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Constraints on feedback from deep field observations with SAURON and VIMOS. IFU observations of the high-z Universe. Joris Gerssen. Overview. Until a decade ago only extreme objects were known in the distant universe
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Constraints on feedback from deep field observations with SAURON and VIMOS IFU observations of the high-z Universe Joris Gerssen
Overview • Until a decade ago only extreme objects were known in the distant universe • Since then photometric redshift surveys and narrow band surveys identified ( at z ~2 to ~4) • Lyman Break Galaxies • Ly-alpha galaxies • Observational constraints on galaxy formation and evolution • e.g. morphology, star formation history, luminosty functions, etc.
Among the drivers behind this advancement are • The 10m class telescopes and instruments • Hubble Space Telescope • Theoretical understanding of structure formation • Integral Field Spectropscopy (IFS) is a recent development with great potential to further galaxy evolution studies
Integral Field Spectroscopy Data cube: f(x, y, lambda) • VIMOS • SINFONI • MUSE • SAURON • PMAS • … Typical properties: Field-of-View few (tens) of arcsec Spectral resolution: R ~200 to ~2500
High-redshift science with IFUs • (e.g. list of MUSE science drivers) • Formation and evolution of galaxies: • High-z Ly- emitters • Feedback • Luminosity functions (PPAK, VIRUS) • Reionization • ...
Feedback • A longstanding problem in galaxy formation is to understand how gas cools to form galaxies • Discrepancy between observed baryon fraction (~8%) and predicted fraction (> 50% ) • To solve this “cosmic cooling crisis” the cooling of gas needs to be balanced by the injection of energy (SNe/AGN)
Feedback • Galactic outflows driven by AGN and/or SNe • Resolve discrepancy between observed and predicted baryon fraction • Terminate star formation • Enrich IGM NGC 6240 (ULIRG) M82 (starburst)
IFU Deep Field Observations • Deep SAURON & VIMOS observations of blank sky • But in practice centered on QSOs/high-z galaxies • observe extended Ly- halo emission • serendipitous detections
SAURON Deep Fields • The SAURON IFU is optimized for the study of internal kinematics in early type galaxies • DF observations of: SSA22a, SSA22b, HB89 • Redshift range 2.9 - 3.3 (4900 - 5400 Angstrom) • Texp ~10 hours • FoV: 33 x 41 arcsec, R ~ 1500
SAURON observations: overview SSA22a SSA22b HB89 1738+350
SSA22b (z = 3.09) Wilman, Gerssen, Bower, Morris, Bacon, de Zeeuw & Davies (Nature, 14 July 2005) VolView rendering
Ly- distribution 1.0 arcsec = 7.6 kpc
Line profiles • Emission lines ~ 1000 km/s wide • Emission peaks shift by a few 100 km/s • Absorption minima differ by at most a few tens of km/s • Ly alpha is resonant scattered, naturally double peaked • Yet, absorption by neutral gas is a more straighforward explanation
SSA22b results • Assuming shock velocities of several 100 km/s • Shell travels ~100 kpc in a few 108yr • Shell can cool to ~104 K in this time • Implied by the Voigt profile b parameter • Required to be in photoionization equilibrium • Implied shell mass of 1011 M • Kinetic energy of the shell ~1058 erg • About 1060 erg available (IMF) • Superwind model provides a consistent, and energetically feasible description
Comparison with SSA22a • SSA22a • Kinematical structure more irregular • Luminous sub-mm source • Suggests that a similar outflow may have just begun • Probe a wider range of galaxies: • SCUBA galaxy (observed last year) • Radio galaxy (observed one last week) • LBG (a few hours last week)
SINFONI observations of SSA22b Constrain the stellar properties Link them to the superwind Scheduled for P77 (B) Foerster Schreiber et al.
Serendipitous emitters • The correlation of Ly-alpha emitters with the distribution of intergalactic gas provides another route to observationally constrain feedback • Based on Adelberger et al (2003) who find that the mean transmission increases close to a QSO • This result is derived from 3 Ly- sources only
Mean IGM transmission z ~ 2.5 z ~ 3 Adelberger et al. 2003 Adelberger et al. 2005
Advantage of IFUs • IFUs cover a smaller FOV then narrow band imaging, but • IFUs are better matched to Ly-alpha line width • Do not require spectroscopic follow-up • Directly probe the volume around a central QSO • Thus, IFUs should be more efficient than narrow band surveys
IFU observations • Search the data cube for emitters • Use the QSO spectrum to measure the gas distribution • Likely require the UVES spectra • Available: • One SAURON data cube • 2 of 4 VIMOS IFU data cubes SAURON example: HB89 +1738+350
VIMOS 'QSO2' z = 3.92, Texp = 9 hours LR mode
Search by eye for candidates Need to identify/apply an automated procedure
Detection algorithms • Matched kernel search • Many false detections • IDL algorithm (van Breukelen & Jarvis 2005) • FLEX: X-ray based technique (Braito et al. 2005) • ELISE-3D: sextractor based (Foucaud 2005)
van Breukelen & Jarvis (MNRAS 2005) • Similar data set: • Radio galaxy at z = 2.9 • same instrumental set up • similar exposure time • Yet, they find more (14) and brighter Ly- emitters • Using an automated source finder
In progress • A direct comparison with the van Breukelen results • Obtained their data from ESO archive • And reduced and analyzed it with our procedures • Preliminary results are in reasonably good agreement • ‘Our’ data appears somwhat more noisy • Find their emitters and their new type-II quasar (Jarvis et al 2005)
Preliminary results • Number density of Ly alpha emitters agrees with model predictions (fortuitous) • The VIMOS fields contain 5 - 14 emitters • Models (Deliou 2005) predict 9 in a similar volume • IFUs are sensitive to at least a few 10E-18 erg/s/cm2
Summary • IFUs provide a uniquely powerful way to study the haloes around high redshift proto-galaxies • Volumetric data are an efficient way to search for Ly-alpha galaxies • An alternative method to constrain feedback • IFUs are a very valuable new tool to study the formation and evolution of galaxies