Exoplanet atmospheres

Similar documents
Prospects for ground-based characterization of Proxima Centauri b

Exoplanet atmosphere Spectroscopy present observations and expectations for the ELT

The Fast Spin of β Pic b

Exoplanet Science with E-ELT/METIS

Exoplanets Atmospheres. Characterization of planetary atmospheres. Photometry of planetary atmospheres from direct imaging

Exoplanetary Atmospheres: Temperature Structure of Irradiated Planets. PHY 688, Lecture 23 Mar 20, 2009

Characterising Exoplanet Atmospheres with High- resolution Spectroscopy

Characterization of Transiting Planet Atmospheres

Synergies between E-ELT and space instrumentation for extrasolar planet science

E-ELT s View of Exoplanetary Atmospheres

Studying Exoplanet Atmospheres with TMT. Ian Crossfield Sagan Fellow, UA/LPL 2014/07/18

Characterizing the Atmospheres of Extrasolar Planets. Julianne I. Moses (Space Science Institute)

Adam Burrows, Princeton April 7, KITP Public Lecture

Exoplanet Atmospheres Observations. Mercedes López-Morales Harvard-Smithsonian Center for Astrophysics

Science Olympiad Astronomy C Division Event National Exam

A dozen years of hot exoplanet atmospheric investigations. Results from a large HST program. David K. Sing. #acrosshr Cambridge.

SPICA Science for Transiting Planetary Systems

Characterizing Exoplanet Atmospheres: a new frontier

arxiv: v1 [astro-ph.ep] 3 Jul 2013

Internal structure and atmospheres of planets

arxiv: v1 [astro-ph.ep] 14 Apr 2014

Direct imaging characterisation of (exo-) planets with METIS

Exoplanetary Atmospheres: Atmospheric Dynamics of Irradiated Planets. PHY 688, Lecture 24 Mar 23, 2009

2 More Science Cases, Summary & Close

TMT High-Contrast Exoplanet Science. Michael Fitzgerald University of California, Los Angeles (UCLA)

4. Direct imaging of extrasolar planets. 4.1 Expected properties of extrasolar planets. Sizes of gas giants, brown dwarfs & low-mass stars

The Direct Study of Exoplanet Atmospheres

Credit: NASA/Kepler Mission/Dana Berry. Exoplanets

Characterization of Exoplanets in the mid-ir with JWST & ELTs

Exoplanets and their Atmospheres. Josh Destree ATOC /22/2010

Cover Page. The handle holds various files of this Leiden University dissertation

Challenges and Opportunities in Constraining the Bulk Properties of Super-Earths with Transmission Spectroscopy

Extrasolar Transiting Planets: Detection and False Positive Rejection

Extrasolar Planets = Exoplanets III.

Detection of water absorption in the day side atmosphere of HD b using ground-based high-resolution spectroscopy at 3.2µm

Exoplanets Direct imaging. Direct method of exoplanet detection. Direct imaging: observational challenges

Studies of Super-Earth and Terrestrial Planet Atmospheres with JWST

Proxima Cen b: theoretical spectral signatures for different atmospheric scenarios

Planetary interiors: What they can(not) tell us about formation

Actuality of Exoplanets Search. François Bouchy OHP - IAP

Extrasolar Planets: Ushering in the Era of Comparative Exoplanetology

II Planet Finding.

Design Reference Mission. DRM approach

Exo-Planetary atmospheres and host stars. G. Micela INAF Osservatorio Astronomico di Palermo

CHARACTERIZING EXOPLANET ATMOSPHERES USING GENERAL CIRCULATION MODELS

Transit spectrum of Venus as an exoplanet model prediction + HST programme Ehrenreich et al. 2012, A&A Letters 537, L2

Indirect Methods: gravitational perturbation of the stellar motion. Exoplanets Doppler method

Exoplanet Search Techniques: Overview. PHY 688, Lecture 28 April 3, 2009

Transiting Exoplanet Observations of GJ 1132b & LHS 1140b with JWST

Atmospheric Dynamics of Exoplanets: Status and Opportunities

The Kepler Mission: 20% of all Stars in the Milky Way Have Earth like Planets!

EART164: PLANETARY ATMOSPHERES

How Common Are Planets Around Other Stars? Transiting Exoplanets. Kailash C. Sahu Space Tel. Sci. Institute

Exoplanets Direct imaging. Direct method of exoplanet detection. Direct imaging: observational challenges

Transit Spectroscopy Jacob Bean

Exoplanets at the E-ELT era

Red dwarfs and the nearest terrestrial planets

Search for Transiting Planets around Nearby M Dwarfs. Norio Narita (NAOJ)

3.4 Transiting planets

The SPIRou RV surveys. Étienne Artigau for the SPIRou collaboration

New Tools for Understanding Exoplanet Atmospheres from Spectroscopy. Caroline Morley 2016 Sagan Fellow Harvard University

EarthFinder A NASA-selected Probe Mission Concept Study for input to the 2020 Astrophysics Decadal Survey

Predicting the Extreme-UV and Lyman-α Fluxes Received by Exoplanets from their Host Stars

Exoplanet Forum: Transit Chapter

Revealing the evolution of disks at au from high-resolution IR spectroscopy

Substellar Atmospheres. PHY 688, Lecture 18 Mar 9, 2009

Exoplanetary Science with the E-ELT

Research paper assignment

HD Transits HST/STIS First Transiting Exo-Planet. Exoplanet Discovery Methods. Paper Due Tue, Feb 23. (4) Transits. Transits.

Data from: The Extrasolar Planet Encyclopaedia.

Fundamental (Sub)stellar Parameters: Surface Gravity. PHY 688, Lecture 11

Kevin France University of Colorado AXIS Science Workshop August 6 th 2018

Earth-like planets in habitable zones around L (and T) dwarfs

Direct imaging of extra-solar planets

Lecture #15: Plan. Telescopes (cont d) Effects of Earth s Atmosphere Extrasolar planets = Exoplanets

A Theoretical Framework to Understand the Diversity of Exoplanet Atmospheres with Current and Future Observatories

Mul%- site All- Sky CAmeRA MASCARA

Transmission spectra of exoplanet atmospheres

Why Should We Expect to Find Other Planets? Planetary system formation is a natural by-product of star formation

Searching for Other Worlds

GAPS2: the origin of planetary systems diversity

2010 Pearson Education, Inc.

Comparative Planetology: Transiting Exoplanet Science with JWST

The Transit Method: Results from the Ground

Chapter One. Introduction 1.1 EXOPLANETS FROM AFAR

Extrasolar Planets. Properties Pearson Education Inc., publishing as Pearson Addison-Wesley

What is to expect from the transit method. M. Deleuil, Laboratoire d Astrophysique de Marseille Institut Universitaire de France

Optimal measures for characterizing water-rich super-earths

Mid-IR and Far-IR Spectroscopic Measurements & Variability. Kate Su (University of Arizona)

Exo-Cartography (Mapping the Climate and Oceans of Exoplanets)

Science of extrasolar Planets A focused update

Exoplanetary Science with Mul4- Object Spectrographs (and GLAO) Norio Narita (NAOJ)

ASTB01 Exoplanets Lab

Habitable exoplanets: modeling & characterization

Exoplanets in the mid-ir with E-ELT & METIS

Observations of extrasolar planets

Atmospheric Chemistry on Substellar Objects

Observational Techniques: Ground-based Transits

Exoplanets. Saturday Physics for Everyone. Jon Thaler October 27, Credit: NASA/Kepler Mission/Dana Berry

John Barnes. Red Optical Planet Survey (ROPS): A radial velocity search for low mass M dwarf planets

Transcription:

Exoplanet atmospheres at high spectral resolution Matteo Brogi Hubble Fellow, CU-Boulder I. Snellen, R. de Kok, H. Schwarz (Leiden, NL) J. Birkby (CfA, USA), S. Albrecht (Aarhus, DK)! J. Bean (Chicago, USA), A. Chiavassa (Nice, FR), J.-M. Désert (Amsterdam, NL), E. Kempton (Grinnell, USA), M. Line (NASA Ames), A. Sozzetti (Torino, IT) March 31, 216 Observatoire de la Côte d Azur, Nice, France

Outline From finding to characterizing exoplanets by studying their atmospheres Detecting molecular species at high spectral resolution and measuring masses and inclinations in the meanwhile Constraining the atmospheric properties thermal inversion layers, rotation, winds Future applications Characterizing TESS targets, combining high-resolution spectroscopy and direct imaging

How do we find exoplanets? RADIAL VELOCITIES Periodic shift in stellar lines Fit to determine P, a, e Lower limit on M P (i unknown) TRANSITS Planet orbit seen edge-on Periodic dip in the light curve Depth ~ star/planet area E. de Mooij ESO

The golden era of exoplanet discoveries 1995-216 2,+ confirmed exoplanets This plot is misleading! Mass (M Jupiter ) 1 1 1-1 Detection threshold 1-2 1-3 Transits Radial velocities Direct imaging Other Solar System 1-3 1-2 1-1 1 1 1 2 1 3 1 4 Semi-major axis (AU)

Statistics of exoplanet population Mostly from Kepler on transiting planets (Fressin et al. 213) Planets per star (P < 85 days).2.15.1.5 Earths Super-! Earths Small! Neptunes Large! Neptunes FGK stars P =.8-85 days η any = (52 ± 4) % η = (16.6 ± 3.6) % The most common planets have no analogs in the Solar System Giant! Planets 1. 1.4 2. 2.8 4. 5.7 8. 11.3 16. 23. Planet radius (R )

Measuring the planet bulk density Planets with measurements of both radii and masses Lighter gray = bigger error bars 2. Planet radius (R Jup ) 1.5 1. Degeneracies in the planet bulk composition Inflated radii of giant planets.5 Pure H 2 Pure rock Pure H 2 O Pure iron.1.1.1 1 1 Planet mass (M Jup )

The structure and composition of small planets Plot from Berta et al. (215) Lighter gray = bigger error bars The smallest planets seem to be compatible with Earth-Venus composition

Observing exoplanet atmospheres From statistical to individual properties of exoplanets Molecular/atomic species, inversion layers, clouds/hazes Solving degeneracies between planet interior-envelope Super-Earths or mini-giants (or something unexpected?) Linking composition to origin & evolution Reliable estimates of C,N,O elemental abundances vs. stellar values Determining surface conditions and hence habitability Atmospheric circulation, T/p profile, composition, biomarkers

Atmospheric characterization: transiting planets Star and planet are not spatially resolved Monitoring of the total light from the star+planet system, at various wavelengths Eclipse (Dayside spectra) Planet occulted by the stellar disk Measuring the missing planet flux Transit (Transmission spectra) Starlight filtering through the planet atmosphere Measuring the planet radius Phase curve Relative contribution of planet day/night side Constraints on molecular species & abundances, T/p profile, longitudinal energy balance

Atmospheric composition and transmission signals Transit depth D = (R P /R S ) 2 Jupiter-Sun ~ 1% Earth-Sun ~.8% Change in transit depth due to atmospheric opacity D = nhr P /(R S ) 2 H = kt/gµ R S n log( κ) R P

Atmospheric composition and transmission signals Transit depth D = (R P /R S ) 2 Jupiter-Sun ~ 1% Earth-Sun ~.8% Change in transit depth due to atmospheric opacity D = nhr P /(R S ) 2 Find and target planets orbiting small stars (late-k and M-dwarfs) R S R P n log( κ) H = kt/gµ Target warmer planets with lower density Maximize the change in opacity between spectral channels How do we maximize the signal?

From low- to high-resolution spectra Pont+ 213; Burrows 214 HST (low-res spectroscopy) + Spitzer (photometry).159.158 HD 189733 b 1.14 M Jup 1.18 R Jup K1-2V star.157 Radius ratio.156.155 Rayleigh at 1,3 K Settling dust Scale height Cloud deck.154.153 1 4 1 5 Wavelength (Å) 11

From low- to high-resolution spectra Pont+ 213; Burrows 214 HST (low-res spectroscopy) + Spitzer (photometry).159.158 7 nm @ 2.3µm R = 1, HD 189733 b 1.14 M Jup 1.18 R Jup K1-2V star.157 Radius ratio.156.155 Rayleigh at 1,3 K Settling dust Scale height Cloud deck.154.153 1 4 1 5 Wavelength (Å) 11

Molecular fingerprints at high spectral resolution Models by Remco de Kok.159 CO Radius ratio (+ arbitrary shift).158.157.156.155.154 H 2 O CH 4 Molecules resolved into individual lines.153 229 23 231 232 233 234 235 Wavelength (nm)

Hot Jupiters at high spectral resolution HJs sensibly move along the orbit during few hours of observations Planet motion resolved Carbon monoxide - 2.3 µm.8.6 blue-shifted.4 red-shifted Orbital phase.2. 13 -.2 2.38 2.31 2.312 2.314 Wavelength (μm)

Hot Jupiters at high spectral resolution HJs sensibly move along the orbit during few hours of observations Planet motion resolved Carbon monoxide - 2.3 µm.8.6 blue-shifted.4 red-shifted Orbital phase.2 Telluric and planet signal disentangled Planet radial velocity can be measured Planet: 1/1 km/s Star: 1/1 m/s 13. -.2 2.38 2.31 2.312 2.314 Wavelength (μm)

Exoplanets at high-spectral resolution Transiting planets are observable: During transit Before/after secondary eclipse Carbon monoxide - 2.3 µm.8.6 Dayside spectroscopy.4 Orbital phase.2 Transmission spectroscopy. 14 -.2 2.38 2.31 2.312 2.314 Wavelength (μm)

Exoplanets at high-spectral resolution The thermal spectrum of the planet is targeted directly Dayside Spectroscopy Carbon monoxide - 2.3 µm.8.6.4 Orbital phase.2 Dayside spectroscopy applicable to non-transiting planets! 15. -.2 2.38 2.31 2.312 2.314 Wavelength (μm)

The data analysis: a two-step process 1 Removing telluric lines The Earth s atmospheric absorption is stationary in wavelength The planet moves along the orbit and it is Doppler-shifted 5 hours of real data + 2x planet signal (CO) Time Wavelength 16

The data analysis: a two-step process 1 Removing telluric lines The Earth s atmospheric absorption is stationary in wavelength The planet moves along the orbit and it is Doppler-shifted 5 hours of real data + 2x planet signal (CO) Time Wavelength 16

The data analysis: a two-step process 1 Removing telluric lines The Earth s atmospheric absorption is stationary in wavelength The planet moves along the orbit and it is Doppler-shifted 5 hours of real data + 2x planet signal (CO) Time Wavelength 2 Cross-correlating with model spectra (Models by Remco de Kok) Cross-correlation matrix: CCF(RV, t) Time / orbital phase Planet radial velocity 16

The data analysis: a two-step process 1 Removing telluric lines The Earth s atmospheric absorption is stationary in wavelength The planet moves along the orbit and it is Doppler-shifted 5 hours of real data + 2x planet signal (CO) Time Wavelength 2 Cross-correlating with model spectra (Models by Remco de Kok) Cross-correlation matrix: CCF(RV, t) Shifting and co-adding to planet rest-frame (Requires knowledge of planet V orb ) Time / orbital phase Planet radial velocity 16

The orbital motion of τ Boo b Brogi+ 212 Night 3 Night 1 3 6 hours of VLT/CRIRES, 2.3µm Carbon monoxide detected (6σ) Night 2 Planet radial velocity KP (km s -1 ) 14 12 1 8 6 2-4 -2 2 4-1 Systemic velocity (km s -1 ) 9 7 6 5 4 3 Orbital Inclination ( o ) +6 +4 +2-2 Measured: RV ratio: K P /K S Mass ratio: M P /M S! Inferred: Orbital inclination i Planet mass M P = ƒ(m S )! Uncertainties in M P dominated by uncertainties in M S For τ Boo b: i = (45.5±1.5)º, M P = (5.95±.28) M Jup 17

Molecular detections to date Snellen+ 21, 214; Brogi+ 212, 213, 214, 216; Brikby+ 213, de Kok+ 213; Schwarz+ 214 Rodler+ 212, 213; Lockwood+ 214 6 planets (2 transiting, 3 non transiting, 1 directly-imaged) CO (6), H2O (4) detected Detections on 9/1 datasets Masses and inclinations for non-transiting planets! CH4 and CO2 not (yet) detected Low abundances expected for CO 2? (e.g. Heng & Lyons 215) Uncertainty: Incorrect / incomplete line lists VLT/CRIRES R=1, 2.3µm, 3.2µm, 3.5µm dayside, transit, night-side 18

Modeling the planet atmosphere log(p) C = (TC,pC) C = (TC,pC ) non-inverted! inverted Parametrized T/p profile H 2 -dominated (hot-jupiters) Trace gases: CO, H 2 O, CH 4, CO 2 B = (TB,pB) A = (TA,pA) VMR: 1-7 -1-4 for CH 4, CO 2 VMR: 1-5 -1-2 for H 2 O, CO Clear atmosphere (inclusion of an optically-thick cloud deck is possible) ΔT T What do we measure? 1. Degree of match between data and models (strength of CCF) 2. Average line/continuum depth! Transit spectra Weak dependence on T or lapse rate Possible influence of hazes/clouds! Emission spectra Line depth T degeneracy between T A, lapse rate, abundances 19

Modeling the planet atmosphere log(p) C = (TC,pC) C = (TC,pC ) non-inverted! inverted Parametrized T/p profile H 2 -dominated (hot-jupiters) Trace gases: CO, H 2 O, CH 4, CO 2 B = (TB,pB) ΔT A = (TA,pA) T VMR: 1-7 -1-4 for CH 4, CO 2 VMR: 1-5 -1-2 for H 2 O, CO Clear atmosphere (inclusion of an optically-thick cloud deck is possible) What do we measure? 1. Degree of match between data and models (strength of CCF) 2. Average line/continuum depth!! Transit spectra Removing degeneracies Weak dependence on T or lapse rate Possible influence! of hazes/clouds Larger spectral range (ideally! the whole NIR) Absolute fluxes from broad-band / low-res measurement Emission spectra Line depth T degeneracy between T A, lapse rate, abundances 19

Dayside spectra and thermal inversions log(p) non-inverted! inverted Line cores at low pressures Continuum at high pressures Line depth traces T difference (continuum vs. core) dt/dlog(p) > Absorption lines dt/dlog(p) < Emission lines ΔT T The cross-correlation naturally detect inversion layers (Models with the wrong T-p profile produce anti-correlation) All high-resolution observations have detected absorption lines (But stay tuned for Brogi+ in prep.) No evidence of inversion layers to date in the literature (Knutson+ 28, 21; Diamond-Love+ 214; Schwarz+ 214) 2

Testing the synchronous rotation of hot Jupiters HJs become tidally locked on short timescales: P orb = P rot HJs have 2 main regimes of atmospheric circulation Equatorial super-rotation Day- to night-side winds Rotation and winds broaden and distort the planet line profiles (Showman+ 212; Miller-Ricci Kempton+ 212, 214; Rauscher & Kempton 214) 21

Testing the synchronous rotation of hot Jupiters HJs become tidally locked on short timescales: P orb = P rot HJs have 2 main regimes of atmospheric circulation Equatorial super-rotation Day- to night-side winds Rotation and winds broaden and distort the planet line profiles (Showman+ 212; Miller-Ricci Kempton+ 212, 214; Rauscher & Kempton 214) Testing predictions on HD 189733 b 1.1 M Jupiter, 1.2 R Jupiter, K1-2V star! 2 hrs of VLT/CRIRES = 1 transit @ 2.3µm 21

15 KP (km/s) -.2 -.5 -.5 -.4-1. -1. -.6-6 -4-2 15 1 5 CO CO2 2 1 5 CHO 4 CO+H 2 2 analysis analysis CO 5.5σ Water vapor 5 CH H H2O4 HH2O 4 CH 2O 24O CH -6-4 -6-2 -4-22 4 2 6 4 6 2 4 6 2 2 15 15 1 1 CH H 4 H 2O 2O 5.1σ Carbon monoxide 5 CO2 CO CO2 CO2-6 -4-6-2-4 -22 4 2 6 4 6 2 4 6 2 2-6 -4-2 15 1 1 5 2 2 4 6 15 15 5 CO2 CO CO KP (km/s) Change in planet transit depth x 1-1.5-1.5 -.4-2. -2. -.8 -.4 -.4-1. -.6 -.6-1.2 -.8-1.4 -.8 CH H 4 H 2O 2O KP (km/s) 2 -.2-1. -1. -.6-2.5-2.5 -.2.. -.4 -.2 -.6 -.2 1 KP (km/s) -.8-1.5-1.5... -.5 -.5 15 5 CH H2O4-6 -4-2 2 4 6 2 2-6 -4-2 KP (km/s) 2 2 CO Brogi+ S/N analysis S/N analysis S/N analysis 216 analysis CO CO CO KP (km/s) CO Model Model spectra spectra KP (km/s). 1 5 5 Model -2.5spectra.. 1 KP (km/s) Planet orbital KPvelocity (km/s) (km s-1) -2. KP (km/ KP (km/ -1.5 Depth lines Change / Fstar ( 1) Change in planet transit depthofx molecular 1 in planet transit depth x 1 15 The transmission spectrum of HD 189733b -1. CHO 4 CH4 CO+H 2 15 15 1 1 5 CO2 CO 7.6σ Combined signal 5 15 VMR(CO) = VMR(H2O) = 1 1-3 (km/s) (km/s) -.2 -.2 (km/s) CO+H CO+H CH CH CH2O CO+H CO+H 2O 4 CH 4 CH 4 44 2O 2O CH 2.32 2.328 2.322 2.33 2.324 2.326 2.328-6 -4-2 2 4 6-6 -4-4 -2-22 2 6 4 6 6 2.322 2.324 2.326-6 -42.33-2 2 4 6-6-2-4 4 2 4.. 2 Wavelength (µm) Vrest (km/s) Vrest (km/s) Wavelength (µm) Vrest (km/s) 2 2 Vrest (km/s) 15 15 No detection of CH4 or CO2 1 1 22

Modeling the broadened planet line profile Rigid rotation (V rot ) Equatorial band super-rotating (V eq ) No day-to-night side winds (directly from offset of CCF) Line intensity (normalized) Radial velocity (km s -1 ) 23

Measuring line broadening from the CCF Planet RV amplitude (km/s) 2 15 1 5 1 3 2 Co-added CCF / σ CCF 4 5 2 6 5-5 Best-fit value Synchronous rotation Challenge: CCF is not the true planet profile P rot = 3 7 1 2 3 4 5 6 7 6-1 Planet rotational velocity (km/s) 1 2 χ 2 =52.3-1 -4-2 2 3 5 4 7 P rot =1.7 6 Equatorial excess vel. (km/s) χ 2 =35.6-4 -2 2-4 -2 2 4 Planet rest-frame velocity (km/s) Full χ 2 maps of fitted parameters 1 8 6 4 2 1 P rot =1. χ 2 =65.5 Observed CCF CCF of models Residuals 1 2 1 2 3 4 5 6 7-1 Planet rotational velocity (km/s) 3 4 5 7σ 6σ 5σ 4σ 3σ 2σ 1σ 24

Measuring line broadening from the CCF Planet RV amplitude (km/s) 2 15 1 5 1 3 2 Co-added CCF / σ CCF 4 5 2 6 5-5 Best-fit value Synchronous rotation Challenge: CCF is not the true planet profile P rot = 3 7 1 2 3 4 5 6 7 6-1 Planet rotational velocity (km/s) 1 2 χ 2 =52.3-1 -4-2 2 3 5 4 7 P rot =1.7-4 -2 2-4 -2 2 4 Planet rest-frame velocity (km/s) Full χ 2 maps of fitted parameters 6 Equatorial excess vel. (km/s) 1 Data is consistent with 6 synchronous rotation V rot = (3.4 +1.3-1.2) km/s 4 P rot = (1.7 +2.9 -.4) days χ 2 =35.6 8 2 1 P rot =1. χ 2 =65.5 Observed CCF CCF of models Residuals 1 2 1 2 3 4 5 6 7-1 Planet rotational velocity (km/s) 3 4 5 7σ 6σ 5σ 4σ 3σ 2σ 1σ 24

Measuring line broadening from the CCF Planet RV amplitude (km/s) 2 15 1 5 1 3 2 Co-added CCF / σ CCF 4 5 2 6 5-5 Best-fit value Synchronous rotation Challenge: CCF is not the true planet profile P rot = 3 7 1 2 3 4 5 6 7 6-1 Planet rotational velocity (km/s) 1 2 χ 2 =52.3-1 -4-2 2 3 5 4 7 P rot =1.7 6 Equatorial excess vel. (km/s) χ 2 =35.6-4 -2 2-4 -2 2 4 Planet rest-frame velocity (km/s) Full χ 2 maps of fitted parameters 1 8 Fast rotation 6 excluded P rot < 1.3 days (1σ) P rot < 1.4 days (3σ) 2 1 P rot =1. χ 2 =65.5 Observed CCF CCF of models Residuals 1 2 1 2 3 4 5 6 7-1 Planet rotational velocity (km/s) 3 4 5 7σ 6σ 5σ 4σ 3σ 2σ 1σ 25

Measuring line broadening from the CCF Planet RV amplitude (km/s) 2 15 1 5 1 3 2 Co-added CCF / σ CCF 4 5 2 6 5-5 Best-fit value Synchronous rotation Challenge: CCF is not the true planet profile P rot = 3 7 1 2 3 4 5 6 7 6-1 Planet rotational velocity (km/s) 1 2 χ 2 =52.3-1 -4-2 2 3 5 No rotation marginally excluded (1.5σ) 4 7 P rot =1.7 6 Equatorial excess vel. (km/s) χ 2 =35.6-4 -2 2-4 -2 2 4 Planet rest-frame velocity (km/s) Full χ 2 maps of fitted parameters 1 8 6 4 2 1 P rot =1. χ 2 =65.5 Observed CCF CCF of models Residuals 1 2 1 2 3 4 5 6 7-1 Planet rotational velocity (km/s) 3 4 5 7σ 6σ 5σ 4σ 3σ 2σ 1σ 26

Measuring line broadening from the CCF Planet RV amplitude (km/s) 2 15 1 5 1 3 2 Co-added CCF / σ CCF 4 5 2 6 5-5 Best-fit value Synchronous rotation Challenge: CCF is not the true planet profile P rot = 3 7 1 2 3 4 5 6 7 6-1 Planet rotational velocity (km/s) 1 2 χ 2 =52.3-1 -4-2 2 3 5 4 7 P rot =1.7 6 Equatorial excess vel. (km/s) χ 2 =35.6-4 -2 2-4 -2 2 4 Planet rest-frame velocity (km/s) Full χ 2 maps of fitted parameters 1 8 Equatorial 6 super-rotation unconstrained 4 2 1 P rot =1. χ 2 =65.5 Observed CCF CCF of models Residuals 1 2 1 2 3 4 5 6 7-1 Planet rotational velocity (km/s) 3 4 5 7σ 6σ 5σ 4σ 3σ 2σ 1σ 27

Day-to-night side winds 5 Co-added CCF / σ CCF -5-1 -4-2 2 4 Planet rest-frame velocity (km/s) V rest = ( 1.7 +1.1 1.2) km/s Compare with optical high-resolution transmission spectra (Na doublet) Wyttenbach+ (215) V rest = ( 8±2) km s -1 Louden+ (215) V rest = ( 1.9 +.7.6) km s -1 28

Day-to-night side winds 5 Co-added CCF / σ CCF -5-1 -4-2 2 4 Planet rest-frame velocity (km/s) V rest = ( 1.7 +1.1 1.2) km/s Compare with optical high-resolution transmission spectra (Na doublet) Wyttenbach+ (215) V rest = ( 8±2) km s -1 Louden+ (215) V rest = ( 1.9 +.7.6) km s -1 NB: Our data constrains independently orbital, rotational, and wind velocity! 28

Targeting smaller and fainter planets Brogi+ in prep. 1. Sample size: 124 Observable: 1 Detectable S/N>5: 6 Current sample (H < 11 mag) 2654 2256 Planet mass (M Jup ) 1..1.5 1. 1.5 Planet radius (R Jup ) S/N 3 2 1 5 <5 1857 1458 159 661 Equilibrium temperature (K) Sample: H < 11 mag, M P >.5 M Jup, R P >.35 R Jup Simulations: APO 2.5m + Apogee (R=22,5, full H band) Spectrum: 1.5-1.7µm, H2O spectrum for HD 189733 b, scaled by: scale height, planet/star radius, host-star H-band magnitude

Trading mirror size for better spectrographs Apogee@APO: ~7% S/N of VLT/CRIRES for equal observing time VLT Apogee SNR (Apogee/VLT) Mirror size 8.2m 2.5m.35 Spectral resolution 1, 22,5.47 Spectral range 5 nm 19 nm 1.9 Throughput 2.-2.5% ~15% 2.6 Total.71 Detection estimated by observing a target every time there is a transit Work in progress CH 4 and CH 4 +H 2 O models: relative VMRs Apply the calculations to the expected yield of TESS (Sullivan+ 215)

Work in progress: HDS in the TESS era TESS yield from Sullivan+ 215 25, target stars 1,7 detections 67 R P > 4 R 1,1 with 2 R < R P < 4 R 556 with R P < 2 R : 419 around M-dwarfs 137 around FGK stars 13 brighter than K = 9 mag Adapting the APO simulations to range of spectra for super-earths Exploring a range of current and next-generation NIR spectrographs

Spectral and spatial resolution combined: β Pic b 1996 - ESO 3.6m + ADONIS (first imaged in 1984) VLT 8m + NACO Image: courtesy of D. Ehrenreich

Spectral and spatial resolution combined: β Pic b Snellen+, Nature, 214 Young exoplanet (12-21 Myr).44 separation (8.8 AU) 2.6 1-4 contrast " No change in planet RV during the night (Combining high-dispersion spectroscopy and high-contrast imaging, Snellen+ 215) GPI first light - β Pic b" Macintosh et al. (214) +

Spectral and spatial resolution combined: β Pic b Snellen+, Nature, 214 Young exoplanet (12-21 Myr).44 separation (8.8 AU) 2.6 1-4 contrast " No change in planet RV during the night (Combining high-dispersion spectroscopy and high-contrast imaging, Snellen+ 215) MACAO@VLT" (Simulated) + +

Spectral and spatial resolution combined: β Pic b Snellen+, Nature, 214 Young exoplanet (12-21 Myr).44 separation (8.8 AU) 2.6 1-4 contrast " No change in planet RV during the night (Combining high-dispersion spectroscopy and high-contrast imaging, Snellen+ 215) MACAO@VLT" (Simulated) + +.2 slit

Spectral and spatial resolution combined: β Pic b Snellen+, Nature, 214 Young exoplanet (12-21 Myr).44 separation (8.8 AU) 2.6 1-4 contrast " No change in planet RV during the night (Combining high-dispersion spectroscopy and high-contrast imaging, Snellen+ 215) MACAO@VLT" (Simulated) CRIRES@VLT - 1 hr @ 2.3µm - seeing 1.-1.3-22 spectra + +.2 slit The stellar spectrum is everywhere the same (scaling factor) Spectral direction Spatial direction

Spectral and spatial resolution combined: β Pic b Snellen+, Nature, 214 Young exoplanet (12-21 Myr).44 separation (8.8 AU) 2.6 1-4 contrast " No change in planet RV during the night (Combining high-dispersion spectroscopy and high-contrast imaging, Snellen+ 215) MACAO@VLT" (Simulated) CRIRES@VLT - 1 hr @ 2.3µm - seeing 1.-1.3-22 spectra + +.2 slit Star position Planet position The stellar spectrum is everywhere the same (scaling factor) Spectral direction Spatial direction

β Pic b rotates in only 8 hours! Cross-correlation function broadened by 27 km/s Cross correlation with model CO signal (S/N=6.5) 34

β Pic b rotates in only 8 hours! Cross-correlation function broadened by 27 km/s Cross correlation with model CO signal (S/N=6.5) A test for the next decade! High Contrast Imaging: 1-4 planet/star contrast High-Dispersion Spectroscopy: 1-5 core/continuum contrast (photon limited) 1-9 planet/star contrast achievable 34

Simulating HDS+HCI: Metis @ E-ELT Earth-like planet (R=1.5 R, T=3K) orbiting α Cen B (Snellen+ 215).4 39m E-ELT 3 hours 4.85 µm R=1, (IFU) Sky y-distance ( ).2. -.2 -.4 Traditional imaging 8σ (3 hrs) 5σ (1 hrs).2. -.2 Traditional imaging + Integral field, hi-res spectroscopy -.4 CCF sliced at RV=3 km/s..5 1. Sky x-distance ( )

Terrestrial planets around dwarf stars The planet/star contrast increases for smaller stars Solar-type star M5-dwarf You are here! M-dwarfs are the most-common stars in the solar neighborhood!

Transiting terrestrial planets around M-dwarfs O 2 in transmission Earth-size planets orbiting M-dwarfs 1/3 of the dayside signal from τ Boo b Challenge: I = 1-11 mag (M-dwarf) vs. K = 3.4 mag (τ Boo) -5 Signal x 1 5-1 -15 O2 of Earth around an M5V star CO in τ Bootis b (F7V star) 76 762 764 766 768 23 231 232 233 234 Wavelength (nm) Extremely Large Telescopes + Hi-res spectroscopy 39m E-ELT, 3 transits (3 years) 5σ detection!

Conclusions High-resolution transmission spectroscopy can characterize exoplanets Robust molecular detections Masses, inclinations of non-transiting planets Winds and planet rotation Inversion layers Relative molecular abundances and C/O ratio Can be combined with direct imaging Ideal to complement JWST in following-up TESS targets Potentially suitable for targeting rocky planets in HZ of M-dwarfs! 38