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Structure and evolution of transiting giant planets: a Bayesian - - PowerPoint PPT Presentation

INAF - Osservatorio Astrofisico di Torino Structure and evolution of transiting giant planets: a Bayesian homogeneous determination of orbital and physical parameters Aldo S. Bonomo S. Desidera, A. F. Lanza, A. Sozzetti, S. Benatti, F. Borsa,


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SLIDE 1

Structure and evolution of transiting giant planets: a Bayesian homogeneous determination of

  • rbital and physical parameters

Aldo S. Bonomo

  • S. Desidera, A. F. Lanza, A. Sozzetti, S. Benatti, F. Borsa,
  • S. Crespi, M. Damasso, R. Claudi, R. Gratton, and

the GAPS (Global Architecture of Planetary Systems) team

INAF - Osservatorio Astrofisico di Torino

OHP Colloquium “20-years of giant planets”, 05-09/10/2015

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Why a homogeneous determination of orbital and physical parameters of transiting giant planets?

  • Eccentricities often fixed to zero in the discovery papers when found with

low significance. However, in this way no uncertainties are provided and in some cases small but significant eccentricities can not be excluded

  • RV data of some systems obtained with different instruments have never

been combined to improve the orbital solution

  • Jitter terms often not taken into account in the orbital fit ➪ underestimation
  • f eccentricity uncertainties ➪ sometimes spurious eccentricities
  • Previous homogeneous studies of orbital eccentricities of giant planets

included only 65 systems (Pont+11, Husnoo+12) while >250 giant transiting planets are known today.

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SLIDE 3

Our sample: 211 giant transiting planets including 45 systems observed with HARPS-N@TNG

  • Choice of the targets:
  • giant planets with Mp > 0.1 MJup (WASP, HATnet, CoRoT, Kepler, etc.)
  • planets with a precision on the mass better than 30%
  • planets published before 2014
  • planets in non-compact systems
  • Collection of RV data from the literature:
  • datasets with number of observations nmeas ≥ 4
  • Rossiter measurements were discarded and not included in the orbital fit
  • New HARPS-N data for 45 systems:
  • HARPS-N nmeas ≥ 6 for each system spread over 2.5 yr
  • RV precision ~2-5 m/s (exposure times ~ 15 min)

data collected within the Global Architecture of Planetary System (GAPS) consortium (80 nights/yr with HARPS-N during 2012-2015) with the aim of

  • searching for planetary companions in wider orbits
  • studying properties of giant planets (eccentricity, alignment, semi-major axis) in

single and multiple systems (aiming at extending the investigation of Knutson+14)

  • improving orbital parameters
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SLIDE 4

Homogeneous determination of orbital and physical parameters through Bayesian analysis of RV data

  • DE-MCMC (differential evolution Markov chain Monte Carlo) technique, that is the MCMC

version of the DE genetic algorithm (e.g., TerBraak 2006, Eastman et al. 2013), to derive the posterior distributions of orbital parameters. The DE-MCMC guarantees optimal exploration of the parameter space and fast convergence through the automatic choice of step scales and

  • rientations to sample the posterior distributions
  • Free parameters: T0, P, ecosω, esinω, K, slope, and RV zero points Vr and jitter terms for

each dataset ➪ up to 16 free parameters for the maximum number of datasets (5)

  • Priors:
  • gaussian on T0 and P from photometry (most updated ephemeris from TEPCat)
  • gaussian on occultation times from the ground and/or from space (e.g., Spitzer)
  • uniform on Vr, e, and K
  • modified Jeffrey's priors on jitter terms
  • Method: a number of chains equal to twice the number of free parameters are run

simultaneously; the analysis stops when convergence and well mixing of the chains are achieved according to Ford (2006): Ȓ < 1.01 and Tz > 1000

  • Physical planet parameters (Mp, ρp, log gp) from our orbital parameters (K and e) and the most

updated values of Ms, i, Rp, P taken from the literature.

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SLIDE 5

First results (I): eccentricities

  • Two new significant eccentricities not reported in the literature
  • Four significant eccentricities in the literature consistent with e=0
  • Uncertainties on eccentricities for a few systems observed with HARPS-N reduced

by a factor of ~3-10

blue circles: HARPS-N data green circles: literature measurements

WASP-13

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SLIDE 6

First results (II): long-term trends and outer companions

  • Different or inverted slopes for three long-

term trends known in the literature (curvatures due to an outer companion or activity cycles)

Ex.: XO-2N although, unlike Knutson et al. (2014), we attribute its curvature to an activity cycle rather than a long-period companion. (see Damasso, Biazzo, Bonomo et al. 2015)

  • Two long-term trends with the same slope

as reported in the literature

  • No slope for two long-term trends reported in

the literature (still consistent with presence of trends if we are sampling the maximum/ minimum of the curvature)

XO-2N curvature blue circles: HARPS-N data green diamonds: SUBARU data red squares: HIRES data Damasso, Biazzo, Bonomo et al. 2015 XO-2N: RV res vs R’HK

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SLIDE 7

First results (II): long-term trends and outer companions

  • One new long-period companion, KELT-6c,

discovered and characterized with a HARPS-N/TRES coordinated RV campaign (Damasso et al. 2015b):

KELT-6c: P=1267 ± 80 d; a=2.39 ± 0.11 au Mp sini=3.7 ± 0.2 MJup; e=0.21 ± 0.04 KELT-6b: P=7.84 d; a=0.080 ± 0.001 au Mp=0.44 MJup; e < 0.04 λ = -36 ± 11 deg

blue circles: HARPS-N data; green diamonds: TRES data; red diamonds: HIRES data KELT-6 RVs (Damasso+15b) KELT-6 Rossiter (Damasso+15b)

HARPS-N Name P (d) e λ (deg) KELT

  • 6b

7.8 < 0.04

  • 36 (11)

HAT

  • P-13b

2.9 0.0133 (0.044) 1.9 (8.6) HAT

  • P-17b

10.3 0.342 (0.004) 19 (16) WASP-8b 8.2 0.310 (0.003)

  • 123 (4)

WASP-41b 3.0 < 0.026

  • 28 (13)

WASP-47b 4.2 ? (likely circular) 0 (24)

Other transiting hot Jupiters with well-characterized outer planetary companions

Bakos+09, Fulton+13, Queloz+10, Knutson+14, Neveu-VanMalle+15, Sanchis-Ojeda+15

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SLIDE 8

A surprise: the curious case of TrES-4b

We found a RV semi-amplitude K=51±3 m/s that is significantly lower than K=97±7 m/s reported in the literature (Sozzetti, Bonomo et al. 2015) ⇩ Mp=0.494±0.035 MJup vs Mp=0.84±0.10 MJup

blue circles: HARPS-N data (Sozzetti+15) green diamonds: HIRES data (Mandushev+07) red squares: HIRES data (Knutson+14)

The reason of the discrepancy is not

  • clear. In any case, TrES-4b turned
  • ut to be the hot Jupiter with the

second lowest-density known:

ρp = 0.099 ± 0.015 g cm-3 !!

purple squares: ρp ≤ 0.25 g cm-3 grey circles: 0.25 < ρp < 1.50 g cm-3 green triangles: ρp ≥ 1.50 g cm-3

(Sozzetti, Bonomo et al. 2015) TrES-4b

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SLIDE 9

Tidal interactions and the orbital evolution of hot Jupiters

Close-in giant planets can not form where they are now. How do they get there?

  • disk migration ➪ circular orbits and spin-orbit alignments (unless the primordial disk was

misaligned)

  • high-eccentricity migration [i.e. multi-body interactions involving planet-planet scattering or

Kozai interactions (perturbations by an outer stellar or planetary companion in an inclined

  • rbit), followed by tidal dissipation at periastron]

➪ circular (eccentric) orbits of short-period (long-period) planets, both spin-orbit alignments and misalignments, and a ≳ 2 aR aR is the Roche limit, i.e. the critical separation where the planet fills its Roche lobe: aR = 2.16 Rp (Ms/Mp)1/3

tidal dissipation at periastron: a↓ and e↓

See, e.g., Faber et al. (2005), Ford & Rasio (2006), Pont et al. (2011), Valsecchi & Rasio (2014)

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SLIDE 10

Tidal diagram

  • ○ : well-determined circular orbits (σe < 0.05)
  • + : orbits compatible with e=0 but with large

uncertainties (σe > 0.05)

  • orange triangles: e < 0.1
  • blue squares: e > 0.1
  • solid line: a = aR
  • dashed line: a = 2 aR
  • dotted line: 1-Gyr circularization time scale

(P=3 d, Q’p=106, e=0)

The updated tidal diagram (Pont et al. 2011) shows the impact of star-planet tidal interactions on giant planet orbital parameters: all the transiting giant planets with e > 0.1 have large separations and/or high masses, and most of them are on the right side of the 1-Gyr circularization time scale τe .

Bonomo et al., in prep.

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SLIDE 11

The mass-period diagram

Confirmation of previous trends seen with a much smaller sample (e.g., Pont et al. 2011):

  • Mp < 1 MJup: planets stop at a ≳ 2 aR (circularization radius)
  • Mp ~ 1-2 MJup: a few planets can move closer to the host star (aR < a < 2 aR)
  • Mp ≳ 4 MJup: dearth of close-in (circular) planets: they rise tides in the star strong

enough for angular momentum exchange and tidal decay till they end up in the star.

  • ○ : well-determined circular orbits (σe < 0.05)
  • + : orbits compatible with e=0 but with large

uncertainties (σe > 0.05)

  • orange triangles: e < 0.1
  • blue squares: e > 0.1
  • solid line: a = aR
  • dashed line: a = 2 aR

Bonomo et al., in prep.

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SLIDE 12

The α distribution

α = a / aR a: semi-major axis aR: Roche limit

  • solid line: planets with well-determined

circular orbits (σe < 0.05)

  • dashed line: planets whose orbits are

compatible with e=0 but with large uncertainties (σe > 0.05)

The orbital radius of the vast majority of circular planets is a ≳ 2 aR, with a distribution which peaks at α = 2.75. This favours the high-eccentricity migration scenario against the disk-migration scenario

Bonomo et al., in prep.

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SLIDE 13

Estimating planetary and stellar modified tidal quality factors

Q’p = 3Q / 2k2 , where Q is the tidal quality factor and k2 the Love number. Q’p is a parameterization of the response of the planet’s interior to tidal perturbation. It is related to planet internal structures: the higher Q’p, the lower the internal tidal dissipation.

  • circular orbit τcirc < τage ➩ upper limits on Q’p
  • eccentric orbit τcirc > τage ➩ lower limits on Q’p & Q’s

(see Matsumura et al. 2008)

104 ≲ Q’p ≲ 109 Q’p ↑ for a ↓ Q’s ↑ for Teff ≳ 6200 K

Q’p upper limits Q’p lower limits Q’s lower limits

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SLIDE 14

Some hot Jupiters certainly underwent disk migration

Latham et al. 2011: most of Kepler close-in giant planets have no transiting planetary

  • companions. But there are a few exceptions...

The planetary system Kepler-101 (Rowe et al. 2014; Bonomo et al. 2014)

Kepler-101b P=3.49 d; Rp=5.8 R⊕; Mp=51 M⊕ Kepler-101c P=6.03 d; Rp=1.25 R⊕; Mp<3.8 M⊕

Bonomo, Sozzetti, Lovis et al. (2014)

“Reversed” planetary system: during the differential migration in Type I regime, the Earth-sized planet Kepler-101c likely survived the passage of Kepler-101b, was scattered into a wider orbit, and then migrated towards its current position.

blue circles and red diamonds: GTO HARPS-N data

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SLIDE 15

The planetary system WASP-47 (Hellier et al. 2012; Becker et al. 2015; Neveu-VanMalle et al. 2015)

Some hot Jupiters certainly underwent disk migration

K2 data (Becker+15)

  • ne additional long-period companion (Neveu-VanMalle+15):

Aligned system: λ = 0 ± 24 deg (Sanchis-Ojeda et al. 2015)

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SLIDE 16

Summary and conclusions

  • homogeneous Bayesian DE-MCMC determination of orbital and physical parameters of 211

giant planets including 45 systems observed with HARPS-N@TNG

  • orbital eccentricities: two new significant eccentricity; four significant eccentricities reported in

the literature consistent with e=0; uncertainties in some cases reduced by a factor of 3-10

  • trend/companions: 1 new long-period planet, 3 trends with different/inverted slopes, no slope

for 2 reported trends (still compatible with curvature)

  • tidal and mass-period diagrams, and the α=a/aR distribution would favour the high-

eccentricity migration scenario rather than disk migration but the latter still occurs (e.g., Kepler-101 and WASP-47 systems)

  • new upper and lower limits to Q’p and Q’s : low tidal dissipation rates (high Q’p) are required

to explain the closest hot Jupiters

  • ~33% (~12%) of eccentric (clearly circular) giant planets in our sample have an outer

companion detected in RVs

Perspectives

  • continuation of HARPS-N RV monitoring to unveil long-term trends, characterize outer

companions, and improve orbital parameters

  • properties of giant planets (eccentricity, alignment, semi-major axis) in single and multiple

systems, by taking detection limits into account and extending the investigation of Knutson+14

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SLIDE 17