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Carole Haswell, The Open University

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predictions of supersonic irradiation-driven winds: cross hemisphere in 105 s ... Tint: intrinsic Teff (i.e. as if no irradiation) affects T-P profile ... – PowerPoint PPT presentation

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Title: Carole Haswell, The Open University


1
HST observations of transiting exoplanets
  • Carole Haswell, The Open University

2
Talk Outline
  • Why study transiting exoplanets?
  • Recent theoretical developments ( limitations
    thereof)
  • How we can test these with the new HST
  • What it might mean for the big picture

3
Why study transiting exoplanets?
The only planets outside the solar system for
which we can measure mass and radius
  • Density varies by 5
  • High precision photometry precise radius
  • constrain theories of planetary formation,
    evolution
  • Parameters jointly governing giant planet size
  • Mass, age,
  • stellar irradiation,
  • atmospheric composition circulation
  • presence mass of inner core
  • convert Spitzer flux into brightness temperature

4
Exoplanet atmospheric chemistry
  • Transmission spectroscopy depth(?)
  • Line opacity and silhouette radius
  • characterise atmospheric physics and chemistry

From Brown (2001) ApJ 553 1006
5
Giant Exoplanet atmospheric modellingdayside
nightside contrast
  • Many planets are really hot Jupiters Teql
    1500K
  • Intense heating drives global-scale atmospheric
    dynamics
  • predictions of supersonic irradiation-driven
    winds cross hemisphere in 105 s (Cooper and
    Showman 2006)
  • Disequilibrium chemistry?
  • Fast reactions on hot dayside
  • Frozen-in molecular abundances on cool night
    side?
  • Spitzer observations of ?And b and HD 179949b
  • show little sign of redistribution of energy (at
    24µm and 8 µm photospheric depth)
  • predictions of supersonic irradiation-driven
    winds cross hemisphere in 105 s
  • Vertical mixing too, poorly understood

6
Example 2D, high resolution simulation
Dynamical flow tracer (PV) in simulation of HD
209458b (Cho et al. 2003)
7
Giant Exoplanet atmospheric modelling
  • Neutral atmosphere around cloud decks,
    responsible for most emission
  • Coupling with interior not understood, even for
    Jupiter
  • coupled atmosphere-interior model a target
  • Many models,
  • various simplifications
  • Wide range of predictions!
  • Field will be driven by observations for
    forseeable future!

8
Giant Exoplanet atmospheric modelling
  • Upper atmosphere can be modelled by simplified
    general circulation model (GCM)
  • Assumes quasi hydrostatic-equilibrium, but still
    expensive!
  • Can study atmospheric flow regimes and heat
    transport under different parameters
  • predict spectra
  • 3D hydro treatment (Dobbs-Dixon Lin 2007)
  • High opacities ? large day/night T contrast
  • Low opacities ? low day/night T contrast

9
Why HST?
  • Until recently HST alone had detected exoplanet
    atmospheric chemistry (Redfield et al
    arXiv0712.0761)
  • Transit durations few hours
  • timescale of telluric atmospheric extinction
    effects
  • extinction correction is never perfect
  • dominant source of systematic error (Bakos et al
    2006)
  • HST above earths atmosphere stable platform
  • well-supported observatory
  • instruments exceed spec
  • expert program coordinators, instrument
    scientists (Tony Roman)
  • HST likely to continue to lead in this area.

10
2 Classes of Hot Jupiters
pM Class hot enough for gaseous TiO and VO pL
Class TiO and VO condensed
Fortney et al 2007
11
pM and pL class planets
Prediction hot stratosphere for pM class 6
enhancement in transit depth
  • radius(?)

Fortney et al 2007
12
pM and pL class planets
Prediction 6 enhancement in transit depth
distinct radius(?) curves Test with NICMOS
(now), STIS, WFC3? and/or ACS? Possible advances
i) cold-trap not well-understood
ii) atmospheres not iterated to
radiative- convective equilibrium
- may affect emergent spectrum - how
important is disequilibrium chemistry?

Fortney et al 2007
13
Dust Cloud Formation Alkali lines
Alkali lines strongly dependent on model used for
dust formation
DUST MODEL
line profile model
Jonas et al arXiv08013544
14
Dust Cloud Formation Alkali lines
  • Calculation of formation and composition of dust
    grains
  • Alters elemental abundances
  • Alters atmospheric temperature profile
  • Changes gas phase chemistry
  • Alters line profiles

Alkali lines strongly dependent on model used for
dust formation
Jonas et al arXiv08013544
15
Dust Cloud Formation Alkali lines
  • Measure line profiles with STIS
  • Correlate line profiles with T,P, convective
    velocity, chemistry
  • Refine the models

Alkali lines strongly dependent on model used for
dust formation
Jonas et al arXiv08013544
16
Dust Cloud Formation Alkali lines
  • Measure line profiles with STIS
  • Correlate line profiles with T,P, convective
    velocity, chemistry
  • Refine the models

Alkali lines strongly dependent on model used for
dust formation
Jonas et al arXiv08013544
17
COS looks like great new instrument!
  • 10x previous UV sensitivity
  • Detailed transmission spectroscopy of atmospheres
    possible
  • Probe composition, vertical structure, mass loss
  • Probe atmospheric dynamics?

See next talk!
HD 209458b Ly a silhouette
Vidal-Madjar et al (2003) Nature 422, 123
18
COS looks like great new instrument!
  • HD 209458b ACS/PRISM observations
  • UV transit radius gt optical transit radius
  • Detailed COS transmission spectroscopy to reveal
    why
  • r(?)

Désert et al (2003) poster outside
See next talk!
HD 209458b Ly a silhouette
Vidal-Madjar et al (2003) Nature 422, 123
19
COS looks like great new instrument!
  • 10x previous UV sensitivity
  • Activity enhancements induced by closely orbiting
    planets?
  • Need to characterise spectral line variability to
    underpin transit transmission spectroscopy
  • L dwarfs show Ly a and CIV emission
  • Detect auroral emissions from planet?
  • Measure orbital RV curve of unseen planet?
    (c.f. Bowen fluorescence in XRBs)

Moutou et al (2007) AA 473, 651
Gizis et al (2005) Froning, this conference
20
Interior structure of giant exoplanets
  • Host star constrains planet age
  • As planets cool they contract
  • ½ of known hot Jupiters are systematically
    larger than expected from standard cooling
    calculations

Hansen Barman 2007 Dotted traditional
radius solid transit radius
21
Oversized giant exoplanets
  • Physical reason still unclear need
  • additional heating (e.g. tidal forcing)
  • or less efficient heat loss (irradiation
    ineffective convection)
  • or non-standard composition due to formation
    history
  • or ?

Chabrier Baraffe 2007 Molecular weight gradient
mimics semi-convection Red, blue layered
convection Black traditional, adiabatic
convection, with and without core

22
Interior Structure meets observations?
  • Tint intrinsic Teff (i.e. as if no
    irradiation) affects T-P profile
  • hence affects emergent spectrum particularly pL
    pM border
  • hence gives a handle on planets (cooling) age

Fortney et al 2007
Tint 250K,150K
Charbonneau et al 2006
23
How does this fit into a big picture?
  • Close-in extrasolar giant planets one extreme
    of planetary demographics
  • Formation, Migration
  • Models nascent
  • Structure huge variation in density
  • Only partly explained by age
  • Many parameters jointly govern radius
  • Need large sample
  • Understand as an ensemble
  • Much theoretical activity
  • Various approximations and approaches
  • Many disparate predictions
  • Observations will drive the field

24
Refurbished HST should make a huge contribution
  • radius determinations
  • constrain structure models
  • Measurements of atmospheric chemistry
  • influence of dust, dynamics
    disequilibrium chemistry on
    atmospheric structure
  • coupling of atmosphere with interior
  • intrinsic temperature, planetary age?
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