Measuring the Atmospheres of (the best!) Earth-sized Planets with JWST

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Transcription:

Measuring the Atmospheres of (the best!) Earth-sized Planets with JWST Caroline Morley Sagan Fellow, Harvard University Laura Kreidberg Zafar Rustamkulov Ty Robinson Photo by C. Morley Top of Mt Whitney, California, on Planet Earth

Terrestrial planet atmospheres in the solar system are diverse and controlled by many physical processes Venus Earth Titan Mars 100 bar CO 2 sulfuric acid clouds no oceans surface is hellscape 1 bar N 2 /O 2 oceans & hydro cycle surface is nice 1 bar N 2 methane lakes and hydro cycle surface is (really) cold 6 mbar CO 2 former liquid water surface is cold volatile delivery interior composition planet mass atm loss (ocean loss) UV flux (photochemistry)

How do terrestrial atmospheres form and evolve in planetary systems? Two big problems: 1. very small sample size 2. all around the same star

For the first time ever, we have discovered temperate, terrestrial planets for which we have a fighting shot of characterizing their atmospheres + GJ 1132b LHS 1140b all small planets around some of the smallest nearby stars Gillon et al. 2017 Berta-Thompson et al. 2016 Dittmann et al. 2017

Outline generating a diverse set of model planet spectra (transmission and emission) simulating observations with JWST +

Good experimental setup: these planets span sizes from 0.7 to 1.4 R Earth and T eq from ~150 to 500+ K. albedo=0.0 (dark) albedo=0.3 (Earth) albedo=0.7 (Venus)

Some masses appear to be Earth-like (rock/iron); others may be low density? Earth-like mass-radius relationship measured

We construct a grid with a range of plausible compositions/surface pressures Compositions Surface pressures 100 10 1 0.1 0.01 0.001 0.0001 Venus Earth & Titan Mars Pluto (0.00001 bar)

We construct atmospheres with simple temperature structures and chemistry isothermal upper atmosphere 0.1 bar tropopause (Robinson & Catling 2014) adiabatic deep atmosphere

We model the molecular compositions assuming chemical equilibrium elemental abundances molecular abundances 1 bar

Earth-based models are dominated by H 2 O, plus CO 2, O 2. Titan-based models are dominated by CH 4, plus NH 3, CO, H 2 O. Venus-based models are dominated by CO 2, plus SO 2, H 2 O.

Surface temperature increases with surface pressure; depends on composition and assumed albedo.

Planet composition strongly effects the emergent spectrum, including where bright/faint windows are. (surface pressure = 1 bar)

Transmission spectra of the different compositions show a variety of spectral features (CO 2, H 2 O, CH 4 )

Transmission spectra for all 9 planets; uncertainties in the planet s mass strongly affect the feature amplitude. mass using rock/iron composition measured mass

For 1 100 bar atmospheres, thermal emission spectra are much more sensitive to surface pressure than transmission spectra emission transmission

All ~400 models (including emission spectra, transmission spectra, and MIRI eclipse depths) are publicly available online! https://www.carolinemorley.com/models https://doi.org/10.5281/zenodo.1001033

Outline generating a diverse set of model planet spectra (transmission and emission) simulating observations with JWST +

We (Laura Kreidberg) simulate JWST observations with PandExo for near-ir (NIRSpec) and mid-ir (MIRI). rock/iron composition (measured mass)

We (Laura Kreidberg) simulate JWST observations with PandExo for near-ir (NIRSpec) and mid-ir (MIRI). 1. A number of these planets may be good transmission spectroscopy targets: TRAPPIST-1b, d, e, f, g, h? GJ 1132b rock/iron composition (measured mass)

We (Laura Kreidberg) simulate JWST observations with PandExo for near-ir (NIRSpec) and mid-ir (MIRI). 2. We have at least 2 great thermal emission spectroscopy targets (TRAPPIST-1b and GJ 1132b) rock/iron composition (measured mass)

We (Laura Kreidberg) simulate JWST observations with PandExo for near-ir (NIRSpec) and mid-ir (MIRI). 3. We need more precise constraints on planet s masses to plan JWST observations of rocky planets rock/iron composition (measured mass)

For the best targets, we can detect spectral features and discern compositions 6 transits TRAPPIST-1b 9 eclipses

Conclusions With dedicated JWST observations of the best systems, we can detect the atmospheres of terrestrial planets for the first time We generated a diverse set of model transmission & emission spectra based on solar system planet compositions that are published as a community resource JWST simulations show that this will be a significant investment of resources, but we can (potentially) measure differences in compositions, temperatures, and surface pressures +