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The natural emergence of the SFR-H2 surface density relation in - - PowerPoint PPT Presentation

The natural emergence of the SFR-H2 surface density relation in galaxy simulations Alessandro Lupi (Institut dAstrophysique de Paris) THE ROLE OF GAS IN GALAXY DYNAMICS with: S. Bovino, P. R. Capelo, M. Volonteri, J. Silk October 2nd, 2017


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The natural emergence of the SFR-H2 surface density relation in galaxy simulations

Alessandro Lupi (Institut d’Astrophysique de Paris) with: S. Bovino, P. R. Capelo, M. Volonteri, J. Silk

THE ROLE OF GAS IN GALAXY DYNAMICS

October 2nd, 2017 University of Malta

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SLIDE 2

The observed KS relation

October 2nd, 2017 University of Malta

Bigiel+2008

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SLIDE 3

Standard prescription: H2-based prescription:

(Gnedin+09, Christensen+12, Hopkins+14, Tomassetti+15, Pallottini+17, Hopkins+17)

H2-based star formation

ρg > ρg,thr (Tg < Tg,thr)

BUT

Recent theoretical studies have revealed a lack of causal connection between H2 and SF (Krumholz et al. 2011, Clark et al. 2012). The formation of H2 is controlled by SF, or, in general, by the gravitational collapse of atomic gas, not vice versa (Mac Low 2016).

MORE LIKELY

˙ ρSF = ερgas tff ˙ ρSF = ε0fH2 ρgas tff

October 2nd, 2017 University of Malta

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SLIDE 4

(Turbulent magnetized clouds)

Star formation model

ps(s) = 1 p 2πσ2

s

exp[−(s − s0)2 2σ2

s

]

Padoan & Nordlund 2011

σ2

s = ln(1 + b2M2)

The critical density for SF is related to the magnetic shock jump conditions and to the magnetic critical mass for collapse

scrit = ln ⇥ 0.067θ−2αvirM2⇤ " = ✏? 2t exp(3 82

s)

" 1 + erf 2

s − scrit

p 22

s

!# αvir = 5σ2

vL/(6GMcloud)

Federrath & Klessen 2012

October 2nd, 2017 University of Malta

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SLIDE 5

Physically motivated SF SN feedback + Mass losses from low-mass stars Interstellar radiation field Clumping factor

Numerical setup

Galaxy with typical z=3 properties NFW DM halo + exp. decay: Rvir = 45 kpc Mhalo = 2x1011 M⦿ Stellar + gaseous disc: R0 = 1.28 kpc Mstar = 1.6x109 M⦿ ; Mgas = 2.4x109 M⦿ Hernquist stellar bulge: a = 0.256 kpc Mbulge = 8x108 M⦿ Evolved for 400 Myr in isolation GIZMO mesh-less finite mass KROME Non-eq. chemistry (Photochemistry)

GIZMO-KROME

October 2nd, 2017 University of Malta

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SLIDE 6

The Interstellar radiation field

We implemented two sub-grid models and compared them with a full-RT simulation. Model ‘S’ τ = σeff mH (ρgRmax |rρg|R2

max/2)

F = X

i

Li,? 4πd2

i

exp(−τi) lSob = ρg |rρg| τ = X

j

σj,binnjλ

October 2nd, 2017 University of Malta

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SLIDE 7

The Interstellar radiation field

Model ‘T’ lSob = ρg |rρg| F = "X

i

Li,? 4πd2

i

exp(−τi) # exp(−τg) Around star: Around gas: λJ = √πcs √Gρ

October 2nd, 2017 University of Malta

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RT in GIZMO

Momentum method with M1 closure scheme (Rosdahl et al. 2013) 1 c ∂Iν ∂t + n · rIν = Sν kνIν      ∂N⌫ ∂t + r · F⌫ = N ?

⌫ k⌫cN⌫

∂F⌫ ∂t + c2r · P⌫ = k⌫cF⌫ Hopkins et al. (in preparation)

October 2nd, 2017 University of Malta

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SLIDE 9

The clumping factor

Rf(H2) = 3 × 1017nHtotntotZ/Z cm3s1 hRf(H2)i = 3 ⇥ 1017hnHtotntotiZ/Z cm3s1 hRf(H2)i = 3 ⇥ 1017hnHtotihntotiCρZ/Z cm3s1 PDF averaged rate Express using average density Cρ = hρ2i hρi2 = exp(σ2

s) = 1 + b2M2

October 2nd, 2017 University of Malta

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The effect of the interstellar radiation

G_RAD_S G_RT G_RAD_T

4 2 2 4

log nHtot (cm3)

1 2 3 4 5 6 7

log T(K)

103 104 105 106 107

M (M)

4 2 2 4

log nHtot (cm3)

6 5 4 3 2 1

log fH

103 104 105 106 107

M (M)

4 2 2 4

log nHtot (cm3)

0.0 0.2 0.4 0.6 0.8 1.0

fH2

103 104 105 106 107

M (M)

4 2 2 4

log nHtot (cm3)

0.0 0.2 0.4 0.6 0.8 1.0

fH2

103 104 105 106 107

M (M)

4 2 2 4

log nHtot (cm3)

1 2 3 4 5 6 7

log T(K)

103 104 105 106 107

M (M)

4 2 2 4

log nHtot (cm3)

6 5 4 3 2 1

log fH

103 104 105 106 107

M (M)

4 2 2 4

log nHtot (cm3)

0.0 0.2 0.4 0.6 0.8 1.0

fH2

103 104 105 106 107

M (M)

4 2 2 4

log nHtot (cm3)

6 5 4 3 2 1

log fH

103 104 105 106 107

M (M)

4 2 2 4

log nHtot (cm3)

1 2 3 4 5 6 7

log T(K)

103 104 105 106 107

M (M)

October 2nd, 2017 University of Malta

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The effect of the interstellar radiation

100 101 102 103

Σgas (M/pc2)

104 103 102 101 100

˙ Σ? (M/yr/kpc2)

G RAD S G RT G RAD T 101 100 101 102 103

ΣH2 (M/pc2)

102 101 100 101 102 103

˙ Σ? (M/Gyr/pc2)

0.1 Gyr 1 Gyr 10 Gyr G RAD S G RT G RAD T

October 2nd, 2017 University of Malta

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What’s next

zfin = 6 Mvir ~ 2x1012 M⦿ —————————— Mgas = ~ 1.5x104 M⦿/part MDM = ~ 8x104 M⦿/part —————————— Ngas = 6.75x107 NDM = 6.75x107 NDM,low = 2.2x107 —————————— 휖gas,min = 40 cpc | 2.5 pc 휖DM = 640 cpc | 40 pc 휖star = 192 cpc | 12 pc 2) Formation of C+ in dwarf galaxies, using a more complete network including C, O an Si. 1)

October 2nd, 2017 University of Malta

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Conclusions

We developed a new model to accurately track H2 in numerical simulations using the package KROME, including photochemistry, SF, SNe, stellar radiation and shielding (gas, dust, H2). We tested the model on an idealised setup of an isolated galaxy with typical properties of z=3 galaxies, assessing the effect of the different processes included.

  • We found that the correlation between H2 and SF surface densities can be naturally

reproduced, if we account for all the most important processes and for a self-consistent clumping factor.

  • We found that the correlation is also maintained at low H2 surface densities.
  • We concluded that an H2-dependent SF prescription is not necessary and also

unmotivated.

October 2nd, 2017 University of Malta

Lupi et al. 2017 (submitted) - soon on ArXiv

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SLIDE 14

Thanks for your attention

October 2nd, 2017 University of Malta