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A TESS Dress Rehearsal: Planetary Candidates and Variables from K2 Campaign 17

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Published 2018 November 5 © 2018. The American Astronomical Society.
, , Citation Ian J. M. Crossfield et al 2018 ApJS 239 5 DOI 10.3847/1538-4365/aae155

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Abstract

We produce light curves for all ∼34,000 targets observed with K2 in Campaign 17 (C17), identifying $34$ planet candidates, $184$ eclipsing binaries, and $222$ other periodic variables. The forward-facing direction of the C17 field means follow-up can begin immediately now that the campaign has concluded and interesting targets have been identified. The C17 field has a large overlap with C6, so this latest campaign also offers an infrequent opportunity to study a large number of targets already observed in a previous K2 campaign. The timing of the C17 data release, shortly before science operations begin with the Transiting Exoplanet Survey Satellite (TESS), also lets us exercise some of the tools and methods developed for identification and dissemination of planet candidates from TESS. We find excellent agreement between these results and those identified using only K2-based tools. Among our planet candidates are several planet candidates with sizes <4 R and orbiting stars with Kp ≲ 10 (indicating good RV targets of the sort TESS hopes to find) and a Jupiter-sized single-transit event around a star already hosting a 6 day planet candidate.

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1. Introduction

Launched in 2009, the success of Kepler and its extended mission, K2, is unprecedented. In addition to their considerable contributions to other areas of astrophysics, these missions have led to planet candidates and confirmed planets in the thousands (Kepler) and hundreds (K2). Unlike the original Kepler mission, K2 observes along the ecliptic plane, providing 30 minute cadence light curves for several thousand targets in each roughly 80 day campaign (Howell et al. 2014).

The surge of data provided by the mission at the end of each campaign is processed and vetted for potential planet candidates. Due to spacecraft systematics and various sources of astrophysical variability, systems showing interesting signals are vetted by-eye before proceeding with additional confirmation follow-up with ground-based telescopes (Montet et al. 2015; Crossfield et al. 2016; Vanderburg et al. 2016; Mayo et al. 2018; Petigura et al. 2018; Yu et al. 2018).

The recently launched Transiting Exoplanet Survey Satellite (TESS) will observe ∼90% of the sky, approximately 400 times what Kepler observed and 26 times what K2 has observed so far. While experience shows that the vetting of potential planet candidates from K2 campaigns can be completed by a single person or a small team, the number of TESS candidates to be sifted may be far larger. Partly for that reason, TESS employs a larger and better-funded team that has been preparing a set of advanced diagnostics and tools. Because TESS observes in the anti-Sun direction while orbiting the Earth (Ricker et al. 2014), if TESS candidates can be quickly identified after each sector, they can be immediately sent to ground-based observers to confirm the planets and study them in more detail.

The recent delivery of data from K2 Campaigns 16 and 17 (C16 and C17) have provided us with the chance to exercise some of the tools and techniques being developed for rapid planet candidate identification and dissemination from TESS and compare results to previous techniques used for K2. We conducted a rapid analysis of data from C16 using tools and methods developed strictly for K2 (Yu et al. 2018). With C17, we include a more TESS-like analysis using several of the tools and team members that will soon examine real TESS data.

C16 and C17 are also "TESS-like" in at least two other ways. First, these are both "forward-facing" campaigns in which the Earth-trailing K2 observed roughly anti-Sun from the Earth; as will soon be the case for TESS sectors, candidates from K2's forward-facing fields can be immediately observed from the ground if identified with sufficient rapidity. Second, both of these fields partially overlap with previous K2 campaigns: C16 with C5 (observed 2015 April–July) and C17 with C6 (2015 July–September). The rare overlap between C17 and C6 offers an opportunity to study for again a large number of targets previously observed by K2. Campaign 18, currently being observed, will also partly overlap C5 and C16. Similarly, repeated observations of the same targets will occur regularly when TESS begins near-continuous, year-long observations of the ecliptic poles.

Here, we present the techniques and results of our rapid identification of planet candidates and other astrophysical variables observed in C17. Section 2 details the identification process of planet candidates using methods and tools developed for both K2 and for TESS. Stellar and planet candidate parameters are discussed in Section 3. Section 4 discusses the results from the two independent vetting techniques described in Section 2. Similarities and discrepancies between planet candidates identified in C17 and C6 are discussed in Section 5. We remark on several individually interesting systems in Section 6, and finally conclude in Section 7.

2. Identifying Planet Candidates

K2 observed C17 from March 1 until 2018 May 8. At 68 days, the campaign is slightly shorter than most previous K2 campaigns. We followed exactly the methods of Yu et al. (2018) to compute photometry and identify transit-like threshold-crossing events (TCEs). As soon as the raw cadence files were transferred from the spacecraft and uploaded to MAST, we downloaded these data and began our analysis. We converted raw K2 cadence data to target pixel files with kadenza19 (Barentsen & Cardoso 2018), converted pixel files to time-series photometry with k2phot20 , and identified TCEs in light curves using TERRA21 (Petigura 2015; Petigura et al. 2018). We have uploaded light curves for all C17 sources outside the solar system in machine-readable format to the ExoFOP-K2 website.22

We identified $1274$ TCEs with multi-event statistics (effectively a measure of signal-to-noise) ≥10, and pursued two parallel paths to winnow down these $1274$ TCEs to a list of reliable planet candidates. In one, we used a set of new tools being developed for efficient and robust vetting of candidates expected to be delivered soon by TESS; we hereafter refer to this as TESS-like candidate vetting. We also employed a so-called K2-like vetting approach using a set of K2-specific tools and practices that have been refined through the past four years of K2 operations (Crossfield et al. 2015, 2016, 2017; Obermeier et al. 2016; Schlieder et al. 2016; Sinukoff et al. 2016; Ciardi et al. 2018; David et al. 2018; Petigura et al. 2018; Yu et al. 2018). We outline both approaches below, and later compare the results of each in Section 4.1.

2.1. TESS-like Vetting

In this effort we use the TERRA data products with the TESS Exoplanet Vetter (TEV), which is the web interface tool developed as part of the TESS Science Office data pipeline. TEV will be used to identify TESS Objects of Interest (TOIs) in the TCEs found in the TESS pipeline of record run by the Science Payload Operations Center (SPOC) at NASA/Ames and the internal Quick-Look Pipeline (QLP; C. Huang et al. 2018, in preparation) run at MIT. TEV was developed at MIT by the TESS Science Office staff, and will be described in more detail by N. Guerrero et al. (2018, in preparation).

Generally speaking, TEV imports a data delivery into a database and displays various vetting plots and data for the candidate TCEs for the first round of vetting by individuals. The data reduction pipeline that generated the analysis products—in this case TERRA (Petigura et al. 2018), but SPOC or QLP for TESS science operations—provides an analysis summary page for each candidate TCE and a more comprehensive multi-page analysis report. The pipeline also provides a spreadsheet with the EPIC or TIC ID, and basic stellar and transit parameters.

During the individual vetting phase, human vetters inspect the light curve and other metrics in the analysis summary page (and extended report if necessary) to determine whether the candidate is a planet candidate (PC), eclipsing binary (EB), stellar variability (V), other astrophysical source of variability (O), instrument or systematic noise (IS), or undecided (U). For multi-planet systems, the candidates can be compared consecutively. Each individual vetter assigns a disposition to the candidate and has the option to make additional comments about the candidate. To complete the individual vetting stage, a candidate must get at least three unanimous individual dispositions or up to five total dispositions. The K2 C17 delivery had $1274$ TCEs, roughly half that expected from a typical TESS sector. A group of 19 vetters completed the initial vetting stage in less than 24 hours after the delivery was imported into TEV. The final dispositions include $34$ planet candidates, $184$ eclipsing binaries, and $222$ other astrophysical variables, with the rest of the TCEs being instrumental noise or systematics.

TCEs classified unanimously as EB, V, or IS are automatically assigned that value as their final disposition. Targets classified unanimously as PC or with differing dispositions between vetters are flagged for group vetting, the second stage of the vetting process. Once the initial individual vetting concludes, group vetting begins by resolving conflicts for systems classified with at least one planet candidate or undecided disposition. Following this, the group inspects TCEs dispositioned unanimously as planet candidates. Conflicts between EB, V, and IS are resolved last. In this C17 exercise, the group applied and practiced the conventions for assigning candidate dispositions that will be carried over to nominal TESS operations, including how to disposition and annotate contact binaries, candidates in a multi-transit system triggered by an eclipsing binary's secondary eclipses, and candidates with radii $\gt 30\,{R}_{\oplus }$.

The group vetting process took about three hours to disposition 180 TCEs. This duration is not fixed, and is likely to evolve as TESS vetters are trained. Systems identified in the exercise as known planets or eclipsing binaries were still dispositioned as PC, but in nominal TESS operations, TEV will filter candidates using catalogs of known planets, eclipsing binaries, and variable stars. Because our analysis uses raw cadence data, we do not expect to recover all C6 candidates identified in previous surveys that used calibrated data products. Nevertheless, several of the candidates identified as strong candidates for observation were known targets in K2's Campaign 6, which demonstrates that TEV users have the materials and expertise necessary to reliably identify planet candidates.

At the conclusion of group vetting, a TEV administrator closed the K2 C17 delivery to additional changes and TEV generated the final disposition list for download by TEV users. As in nominal TESS operations, the final list of C17 planet candidates was disseminated to the TESS Follow-Up Observing Program (TFOP23 ).

Although we have endeavored to implement the full TESS vetting process, our K2 C17 vetting diagnostic products did not provide the full diagnostic capabilities that will be available from the SPOC and QLP pipelines for TESS vetting. First, no centroid shift information was available to aid in identifying nearby eclipsing binaries from the K2 data alone, on account of K2's extremely high pointing jitter. Second, the K2 vetting diagnostics provided access to a light curve from only one photometric aperture per target. TESS pipelines will provide light curves from several aperture sizes to help to identify blended EB false positives. Third, the TESS analysis will implement ephemeris matching between the 2 minute cadence postage stamps (a restricted set of targets) and the 30 minute cadence full frame images (FFIs) to provide an additional means of identifying TESS aperture contamination by near or distant variable sources; we did not employ ephemeris matching in our C17 vetting. Finally, an extensive catalog of known variables and transit false positives is under development. TESS TCEs will be automatically crossed-referenced to data in the catalog before the human vetting process begins, but since this catalog is not yet complete we did not cross-reference our C17 candidates against it.

2.2. K2-like Vetting

Our K2-like vetting procedure closely followed previous efforts by our group (e.g., Yu et al. 2018). Six participants inspected a subset of TCEs that were assigned in order of TCE number (the EPIC ID appended by the candidate number). This pseudo-random scheme ensured that a given vetter inspected a sample of signals that covered a range of S/N. Each TCE was inspected by at least one person, and by the end of the vetting procedure 986 TCEs were inspected by 2 or more people (with 288 inspected by only one person). This resulted in 2548 individual dispositions for the $1274$ TCEs, across 87 unique potential candidates.

Of these 87 signals, 45 were consistently identified as planet candidates by at least 2 people and 50 were identified as a candidate by at least one person without contest. While this vetting procedure was necessarily subjective, the common characteristics we looked for in the TERRA diagnostic plots in order to assign the disposition of a candidate were consistent depth, no obvious odd/even variations in depth or transit time that might suggest an EB, lack of an obvious secondary eclipse, and lack of significant phase-coherent out-of-transit variability. We did not penalize signals for being V-shaped alone. However, if a TCE was deep, V-shaped, and long in duration yet still lacked an obvious secondary eclipse, it was ultimately considered a planet candidate but flagged as a possible false positive. Finally, one vetter inspected each of the 87 flagged candidates and issued a final disposition.

The number of candidates that survived this final vetting stage was 53. The candidates that were demoted included one that was a duplicate of an accepted candidate, 19 that were deemed to be spurious (i.e., systematic artifacts) or otherwise failing to have a consistent shape and depth well above the photon noise, 2 that showed out-of-transit variability in phase with the signal in question (EPIC 212641218 and 212869892), and 12 that showed clear signs of being an EB, a duplicate of an EB signal (i.e., half or double the period), or having an ephemeris match to an EB. Finally, the candidates from the K2-like vetting were subjected to further cuts, which are described in Section 4.1.

The main difference between the two candidate lists is that the initial K2-like list was somewhat more permissive than the TESS-like list. Nonetheless, experience shows that both lists will likely contain false positives (especially for the largest candidates; Santerne et al. 2016). Close inspection of the light curves of the final list of planet candidates revealed interesting information about a select number of candidates, which we summarize below in Section 6.

3. Stellar and Planetary Candidate Parameters

At the conclusion of the vetting exercises described above, we have two lists of possible planet candidates with only a few physical parameters known. Of these, the most salient are a candidate's orbital period (shown in Figure 1), along with transit depth and apparent stellar brightness (discussed below). Stellar parameters for C17 stars are not available in the Ecliptic Planet Input Catalog (EPIC) as they were in past K2 campaigns (Huber et al. 2016), so the next step is to infer physical parameters such as radii and temperatures.

Figure 1.

Figure 1. Orbital periods of planet candidates identified in our analysis. The dark, narrow-binned histogram (axis at left) shows the threshold-crossing events (TCEs) identified by TERRA with S/N ≥ 10 (see Section 2). The gray, hatched histogram (axis at right) indicates the distribution of $34$ planet candidates.

Standard image High-resolution image

3.1. Ground-based Spectroscopy

Happily, EPIC parameters and ground-based stellar spectroscopy exist for some C17 stars also observed in C6. Dressing et al. (2017a) described medium-resolution infrared spectroscopy of late-type systems using IRTF/SpeX, and Petigura et al. (2018) described high-resolution optical spectroscopy with Keck/HIRES of a broader sample. Numerous spectra have also been acquired with the Tillinghast Reflector Echelle Spectrograph (TRES; Fűrész 2008) and uploaded to the ExoFOP-K2 website; we describe these observations below. Table 1 lists the key stellar parameters reported for 24 targets in C17 from SpeX, HIRES, and TRES. We also include the parameters of two newly identified candidates orbiting bright stars from C17, EPIC 212628254 and 212779563.

Table 1.  Stellar Parameters

    TRES HIRESa SpeXb
EPIC Kp BJDUTCc S/Nd Teff $\mathrm{log}g$ [M/H] v sin ie RVf Teff $\mathrm{log}g$ [Fe/H] $v\sin i$ SpT Teff $\mathrm{log}g$
  (mag) (days)   (K) (dex) (dex) (km s−1) (km s−1) (K) (dex) (dex) (km s−1)   (K) (dex)
212428509 12.5 5697 4.25 −0.42 1.7
212435047 12.4 5750 4.29 0.01 2.0
212460519 12.4 4226g −0.17
212496592 13.0 2457435.973127 25.4 5177 4.57 0.31 2.8 −9.060
212521166 11.6 2457436.932008 27.7 4912 4.57 −0.29 1.7 −21.573 4895 4.64 −0.24 1.9 K2V 4841 4.63
212554013 14.7 K3V 4388 4.64
212572439 12.8 2457442.944484 16.4 5123 4.57 0.45 6.3 13.835 K2V 4972 4.59
212580872 13.0 2457493.742254 30.5 5612 4.45 0.20 3.5 −16.946
212586030 11.7 4865 3.37 0.38 3.5
212587672 12.2 5948 4.49 −0.21 2.1
212619190 12.8 2458273.731631 28.7 5648 4.33 0.04 4.6 29.555
212628254 9.7 2458261.733258 51.6 5833 4.40 −0.01 3.0 −28.074 5827h 4.31h 0.04h
212628477i 12.5 2458274.706803 27.5
212634172 14.8 M3V 3412 4.86
212651213i 10.8 2457439.912117 52.2
" " 2457448.969440 41.0
" " 2457449.945082 38.5
" " 2457450.917452 37.7
" " 2457451.909447 37.3
" " 2457452.902042 25.8
" " 2457454.892102 36.6
" " 2457470.863085 37.6
212651234g 11.1 2457439.929578 49.3 4902 3.50 0.23 2.6 −15.508
" " 2457448.983742 27.1 4853 3.34 0.24 2.9 −15.376
" " 2457452.911059 15.1 4901 3.46 0.39 4.9 −15.350
" " 2457466.925434 32.5 5078 3.94 0.35 2.0 −15.399
" " 2457504.855779 23.4 4807 3.22 0.26 3.9 −15.421
" " 2457511.879130 20.4 4861 3.42 0.30 3.9 −15.631
212686205 12.3 2457435.907480 28.2 4635 4.70 −0.23 2.3 −12.053 K4V 4470 4.51
212689874 12.3 2457434.882603 29.2 5714 4.55 −0.09 3.0 −14.721 5644 4.36 −0.12 1.7
212697709 12.2 2457439.975173 40.1 5785 4.45 0.31 3.1 −21.995 5719 4.28 0.28 1.6
" " 2457439.997975 39.6 5733 4.38 0.31 3.6 −22.019
" " 2457475.857401 34.1 5796 4.46 0.32 3.4 −21.918
212705192i 11.7 2457439.893014 53.7
212735333 12.0 2457439.870513 44.5 5671 4.57 −0.01 2.3 −6.591 5660 4.50 0.09 1.3
212768333 11.0 2457439.037432 54.1 5247 4.61 −0.16 5.2 2.071
212779596 11.9 2457437.046415 25.6 4652 4.63 −0.21 2.1 0.092 4507g −0.04 K5V 4731 4.62
212782836 11.6 5418 4.48 −0.42 1.1
212779563 9.8 2458261.725801 45.3 4640 4.68 −0.47 0.8 −46.629 4568g,h
212803289 11.0 2457437.035094 42.0 6048 3.79 0.11 11.1 −2.778 6102 3.96 0.20 10.0
" " 2457447.858765 37.7 5906 3.58 0.03 11.5 −2.559
" " 2457475.842684 29.0 6105 3.87 0.30 12.0 −2.554
251539584i 10.8 2458274.726575 29.1
" " 2458276.738180 31.3
251539609i 11.0 2458275.698478 35.3
" " 2458276.730773 30.1
251554286 12.1 2458275.686467 30.5 5548 4.44 −0.10 1.0 4.560

Notes.

aHIRES data and analysis described by Petigura et al. (2018). bSpeX data and analysis described by Dressing et al. (2017a). cDate of TRES observation. dSignal-to-noise ratio per resolution element in the wavelength range 5060–5315 Å. eSPC measures the broadening from an edge-on rotator with a fixed macroturbulent velocity of $1\,\mathrm{km}\,{{\rm{s}}}^{-1}$. Different values of macroturbulence may bias this value for slow rotators. As such, we caution against interpreting this value as $v\sin i$ without further analysis. fThe RVs reported here have been shifted onto the IAU scale using standard star velocities, on which, e.g., HD 182488, has an absolute RV of −21.508 (Nidever et al. 2002). The uncertainties of the reconnaissance RVs on the TRES native system are typically on the order of 50 ${\rm{m}}\,{{\rm{s}}}^{-1}$ (also affected by Teff, S/N and $v\sin i$), though the offset to the absolute scale carries similar uncertainty. gStar too cool for SpecMatch analysis (see Petigura et al. 2018). hStar observed with APF instead of HIRES, but stellar parameters inferred using the same approach as described in Petigura et al. (2018). iMulti-lined spectrum.

Download table as:  ASCIITypeset images: 1 2

TRES is located on the 1.5 m Tillinghast Reflector at Fred Lawrence Whipple Observatory on Mount Hopkins. TRES is a fiber-fed cross-dispersed echelle spectrograph with a resolving power of $R\,\approx $ 44,000 and an instrumental velocity precision of 10–15 ${\rm{m}}\,{{\rm{s}}}^{-1}$, well-suited to stellar classification and identification of binaries via radial velocity variations and/or composite spectra. We use the Stellar Parameter Classification (SPC) package (see Buchhave et al. 2012) to determine the effective temperature, surface gravity, metallicity, and rotational broadening of each spectrum, and we report those values in Table 1. We also report the radial velocities derived from the cross-correlation of a single spectral order against the best-matched synthetic spectrum, shifted to the absolute IAU scale. The TRES spectra—along with plots of stellar classifications resulting from cross-correlation against a coarse grid of synthetic spectra and spectral regions of interest—are available on ExoFOP-K2.24

3.2. Multicolor Photometry and Gaia DR2

Despite the spectroscopic data from SpeX, HIRES, and TRES, we desire a complete and homogeneous set of stellar parameters against which to compare our C17 candidate sample. To this end, we set aside spectroscopic parameters and instead use EPIC multicolor (BV ugrizJHK) photometry, parallaxes from Gaia DR2 (Gaia Collaboration et al. 2016, 2018), and isochrones25 (Morton 2015) to derive stellar parameters using the MIST isochrones (Choi et al. 2016; Dotter 2016).

For C6 targets we use the GaiaK2 cross-match from https://gaia-kepler.fun. For targets not in C6 we run our own cross-match between the EPIC locations and Gaia DR2 using an initial search radius of 5'', selecting the Gaia source that most closely matches the position and magnitude of the K2 target. There were no ambiguous cases. All stars with $| {Kp}-G| \gt 0.5$ turned out to be stars where Kp was estimated from 2MASS colors alone. For all planet candidates, we are pleased to find that the distances inferred from isochrones are consistent with those from Gaia (at the 3σ level). The inferred stellar parameters for our candidates are listed in Table 2 and are online at ExoFOP-K2, and a color–magnitude diagram of our final candidate sample is shown in Figure 2. Our derived stellar radii agree with those from Gaia DR2 with a scatter of 5%–10%, suggesting that both sets of radii are consistent at that level.

Figure 2.

Figure 2. Color–magnitude diagram for our C17 planet candidates (squares) and for all K2 targets (gray background).

Standard image High-resolution image

After inferring stellar parameters for our sample, we then run a final round of light-curve fitting. We follow the same approach used in Crossfield et al. (2016): placing a prior on the quadratic limb-darkening parameters inferred from the assumed stellar parameters using LDTk (Parviainen & Aigrain 2015), then fitting the light curves using BATMAN (Kreidberg 2015).

4. Results and Discussion

4.1. Purifying the Sample

Some of the TCEs that we identified as planet candidates subsequently turned out to be non-planetary. Eleven candidates were identified as planet candidates during TESS-like group vetting, but were subsequently eliminated because the implied candidate radii would be >30 R. These stars are EPIC 212579164, 212580081, 212627712, 212628098, 212770429, 212651213, 212757601, 212769367, 212769682, 212871068, and 212884586.

For the last of these, 212884586, Gaia DR2 shows two stars near the source's location with G = 19.8 and 19.6 mag, both located at distances >400 pc and both within the K2 aperture. Either could be the transit host and the transit would be diluted by the light of the other, in which case our inferred radius of ${20}_{-13}^{+21}{R}_{\oplus }$ would reach ∼30 R. We therefore exclude this system from our planet candidate list.

We list EPIC 212658818 as an EB because its transit depth varies throughout the campaign, both in C17 and in C6. This variation is likely due to the putative transits occurring around a star 12'' to the south that is partly in the K2 aperture. Ground-based follow-up photometry26 indicates that this star, fainter by 4.1 mag, is the true host of the eclipses (which have a depth of 42%).

We originally identified an EB and a planet candidate around EPIC 212651213 and 251810686, but then discovered that both EPIC stars target the same system (with an offset in the K2 data "postage stamp" for EPIC 251810686). We also acquired a light curve27 confirming an event depth of 9% at our measured ephemeris. However, we remove both systems from our candidate list because this is a known quintuple system with two eclipsing binaries (Rappaport et al. 2016).

We note that several remaining candidates have radii formally below our 30 R limit, but are still grazing transits and thus have large radius uncertainties (e.g., 212628477 and 212686312). As currently formulated, the TESS vetting process would report these as candidates, so we retain them in our C17 sample with a note in Table 2.

Table 2.  Planet Candidates from C17

  Kp P T0 T14 Rp/R* R* Teff RP Sinc Notes
Candidate (mag) (day) BJDTDB–2454833 (hr) (%) (R) (K) (R ) (S)  
212496592.01 12.966 ${2.85883}_{-0.00038}^{+0.00039}$ ${3347.0222}_{-0.0053}^{+0.0047}$ ${2.17}_{-0.29}^{+0.40}$ ${1.89}_{-0.20}^{+0.23}$ 0.86 5284 ${1.77}_{-0.19}^{+0.22}$ 352 K2-191b (Mayo et al. 2018)
212521166.01 11.590 ${13.8642}_{-0.0011}^{+0.0011}$ ${3357.3269}_{-0.0027}^{+0.0028}$ ${3.26}_{-0.18}^{+0.24}$ ${3.35}_{-0.21}^{+0.25}$ 0.72 4915 ${2.62}_{-0.16}^{+0.20}$ 25.5 K2-110b (Osborn et al. 2017)
212554013.01 14.733 ${3.588223}_{-0.000045}^{+0.000046}$ ${3348.97026}_{-0.00047}^{+0.00046}$ ${2.137}_{-0.073}^{+0.086}$ ${11.61}_{-0.70}^{+0.47}$ 0.95 5324 ${12.01}_{-0.77}^{+0.65}$ 336 K2-127b (Dressing et al. 2017b)
212570977.01 13.928 ${8.853181}_{-0.000051}^{+0.000052}$ ${3347.02423}_{-0.00022}^{+0.00021}$ ${4.192}_{-0.027}^{+0.029}$ ${15.33}_{-0.15}^{+0.22}$ 1.14 5774 ${19.04}_{-0.62}^{+0.63}$ 183
212572439.01 12.835 ${2.581446}_{-0.000038}^{+0.000038}$ ${3347.75306}_{-0.00054}^{+0.00055}$ ${1.81}_{-0.12}^{+0.23}$ ${6.17}_{-0.65}^{+0.67}$ 0.85 5124 ${5.72}_{-0.60}^{+0.63}$ 344 Blend with 212572452
212572452.01 14.769 ${2.581446}_{-0.000020}^{+0.000019}$ ${3347.75323}_{-0.00028}^{+0.00030}$ ${1.761}_{-0.039}^{+0.036}$ ${7.19}_{-0.50}^{+0.61}$ 0.67 4535 ${5.23}_{-0.38}^{+0.46}$ 160 Blend with 212572439
212575828.01 15.508 ${2.06033}_{-0.00018}^{+0.00018}$ ${3347.0331}_{-0.0033}^{+0.0033}$ ${1.55}_{-0.14}^{+0.27}$ ${3.71}_{-0.37}^{+0.38}$ 0.76 4949 ${3.07}_{-0.32}^{+0.33}$ 364
212580872.01 13.047 ${14.7881}_{-0.0012}^{+0.0013}$ ${3352.4604}_{-0.0029}^{+0.0029}$ ${4.34}_{-0.20}^{+0.74}$ ${3.70}_{-0.54}^{+0.24}$ 0.98 5586 ${3.93}_{-0.57}^{+0.26}$ 60.8 K2-193b (Mayo et al. 2018)
212619190.01 12.788 ${0.911861}_{-0.000036}^{+0.000032}$ ${3347.2783}_{-0.0013}^{+0.0015}$ ${0.772}_{-0.069}^{+0.121}$ ${2.33}_{-0.20}^{+0.23}$ 1.23 5765 ${3.14}_{-0.29}^{+0.33}$ 4494 HD 119130
212628254.01 9.782 ${16.9813}_{-0.0022}^{+0.0022}$ ${3347.2910}_{-0.0046}^{+0.0044}$ ${3.69}_{-0.31}^{+0.59}$ ${2.32}_{-0.24}^{+0.24}$ 1.08 5998 ${2.74}_{-0.29}^{+0.29}$ 77.9
212628477.01 12.533 ${15.42404}_{-0.00097}^{+0.00081}$ ${3347.7248}_{-0.0019}^{+0.0020}$ ${1.54}_{-0.23}^{+0.26}$ ${13.8}_{-1.4}^{+10.2}$ 1.39 5823 ${21.0}_{-2.2}^{+15.4}$ 132 Grazing transit
212634172.01 14.831 ${2.851770}_{-0.000092}^{+0.000083}$ ${3348.4657}_{-0.0011}^{+0.0013}$ ${0.721}_{-0.062}^{+0.140}$ ${7.27}_{-0.64}^{+0.98}$ 0.38 3585 ${2.99}_{-0.30}^{+0.42}$ 25.4
212661144.01 13.595 ${2.45875}_{-0.00019}^{+0.00022}$ ${3347.2747}_{-0.0031}^{+0.0028}$ ${1.10}_{-0.18}^{+0.29}$ ${3.10}_{-0.41}^{+0.41}$ 0.98 5647 ${3.30}_{-0.44}^{+0.45}$ 698
212682254.01 13.565 ${10.70070}_{-0.00090}^{+0.00088}$ ${3353.1746}_{-0.0028}^{+0.0027}$ ${3.23}_{-0.34}^{+0.31}$ ${4.74}_{-0.93}^{+2.05}$ 1.12 5936 ${5.8}_{-1.8}^{+3.2}$ 148
212686205.01 12.256 ${5.67623}_{-0.00056}^{+0.00042}$ ${3347.6471}_{-0.0031}^{+0.0044}$ ${1.45}_{-0.12}^{+0.21}$ ${2.05}_{-0.18}^{+0.20}$ 0.67 4566 ${1.49}_{-0.13}^{+0.15}$ 57.1 K2-128b (Dressing et al. 2017b)
212686312.01 15.192 ${0.7476280}_{-0.0000027}^{+0.0000027}$ ${3346.76330}_{-0.00014}^{+0.00015}$ ${1.434}_{-0.067}^{+0.079}$ ${45.4}_{-8.1}^{+10.8}$ 0.53 3904 ${26.0}_{-5.1}^{+6.8}$ 335 Grazing transit
212689874.01 12.330 ${15.8537}_{-0.0013}^{+0.0013}$ ${3359.2217}_{-0.0023}^{+0.0024}$ ${4.52}_{-0.15}^{+0.21}$ ${3.11}_{-0.12}^{+0.21}$ 0.98 5842 ${3.32}_{-0.14}^{+0.23}$ 65.7 K2-195b (Mayo et al. 2018)
212689874.02 12.330 ${28.4545}_{-0.0034}^{+0.0034}$ ${3349.1480}_{-0.0041}^{+0.0044}$ ${6.08}_{-0.40}^{+0.54}$ ${2.67}_{-0.21}^{+0.37}$ 0.98 5842 ${2.85}_{-0.23}^{+0.39}$ 30.1 K2-195c (Mayo et al. 2018)
212697709.01 12.193 ${3.951632}_{-0.000030}^{+0.000030}$ ${3349.48035}_{-0.00029}^{+0.00029}$ ${1.82}_{-0.10}^{+0.12}$ ${7.40}_{-0.57}^{+1.01}$ 1.09 5860 ${8.77}_{-0.71}^{+1.18}$ 494 WASP-157, K2-41 (Močnik et al. 2016)
212707574.01 13.861 ${1.12665}_{-0.00014}^{+0.00018}$ ${3346.9600}_{-0.0067}^{+0.0047}$ ${2.36}_{-0.28}^{+0.46}$ ${2.38}_{-0.25}^{+0.22}$ 1.63 5967 ${4.24}_{-0.47}^{+0.48}$ 5618
212735333.01 11.977 ${8.35812}_{-0.00043}^{+0.00039}$ ${3354.6901}_{-0.0018}^{+0.0019}$ ${3.30}_{-0.13}^{+0.16}$ ${2.63}_{-0.11}^{+0.13}$ 0.93 5642 ${2.66}_{-0.12}^{+0.14}$ 121.8 K2-197b (Mayo et al. 2018)
212748535.01 13.582 ${5.47826}_{-0.00033}^{+0.00034}$ ${3349.3152}_{-0.0020}^{+0.0021}$ ${1.53}_{-0.15}^{+0.21}$ ${3.51}_{-0.29}^{+0.33}$ 0.60 3971 ${2.30}_{-0.20}^{+0.23}$ 30.2
212768333.01 16.825 ${17.04518}_{-0.00095}^{+0.00098}$ ${3360.0516}_{-0.0018}^{+0.0018}$ ${3.65}_{-0.75}^{+0.25}$ ${4.24}_{-0.84}^{+0.64}$ 0.77 5232 ${3.56}_{-0.70}^{+0.54}$ 27.2 K2-198b (Mayo et al. 2018)
212768333.02 16.825 ${7.44957}_{-0.00068}^{+0.00067}$ ${3349.0808}_{-0.0034}^{+0.0034}$ ${2.86}_{-0.22}^{+0.56}$ ${2.80}_{-0.30}^{+0.29}$ 0.77 5232 ${2.34}_{-0.25}^{+0.24}$ 81.9 Candidate from Pope et al. (2016)
212771557.01 13.950 ${8.4902}_{-0.0014}^{+0.0014}$ ${3349.4717}_{-0.0048}^{+0.0047}$ ${2.55}_{-0.21}^{+0.32}$ ${2.56}_{-0.23}^{+0.26}$ 0.86 5530 ${2.39}_{-0.22}^{+0.25}$ 99
212779563.01 9.945 ${6.00123}_{-0.00018}^{+0.00012}$ ${3352.36041}_{-0.00079}^{+0.00101}$ ${1.272}_{-0.031}^{+0.102}$ ${2.73}_{-0.12}^{+0.11}$ 0.69 4688 ${2.064}_{-0.097}^{+0.088}$ 62.5 Wolf 503 (Peterson et al. 2018)
212779596.01 11.930 ${7.37416}_{-0.00023}^{+0.00023}$ ${3348.6147}_{-0.0011}^{+0.0011}$ ${2.361}_{-0.091}^{+0.128}$ ${4.02}_{-0.19}^{+0.25}$ 0.67 4772 ${2.93}_{-0.14}^{+0.18}$ 48.2 K2-199b (Mayo et al. 2018)
212779596.02 11.930 ${3.22575}_{-0.00014}^{+0.00014}$ ${3346.9032}_{-0.0017}^{+0.0017}$ ${1.872}_{-0.090}^{+0.151}$ ${2.58}_{-0.14}^{+0.16}$ 0.67 4772 ${1.88}_{-0.10}^{+0.12}$ 145 K2-199c (Mayo et al. 2018)
212803289.01 11.014 ${18.24605}_{-0.00090}^{+0.00083}$ ${3349.7141}_{-0.0016}^{+0.0016}$ ${10.905}_{-0.076}^{+0.085}$ ${3.738}_{-0.047}^{+0.075}$ 2.59 6560 ${10.57}_{-0.35}^{+0.38}$ 422 K2-99b (Smith et al. 2017)
212813907.01 14.070 ${6.72526}_{-0.00033}^{+0.00031}$ ${3350.5430}_{-0.0016}^{+0.0016}$ ${0.82}_{-0.13}^{+0.17}$ ${5.56}_{-0.59}^{+1.27}$ 0.79 5007 ${4.79}_{-0.52}^{+1.10}$ 82.1
212870185.01 13.149 ${6.11665}_{-0.00044}^{+0.00044}$ ${3347.9964}_{-0.0026}^{+0.0027}$ ${2.54}_{-0.18}^{+0.28}$ ${3.04}_{-0.25}^{+0.28}$ 1.12 5587 ${3.73}_{-0.32}^{+0.36}$ 258
251554286.01 12.091 ${15.46659}_{-0.00064}^{+0.00066}$ ${3356.8506}_{-0.0012}^{+0.0011}$ ${3.55}_{-0.42}^{+0.37}$ ${4.44}_{-0.80}^{+0.50}$ 0.98 5657 ${4.73}_{-0.85}^{+0.56}$ 60.0
251582120.01 15.175 ${0.509967}_{-0.000051}^{+0.000055}$ ${3346.9256}_{-0.0043}^{+0.0029}$ ${3.25}_{-0.59}^{+0.56}$ ${4.72}_{-0.44}^{+0.81}$ 1.25 5997 ${6.49}_{-0.78}^{+1.18}$ 10946
251590700.01 13.302 ${5.82105}_{-0.00100}^{+0.00097}$ ${3347.5528}_{-0.0058}^{+0.0058}$ ${6.1}_{-6.1}^{+3.3}$ ${6.40}_{-0.50}^{+0.78}$ 0.86 5247 ${6.1}_{-3.8}^{+3.9}$ 138 Low ${\rho }_{* ,\mathrm{circ}}$.

A machine-readable version of the table is available.

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4.2. Planet Candidates, EBs, and Variables

Our TESS-like vetting identified $34$ planet candidates, all of which were marked as candidates in K2-like vetting. Our standard K2 vetting process identified 53 planet candidates, but several of these were not marked as candidates in TESS-like vetting for the following reasons:

  • 1.  
    251504891.01: marked as variable because of coherent out-of-transit variation.
  • 2.  
    212473154.01: marked as EB because the candidate radius RC = 65 R.
  • 3.  
    212789681.01: marked as EB because the transit duration T14 = 0.12 day is a large fraction of P = 0.49 day.
  • 4.  
    212421319.01: marked as EB because the odd and even transits have different depths.
  • 5.  
    212499716.01: marked as EB because of a faint secondary eclipse, seen more clearly in C6 photometry.
  • 6.  
    212579164.01: marked as EB because RC = 46 R.
  • 7.  
    212580081.01: marked as EB because RC = 35 R.
  • 8.  
    212627712.01: marked as IS because the K2 photometric aperture mostly captures light from a nearby, brighter star.
  • 9.  
    229228115.01: marked as EB because T14 = 0.13 day is a large fraction of P = 0.55 day.
  • 10.  
    212705192.01: marked as EB because of odd–even effect, and because Keck/HIRES and TRES spectra show the star to be double-lined.
  • 11.  
    212740148.01: marked as EB because of a faint secondary eclipse. Also, the K2 photometric aperture mostly captures light from a nearby, brighter star.
  • 12.  
    212770429.01: marked as IS because the K2 photometric aperture mostly captures light from a nearby, brighter star.

Table 2 lists the basic parameters for our final list of $34$ planet candidates from K2's C17. The properties of this population are also summarized in Figure 1 (orbital periods), Figure 3 (phase-folded candidate light curves), Figure 4 (Kp and transit depth), and Figure 5 (candidate radius and insolation).

Figure 3.

Figure 3. Phase-folded light curves of our $34$ planet candidates, and their best-fit transit models. To show all transits, the vertical scale is different in each panel; system parameters are listed in Table 2.

Standard image High-resolution image
Figure 4.

Figure 4. Transit depth and stellar magnitude for our planet candidates, as a function of stellar Teff (color scale). The two brightest targets are Wolf 503 (EPIC 212779563) and HD 119130 (EPIC 212628254).

Standard image High-resolution image
Figure 5.

Figure 5. Candidate radius and incident insolation for our planet candidates, as a function of stellar Teff (color scale).

Standard image High-resolution image

Though many K2 planet catalogs have been compared with each other, few have been compared to the CoRoT end-of-mission planet catalog of Deleuil et al. (2018). Figure 1 shows that our C17 candidates have somewhat longer periods than those found by CoRoT (2–16 day versus 1–4 day). K2 is also sensitive to somewhat smaller planets than CoRoT, as evidenced from the difference between the typical candidate transit depths (0.1% for K2 C17 versus 0.5% for CoRoT; see Figure 4). There are many differences between the two facilities and their data processing strategies, but the difference in sensitivity of the two missions can be largely attributed to the larger aperture of Kepler/K2 (giving access to shallower transits) and to observing strategy (CoRoT's occasional >80 day campaigns being unable to compensate for its smaller aperture). Simulations of the expected TESS yield (Sullivan et al. 2015) similarly show a shallower median transit depth (0.2%), but a longer typical period (2–20 day) due to its year-long coverage of the ecliptic poles.

We also include a list of all likely EBs and other apparently astrophysical variables identified from our TESS-like analysis. A total of $184$ EBs are listed in Table 3, and $222$ variables are listed in Table 4. These tables also include the final comments (if any) assigned to each TCE during the group vetting process. Note also that the numbers above likely somewhat overestimate the objects in each category, since EBs with secondary eclipses and variables with multiple harmonics are both often identified as multiple TCEs in the same system.

Table 3.  Eclipsing Binaries

  Kp Epoch P T14 ${({R}_{P}/{R}_{* })}^{2}$  
EPIC (mag) (BJDTDB) (day) (day)   Comments
212628098 13.259 2458180.89299 4.352574 0.067307 0.042013
212651213 10.796 2458180.35821 2.538338 0.144896 0.044374 V-shaped, large radius
212658818 12.070 2458180.48591 2.321117 0.066364 0.000868 blend because transit depth not consistent (not on target)
212757601 16.825 2458179.98367 1.017967 0.057751 0.012362 Jovian planet around small star? 7.7 ${R}_{\oplus }$
212769367 17.911 2458199.34193 20.225392 0.258937 0.021858
212769682 18.382 2458199.34810 20.230002 0.276014 0.041586 GAIA parallax <1 mas
212871068 18.318 2458182.72856 8.744013 0.183117 0.140517  
212884586 17.700 2458180.15931 2.882978 0.049651 0.011687
251810686 10.865 2458180.36230 2.537920 0.164611 0.059434 bad aperture; Rappaport et al. (2016)
212581374 10.292 2458180.14795 0.784498 0.157174 0.003875
212406350 13.923 2458179.72331 0.833679 0.083508 0.096367
212409856 13.446 2458179.83675 0.531704 0.078146 0.159770
212417656 12.745 2458179.74444 0.815627 0.136918 0.023504
212420474 13.442 2458179.83016 0.600579 0.066488 0.044711
212420510 14.632 2458179.82589 0.600656 0.077941 0.145720 contact
212421319 16.407 2458182.18746 5.528665 0.239914 0.014466 odd–even, wrong period
212421673 13.172 2458187.99492 28.248155 0.446599 0.003888
212426112 13.150 2458179.89122 1.530195 0.072284 0.035180
212428509 12.483 2458180.30248 2.667940 0.080248 0.007745 odd–even effect
212435964 14.080 2458193.11111 25.184817 0.201155 0.234665
212439709 14.352 2458180.15803 1.218136 0.066728 0.056980 contact, same as 1
212442107 15.821 2458180.02735 0.546059 0.074620 0.273964
212442408 11.778 2458180.41810 0.909676 0.123028 0.255280
212453473 13.957 2458181.97486 2.756129 0.150371 0.323040
212454161 15.225 2458180.76138 22.334245 0.610513 0.022610
212455982 14.140 2458180.67276 1.620017 0.242113 0.107147
212456583 13.429 2458182.17512 2.877393 0.164731 0.161885
212460623 9.086 2458179.98967 0.492488 0.086255 0.000156
212465919 15.159 2458180.05317 0.569619 0.081742 0.230555 contacting
212468149 14.814 2458179.86667 0.688366 0.059358 0.114282
212473154 8.980 2458181.23537 1.816975 0.083992 0.002040
212481328 13.090 2458179.55397 3.417361 0.105410 0.048337
212488008 10.633 2458189.49044 11.334688 0.070855 0.001533
212491978 14.025 2458179.95415 0.535811 0.062105 0.071267 contact, same as 1
212497267 12.282 2458182.01007 3.744355 0.180382 0.285638
212499716 13.748 2458180.06238 0.874745 0.035389 0.001790
212502064 9.671 2458179.70262 0.560679 0.088106 0.049133 contact
212504385 13.842 2458179.91896 0.826894 0.122608 0.249751
212509737 11.997 2458179.59591 2.343356 0.059597 0.008323
212511920 13.209 2458179.99753 0.572508 0.076707 0.097044 contact
212512022 16.643 2458179.89864 0.514313 0.124243 0.002423 contact
212518838 15.643 2458179.80762 0.651904 0.081742 0.198824 contact
212523277 17.547 2458179.75820 13.538932 0.114329 0.087378
212527975 13.708 2458179.68204 0.517780 0.081742 0.157632 contact
212530520 15.411 2458180.29465 0.808487 0.093941 0.118684 contact
212535959 13.803 2458190.36673 17.733194 0.292331 0.111249
212537106 12.982 2458181.36656 9.263450 0.273879 0.163254
212540174 14.869 2458179.57468 0.527054 0.040555 0.056895 contact
212540985 13.574 2458179.85092 0.548227 0.078714 0.035505
212541386 14.231 2458181.74987 3.630331 0.091115 0.074444
212545451 15.672 2458179.79113 1.133767 0.154570 0.450641
212545602 16.209 2458180.61219 1.756713 0.220238 0.670509
212546446 14.369 2458179.68614 0.655294 0.081742 0.133002 contact
212553193 15.314 2458179.68060 0.570422 0.079264 0.233006
212559866 11.864 2458184.00383 19.702223 0.383548 0.248986
212560752 12.839 2458179.91313 0.582783 0.081742 0.097117
212566769 13.331 2458189.13230 14.301229 0.323096 0.039127
212567829 18.076 2458180.10226 0.841796 0.119074 0.284914
212570257 12.523 2458179.69542 0.610230 0.055085 0.070548 secondary of contacting
212577519 14.234 2458180.54062 0.980712 0.077982 0.115798 contact
212579164 13.632 2458182.64844 18.155715 0.137503 0.230781 46 ${R}_{\oplus }$
212580081 18.233 2458180.41422 1.491851 0.088955 0.692969 35 ${R}_{\oplus }$
212580230 12.838 2458179.96998 0.563909 0.081742 0.367660 Contact
212586717 13.875 2458181.71797 4.295939 0.087219 0.012705
212601505 14.486 2458179.96618 0.724453 0.035719 0.020973
212609851 15.164 2458179.82750 0.642765 0.057191 0.223025
212611243 14.163 2458179.94634 0.726623 0.077036 0.097420
212612033 18.300 2458179.98494 1.049595 0.091376 0.022397
212613128 13.861 2458180.19045 0.759210 0.070657 0.213789
212615099 15.660 2458192.20124 16.397313 0.105083 0.122559
212617879 12.316 2458179.84646 2.210766 0.153759 0.142075
212627712 13.265 2458186.21980 19.913432 0.145782 0.165860 107 ${R}_{\oplus }$
212629807 15.143 2458179.90970 0.501935 0.081742 0.206343 contact
212631911 15.546 2458179.98736 0.520852 0.078445 0.333555
212634594 15.202 2458184.28069 6.401944 0.145015 0.212873
212641218 14.993 2458179.98311 1.049606 0.076901 0.001691
212644753 9.422 2458179.97694 1.049846 0.097062 0.041131
212651213 10.796 2458191.53766 13.196894 0.199239 0.010896 Rappaport et al. (2016)
212651234 11.139 2458180.35324 2.538731 0.123252 0.008702 Rappaport et al. (2016); 30.5 ${R}_{\oplus }$
212652663 14.819 2458180.77106 1.669747 0.102005 0.228074
212654750 13.917 2458179.88743 0.529294 0.081742 0.413695 contact
212657659 17.470 2458180.01607 0.546679 0.055120 0.014074 contact
212666524 14.293 2458179.90638 0.670516 0.081742 0.121268
212666639 15.366 2458179.54065 0.541019 0.079310 0.301795 contact
212667298 12.902 2458179.54657 0.606965 0.081742 0.435121 contact
212671857 13.697 2458180.24217 0.727391 0.068894 0.139981
212679798 14.846 2458180.12895 1.834750 0.073377 0.033351
212686943 13.774 2458181.02088 1.578709 0.165925 0.064449
212687040 13.475 2458180.27371 1.852983 0.106111 0.205153
212689699 17.593 2458180.07219 0.518523 0.130845 0.013282 contact
212690087 14.746 2458180.09903 0.786832 0.114912 0.042193
212691727 12.657 2458184.17922 12.862016 0.201678 0.050839
212695400 15.403 2458180.22806 0.848459 0.065686 0.215148
212697951 12.582 2458180.27911 1.912398 0.114449 0.259949 star spot causes modulation
212701118 12.691 2458179.72465 2.434027 0.144225 0.661748
212702889 14.558 2458179.93264 0.631071 0.056983 0.052287
212705192 11.728 2458181.41157 2.268360 0.048411 0.005948 odd–even effect, double-lined
212705508 14.415 2458180.05063 0.603816 0.044304 0.003131
212707624 13.179 2458182.00981 3.604588 0.207304 0.106715
212708296 15.906 2458180.26857 0.803247 0.100811 0.466097
212708783 10.386 2458179.95230 2.253755 0.142294 0.118586
212710571 17.458 2458179.95368 2.253558 0.104992 0.012538
212712870 15.304 2458179.96661 0.494226 0.069594 0.249001
212716448 18.478 2458180.01069 0.546752 0.058736 0.062706 same as 1
212723069 14.817 2458186.05758 11.495130 0.232389 0.037574
212723581 15.961 2458180.00972 0.600845 0.066764 0.124436 same signal as 1
212733831 14.786 2458179.70777 0.732994 0.081742 0.117807
212734205 17.588 2458181.12287 4.965604 0.493681 0.397380
212737890 15.875 2458179.84702 0.880552 0.105444 0.127097
212740148 13.996 2458180.15919 0.741042 0.030996 0.011375
212741343 15.933 2458180.05956 0.580501 0.054682 0.100483 contact
212746282 12.518 2458179.85030 0.595119 0.081742 0.093743 contact
212747879 15.717 2458179.97540 0.705760 0.081742 0.331363
212748031 15.678 2458180.36357 0.887395 0.037098 0.005056
212751079 13.700 2458179.62410 0.595131 0.142401 0.264229
212751916 13.890 2458180.64439 15.715606 0.097758 0.004367
212759326 13.892 2458182.52706 3.376283 0.117698 0.076310
212770429 11.153 2458199.35119 20.225506 0.342386 0.210533 75 ${R}_{\oplus }$
212771092 17.554 2458180.04000 0.613816 0.081742 0.513770
212771522 14.105 2458180.36577 0.964855 0.036899 0.002141
212773272 14.965 2458182.45629 4.681890 0.080497 0.043560
212773309 11.391 2458182.45642 4.681764 0.093543 0.074791
212781530 15.601 2458180.03084 0.574416 0.081742 0.518721 contact
212781903 13.952 2458179.93093 0.516312 0.081742 0.057071
212786474 14.472 2458179.57656 9.271273 0.151254 0.429256
212789681 13.740 2458179.55289 0.497467 0.116872 0.000516 contact
212796590 16.506 2458179.97098 0.555792 0.144363 0.009497 contact
212801119 12.771 2458180.11071 0.591442 0.045596 0.019034
212801667 11.911 2458186.41163 23.274142 0.214440 0.075892
212805198 14.422 2458180.96489 3.228788 0.086784 0.079089
212812349 13.712 2458185.62953 8.167374 0.174965 0.069996
212814517 15.896 2458179.76158 0.624914 0.079529 0.314121
212822491 11.078 2458186.08017 14.321271 0.265478 0.171877
212824416 16.638 2458179.85284 0.590807 0.057018 0.134113 contact EB; secondary
212826509 16.297 2458180.41915 0.988762 0.113296 0.311666
212827749 13.358 2458185.76643 11.345548 0.187133 0.207902
212828964 16.170 2458179.90943 0.646399 0.142256 0.001916 contact
212834326 15.554 2458180.10438 0.780977 0.079370 0.242254
212837770 16.663 2458180.22595 0.850575 0.064098 0.263615
212839815 12.874 2458180.59961 4.441165 0.198630 0.037661
212842049 16.894 2458181.48623 3.289052 0.066265 0.062749
212842366 12.081 2458179.58419 0.543994 0.059710 0.018823
212854191 12.566 2458180.39309 0.868807 0.099834 0.046954 contact
212864075 11.826 2458180.11467 0.729410 0.071462 0.015258
212866286 12.702 2458180.51003 4.717350 0.245227 0.178060
212869892 12.392 2458179.99254 0.814852 0.057258 0.008050
212872008 14.464 2458180.76477 1.311925 0.107024 0.102602
212872519 18.895 2458180.02866 1.361929 0.188677 0.316683
212878430 18.479 2458179.64683 0.511345 0.081742 0.086995 contact
212884295 16.098 2458180.05753 0.632894 0.082281 0.151918 contact
212885442 15.582 2458179.58563 0.626888 0.081742 0.192118
251505087 16.021 2458180.01374 0.744603 0.080170 0.204046
251505480 18.300 2458179.54528 0.622504 0.080448 0.117676 contact
251505499 9.619 2458179.54539 0.622507 0.081742 0.278995 contact
251508456 15.216 2458179.90526 0.774116 0.142628 0.773576
251508975 16.979 2458179.93148 0.583320 0.081742 0.142980
251512942 14.262 2458179.54192 0.546855 0.081742 0.249001 contacting
251523672 16.201 2458179.84407 0.594784 0.043602 0.153440 contact
251524025 16.805 2458179.79873 0.638134 0.073617 0.386702
251539042 15.597 2458179.53378 0.561767 0.076747 0.249001
251543556 13.596 2458179.96760 0.498006 0.049089 0.018157
251551459 16.526 2458179.76260 0.938771 0.083508 0.235088
251566115 12.519 2458182.48929 11.850868 0.127530 0.072908
251567015 16.442 2458179.68328 0.558434 0.073032 0.111879 contact
251571270 17.339 2458179.61675 0.645707 0.048994 0.425897
251575183 18.642 2458179.89846 0.515838 0.070330 0.116968
251600179 17.983 2458179.74495 0.668258 0.055939 0.071262
251606815 15.059 2458179.53572 0.514761 0.081742 0.405411
251612064 15.053 2458179.72566 0.519174 0.081742 0.367738
251613109 17.532 2458180.09242 0.603096 0.075259 0.282421
251628925 12.632 2458197.00901 23.932888 0.374788 0.073781
251809768 18.310 2458182.00880 3.744813 0.132943 0.027276
251809787 16.978 2458180.14621 0.874333 0.111146 0.174670
251809799 18.088 2458179.77296 0.929420 0.101403 0.209458
251809801 18.209 2458180.14037 5.424922 0.239628 0.047817
251809804 18.366 2458181.02178 3.044908 0.394803 0.336826
251809805 18.431 2458179.87263 0.493215 0.072998 0.260563 contact
251809808 18.531 2458179.64709 0.986293 0.204333 0.341796
251809809 18.694 2458179.63921 0.543684 0.081742 0.091127 contact
251809830 19.404 2458180.01339 0.746323 0.081742 0.313398
251809968 19.390 2458179.54579 0.622505 0.081742 0.185758
251810686 10.865 2458186.24598 13.191424 0.151051 0.012218 quintuple system, Rappaport et al. (2016)
251539584 10.763 2458179.55118 1.088222 0.045042 0.000625 SB2, blend with 251539609
251539609 11.016 2458179.55151 1.088213 0.044667 0.000624 SB2, blend with 251539584

A machine-readable version of the table is available.

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Table 4.  Other Periodic Variables

  Kp P  
EPIC (mag) (day) Comments
212404864 17.754 0.583854
212416035 18.061 0.650274
212424629 16.018 0.651446
212424861 17.877 0.651436
212425817 16.684 0.715986 RR Lyrae
212426904 15.519 1.559636
212429810 9.835 1.751454
212431975 12.460 0.560643
212433098 14.338 0.755435
212433328 14.893 1.155617
212439709 14.352 0.609047 contact?
212440192 16.146 0.531711
212441076 14.847 0.528502
212443701 16.789 0.683153
212449290 16.309 0.847446
212449840 14.091 0.558064
212450261 12.888 3.746695
212453596 16.109 0.595544
212460039 9.020 0.571204
212461484 7.976 2.268343
212463213 14.966 0.644204
212467265 16.591 0.617039
212469922 12.509 0.810722
212470542 14.767 0.501587
212470959 16.904 0.909599
212475454 14.591 0.495057
212476230 14.065 0.909933
212476743 16.906 0.626211
212476895 12.756 0.806344
212478962 15.411 0.609325
212479061 18.334 0.491113
212481276 14.791 0.560738
212491978 14.025 0.535797
212492961 12.942 0.746502
212503342 8.324 0.501263
212504059 11.601 0.505806
212506921 16.857 0.537091
212506981 18.107 0.560708
212519490 12.859 0.553239
212520127 16.474 0.787684
212529254 15.890 1.224833
212530684 17.050 0.505286 large OOT amplitude
212534342 17.713 0.617741
212537690 16.567 0.605773
212540092 17.920 0.558487
212542474 12.033 0.526188
212551424 13.270 0.634884
212555590 14.733 0.636359
212560096 14.764 0.599002
212561206 15.129 0.615971
212562145 14.856 0.728760
212564937 14.129 0.506676
212570257 12.523 0.610247
212575000 16.145 0.735286
212575799 15.277 0.616666
212575959 12.439 0.670392
212578200 13.144 1.131015
212589990 12.178 0.504842
212594525 15.888 0.762575
212597328 18.187 0.658850 RR Lyrae
212601233 14.997 0.636031
212603282 12.328 0.696329
212603536 11.933 0.720349
212603999 15.443 0.502387 RR Lyrae
212609833 16.543 0.570110
212612729 14.534 0.904916
212617685 13.406 0.594009
212619206 15.542 0.687767
212620826 13.616 0.789620
212621423 14.951 0.817041
212628986 15.071 1.428411
212631286 13.236 0.525008
212631414 13.022 0.525005
212631757 16.082 0.175266
212636050 15.543 0.630885
212639395 16.928 0.591004
212639932 16.316 0.619463
212640806 15.889 0.510041
212642195 14.144 0.629391
212644219 16.174 0.622971
212648945 13.771 0.750334
212659834 11.665 0.546711
212666537 16.115 0.494617
212669531 13.967 0.606174
212672666 16.536 0.520714
212674862 15.842 0.675189
212676658 10.640 0.532304
212699845 17.389 0.616183
212703179 11.251 0.673494
212704410 10.588 0.762124
212706992 14.171 0.573939
212711185 15.760 0.676885
212711671 14.949 0.545729
212715425 14.822 0.542155
212716271 15.192 0.546693
212716448 18.478 0.546688
212716631 18.970 0.573803
212717166 16.262 0.586327
212718800 13.631 0.650108
212719030 15.126 1.349336
212720186 16.530 0.626749
212722087 12.587 0.546000
212722872 14.345 0.692869
212723581 15.961 0.600851
212730754 17.858 0.587020
212732420 13.805 0.546859
212733211 16.553 0.592465
212735753 17.112 0.611941
212736684 18.155 0.548902
212742333 18.142 0.582756
212749368 16.551 0.630246
212755404 13.810 0.758773
212760038 11.199 0.598949
212766036 16.427 1.128395
212775050 16.256 0.633570
212775136 13.127 0.520693
212783579 13.453 0.623693
212784817 15.000 0.735008
212785152 15.295 0.688545
212791551 19.214 0.720158
212791701 16.337 0.533695
212793961 12.154 0.633511
212794694 17.778 0.505073
212794999 16.022 0.602511
212795516 17.724 0.613296
212798939 16.823 0.507892
212801998 15.450 0.517430
212808944 13.005 0.670074
212812050 13.882 0.575880
212814000 14.807 0.561011
212814419 18.297 0.625019
212814441 14.201 0.783737
212818222 16.219 0.584496
212818294 16.194 0.829784
212820594 14.665 0.530704
212821516 11.946 0.508947
212824416 16.638 0.590808
212827294 16.930 0.559323
212828640 14.934 0.592274
212828933 14.283 0.716170
212829102 12.264 0.500330
212829130 16.467 0.646563
212829294 17.079 0.754500
212830414 16.810 0.571236
212831062 15.007 0.705463
212831234 13.076 0.649151
212833004 9.158 0.543036
212835551 12.676 0.562135
212835780 16.332 1.673125
212847938 15.743 0.607034
212853330 16.549 0.587536
212862638 15.191 0.497067
212867164 17.189 0.572633
212869088 17.220 0.505407
212870977 14.714 0.507252
212873395 12.808 0.605284
212879205 12.829 0.649341
212879653 11.576 0.517211
212881555 17.099 0.545534
212882485 15.839 0.624794
212882871 19.921 0.612855
212883764 15.503 0.668488
212884307 13.143 0.583500
229228086 17.360 0.620306
229228087 17.630 0.602832
229228091 18.240 0.600837
229228112 17.940 0.591997
229228121 17.770 0.574762
251501619 14.964 0.580914
251502557 13.714 0.679484
251504831 17.611 0.622515
251504891 9.777 0.528140
251505259 17.675 0.622474
251509348 16.172 0.623298
251517127 18.061 0.714932
251519864 11.446 1.275710
251520093 18.417 0.540185
251523672 16.201 0.594779
251526009 18.424 0.672721
251529654 16.234 0.521895
251530257 17.204 0.641235
251540409 16.770 0.537995
251554210 16.357 0.509245
251564868 18.244 0.494339
251566981 11.096 0.518554
251568443 14.911 0.714645
251569406 14.271 0.670480
251574051 13.248 2.206687
251578582 11.275 7.120210
251579007 14.922 0.629344
251583296 17.090 0.549769
251583388 14.011 0.950893
251585662 19.180 0.646642
251590688 12.081 0.710497
251596880 10.890 2.633147
251599500 15.101 0.571171
251602987 17.865 0.688673
251608983 12.951 0.934933
251611842 12.691 0.518191
251612403 15.626 0.698081
251613106 17.050 0.717477
251615995 14.797 0.561389
251809762 17.770 0.574708
251809767 18.290 0.609255
251809792 17.702 0.582034
251809793 17.830 0.535073
251809794 17.837 0.514385
251809800 18.158 0.644357
251809802 18.232 0.565049
251809803 18.271 0.538007
251809807 18.499 0.605395
251809812 18.954 0.615473
251809817 19.009 0.598227
251809820 19.110 0.573687
251809824 19.182 0.709409
251809836 19.611 0.591795
251809865 20.310 0.669433
251810875 18.667 0.643312
251811189 18.981 0.560705
251811486 19.100 0.798840
251811829 19.187 0.651565
251809821 19.110 0.610251

A machine-readable version of the table is available.

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5. Comparing Planet Candidates: C17 versus C6

Of our planet candidates (orbiting 18 stars), 24 were also observed by K2 in C6. This earlier campaign was searched for transiting planets by many groups, giving us a rare opportunity to compare the results of these analyses. Different teams have used a variety of photometric and transit search pipelines, all using fully calibrated data products. Because our analysis here uses raw cadence data (calibrated only by kadenza), our noise levels are higher and we do not expect to identify all transit-like signals described in the literature. Although we might naively expect substantial or complete overlap between the C6 surveys, that is not what we find. Table 5 compares the disposition of these 21 C6+C17 candidates by several large-scale surveys, which we describe below.

Table 5.  Our C17 Candidates Observed in C6

Candidate C6 Po16 Ma18 Pe18 Li18 Name Validation Reference/Note
212496592.01 Y PC VP N N K2-191b Mayo et al. (2018)
212521166.01 Y PC VP PC VP K2-110b Osborn et al. (2017)
212554013.01 Y PC N PC VP K2-127b Dressing et al. (2017b)
212570977.01 Y PC N PC PC
212572439.01 Y PC N PC PC Blend with 212572452.
212572452.01 Y PC N N PC Blend with 212572439.
212575828.01 Y PC N N N
212580872.01 Y PC VP PC VP K2-193 Mayo et al. (2018)
212634172.01 Y N N N N
212661144.01 Y PC N N N
212686205.01 Y N VP N N K2-128b Dressing et al. (2017b)
212689874.01 Y PC VP PC VP K2-195b Mayo et al. (2018)
212689874.02 Y PC VP PC VP K2-195c Mayo et al. (2018)
212697709.01 Y PC VP PC PC WASP-157b Močnik et al. (2016)
212735333.01 Y PC VP PC PC K2-197b Mayo et al. (2018)
212768333.01 Y PC VP N N K2-198b Mayo et al. (2018)
212768333.02 Y PC N N N  
212779596.01 Y PC VP PC VP K2-199b Mayo et al. (2018)
212779596.02 Y PC VP PC VP K2-199c Mayo et al. (2018)
212803289.01 Y PC VP PC PC K2-99b Smith et al. (2017)
212813907.01 Y PC N N N

Notes. VP (validated planet), PC (planet candidate), N (not identified).

References. Po16 (Pope et al. 2016), Ma18 (Mayo et al. 2018), Pe18 (Petigura et al. 2018), Li18 (Livingston et al. 2018, submitted).

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Pope et al. (2016) identified 19 of our candidates as planet candidates, missing only two of our candidate systems—EPIC 212634172 and 212686205. This is the highest degree of overlap for any C6 catalog, suggesting a higher completeness rate than those of other analyses.

Dressing et al. (2017a, 2017b) derived stellar and planetary parameters and associated false positive probabilities for planets orbiting late-type stars that were discovered by multiple transit surveys. They validated EPIC 212554013 and 212686205, left 212634172 as a planet candidate, and deemed 212572452 to be a false positive because its photometry is blended with that of 212572439.

Mayo et al. (2018) identified and validated planets in 10 of our candidate systems: EPIC 212496592, 212521166, 212580872, 212686205, 212689874, 212697709, 212735333, 212768333, 212779596, and 212803289. They did not report any candidates around our candidate systems EPIC 212554013, 212570977, 212572452, 212572439, 212575828, 212634172, 212661144, or 212813907.

Finally, the signals in 11 of our C6+C17 systems were identified as planet candidates by Petigura et al. (2018), viz., EPIC 212521166, 212554013, 212570977, 212572452, 212572439, 212580872, 212689874, 212697709, 212735333, 212779596, and 212803289. In a follow-up paper, Livingston et al. (2018, submitted) validated EPIC 212521166, 212554013, 212580872, 212689874, and 212779596. EPIC 212697709 remains a candidate in the latter paper with a false positive probability of 1.9%, but this planet was validated as WASP-157 (Močnik et al. 2016). Livingston et al. also found a sufficiently low FPP to validate EPIC 212803289 and 212570977, but out of an abundance of caution they deemed these to be candidates because of their large radii (>10 R). They also found EPIC 212572439 and 2127355333 to have very low FPPs but called these merely candidates because of an additional stellar source in the K2 photometric aperture (E. Gonzales et al. 2018, in preparation).

As a further comparison, we calculated the ephemerides offsets of 11 of our C17 candidates with those derived from C6 data. To avoid possible biases that could arise from using different pipelines, we only compared those candidates with ephemerides reported by Livingston et al. (2018, submitted). Ephemerides for all 11 candidates are consistent at the 3σ level, with only three candidates disagreeing at the 2σ–3σ level (212570977.01, 212779596.01, and 212803289.01).

In summary: we identified $34$ planet candidates in C17. Of those, 21 had been observed in C6 and all but one (212634172.01) had been previously identified in one or more previous surveys. Table 5 summarizes the overlap between the several samples, showing that no one combination of different methods, teams, thresholds, and other factors suffices to produce a fully complete planet candidate list—a result consistent with previous studies (e.g., Moutou et al. 2005).

6. Individual Systems

Below we discuss several interesting individual systems discovered by our C17 analysis. We separate these into several groups: potentially exciting discoveries warranting additional follow-up observations; more generic candidates nonetheless requiring some additional discussion; and objects that (though planet candidates) may be somewhat more likely to be non-planetary false positives.

  • 1.  
    212779563 (Wolf 503, HIP 67285). This candidate planet's size of 2 R lies near the radius gap between sub-Neptunes and super-Earths (Fulton et al. 2017). The short period and nearby, bright star (V = 10.3, H = 7.8) could make this an excellent target for future RV and transmission spectroscopy. This system is described in more detail by Peterson et al. (2018).
  • 2.  
    212628254 (HD 119130). This 2.7 R candidate orbits a V = 9.9, slightly evolved G star. It may also be a good RV target because of the planet's moderate size and bright host star.
  • 3.  
    212689874 (K2-195). The transit light curve of this system shows possible spot-crossings, perhaps similar to those seen in CoRoT-29b (Cabrera et al. 2015).
  • 4.  
    212813907. In addition to the transiting planet candidate reported here with P = 6.7 day, we see an obvious single transit with a depth of 1.8% centered at BJDTBD = 2458213.82646 and with duration 0.66 day. The feature is well-defined, symmetric, and isolated in the light curve and thus is unlikely to be caused by stellar activity. The signal therefore points to a candidate transiting companion with a radius of ∼1 RJup and P ≈ 1000 day. No corresponding transit was seen for this star during C6.
  • 5.  
    212686205 (K2-128). (Dressing et al. 2017a) showed that this star is a K4 dwarf, despite its EPIC classification as a giant (Huber et al. 2016). The star exhibits semi-sinusoidal brightness variations that are likely due to starspots and stellar surface rotation, with a period of Prot = 11.9 days and amplitude of 0.018 mag. The position of the star in a rotation period–color diagram indicates an age similar to that of Praesepe (∼600–800 Myr).
  • 6.  
    212768333. This candidate was validated as the single-planet K2-198b (P = 17 day) using data from C6 (Mayo et al. 2018), but our C17 data also reveal a second candidate with P = 7.4 day. These two candidates, plus a third (P = 3.4 day), were previously reported by Pope et al. (2016). The star has K2 data available from Campaigns 6 and 17, making a search for additional transiting planets at longer orbital periods possible. The star shows periodic variability, which is likely due to rotation of the spotted surface. The inferred rotation period of 7.02 days and variability amplitude of 0.024 mag (from the 10th to 90th percentile) point to a young system age (Rebull et al. 2016, 2018), likely older than the Pleiades (125 Myr) but perhaps younger than or similar in age to Praesepe (∼600–800 Myr).
  • 7.  
    212619190 and 212707574. These are both ultra-short-period (USP) planet candidates. While the signals are convincing, the inferred sizes we report here are larger than those of typical USPs (Winn et al. 2018).

The following planet candidates seem reliable but warrant some additional discussion.

  • 1.  
    212748535. We originally identified this candidate as a signal associated with EPIC 212748598 (Kp = 17.4 mag). This faint source is classified as a galaxy by The 2dF Galaxy Redshift Survey (Colless et al. 2001) and appears galaxy-like in Pan-Starrs multicolor imaging (A. Rest 2018, private communication). We conclude that EPIC 212748598 is a galaxy despite its designation as "STAR" in EPIC. Gaia DR2 shows a brighter, stellar source with ${\rm{\Delta }}G=5.4$ mag within our K2 aperture and 20'' away. This brighter star is EPIC 212748535, which Gaia shows to be a K dwarf (Teff = 3800 K, ${R}_{* }=0.67\,{R}_{\odot }$) and which dominates the flux in our K2 photometric aperture. We conclude that the brighter source, EPIC 212748535, is the true host of the observed ∼1 mmag transit. The galaxy will dilute the observed transit by roughly 1%, much less than the uncertainty on the transit depth and candidate radius.
  • 2.  
    212682254: This star has a candidate with RC = 6 R and P = 10.7 day, and also shows photometric variability due to starspots, with an amplitude of 0.019 mag (again measured from the 10th to 90th percentile) and an inferred rotation period of 9.45 days. The rotation period and color place the star near the slowly rotating I-sequence of Praesepe members (Barnes 2007), indicating an age similar to that of that cluster (∼600–800 Myr).
  • 3.  
    212572439 and 212572452. Our analysis independently identified two candidates with the same periods around these adjacent stars (separated by 6'' and with consistent Gaia parallaxes). A transit-like signal from the blend of these two sources has also been identified in previous works (Dressing et al. 2017b; Petigura et al. 2018, Livingston et al. 2018, submitted; E. Gonzales et al. 2018, in preparation), and both signals were identified (though the blend went unremarked) by Pope et al. (2016). Based on our inferred stellar and planetary properties, this signal could still be a transiting planet regardless of which of these two stars it orbits; we thus retain both signals as planet candidates. Additional follow-up will be required to identify which object is the transit host.

Finally, the objects below pass our criteria as planet candidates but show warning signs hinting that they may be non-planetary:

  • 1.  
    251590700. This source has no Gaia DR2 parallax, so the derived stellar parameters are somewhat less certain. The parallax measurement is presumably lacking because of an enormous amount of excess noise in the five-parameter Gaia solution (astrometric_excess_noise_sig = 64781), suggesting the possibility that the star is a binary. Our transit fit implies a stellar density (assuming a circular orbit; Seager & Mallén-Ornelas 2003) of ${\rho }_{* ,\mathrm{circ}}={0.0033}_{-0.0003}^{+0.0005}$ g cm−1, implying either a highly eccentric orbit or a false positive caused by an eclipsed, low-density giant star.
  • 2.  
    251582120. We originally identified this event as a signal around EPIC 251581990, a faint (Kp = 18.5 mag) source listed as an "EXTENDED" (i.e., non-stellar) object in EPIC. Our aperture for this faint target enclosed another nearby brighter stellar source, EPIC 251582120 (Kp = 15.2 mag), whose flux dominates our light curve. Our light curve fit for this brighter source implies ρ*,circ = 0.165 ± 0.055 g cm−1, mildly inconsistent with our isochrones+Gaia-derived stellar density of 0.79 ± 0.20 g cm−1. The crowded aperture and mismatch in stellar densities hint that this planet candidate may be less reliable, though the mismatch could also indicate an eccentric orbit.
  • 3.  
    212686312. This signal is both deep (6%) and V-shaped, indicating a grazing transit. Combined with the very short orbital period and the inferred companion radius presented here of 26 R, the planetary nature of the signal is doubtful.
  • 4.  
    212628477. This star is rapidly rotating, with a period of 2.685 days and a variability amplitude of 0.045 mag. The star's rapid rotation combined with its color suggest an age younger than that of the Pleiades (Rebull et al. 2016). The rotation period is clearly distinct from the much longer period of the planet candidate (P = 15.4 day), but there are several warning signs for this candidate: the transits are grazing so the inferred companion is large (${21.0}_{-2.2}^{+15.4}\,{R}_{\oplus }$); Gaia DR2 reports a highly uncertain radial velocity of 20.98 ± 19.55 km s−1, perhaps indicative of RV variability; and the TRES spectrum shows a probable shoulder in the cross-correlation function indicating a double-lined spectrum (see Table 1). Nonetheless this remains a planet candidate because it meets the current TESS criteria for planet candidates.
  • 5.  
    251539584 and 251539609. These two stars are both spectroscopic binaries. Both showed candidate transit signals with the same transit ephemeris (P = 1.09 day). The stars are roughly equal in brightness (ΔKp = 0.2 mag), are separated by roughly 14'', and are both are contained in the photometric aperture applied to the other. The two stars are apparently associated and co-moving, based on their kinematics from Gaia DR2. The combined light curve is variable, indicating a rotation period of 4.34 days and amplitude of 0.002 mag (though the true amplitude must be larger because of flux dilution from the companion). TRES spectroscopy shows that both EPIC sources are short-period double-lined spectroscopic binaries (see Table 1), so we list these systems as candidate EBs.

7. Discussion and Conclusion

From ∼34,000 stars observed in K2's most recent field, Campaign 17, we identified $1274$ transit-like events. Among these, we find $34$ planet candidates (Table 2), $184$ eclipsing binaries (Table 3), and $222$ other periodic variables (Table 4). Because C17 was observed in "forward-facing" mode by K2 in its Earth-trailing orbit, these targets can be immediately observed before the ecliptic field sets for the season. Many of these objects were also observed by K2 during C6, offering a rare opportunity to study the same systems over a 1000 day timespan. Multiple observations of the same field will be commonplace when TESS begins near-continuous observations of the ecliptic poles, which will substantially increase that survey's sensitivity to long-period planets. Though beyond the scope of this work, a comprehensive transit search in C6+C17 (or C5+C16) would probe a single, narrow range of orbital periods from 880 to 1030 day (and harmonics of these periods).

We evaluated the overlap between our C17 planet candidates and those observed in C6 by several earlier planet surveys, finding again that K2 efforts have substantially different completeness (Crossfield et al. 2016; Mayo et al. 2018). The C6 catalog of Pope et al. (2016) overlaps most closely with our C17 candidate list, indicating that that sample has either a high degree of completeness or (at worst) a very similar set of biases to that of our sample. Unfortunately, the different samples and data quality between the calibrated C6 data and our use of C17's raw cadence data precludes any conclusions about false positive rates in these surveys. Nonetheless, the generally incomplete overlap between the candidate lists of different surveys lends support to the TESS science plan to use two independent pipelines, SPOC and QLP, to minimize the chances of interesting planet candidates passing unnoticed.

In this work we focus on the search for new transiting planet candidates, whose parameters are summarized in Table 2. We find several candidates that have sizes <4 R and orbit stars with Kp ≲ 10, indicating that these are good RV targets. The most interesting are Wolf 503 (EPIC 212779563.01; see Peterson et al. 2018, submitted) and HD 119130 (EPIC 212628254.01). If found by TESS, such planet candidates would be ideal targets for fulfilling its prime science goal of contributing to the measured masses of 50 small planets.

Several other planet candidate discoveries highlight potentially intriguing dynamical and/or multi-body systems. We see a single, deep transit around EPIC 212813907, which also hosts a 6 day planet candidate, suggesting a Jupiter-sized companion on a long-period orbit. We also identify a candidate planet in each of two possible binary systems (EPIC 251539584 & 251539609, and EPIC 212572439 & 212572452).

In conclusion, K2's rapid data releases for its recent campaigns have facilitated quick identification of many interesting astrophysical phenomena in time for immediate ground-based follow-up. This approach is qualitatively the same as that planned for TESS. In this C17 exercise, our TESS-like and K2-like vetting approaches both yielded the same set of planet candidates. This result validates the results derived from similar, past analyses of K2 and also demonstrates that the team members soon to be examining TESS data have the tools and expertise necessary for a successful mission. After four years Kepler yielded to K2; another four years on, in Olympic fashion, K2 will likewise pass the baton to TESS to continue building on the great legacy of exoplanet exploration.

We thank the anonymous referee for useful comments that improved the quality of this paper. We thank A. Rest for discussions about the nature of EPIC 212748598. I.J.M.C. acknowledges support from NASA through K2GO grant 80NSSC18K0308 and from NSF through grant AST-1824644. Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. T.J.D. acknowledges support from the JPL Exoplanetary Science Initiative This paper includes data collected by the Kepler mission. Funding for the Kepler mission is provided by the NASA Science Mission directorate. Some of the data presented in this paper were obtained from the Mikulski Archive for Space Telescopes (MAST). STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5–26555. Support for MAST for non-HST data is provided by the NASA Office of Space Science via grant NNX13AC07G and by other grants and contracts. This research has made use of the Exoplanet Follow-up Observing Program (ExoFOP), which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration.

Facilities: Kepler - The Kepler Mission, K2 - , FLWO:1.5 m (TRES) - , Keck:I (HIRES) - KECK I Telescope, APF (Levy) - .

Footnotes

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10.3847/1538-4365/aae155