Free Access
Issue
A&A
Volume 661, May 2022
Article Number A126
Number of page(s) 14
Section Planets and planetary systems
DOI https://doi.org/10.1051/0004-6361/202142984
Published online 25 May 2022

© ESO 2022

1 Introduction

The James Webb Space Telescope (JWST) Cycle 1 General Observers (GO) programme has approved observations of 17 rocky exoplanets1, with eight most irradiated on the list having -stellar temperatures large enough to sustain a molten surface crust. Close-in rocky planets, due to their short orbital periods, are readily found by survey missions like the Transiting Exoplanet Survey Satellite (TESS; Ricker et al. 2014). Because of their large day-side temperatures, which allow for formation of silicate atmospheres, lava planets are particularly interesting targets for follow up characterisation with infrared spectroscopy. Figure 1 showcases all currently confirmed <2 R (along with TESS candidates) transiting exoplanets with equilibrium -stellar temperatures above 1000 K (assuming zero albedo).

Extensive research has been conducted on silicate atmosphere formation and the possibility of their characterisation. Models by Schaefer & Fegley (2009) showed that silicate atmospheres would be composed primarily of Na, O2, and SiO. Based on their work, Miguel et al. (2011) studied the entire population of Kepler super-Earths and found that these atmospheres are likely to be diverse in their composition, which is strongly dependant on the given composition of the melt and the irradiation of the planet. By additionally considering radiative-transfer, Ito et al. (2015) investigated emission properties of irradiated super-Earths and discovered that their atmospheric temperature structure may be completely inverted. Their work also points to the possibility of characterising lava planets through the emission features caused solely by the presence of SiO.

It has also been proposed that because of their tenuous nature, silicate atmospheres may be prone to temporal evolution (Schaefer & Fegley 2009; Kite et al. 2016), as most volatile constituents could be driven to condense out in the cooler regions of the planet or even escape the atmosphere entirely. Because the atmosphere is essentially coupled to the underlying magma, atmospheric evolution could irreversibly change the composition of the melt. The effectiveness of this, however, is strongly dependant on the rapidity of material recycling in the interior (Kite et al. 2016). Following this, Nguyen et al. (2020) and Ito & Ikoma (2021) modelled evaporation-driven hydrodynamics with radiative-transfer and found that atmospheres dominated by SiO are much more likely to be stable against circulation and escape effects compared to ones dominated purely by Na. The current consensus is that silicate atmospheres may lack volatile Na and instead would be largely dominated by SiO or SiO2, both of which could be characterised through emission features.

Following the approach from Miguel et al. (2011) and Ito et al. (2015) and motivated by the possible evaporation evolution (Schaefer & Fegley 2009; Kite et al. 2016; Nguyen et al. 2020), we extensively modelled outgassed equilibrium chemistry and the atmospheric structure in order to investigate JWST observability for the shown short period rocky planets (Fig. 1). We put constraints on the current target list and indicate possible atmospheric features that could help characterise lava planets through low resolution spectroscopy. Our models are self-consistent, accounting for the changes in thermal structure caused by the chemistry, and were done with the inclusion of all up-to-date opacities that could potentially shape silicate atmospheres.

This paper is organised as follows. In Sect. 2, we describe our approach to modelling silicate atmospheres, including the use of outgassed equilibrium chemistry and radiative transfer methods. We present our findings for non-evolved atmospheres in Sect. 3.1. For evolved atmospheres, the results are outlined in Sect. 3.2. Section 3.3 highlights the results of models with different initial melt compositions. Overall implications and observability of silicate atmospheres are discussed in detail in Sect. 4. Finally, we conclude by summarising our key findings in Sect. 5.

thumbnail Fig. 1

Confirmed transiting short period exoplanets (including current TESS candidates) with radii <2 R and equilibrium -stellar temperatures >1000 K. Planets to the left of the ultra-short period (USP) line have orbital periods <1 day. Named planets are approved for the JWST Cycle 1 GO programme. The colour indicates the theoretical -stellar temperature of the planet. The marker size is proportional to the radius of the planet. Over 800 confirmed planets and more than 150 TESS candidates are displayed. The complete table of all shown planets with their parameters can be downloaded as supplementary material.

2 Methods

2.1 Outgassed chemistry

Sustained planetary surface magma will preferentially outgas its most volatile components and eventually equilibrate itself with the overlying vapour, forming a silicate atmosphere. We determine the total atmospheric elemental budget by using the published results of the melt-vapour equilibrium code MAGMA, which has been used to calculate outgassing on solar system bodies and exoplanets (Fegley & Cameron 1987; Schaefer & Fegley 2004, 2009; Miguel et al. 2011; Kite et al. 2016). Its output is determined by the given initial composition of the melt, surface temperature and evaporation percentage. The involved chemistry considers the oxides of: Al, Ca, Fe, K, Mg, Na, Si and Ti. We make the assumption that due intense irradiation from the host star, highly volatile elements (H, C, N, S) are completely void from the atmosphere. In such a case the atmospheric composition is controlled only by the continuous evaporation of the underlying melt and not by past accretion of volatiles (Schaefer & Fegley 2009; Kite et al. 2016).

Given the diverse population of stars, it is likely that melt compositions are highly varied. Approximations can be made from the particular host star (Brugman et al. 2021), this is however beyond the scope of this study. Bulk Silicate Earth (BSE) has been widely used in research of silicate atmospheres (Schaefer & Fegley 2009; Miguel et al. 2011; Ito et al. 2015; Kite et al. 2016). We adopt BSE as the main composition, but also briefly investigate a selection of other possible, silicate based melts. All used compositions are listed in Table 1.

In our models, the surface temperature is solved for the -stellar point, which is continuously adjusted using radiative-transfer methods that couple the surface and the overlying atmospheric layer (described in Sect. 2.2). This is process is done until convergence between the outgassed chemistry and thermal structure is achieved.

Kite et al. (2016) has shown that for atmospheres with stellar temperatures >2400 K, atmospheric evolution is faster than surface-interior exchange, implying that continuous evaporation would rapidly drive the surface magma composition away from its initial values. While we do not directly simulate loss of material from the atmosphere through condensation or escape, we mimic the process using continuous removal of the most volatile components from the system. As described in Schaefer & Fegley (2004), this is done in a step-wise manner, until a set percentage of total melt mass is lost. We explore continuous removal of up to 60% mass of the given melt composition.

With elemental abundances established, atmospheric chemistry is solved using the thermochemical equilibrium code FASTCHEM2 (Stock et al. 2018) in accordance with the thermal structure of the atmosphere. We consider the following neutral components: Al, AlO, AlO2, Al2O, Al2O2, Ca, CaO, Fe, FeO, FeO2, K, KO, K2, K2O, Mg, MgO, Na, NaO, Na2, Na2O, O, O1, O2, O21, O3, Si, SiO, SiO2, Si2, Ti, TiO, TiO2; as well as ions: Al+, Ca+, Fe+, K+, Mg+, Na+, O+, O-, O2+${\rm{O}}_{\rm{2}}^{\rm{+}}{\rm{,O}}_{\rm{2}}^{\rm{-}}$, Si+, Ti+, TiO+. The thermal data is compiled from Burcat NASA thermodynamics polynomial database3. We note that our inclusion of various components is only limited by the availability of thermodynamical data.

2.2 Temperature structure

We solve for the temperature structure using the radiative-transfer code HELIOS4 (Malik et al. 2017, 2019b). Profiles are converged to radiative-convective equilibrium consistently with the chemistry (convection has negligible effect for silicate atmospheres), assuming no surface albedo. The surface temperature itself is affected by the overlying atmospheric and is thus calculated according to the propagating flux. The exact implementation of the surface layer for rocky planets in HELIOS can be found in Malik et al. (2019a, Appendix A).

We consider 25 different opacity sources that could potentially affect the temperature structure, which the list of can be seen in Fig. 2. Atomic opacities (excluding Na) are calculated with the opacity calculator HELIOS-K5 (Grimm & Heng 2015; Grimm et al. 2021), for which we use the Kurucz (Kurucz 1992) line list database. Molecular opacities (excluding SiO) are sourced from the DACE6 database and/or computed with HELIOS-K. For both, atoms and molecules, we use Voigt fitting profiles. Following the methods from Grimm & Heng (2015); Grimm et al. (2021), we use a cutting length of 100 cm−1 for molecular species and no cutting for atomic species (excluding Na and SiO).

Since Na and SiO are likely to be major components of silicate atmospheres, we compute these opacities separately. Na opacity is calculated using the Vienna Atomic Line Database (VALD3) line list (Ryabchikova et al. 2015), approximated using Voigt profiles for all but the 0.6 μm doublet lines. For the doublet, standard Lorentzian fitting is inadequate. Instead, it is fitted using the unified line-shape theory of Rossi & Pascale (1985); Allard et al. (2007a,b). Our SiO opacity is constructed using the Barton et al. (2013) line list for the ground state transitions in the infrared and with the Kurucz (1992) line list for the A-X and E-X shortwave wavelength transitions.

We emphasise that these opacities are modelled with parameters applicable to atmospheres of stars and gas giants, where the background is dominated by H2 and He (Marley et al. 2021). There are no currently existing equivalent theories for silicate atmospheres. While we do find that inclusion such of pressure broadening may have non-negligible effects on the temperature structure, these are relatively minor for silicate atmospheres, typically resulting in less than ΔT = 100 K close to the surface, but otherwise nearly identical temperature–pressure profiles. To minimise the possibility of overestimation we take opacity values at lowest available pressures, resulting in Doppler-dominated solutions. Use of this assumption is one of the limiting factors of the current work, emphasising the need for future development of broadening theories for arbitrary atmospheres. The complete parameters and sources of all the opacities can be found in Table A.1.

The last thing to account for is stellar irradiation. For cooler stars (e.g., M dwarfs), blackbody stellar spectra inaccurately approximates shortwave energy flux. When dealing with high temperatures, shortwave absorption becomes an important factor in shaping the thermal structure of an atmosphere. We thus construct stellar spectra7 for each of the individual stars by combining PHOENIX models (Husser et al. 2013) with scaled shortwave MUSCLES spectra (France et al. 2016; Youngblood et al. 2016; Loyd et al. 2016). This method is only applied to low mass stars, with temperatures covered in the MUSCLES database. For any hotter stars we scale the shortwave VPL solar spectrum8, in combination with PHOENIX models. All opacities and stellar spectra are sampled at a resolution of λλ = 2000, accounting for wavelengths between 0.1 and 200 μm.

Table 1

Initial melt compositions.

thumbnail Fig. 2

Sampled opacities of a silicate atmosphere. Shown for a typical Bulk Silicate Earth melt composition with a surface temperature of ~2700 K and atmospheric pressure of 10−4 bar. The individual species indicate contributed absorption to the total opacity, with the minimum cutoff threshold of 5%. The upper panel shows temperature-specific absorption contribution relative to the maximum opacity for all wavelengths, with a minimum threshold of 10−10. The curve is fitted to indicate the maximum, wavelength-specific opacity for all temperatures. Note that the labelled temperatures are atmospheric, which represent the temperature of the melt.

2.3 Synthetic emission spectra

Dayside confinement makes silicate atmospheres poor candidates for low resolution transmission spectroscopy. However, the large temperatures make secondary eclipse observations much more feasible. We generate emission spectra using the radiative-transfer code petitRADTRANS9 (Mollière et al. 2019, 2020). Using the same opacities described in Sect. 2.2 we calculate the spectra at a resolution λλ = 1000 for wavelengths between 0.3 and 28 μm. In many cases, the spectra are convolved to a lower resolution for better readability. The explored wavelength range encompasses the coverage of all instruments of JWST.

For notable targets we assess JWST noise levels using PANDEXO10 Batalha et al. (2017), which is built on the Pandeia11 engine. We only simulate MIRI Low Resolution Spectroscopy (MIRI LRS with λλ ≈ 100) in slitless mode, as it is likely to be the most suitable mode for characterisation of silicate atmospheres. The wavelengths covered by the instrument are 5–12 μm.

3 Results

3.1 Bulk silicate earth atmospheres

3.1.1 Opacities and chemistry

The thermal structure in an atmosphere is shaped by wavelength dependant absorption of the incoming stellar radiation. Silicate atmospheres possess numerous different species that are good absorbers in the UV/Visible (shortwave) and infrared (IR) wavelengths. Generally, if the opacity at short wavelengths exceeds that of IR, the temperature of the absorbing region increases, causing an inversion to occur (Gandhi & Madhusudhan 2019; Malik et al. 2019b). In cases with no shortwave absorbers, efficient cooling through IR will cause the temperature to decrease with increasing altitude.

Figure 2 shows example opacities of the 25 absorbing species investigated in this study. All values are weighted to abundances of a non-evolved stage of an atmosphere, formed from a BSE melt. Values are shown for a pressure of 10−4 bar, a typical region where the photosphere begins to take shape. For each given temperature and wavelength, the opacity contribution is calculated relative to the total added opacity of all present species. Different species will dominate distinct wavelength regions, allowing us to easily track their effect on the thermal structure and emission spectrum.

Most ions, even though increasingly abundant in hot atmospheres, can be dismissed as potential absorbers. Their opacities are significantly lower in value compared to their neutral counterparts. There are exceptions to this, notably Fe+ and Ti+, that have meaningful inherent opacity; however, their outgassed BSE abundances are relatively small, and thus do not contribute to the models. On the neutral side, some of the strongest absorbers include Na and SiO, both of which have been noted in previous studies as potentially the most important constituents of silicate atmospheres (Schaefer & Fegley 2009; Miguel et al. 2011; Ito et al. 2015).

Most of Na opacity comes from the strong 0.6 μm doublet (see Fig. 2). For isolated atomic lines, the characteristics of line wings play a significant role in its opacity value. Wings are difficult to model as their exact broadening behaviour is dependent on collisions with the background species. The required theory for arbitrary atmospheres (non-hydrogen) is currently not well understood. In our case, the wings are modelled with an H2 atmosphere in mind, however, as explained in Sect. 2.2, pressure broadening effects are ignored. To avoid opacity overestimation, the wings are also trimmed at an arbitrary length. In terms of chemistry, Na is consistently the leading atmospheric constituent until about 3000 K, at which point it starts to become ionised. Yet, even at lower abundances, its strong opacity keeps it a major shortwave absorber. That said, because Na is the most volatile constituent of silicate atmospheres, its dominance may be short lived, as it is expected to be readily lost through escape and condensation away from the -stellar point. Evaporation results are outlined in detail in Sect. 3.2.

Silicon is the second most abundant element outgassed from the melt, mostly residing in the form of SiO. Its abundance is closely followed by SiO2. Contrary to Na, SiO is much less volatile and its abundance increases with increasing temperature. Its opacity is strong in both shortwave and IR regions. SiO shortwave band is strong enough to cause upper atmosphere thermal inversions even if other major shortwave absorbers are excluded. As discussed in Sect. 3.2, SiO long wavelength bands have distinct features that may prove very useful in characterising silicate atmospheres using low resolution spectroscopy. SiO2 is another major component of silicate atmospheres. It is only recently that the vast SiO2 molecular list, consisting of 33 billion transitions, has been computed (Owens et al. 2020). If sustained in gaseous phase, SiO2 abundance is expected to be nearly 10−3 in volume mixing ratio for atmospheres above 2500 K, about 2 orders of magnitude lower than the abundance of SiO. A significant region of the IR opacity is dominated by SiO2. As its bands do not overlap with SiO, the combination of the two molecules creates a unique spectral pattern. If SiO2 is sustained in the atmosphere as a gaseous species, it should be expected to be a major opacity source for all tenable silicate atmospheres.

Many other species are important contributors. Notably, MgO and TiO are crucial components that further shape the atmospheric structure. MgO is expected to be highly abundant for the entire temperature range with its opacity covering both shortwave and IR wavelength regions, acting as a greenhouse continuum. TiO is present at the higher temperature range and is one of the dominant shortwave absorbers in the upper atmosphere. Inclusion of both molecules strongly affects the temperature structure and the expected emission spectrum. Some other minor opacities that slightly influence the atmosphere include Al, Ca and Mg, but all can be dismissed if necessary.

In Fig. 2, the upper panel displays the total, wavelength and temperature dependant opacity. The contribution for the given temperature is represented by the colour intensity. The fitted curve shows which temperatures have dominant opacity values per each defined wavelength. At 10−4 bar and atmospheric temperatures above 2000 K, shortwave opacity will be greater than its longer wavelength counterpart. This imbalance will shape the temperature-pressure profile, causing an inversion to occur. This is only true for low pressures. When the pressure increases, molecules become more abundant, thus resulting in greater IR opacity. At high surface temperatures, the thermal structure of silicate atmospheres should be expected to have distinct regions with opposing temperature gradients.

thumbnail Fig. 3

Temperature-pressure profiles of confirmed lava planets with -stellar temperatures >1500 K. Calculated using non-evolved (0% fractional vaporisation) Bulk Silicate Earth compositions. All profiles are converged to radiative-convective chemical equilibrium using the opacities described in Sect. 2.2. The colour is indicative of stellar irradiation temperature.

3.1.2 Temperature-pressure structure

All temperature-pressure (T–P) profiles for lava planets with -stellar temperatures >1500 K are shown in Fig. 3. At 1500 K the atmosphere is extremely tenuous, sustaining just above 10−7 bar surface pressure. At these pressures the chemistry mainly consists of atomic, shortwave absorbers, resulting in large surface temperature jumps, but otherwise a nearly isothermal profile. Low pressure atmospheres are of little use for observations using low resolution techniques. However, because outgassed pressure scales exponentially with the temperature of the melt, at 2000 K it reaches nearly 10−3 bar. This pressure is enough to allow for more complex molecular composites, such as SiO, to exist in abundance. The effects of this are twofold. First, the increased total opacity pushes the photosphere away from the surface, eliminating the sharp temperature discontinuities. Second, at high pressures IR opacity becomes larger than the shortwave opacity, causing inversions to become confined only to the upper atmospheric regions.

At 2500 K, the IR opacity of silicate atmospheres increases stantially. The surface pressure now reaches 10−2 bar. Lower regions follow a dry adiabat, with a clear temperature minimum that is followed further up by an inversion. The temperature minimum, otherwise defined as the tropopause, is a good indication of the average photospheric pressure level. Without modelling emission features, one should expect to see strong contributions from the regions just above and below the tropopause.

Increasing the temperature further will render the atmosphere completely opaque in shortwave and IR wavelengths. Regions below the photosphere are trapped, no longer efficiently radiating. This results in a deep isothermal layer that is inaccessible to observations. While models indicate that at 4000 K the surface pressure would equate to 10 bar, it is unclear whether such strongly irradiated systems could be sustained. It is very likely that the large deposition of irradiation would result in rapid loss of material caused by erosion (Owen & Wu 2017; Owen 2019).

Observable emission features depend on the probed thermal structure of the atmosphere (Zilinskas et al. 2021). The shape of the T–P profile is determined by the shortwave/IR absorption of stellar irradiation. The spectral energy distribution coming from hotter stars is much more weighted towards shorter wavelengths. As opposing to cooler stars that peak in IR wavelengths, emitting only a small fraction of energy in the UV/Visible. Figure 4 demonstrates how the inversion strength scales with temperature of the host star and the -stellar surface temperature of planet, which, for BSE, is generally within 50 K of the predicted theoretical value Teq12. Inversion strength is defined by the ratio of the maximum temperature achieved in the model to the temperature of the surface. In most cases, the maximum temperature coincides with the uppermost regions (10−7–10−5 bar), whereas the surface temperature is close to the minimum temperature achieved in the entire atmosphere. We find that inversion strength scales linearly with the temperature of the host star. Thermal inversions will be strongest around hot G and F stars. Planets around cool M or K dwarfs will only experience mild inversions, as evident from purple TP profiles in Fig. 3. Inversion strength is anti-correlated with the surface temperature of the planet. This is attributed not only to the increased chemical complexity and opacity that occurs with greater pressures (larger melt temperatures), but also to thermal dissociation and ionisation of important absorbers, e.g., Na or SiO. Inclusion of photochemical destruction would likely result in even weaker thermal inversions.

thumbnail Fig. 4

Thermal inversion strength relation with the temperature of the stellar host and the -stellar temperature of the planet. Inversion strength is the ratio of the maximum atmospheric temperature with the surface temperature of the planet. In most cases the maximum temperature coincides with the uppermost regions. Inversions become greater with increasing stellar temperature and is anti-correlated with the temperature of the planet. Silicate atmospheres become fully opaque at around 2600 K surface temperature, causing a change in atmospheric structure (isothermal lower layer), indicated via clustered planets separated via a distinct gap.

3.1.3 Observability

The high sensitivity and large spectral coverage (0.6–28 μm) of the JWST will make characterisation of lava planets achievable. While the tenuous and confined nature of silicate atmospheres render low resolution transmission spectroscopy methods, which rely on atmospheric scale height, unreliable, the scorching day-side temperatures and orbital periods of less than a day make multiple orbit, thermal emission spectroscopy ideal. In addition to outgassed chemical signatures, thermal emission directly probes the temperature structure of the atmosphere, giving us insight into the atmospheric dynamics and occurring radiative processes.

How good a planet is for silicate atmosphere characterisation is determined by several important factors. First, the planet itself has to be of large enough surface temperature to outgas and sustain a stantial atmosphere. Planets with -stellar temperatures below 2500 K have pressures lower than 10−2 bar, which is barely enough to start forming a photosphere. Ideally, a stellar temperature of nearly 3000 K is required to produce an atmosphere that would show large flux deviations from expected blackbody emission. The flux ratio between the planet and the star has to be also large enough to be detectable. This renders a large portion of currently known systems, where the star is too hot or too large in comparison to the planet, unsuitable, even in the IR, where most of the planetary emission comes from. Lastly, the observed system has to be bright enough to have reasonable noise levels, but not so bright that it would saturate the sensors. For MIRI LRS, the saturation limit is expected to be around 5–6 J magnitude (Beichman et al. 2014). The lower observable limit for the instrument is likely to be around 9–10 J magnitude. MIRI LRS mode itself has spectral capabilities between 5 and 12 μm, making it the ideal mode for characterising the presence of the 9 μm SiO feature that has been previously shown to be possibly the best, if not the only characterizable feature of silicate atmospheres (Ito et al. 2015).

In Fig. 5, we showcase the observability distribution of all modelled lava planets in terms of the above mentioned criteria. Majority of planets are too dim and too cold to be considered for the JWST observations, however, there are some excellent targets, as well as several TESS candidates that should be considered. The standout, TOI-1807 b, is a recently discovered super-Earth orbiting a K dwarf (Hedges et al. 2021). In the provided sample, it is by far the best candidate for atmospheric characterisation. Its stellar host is comparatively cool and small, resulting in expected planetary flux from the dayside relative to the stellar flux (i.e. eclipse depth) at 9 μm of over 400 ppm. The -stellar temperature of the planet is expected to be just over 3000 K which would result in an outgassed atmosphere of 10−1 bar (BSE melt with Na). In addition, with a J magnitude of 8.1, the system falls perfectly within the range of sensitivity for MIRI LRS. Simulated noise levels for 20 h of observations (3 eclipses, binned to R = 10) are just 21 ppm. TOI-1807 b is an exceptional target with no current equal alternatives.

In terms of dayside flux, the closest two planets to TOI-1807 b are K2-141 b and TOI-2431 b13. As their -stellar temperatures are comparable to TOI-1807 b, both of the planets are also expected to possess stantial silicate atmospheres. With both systems being reasonably bright for the JWST and emission flux reaching nearly 300 ppm, these planets are good candidates for follow up characterisation. K2-141 b is a well studied target (Barragán et al. 2018; Malavolta et al. 2018; Nguyen et al. 2020; Zieba et al. 2022) and is even approved for JWST GO Cycle 1 programme for over 20 hours with MIRI LRS (Dang et al. 2021) and 12 hours with NIRSpec (Espinoza et al. 2021). While TOI-2431 b has not been selected for the JWST observations, it may prove to be just as good of a target as K2-141 b for future proposals.

Other notable targets within the brightness limits of MIRI LRS include: a 3300 K super-Earth orbiting a sun-like star TOI-561 b; a similar but cooler, 2300 K super-Earth HD 3167 b and a very bright, 3000 K super-Earth HD 213885 b. HD 80653 b and Kepler-21 b are strongly irradiated planets that fall into the MIRI range; however, their secondary eclipse flux values are below 100 ppm, making atmospheric characterisation much more difficult. While GJ 367 b is a nearby -Earth that is also approved for JWST, its equilibrium temperature is lower than 2000 K, resulting in an outgassed atmospheric pressure of <10−4 bar. Such, relatively cool, targets are also unlikely to be good candidates for characterisation of silicate atmospheres.

55 Cnc e currently stands as the brightest known super-Earth. The planet has been under extensive investigation, with the current conclusion that it may harbour a thick, volatile-rich atmosphere, possibly dominated by nitrogen, carbon and/or oxygen bearing species (Demory et al. 2016; Angelo & Hu 2017; Zilinskas et al. 2020, 2021). Its high surface temperature makes it also likely to have a partially molten crust, which would result in a silicate-rich atmosphere. Currently, there is not enough spectroscopic data to determine the exact composition, however, the planet will be observed in thermal emission using NIRCam and MIRI LRS modes during JWST GO Cycle 1 (Hu et al. 2021). If successful, it would provide spectral coverage between 3.8 and 12 μm, potentially revealing its atmospheric composition and thermal structure. The large brightness of the system may result in oversaturation, partially hindering the recovery of the full spectrum.

Among all of these targets there is a number of yet to be confirmed TESS candidates. As can be seen in Fig. 5, many of these have expected sub-stellar temperatures of 2500 K or more, have fluxes of over 100 ppm and lie perfectly within the sensitivity range of the MIRI LRS mode.

Figure 6 shows synthetic spectra of four selected planets: HD 213885 b, 55 Cnc e, K2-141 b and TOI-1807 b. While also being good targets, these planets cover a range of different eclipse depth values. The spectra are generated for the range of 0.3–28 μm. The wavelengths covered by the MIRI instrument are between 5 and 28 μm. However, MIRI LRS mode already covers the sufficient range (5–12 μm) for the major silicate atmosphere features. Thus, the error bars are simulated only for the MIRI LRS slitless mode assuming 20 h of observations and binned to a resolution of R = 10. All four planets have surface temperatures of around 3000 K, with 55 Cnc e being slightly on the cooler side, but they vary strongly in brightness and emission flux. K2-141 b and TOI-1807 b orbit cooler K stars, resulting in weaker thermal inversions, but otherwise similar thermal structure. Their respective temperature profiles are given in the top left inset of the figure.

While these atmospheres are filled with many strong absorbers, the only two relevant species that have broad, visible features are SiO and SiO2. SiO is expected to be the major constituent of all silicate atmospheres. Equilibrium chemistry shows that it is consistently abundant throughout the entire atmosphere, making its opacity relevant even for upper regions, where thermal inversions take place. SiO has a strong 9 μm band that is 3.5 μm wide. Because its opacity comes from higher up in the atmosphere, the feature shows up as increased flux. As inversions become weaker with increasing sub-stellar temperature of the planet (see Fig. 4), the magnitude of SiO features will be diminished for the hottest targets. The bands of SiO2, however, do not manifest as emission, but rather as absorption. SiO2 is mostly confined to the lower, cooler layers of the atmosphere. Its 7 μm SiO2 band does not overlap with SiO, creating a large contrast between the two molecules. The combination could prove to be the best characterisable feature of silicate atmospheres, allowing to probe distinct thermal regions of the atmosphere.

In Fig. 7, we show the opacity contribution for the atmosphere of TOI-1807 b. Intensity shaded pressures represent the photosphere being probed by emission spectroscopy. The opacity of the 9 μm SiO feature is not confined to single atmospheric pressure, but rather becomes non-negligible at pressures as low as 10−6 bar, extending for several orders of magnitude downwards. On the contrary, SiO2 is confined to a region that is less than order of magnitude wide. At 10−3 bar, it mostly coincides with the minimum of the temperature profile, which results in an absorption feature. Going further beyond of the 9 μm SiO band, the opacity comes mostly from MgO, which acts more or less as a continuum for silicate atmospheres. As with SiO2, its presence is also mostly confined to the lower temperature regions. Apart from the small flux change at 13 μm, MgO does not have any distinct features. If MgO was absent from the atmosphere, beyond 9 μm the spectrum would instead show absorption of SiO2, which has a distinctive band between 11 and 16 μm.

While there are additional strong shortwave absorbers, such as Na and TiO, their spectral features are extremely minor and likely undetectable with low resolution spectroscopy. Even the 0.6 μm Na doublet results in only slightly increased flux. In this study we omit pressure broadening effects, which can result in broader Na features, but even then its characterisation might prove difficult. Note that this is only true for this particular case. Other outgassed compositions can have increased abundances of shortwave absorbers, resulting in stronger emission features (see Sect. 3.3.

thumbnail Fig. 5

Emission observability of lava planets using the JWST MIRI LRS slitless mode. Flux ratio is computed using radiative-convective models with temperature profiles shown in Fig. 3. The flux is given for a wavelength of 9 μm, where the presence of SiO is expected to cause a broad emission feature. Error bars are simulated for 20 h of observations (3 eclipses) and binned to R = 10. The highlighted region indicates the optimal magnitude range for the MIRI LRS mode. The colour of each planet denotes its -stellar temperature. Ideal targets have high flux ratio, large surface temperature and fall between 9.5 and 5.5 J magnitude.

thumbnail Fig. 6

Synthetic emission spectra of four selected lava planets with outgassed silicate atmospheres: HD 213885 b, 55 Cnc e, K2-141 b and TOI-1807 b. The spectra are computed for the entire JWST wavelength range and convolved to a resolution of R = 800. The blue curves denote blackbody emission of numerically converged surface temperature. Corresponding temperature profiles for each planet are shown in the inset. Error bars are simulated for the JWST MIRI LRS mode, assuming 20 h of observations (3 eclipses) and binned to R = 10. The indicated MIRI coverage region includes both, low resolution and medium resolution modes. Shaded SiO (9 μm) and SiO2 (7 μm) are likely to be strongest characterisable features of silicate atmospheres. Note that SiO also has an additional band between 4 and 5 μm, however, its magnitude is, in most cases, small. The noise at 4–5 μm is an artefact of generated synthetic stellar spectra.

thumbnail Fig. 7

Opacity contribution of an outgassed silicate atmosphere for TOI-1807 b with a non-evolved (0% fractional vaporisation) Bulk Silicate Earth melt composition. Intensity shaded pressures indicates optically thick regions. All marked species are major contributors of the denoted wavelengths. The corresponding temperature profile and the resulting spectrum are shown in Fig. 6.

3.2 Evolved atmospheres

As shown by circulation models in Kite et al. (2016), planets with -stellar temperatures >2400 K are likely to be ‘atmosphere-dominated’, meaning that the surface melt composition is dragged away from its initial state by atmospheric evolution itself. This is a direct consequence of material being lost from the atmosphere either through escape to space or being carried to the cooler regions and condensing out from the system. For strongly irradiated planets this evolution is rapid and is expected to outpace mass recycling between the interior and the surface melt.

In the outgassing code, MAGMA, atmospheric evolution is simulated with fractional vaporisation. It is essentially sequential removal of the most volatile constituents until a set percentage of the total mass has been removed from the system. Na is the most volatile component and is in all cases rapidly lost. At 3000 K -stellar temperature its abundance becomes vanishingly small at less than 10% removed material. Because it is a major vapour, its removal causes a large drop in atmospheric pressure, as well as decrease in shortwave opacity. Continuing the evolution, abundances of K and Fe elements slowly decrease, but neither are completely removed when the melt temperature is 3000 K. Si is also lost from the system, albeit much more slowly. While volatile species are reduced, the dominance of refractory elements grows. Abundances of Mg, Ti, Ca and Al all steadily increase. Appendix B contains figure for the evolution of major atmospheric abundances with fractional vaporisation. Readers looking for a much more detailed analysis of fractional vaporisation and possible removal of volatiles are directed to Schaefer & Fegley (2004, 2009); Kite et al. (2016).

Figure 8 showcases T–P profiles at 60% fractional vaporisation, for surface temperatures larger than 2000 K. The faint background curves indicate TP profiles with no vaporisation (from Fig. 3). Depletion of Na has the largest effect on the thermal structure, causing the pressure to drop nearly two orders of magnitude at -stellar temperatures near 2000 K. At higher temperatures, Na is less dominant, hence its removal has a lesser effect on the total vapour pressure. However, in all cases, its shortwave opacity is completely removed, causing thermal inversions to weaken. With removal of volatiles, MgO becomes more abundant, causing the photosphere and the temperature minimum to shift upwards to lower pressures. The surface temperature of the planet is also affected by the changes in opacity, resulting in a greenhouse effect of up to 200 K. The severity of this is greater for hotter planets that are ject to stronger shortwave irradiation.

The resulting differences in emission spectra are indicated in Fig. 9. The coloured spectra represent the original, non-evolved cases. The black spectra show 60% fractional vaporisation models. While differences seem small, we find that planets around cooler stars will have their spectral features severely diminished. This is the combined result of the temperature profile shifting closer to an isotherm (reduced inversions), as well as decreased abundances of the absorbers, e.g., SiO and SiO2. The spectra now coincide closely with the expected lower blackbody emission limit. The effect is slightly lesser for planets around hotter stars, but generally similar. Needless to say, removal of Na removes any possible emission from 0.6 μm doublet. Different vaporisation percentages show similar results, with the general trend of spectral features disappearing and the spectra moving closer to blackbody emission. If the effects of vaporisation are prominent on lava worlds, it would make characterisation of their atmospheres with low resolution spectroscopy much more demanding.

thumbnail Fig. 8

Temperature profiles of evolved silicate atmospheres with -stellar temperatures >2000 K, computed for a Bulk Silicate Earth composition with 60% fractional vaporisation. All profiles are converged to radiative-convective chemical equilibrium using the opacities described in Sect. 2.2. Stellar irradiation temperature colour coded. Faint curves indicate temperature profiles for non-evolved cases, (0% fractional vaporisation) originally in Fig. 3.

thumbnail Fig. 9

Emission spectra of same four planets as in Fig. 6, but now showing the differences caused by fractional vaporisation. Coloured curves indicate atmospheres with no fractional vaporisation, while black curves show atmospheres vaporised to 60%. All cases are for Bulk Silicate Earth melt composition shown at R = 800. Corresponding temperature profiles for each case are shown in the inset. Blue shaded regions now denote blackbody emission boundaries between the converged surface temperature of non-evolved and evolved models.

3.3 Atmospheres of varying melt compositions

The bulk composition of lava planets can be estimated from their measured density (Dorn et al. 2015), the properties of the specific host star (Santos et al. 2017; Putirka & Rarick 2019), or even from polluted white dwarfs (Klein et al. 2011; Putirka & Xu 2021). However, besides inherent degeneracy of interior models complicating the matter, the formation history of the planet can also strongly affect the composition (Bond et al. 2010; Carter-Bond et al. 2012). If the predictive assumption of silicate atmospheres is correct, determining atmospheric abundances from observations could allow for better constraints on melt compositions and possibly interiors. Until then, our best examples come from our own solar system.

Hart & Zindler (1986) introduced the term Bulk Silicate Earth, representing the combined composition of the early Earth’s crust and mantle, which excludes the iron-rich core. While strongly irradiated rocky worlds may resemble early Earth, currently there is no evidence for it. Thus, besides BSE, we consider several other viable melts that vary in their oxide ratios.

Listed in Table 1 are: BSE, Continental, Oceanic, Komatiite, and Mercury. Continental and Oceanic represent parts of the Earth’s upper lithosphere, which formed from the molten silicate mantle. Compared to BSE, both compositions are stantially less dominated by Mg oxides, but much richer in Si, Al, Na, and Ti. Oceanic contains a large amount of Ti and Ca, while Continental is more enriched in K. It has been argued the Komatiite lava, erupted on the early Earth, might be more representative of molten, more massive Earths (Miguel et al. 2011). Komatiite is resembled by BSE, but with slightly higher Si and lower Mg content, while also being much more rich in Fe. Mercury melt is uniquely poor in Fe and due to its close formation proximity to the Sun, it is essentially void of two most volatile components, Na and K. Its composition is otherwise similar to Komatiite.

Resulting atmospheric abundances for each of the compositions are indicated in Fig. 10. The selected cases are for 55 Cnc e, with -stellar temperature ranging between 2600 and 2800 K. The showcased species are all major absorbers of silicate atmospheres.

BSE and Komatiite melts result in nearly identical atmospheric abundances and structure. This is not surprising, since the two melts have very similar volatile reservoir. While Komatiite does have lower Mg content, diminishing atmospheric pressure, its higher Fe abundance counteracts this effect. In terms of characterisation, the two compositions are essentially identical.

With Mercury having nearly depleted NaO and K2O in the melt, the results are somewhat similar to the previous compositions. Na is so volatile that even a small fraction of it in the melt results in it being a major outgassed species. Partial pressures are now more evenly divided between all different elements (normally dominated by just Na or SiO). Since this melt is less volatile, it results in slightly lower total pressure.

The two compositions that stand out from the rest are Oceanic and Continental (crustal melts). Differences are caused mostly by their lack of MgO and high abundance of TiO. Even while the crustal melts are much more abundant in Na, diminished MgO leads to a stantial pressure drop and much lower surface temperatures. Oceanic composition pressure is still largely dominated by Na, whereas SiO is leading for Continental. Crustal compositions are uniquely rich in TiO, enhancing shortwave absorption in the upper atmosphere. Both compositions, in general, have much greater shortwave opacity, resulting is stronger inversions. Altogether, we find that the variation in melt composition results in moderate thermal structure and atmospheric abundance changes.

The caused spectral differences are given in Fig. 11. The three displayed planets are TOI-1807 b, 55 Cnc e, and HD 80653 b; picked to cover a range of different stellar and planet surface temperatures. The TP profiles (shown in the inset) vary only slightly between the bulk compositions (BSE, Komatiite and Mercury), but are differentiated from crustal melts (Continental, Oceanic), which cause a stantial change in the structure of the lower atmosphere. This is reflected in the black-body emission range, indicated via shaded blue region, which is now much larger than in previous cases (see Figs. 6 and 9). The differences are smaller for planets orbiting cooler stars, implying that the change in shortwave opacity is the most likely cause in this discrepancy.

From emission, bulk compositions are likely to be indistinguishable with low resolution spectroscopy. However, outgassed crustal atmospheres have large enough differences to be possibly identifiable. Crustal compositions have stronger inversions and larger SiO abundance, which directly results in more contrasting 9 μm SiO2/SiO features. For bulk atmospheres these features are followed by continuous absorption of MgO. But in crust-like atmospheres MgO is expected to be severely depleted. Since SiO2 has a distinct band between 11 and 16 μm, its opacity may replace MgO. Its features would show up as absorption, coming from the lower regions of the atmosphere. Detected SiO2 features over MgO would imply that the planetary atmosphere is being outgassed from an Earth-like crust. Such melts are also very enriched in Ti, which results in a larger atmospheric abundance of TiO. TiO is a strong absorber <0.9 μm. In our models its presence causes a relatively large, continuous increase in flux, which may indeed be observable for the very best targets with the JWST.

The situation is similar for evolved atmospheres. Figure 12 indicates melts with 60% fractional vaporisation. Removal of volatile inventory causes atmospheric composition to be more dominated by MgO and TiO, resulting in increased temperatures. Vaporisation causes much larger atmospheric structure difference between the two classes of melts, with the total vapour pressure reduced significantly for crustal compositions. As abundances of Si composites drop and inversions become weaker, its features are also diminished. However, unlike for bulk melts, atmospheres produced from crustal melts still have a strong 9 μm SiO feature. While SiO2 is still present in the atmosphere, its detection in evolved atmospheres may be hindered for all plausible compositions. TiO features are never removed with vaporisation, as its abundance always grows.

thumbnail Fig. 10

Volume mixing ratio of silicate atmospheres outgassed from Komatiite, Continental, Oceanic, Mercury and BSE melts for 55 Cnc e, with a surface temperatures close to 2700 K. Exact melt compositions are given in Table 1. The five listed species have the dominant opacities that shape the thermal structure and emission spectrum of the atmosphere. Depending on the exact surface temperature and volatile content, the total outgassed pressure will vary between different melts.

thumbnail Fig. 11

Emission spectra for different melt compositions at R = 800. The shown planets are: TOI-1807 b; 55 Cnc e; HD 806563 b. For each planet different colours indicate varying melt compositions, while the black curves represent Bulk Silicate Earth melts. Corresponding temperature profiles for each of the compositions are show in the inset. The blue shaded region represents variation in surface temperature, which in this case is largest between Bulk Silicate Earth and Oceanic comps.

thumbnail Fig. 12

Same as Fig. 11, but for 60% vaporised melts shown at R = 800. For each planet, different coloured curves represent different melt compositions. The blue shaded regions represent blackbody emission boundaries between Bulk Silicate Earth and Oceanic compositions. Temperature profiles are given in the inset.

4 Discussion

4.1 Characterising lava worlds

Current theory predicts that lava planets are either leftover remnant cores of -Neptunes, eroded away by intense irradiation, or are simply formed as rocky worlds, without accreting much volatiles (Owen & Wu 2017; Lopez 2017). Whether these planets form in situ or are scattered inwards through gravitational interactions is unclear (Ogihara et al. 2015; Winn et al. 2018). While there are several observed USP planets inconsistent with volatile-free atmospheres (namely 55 Cnc e; Demory et al. 2016; Hammond & Pierrehumbert 2017), most are found to have densities similar to that of Earth (Dai et al. 2019). It is expected that the permanently irradiated dayside will outgas and sustain a silicate-rich atmosphere (Miguel et al. 2011). Characterisation of short period planets is an intriguing next step in the exoplanet field. JWST will provide much needed spectral coverage to make this possible. The outstanding issue is what exactly do we look for.

Previous studies have put forward SiO as the primary detectable species in silicate atmospheres (Schaefer & Fegley 2009; Miguel et al. 2011; Ito et al. 2015). As Ito et al. (2015) argue, due to strong thermal inversions, the 9 μm SiO band would show up as a significant increase in flux coming from the planet. In our models thermal inversions are not as prevalent and mostly confined to just the upper regions. The discrepancy is mainly due to our inclusion of up-to-date opacities while also using more accurate stellar irradiation and self-consistent radiative-transfer models. However, because SiO opacity is so dominant, it becomes significant even in very low pressures, where inversions do occur. Thus we still see the 9 μm SiO band as emission, though to a much lesser extent.

The additional inclusion of SiO2 in our models indicates that it would manifest as absorption bands, possibly surrounding the 9 μm emission of SiO. SiO2 abundance increases significantly towards the lower parts of the atmosphere, which coincide with decreasing atmospheric temperatures. The combination of the two molecules at different atmospheric regions may prove to be unique, identifying features of silicate atmospheres. Detecting both as absorption and emission would allow us to put strong constraints on the temperature gradient. Presence of SiO2 may also indicate a lack of MgO, which can be tied to the composition of the melt. Lack of SiO2 could also suggest volatile depleted melts and/or possibly strong atmospheric dynamics.

Overall, we find that the variation of melt compositions and the stage of evolution (volatile material removal through escape or condensation) will impact characterisation. Depending on the melt composition, certain emission features may be strongly enhanced or completely removed. Melts that deviate stantially from the expected norm (crustal compositions) will result in large spectral differences. Variation caused by fractional vaporisation is also non-negligible. While with volatile removal the temperatures in the atmosphere are generally increased, the total pressures are lowered. Shortwave opacity reduction also makes inversions weaker. The combination of all these effects can result in the largest emission features, e.g., 9 μm SiO band, being reduced and certain bands entirely removed (SiO2 absorption). As inversion strength decreases with decreasing stellar host temperature, planets orbiting cooler M or K dwarfs may show weaker emission signs, if any at all. Hotter stars will prove to be much better candidates for observing emission features, however, their larger radii and increased temperatures weaken planetary signal, rendering majority of currently known targets unfavourable.

JWST instruments will allow us to easily distinguish between volatile-rich and silicate atmospheres. However, characterising spectral features in silicate atmospheres may only be possible at longer wavelengths. MIRI LRS instrument covering wavelengths between 5 and 12 μm is ideal for SiO and SiO2 bands. Its high sensitivity will allow for detection of absorption and emission features in just a few secondary eclipses. For the best possible outcome we recommend focusing on targets with expected -stellar temperatures larger than 2500 K, preferably orbiting K stars. Some of the best current targets for secondary eclipse observations with MIRI LRS include: TOI-1807 b, 55 Cnc e, TOI-2431 b, K2-141 b, HD 3167 b, TOI-561 b and HD 213885 b (see Fig. 5).

4.2 Melts and interiors

The two melts that may be observationally distinguishable from the rest are Earth’s oceanic and continental crust. The Earth’s oceanic crust is magnesium and iron-rich, dense, and relatively thin (~8 km); efficient recycling through the action of plate tectonics maximises the age of oceanic crust on Earth today to about 200 million years (White & Klein 2014). In contrast, the continental crust is richer in silicon and aluminium, less dense, and thicker (~40 km). Due to its low density, recycling of crust into the interior is far less efficient, which leads to the fact that parts of the continental crust on Earth today exceed 4 billion years in age (Ricker et al. 2014). Although the crust of the Earth (Oceanic + Continental) constitutes only ~0.6% of the mass of the present-day silicate Earth, it contains between 20% and 70% of the highly incompatible14 trace element budget (Rudnick & Fountain 1995). Hence, this explains the elevated Al2O3, CaO, Na2O, TiO2, and K2O values when comparing the crustal to the other melts in Table 1. For such crustal melts to co-exist, plate tectonics is likely required (Rudnick & Gao 2014). The presence of Earth-like plate tectonics in turn necessitate the presence of a weaker interior layer on which the plates can move, and liquid water is a likely prerequisite to form such a weak layer (e.g. Mierdel et al. 2007).

Observed spectral signatures correlating with these compositions could indicate that the planet in question has had a recent history of plate tectonics and hence the presence of liquid water. The fact that lava oceans are most likely well mixed with the mantle (Kite et al. 2016) means that the melting of the crust must have occurred very recently due to, for example, a recent giant impact or the host star entering the red giant phase. Therefore it is unlikely that such signatures will be found on targets that are believed to have a long-lived lava ocean. Alternatively, if such signatures are found then it may be an indication that the upper layers of the melt are chemically evolved in such a way that they resemble crustal composition or that the planet has a mantle with a unique bulk composition.

4.3 Limitations of 1D equilibrium models

There are obvious predictive limitations of 1D equilibrium models. This is especially true for lava planets where the atmosphere is likely to be confined to the permanently irradiated dayside. Away from the -stellar point, the sharp drop in temperature will induce an enormous pressure gradient, causing strong horizontal winds towards the nightside (Castan & Menou 2011; Kite et al. 2016; Nguyen et al. 2020). Material removed via winds is bound to condense at cooler regions, settling down onto the surface, where it may or may not be reincorporated into the out-gassing cycle via surface and interior transport. In this study, we have mimicked this effect to some extent using fractional vaporisation, but this is a very simplistic assumption. For a more accurate assessment of observability, 2D circulation models combined with simplified outgassed chemistry and radiative transfer may prove to be the reasonable next step.

Use of equilibrium chemistry models also ignores the potential effects of photochemistry and vertical mixing. Photochemical destruction/ionisation of strong absorbers, e.g., SiO or Na, may cause stantial changes in thermal structure and observability of the specific species. Decrease in shortwave absorption will result in weaker thermal inversions. This effect is apparent with evolved cases, where Na is removed from the system while SiO abundance is slightly reduced (Fig. 8). Approximations of SiO photochemistry done by Ito et al. (2015) show that only pressures below 10−5 bar would be strongly affected, however, the significance is unclear without employing full kinetic photochemistry networks. The possibility of photochemical haze formation is also not considered.

5 Conclusions

Characterisation of lava worlds is exciting new frontier to be explored in the imminent future. Decade old studies have predicted formation of silicate-rich atmospheres, outgassed from the molten surface of irradiated planets (Schaefer & Fegley 2009; Miguel et al. 2011). With the launch of JWST, the topic has received more interest than ever, including many predictive and observational studies (Ito et al. 2015; Kite et al. 2016; Dai et al. 2019; Nguyen et al. 2020; Ito & Ikoma 2021; Zieba et al. 2022). Several lava planets have been confirmed for the initial observers programme of JWST, which may lead to first evidence of silicate atmospheres on exoplanets (Hu et al. 2021; Brandeker et al. 2021; Dang et al. 2021; Espinoza et al. 2021).

As current theory predicts, these atmospheres should be depleted in highly volatile material. Thus characterisation with low resolution spectroscopy is likely to be only feasible via infrared emission coming from the dayside of the planet. In this work we have modelled 1D outgassed equilibrium chemistry consistently with radiative-transfer for all currently confirmed short period rocky exoplanets. We have considered a large number of possible species, including ions, as well as all up to date opacities. Finally, we have assessed observability of the best targets with the MIRI LRS instrument. Our results indicate the following:

  1. Thermal inversions may not be as dominant in silicate atmospheres as previously thought. We find that inversions extend all the way to the surface only for planets with -stellar temperatures below 2000 K. With larger surface temperature, due to increasing IR dominance over shortwave opacity inversions weaken and become confined to the upper atmospheric regions. Inversion strength also decreases with decreasing stellar temperature, implying that lava planets around M and K dwarfs may show only slightly increased emission flux, if any at all. This severely impacts characterisation of silicate atmospheres;

  2. The dominant opacity sources for non-evolved silicate atmospheres with -stellar temperatures >2500 K are SiO, SiO2, MgO, Na and TiO. Excluding these absorbers from models may result in inaccurate temperature–pressure profiles;

  3. The best observable features come from silicon oxides, specifically 7 μm SiO2 and 9 μm SiO bands. SiO2 is confined to the lower, cooler regions, manifesting as absorption features. SiO is highly abundant in the low pressure, inversion dominated regions. While our temperature result in relatively small atmospheric features, we find that for the best targets, observations of only a few eclipses with MIRI LRS are needed for a detection;

  4. The composition of the melt and possible volatile removal from the system will impact observability. Fractionally evolved atmospheres will have reduced SiO and SiO2 features and will prove much more difficult to characterise. Large flux from TiO (<1 μm) could suggest atmospheres outgassed from melts resembling the Earth’s Continental or Oceanic crust. Detection 11-16 μm SiO2 features imply depletion of MgO, which is also characteristic of crust-like compositions. Detection of certain atmospheric abundances may allow us to constrain melt compositions, surface activity and even interior dynamics;

  5. The recommended targets for silicate atmosphere characterisation with low resolution infrared spectroscopy are lava planets with -stellar temperatures of at least 2500 K that ideally orbit cooler K dwarfs. Some of the currently confirmed planets to keep an eye on include: TOI-1807 b, 55 Cnc e, TOI-2431 b, K2-141 b, HD 3167 b, TOI-561 b, HD 213885 b. 55 Cnc e and K2-141 b are confirmed for the JWST Cycle 1 GO programme.

We stress the fact that 1D equilibrium models are limited in their predictability. The large temperature contrast between the day and the night side, circulation and interior effects, photochemistry and kinetics are all likely to influence the thermal structure and atmospheric abundances. There is also a need for more accurate modelling of opacities, accounting for pressure broadening effects and the high temperatures of silicate atmospheres.

Acknowledgements

We thank Renyu Hu for his insightful comments that helped improve the paper. This work has made use of the VALD database, operated at Uppsala University, the Institute of Astronomy RAS in Moscow, and the University of Vienna. We are also very grateful to all the authors of the following packages making this work possible: HELIOS-K (Grimm & Heng 2015; Grimm et al. 2021); HELIOS (Malik et al. 2017, Malik et al. 2019b); FASTCHEM (Stock et al. 2018); MAGMA (Fegley & Cameron 1987; Schaefer & Fegley 2004); petitRADTRANS (Mollière et al. 2019, 2020); PANDEXO (Batalha et al. 2017); numpy (Harris et al. 2020); matplotlib (Hunter 2007); seaborn (Waskom 2021).

Appendix A Opacity Data

Table A.1

Sources and parameters of opacities used in this work

Appendix B Evolution of Atmospheric Abundances

thumbnail Fig. B.1

Atmospheric abundance changes with fractional vaporisation (removal of volatile material). Shown for a Bulk Silicate Earth Composition for a range of different surface temperatures. Abundances are taken as averages for all pressures larger than 10−5 bar, assuming an isothermal temperature profile. Only the most relevant, typically high in abundance, species are shown.

References

  1. Allard, F., Allard, N. F., Homeier, D., et al. 2007a, A&A, 474, L21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Allard, N. F., Kielkopf, J. F., & Allard, F. 2007b, Eur. Phys. J. D., 44, 507 [NASA ADS] [CrossRef] [Google Scholar]
  3. Angelo, I., & Hu, R. 2017, AJ, 154, 232 [NASA ADS] [CrossRef] [Google Scholar]
  4. Barragán, O., Gandolfi, D., Dai, F., et al. 2018, A&A, 612, A95 [Google Scholar]
  5. Barton, E. J., Yurchenko, S. N., & Tennyson, J. 2013, MNRAS, 434, 1469 [NASA ADS] [CrossRef] [Google Scholar]
  6. Batalha, N. E., Mandell, A., Pontoppidan, K., et al. 2017, PASP, 129, 064501 [Google Scholar]
  7. Beichman, C., Benneke, B., Knutson, H., et al. 2014, PASP, 126, 1134 [NASA ADS] [CrossRef] [Google Scholar]
  8. Bond, J. C., O’Brien, D. P., & Lauretta, D. S. 2010, ApJ, 715, 1050 [Google Scholar]
  9. Brandeker, A., Alibert, Y., Bourrier, V., et al. 2021, Is it raining lava in the evening on 55 Cancri e?, JWST Proposal. Cycle 1 [Google Scholar]
  10. Brugman, K., Phillips, M. G., & Till, C. B. 2021, J. Geophys. Res. (Planets), 126, e06731 [NASA ADS] [Google Scholar]
  11. Carter-Bond, J. C., O’Brien, D. P., & Raymond, S. N. 2012, ApJ, 760, 44 [NASA ADS] [CrossRef] [Google Scholar]
  12. Castan, T., & Menou, K. 2011, ApJ, 743, L36 [NASA ADS] [CrossRef] [Google Scholar]
  13. Chubb, K. L., Rocchetto, M., Yurchenko, S. N., et al. 2021, A&A, 646, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Dai, F., Masuda, K., Winn, J. N., & Zeng, L. 2019, ApJ, 883, 79 [NASA ADS] [CrossRef] [Google Scholar]
  15. Dang, L., Cowan, N. B., Hammond, M., et al. 2021, A Hell of a Phase Curve: Mapping the Surface and Atmosphere of a Lava Planet K2-141b, JWST Proposal. Cycle 1 [Google Scholar]
  16. Demory, B.-O., Gillon, M., de Wit, J., et al. 2016, Nature, 532, 207 [NASA ADS] [CrossRef] [Google Scholar]
  17. Dorn, C., Khan, A., Heng, K., et al. 2015, A&A, 577, A83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Espinoza, N., Bello-Arufe, A., Buchhave, L. A., et al. 2021, The first near-infrared spectroscopic phase-curve of a super-Earth, JWST Proposal. Cycle 1 [Google Scholar]
  19. Fegley, B., & Cameron, A. G. W. 1987, Earth Planet. Sci. Lett., 82, 207 [CrossRef] [Google Scholar]
  20. France, K., Loyd, R. O. P., Youngblood, A., et al. 2016, ApJ, 820, 89 [NASA ADS] [CrossRef] [Google Scholar]
  21. Gandhi, S., & Madhusudhan, N. 2019, MNRAS, 485, 5817 [Google Scholar]
  22. Gordon, I. E., Rothman, L. S., Hill, C., et al. 2017, J. Quant. Spec. Rad. Transf., 203, 3 [NASA ADS] [CrossRef] [Google Scholar]
  23. Grimm, S. L., & Heng, K. 2015, ApJ, 808, 182 [NASA ADS] [CrossRef] [Google Scholar]
  24. Grimm, S. L., Malik, M., Kitzmann, D., et al. 2021, ApJS, 253, 30 [NASA ADS] [CrossRef] [Google Scholar]
  25. Hammond, M., & Pierrehumbert, R. T. 2017, ApJ, 849, 152 [CrossRef] [Google Scholar]
  26. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  27. Hart, S. R., & Zindler, A. 1986, Chemical Geology, 57, 247 [NASA ADS] [CrossRef] [Google Scholar]
  28. Hedges, C., Hughes, A., Zhou, G., et al. 2021, AJ, 162, 54 [NASA ADS] [CrossRef] [Google Scholar]
  29. Hu, R., Brandeker, A., Damiano, M., et al. 2021, Determining the Atmospheric Composition of the Super-Earth 55 Cancri e, JWST Proposal. Cycle 1 [Google Scholar]
  30. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  31. Husser, T. O., Wende-von Berg, S., Dreizler, S., et al. 2013, A&A, 553, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Ito, Y., & Ikoma, M. 2021, MNRAS, 502, 750 [NASA ADS] [CrossRef] [Google Scholar]
  33. Ito, Y., Ikoma, M., Kawahara, H., et al. 2015, Apj, 801, 144 [CrossRef] [Google Scholar]
  34. Kite, E. S., Fegley Bruce, J., Schaefer, L., & Gaidos, E. 2016, ApJ, 828, 80 [NASA ADS] [CrossRef] [Google Scholar]
  35. Klein, E. M. 2003, Treatise Geochem., 3, 659 [NASA ADS] [Google Scholar]
  36. Klein, B., Jura, M., Koester, D., & Zuckerman, B. 2011, ApJ, 741, 64 [Google Scholar]
  37. Kurucz, R. L. 1992, Rev. Mex. Astron. Astrofis., 23, 45 [Google Scholar]
  38. Li, H. Y., Tennyson, J., & Yurchenko, S. N. 2019, MNRAS, 486, 2351 [NASA ADS] [CrossRef] [Google Scholar]
  39. Lopez, E. D. 2017, MNRAS, 472, 245 [NASA ADS] [CrossRef] [Google Scholar]
  40. Loyd, R. O. P., France, K., Youngblood, A., et al. 2016, ApJ, 824, 102 [NASA ADS] [CrossRef] [Google Scholar]
  41. Malavolta, L., Mayo, A. W., Louden, T., et al. 2018, AJ, 155, 107 [NASA ADS] [CrossRef] [Google Scholar]
  42. Malik, M., Grosheintz, L., Mendonça, J. M., et al. 2017, ApJ, 153, 56 [CrossRef] [Google Scholar]
  43. Malik, M., Kempton, E. M. R., Koll, D. D. B., et al. 2019a, ApJ, 886, 142 [NASA ADS] [CrossRef] [Google Scholar]
  44. Malik, M., Kitzmann, D., Mendonça, J. M., et al. 2019b, ApJ, 157, 170 [CrossRef] [Google Scholar]
  45. Marley, M. S., Saumon, D., Visscher, C., et al. 2021, ApJ, 920, 85 [NASA ADS] [CrossRef] [Google Scholar]
  46. McKemmish, L. K., Masseron, T., Hoeijmakers, H. J., et al. 2019, MNRAS, 488, 2836 [Google Scholar]
  47. Mierdel, K., Keppler, H., Smyth, J. R., & Langenhorst, F. 2007, Science, 315, 364 [NASA ADS] [CrossRef] [Google Scholar]
  48. Miguel, Y., Kaltenegger, L., Fegley, B., & Schaefer, L. 2011, ApJ, 742, L19 [NASA ADS] [CrossRef] [Google Scholar]
  49. Mollière, P., Wardenier, J. P., van Boekel, R., et al. 2019, A&A, 627, A67 [Google Scholar]
  50. Mollière, P., Stolker, T., Lacour, S., et al. 2020, A&A, 640, A131 [Google Scholar]
  51. Morgan, J. W., & Anders, E. 1980, Proc. Natl. Acad. Sci. USA, 77, 6973 [CrossRef] [Google Scholar]
  52. Nguyen, T. G., Cowan, N. B., Banerjee, A., & Moores, J. E. 2020, MNRAS, 499, 4605 [NASA ADS] [CrossRef] [Google Scholar]
  53. Ogihara, M., Morbidelli, A., & Guillot, T. 2015, A&A, 578, A36 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Owen, J. E. 2019, Ann. Rev. Earth Planet. Sci., 47, 67 [Google Scholar]
  55. Owen, J. E., & Wu, Y. 2017, ApJ, 847, 29 [Google Scholar]
  56. Owens, A., Conway, E. K., Tennyson, J., & Yurchenko, S. N. 2020, MNRAS, 495, 1927 [NASA ADS] [CrossRef] [Google Scholar]
  57. Patrascu, A. T., Yurchenko, S. N., & Tennyson, J. 2015, MNRAS, 449, 3613 [NASA ADS] [CrossRef] [Google Scholar]
  58. Putirka, K. D., & Rarick, J. C. 2019, Am. Mineralogist, 104, 817 [NASA ADS] [CrossRef] [Google Scholar]
  59. Putirka, K. D., & Xu, S. 2021, Nat. Commun. 12, 6168 [NASA ADS] [CrossRef] [Google Scholar]
  60. Quinn, S., Zieba, S., Cowan, N. B. 2021, HST Proposal. Cycle 29, #16660 [Google Scholar]
  61. Ricker, G. R., Winn, J. N., Vanderspek, R., et al. 2014, SPIE Conf. Ser, 9143, 914320 [NASA ADS] [Google Scholar]
  62. Rossi, F., & Pascale, J. 1985, Phys. Rev. A., 32, 2657 [NASA ADS] [CrossRef] [Google Scholar]
  63. Rudnick, R. L., & Fountain, D. M. 1995, Rev. Geophys., 33, 267 [NASA ADS] [CrossRef] [Google Scholar]
  64. Rudnick, R. L., & Gao, S. 2014, in Treatise on Geochemistry, 2nd ed., eds. H. D. Holland, & K. K. Turekian (Oxford: Elsevier), 1 [Google Scholar]
  65. Ryabchikova, T., Piskunov, N., Kurucz, R. L., et al. 2015, Phys. Scr, 90, 054005 [Google Scholar]
  66. Santos, N. C., Adibekyan, V., Dorn, C., et al. 2017, A&A, 608, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Schaefer, L., & Fegley, B. 2004, Icarus, 169, 216 [CrossRef] [Google Scholar]
  68. Schaefer, L., & Fegley, B. 2009, ApJ, 703, L113 [CrossRef] [Google Scholar]
  69. Stock, J. W., Kitzmann, D., Patzer, A. B. C., & Sedlmayr, E. 2018, MNRAS, 479, 865 [NASA ADS] [Google Scholar]
  70. Waskom, M. L. 2021, J. Open Source Softw., 6, 3021 [CrossRef] [Google Scholar]
  71. Wedepohl, K. H. 1995, Geochim. Cosmochim. Acta, 59, 1217 [NASA ADS] [CrossRef] [Google Scholar]
  72. White, W. M., & Klein, E. M. 2014, in Treatise on Geochemistry, 2nd edn., eds. H. D. Holland, & K. K. Turekian (Oxford: Elsevier), 457 [CrossRef] [Google Scholar]
  73. Winn, J. N., Sanchis-Ojeda, R., & Rappaport, S. 2018, New Astron. Rev., 83, 37 [CrossRef] [Google Scholar]
  74. Youngblood, A., France, K., Loyd, R. O. P., et al. 2016, ApJ, 824, 101 [Google Scholar]
  75. Yurchenko, S. N., Blissett, A., Asari, U., et al. 2016, MNRAS, 456, 4524 [NASA ADS] [CrossRef] [Google Scholar]
  76. Zieba, S., Zilinskas, M., Kreidberg, L., et al. 2022, A&A, accepted [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Zilinskas, M., Miguel, Y., Mollière, P., & Tsai, S.-M. 2020, MNRAS, 494, 1490 [NASA ADS] [CrossRef] [Google Scholar]
  78. Zilinskas, M., Miguel, Y., Lyu, Y., & Bax, M. 2021, MNRAS, 500, 2197 [Google Scholar]

1

Approved JWST Cycle 1 GO rocky planets. Highly irradiated: K2-141 b, 55 Cnc e, GJ 367 b, TOI-178 b, HD 15337 b, L 168-9 b, TOI-836.02, and LHS 3844 b. Others: GJ 486 b, TRAPPIST-1 b, c, g, LHS 1140 b, TOI-776 b, GJ 357 b, LTT 1445 A b and L 98-59 c.

7

All individual spectra are available for download as supplementary material https://github.com/zmantas/LavaPlanets

12

Depending on atmospheric composition, the converged surface temperature of the planet may deviate from Teq, especially if the planet is strongly irradiated. The effect of this is showcased in Sects. 3.2 and 3.3.

13

TOI-2431 b is at the time of writing still a TESS planet candidate but the target is likely to be confirmed soon due to an accepted HST programme (GO 16660, Quinn 2021).

14

(In)compatibility is a geochemical term used to describe how easily a minor or trace element is able to replace major elements in a mineral.

All Tables

Table 1

Initial melt compositions.

Table A.1

Sources and parameters of opacities used in this work

All Figures

thumbnail Fig. 1

Confirmed transiting short period exoplanets (including current TESS candidates) with radii <2 R and equilibrium -stellar temperatures >1000 K. Planets to the left of the ultra-short period (USP) line have orbital periods <1 day. Named planets are approved for the JWST Cycle 1 GO programme. The colour indicates the theoretical -stellar temperature of the planet. The marker size is proportional to the radius of the planet. Over 800 confirmed planets and more than 150 TESS candidates are displayed. The complete table of all shown planets with their parameters can be downloaded as supplementary material.

In the text
thumbnail Fig. 2

Sampled opacities of a silicate atmosphere. Shown for a typical Bulk Silicate Earth melt composition with a surface temperature of ~2700 K and atmospheric pressure of 10−4 bar. The individual species indicate contributed absorption to the total opacity, with the minimum cutoff threshold of 5%. The upper panel shows temperature-specific absorption contribution relative to the maximum opacity for all wavelengths, with a minimum threshold of 10−10. The curve is fitted to indicate the maximum, wavelength-specific opacity for all temperatures. Note that the labelled temperatures are atmospheric, which represent the temperature of the melt.

In the text
thumbnail Fig. 3

Temperature-pressure profiles of confirmed lava planets with -stellar temperatures >1500 K. Calculated using non-evolved (0% fractional vaporisation) Bulk Silicate Earth compositions. All profiles are converged to radiative-convective chemical equilibrium using the opacities described in Sect. 2.2. The colour is indicative of stellar irradiation temperature.

In the text
thumbnail Fig. 4

Thermal inversion strength relation with the temperature of the stellar host and the -stellar temperature of the planet. Inversion strength is the ratio of the maximum atmospheric temperature with the surface temperature of the planet. In most cases the maximum temperature coincides with the uppermost regions. Inversions become greater with increasing stellar temperature and is anti-correlated with the temperature of the planet. Silicate atmospheres become fully opaque at around 2600 K surface temperature, causing a change in atmospheric structure (isothermal lower layer), indicated via clustered planets separated via a distinct gap.

In the text
thumbnail Fig. 5

Emission observability of lava planets using the JWST MIRI LRS slitless mode. Flux ratio is computed using radiative-convective models with temperature profiles shown in Fig. 3. The flux is given for a wavelength of 9 μm, where the presence of SiO is expected to cause a broad emission feature. Error bars are simulated for 20 h of observations (3 eclipses) and binned to R = 10. The highlighted region indicates the optimal magnitude range for the MIRI LRS mode. The colour of each planet denotes its -stellar temperature. Ideal targets have high flux ratio, large surface temperature and fall between 9.5 and 5.5 J magnitude.

In the text
thumbnail Fig. 6

Synthetic emission spectra of four selected lava planets with outgassed silicate atmospheres: HD 213885 b, 55 Cnc e, K2-141 b and TOI-1807 b. The spectra are computed for the entire JWST wavelength range and convolved to a resolution of R = 800. The blue curves denote blackbody emission of numerically converged surface temperature. Corresponding temperature profiles for each planet are shown in the inset. Error bars are simulated for the JWST MIRI LRS mode, assuming 20 h of observations (3 eclipses) and binned to R = 10. The indicated MIRI coverage region includes both, low resolution and medium resolution modes. Shaded SiO (9 μm) and SiO2 (7 μm) are likely to be strongest characterisable features of silicate atmospheres. Note that SiO also has an additional band between 4 and 5 μm, however, its magnitude is, in most cases, small. The noise at 4–5 μm is an artefact of generated synthetic stellar spectra.

In the text
thumbnail Fig. 7

Opacity contribution of an outgassed silicate atmosphere for TOI-1807 b with a non-evolved (0% fractional vaporisation) Bulk Silicate Earth melt composition. Intensity shaded pressures indicates optically thick regions. All marked species are major contributors of the denoted wavelengths. The corresponding temperature profile and the resulting spectrum are shown in Fig. 6.

In the text
thumbnail Fig. 8

Temperature profiles of evolved silicate atmospheres with -stellar temperatures >2000 K, computed for a Bulk Silicate Earth composition with 60% fractional vaporisation. All profiles are converged to radiative-convective chemical equilibrium using the opacities described in Sect. 2.2. Stellar irradiation temperature colour coded. Faint curves indicate temperature profiles for non-evolved cases, (0% fractional vaporisation) originally in Fig. 3.

In the text
thumbnail Fig. 9

Emission spectra of same four planets as in Fig. 6, but now showing the differences caused by fractional vaporisation. Coloured curves indicate atmospheres with no fractional vaporisation, while black curves show atmospheres vaporised to 60%. All cases are for Bulk Silicate Earth melt composition shown at R = 800. Corresponding temperature profiles for each case are shown in the inset. Blue shaded regions now denote blackbody emission boundaries between the converged surface temperature of non-evolved and evolved models.

In the text
thumbnail Fig. 10

Volume mixing ratio of silicate atmospheres outgassed from Komatiite, Continental, Oceanic, Mercury and BSE melts for 55 Cnc e, with a surface temperatures close to 2700 K. Exact melt compositions are given in Table 1. The five listed species have the dominant opacities that shape the thermal structure and emission spectrum of the atmosphere. Depending on the exact surface temperature and volatile content, the total outgassed pressure will vary between different melts.

In the text
thumbnail Fig. 11

Emission spectra for different melt compositions at R = 800. The shown planets are: TOI-1807 b; 55 Cnc e; HD 806563 b. For each planet different colours indicate varying melt compositions, while the black curves represent Bulk Silicate Earth melts. Corresponding temperature profiles for each of the compositions are show in the inset. The blue shaded region represents variation in surface temperature, which in this case is largest between Bulk Silicate Earth and Oceanic comps.

In the text
thumbnail Fig. 12

Same as Fig. 11, but for 60% vaporised melts shown at R = 800. For each planet, different coloured curves represent different melt compositions. The blue shaded regions represent blackbody emission boundaries between Bulk Silicate Earth and Oceanic compositions. Temperature profiles are given in the inset.

In the text
thumbnail Fig. B.1

Atmospheric abundance changes with fractional vaporisation (removal of volatile material). Shown for a Bulk Silicate Earth Composition for a range of different surface temperatures. Abundances are taken as averages for all pressures larger than 10−5 bar, assuming an isothermal temperature profile. Only the most relevant, typically high in abundance, species are shown.

In the text

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