BinaryStars - Lund Observatory - Lund Observatory Jean-Louis Halbwachs Strasbourg Observatory J.-L....

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Binary Stars Jean-Louis Halbwachs Strasbourg Observatory J.-L. Halbwachs Elsa School - 22 November 2007 2 Summary 1. The “double star zoo”: visual binaries (wide and orbital), astrometric b., spectroscopic b., eclipsing b.. General description and physical parameters. 2. Statistical properties of unevolved binaries: derivation and interpretation. 3. Formation models.

Transcript of BinaryStars - Lund Observatory - Lund Observatory Jean-Louis Halbwachs Strasbourg Observatory J.-L....

Binary Stars

Jean-Louis Halbwachs Strasbourg Observatory

J.-L. Halbwachs Elsa School - 22 November 2007 2

Summary

1. The “double star zoo”: visual binaries (wide and orbital), astrometric b., spectroscopic b., eclipsing b.. General description and physical parameters.

2. Statistical properties of unevolved binaries: derivation and interpretation.

3. Formation models.

J.-L. Halbwachs Elsa School - 22 November 2007 3

Wide Visual Binaries (1)

Mizar and Alcor : a 1800 AU binary ?1768 : Michell calculates the probability to get optical double stars by random, and concludes it is too low for considering that double stars are just due to perspective.

1852: Struve’s formula (1852) : When N stars are in the area A, the number of optical pairs closer than separation ρ is:

n(ρ) = N(N-1) π ρ2/2A

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Wide Visual Binaries (2)

This technique for discriminating optical and physical binaries is still more efficient when applied to pairs of stars with common parallaxes, proper motions and radial velocities.

The distribution of apparent separations: a linear function for optical pairs. At the opposite, the physical binaries are as close as permitted by the resolution of the instrument.

2007 : 102 492 systems in the “ Washington Double Star “catalog, How much after Gaia ?

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The 2-body problem: Kepler’s lawsKepler’s laws : The motion of a star around its companion

1. Orbit = ellipse, with the companion star on a focus

2. Constant areal velocity

3. a3/P2 = G/4π2 (M1+ M2)⇔ aUA

3/Pan2 = (M1+ M2)/M�

The sum of the masses derived from the period, the apparent semi major axis and the parallax

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The 2-body problem: Orbit Reconstruction

r = a (1 – e 2 ) / (1 + e cos ν ) See exercise 2 for more info !

- Mean anomaly :M = 2π (t – T0) / P

- Eccentric anomaly :M = E – e sin E

E0 = M + e sin M . ( 1 – 2 e cos M + e2)1/2

M0= E0 – e sin E0

E1 = E0 + (M-M0 )/(1-e cos E0)

M1= E1 – e sin E1

etc …- True anomaly :

1+e cos ν = (1 - e2) / (1- e cos E)

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The 2-body problem: velocity

Relative velocity : v = [G (M1+.M2) (2/r - 1/a) ]1/2

• for a circular orbit : vcirc = [ G (M1+.M2)/ a ]1/2

• for parabola (a =∞) : vpara = [ 2 G (M1+.M2) / r ]1/2 , the maximum for a system gravitationally bounded

⇒ Selection of physical binaries when the proper motions and the radial velocities of the components are known.

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Orbital Visual Binaries: history1776 : Assuming double stars

are due to perspective, William Herschell tried to use them for parallax measurements..

1803 : .. And he discovered that some of them (Castor, γVir) were orbital binaries

1827 : derivation of the orbit of ξ UMa by Félix Savary

2007 : 1888 binaries with orbits in the “ 6th catalogue of visual binary orbits” (including a large proportion that were not observed on a complete period).

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Number of orbits vs period

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Angular resolution

The apparent separation must be larger than the radius of the Airy disk :

1.22 λ/DIn practice, for λ= 0.5 μ : ρ = 0.1’’/D(m)

Moreover, the limit increases with the magnitude difference

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Astrometric binaries

1844 : The first astrometric binaries are discovered by Bessel. Sirius and Procyon orbiting the barycentres of their systems (faint white dwarf companions).

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Astrometric binaries

Semi major axes :a = a1 + a2

Since a1/a2 = M2/M1 = q ,

a1 = a.q/(1 + q)

Kepler’s 3rd law becomes :a1

3(“) = M1 q3 D-3(pc)

P2(an) (1+q)2

Generally, a photocentre is orbiting the barycentre

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The efficiency of astrometry

a1(") = [M1(M .Pyear2 ]1/3 × [q/(1+q)2/3] / Dpc

With M1 = 1M and D = 100 pc, a equals :

440 μas280 μas95 μas18 μas0.01 M�

3500 μas2200 μas760 μas145 μas0.08 M�

10 years5 years1 year1 monthP =

With Gaia, the accuracy of individual measurements will be around 70-100 μas for bright stars.

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Spectroscopic binaries1889: Miss Maury found that the lines in Mizar spectrum are sometimes double ⇒ spectroscopic binary, P=20j, K1,2=68 km/s.

The shift of the lines ⇒ the radial velocity : VR = c . Δλ/λ

21 nov 2007 : 2653 SBs with orbits in the SB9 catalogue

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Radial velocity of a SB (1)

We define •i : the inclination •ω : the argument of periastron.

Then, the RV is derived from Kepler’s laws 1 and 2 :VR = Vγ + K1,2[e cos ω + cos (ω+ν)]

WithK1,2 = 2 π a1,2 sin i / [P (1-e2)1/2]

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Radial velocity of a SB (2)

e and ω are derived from the shape of the velocity curve

ω = 0

ω = π /2

RV curves for e=0.8, assuming ω=0, 30, 60 and 90°

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Spectroscopic binaries : masses

K1 = (2π.G.M1/P)1/3 × [q/(1+q)2/3]× sin i /(1 – e )1/2

⇒ The “mass function” :fM = K1

3km/s(1 – e2)3/2Pjours × 1,036 10-7 M�

= M1 q3 sin3 i / (1 + q)2

⇒ M1,2 sin3i when q is known (SB2)

Defining the mass ratio : q = K1 /K2 , the 3rd Kepler’s law gives :

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Efficiency of spectroscopy

K1 = 212.9 × (M1/�/Pdays)1/3 × [q/(1+q)2/3]× sin i /(1 – e )1/2 km/s

With M1 = 1M , e= 0 and i= π/2, K is :

For Gaia, the errors of individual measurements will be ERV ≥ 1 km/s, but 1 m/s may be achieved with on-ground observations

0.17 km/s0.28 km/s0.65 km/s1.4 km/s0.01M�

1.3 km/s2.3 km/s5.2 km/s11.2 km/s0.08 M�

9 km/s15 km/s34 km/s73 km/s0.7 M�

5 years1 year1 month3 daysM2 P

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Eclipsing binaries

1669 : Montanari noticed Algol variabililty1783 : Goodricke interpretation: a cloud orbiting Algol with a 69 h-period; luminosity decrease :1,3 magin 4h ½.

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Eclipsing binaries (2)

Rare: i close to π/2.

Light curve smoothed by :• limb darkening• mutual irradiation• tidal deformations of the stars

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Roche’s potential (1)

Potential in the rotating reference frame of a binary system

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Roche’s potential (2)

“Radius” of the Roche’s lobe : RR = a (0,38 + 0,2 log q)

Detached system

Semi-detachedex:. Algol

Contact systemex.: W UMa

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Algol paradoxPrimary : B8 V; M1 = 3.7 M� , R1=2.02 Gm, T1=13000 K

Secondary : K2 IV; M2 = 0.8 M�, R2=2.45 Gm, T2=4500 K, Δm=2.5

A young primary with an old under luminous secondary ??

The present secondary was the most massive component at the origin. When it became giant, a part of its mass was transferred to the companion

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Summary

∼400026531888Number

δm⇒Δm∼ Δm for SB2Δmluminosity

M1 (qsini)3/(1+q)2

M1,2 sin3i (SB2)M1 q3/(1+q)2

(for large Δm)(M1+M2)× D-3

masses

∼ a/Ra1sin i (km)a2 sin i

a1 or photocentre

apparenta

yesnoyesyesinclination ?

∼1 hA few days

A few hours

∼ 30 y∼ 1 y∼ 100 y

∼ 1 y∼ 200 y

P min

Max

Eclipsing BSpectroscopic B.Astrometric B.Visual orbitInfo\Binaries

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Merging SB and AO: the brown dwarf candidate GJ 483

GJ483 : SB1, P=271 d, e=0,784, ω = 264°, K1=1,07 km/s, K3 V ⇒M1=0,72 M �

M2 sin i = 0,016 M �a1 sin i = 2,475 Gm

+Hipparcos:a1 = 8,39 mas (astrometric orbit)ϖ = 67,47 mas ⇒ i = 8°

⇒ M2 = 0,137 M�

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Merging SB and AO

Combining Gaia astrometry and accurate on-ground RV for SB2

⇓⇓⇓⇓

Masses of components with errors ~ 1 %

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Binary stars : statistical properties

Relevant parameters :• Mass ratio, q=M2/M1, ou Δm = m2-m1. • period, or semi-major axis• eccentricityDistributions ? Correlations between parameters ?

Problems : • Derivation of the distributions (f(q) of SB1 ..)• Selection effects evaluation • Bias correction (simulation, direct methods ..)

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Selection effect : contribution of the secondary to total luminosity

For MS stars:Δm ~ - k log q

Since f(m1) ~ exp(b.m1)

(b=0.92 to 1.38),The proportion of binaries with mass ratio q is increased with coefficient:

(1 + qk/2,5) 2,5 b/Ln 10

= 2 to 2,83 for q=1

0 1q

0

1

2

3

accr

oiss

emen

t du

nom

bre

de b

inai

res

sans biais de magnitude

b=1,38

b=0,92

For a sample of binaries with the same primary spectral type and a limiting magnitude:m1+2 = m1 – 2,5 log(1 + 10-Δm/2,5)

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Selection effects : inclinations of SB orbits

The angular momentums are isotropicallyoriented ⇒ probability to get i ± di/2 :fi (i) di ∝ 2 π sin i di

therefore :fi (i) = sin i

For a spectroscopic orbit, i ∈ [0, π/2]ligne de visee

sin i

i

perpendiculaireau plan del’orbite

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Selection effects for SB: secondary masses and periods

• K = f(q, P) > ERV

• P , and observations sampling

Detection based on σRV/ERV, with threshold P(χ2) < 1 %.

SB detection depends on :

1 10 100 1000Pdays

0.0

0.1

0.2

0.3

0.4

seco

ndar

y m

ass

Detection probability of nearby SB achieved with P(χ2

) < 1 %

25 % probability detection50 %95 %

H-ignition limit

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Distribution of q for SB1From observations: Y = fM/M1 = q3 sin3i / (1+q)2

⇒ q between q(sin i =1) et q(SB2).

Simple, but wrong: sin3i = <sin3i> ⇒ q for each SB1

Iterative Richardson-Lucy algorithm :Assuming an a priori f(q), convert each Y in a probability distribution of q, ϕ(q|Y) :

ϕ(q|Y) ∝ f(q) sin i(q|Y) tan i(q|Y) , avec ∫ ϕ(q|Y) = 1

And then: f(q) = Σ ϕ(q|Y) / N

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f(q) for binaries with P< 10 y

0.0 0.5 1.0q = m2 / m1

0.0

1.0

2.0

3.0

f q(q)

P < 50 d " ±σP > 50 d " ±σ

← twinsFor G-K-M primaries, 2 modes:• 0,1 < q < 0,7 , With a “brown dwarf desert”(q<0,1) vanishing for P> 2-3 years

• q > 0.8, with a peak around q=1 (“twins”). Vanishing when P increasing.

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Eccentricity distribution

1 10 100 1000P jours

0.0

0.2

0.4

0.6

0.8

1.0

e

q > 0.8q ≤ 0.8

•Short period orbits are all circular.•Long period orbits may be very eccentric•Orbits of twins are less eccentric (for G-K MS primary).

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Tidal circularisation

Circularisation : Loss of Energy, but the angular momentum of the orbit is almost constant (except for very close binaries)⇒Constant semi latus rectum ( h = a(1-e2) ) of the orbitTidal torque ∝ 1/r6 ⇒ Dramatic transition between circularized orbits and unchanged orbits.

1 10 100 1000Psr = Pdays (1 - e

2)3/2

0.0

0.2

0.4

0.6

0.8

1.0

e

KW 181GJ 719

GJ 233

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Visual binaries: f(q) (1)Bias (ρ,Δm,m1)

f(Δm) or f(q)derived with the method of the “nested boxes” :(ρ, m1) ⇒ q limite

⇓Several f(q > qlim) which are merged thanks to their overlapping parts.

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Visual binaries: f(q) (2)

When P ≥1000years, f(q) similar to the initial mass function (IMF).

For short-period VB, f(q) is bimodal like for SB

0.4 0.5 0.6 0.7 0.8 0.9q

0.0

50.0

100.0

150.0

200.0

250.0

N f(q) = q-2.11

observed

intrinsic

The distribution of q derived from CPM stars

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Eccentricity distribution

f(e) = (e – e2)1/2

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Frequency and period distributionF7-K dwarfs: 56 % binaries. M dwarfs: 26 % binaries

Log-Normal distribution from 1 day to 10millions years<log Pdays> = 4.8

σlog P = 2.3

M dwarfs: less systems with a > 10 AU

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Formation of binary stars

The main difficulty: formation of close systems

Two kinds of processes :

Fragmentation of a collapsing cloud, or of a disk.

Capture of two forming stars, energy excess evacuated by the accretion disk.

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Collapse of an ISM cloudJeans condition:|Egrav | > Etherm

(+Erot+Eturb+Emagn∼ 0)

⇓M > MJeans ⇔ R > RJeans

R: ideal gas constantT: temperatureG: gravitation constantμμμμ: molecular weightρρρρ: density

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Fragmentation of a collapsing cloud4 phases :1. isotherm ⇒ a 1

UA core.2. quasi-static (due

to opacity)3. H2 → 2H, nearly

isotherm4. quasi-static

Fragmentation is possible at the end of phases 1 and 3; after phase 3, MJeans < 10-3M�⇒ final q =1 and a = 0.01 UA Pb : to get a unstable core after phase 3, since it should still have been broken at the end of phase 1 ....

RJ

MJ

T

1

2

3

4

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Disk fragmentation

Rotational instability fragmentation

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Capture with dispersion of circumstellar disk

Ejection of the outer part of the

disk⇓

capture

Leads to : small q, long P and large e

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Conclusion : the presentThe statistical properties are reasonably known for solar-type stars, less for M-type dwarfs, and poorly known for early-type dwarfs .The distribution of mass ratios suggests several formation processesThe distribution of periods suggests a unique formation processThe models hardly generate binaries with P < 1 year.

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Conclusion: the future

Gaia will highly improve our knowledge of the statistical properties of binaries

.. and the models will certainly follow the progresses of the statistics !!