Predictions for surveys with HERSCHEL from a CDM model of galaxy evolution - PowerPoint PPT Presentation

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Predictions for surveys with HERSCHEL from a CDM model of galaxy evolution

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Gian Luigi Granato Padova. Laura Silva Trieste ... GRASIL code: Silva etal 1998, Granato etal 2000 ... (Bressan, Silva & Granato 2002) ... – PowerPoint PPT presentation

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Title: Predictions for surveys with HERSCHEL from a CDM model of galaxy evolution


1
Predictions for surveys with HERSCHEL from a CDM
model of galaxy evolution
  • Cedric Lacey
  • Durham University

2
Collaborators on theoretical models
  • Galaxy formation models
  • Carlton Baugh Durham
  • Shaun Cole Durham
  • Carlos Frenk Durham
  • Andrew Benson Oxford
  • Dust Modelling
  • Alessandro Bressan Padova
  • Gian Luigi Granato Padova
  • Laura Silva Trieste

3
Galaxy formation in the CDM model key physical
processes
  • Assembly of dark matter halos
  • Shock-heating and radiative cooling of gas within
    halos
  • Star formation and feedback
  • Production of heavy elements
  • Galaxy mergers

4
Galaxy formation made simple
  • gas cools to make disks
  • halos merge
  • galaxies merge by dynamical friction
  • major mergers make galactic spheroids from disks
  • mergers trigger starbursts
  • spheroids can grow new disks

5
Modelling the stars dust
  • dust in diffuse medium and molecular clouds
  • stars form in clouds and leak out
  • stellar emission from population synthesis
  • radiative transfer of starlight through dust
    distribution
  • heating of dust grains -gt dust temperature
    distribution

GRASIL code Silva etal 1998, Granato etal 2000
6
More details of dust modelling
  • Physical model for dust grains, chosen to
    reproduce local ISM extinction law
  • Mixture of graphite silicate grains, with
    distribution of grain sizes
  • Includes PAHs (polycyclic aromatic hydrocarbons)
  • Assume dust/gas proportional to gas metallicity
  • Optical depth for dust depends on both dust mass
    and galaxy radius
  • these both predicted by galaxy formation model

7
Model for radio emission
  • Free-free radiation from HII regions ionized by
    young stars
  • Synchrotron radiation from relativistic
    electrons accelerated in supernova remnants
    assume const frac of SN energy radiated

(Bressan, Silva Granato 2002)
8
Example Model SED (1)
  • unextincted starlight
  • ( radio)

9
Example Model SED (2)
  • starlight with dust extinction

10
Example Model SED (3)
  • starlight with dust extinction
  • emission from diffuse dust

11
Example Model SED (4)
  • starlight with dust extinction
  • emission from diffuse dust molecular clouds

12
Example Model SED (5)
  • starlight with dust extinction
  • emission from diffuse dust molecular clouds
  • total

13
SEDs from dust model comparison with
observations
  • model predicts galaxy spectrum from far-UV to
    sub-mm
  • accurately reproduces observed SEDs for nearby
    normal and starburst galaxies

14
Important features of galaxy formation model
  • Star formation timescale in quiescent disks
  • disks more gas-rich at high z
  • mergers more gas-rich at high-z
  • Bursts triggered by minor and major mergers
  • Top-heavy IMF in bursts

Cole etal 2000 Granato etal 2000 Baugh etal 2004
15
Cosmic star formation history
total
quiescent
quiescent
bursts
bursts
16
Present-day galaxy luminosity functions in
optical near-IR
B-band
K-band
total
total
no dust
quiescent
no dust
quiescent
bursts
bursts
17
Present day luminosity functions in far-UV
far-IR
Far-UV (2000 A) Far-IR (60
mm)
total
total
no dust
bursts
bursts
quiescent
quiescent
18
Sub-mm source counts
850 mm
  • model predicts
  • at observed fluxes, counts dominated by galaxies
    with ongoing burst of star formation triggered by
    galaxy merger
  • at very faint fluxes, dominated by quiescent disks

total
total
bursts
bursts
quiescent
quiescent
19
Redshift distribution of sub-mm sources
  • model predicts median z2 for S(850)1-10 mJy
  • consistent with observational constraints (e.g.
    Chapman etal 2003, z(median)2.4 at S5mJy)

total
bursts
quiescent
20
Galaxy luminosity function in rest-frame UV at z3
Lyman-break galaxies
  • Lyman-break galaxies dominated by ongoing bursts
  • dust extinction has huge effect on predicted
    luminosity function
  • most of UV radiation emitted by stars is
    absorbed by dust

no dust
bursts
total
quiescent
21
Predictions for HERSCHEL
22
Sensitivities in different bands
Diffraction limit 40 beams per source,
galaxies only
23
PACS 60-90 mu
24
PACS 90-130 mu
25
PACS 130-210 mu
26
SPIRE 250 mu
27
SPIRE 350 mu
28
SPIRE 500 mu
29
Comparison with SPITZER 24 70 mu
30
Comparison with ASTRO-F
N60 50-75 mu
N170 150-200 mu
WIDE S 50-110 mu
WIDE L 110-200 mu
31
Evolution of bolometric (8-1000 mu) LF
Z0
Z2
Z4
32
Cumulative fraction of bolometric (8-1000 mu)
luminosity gtL
Z0
Z2
Z4
33
Bolometric (8-1000 mu) luminosity vs S(75mu)
Z0.5
Z1
Z2
Z3
34
Bolometric (8-1000 mu) luminosity vs S(250mu)
Z0.5
Z1
Z2
Z3
35
Bolometric (8-1000 mu) luminosity vs S(500mu)
Z0.5
Z1
Z2
Z3
36
Bolometric (8-1000 mu) luminosity vs S(24mu)
Z0.5
Z1
Z2
Z3
37
Bolometric (8-1000 mu) luminosity vs S(850mu)
Z0.5
Z1
Z2
Z3
38
SFR vs S(250mu)
Z0.5
Z1
Z2
Z3
39
Stellar mass vs S(250mu)
Z0.5
Z1
Z2
Z3
40
Flux in other bands vs S(250 mu) _at_ z0.5
75mu
500mu 24mu
850mu
1.4GHz I
band
41
Flux in other bands vs S(250 mu) _at_ z1
75mu
500mu 24mu
850mu
1.4GHz I
band
42
Flux in other bands vs S(250 mu) _at_ z2
75mu
500mu 24mu
850mu
1.4GHz I
band
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