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NO TIMING VARIATIONS OBSERVED IN THIRD TRANSIT OF SNOW-LINE EXOPLANET KEPLER-421b

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Published 2016 July 15 © 2016. The American Astronomical Society. All rights reserved.
, , Citation Paul A. Dalba and Philip S. Muirhead 2016 ApJL 826 L7 DOI 10.3847/2041-8205/826/1/L7

2041-8205/826/1/L7

ABSTRACT

We observed Kepler-421 during the anticipated third transit of the snow-line exoplanet Kepler-421b in order to constrain the existence and extent of transit timing variations (TTVs). Previously, the Kepler spacecraft only observed two transits of Kepler-421b, leaving the planet's transit ephemeris unconstrained. Our visible light, time-series observations from the 4.3 m Discovery Channel Telescope were designed to capture pre-transit baseline and the partial transit of Kepler-421b, barring significant TTVs. We use the light curves to assess the probabilities of various transit models using both the posterior odds ratio and the Bayesian Information Criterion, and find that a transit model with no TTVs is favored to 3.6σ confidence. These observations suggest that Kepler-421b is either alone in its system or is only experiencing minor dynamic interactions with an unseen companion. With the Kepler-421b ephemeris constrained, we calculate future transit times and discuss the opportunity to characterize the atmosphere of this cold, long-period exoplanet via transmission spectroscopy. Our investigation emphasizes the difficulties associated with observing long-period exoplanet transits and the consequences that arise from failing to refine transit ephemerides.

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1. INTRODUCTION

Since the end of the primary Kepler mission, the number of confirmed or validated transiting exoplanets with periods of hundreds of days has grown rapidly, despite their low inherent transit probabilities. Presently, the NASA Exoplanet Archive reports 138 confirmed transiting exoplanets with periods greater than 100 days, 9 of which have periods greater than 500 days (Akeson et al. 2013). This is in part due to dedicated searches for long-period exoplanets (e.g., Fischer et al. 2012; Wang et al. 2015; Uehara et al. 2016) and is also a result of the ongoing analysis of the Kepler data set (e.g., Kipping et al. 2016; Morton et al. 2016).

Long-period exoplanets that orbit near or beyond their systems' snow-lines provide valuable opportunities to explore theories of planetary formation and evolution (Öberg et al. 2011). Their atmospheric abundances provide a test of theories such as core accretion (Pollack et al. 1996) and disk instabilities (Boss 1997). Furthermore, massive long-period planets may influence the dynamic stability and final architecture of multi-planet systems through planetary migration (Rasio & Ford 1996; Ida & Lin 2004).

A variety of observational challenges have so far impeded efforts to probe the atmospheres of exoplanets akin to the four gas giants in the solar system. Their low effective temperatures prevent detection through direct imaging. These exoplanets' slow orbital velocities also limit the usefulness of high-resolution spectroscopy to observe Doppler-shifted, atmospheric spectral features (Snellen et al. 2010; Birkby et al. 2013). Characterizing long-period exoplanet atmospheres through reflected light is possible but will not be feasible until the launch of future missions such as the Wide-Field Infrared Survey Telescope (Spergel et al. 2015; Lupu et al. 2016).

The atmospheres of long-period transiting exoplanets can be probed via transmission spectroscopy (Dalba et al. 2015). However, for an exoplanet with fewer than three documented transits, the magnitude of transit timing variations (TTVs) due to the dynamical influence of an unknown companion is unconstrained. In some cases, long-period exoplanets exhibit TTVs of up to 40 hr (Wang et al. 2015). Without an estimate of the magnitude of TTVs, planning follow-up observations for atmospheric characterization is a risky practice, if not altogether infeasible.

Here we focus on the long-period exoplanet Kepler-421b: a 4.2 R planet transiting a G9V star with an orbital period of ∼704 days discovered by Kipping et al. (2014). Kepler-421b has a calculated equilibrium temperature of ∼185 K (assuming a Bond albedo of 0.3) and likely resides near its system's snow-line. The Kepler spacecraft only observed two 15.8 hr transits of Kepler-421b in Quarters 5 and 13. Since the repurposed K2 mission cannot return to the original Kepler field (Howell et al. 2014), there was no dedicated observatory to view the third transit that was set to occur on UT 2016 February 19. With only two documented transits and no information about companions in the Kepler-421 system, the influence of TTVs on Kepler-421b's transit ephemeris was entirely unknown.

In this letter, we describe ground-based observations of Kepler-421 taken during the anticipated third transit of Kepler-421b (assuming a linear ephemeris) in order to constrain the magnitude of TTVs.

2. OBSERVATIONS

We observed Kepler-4213 in the V-band on the calendar mornings of 2016 February 18, 19, and 20 with the Large Monolithic Imager (LMI; Massey et al. 2013) on the 4.3 m Discovery Channel Telescope (DCT). Each observation began at approximately 01:00 Mountain Standard Time (MST) and concluded in civil twilight (∼06:45 MST).

In the absence of TTVs and assuming a linear ephemeris, the Barycentric Kepler Julian Date (BKJD)4 of mid-transit (t0) was 2605.3626 ± 0.0030 or approximately 13:42 MST on 2016 February 19. We will hereafter refer to this as the nominal transit of Kepler-421b. Using the transit duration measured from the Kepler data (${15.79}_{-0.10}^{+0.12}$ hr, Kipping et al. 2014), the approximate start of ingress was 05:48 MST, with an uncertainty of 8.4 minutes. The airmass of Kepler-421 at the nominal ingress was 1.34 and rising. Astrometric twilight began at 05:44 MST, followed by nautical and civil twilight at 06:13 and 06:43 MST, respectively.

The exposure times were 10, 15, and 3 s for the 3 nights, respectively. These times maximized the amount of signal in each integration while still staying safely below the LMI's nonlinear response regime. The weather during the first two nights consisted of partly cloudy skies and occasional cirrus layers. Periods of increased cloudiness during the night of the nominal transit are apparent in the light curve of Kepler-421. Conditions during the third night were mostly clear.

The analysis described in the following sections was only applied to exposures taken while Kepler-421 was at a relatively low airmass, ranging from 2.0 to 1.2.

3. DATA ANALYSIS

3.1. Calibration

We developed a custom pipeline for the calibration and analysis of time-series, photometric observations taken with the DCT-LMI. The calibration consisted of bias and overscan subtraction and a flat-field correction.

The dark current on the LMI was estimated to be 0.07 electrons pixel−1 hr−1, which was negligible for these observations.

3.2. Differential Aperture Photometry

We conducted differential aperture photometry on Kepler-421 using calibration stars in the 12farcm× 12farcm3 field of view of the DCT-LMI. Our initial source extraction identified several hundred sources in the field, but we only conducted photometry on a subset of these (hereafter referred to as "calibration stars") that were not saturated or located too close to another star or the edge of the detector.

For each image, we conducted aperture photometry for Kepler-421 and each calibration star using apertures of radius 21, 15.5, and 12.5 pixels for each night, respectively. These apertures produced the lowest out-of-transit scatter in the final light curves. In every case, we estimated and removed the local background signal for each source using sky annuli with inner and outer radii of 25 and 35 pixels. The resulting light curve of Kepler-421 and each calibration star was then normalized to its own median value.

We further normalized the light curve of Kepler-421 to that of a master calibration star, which was the mean light curve of a subset of all of the calibration stars in the image. To determine this subset, we first identified the 15 calibration stars whose light curves exhibited the smallest residuals compared to that of Kepler-421. Then we calculated the final normalized light curve of Kepler-421 using every combination of those 15 calibration sources and chose the set that yielded the lowest out-of-transit scatter. For consistency, the set of calibration sources selected via this procedure (Table 1) for 2016 February 19 was also employed for the other two nights.

Table 1.  Final Calibration Stars

KIC IDa Kepler Magnitude
8800901 14.789
8866248 14.483
8866315 14.437
8800997 14.263
8801075 14.387
8800921 13.699

Note.

aKepler Input Catalog (Brown et al. 2011).

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A slight background trend was present in each light curve. Assuming that this signal was a linear function of time, we fit and removed the trend via a least squares linear regression of the data collected before 05:15 MST each night (∼0.5 hr prior to the nominal time of ingress on 2016 February 19).

The final light curves of Kepler-421 for each night are shown in Figure 1. The errors on the individual exposures included the Poisson noise from the star and background and the read noise, which was ∼6 electrons per pixel. These uncertainties were propagated through the calculation of the master calibration star and the normalization of the Kepler-421 light curves. Also shown in Figure 1 are light curves of Kepler-421 that have been binned by a factor of 40.

Figure 1.

Figure 1. DCT-LMI photometry of Kepler-421 from the mornings of 2016 February 18 (panels (a) and (b)), 2016 February 19 (panels (c) and (d)), and 2016 February 20 (panels (e) and (f)). The black data points are individual exposures and the red data points are variance-weighted and binned by a factor of 40. Only data taken at an airmass of less than two are shown. There were 460, 368, and 690 data points for 2016 February 18, 19, and 20, respectively. The horizontal dashed lines are drawn at unity for reference. The vertical dashed lines in panels (c) and (d) are drawn at the nominal ingress time of the third transit of Kepler-421b. The green line in panel (d) is a theoretical model of the nominal transit of Kepler-421b and has not been binned or fit to the data.

Standard image High-resolution image

Prior to three hours before sunrise, Kepler-421 had an airmass near 2 and the data points displayed a minor increase in signal. This was likely a result of slight color differences between the target and calibration stars integrated over the long columns of air. The effect was not apparent in the third night when the integration time was much shorter.

The light curve of Kepler-421 from 2016 February 19 exhibited a slight decrement in flux that coincided with the transit ingress of exoplanet Kepler-421b in the absence of large TTVs. The feature was not immediately obvious from the individual exposures but became clear when the signal was binned. Similar features were not present in the photometry from the other two nights of observation.

To test if the feature was introduced by one of the calibration stars, we recalculated the light curve of Kepler-421 1000 times, using different sets of calibrations stars. These sets were the combinations of the original 15 calibration stars mentioned previously that yielded the lowest out-of-transit scatter in the final light curve. The resultant distribution of light curves is presented in Figure 2 and the decrease in flux at the nominal time of ingress is still present. The excess of flux caused by the increasing airmass prior to three hours before sunrise is also present.

Figure 2.

Figure 2. Distribution of Kepler-421 light curves created from 1000 sets of calibration stars for 2016 February 19. In the top panel, the black data points represent the 50th percentile of the distribution and their error bars represent the 16th and 84th percentiles. In the bottom panel, the points have been binned by a factor of 40 and the gray region represents the 1σ spread in the binned points. The vertical dashed lines are drawn at the nominal ingress time of Kepler-421b. The decrease in flux near the end of the observation persists even when other sets of calibration stars are used to normalize the Kepler-421 photometry.

Standard image High-resolution image

We also visually inspected the normalized light curves of each calibration star used in the analysis and failed to find any spurious features.

4. HYPOTHESIS TESTING

The moderate precision achieved by the photometry and the subtlety of the transit signature of Kepler-421b (transit depth ≈0.3%) warranted a careful analysis of the Kepler-421 light curves. We considered three simple hypotheses regarding the third transit of Kepler-421b5 :

  • The transit of Kepler-421b did not display TTVs and began on 2016 February 19 according to a linear ephemeris. The light curves from the other two nights of observation displayed no variation. The transit parameters for this hypothesis were taken from Kipping et al. (2014) and the mid-transit time (t0) was simply extrapolated linearly from the previous two transits. This hypothesis had zero free parameters.
  • The final light curves of Kepler-421 displayed no variation. This comprehensive hypothesis included scenarios where the transit occurred before the observations on 2016 February 18, after the observations on 2016 February 20, or during a gap in the observations. It may also suggest that the precision of the photometry was too poor to distinguish the transit from a flat line. This hypothesis had zero free parameters.
  • The transit of Kepler-421b occurred with a TTV such that the observations captured some portion of the transit. We considered TTVs in the ranges [−1.74, −0.97], [−0.75, 0.03], and [0.26, 1.03] days, which shifted transit egress just before the first observation on 2016 February 18 or transit ingress just after the final observation on 2016 February 20. Away from transit,the light curves displayed no variation. All transit parameters with the exception of t0 were taken from Kipping et al. (2014). This hypothesis had one free parameter: t0.

4.1. Odds Ratio

We assessed the plausibility of our hypotheses by calculating the posterior odds ratio

Equation (1)

where ${{ \mathcal P }}_{{ij}}$ was the prior odds and Bij was the ratio of Bayesian evidences, also known as the Bayes factor (see, for instance, Gregory 2005), for hypotheses i and j. Without prior information, we assumed ${{ \mathcal P }}_{{ij}}=1$ for the comparison of each set of hypotheses. We also assumed Gaussian likelihood functions when calculating the Bayesian evidences.

For H0 and H1, which had zero free parameters, B01 was simply the likelihood ratio

Equation (2)

where ${\chi }_{0}^{2}$ and ${\chi }_{1}^{2}$ were the chi-squared statistics for H0 and H1, respectively. These two hypotheses only differed during the final ∼0.7 hr of observation on 2016 February 19. For the unbinned Kepler-421 light curves, B01 = 134, offering moderate to strong evidence in favor of H0 according to the Jeffreys' scale (Jeffreys 1961; Kass & Raftery 1995). To aid in the interpretation of this result, we approximated the frequentist p-value test statistic (p) using ${B}_{{ij}}\leqslant -{(ep\mathrm{ln}p)}^{-1}$, where e is the base of the natural logarithm (Sellke et al. 2001). For B01 = 134, p = 3.43 $\quad \times \quad {10}^{-4}$ meaning that H0 was favored to 3.6σ confidence.

H2 was inherently more complicated than H0 and H1 because it included the free parameter t0, the mid-transit time. The calculation of B02, the Bayes factor between H0 and H2, necessitated a prior on t0. Since the potential for TTVs in the Kepler-421 system was unknown, we used a uniform prior over the range of t0 such that the observations captured some portion of the transit. The lengths of these ranges were 0.77, 0.78, and 0.77 days for the three nights of observation, respectively. We then integrated the likelihood function over these ranges and computed the Bayesian evidence for H2, which we divided into the likelihood of H0. This yielded the Bayes factor B02 = 370, meaning that H0 was favored to 3.9σ.

4.2. Bayesian Information Criterion

To verify the result suggested by the Bayes factors, we also assessed the plausibility of our hypotheses with the criterion of Schwarz (1978), presented as the Bayesian information criterion (BIC):

Equation (3)

where Mi was the maximum of the likelihood function, ki was the number of free parameters, and n was the number of data points for each hypothesis i. The BIC did not require the specification of priors, and the most plausible hypothesis was that which minimized the BIC.

By employing the BIC in our analysis, we assumed that the data were independent and identically distributed. As in our calculations of the Bayes factors, we once again assumed Gaussian likelihood functions.

We determined the BIC values for the three hypotheses using the unbinned photometry of Kepler-421. Since both H0 and H1 had zero free parameters, the comparison of their BIC values (${\rm{\Delta }}{{\rm{BIC}}}_{{H}_{1}}={{\rm{BIC}}}_{{H}_{1}}$ − ${{\rm{BIC}}}_{{H}_{0}}=+9.8$) was identical to the calculation of B01 presented above.

For H2, we calculated BIC values for TTVs in the previously mentioned ranges sampled every 0.5 minutes. The differences in BIC values relative to H0 (${\rm{\Delta }}{{\rm{BIC}}}_{{H}_{2}}={{\rm{BIC}}}_{{H}_{2}}$ − ${{\rm{BIC}}}_{{H}_{0}}$) are shown in Figure 3, along with ${\rm{\Delta }}{{\rm{BIC}}}_{{H}_{1}}$ for reference. For all TTVs considered, ${\rm{\Delta }}{{\rm{BIC}}}_{{H}_{2}}$ was positive, which offered further evidence that the transit of Kepler-421b occurred without TTVs.

Figure 3.

Figure 3. Differences in BIC values between H2 (a Kepler-421b transit with TTVs) and H0 (the nominal Kepler-421b transit without TTVs) calculated from the unbinned data. The red line at ΔBIC = +9.8 shows the difference in BIC between H1 (no variability in the light curves) and H0. This value does not depend on TTV length but is drawn for reference to the black lines. The dashed black line in the top panel shows the dependence of the ΔBIC values for 2016 February 17 on the background removal procedure. Since all ΔBIC values are positive with respect to the nominal transit hypothesis (H0), the most likely explanation of the data set is that the transit of Kepler-421b occurred without TTVs according to a linear ephemeris.

Standard image High-resolution image

The difference in BIC values between H2 and H1 was also positive, suggesting that H1 was more plausible that H2 given the data. This conclusion was especially valid for the TTV values near the six peaks in the ΔBIC distributions that corresponded to TTVs placing transit ingress or egress near the middle of the Kepler-421 light curves. These scenarios were clearly ruled out by the DCT-LMI photometry. The troughs in between the ΔBIC peaks corresponded to TTVs that placed the observations in mid-transit of Kepler-421b, which closely resembled a flat line (i.e., H1). For these TTVs, the ΔBIC was primarily a result of the "Occam's Razor" penalty for the added free parameter (t0).

In two cases, the ${{\rm{BIC}}}_{{H}_{2}}$ dipped below ${{\rm{BIC}}}_{{H}_{1}}$ despite the $k\mathrm{ln}n$ penalty. First, near a TTV value of −1.46 days, the seemingly flat light curve of Kepler-421 appeared to resemble a portion of the theoretical transit of Kepler-421b before mid-transit. However, if the slight background trend present in the data was removed using the entire night's observations versus a subset matching 2016 February 19 (see Section 3.2), the feature vanished and the entire ΔBIC curve closely resembled the other nights' curves (Figure 3, dashed line). A recalculation of the posterior odds ratio between H0 and H2 using this alternative background subtraction procedure yielded B02 = 1283, or 4.2σ, strengthening the conclusion that the data favored the hypothesis H0.

The second case of ${{\rm{BIC}}}_{{H}_{2}}\lt {{\rm{BIC}}}_{{H}_{1}}$ occurred near a TTV of zero days. As opposed to the first case, this feature was not sensitive to the background removal procedure. The minimum occurred at a TTV of −5.0 minutes where ${{\rm{BIC}}}_{{H}_{2}}-{{\rm{BIC}}}_{{H}_{1}}=-4.6$. Considered independently, this provided moderate evidence in favor of H2, with a TTV of 5 minutes, over H1. However, considering the full width at half maximum of the ΔBIC feature (∼20 minutes) and the uncertainty in the time of ingress (8.4 minutes, Section 2), we instead interpreted this result as further support of the hypothesis that the third transit of Kepler-421b occurred without measurable TTVs.

5. DISCUSSION

Based on observations taken with the DCT-LMI, the third transit of Kepler-421b likely occurred without TTVs. Either Kepler-421b is the only planet in its system or the dynamical interactions with undiscovered companions are too weak to alter Kepler-421b's orbit. Without significant TTVs, the future transits of Kepler-421b may be predicted by linearly extrapolating its transit ephemeris. In Table 2, we predict the next six transits and propagate errors based on uncertainties in the period and t0 of the first two transits, and the uncertainty in ingress time of the third transit (∼20 minutes, Section 4).

Table 2.  Timing of Past and Future Transits of Kepler-421b

Number t0 ${\sigma }_{{t}_{0}}$ Potential
  (UTC) (hr) Observatoriesa
1 2012 Apr 12 11:10 0.05 K
2 2014 Mar 17 15:56 0.05 K
3 2016 Feb 19 20:42 0.34 DCT
4 2018 Jan 24 01:27 0.67 H, S
5 2019 Dec 29 06:13 1.01 H, J
6 2021 Dec 02 10:59 1.35 H, J
7 2023 Nov 06 15:44 1.68 H, J
8 2025 Oct 10 20:30 2.02 H, J
9 2027 Sep 15 01:16 2.36 H, J

Note.

aThe potential observatories are K:Kepler Space Telescope, DCT:Discovery Channel Telescope, H:Hubble Space Telescope, S:Spitzer Space Telescope, and J:James Webb Space Telescope. We adopt optimistic estimates for the lifetimes of both HST and JWST.

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The next transit is due to occur at UT 01:27 on 2018 January 24, with a margin of error of ∼40 minutes. With ingress and egress ∼8 hr before and after this date, this transit will not be observable from the ground. The fortuitous circumstance described in this letter whereby out-of-transit baseline and a portion of transit were both observed at reasonable airmass from a ground-based observatory will not occur again for many years. Therefore, space-based observation with observatories such as Spitzer will be necessary to maintain the transit ephemeris.

The importance of observations specifically aimed at aiding the recovery of future exoplanet transits was mentioned recently by Beichman et al. (2016). This practice is imperative for long-period exoplanets. In a sample of long-period transiting exoplanets identified by the Planet Hunters project (Wang et al. 2015), at least 50% displayed TTVs ranging from 2 to 40 hr. Beyond this small sample of known long-period transiting exoplanets, it is possible that exoplanets discovered in the future will display even larger TTVs. For these exoplanets, missing even a single transit can result in t0 uncertainties of several days. With that level of error, subsequent follow-up becomes impossible and the planet is essentially lost, barring another long-term, dedicated transit survey covering the same portion of sky.

Kepler-421b, which resides near its system's snow-line, is an excellent test case for theories involving planetary formation and evolution (e.g., Öberg et al. 2011). Atmospheric characterization of this cold exoplanet may constrain its mass (e.g., de Wit & Seager 2013) or offer details about ongoing processes such as photochemistry (e.g., Dalba et al. 2015). However, Kepler-421's faintness (J = 12 mag) and Kepler-421b's small transit depth (∼0.3%) make it a challenging target for transmission spectroscopy with the Hubble Space Telescope (HST). Even if its cold (Teq = 185 K) atmosphere contains gaseous methane, which has an absorption feature at 1.4 μm (within the sensitivity of the Wide-Field Camera 3), it is unlikely that a high confidence detection could be obtained in a single transit. Maintaining a precise transit ephemeris into the era of the James Webb Space Telescope (JWST) is therefore vital for future attempts to study Kepler-421b.

In the near future, the Transiting Exoplanet Survey Satellite is expected to find around a half-dozen planets with radii of 6–22 R and periods of several hundred days (Sullivan et al. 2015). Some of these planets may be candidates for follow-up observation, but the process of confirmation and characterization will require several years at least—perhaps longer than the guaranteed five-year lifetime of JWST. In this way, Kepler-421b offers one of the best opportunities to investigate the unknown parameter space of long-period giant exoplanets.

The authors thank the anonymous referee for a thoughtful critique of this work. The authors also thank Brian Taylor and the DCT telescope operators for their assistance with the observations, and Bryce Croll, Andrew Vanderburg, Phillip Phipps, and Mark Veyette for helpful conversations involving the strategy and analysis of the observations.

This research made use of the DCT at Lowell Observatory, supported by Discovery Communications, Inc., Boston University, the University of Maryland, the University of Toledo, and Northern Arizona University. The LMI was funded by the National Science Foundation via grant AST-1005313.

This research made use of the NASA Exoplanet Archive, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program.

This research made use of analytic transit models based on the formalism from Mandel & Agol (2002) and adapted for Python by Laura Kreidberg.

Facilities: Discovery Channel Telescope (Large Monolithic Imager) - .

Footnotes

  • KOI-1274, KIC-8800954, α = 283fdg256810, δ = +45fdg087780.

  • BKJD is defined by BJD = BKJD + 2454833.0 where BJD is the Barycentric Julian Date.

  • All theoretical transit curves were simulated using the analytical relations of Mandel & Agol (2002).

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