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AA and the Evolution of the Galaxy Population

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Nod & Shuffle: can N&S all 392 fibres (also mini-shuffle) AAO Survey Performance ... Goal: survey to characterize the stellar populations of galaxies (age, ... – PowerPoint PPT presentation

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Title: AA and the Evolution of the Galaxy Population


1
AA? and the Evolution of the Galaxy Population
  • Matthew Colless, UCL, 28 June 2004

2
AA? Key Performance Features
  • Throughput peak is 15-20, i.e. 2-3x 2dFs
    throughput
  • Spectral resolution 1-8000 MOS (13000 IFU)
    gt2x 2dF
  • Wavelength coverage 370-950nm, 300nm sim. at
    low-res.
  • PSF spatially-invariant PSF for all setups
    wavelengths
  • Stability better ?-calibration, better
    sky-subtraction than 2dF
  • IFU 11"x22" FoV sampled at 0.7"
  • Sampling better spatial sampling, wider fibre
    separation
  • Nod Shuffle can NS all 392 fibres (also
    mini-shuffle)

3
AA? Survey Performance
  • Instrument AA? 2dF 6dF Sloan FLAMES VIMOS WFMO
    S
  • Telescope AAT AAT UKST
    VLT VLT Gemini
  • Mirror diameter (m) 3.9 3.9 1.2 2.5 8 8 8
  • Mirror area (m2) 11.9 11.9 1.1 4.9 50.3 50.3 50.3
  • System efficiency 0.4 0.15 0.3 0.3 0.3 0.4 0.
    3
  • FoV diameter (deg) 2 2 6 3 0.42 0.50 1.5
  • FoV area (deg2) 3.1 3.1 28 7.1 0.14 0.20 1.75
  • objects 392 400 150 640 132 560 4000
  • photons/unit time 1900 700 50 900 2000 11000 600
    00
  • Survey duration 0.07 0.18 0.11 0.10 0.47 0.25 0.04
  • (time taken to cover
  • fixed area of sky)

4
AA? S/N Estimates
  • S/N per Angstrom in MOS mode, in 1(4) hours dark
    time

  • Seeing
  • Magnitude 1.0" 1.5" 2.0"
  • V18 64 (129) 55 (110) 45 (90)
  • V20 20 (40) 16 (33) 12 (25)
  • V22 4.1 (8.5) 3.1 (6.5) 2.3 (4.7)
  • B22 6.5 (14) 5.0 (11) 3.7 (8.0)
  • I 20 7.0 (14) 5.3 (11) 3.9 (7.8)
  • (n.b. expected median seeing lt1.3" with dome
    air-conditioning)

5
Galaxy Evolution Programs
  • Stellar Populations in Low-Redshift Galaxies
    Characterizing the stellar populations and
    star-formation histories of the current galaxy
    population as a function of global properties and
    local environment at low redshift (follow-up to
    2dFGRS)
  • Resolved Stellar Populations and Dynamics
    Using AA? IFU capability to obtain
    spatially-resolved dynamics, ages and abundances
    in individual nearby galaxies
  • Old Stellar Populations at Early Epochs
    Ages and metallicities of stellar
    populations in luminous red galaxies as a
    function of mass (velocity dispersion) at early
    epochs, from 0.45ltzlt0.7 (follow-up to 2dF-SDSS
    LRG survey)

6
1a. Stellar Populations in Galaxies
  • Goal survey to characterize the stellar
    populations of galaxies (age, metallicity,
    star-formation history) as a function of global
    properties (luminosity, morphology, mass) and
    environment (local density/structures)
  • Sample use 2dFGRS/SDSS to pick 100 galaxies in
    each bin of a grid evenly sampling luminosity (20
    bins over M-3 to M5), local density (10 bins
    in log?, voids to clusters) and morphology (5
    bins from E/S0 to Irr) ? 105 galaxies
  • Method obtain spectra at 1Ã… resolution and
    S/Ngt50 to measure spectral indices (ages,
    metallicities, SFR histories) and, where
    possible, velocity dispersions (i.e. masses)

7
1b. Survey Observations
  • Observations 2hr exposures at 1.4Ã… resolution
    (R3500, 75 km/s) give S/N45 to bJ19.5 and
    S/N90 at bJ18
  • Spectral coverage chosen appropriately by
    type/colour
  • Late types red/blue arms cover 3700-4500Ã… and H?
    resp.
  • Early types red/blue arms cover 4600-5400Ã… and
    CaT resp.
  • Old stellar populations determine age
    (distribution?) and metallicity (distribution?)
    from multiple spectral indices
  • Star-formation rates obtain both current and
    recent star-formation rates from Balmer lines and
    other SFR indicators
  • Masses from velocity dispersions for E/S0
    galaxies and bulge-dominated spirals

8
1c. Survey Duration Problems
  • Time required with 300 galaxies/field, 4
    fields/clear night and 60 clear fraction, a
    sample of 105 galaxies will take 140 nights (say
    2 years at 35 nights/semester)
  • Problem 1 - aperture effects depend on galaxy
    size, redshift and seeing, so can be ameliorated
    by choosing sample to minimize effects,
    correcting results via models
  • Problem 2 - rotation velocities how best to get
    rotation velocities for galaxies with substantial
    disks?
  • Partial solution IFU observations for a (small)
    subset of galaxies would allow the calibration of
    aperture effects and provide a sample of disk
    galaxies with rotation curves

9
1d. Value and Interpretation?
  • Would this survey provide added value over
    SDSS/6dFGS?
  • Yes - iff stellar population models of can make
    use of high S/N spectra to unravel star-formation
    histories and extract age and metallicity
    distribution of stellar populations
  • This needs to be clearly demonstrated, and it is
    probable that substantial further work is
    required to improve stellar population models and
    star formation rate indicators

10
2a. Resolved Populations Dynamics
  • Goal spatially-resolved dynamics, ages and
    abundances in individual nearby galaxies using
    IFU capability of AA?
  • Observations want both the blue and red setups
    of pops survey to study bulgedisk/oldyoung
    stellar populations
  • Dynamics map velocity field (1st to 4th moments)
    at many locations, likewise spectral indices, to
    build detailed picture of the dynamics and the
    stellar populations
  • Sample One galaxy in each of 8 bins in
    luminosity covering (M-3...M5), 5 bins in log?
    (voids to clusters) and 5 bins in morphology
    (E/S0 to Irr) ? 200 galaxies

11
2b. IFU Observations
  • Exposure times each IFU fibre is only
    0.5 arcsec2, and the desired S/N is high (50) so
    exposure times critically depend on extent to
    which IFU pixels can be co-added
  • S/N and SB e.g. 4 hour exposures only reach a SB
    limit of 19.25 mag/arcsec2 and (if doing 2
    setups) this means the survey duration is gt300
    nights!
  • Adaptive sampling clearly need to co-add many
    IFU pixels to reach interestingly faint surface
    brightness levels
  • Competition should this be done with AA? on AAT
    or with SAURON on WHT or WIFES on SSO 2.3m?

12
3a. Old-Population at Early Epochs
  • Goal study the formation and evolution of the
    oldest stellar populations by observing luminous
    red galaxies (LRGs) over 0.45ltzlt0.7 (follow-up of
    2dF-SDSS LRG survey)
  • Sample select galaxies from LRG survey of 104
    luminous (MgtMz0) galaxies with rest-frame
    colours of old stellar populations (age gt 5Gyr)
    there are 100 LRGs/2dF field
  • Method obtain spectra at 1Ã… resolution and
    S/Ngt30 to measure precise spectral indices (ages,
    metallicities, SFR histories) and velocity
    dispersions (masses) long time baseline resolves
    age-metallicity degeneracy in spectra

13
3b. Old-Pop Observations
  • Setup need additional dichroic with split at
    8000Ã… and another 1000R VPHG to allow blue arm
    to cover 6900-8100Ã… and red arm to cover
    8000-9200Ã… at 0.6Ã…/pixel
  • Measurements measure spectral indices H?, Mgb
    and various Fe lines in rest-frame range
    4800-5400Ã…, plus velocity dispersions with
    resolution ? 50 km/s
  • Observations 8 hr exposures expected to give
    S/N30 to i19.5-19.8 (LRG survey limit) superb
    sky-subtraction is needed, but as surface
    density of targets is 100/field can use
    beam-switching and NS to reach Poisson limit
  • Duration 50nt x 60 clear x 1 fld/nt x 100/fld
    3000 gal

14
Conclusions
  • Key features field of view, multiplex,
    throughput, spectral resolution, stability, sky
    subtraction, IFU (multi d-IFUs?)
  • Science programs high velocity precision or high
    S/N spectra of many faint objects over wide
    fields ? Stellar populations of galaxies
  • Critical issues
  • do models have interpretative power to add value?
  • is fibre survey useful? is IFU survey
    competitive?
  • Key advantages
  • fastest survey spectrograph in the world
  • opportunity for ambitious large programs
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