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DISCRIMINATING BETWEEN CLOUDY, HAZY, AND CLEAR SKY EXOPLANETS USING REFRACTION

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Published 2014 October 16 © 2014. The American Astronomical Society. All rights reserved.
, , Citation Amit K. Misra and Victoria S. Meadows 2014 ApJL 795 L14 DOI 10.1088/2041-8205/795/1/L14

2041-8205/795/1/L14

ABSTRACT

We propose a method to distinguish between cloudy, hazy, and clear sky (free of clouds and hazes) exoplanet atmospheres that could be applicable to upcoming large aperture space- and ground-based telescopes such as the James Webb Space Telescope (JWST) and the European Extremely Large Telescope (E-ELT). These facilities will be powerful tools for characterizing transiting exoplanets, but only after a considerable amount of telescope time is devoted to a single planet. A technique that could provide a relatively rapid means of identifying haze-free targets (which may be more valuable targets for characterization) could potentially increase the science return for these telescopes. Our proposed method utilizes broadband observations of refracted light in the out-of-transit spectrum. Light refracted through an exoplanet atmosphere can lead to an increase of flux prior to ingress and subsequent to egress. Because this light is transmitted at pressures greater than those for typical cloud and haze layers, the detection of refracted light could indicate a cloud- or haze-free atmosphere. A detection of refracted light could be accomplished in <10 hr for Jovian exoplanets with JWST and <5 hr for super-Earths/mini-Neptunes with E-ELT. We find that this technique is most effective for planets with equilibrium temperatures between 200 and 500 K, which may include potentially habitable planets. A detection of refracted light for a potentially habitable planet would strongly suggest the planet was free of a global cloud or haze layer, and therefore a promising candidate for follow-up observations.

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1. INTRODUCTION

Transit transmission spectroscopy is an observational technique that can be used to characterize a planet's atmosphere as it transits its host star. This technique has been used to identify absorption features in some exoplanet atmospheres (Charbonneau et al. 2002; Vidal-Madjar et al. 2003; Barman 2007; Désert et al. 2008; Deming et al. 2013), but many planets have flat, featureless spectra (Kreidberg et al. 2014; Knutson et al. 2014). Flat spectra can be explained by either a high mean molecular weight (and thus small scale height) atmosphere or by the presence of high-altitude clouds or hazes, as is common in planets in our own solar system, and has been inferred for the atmospheres of some hot Jupiters (Sing et al. 2011, 2013). For GJ 1214b, even high mean molecular weight atmospheres have recently been ruled out, leaving very high altitude clouds or hazes as the only physically plausible explanation for the planet's spectrum (Kreidberg et al. 2014).

The James Webb Space Telescope (JWST) and large ground-based telescopes such as the European Extremely Large Telescope (E-ELT) will open up new avenues for characterizing transiting planets. Absorption features for an Earth-like or super-Earth planet could be detected in the near future with 200 hr of JWST in-transit observations (Deming et al. 2009; Misra et al. 2014), or with >20 hr of E-ELT in-transit observations (Hedelt et al. 2013; Rodler & López-Morales 2014). If there are clouds or hazes present in an atmosphere, they will limit the atmospheric levels that can be probed, making the targets less desirable for characterization. Therefore, it would be beneficial to have a method that could relatively rapidly discriminate between haze-free and hazy planets, which are not easily characterized even in extended transit transmission observations (Kreidberg et al. 2014).

Here we examine whether refractive effects on transit transmission spectroscopy could provide a more efficient way of discriminating between hazy, cloudy, and clear sky (free of clouds and hazes) atmospheres. Benneke & Seager (2013) propose that measurements of absorption wing steepness, or a comparison of the depths of multiple absorption bands, could be used to distinguish between cloudy/hazy and clear sky planets. Since both methods require relatively detailed characterization of absorption features, these techniques may not discriminate between a hazy and haze-free planet before considerable amounts of telescope time are used. In contrast, the refractive signal is independent of absorption features, and could be binned over a wide range of wavelengths, increasing detectability. While refraction can set a mid-transit maximum transit pressure (or minimum tangent altitude) that can be probed by transit transmission spectroscopy (García Muñoz et al. 2012; Bétrémieux & Kaltenegger 2014; Misra et al. 2014), refraction provides the deepest probe of an atmosphere pre- and post-transit (Misra et al. 2014) when it also generates a refractive halo around the exoplanet, increasing the observed flux (Sidis & Sari 2010; García Muñoz et al. 2012; García Muñoz & Mills 2012). Sidis & Sari (2010) derive analytic expressions for the halo brightness for both transparent atmospheres and atmospheres with extinction from Rayleigh scattering. García Muñoz et al. (2012) and García Muñoz & Mills (2012) examine the concept further by generating spectra of refracted light for the Earth and for Venus.

Here, we expand on previous work by showing that a detection of refracted light in a transit light curve pre-ingress and post-egress would preclude hazy atmospheres, because hazes tend to obscure the layers of the atmosphere that refract light to a distant observer. We show that this signal could be more readily detectable than spectral absorption features in some cases and could be valuable for selecting targets for more extended follow-up observations.

2. METHODS

2.1. Model Description

We used the refraction code that is described in detail in Misra et al. (2014) to calculate refraction angles for a suite of planetary atmospheres. Briefly, refraction is governed by a set of differential equations that we solve at each step along the path through the atmosphere using a Runge–Kutta integration scheme. Given the planetary radius, surface gravity, atmospheric composition, and pressure–temperature profile, the model calculates the angle of deflection due to refraction for a range of tangent altitudes.

We generated refractive light curves to calculate the amount of out-of-transit refracted light. We first determined whether or not each portion of the atmosphere (given as an altitude and angle along the annulus of the atmosphere) is illuminated at each time during the transit event, from half a transit length prior to ingress to half a transit length after egress, and then integrated over the entire atmosphere to generate the light curve.

We quantified the signal of refracted light as the difference in the average value of the transit light curve between two stages of the transit event. We chose a quarter of a transit length as the time bin to maximize the signal-to-noise ratio (S/N) for the majority of cases we examined. As can be seen in Figure 1, most of the refracted flux is seen in the quarter of a transit prior to ingress, so dividing the transit into longer stages would reduce the time-averaged signal. Stages with shorter durations could increase the time-averaged signal, but would have greater noise levels because of the shorter integration time. Refracted light brightness is more strongly peaked just outside of transit for planets with equilibrium temperatures (Teq, see Borucki et al. 2011 for definition) >600 K, but we find that even for these cases adopting a time bin of 5% of the transit length results in poorer S/N for Teq < 600 K and an increase in S/N by only a factor of ∼2 for planets with greater temperatures

Figure 1.

Figure 1. Pre-transit light curve for a 300 K Saturn-analog orbiting a Sun-like star from half a transit length prior to ingress to ingress. Refraction leads to an increase in flux prior to ingress (and subsequent to egress by symmetry). This particular case gives the greatest peak brightness for all cases orbiting Sun-like stars. We define the signal of refracted light as the average flux level in stage 2 (just prior to ingress) minus the average flux level in stage 1.

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2.2. Test Cases

We used a suite of planetary atmospheres to calculate the refracted light signal. These are shown in Table 1. We have selected a combination of solar system analogs as well possible super-Earth and mini-Neptune atmospheres to cover a wide range of potential planetary atmospheres. We assumed the H2-dominated atmospheres have a solar H/He ratio (90% H, 10% He) for simplicity, but the small change in the refractive index for different H/He ratios should have a negligible effect on our results. For the super-Earth and mini-Neptune planets, we ran our models on four test cases to span the most likely bulk atmospheric compositions: 100% N2, solar composition, 100% H2O, and 100% CO2.

Table 1. Planetary Atmosphere Test Cases

Planet Type Radius Composition Refractive Surface
(km) Index Gravity
at STP (m s−2)
Earth 6371 N2 1.00029 9.8
Super-Earth 12742 N2 1.00029 9.8
Mini-Neptune 12742 H2 1.00012 9.8
H2O super-Earth 12742 H2O 1.00026 9.8
CO2 super-Earth 12742 CO2 1.00044 9.8
Neptune 24622 H2 1.00012 11.1
Saturn 58232 H2 1.00012 10.44
Jupiter 69911 H2 1.00012 24.8

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Out-of-transit refracted light must be deflected by a large enough angle to be scattered into the beam to a distant observer. The characteristic angle of deflection (in radians) is ∼R*/d (where R* is the stellar radius and d is the planet–star distance) which is also half the angular size of the star, as seen by the planet. For example, half a transit length prior to ingress on the trailing side of the planet, light originating at the near and far limbs of the star would have to be refracted by R*/d and 3R*/d, respectively, to reach a distant observer. More than half a transit length prior to ingress, the required refraction angles would increase, and closer to ingress they would decrease.

Based on the qualitative description given above, the brightness of the refracted light signal depends on the angles of refraction at each altitude in an atmosphere and the planet–star geometry. The deflection of light by a planetary atmosphere can be calculated by our model from the atmospheric scale height, the planetary radius (Rp), and the index of refraction of the atmosphere. For each test case, Rp and the refractive index are given. The scale height is determined from the surface gravity, mean molecular weight of the atmosphere, and Teq. Surface gravity is given for each test case, and the mean molecular weight is determined by the composition. We ran our model simulations over a grid of isothermal atmospheres with Teq from 100 to 1000 K, covering a wide range of atmospheric scale heights. We chose to use isothermal atmospheres for simplicity after testing other temperature profiles with realistic tropospheric lapse rates and stratospheric temperature inversions and finding no significant difference in our results. The planet–star geometry is determined by Rp, R*, the impact parameter (b), and d. The impact parameter is the sky-projected distance at conjunction, in units of stellar radius (Winn 2011). To cover the full range of planet–star geometries, we ran our simulations over a range of values for b, planetary albedo, and stellar types from M9 to F5, constraining the stellar radius and luminosity.

Because our model does not explicitly calculate the effect of cloud and aerosol opacity, we simulated the effect of a cloud or haze layer by truncating the depth of the measurable atmosphere at a characteristic pressure layer. To determine appropriate pressure cutoff layers for the three main aerosol cases under consideration, we used our modeling results and examples of clouds and hazes in our own solar system to select pressure cutoffs at 1 bar (clear sky case), 0.1 bars (cloudy case), and 1 mbar (hazy case). We chose 1 bar as our clear sky pressure cutoff because at pressures ⩾1 bar, our modeling indicates that atmospheres within the range of compositions under consideration are optically thick near 1 μm (the central wavelength for our transit simulations) when only Rayleigh scattering is included. For the pressure cutoff for cloudy atmospheres we chose 0.1 bars, which is a characteristic lower pressure limit for the tropopause for atmospheres of a range of different compositions (Robinson & Catling 2014), and the majority of clouds are found within a planet's troposphere. Lastly, we chose 1 mbar as the hazy pressure cutoff because hazes are typically generated via photochemistry in the upper atmosphere at pressures near 1 mbar. For example, at 1 μm Venus is optically thick (τ = 1) in transit transmission at 90 km (∼0.1 mbar) (Ehrenreich et al. 2012) and Titan is optically thick at ∼240 km (<0.5 mbar) (Bellucci et al. 2009). Because hazes form at pressures <1 mbar in both a warm CO2-dominated atmosphere and a cold N2-dominated atmosphere, we chose 1 mbar as a reasonable cutoff for hazes over the parameter space we explore here.

2.3. Detectability

We used the publicly available exposure time calculators (ETCs) to estimate the S/N for detecting refracted light in a transit light curve with the JWST4 and E-ELT.5 We used the ETCs to estimate the noise at 1 μm with spectral resolving power (R) equal to 100 for stellar types from F5V to M9V. We chose the lowest resolving power available (R = 100 for the JWST ETC) because this technique does not require high resolving power, and could even be performed with broadband filter photometry if necessary. The input stellar spectra were Phoenix NextGen spectra with solar metallicities (Hauschildt et al. 1999) with the star placed at a distance of 10 pc. Given the parts per million (ppm) flux difference for refracted light and the estimated S/Ns from the ETCs, we calculated the out-of-transit integration time required to detect refracted light at a S/N > 3 over all Teq values for each planetary atmosphere and stellar type.

3. RESULTS

Table 2 shows the ppm flux change, and the required integration time, the number of transits, and the total time (from first transit to last) for detecting refracted light for each test case over the suite of parameters. The results shown here are for an albedo of 0.15, but results for other albedos are available online. Our results indicate that Saturn analog planets exhibit the most detectable refracted light of any of the cases because Saturn has a radius close to Jupiter's radius and a lower surface gravity, which increases the atmospheric scale height at a given temperature. The amplitude of the refracted light signal (as defined in Section 2.1) is no larger than half a scale height for all cases we have explored here. The maximum flux amplitude for planets orbiting Sun-like stars is 10 ppm for a 300 K Saturn analog. The other H2 cases have maximum amplitudes of 6, 4, and 2 ppm for the Jupiter, Neptune, and mini-Neptune cases, respectively. The greatest ppm signals are for planets orbiting around M9V stars, for which the signals can increase by nearly two orders of magnitude to 950 ppm for a 200 K Saturn analog.

Table 2. Refracted Light Signals

Planet Teq T* Atm. Albedo Flux Int. E-ELT Tot. Int. JWST Tot.
Type (K) (K) Type (ppm) Time (hr) Transits Time (yr) Time (h) Transits Time (yr)
Earth 400 5780 clear sky 0.15 0.13 4.77 1.0 0.3 999.00 781.2 231.9
Super-Earth 450 5780 clear sky 0.15 0.29 0.91 1.0 0.2 999.00 166.9 34.8
Mini-Neptune 250 5780 clear sky 0.15 1.98 0.02 1.0 1.2 27.65 2.0 2.4
H2O super-Earth 400 5780 clear sky 0.15 0.41 0.45 1.0 0.3 640.78 73.9 21.9
CO2 super-Earth 600 5780 clear sky 0.15 0.22 1.60 1.0 0.1 999.00 393.7 34.6
Neptune 250 5780 clear sky 0.15 3.79 0.01 1.0 1.2 7.58 1.0 1.2
Saturn 300 5780 clear sky 0.15 10.98 0.01 1.0 0.7 0.90 1.0 0.7
Jupiter 350 5780 clear sky 0.15 6.39 0.01 1.0 0.4 2.66 1.0 0.4

Notes. The E-ELT results were calculated assuming 50 spectral resolution elements could be binned over. Results shown here are for most favorable cases orbiting Sun-like stars.

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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Figure 2(a) shows the JWST out-of-transit integration time required to detect refracted light for the four H2-dominated atmospheres: Jupiter, Saturn, Neptune analogs, and the "mini-Neptune", all without clouds or hazes. For many of the Saturn and Jupiter-analog cases, refracted light could be detected in <10 hr of JWST time. This integration time can be achieved in 1 transit for Jupiter and Saturn-analog planets with Teq < 600 K orbiting F, G, and K stars, and in <5 transits for Teq < 400 K orbiting M dwarfs. For cases in which multiple transits are required, the total time from first transit to last is <1 year, and typically <6 months. Figure 2(a) shows our results for b = 0.0, with observing times required increasing by 1% for b = 0.2, 10% for b = 0.6, and 30% for b = 0.9.

Figure 2.

Figure 2. (a) JWST integration time required to detect refracted light for H2-dominated atmospheres. The results assume that observations are made at 1 μm with R = 100, for a planet at a distance of 10 pc. The planets with the most detectable refracted light signal are those with Teq < 600 K for solar-type stars and <400 K for M dwarfs. For many Jupiter- and Saturn-analog cases, refracted light could be detected with <10 hr of JWST time. (b) E-ELT integration time required to detect refracted light for N2 and H2 atmospheres, assuming that 50 wavelength bins can be summed over at R = 100. Refracted light is most detectable for the non-hazy atmospheres, and therefore could be used to distinguish between hazy and non-hazy worlds.

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Figure 2(b) shows the E-ELT integration time required to detect refracted light for super-Earth and mini-Neptune atmospheres with b = 0.0. We calculated the signal levels for N2, H2O, CO2, and H2 atmospheres, but only a comparison of N2 and H2 atmospheres is shown here. We find that refracted light could be detectable in <10 hr of E-ELT time for many of the clear sky atmospheres, and even some cloudy atmospheres. In contrast, detecting refracted light for a hazy exoplanet would require >100 hr for all the planetary atmospheres we considered. Here we have assumed that it is possible to bin over at least 50 spectral resolution elements. The justification for this is found in Figure 3, which shows the wavelength-dependent refracted light signal for 2 R planet with an Earth-like atmosphere. A larger change in effective radius at a given wavelength means a stronger flux from refraction prior to ingress or after egress. Between 0.8 and 1.35 μm—shortward of a major H2O absorption feature and where Rayleigh scattering opacities are small—there are ∼50 spectral resolution elements that could be summed. For Earth-analog atmospheres, there is a relatively large flux difference at all these wavelengths. Therefore, we consider binning over multiple spectral resolution elements to decrease the integration time to be a valid approach, at least for N2-dominated planets like Earth.

Figure 3.

Figure 3. Wavelength-dependent changes in the out-of-transit light curve for a 2 R super-Earth with an Earth-like atmosphere, represented as the change in effective radius (km). The spectra shown are the differences in the spectra between Stage 2 and Stage 1 of the transit (see Figure 1). This figure shows that the refracted light signal could be detected over a wide wavelength range, and that it should be possible to bin over multiple spectral resolution elements to reduce the integration time needed to detect refracted light.

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The greatest amplitude of refracted flux for the N2 super-Earth cases around a Sun-like star is 0.12 ppm for a 400 K planet. For the cloudy case, the maximum amplitude is 0.06 ppm at 200 K. The cloudy H2 cases have amplitudes between 0.2 and 1.0 ppm, but only for the very cold (<200 K) cases. The amplitudes for the hazy H2 cases are all below 0.025 ppm, and below 0.005 ppm for Teq >150 K. The number of transits required to detect refracted light with E-ELT is 1 for clear sky N2 super-Earths with Teq < 800 K orbiting F, G, and K stars, and <3 for Teq < 500 K for those orbiting M dwarfs. As with the Jupiter and Saturn analogs, three transits is, from the first transit to last, much less than a year and typically <3 months. Cloudy atmospheres with Teq < 250 K could exhibit detectable refracted light signals, but hazy atmospheres have largely undetectable refracted light signals except for some very cold (Teq = 100 K) cases.

4. DISCUSSION

A detection of refracted light implies a haze-free atmosphere because refracted light is much more detectable for a clear sky atmosphere than for a hazy one (see Figure 2(b)). However, discriminating between cloudy and hazy worlds could be more challenging. For example, for a 600 K N2 super-Earth orbiting a Sun-like star (and for the majority of parameter space), a null detection of refracted light would be consistent with either a cloudy or hazy atmosphere, with no apparent way to differentiate between the two. On the other hand, for a 250 K N2 Super-Earth orbiting a Sun-like star, both the clear sky and cloudy cases are consistent with a detection of refracted light. To disambiguate these results, one would need to quantify the refracted light, which would require more observing time. Overall, a detection of refracted light is indicative of a nonhazy atmosphere and, for some regions of parameter space, quantifying the refracted light flux could aid in uniquely discriminating between cloudy, hazy, and clear sky atmospheres.

The refracted light brightness is strongest for planets with Teq between 150–350 K, and is undetectable for very high temperature planets. For hot, close-in planets, the planet–star distance (d) is small, meaning that the characteristic deflection angle R*/d is large, and that large refraction angles are required to produce a strong refracted light signal. For Teq > 800 K, angles this large would require probing pressures greater than 1 bar, where most atmospheres should be opaque, meaning that atmospheric opacity results in low refracted light signals. For the coldest (Teq < 150 K) planets, d is large and the refraction angles for clear sky atmospheres are often much larger than R*/d. This results in more refracted light being observed further away from ingress and egress, increasing the average flux in Stage 1 relative to Stage 2 and reducing the overall detectability (see Figure 1).

In the near future, E-ELT could be used to identify nonhazy potentially habitable planets, which have 180 < Teq < 260 K (Kopparapu et al. 2013; Ravi Kopparapu, private communication). As shown in Table 2 and Figure 2, refracted light could be detectable with one transit with E-ELT, or <5 hr of out-of-transit E-ELT time for potentially habitable N2 dominated super-Earths orbiting F, G, and K stars. For planets orbiting M dwarfs, the required number of transits is typically less than two, with a total integration time of <5 hr. Hedelt et al. (2013) estimate that it could take up to 10 transits to detect H2O and CO2 for Earth-like planets orbiting F, G, and K stars with E-ELT using filter photometry, and Rodler & López-Morales (2014) find that it would take >20 hr of E-ELT time to detect O2 for Earth-like planets orbiting M dwarfs using high-resolution (R > 10,000) spectroscopy. These estimates are larger than the amount of out-of-transit E-ELT time necessary to detect refracted light for potentially habitable planets. Therefore, because refracted light could be more detectable than spectral absorption features, looking for refracted light to distinguish between hazy and non-hazy exoplanets could be a useful tool in selecting exoplanets for extended follow-up observations.

5. CONCLUSIONS

Increases in out-of-transit flux due to refraction prior to ingress and subsequent to egress could be detectable with <10 hr of out-of-transit observing time for Saturn and Jupiter-sized planets with the JWST and for super-Earths/mini-Neptunes with E-ELT. Detecting refracted light would be indicative of a haze-free atmosphere, and a quantification of the amount of refracted light could aid in distinguishing between cloudy and clear sky atmospheres for planets with equilibrium temperatures < 300 K. Because refracted light can, in some cases, be detectable with less than a few hours of out-of-transit observing time, this method could be an economical way of determining if an exoplanet is haze-free and therefore a good target for extended follow-up observations.

This work was performed by the NASA Astrobiology Institute's Virtual Planetary Laboratory, supported by the NASA Astrobiology Institute under Cooperative Agreement solicitation NNH05ZDA001C.

Footnotes

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10.1088/2041-8205/795/1/L14