How well do we understand outflows and accretion on cosmic scales? Romeel Davé.

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How well do we understand outflows and accretion on cosmic scales? Romeel Davé
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Transcript of How well do we understand outflows and accretion on cosmic scales? Romeel Davé.

How well do we understand outflows and accretion on

cosmic scales?Romeel Davé

Galactic Galactic OutflowsOutflows• Cold mode accretion is dense & filamentary Need

bouncer feedback to prevent overcooling: Outflows• Test outflow scaling relations by comparing hydro

simulations to outflow-related observables, e.g.:– IGM enrichment [Oppenheimer & RD 06]– Early galaxies & overcooling [RD, Finlator, Oppenheimer 07]– Mass-metallicity relation [Finlator & RD 07]– DLA kinematics [S. Hong, Katz etal in prep]– ICM metals & energy [RD etal in prep]

• A single wind scaling relation matches all these!

Quantifying Quantifying OutflowsOutflows

• Outflows rare locally, but probably the norm at z>~2.

• Two basic parameters:

– Outflow velocity: vw

– Mass loading factor: • Martin 05, Rupke etal 05:

Starbursts show vwvcirc. • Murray etal 05: Such a

scaling arises in momentum-driven winds: vwvc, 1/vc

• Implement into Gadget-2, Monte Carlo ejection of particles, vc computed from Mgal using on-the-fly finder.

Martin 2005log

Erb etal 06z~2 SFG’s

M82 MIPSEngelbracht etal

How unique is this outflow How unique is this outflow model?model?• Short answer: Not terribly.

• Key features that seem necessary to match data:– Winds eject mass & metals from ALL galaxies, not just

dwarfs.– Small galaxies expel a higher fraction of their accreted gas.– Outflow rate » star formation rate @ early epochs.

• M-D scalings work, but feel free to invent your own…

Erb et al 2006

Log W

ind k

ineti

c/Pote

nti

al

How do outflows set galaxy How do outflows set galaxy properties?properties?

• Key insight: Accreted gas is processed quickly Inflow ≈ Outflow + SFR.

SFR = Inflow/(1+). This inflow equilibrium relation broadly governs galaxy properties (e.g. SFH, Z, fgas).

• e.g. fgas is set by (M*). If this doesn’t vary with z, then fgas(M*) doesn’t vary with z [as observed].

• Energetics arguments for outflows are not relevant. Outflows don’t share energy, they blow holes and leave.

• Bottom line: is key! vwind irrelevant, beyond >vesc.

Momentum-drivenscalings

Constant vw,

Mass

outfl

ow

rate

out

of

halo

Red: input scalingsBlack: actual

z=2

What does this mean for outflow What does this mean for outflow physics?physics?• Unclear; approx scalings could in principle be generated

from momentum or energy driven winds.• SN-driven sims usually fail to remove much gas mass

from the ISM (Mac Low & Ferrara; Teyssier’s talk).• In principle, lots of momentum available from light and

stellar winds to drive gas out, but coupling unclear.• Need ISM sims of momentum-driven winds!• Much to be done on feedback… What about accretion?

log

The M*-SFR The M*-SFR RelationRelation

• Gas accretion star formation• M*-SFR constrains SFH form:

• Observations of SFGs (z~0-2):– M*SFR0.7-0.9 at all z.– Small scatter (<0.3 dex) around

“main sequence” of SFGs.– Evolution is M*-independent.

Daddi etal 07z~1.4-2.5

Elbaz etal 07z~0.8-1.2

Noeske etal 07z~0.2-1.1

M*-SFR vs. ModelsM*-SFR vs. Models• Green: Millenium

SAM • Red, magenta: SPH • Blue: Data (=0.3)

• Slope <~unity? • Scatter small? • Evolves

independent of M*?

• Evolves at observed rate? ×

Star Formation Activity Star Formation Activity ParameterParameter

(i.e. fraction of Hubble time required to form M* at current SFR).

• Models: sf~1 at all z. • Cold accretion similar

forms of SFH at all M*.• Observed: sf(z) evolves

strongly. Oops!• Possibilities:

– Simulated SFH wrong?– Measurements wrong?– Or…

Data

Models

log S

FR (

Mo/y

r)

1011M1010.5

1010

109.5

IMF wrong?IMF wrong?[insert Stacy McGaugh MOND dance][insert Stacy McGaugh MOND dance]

• Need less M* formed per unit high-mass SF

• Conservatively, SFR/M* should be reduced by ~x3 at z=2, and ~x2 at z=1: This would yield unevolving sf.

• Larson (98,05): IMF today has Mchar≈0.5 M. High-z ISM hotter Mchar higher.

• “Evolving Kroupa” IMF (0.1-100 M):

dN/dlogMM-0.3 for M<Mchar.

dN/dlogMM-1.3 for M>Mchar.

Mchar=0.5(1+z)2 M from PEGASE modeling

Evolving IMFEvolving IMF• No effect on high-

mass SF/feedback/ metals; only detectable in M* accumulation rate.

• SFR down by ~×(1+z)

• Fardal etal: Reconciling fossil light (K, EBL) and integrated cosmic SFH“Paunchy” IMF.

• Perez-Gonzalez etal (IRAC): M* to z~4. dM*/dt < SFR @z>2.

• Not crazy…

SummarySummary• It is possible to constrain basic outflow

parameters across cosmic time by comparing hydro sims to galaxy SFR and ZIGM data.

• Best matches are for scalings reminiscent of momentum-driven winds, but actual physics of wind propagation unknown.

• Mass loading factor is key: SFRZ(1+)-1.• Accretion appears to be reasonably well

understood, but at face value the evolution of SFR-M* doesn’t agree.

• An IMF that is more bottom-light at high-z is an explanation that seems equally as (un)likely as any of the alternatives, and may be favored from fossil light considerations.

Simulated SFH wrong?Simulated SFH wrong?• At z~2, observed sf~0.2.• Problem: Can’t reconcile sf~0.2 with

other data, let alone models.• Bursts? (tip of iceberg)

– M*-SFR tight; Lower SFRs would’ve been seen.

• Delayed SF? (strong early feedback)– sf~0.2 implies z~2 systems began SF at

z~2.3! Plus, low scatter for 1.4<z<2.5.

• Unseen passive galaxies? (downsizing)– Mass-selected samples do not see enough

passive galaxies; sBzK selects dominant population at z~2.

• All seem dubious (besides being inconsistent with models).

Measurements wrong? Measurements wrong? (Systematics)(Systematics)

• Need to lower SF / raise M* by ~x3-5.• Raising M* generically hard: Unless stars

put out a LOT less red light than locally. [note: Maraston vs. BC03 goes wrong way]

• Something else mimicking SF?– AGN: Possible, but would have to be strange

to exactly mimic tight M*SFR.– PAH emission: Rest-8m dominated by PAHs,

so perhaps PAH emission per unit SF much stronger at high z.

• Can’t be ruled out, but would require dramatic differences vs locally calibrated relations. Such differences not seen locally even in extreme systems.