us to rule out a variety of false-positive scenarios for our newly detected planet candidate (see Section 5).

2.3. Ground-based Seeing-limited Photometry

Signals from blended eclipsing binaries can sometimes result in false-positive transit signals—a concern that is exacerbated by the large pixel size of the TESS instrument (21'' per pixel). To rule out such false-positive scenarios for HD 63433 d, we observed the star during the predicted time of transit for the new planet candidate using the Las Cumbres Observatory Global Telescope (LCOGT; Brown et al. 2013) 1 m telescope at McDonald Observatory on 2022 February 24. The observations were conducted with the 4096 × 4906 pixel Sinistro cameras in Sloan z band. The data were reduced by the LCO BANZAI pipeline (McCully et al. 2018). The light curves were extracted using AstroImageJ (Collins et al. 2017) using an aperture radius of 2farcs5. No sources within this distance were identified with adaptive optics (AO) imaging or in the third data release of the Gaia mission (Gaia DR3) data. While the photometric precision of the target star's light curve was insufficient to detect the shallow transits observed by TESS, the observations showed no evidence of eclipses or other variability in the nearby stars that could be responsible for the signal associated with HD 63433 d (down to GGaia = 19 mag). For reference, the closest star to our target is a GGaia = 19 mag star at an angular separation of 18''. The 2022 February 24 data firmly rule out North Equatorial Belts in stars within $2\buildrel{\,\prime}\over{.} 5$ of the target over a −24.3σ to +22.2σ observing window. All ground-based follow-up light curves are available on ExoFOP. 38

2.4. Seeing-limited Archival Photometry

To corroborate the nondetection of variability of any stars close to the position of HD 63433, we used archival ground-based photometric data from the Zwicky Transient Facility (ZTF) survey (Masci et al. 2019) to check whether the HD 63433 d 4 days transit signal might be the result of a blended eclipsing binary. We used the DEATHSTAR software package (Ross et al. 2023) to download ZTF image cutouts of the sky surrounding HD 63433 and extract light curves from all the stars within $2\buildrel{\,\prime}\over{.} 5$ of the target. We folded the light curves of each nearby star (8 in total) on the orbital period of HD 63433 d and ruled out variability that could plausibly cause the transit signal we see in TESS from any stars other than HD 63433. We conclude that the signal must be coming from HD 63433, consistent with the planetary interpretation.

2.5. Archival Adaptive Optics Imaging

To verify the first two exoplanet detections in the HD 63433 system, Mann et al. (2020) collected archival adaptive optics imaging data spanning nearly a decade (1999–2008, Mason et al. 2001; Raghavan et al. 2012), none of which showed any evidence for bound companions, or any background sources bright enough to cause the transit signals. Combining the detection limits from these archival adaptive optics observations with stellar evolutionary models from Baraffe et al. (2015) based on an inferred system age of 400 Myr, Mann et al. (2020) ruled out the presence of background sources down to substellar masses. We verified this with our own high-angular-resolution observations: an AO observation from Keck Observatory using the NIRC2 instrument on 2020 September 9 in a narrow Brγ filter, and a speckle observation from the Southern Astrophysics Research telescope with the HRCam instrument on 2020 December 29. For reference, the Keck AO observation has the following parameters: an estimated pixel scale of 0farcs009942, point-spread function (PSF) of 0farcs0496482, and an estimated contrast of 7.310 mag at 0farcs5. Similarly, the speckle observations have the following parameters: an estimated pixel scale of 0farcs01575, PSF of 0farcs06364, and an estimated contrast of 7.6 mag at 1''. Neither of these observations showed any new evidence for nearby companions or background objects capable of producing the transit signatures of HD 63433 d.

2.6. Gaia DR3 Data

We utilized Gaia DR3 (Gaia Collaboration et al. 2021) to investigate the kinematic properties, spatial distribution, and stellar properties of HD 63433 and a population of candidate UMa members. The candidate UMa members were identified and assessed for membership using the processes described in Section 4.2. Gaia magnitudes, colors, parallaxes, extinction values, and reddening constraints were employed to determine the properties of this population of targets.

2.7. Archival Lithium Abundances

The published lithium abundance measurements for HD 63433, and the identified UMa catalog sources are drawn from the following catalogs: Soderblom et al. (1993), King & Schuler (2005), Mishenina et al. (2008), Ammler-von Eiff & Guenther (2009), Gonzalez et al. (2010), Ramírez et al. (2012), Luck (2017), Aguilera-Gómez et al. (2018), and Llorente de Andrés et al. (2021). We found that fewer than 20% of our catalog members had corresponding lithium abundance measurements in the literature.

3. Host Star Properties

3.1. Properties of the Host Star

HD 63433 is a well-studied star thanks to its proximity to Earth and long-suspected membership of the Ursa Major moving group, and was thoroughly characterized by Mann et al. (2020). Since that work, an updated parallax from Gaia DR3 has been released, but the change does not appreciably impact the stellar parameters, so we simply adopt the stellar parameters from Mann et al. (2020) for the rest of this work. The directly observed and inferred properties of the host star HD 63433 (TIC 130181866, TOI 1726, HIP 38228, Gaia DR3 875071278432954240) are shown in Table 2, and the abundance properties are provided in Table 3 (from the Hypatia Catalog, Hinkel et al. 2014).

Table 2. Properties of the Host Star HD 63433

ParameterValueSource
TIC ID130181866TESS Input Catalog
TOI ID1726Guerrero et al. (2021)
Gaia DR3 ID875071278432954240Gaia DR3
Astrometry
α.07:49:55.048Gaia DR3
δ.+27:21:47.28Gaia DR3
μα −10.220 ± 0.022Gaia DR3
μδ (mas yr−1)−11.235 ± 0.014Gaia DR3
π (mas)44.6848 ± 0.0228Gaia DR3
distance (pc)22.32 ± 0.06Gaia DR3
Photometry
Spectral TypeG5VGray et al. (2003)
GGaia (mag)6.7372 ± 0.0028Gaia DR3
BPGaia (mag)7.0763 ± 0.0034Gaia DR3
RPGaia (mag)6.2228 ± 0.0042Gaia DR3
BT (mag)7.749 ± 0.016Tycho-2
VT (mag)6.987 ± 0.010Tycho-2
J (mag)5.624 ± 0.0432MASS
H (mag)5.359 ± 0.0262MASS
Ks (mag)5.258 ± 0.0162MASS
W1 (mag)5.246 ± 0.178ALLWISE
W2 (mag)5.129 ± 0.087ALLWISE
W3 (mag)5.297 ± 0.016ALLWISE
W4 (mag)5.163 ± 0.031ALLWISE
Kinematics and Galactic Position
RVBary (km s−1)−16.07 ± 0.13Gaia DR3
U (km s−1)13.88 ± 0.09This paper
V (km s−1)2.49 ± 0.02This paper
W (km s−1)−7.87 ± 0.04This paper
X (pc)−19.84 ± 0.03This paper
Y (pc)−4.68 ± 0.01This paper
Z (pc)9.14 ± 0.01This paper
Physical Properties
Prot (days)6.4 ± 0.6This paper
LX /Lbol (9.1 ± 2.7) × 10−5 Mann et al. (2020)
$\mathrm{log}R{{\prime} }_{\mathrm{HK}}$ −4.39 ± 0.05Mann et al. (2020)
$v\sin i$ (km s−1)7.26 ± 0.15Mallorquín et al. (2023)
i* (°)>71Mann et al. (2020)
Age (Myr)414 ± 23Jones et al. (2015)
Teff (K)5688 ± 28Hinkel et al. (2014)
M (M)0.99 ± 0.03Mann et al. (2020)
R (R)0.912 ± 0.034Mann et al. (2020)
L (L)0.75 ± 0.03Mann et al. (2020)
ρ (ρ)1.3 ± 0.2Mann et al. (2020)
$\mathrm{log}(g)$ ($\mathrm{log}(\mathrm{cm}\,{{\rm{s}}}^{-2})$)4.52 ± 0.05Hinkel et al. (2014)

Download table as:  ASCIITypeset image

Table 3. Abundance Properties of HD 63433

ParameterValue
[Fe/H] (dex)0.03 ± 0.05
A(Li) (dex)2.5 ± 0.2
[C/H] (dex)−0.09 ± 0.074
[N/H] (dex)−0.22 ± 0.11
[O/H] (dex)0.00 ± 0.014
[Na/H] (dex)−0.08 ± 0.24
[Mg/H] (dex)0.02 ± 0.19
[Al/H] (dex)−0.05 ± 0.19
[Si/H] (dex)−0.03 ± 0.08
[SiII/H] (dex)0.05 ± 0.05
[S/H] (dex)0.18 ± 0.09
[Ca/H] (dex)0.09 ± 0.086
[CaII/H] (dex)0.56 ± 0.03
[Sc/H] (dex)0.15 ± 0.067
[ScII/H] (dex)0.08 ± 0.09
[Ti/H] (dex)0.03 ± 0.17
[TiII/H] (dex)0.13 ± 0.06
[V/H] (dex)0.00 ± 0.094
[VII/H] (dex)0.06 ± 0.11
[Cr/H] (dex)0.04 ± 0.094
[CrII/H] (dex)−0.24 ± 0.07
[Mn/H] (dex)−0.15 ± 0.16
[Co/H] (dex)0.07 ± 0.04
[Ni/H] (dex)−0.04 ± 0.10
[Zn/H] (dex)−0.34 ± 0.16
[Zr/H] (dex)0.28 ± 0.10
[PrII/H] (dex)0.31 ± 0.10
[Eu/H] (dex)−0.04 ± 0.11
[EuII/H] (dex)−0.04 ± 0.28

Note. All values were obtained using the Hypatia Catalog. We report only sources with errors less than 0.3 dex (Hinkel et al. 2014).

Download table as:  ASCIITypeset image

Most notably, HD 63433 is bright (V ≃ 6.9 mag), young (414 ± 23 Myr), and positioned at a close distance from the Earth (22.32 ± 0.06 pc). Additionally, HD 63433 is a solar analog (spectral type G5V), exhibiting solar-like qualities, including a mass of 0.99 ± 0.03 M and [Fe/H] = 0.03 ± 0.05 dex (Hinkel et al. 2014). Due to the youth of the host star, it differs substantially from the Sun in terms of its strong lithium abundance (A(Li) =2.5 ± 0.2 dex), short rotation period (Prot = 6.4 ± 0.6 days), and high X-ray luminosity (LX /Lbol = 0.75 ± 0.03).

The Galactic space velocity values were calculated using PyAstronomy tools that draw from the methodology described in Johnson & Soderblom (1987). These calculations relied on Gaia DR3 kinematic and positional measurements. The spatial center of the UMa moving group is (X, Y, Z) = ( − 7.5, + 9.9, + 21.9) pc (Gagné et al. 2018). This can be compared to the Cartesian Galactic coordinates of HD 63433, measured as $(x^{\prime} ,y^{\prime} ,z^{\prime} )\,=(-19.89,-4.70,+9.16)$ pc. We determined that HD 63433 is approximately 23 pc the central point of the UMa moving group. This is similar to the Earth-HD 63433 distance, but in the opposite direction, making HD 63433 roughly equidistant between the solar system and UMa core. This estimate is in good agreement with the value determined in Mann et al. (2020).

Our analysis incorporates stellar properties determined by Mann et al. (2020). They fit the spectral energy distribution (SED) using a grid of empirical templates (with atmosphere models to fill in wavelength gaps). The method provides two estimates of R, one from the Stefan–Boltzmann relation (using the Gaia DR3 parallax and bolometric flux from the SED) and another from the infrared-flux method (Blackwell & Shallis 1977), i.e., from the scale factor between the absolutely calibrated spectrum and the model spectrum. Both radii agree, and both methods reproduce radii from long-baseline interferometry (e.g., von Braun et al. 2012). The resulting Teff and R* are within 1σ of those reported from Gaia DR3 (Gaia Collaboration 2022). The stellar radius uncertainty from Mann et al. (2020) was only propagated along with the mass uncertainty for the starting parameter for stellar density, but Rp/R was a separate parameter that had its own value and uncertainty also determined from the transit models in Mann et al. (2020).

4. Analysis

4.1. Transit Analysis and Results

We used the easy differential-evolution Markov Chain Monte Carlo algorithm, edmcmc (Vanderburg 2021), 39 to obtain transit-fit parameters and uncertainties for the three planets in the HD 63433 system (Ter Braak 2006). The method involves generating many possible solutions, or model parameters, that describe the light-curve transit signal. These parameters are sampled from a probability distribution using the MCMC technique. This technique helps to ensure that the chain explores the full parameter space and prevents the algorithm from getting stuck at local minima.

We then employed the BAsic Transit Model cAlculatioN Python package (BATMAN; Kreidberg 2015), producing three transit models that the edmcmc then fit simultaneously. For reference, BATMAN requires inputs for the following variables: time of inferior conjunction (T0), planet orbital period (P), planet-to-star radius ratio (Rp /R*), inclination (i), argument of periastron (ω), eccentricity (e), limb-darkening coefficients (described below), and scaled semimajor axis (a/R).

To reduce the number of input parameters into the edmcmc, each planet's semimajor axis (a/R) was calculated by leveraging Kepler's third law (under the assumption that Mp/M ≪ 1),

Equation (1)

where G is the gravitational constant, P is the orbital period, and ρ* is the mean stellar density. This allowed us to replace the orbital separations of individual planets with a single free parameter (the mean stellar density). We also reparameterized the eccentricity and argument of periastron for each planet as $\sqrt{e}\sin (\omega )$ and $\sqrt{e}\cos (\omega )$, which has been shown to improve MCMC convergence. We also fit for linear and quadratic limb-darkening coefficients (u1, u2), which we fit for using the (q1, q2) parameterization described by Kipping (2013). In order to interface with BATMAN, which calculates models in terms of u1 and u2, we solved for these coefficients using the following transformations:

Equation (2)

Equation (3)

as determined by Kipping (2013).

For our edmcmc analysis, we imposed Gaussian priors on the mean stellar density and limb-darkening coefficients. The priors imposed on the limb-darkening coefficients are the same as those used by Mann et al. (2020). The width of the stellar density prior was found via error propagation using the stellar mass (M) and radius (R) uncertainties calculated by Mann et al. (2020) after our derivation of the parameter. Other parameters are sampled uniformly, some using physically motivated constraints, such as the optimal impact parameter (b) for each planet being constrained to ∣b∣ < 1 + RP /R, Rp /R > 0, and $\sqrt{e}\cos \omega $ and $\sqrt{e}\sin \omega $ were restricted to (−1,1). Lastly, we restricted the eccentricity of the three planet orbits to be e < 0.9, because high values of eccentricity can sometimes lead to failures of BATMAN's Kepler equation solver. This did not appreciably impact the posterior probability distributions for eccentricity, as the transit data were sufficient to constrain the eccentricity to be less than this value. The priors implemented for all three planets are listed in Table 4.

Table 4.  ${ \mathcal U }[X,Y]$ Indicates a Uniform Prior with Limits X and Y, and ${ \mathcal N }[X,Y]$ Indicates a Gaussian Prior with Mean X, and Standard Deviation Y

ParameterPrior
T0 (TJD) ${ \mathcal U }[-\infty ,\infty ]$
P (days) ${ \mathcal U }[0,\infty ]$
RP /R ${ \mathcal U }[0,1]$
b ${ \mathcal U }[| b| \lt 1+{R}_{P}/{R}_{* }]$
ρ (ρ) ${ \mathcal N }[1.312,0.152]$
q1,1 ${ \mathcal N }[0.30,0.06]$
q2,1 ${ \mathcal N }[0.37,0.05]$
$\sqrt{e}\sin \omega $ ${ \mathcal U }[-1,1]$
$\sqrt{e}\cos \omega $ ${ \mathcal U }[-1,1]$

Download table as:  ASCIITypeset image

Key parameters in the edmcmc code include the number of walkers (the number of individual chains), the number of links (the number of steps that an individual chain will take), and the number of burn-in steps. For context, the number of burn-in steps represents the number of cycles in the initial portion of the MCMC chain that is to be discarded, as the algorithm has yet to reach equilibrium and could bias the evolution of the posterior distribution. Each run of the edmcmc code returns an object, which contains the positions of each walker at each link.

We initialized the MCMC chains at parameters near the values reported for HD 63433 b and HD 63433 c by Mann et al. (2020). In contrast, we initialized the parameters for HD 63433 d based on a by-eye inspection of the BLS power spectrum and phase-folded light curve of the period corresponding to the strongest peak in the power spectrum. Given that transiting exoplanets exhibit a near-edge on inclination, we set the initial inclination input for HD 63433 d to 90°.

For our initial run, the eccentricity (e) and argument of periastron (ω) were fixed to 0. By running our model with e = ω = 0, we simplify our procedure by reducing the number of free parameters to be explored. This initial run with e = ω = 0 employed 102 walkers, 5 × 104 links, and 103 burn-in steps. We utilize the well-converged results from this run as the initial positions for our subsequent runs, where e and ω were then incorporated as free variables. For these runs that explore a larger parameter space, we employ 102 walkers, 106 links, and 104 burn-in steps.

To determine if the edmcmc code has converged to the true posterior distribution of our system, we employed the Gelman & Rubin (1992) convergence statistic. For reference, a Gelman–Rubin value near unity (largest value of 1.2) for each parameter is an indicator that convergence has been achieved. To improve upon the convergence of our first run, we incorporated the results from this run as the starting position for a second run with 106 links. We repeated this process without applying burn-in steps for the successive runs, as the starting positions are taken from the preceding runs. We were ultimately satisfied with the convergence of the posterior distribution parameters after repeating this step seven times, resulting in a combined chain of seven million links. We then used our well-converged edmcmc outputs to construct transit models for each of the three detected HD 63433 planets, once again employing the BATMAN package.

The resulting best-fit parameters and uncertainties from our edmcmc investigation are listed in Table 5. Figure 1 depicts the unflattened HD 63433 TESS light curve (top panel), the flattened light curve with the three BATMAN transit models overlaid (middle panel), and the phase-folded light curves and transit models for the three planets (bottom panel). These results are discussed further in Section 6.

Figure 1.

Figure 1. The top panel shows the unflattened TESS light curve of HD 63433. The middle panel shows the flattened light curve with our three best-fit transit models for planets b, c, and d, as determined by our edmcmc outputs. The colors of these models correspond to each of the three planets as shown in the bottom panels, which depict the phase-folded light curves for each HD 63433 planet with binned data (red points) plotted over our best-fit models.

Standard image High-resolution image

Table 5. Transit-fit Parameters

ParameterPlanet BPlanet CPlanet DPlanet BPlanet CPlanet D
  e,ω Fixed e,ω Free
Transit-fit Parameters
T0 (TJD)1916.45286 ± 0.00042 ${1844.05971}_{-0.00051}^{+0.00052}$ ${2373.82337}_{-0.00073}^{+0.00104}$ ${1916.45262}_{-0.00065}^{+0.00062}$ ${1844.05971}_{-0.00057}^{+0.00060}$ ${2373.82345}_{-0.00083}^{+0.00113}$
P (days)7.1079342 ± 0.000004920.543784 ± 0.000016 ${4.209078}_{-0.000022}^{+0.000016}$ 7.1079379 ± 0.0000054 ${20.543791}_{-0.000018}^{+0.000017}$ ${4.209075}_{-0.000023}^{+0.000012}$
RP /R 0.02116 ± 0.00011 ${0.02578}_{-0.00013}^{+0.00014}$ 0.01090 ± 0.00016 ${0.02123}_{-0.00034}^{+0.00050}$ ${0.02534}_{-0.00026}^{+0.00033}$ ${0.01079}_{-0.00018}^{+0.00022}$
ρ (ρ) ${1.11}_{-0.21}^{+0.18}$ 1.27 ± 0.19
q1,1 ${0.150}_{-0.024}^{+0.027}$ ${0.212}_{-0.026}^{+0.029}$
q2,1 ${0.0046}_{-0.0034}^{+0.0076}$ ${0.382}_{-0.047}^{+0.048}$
$\sqrt{e}\sin \omega $ 0 (fixed)0 (fixed)0 (fixed) ${0.29}_{-0.25}^{+0.18}$ $-{0.08}_{-0.21}^{+0.26}$ ${0.14}_{-0.19}^{+0.23}$
$\sqrt{e}\cos \omega $ 0 (fixed)0 (fixed)0 (fixed) ${0.0023}_{-0.4680}^{+0.4767}$ $-{0.0084}_{-0.5520}^{+0.5822}$ $-{0.0038}_{-0.4709}^{+0.4865}$
i (°) ${88.71}_{-0.44}^{+0.49}$ ${88.98}_{-0.13}^{+0.11}$ ${88.26}_{-0.66}^{+0.83}$ ${88.49}_{-0.40}^{+0.87}$ ${89.28}_{-0.22}^{+0.40}$ ${88.73}_{-1.06}^{+0.85}$
Derived Parameters
a/R ${16.08}_{-0.72}^{+0.58}$ ${32.6}_{-1.5}^{+1.2}$ ${11.34}_{-0.51}^{+0.41}$ ${16.83}_{-0.63}^{+0.57}$ ${34.15}_{-1.29}^{+1.16}$ ${11.87}_{-0.45}^{+0.40}$
b ${0.31}_{-0.13}^{+0.11}$ 0.56 ± 0.05 ${0.31}_{-0.16}^{+0.11}$ ${0.38}_{-0.21}^{+0.09}$ ${0.37}_{-0.21}^{+0.14}$ 0.23 ± 0.16
T14 (days) ${0.13422}_{-0.00041}^{+0.00045}$ ${0.16883}_{-0.00061}^{+0.00073}$ ${0.1118}_{-0.0022}^{+0.0013}$ ${0.122}_{-0.012}^{+0.012}$ ${0.171}_{-0.014}^{+0.013}$ ${0.1077}_{-0.0149}^{+0.0056}$
T23 (days) ${0.12801}_{-0.00047}^{+0.00042}$ ${0.15655}_{-0.00073}^{+0.00060}$ ${0.1091}_{-0.0023}^{+0.0013}$ 0.115 ± 0.012 ${0.161}_{-0.013}^{+0.014}$ ${0.105}_{-0.015}^{+0.006}$
e 0 (fixed)0 (fixed)0 (fixed) ${0.24}_{-0.18}^{+0.27}$ ${0.21}_{-0.14}^{+0.33}$ ${0.16}_{-0.12}^{+0.36}$
Rp (R)1 2.105 ± 0.0792.565 ± 0.0971.084 ± 0.043 ${2.112}_{-0.086}^{+0.093}$ 2.521 ± 0.1 ${1.073}_{-0.044}^{+0.046}$
a (AU) ${0.0682}_{-0.0040}^{+0.0035}$ ${0.1382}_{-0.0082}^{+0.0072}$ ${0.0481}_{-0.0028}^{+0.0025}$ ${0.0714}_{-0.0038}^{+0.0036}$ ${0.1448}_{-0.0077}^{+0.0073}$ ${0.0503}_{-0.0027}^{+0.0025}$

Note.

a Rp derived using the R* value from Table 2.

Download table as:  ASCIITypeset image

4.2. Association of HD 63433 with Ursa Major Moving Group

HD 63433 was previously determined to be a likely member of the UMa moving group via an analysis of kinematics, lithium abundance, and stellar rotation (Mann et al. 2020). Now, with the release of Gaia DR3, it is possible to better characterize the Ursa Major moving group, identify new likely members, and assess whether HD 63433's membership remains solid. Therefore, we perform a moving group membership analysis, drawing from a volume-limited candidate population of UMa members. In this section, we describe the candidate member identification process and the methods used to cull this candidate list down to likely members. We note that, while other groups have also investigated the membership of Ursa Major using Gaia data (e.g., Gagné et al. 2020), we choose to perform our own identification of possible sources for consistency.

4.2.1. Identifying UMa Candidates

To identify a volume-limited population of comoving stellar companions for the HD 63433 target, our team employed the open-source Pythontool Comove 40 (Tofflemire et al. 2021). The software identifies comoving sources with the procedure outlined below.

  • 1.  
    The software queries the Gaia DR3 catalog drawing targets from a volume radius equivalent to the defined search sphere (r = 50 pc in our case), and with tangential velocities (drawing from the target's proper motion) within a specified input velocity difference range (±5 km s−1 in our case).
  • 2.  
    The software queries the Two Micron All Sky Survey (2MASS), Galaxy Evolution Explorer (GALEX), ROSAT, and Wide-field Infrared Survey Explorer (WISE) catalogs, recording measurements for the identified kinematic companions.
  • 3.  
    The software outputs a table listing parameters corresponding to the candidate population. Among the parameters reported are the following: the observed radial velocity from Gaia DR3 (when available), the radial velocity value predicted if the source were comoving with the target with the given tangential velocities, the angular/linear separation between a given source and the target, and Gaia DR3 renormalized unit weight error (RUWE), which can be used to flag for potential binary companions (e.g., Evans 2018; Rizzuto et al. 2018; Belokurov et al. 2020).

Comove derived a table of 1180 potential comoving candidates. We then culled this table to only include sources with reported Gaia DR3 radial velocity measurements that were within ±5 km s−1 of Comove-predicted value. This step resulted in the greatest removal of targets, bringing our table of potential comoving candidates down to 290 sources. It is important to note that 407 of the original candidates did not possess reported Gaia DR3 radial velocity measurements, due to the faintness and brightness limitations of the current radial velocity survey. This limited UMa candidates to a population of main-sequence stars spanning masses of 0.2–1.5 M, as determined by PAdova and TRieste Stellar Evolution Code (PARSEC, version 1.2S; Bressan et al. 2012). The sources removed at this step warrant further study if/when radial velocity measurements are made available. Next, we removed sources that have not yet been observed by TESS, further reducing our table of potential comoving candidates to 130 sources.

4.2.2. Measuring Photometric Rotation Periods for HD 63433 and Our UMa Candidates

We investigated the photometric rotation periods for all 130 UMa candidates. To determine the best period corresponding to a given target, each source was analyzed using three period-search techniques. This included a Lomb–Scargle (LS) periodogram analysis (Lomb 1976; Scargle 1982; Zechmeister & Kürster 2009); the phase dispersion minimization (PDM) algorithm (Stellingwerf 1978); and an autocorrelation function (ACF; McQuillan et al. 2013).

These three period-search techniques were implemented on light curves from each individual sector, while the LS and PDM techniques were also implemented on a full light curve, comprised of all available sectors stitched together. The ACF technique was applied only to individual sectors because the large gaps between TESS observations adversely affected the results.

We searched for periodic signatures within a period range of 0.04 day (twice the integration time) to 30 days. If the observational baseline (τ) for a given source was less than 90 days, we reduced the maximum period-search limit to τ/3. We performed a by-eye analysis of all resulting power spectra, autocorrelation plots, and phase-folded light curves corresponding to the strongest three periods of each of the periodograms. Two individuals from our collaboration team inspected the periodogram results for each candidate to search for signs of a periodic signature and determine the corresponding rotation period. When discernible, the photometric rotation periods for a given source were cataloged along with an accompanying error estimate, which we estimated by taking the larger of either the error calculated by the PDM periodogram (Schwarzenberg-Czerny 1997) or 10% of the rotation period (to account for systematic uncertainties in the rotation period estimates).

In some cases, we observed that TESS instrumental systematics on the timescale of the spacecraft's orbit obscured very short-period rotation signals. To better recover the rotation periods in these cases, we then searched the light curves with all three methods (LS, PDM, and ACF) after high-pass-filtering the light curve by fitting a B-spline with break-points spaced every few days to the light curve and subtracting out the best fit and adding 1 (to return to the original normalization scale). We also introduced discontinuities in the B-spline at the beginning of each new TESS orbit to better model the rapid systematic changes in flux due to the scattered light from the spacecraft's close passage near Earth. Performing this additional analysis on the high-pass-filtered light curve led to the identification of several additional rotators, mostly with very short rotation periods (less than 2 days).

We measure photometric rotation periods for 56 of the 130 stars, which we list in Table 6. We refer to these 56 sources as UMa members from this point forward. Aside from our planet host, which is presented in bold typeface in the top row, the sources are listed in ascending order by reddened-corrected color. In all cases, the reddening correction was less than 1% of the total BP–RP. The table also provides the TESS Input Catalog (TIC) ID, spatial coordinates, apparent and absolute Gaia magnitudes, apparent and absolute colors, distance from Earth, and RUWE value. Our cataloged UMa members are all bright, nearby targets, ranging between 12 and 57 pc from the Earth and 14.6–4.5 mag in apparent Gaia magnitude.

Table 6. Properties of the 56 Likely Members of UMaG Included in Our Catalog (Listed in Ascending Order by Reddened-corrected Color, BP-RP_abs)

TIC IDR.A.Decl.GmagGmag_abs a BP–RPBP-RP_abs b DistRUWEProte_Prot
 (deg)(deg)(mag)(mag)(mag)(mag)(pc) (d)(d)
130181866 117.479 27.363 6.737 4.988 0.854 0.854 22.34 0.99 6.4 0.6
235682463287.291276.56055.0322.8460.4450.44527.461.100.770.1
86433449214.817813.00435.2893.2050.5490.54926.091.101.50.2
40890880492.0267−15.90126.8433.5160.5970.59746.230.931.70.2
362747897247.1172−70.08444.7444.3360.7370.73712.042.118.20.8
28379288463.87006.18696.1754.4560.7430.74322.051.106.50.7
157272202198.404256.70836.6634.6590.7800.78025.121.006.00.6
329574145271.5988−36.01985.8054.6380.7810.78117.100.556.00.6
417762326129.798865.02095.4994.7010.8040.80414.451.174.90.5
2491040127.3473−10.70366.5904.6950.8080.80823.217.408.70.9
28379289163.85746.19976.7785.0590.8600.86022.051.056.50.7
88659764152.578338.41358.6855.0130.8640.86353.891.087.30.7
11788154396.8361−33.11408.2285.0020.8650.86544.121.127.30.7
366351891125.74397.63048.9905.4580.9540.95450.770.895.20.5
366351890125.74737.63099.0315.4950.9590.95750.410.935.20.5
41556310391.668715.54216.5395.5500.9840.98415.760.988.10.8
17647183286.9683−2.76069.1045.6931.0151.00947.450.978.20.8
16045498113.252437.02987.4265.8481.0571.05720.651.038.00.8
14985261244.686240.07239.5596.1521.0811.08147.941.219.51.0
30805633999.409416.27049.6706.0641.1041.10452.541.1715.21.5
28815805998.2995−17.49058.9096.1261.1201.11936.051.119.01.0
99381773190.435555.72477.9856.2031.1561.15622.690.9712.01.2
224305606188.963751.22158.2586.1671.1691.16926.181.319.01.0
105577896153.320242.355410.4946.7101.2981.29856.981.099.61.0
198381449257.543854.49448.4756.8391.3971.39721.230.9711.61.2
419366667121.0079−35.276110.3887.0771.4891.44444.732.8911.71.2
198381445257.551554.49018.8517.2141.5341.53421.210.9711.61.2
97526849167.468421.625510.5087.4681.6341.63440.461.0412.71.3
95618424121.493826.28149.4758.1581.9031.90218.341.1413.61.4
17646965486.8249−0.013610.2078.1341.9141.91225.831.0515.01.5
97488127165.659821.96718.8118.4262.0062.00511.921.1213.61.4
464452462282.6110−62.05109.8838.7652.0872.08716.760.978.00.8
159503663246.493583.406711.0288.7222.1212.11928.881.1616.71.7
139053298182.206330.350311.4819.2232.2722.27228.131.058.60.9
386955374172.853713.745411.8449.0492.2892.28936.270.974.50.5
39073397044.082761.689612.2899.5922.3692.36934.721.134.50.2
290970527309.0346−36.119910.5879.4492.3952.39516.891.172.10.2
165599288227.283859.073811.8849.5452.4392.43729.181.344.00.4
98506634227.612713.467112.54510.2602.6422.64228.581.301.80.2
7789621378.8634−35.807013.06210.4372.6492.64633.331.2310.61.0
20118579130.165345.004513.57810.4182.7092.70942.791.267.30.7
313110473211.096772.413013.11510.4522.7402.74033.991.274.90.5
290474796139.04241.885811.68910.7162.7642.76415.641.121.50.2
309661100116.807850.344011.78211.0352.7992.79914.111.410.770.1
219463771208.411677.618911.54010.9292.8032.80313.251.201.250.1
291962446106.27524.334314.58111.1442.8252.82448.601.080.750.8
80949873122.021459.607713.49810.9162.8392.83432.591.232.70.3
7288236486.1131−4.100413.24711.3652.8662.86623.821.170.90.1
72636078218.045016.013712.24111.2512.8672.86715.711.360.770.1
162131472249.4300−20.226112.32610.8562.8722.87219.681.303.40.4
6162702978.322027.617313.76511.1262.9412.89832.701.121.40.1
219787770264.520365.157513.57510.7642.9422.89835.441.290.40.1
396948416179.683910.332514.43111.2992.9552.95342.231.230.90.1
21220201128.910316.482514.34611.7442.9832.98332.921.160.20.1
17992446171.018238.136413.00811.6773.0173.01718.431.410.50.1
141821609206.241255.472813.93011.8463.0253.02526.021.330.30.1

Notes. While the rotation periods and errors (Prot and e_Prot) were determined by this work, all other properties were obtained from Gaia DR3. We show the properties of HD 63433 in the top, bold row. Comments about individual catalog sources are not included here, but are available in the digital version of the catalog.

a The absolute Gaia magnitude, such that ${G}_{\mathrm{abs}}=G+5\times {\mathrm{log}}_{10}(\varpi /100)-{A}_{{\rm{G}}}.$ b The absolute BP–RP color, such that BP-RP_abs=BP-RP-E(BP-RP).

Download table as:  ASCIITypeset image

4.2.3. Rotation Sequence Consistency among UMa Members

The correlation between color and stellar rotation period (gyrochronological sequence) in moving groups has been well documented (e.g., Barnes 2007; Hartman et al. 2010; Douglas et al. 2016; van Saders et al. 2016). This relation builds upon the foundational work of Skumanich (1972), who discovered a correlation between the average rotational velocity ($v\sin i$) and the age of a given stellar cluster.

We illustrate the color–rotation sequence of our UMa catalog members in Figure 2. We annotate the top of the figure to indicate the range of spectral types, adding shaded panels that correspond to the hexadecimal color codes for a given spectral type (corresponding to luminosity class V and subclass 5), as reported by Harre & Heller (2021). The gyrochronological relation only holds for main-sequence stars, however; as we will show in Section 4.2.4, our UMa catalog members are all positioned along the main sequence. Therefore, we include the full UMa catalog in Figure 2. UMa catalog sources that are likely isolated (RUWE <1.2) are denoted as crimson circles, while potential binaries (RUWE ≥1.2) are depicted as crimson squares (both contain error bars). UMa sources reported in Mann et al. (2020) but not included in our catalog are shown as light blue squares/circles (the same RUWE criterion applies here). We also plot members of the 670 Myr Praesepe cluster (Douglas et al. 2017) and the 120 Myr Pleiades cluster (Rebull et al. 2016), incorporating the Gaia DR3 reddening-corrected color to optimally align the three systems. In cases where the reddening corrections were not available (such as the small subset of Mann et al. 2020; UMa catalog sources not included in our catalog), we annotate symbols with an "x" symbol.

Figure 2.

Figure 2. The color–rotation sequence for catalog members of the UMa moving group, as compared to the 120 Myr Pleiades (Rebull et al. 2016) cluster and the 670 Myr Praesepe cluster (Douglas et al. 2017). Circles indicate UMa sources with RUWE <1.2, while squares indicate those with RUWE ≥1.2. Our target HD 63433 is shown as a gold star. Light blue circles/squares denote UMa sources featured in Mann et al. (2020)—those shown with an "x" symbol overplotted lack Gaia DR3 reddening values required for absolute calibration. We identify the spectral types investigated, adding shaded panels that correspond to the hexadecimal color codes for a given spectral type (luminosity class V, subclass 5), as reported by Harre & Heller (2021).

Standard image High-resolution image

The UMa sources form a well-defined color–rotation sequence, with bluer, more massive UMa members exhibiting shorter periods. For redder UMa members, the rotation period increases for lower mass stars until the tight sequence ends for M-dwarf members, and the rotation periods are more randomly distributed. Importantly, our planet-hosting star, HD 63433, falls well within the UMa color–rotation sequence, corroborating its association with the moving group. It is shown in the plot as a gold star.

Our updated color–rotation sequence has several additional interesting features. We measure a rotation period of 0.77 day for the bluest UMa catalog source (F1V spectral type), which is well aligned with the rotation periods of F1V stars in other young clusters, including the two shown in Figure 2. The slope of the color–rotation relation and the corresponding point of divergence (the mass below which there is no tight rotation sequence) are age-dependent, with older clusters exhibiting steeper slopes and divergences from the relation at lower masses. We observe that, for our UMa catalog members, the divergence from the color–rotation relation occurs for sources later than spectral type M1V, as would be expected for a cluster with an age estimate of 414 ± 23 Myr (Jones et al. 2015). In contrast, this divergence occurs at spectral type K4V for the younger Pleiades cluster and at later M-type for the older Praesepe cluster. UMa's color–rotation relation for FGK stars also shows a slope intermediate to that of the Pleiades and Praesepe systems, corroborating the fact that UMa's age is between that of those two clusters.

4.2.4. Color–Magnitude Diagram Consistency among UMa Members

We also assessed whether HD 63433's color–magnitude diagram position is consistent with that of the other UMa catalog members. We find that our UMa catalog members are well-matched to a 400 Myr, [M/H] = 0.02 dex stellar isochrone, as shown by the result drawn from the PARSEC (version 1.2S) in Figure 3 (Bressan et al. 2012). 41 We find that HD 63433 (shown as a gold star in Figure 3) falls precisely in the sequence of other UMa members in color–magnitude space, in close agreement with the PARSEC isochrone prediction, as expected for a single star member of the group.

Figure 3.

Figure 3. Color–magnitude diagram of HD 63433 (gold star) and our catalog of UMa comoving members (crimson circles/squares). Same legend definitions as Figure 2. In black, we illustrate a PAdova and TRieste Stellar Evolution Code (PARSEC) isochrone (version 1.2S) for a 400 Myr system with [M/H] = 0.02 dex (Bressan et al. 2012). We identify the spectral types investigated, adding shaded panels that correspond to the hexadecimal color codes for a given spectral type (luminosity class V, subclass 5), as reported by Harre & Heller (2021).

Standard image High-resolution image

The fact that the UMa candidate members closely match a 400 Myr isochrone is encouraging for the fidelity of the sample, and suggestive that the stars are coeval, but because of the spectral types of our candidate members, this is not a particularly stringent test. As described in Section 1, the color–magnitude diagram (CMD) location of GKM main-sequence stars is consistent with that for isochrones spanning several billion years; therefore, only sources with strong departures from the isochrone can be flagged as potential field candidates. Such departures may arise among main-sequence stars with appreciably different metallicity but also may arise from binarity and/or nonstandard stellar evolution.

We do see some such deviations from the color–magnitude sequence for a handful of candidate UMa members in Figure 3. In particular, a handful of sources included in the Mann et al. (2020) analysis, but excluded from our list of candidate members (shown as blue circles/squares), show significant departures from the CMD. We attribute these deviations from the color–magnitude sequence to the effects of binarity, where the combined light from blended binary stars causes the unresolved source to sit above the color–magnitude sequence in absolute magnitude. Supporting the binary hypothesis is the fact that 4/5 of these stars were excluded from our sample because of their high RUWE metrics (RUWE > 2).

We note that other possible causes for deviations from a tight color–magnitude sequence include a range of spot filling factors (that are not included in models) or incorrect or missing corrections for extinction and reddening. We suspect the former explanation is more likely because reddening corrections are negligible for UMa members due to their proximity. The average line-of-sight reddening correction (E(BP-RP)E(BP–RP)) for our UMa catalog sources is 0.002 ± 0.001 mag, much less than the uncertainties on these quantities. We label the sources missing these corrections with an "x" symbol.

We annotate the top of Figure 3 to indicate the range of spectral types included on the color–magnitude diagram, adding shaded panels that correspond to the hexadecimal color codes for a given spectral type (luminosity class V, subclass 5), as reported by Harre & Heller (2021). Our UMa catalog members range in spectral type between F1V and M5V, which corresponds to a mass range of 1.6–0.2 M (as determined by a fit to the PARSEC isochrone).

For the sake of completeness and to include more evolved/luminous stellar members in this catalog, we searched for kinematic matches among subclass IV targets and main-sequence stars of earlier spectral types that were included in prior UMa catalogs (before the kinematic precision made available by the Gaia mission), drawing from resources such as Miczaika (1948), Soderblom et al. (1993). Such sources could help to establish a more well-defined main-sequence turnoff point, which would permit the calculation of a main-sequence turnoff mass and corresponding age for the UMa system. However, we were unable to identify any kinematic matches. Part of the difficulty in our search for more luminous kinematic members is because Gaia DR3 radial velocity measurements were often not available for these sources. A targeted radial velocity follow-up study would offer the potential to identify more luminous kinematic UMa members.

4.2.5. Lithium Sequence Consistency among UMa Members

The abundance of lithium in the stellar photosphere is another important age diagnostic for young stars (Jeffries 2014; Barrado 2016). Therefore, we searched the literature for measurements of the lithium abundance for our UMa members. We computed a weighted average of the lithium values found in the literature (from the sources described in Section 2.7). In Figure 4, these results are illustrated as a function of reddening-corrected color. To provide a consistent contrast, we illustrate the color–A(Li) relations for members of the Pleiades and Praesepe clusters (Cummings et al. 2017; Bouvier et al. 2018). For the Pleiades and Praesepe members depicted, effective temperatures were transformed to reddening-corrected colors using the color conversion function described in Mucciarelli et al. (2021).

Figure 4.

Figure 4. Color–A(Li) sequence of our cataloged UMa members (crimson circles/squares) with HD 63433 depicted as a gold star. Same legend definitions as Figure 2. Twelve sources in our catalog had published A(Li) abundances. The solar system meteoritic abundance level of 3.3 dex is depicted as a horizontal dashed line (Asplund et al. 2009). To indicate the range in stellar types, we illustrate the hexadecimal color codes reported by Harre & Heller (2021; luminosity class V, subclass 5). The color–A(Li) relation for the 120 Myr Pleiades cluster (Bouvier et al. 2018) and the 670 Myr Praesepe cluster (Cummings et al. 2017) are shown as a comparison. A/F-type stars in all three systems show evidence of the well-known lithium dip feature (Boesgaard & Tripicco 1986).

Standard image High-resolution image

We found that roughly 20% of our UMa catalog sources have published lithium abundance measurements. These sources form a clear color–lithium sequence, and the large A(Li) measurements are reflective of a young stellar association. Once again, the lithium abundance for HD 63433 (shown as a gold star) falls well within the sequence of the other UMa group candidate members, strengthening the case for its association with the group. Similar to the color–rotation sequence, UMa's color–lithium relation is shown to map out a region intermediate to that of the Pleiades and Praesepe systems, corroborating the fact that UMa's age is between that of those two clusters.

In Figure 4, we include a dashed horizontal line indicating the solar system meteoritic lithium abundance value of 3.3 dex (Asplund et al. 2009). This is the value corresponding to the initial lithium supply of a given star before the onset of depletion. We also note evidence for a lithium dip feature, known to impact A- and F-type stars (Boesgaard & Tripicco 1986). The departure from a monotonic relation between lithium abundance and color is seen for stars earlier than F5V spectral type, which corresponds to stars with effective temperatures ≳6600 K. Our bluest UMa catalog source (F4V spectral type) is shown to coincide with the center of the lithium dip feature, strongly departing from the nearly monotonic color–A(Li) relation traced out by the other UMa catalog sources.

Our updated view of this larger population of UMa members does not change the original conclusion that HD 63433's properties are highly consistent with the group's constituent stars. We, therefore, consider HD 63433 to be a member of UMa, and apply the group's age measurement of 414 ± 23 to HD 63433 and its planetary companions (Jones et al. 2015).

5. Ruling out False-positive Scenarios

5.1. Possible False-positive Scenarios

Sometimes, scenarios other than transiting exoplanets can cause apparent dips in the brightness of stars, so transiting exoplanet detections, like that of HD 63433 d, require scrutiny and analysis before they can be considered solid. One way to increase confidence in exoplanet detections is called confirmation, which involves detecting the signal of the planet with an independent detection method. Confirmation often requires expensive follow-up observations, and in many cases is unfeasible given the sensitivity of other detection techniques. Another way to increase confidence in exoplanet detections is "validation," which involves quantifying, testing, and rejecting all other possible false-positive scenarios (such as eclipsing binary, blended binary, stellar spots, or instrumental artifacts; see Ciardi et al. 2015), leaving a real exoplanet as the most probable explanation for the candidate transit signal. Because confirmation of HD 63433 d is likely beyond the capabilities of current precise radial velocity observations (because of HD 63433's high-amplitude stellar variability), we use the validation approach to show that HD 63433 is overwhelmingly likely to be a real exoplanet.

In particular, we address the following classes of false-positive signals and show that HD 63433 d cannot be caused by each scenario:

  • 1.  
    Signal arises from instrumental effects and/or stellar variability. One possibility is that the detected signal is an instrumental artifact or a false alarm resulting from high-amplitude stellar variability. Typically, in such cases, we would anticipate variations in the signal's shape, amplitude, and other attributes across different sections of the light curve. This is because instrumental glitches or stellar variability features are not expected to repeat in perfectly periodic intervals, corresponding to a 4.2 days orbital period. We test this scenario for HD 63433 d by assessing the consistency of the transit signal between different transits and different sectors. We found no evidence for variable transit depths. The signal's period is distinct from the stellar rotation period and its harmonics, and there are no known TESS instrumental systematics that repeats every 4.2 days. We also confirmed visually that no anomalies in the background flux took place at the times of the transits of HD 63433 d in any of the observed sectors. We conclude that the signal is astrophysical and caused by an orbiting object.
  • 2.  
    HD 63433 itself is an eclipsing binary. Some stellar eclipses (especially grazing eclipses of small stars) are difficult to distinguish from planetary transits without additional observations, which can be a source of false positives among a list of planetary candidates. It is straightforward to rule this scenario out by collecting radial velocity observations of the host star, as stellar-mass companions will cause Doppler shifts with amplitudes much greater than 1 km s−1. Dozens of radial velocity observations collected over the years, and described in Section 2.2, show no velocity shifts greater than about 100 m s−1. Given that the predicted radial velocity semiamplitude (K) values corresponding to an equal mass binary system and a G-type + M-type binary system are much larger than these measurements (8 × 104 and 5 × 104 m s−1, respectively), HD 63433 itself cannot be an eclipsing binary.
  • 3.  
    Contamination by eclipsing binaries. TESS has a focus-limited PSF with a large pixel scale of approximately 21'', so the photometric masks used to extract light curves are large and include flux from several other nearby stars. Thus, these nearby stars that are unresolved by TESS but can be resolved by ground-based telescopes can sometimes introduce contaminating signals that mimic planetary transits. For context, the number of known Gaia sources (including HD 63433) within the TESS photometric apertures are 10 sources in Sector 20, 9 sources in Sectors 44 and 45, 8 sources in Sector 46, and 12 sources in Sector 47. Using the seeing-limited ground-based observations described in Sections 2.3 and 2.4, we placed an upper limit of 6farcs6 on the radius of confusion regarding this possibility. Our observations from the LCO telescope at McDonald Observatory and the archival ZTF light curves we created with DEATHSTAR place a tight upper limit on the radius of confusion among eclipsing binaries with HD 63433 d's orbital period.In addition to nearby eclipsing binaries far enough from HD 63433 to be resolved by seeing-limited ground-based telescopes, sometimes false positives are caused by eclipsing binaries close enough to be blended with the target in ground-based images. The vast majority of these targets can be ruled out by adaptive optics observations, which can increase the resolution of ground-based telescopes by orders of magnitude and reveal faint stars that could be the source of the transits.We quantified how bright any given star must be to cause the transits we observe for HD 63433 d. Following Vanderburg et al. (2019), we fit the light curve again with MCMC to measure the duration of transit ingress and egress for this new signal, while imposing no physical constraints (e.g., not requiring Kepler's third law be obeyed). We converted this ingress/egress duration into an effective magnitude limit and found that with 99.7% confidence, for a blended star to mimic HD 63433's transit signal, it must be within 5.57 mag of the target star's brightness. The existing adaptive optics imaging rules out stars this bright at distances greater than about 150 mas from the target.With just a single adaptive optics observation, it is still possible (although very unlikely) that an eclipsing binary could reside at the precise location of the star. This false-positive scenario can be ruled out with multiple adaptive optics observations over a large temporal baseline. Over the nearly 17 yr between the first deep archival adaptive optics observation of HD 63433 (as described in Ammler-von Eiff et al. 2016) and our new observations reported in this paper, the star's apparent position has moved by over 250 mas due to its proper motion. Both the archival adaptive optics observation taken in 2004 and our new Keck observation have a sensitivity to companions with contrast greater than 5.57 mag at 250 mas separations (at near-infrared wavelengths, so even greater contrast at visible wavelengths where TESS observes). Therefore, combining these adaptive optics observations makes it possible to rule out all background eclipsing binaries bright enough to cause the transit signal of HD 63433 d.
  • 4.  
    Physically associated eclipsing binaries. One final false-positive scenario is that a physically associated (comoving) faint companion star to HD 63433 is an eclipsing binary. This cannot be completely ruled out with multiple adaptive optics observations over time, because the companion moves with the target and could remain so close to being blended even in the high-resolution observations. However, to remain undetected by our high-angular-resolution observations, an eclipsing binary companion would have to orbit at a distance less than about 3 au, and therefore with orbital periods less than about 5 yr. Such a stellar companion would be easily detected in the archival RV observations if it exists, except in extremely finely tuned and unlikely (probability less than 10−4) face-on inclinations that would reduce the RV shifts to less than about 100 m s−1. Therefore, with high confidence, we conclude that there are no physically associated eclipsing binaries that could mimic the signal of HD 63433 d.

Since we can confidently rule out all of these possible false-positive scenarios, we conclude that the overwhelmingly likeliest explanation for the observed transit signal is that HD 63433 d is a genuine exoplanet and consider it validated.

5.2. Statistical Validation with TRICERATOPS

To double-check our conclusion that no false-positive scenarios can mimic the signal of HD 63433 d, we employed the TRICERATOPS pipeline (Giacalone et al. 2021) to calculate the likelihood of false-positive scenarios. TRICERATOPS computes the probability that an input light curve originates from a wide range of scenarios using Bayesian inference. The pipeline takes into account several astrophysical false-positive configurations, including those discussed above, and calculates the false-positive probability (FPP), which is the probability that the observed transit is not caused by a planet (e.g., an eclipsing binary) and the nearby false-positive probability (NFPP), which is the probability that the signal comes from a nearby resolved star. A planet is considered statistically validated when the false-positive scenarios can be ruled out with a certain level of confidence, typically the FPP <0.01 and the NFPP <0.001 (Morton 2012, 2015; Rowe et al. 2014; Giacalone et al. 2021). We ran TRICERATOPS using the light curve for planet d, with the transit signals for planets b and c removed, phase-folded on the period from our edmcmc models. Furthermore, we also implemented the Keck NIRC2 high-contrast imaging AO observations described in Section 2.5 as well as observations from the Very Large Telescope (VLT) reported in Ammler-von Eiff et al. (2016), to better constrain the overall calculation. The contrast curves corresponding to these two observations are shown in Figure 5. We obtained FPP =(1.1 ± 2.5) × 10−5, and NFPP = 0 for the signal associated with HD 63433 d. This value for FPP falls well below the customary threshold of 10−3 for a statistically validated planet and agrees with the claims discussed in Section 5.

Figure 5.

Figure 5. Contrast curves obtained from Keck/NIRC2 high-contrast observations (black line; Br-γ filter) and VLT observations (red line; K filter). The 5σ contrast limits for secondary sources are plotted against angular separation.

Standard image High-resolution image

6. Discussion

6.1. Physical Parameters of HD 63433 d

Based on the results of our analysis, HD 63433 d can be described as a hot Earth. Our MCMC modeling, combined with derived stellar parameters, yields a radius of ${1.073}_{-0.044}^{+0.046}$ R, just slightly larger than the size of our home planet. The planet orbits HD 63433 every ${4.209075}_{-0.000023}^{+0.000012}$ days (these errors are on the order of 1 s). The planet has a semimajor axis that is about 20 times smaller than that of Earth (${0.0503}_{-0.0027}^{+0.0025}$ au). We constrain the eccentricity to be moderate at most (<0.52 at 84% confidence, and <0.73 at 95% confidence), but our posterior draws are consistent with a perfectly circular orbit. This would be in line with results from Kepler for planets in multitransiting systems (Van Eylen et al. 2019).

The orbital period ratios of planets b and d are close to resonance. However, since the ratio is slightly interior to the location of the resonance, it is unlikely that the system is in resonance, as the pile-up of resonant systems occurs slightly exterior to the resonance (Fabrycky et al. 2012).

The equilibrium temperature, Teq, of HD 63433 d can be calculated assuming a circular orbit, an albedo (α) of 0.3, and perfect heat redistribution, such that

Equation (4)

where a is the planet's semimajor axis, Teff is the stellar effective temperature, and R is the radius of the host star. Leveraging the values provided in this paper, this results in an equilibrium temperature of Teq = 1040 ± 40 K.

However, radial velocity observations (e.g., Rogers 2015) have shown that planets the size of HD 63433 d almost always have predominantly rocky compositions and no thick atmospheres (although note that these observations come almost exclusively from stars older than HD 63433; see Section 6.3). If HD 63433 d is indeed predominantly rocky, then it likely has no thick atmosphere that could efficiently redistribute heat, as assumed by Equation (4). Therefore, we estimate the dayside temperature of HD 63433 d under the assumption of a tidally locked blackbody (i.e., a rocky surface with no atmosphere). The assumption that the planet is tidally locked is supported by the tidal locking timescale, as calculated from Gladman et al. (1996). More specifically, assuming a tidal Q of 100 and an initial rotation rate of one cycle per day, we derive a tidal locking timescale of tloc ≈ 103–104 yr, which is much shorter than the age of the system. According to Cowan & Agol (2011), the apparent observed dayside temperature (Tday) of a planet in a noneccentric orbit, with no heat redistribution to its night side, 42 can be expressed as

Equation (5)

where ${T}_{\mathrm{sub}}={T}_{\mathrm{eff}}{({R}_{\star }/a)}^{1/2}$ and represents the temperature at the planet's substellar point (the point on the planet's surface such that the host star is at the zenith). Assuming α = 0 (similar to the measured albedo for the rocky planet Trappist-1b; Greene et al. 2023), we calculate that the dayside temperature of HD 63433 d is approximately Tday=1530 K (a = 0.0481 au). The planetary temperature resembles other lava planets, such as CoRoT-7b and Kepler-10b (Léger et al. 2009; Batalha et al. 2011).

6.2. HD 63433 d in Context

HD 63433d's small size and precisely known young age, in combination with the proximity and brightness of its host star, make it stand out from the known population of exoplanets in several ways. First, HD 63433 d is the smallest known planet with a precisely measured age that is less than 500 Myr, making it an important touchstone for understanding how Earth-sized planets evolve. This is shown in Figure 6, which depicts the planet radius as a function of the orbital period for all confirmed exoplanets (NASA Exoplanet Archive, Akeson et al. 2013). While the full sample is shown in gray, we highlight in blue the relatively small subset of planets with precisely measured ages less than 500 Myr. For context, we considered a system age estimate to be precisely measured if its error estimate is at most 50% of the estimated age value. Note that the apparent lack of planets older than 500 Myr with orbital periods greater than 104 days is because the technique used to find these objects (direct imaging) is biased toward young, bright systems.

Figure 6.

Figure 6. Planet radius vs. orbital period for confirmed exoplanets (gray circles), confirmed exoplanets with reliable age estimates that are <500 Myr (blue pentagons), and the three HD 63433 planets (b, red star; c, orange star; and d, yellow star). Note that there are few detections of young, Earth-sized planets. Those detected are in short-period orbits about their stellar hosts. For enhanced readability of the figure, we omit exoplanets detected via the direct imaging method, as their orbital separations are much larger.

Standard image High-resolution image

HD 63433 is one of the nearest and brightest transiting planet hosts in the sky. According to the NASA Exoplanet Archive (accessed 2023 November 9), only seven transiting planet hosts 43 with brighter magnitudes in the TESS bandpass are known. None of these stars are particularly young or are members of clusters or associations. Therefore, HD 63433 is the brightest known host of young transiting exoplanets in the sky. The high rate of stellar photons from HD 63433 striking TESS's detectors enabled a high enough light-curve precision to detect the very shallow (100 ppm) transits of this Earth-sized planet.

HD 63433's brightness is due to its proximity (22 pc) to the solar system. Figure 7 depicts the population of confirmed exoplanets as a function of planet radius and distance from Earth to the host star. Among young stars hosting transiting planets, only AU Mic lies closer to Earth than HD 63433. HD 63433's close distance to Earth allows studies of atmospheric escape. Zhang et al. (2022) searched for signatures of ongoing photoevaporation in the two previously known planets, and observed Lyman α absorption from HD 63433 c, but not from HD 63433 b. Using hydrodynamical simulations, they showed that, if HD 63433 b had a H/He atmosphere, its photoevaporative outflow would have been observable. Those results suggest that HD 63433 b lost its primordial H/He atmosphere. HD 63433 d experiences a stellar flux twice as large as that of HD 63433 b; therefore, unless HD 63433 d is much more massive than standard mass–radius relations (e.g., Chen & Kipping 2016) predict, it likely lost its primordial H/He atmosphere too. Observations and models similar to those of Zhang et al. (2022) could test this expectation and help understand the atmospheric evolution of the planet.

Figure 7.

Figure 7. Distance from Earth vs. planet radius for confirmed exoplanets (gray circles), confirmed exoplanets with reliable age estimates that are <500 Myr (blue pentagons), and the three HD 63433 planets (b, red star; c, orange star; and d, yellow star). Note that HD 63433 d is the nearest, young, Earth-sized exoplanet discovered to date.

Standard image High-resolution image

6.3. HD 63433 d: A Case Study for Atmospheric Loss

Currently, one of the most important inquiries in exoplanet science is understanding in which circumstances planets keep or lose their thick primordial hydrogen/helium atmospheres, and what physical processes drive this phenomenon. Population-level studies have revealed the presence of a gap in the radius distribution of small planets (Owen & Wu 2013; Fulton et al. 2017; Van Eylen et al. 2018; Zeng et al. 2019). Two of the leading mechanisms for understanding the formation of this feature, extreme ultraviolet photoevaporation (Owen & Wu 2017) and core-powered mass loss (Gupta & Schlichting 2019) differ most significantly in timescales on which they act, so a promising way to distinguish these mechanisms is to study atmospheric escape and mass loss for planets with known ages. Recent studies (Kreidberg et al. 2019; Crossfield et al. 2022; Greene et al. 2023; Zieba et al. 2023) have found that atmospheric loss is an important process for older terrestrial planets orbiting M-type stars. Given its radius well below the gap, HD 63433 d might be expected to have a rocky composition based on comparison with older planets, but if mass loss takes longer than ≈500 Myr, it might still have a thick envelope. Because Earth-sized planets orbiting young, Sun-like stars have so far been difficult to detect, HD 63433 d presents a particularly compelling case study for atmospheric investigations of close-orbiting Earth-sized planets.

6.4. Future Work Characterizing HD 63433

HD 63433 d presents intriguing and unique opportunities for future follow-up observations. It would be valuable to interrogate the planet's mass using precise radial velocities and determine whether the composition is indeed rocky, as expected based on observations of older planets. However, this will be challenging due to the high-amplitude stellar radial-velocity variability, which has limited attempts to measure the masses of the larger HD 63433 planets (Damasso et al. 2023; Mallorquín et al. 2023). Due to its proximity to Earth and high temperature, it may be feasible to utilize the James Webb Space Telescope (JWST) to detect the thermal emission from HD 63433 d. Several JWST MIRI programs have been designed to capture the thermal emission of rocky exoplanets, but HD 63433 d is younger than all terrestrial worlds with planned JWST emission observations. Although HD 63433 d is more luminous than many planets targeted for MIRI thermal emission observations, we estimate that the planet's eclipse depth in the mid-IR will only be approximately 20–30 ppm due to its orbit around a relatively large, Sun-like star. MIRI should be capable of detecting such shallow eclipse depths; Bouwman et al. (2023) report 15 ppm bandpass averaged precision in commissioning data, so the systematic noise floor should not be an issue. Moreover, the star's unusual brightness should provide plenty of photons to make these sensitive measurements. Kempton et al. (2018) presented an emission spectroscopy metric (ESM) for terrestrial planets that is proportional to the expected S/N of a JWST secondary eclipse detection at the center of the MIRI LRS bandpass, a wavelength of 7.5 μm. For HD 63433 d, we calculate an ESM of 7.1 ± 0.3, comparable to what the authors of that study found for planet GJ 1132b, which they used as their benchmark for a small rocky planet orbiting a nearby, bright M-dwarf. The precisely known age of this planet makes secondary eclipse observations particularly interesting for probing the presence of an atmosphere.

Finally, TESS is scheduled to obtain another sector of observations of HD 63433 between 2023 November and December (Sector 72), and may continue observing the star in future mission extensions. These additional observations will improve the precision of parameters for the known planets and may reveal additional transit signals. In the Kepler catalog, among the 277 systems with at least three transiting planet candidates, 35% (98 total) host at least one additional planet. Although we find no additional transit signals in the BLS and TLS searches after removal of the three transit signatures, the odds of HD 63433 itself hosting additional planets that may be revealed with additional observations are not insignificant.

6.5. Future Work Characterizing the Ursa Major Moving Group

An important result of our work is that we have identified many new members of the Ursa Major moving group using new radial velocity measurements from Gaia DR3. We identified a set of 56 likely members based on kinematics and photometric rotation period analysis, which allowed us to significantly increase the number of Ursa Major sources with measured rotation periods and show a coherent rotation sequence with an age intermediate to that of the Pleiades and Praesepe clusters. The new observations from Gaia DR3 promise significant further improvements to the membership and properties of the moving group. We excluded many stars from further analysis based on the lack of radial velocity measurements from Gaia DR3. Since Gaia RVs are only measured with short exposures in the region of the Ca infrared triplet lines, hot stars with a few broad lines are likely systematically excluded. Ground-based follow-up may reveal that some of the sources we excluded, especially hot stars, indeed appear to be kinematic cluster members. Identifying new hot/massive stellar members could yield better constraints on the group's age through color–magnitude diagram fitting. It may even be possible to measure asteroseismic oscillations for any members that exhibit pulsational signatures. Moreover, ground-based spectroscopic follow-up of potential UMa members to measure lithium abundances will provide another important constraint on the group's age. Future characterization of the Ursa Major group itself will ultimately enhance our knowledge of the HD 63433 multiplanet system.

7. Summary

In this work, we have presented the discovery and characterization of an Earth-sized planet orbiting the nearby, bright young star HD 63433. This is the third planet to be detected in the HD 63433 system. The system is a likely member of the UMa moving group. We analyzed TESS data to study the planet candidate and analyzed the properties of the UMa moving group to assess its membership.

HD 63433 d is an Earth-sized (${1.073}_{-0.044}^{+0.046}$ R) planet orbiting a nearby (22 pc), bright (V ≃ 6.9 mag), young (414 ± 23 Myr) star that is reminiscent of a young Sun. HD 63433 d orbits its host star with a period of ${4.209075}_{-0.000023}^{+0.000012}$ days interior to two other previously known mini Neptunes (Mann et al. 2020). In addition, we identified a catalog of 56 likely UMa stellar members with kinematics matching the group's known motion and photometric rotation periods, consistent with its young estimated age. We reestablish membership of HD 63433 in the UMa group by showing that its color–magnitude diagram position, rotation period, lithium abundance, and kinematics are all highly consistent with these other sources.

HD 63433 d is the closest planet to our solar system with an Earth-like radius orbiting a young star. Therefore, this is an appealing target for follow-up observations, offering an opportunity to reveal insights into the physics of exoplanet atmospheric mass loss. Between HD 63433 d and the two previously known larger planets, the HD 63433 system is poised to play an important role in our understanding of planetary system evolution in the first billion years after formation.

Acknowledgments

The authors would like to acknowledge helpful discussions with Richard Townsend, Anne Noer Kolborg, and Lisa Kaltenegger. M.S.F. gratefully acknowledges the generous support provided by NASA through Hubble Fellowship grant HST-HF2-51493.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, In., for NASA, under the contract NAS 5-26555. R.Y. is grateful for support from a Doctoral Fellowship from the University of California Institute for Mexico and the United States (UCMEXUS) and CONACyT, a Texas Advanced Computing Center (TACC) Frontera Computational Science Fellowship, and a NASA FINESST award (21-ASTRO21-0068). A.W.M. was supported by grants from the NSF CAREER program (AST-2143763) and NASA's Exoplanets Research Program (XRP 80NSSC21K0393).

A portion of this work was performed at the Aspen Center for Physics, which is supported by National Science Foundation grant PHY-2210452. This paper includes data collected by the TESS mission, which are publicly available from the Mikulski Archive for Space Telescopes (MAST). Funding for the TESS mission is provided by NASA's Science Mission Directorate. This research has made use of the Exoplanet Follow-up Observation Program (ExoFOP; NExScI 2022) 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 work has made use of data from the European Space Agency (ESA) mission Gaia, 44 processed by the Gaia Data Processing and Analysis Consortium (DPAC). 45 This research has made use of the VizieR catalog access tool, the Centre de Données astronomiques de Strasbough (CDS) (DOI : 10.26093/cds/vizier). The original description of the VizieR service was published in Astronomy and Astrophysics Supplement Series (A&AS) 143, 23. We acknowledge the use of public TESS Objects of Interest (TOI) release data from pipelines at the TESS Science Office and the TESS Science Processing Operations Center. 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. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This work makes use of observations from the LCOGT network. Part of the LCOGT telescope time was granted by NOIRLab through the Mid-Scale Innovations Program (MSIP). MSIP is funded by NSF. Funding for the TESS mission is provided by NASA's Science Mission Directorate. K.A.C. and S.N.Q. acknowledge support from the TESS mission via subaward s3449 from MIT. The research shown here acknowledges the use of the Hypatia Catalog Database, an online compilation of stellar abundance data as described in Hinkel et al. (2014), which was supported by NASA's Nexus for Exoplanet System Science (NExSS) research coordination network and the Vanderbilt Initiative in Data-Intensive Astrophysics (VIDA). Z.L.D. would like to acknowledge the support of the MIT Presidential Fellowship and the MIT Collamore-Rogers Fellowship. Z.L.D. would like to acknowledge that this material is based upon work supported by the National Science Foundation Graduate Research Fellowship under grant No. 1745302.

F acilities: TESS - , Gaia DR3 - (Gaia Collaboration et al. 2021), Mikulski Archive for Space Telescopes (Marston et al. 2018), ROSAT, WISE, LCOGT 1 m (Sinistro), LCOGT 1 m (NRES), SMARTS 1.5 m (CHIRON), TRES, SOAR (Goodman), Telescopio Nazionale Galileo (HARPS-N), OHP 1.93 m (ELODIE), OHP 1.93 m (SOPHIE), Shane 3 m (Hamilton).

Software: AstroImageJ (Collins et al. 2017), astroquery (Ginsburg et al. 2019), BANZAI (McCully et al. 2018), batman (Kreidberg 2015), corner.py (Foreman-Mackey 2016), edmcmc (Vanderburg 2021), Lightkurve (Lightkurve Collaboration et al. 1812), matplotlib (Hunter 2007), PARSEC (Bressan et al. 2012), PyAstronomy (Czesla et al. 2019), starrotate (Angus & Garcia Soto 2023), TAPIR (Jensen 2013), TESSCUT (Brasseur et al. 2019).

Footnotes

Please wait… references are loading.
10.3847/1538-3881/ad1039