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Molecules at high z, Perspectives. SAAS-FEE Lecture 8 Françoise COMBES. Current state of the art. CO emission the 1st detection: Faint IRAS source F10214+4724 at z=2.3 (Brown & van den Bout 92, Solomon et al 92) drove the search for high-z molecules. Downes et al 95.
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Molecules at high z, Perspectives SAAS-FEE Lecture 8 Françoise COMBES
Current state of the art CO emission the 1st detection: Faint IRAS source F10214+4724 at z=2.3 (Brown & van den Bout 92, Solomon et al 92) drove the search for high-z molecules Downes et al 95
Then several quasars or hyper-luminous objects in FIR or submm, mostly with high gravitational amplification, followed z between 2.2 and 2.8 (cloverleaf z=2.56) Two objects at z=4.5 BR1202-0725 (Omont et al 96, Ohta et al 96) BR 1335-0414 (Guilloteau et al 97) likely to be lensed also (disputed) Objects at 93% of the age of the Universe ==> enrichment occurs at very early epochs All objects first detected in dust emission submm bolometer arrays SCUBA-JCMT, MAMBO-IRAM
High J CO lines Advantage with respect to HI Larger flux at high J, if dense and hot medium Difficulty in knowing the line ratios The gravitational amplification might not be the same for all lines!
Abell 370, z=0.37 (arc at z=0.73) Strategy: search for continuum much easier to detect due to K-correction Even better in front of a rich cluster for amplification SMM sources (Frayer et al 98)
CO lines 2000 update 15 objects 1< z < 5
High-z (full dots), ULIRGS (open pentagons, Solomon et al 97) normal galxies in Coma (Casoli et al 96) Lines are 1σ detection with IRAM-30m, with the various receivers (3mm, 2mm, 1.3mm)
Extremely Red Objects EROs EROS R-K > 5 identified in searches for primeval galaxies (Elston et al 88) A fraction (10%) of the submm could be EROs (Smail et al 99) Prototypical ERO at z=1.44 HR10 submm detected (Cimatti et al 98) CO lines (Andreani et al 00) CO21 CO54
SED observed for HR10 Dey et al 99 (rest-frame) SED of HR10 stellar pop PEGASE Extinction of Calzetti et al (00) Absorbed flux ==> FIR dust model Désert et al (90) from Melchior et al 2001)
VLA detection of CO(1-0) ==> 10-100 times more mass? APM08279+5255, z=3.91 Papadopoulos et al (2001) SMM objects could be evolving in present day bright E-gal (same comoving density) 1-2 L* Frayer et al 99 dots: local galaxies blue: disk (MW) green: closed-box E-gal red: starburst merger
Modelisation of a starburst Common characteristics Very high molecular masses 1010 - 1011 Mo High temperatures of dust: 30-50K up to 100K (200K if QSO?) If demagnified, similar to the ULIRGs at z=0.1 (Solomon et al 97) Very small sizes: below 1kpc (300pc disks) Interferometric mapping (cf Arp220) In these conditions, the average column density is around 1024cm-2 and the dust becomes optically thick at λ < 150μ cf black-body model
These high central condensations are supposed to be formed during mergers, when the gas is driven in by gravitational torques Up to 50% of the dynamical mass could be in the form of H2 in mergers (Scoville et al 1991) The average density is 104cm-3, 100 times denser than in normal disks Clouds themselves are denser, as in Galactic centers (tidal stresses) The medium must be very clumpy, since high-density tracers indicate even higher densities and the ratio of HCN/CO even increases for these objects SED peaks at 100μ with a flux of 1-3 Jy at z=0.1 at z=4-5, a few mJy at 1.2mm (Omont et al 96)
Simple two components model The central starburst can be considered as the accumulation of very active star-forming complexes, such as Orion (typically 8.6 107 clouds of 700Mo each) Total mass 6 1010Mo in 1kpc diameter Two components, both with low filling factor the dense and hot component: star forming cores 106cm-3, 90K each embedded in a cloud 104cm-3, 30K Individual velocity dispersion of 10km/s Embedded in the rotational gradient of the galaxy, 300km/s
LVG approximation To compute the excitation of the CO molecules, and the population of the various J levels => very simple approx the turbulence inside the clouds are equivalent to a velocity gradient (LVG) Most of the clouds (which are individually optically thick in the CO lines) are not overlapping on the l.o.s. at a given velocity ==> filling factor fv in velocity space In fact, there might be some overlap, to be taken into account For comparison: also a model of homogeneous medium, T = 50K, density 103cm-3, N(H2) = 3.5 1024cm-2
Assume same energy coming from stars Black-body Tdust4 - Tbg4 = cste or optically thin dust τ ~ ν2 Tdust6 - Tbg6 = cste
Model Results With the two-component models, almost LTE (high excitation) Not the case for the homogeneous sphere
Homogeneous sphere CO lines Tdust6 - Tbg6 = cste Submm continuum
Tdust6 - Tbg6 = cste Tdust4 - Tbg4 = cste 2 components 30 & 90K
Same for integrated flux more relevant for detection ƒSνdν (slope in ν3) S ~2 kT /λ2 dν = ν dV/c Continuum/total CO ratio (full) Continuum/CO(1-0) (dash) index= CO/H2 abundance dotted: M/3 h: homogeneous model squares: ULIRGs Solomon et al 97
Simulations of low metallicity and low CO abundance Then the CO lines become optically thin About 2 orders of magnitude lower fluxes Same density, and excitation necessary to excite the high J Also lower fluxes in continuum (less dust) CO/H2=10-6
Comparison with continuum • The CO emission has no negative K-correction, in part because • of optical thickness • ==> much more difficult to observe than dust emission • No need to observe at high ν • selection rules reduce the observed frequency • for T=90K, the dust peaks at ~60μ, and the CO at ~600μ • The increase of the background temperature does not help • in detecting the CO lines, in spite of the higher degree of • excitation • Molecular gas at T=Tbg always undetectable • TA* = (f(Tex)-f(Tbg)) (1 - e-τ)
Panorama in mm & sub-mm IRAM-30m 707m2 1mm 10" IRAM-PdB 6x15m=1060m2 1mm 0.5" NRO 6x10m=509m2 1mm 0.5" OVRO 6x10m= 509m2 1mm 0.5" BIMA 10x6m=282m2 1mm 0.5" => CARMA (in project) 791m2 1mm 0.5" SMA 7x6m=200m2 0.3mm 0.1" GBT 100m=7854m2 2.6mm 7" In project LMT 50m=1963m2 1mm 6" ALMA 64x12m=7238m2 0.3mm 0.1-0.01" EVLA 35x25m=17200m2 6mm 0.004"
T=50K, 103cm-3 N(CO)= 3 1020 cm-2 Best strategy to observe a high-z galaxy Depends on excitation Could be at low frequency
CO J=5-4 is of low excitation in HR10 R54/R21= 0.15 Would be difficult to observe at higher z HR10, z=1.44 Papadopoulos & Ivison (2001)
Prediction of source counts • Hierarchical theory of galaxy formation • Einstein-de Sitter model Ω = 1 (Ho = 75km/s/Mpc, qo=0.5) • or Ω =0.3 Λ=0.7 • Number of mergers (z) from Press-Schechter • assuming self-similarity for P(halo merging) • dN/dM ~ M-2 (M/M*)γ/2 exp[ -(M/M*) γ] • Merger rate is the sum of the evolution (derivative) of this • function + term maximum at equal mass merger (Blain & Longair 93) • => number of mergers at each epoch • but efficiency of star formation must also vary considerably with redshift • with a peak at z=2
Integration over z should equal COBE background To fit source counts: life-time of merger much shorter at high z Once the counts are fit to the submm observations, the model indicates what must be the contribution of the various redshifts to the counts Star formation begins before z=6 The bulk of the contribution is 2 < z < 5 Results depend on the shape of the SF efficiency ==> Observations of redshift distribution should therefore bring a lot of insight in the physics of protogalaxies
SFR CIBR Z<2 Z<2 Z>5 Z>5 Data on source counts:Barger et al 99, Blain et al 00 Carilli et al 01
N(>F) Z>5 Z<2 Z<2 F At 2mm wavelength, the dominant contribution is from 2 < z < 5 At 5mm, the dominant is from z > 5
Conclusions • CO lines will be observed at high z easily with the next generation • of the mm instruments • Much more information than the continuum, in giving the mass • of H2 in the galaxy, the efficiency of star formation as a • function of redshift, the kinematics • More unbiased information than in the optical, where the • line width does not reflect the total mass (outflows, extinction..) • The fraction of gas mass should increase with redshift • as well as the fraction of starburst • and their efficiency (dynamical time shorter)