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Binggeli Eva K. Grebel Astronomical Institute University of Basel.

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Presentation on theme: "Binggeli Eva K. Grebel Astronomical Institute University of Basel."— Presentation transcript:

1 Binggeli Eva K. Grebel Astronomical Institute University of Basel

2 2 Why the Local Group? Ultra Deep Field Proximity Ü Resolution (individual stars) Ü Depth (faintest absolute luminosities) Ü Measurements of:  Lowest stellar masses  Oldest stellar ages  Metallicities, element abundances  Detailed stellar and gas kinematics Ü Highest level of detail and accuracy Variety (of galaxy types)  Range of masses, ages, metallicities  Range of morphological types  Range of environments Tests of galaxy evolution theories Understanding distant, unresolved galaxies

3 3 Grebel 1999

4 4 The Local Group Grebel 1999 dSphs dEs dSph/dIrrs dIrrs

5 5 Morphological Segregation Grebel 2000 Gas-poor, low-mass dwarfs Gas-rich, higher-mass dwarfs

6 6 1. The Earliest Epoch of Star Formation Cold dark matter models predict: Low-mass systems: first sites of star formation (z ~ 30) Larger systems form through hierarchical merging of smaller systems Re-ionization may squelch star formation in low-mass substructures Galaxies less massive than 10 9 M  lose star- forming material during re-ionization Kravtsov & Klypin (CfCP & NCSA)

7 7 Consequences: Ü Low-mass galaxies must form stars prior to re- ionization; must contain ancient populations Ü Sharp drop / cessation of star formation activity after re-ionization, may resume only much later Ü High-mass galaxies’ oldest populations must be as old as low-mass galaxies’ populations or younger Testable predictions! Redshifts of 20 - 30 not (yet?) accessible Dwarf galaxies at those redshifts would be extremely difficult targets anyway Ü Exploit fossil record in nearby Universe instead Ü Local Group ideal target since oldest populations resolved and accessible with HST 1. The Earliest Epoch of Star Formation

8 8 Age-dating old populations: Most accurate ages for resolved stellar populations Most accurate ages from main-sequence turn-offs Absolute ages model-dependent (isochrones) Relative ages with internal accuracies of fractions of a Gyr; typically compared against ancient Galactic globular clusters of the same metallicity and [  /Fe] (differential age dating) Ü Requires at least 2 mag below MSTO Ü High resolution (crowding) Ü Depth (e.g., at M31 distance MSTO > 29 mag) Ü HST for anything but closest Milky Way satellites

9 9 Buonanno et al. 1998

10 10 Feltzing et al. 1998; Wyse et al. 2002 Luminosity function of Ursa Minor: Indistinguishable from Galactic globulars

11 10 1. The Earliest Epoch of Star Formation Old populations ubiquitous but fractions vary Evidence for a common epoch of star formation  Globular clusters with main-sequence photometry (Galactic halo & bulge,Sgr, LMC,For)  Field populations with main-sequence photometry (Sgr,LMC,Dra,UMi,Scl,Car,For,LeoII)  Inferred from globular clusters (e.g., BHBs, spectra): M31, WLM, NGC 6822)  Inferred from BHBs in field populations: Leo I, Phe, And I, II, III, V, VI, VII, Cet, Tuc Possible evidence for delayed formation?  Inferred from GC MS: SMC’s NGC 121 (2-3 Gyr). (However, lack of ancient globulars does not imply absence of ancient field population.) Results (largely based on HST):

12 11 1. The Earliest Epoch of Star Formation Limitations: Deep data for direct (MSTO) age measurements lack in dwarfs beyond ~ 300 kpc. True fraction of old stars still poorly known (incomplete area coverage & unknown tidal loss) No data on Population III stars and their ages Confirmed: Ancient Population II in Milky Way, LMC, and dwarf spheroidal galaxies ~ coeval (± 1 Gyr) Ü Consistent with building block scenario All galaxies studied in sufficient detail so far contain ancient populations In contrast to CDM predictions: No cessation of star formation activity in low-mass galaxies during re-ionization Considerable enrichment: Episodes of several Gyr Grebel & Gallagher 2004

13 12 Grebel & Gallagher 2004 Star formation activity in low-mass galaxies (~10 7 M  ) Cosmology: flat,  m = 0.27, H 0 = 71 km/s/Mpc

14 13 Age structure in a synthetic color- magnitude diagram Gallart et al. 1999 Shown: Constant star formation rate from 15 Gyr to the present, no photom. errors. 2. Global star formation histories

15 14 Smecker-Hane, Gallagher, Cole, Stetson, 2002, ApJ, 566, 239 10 5 Star CMDs from WFPC2: LMC Star Formation Histories DiskBar

16 15 2. Global star formation histories Star formation rate Metallicity [Fe/H] Lookback time Age Population box Requires: Ages and SFR(t)  photometry + metallicity (t)  spectroscopy + abundance ratios (t)  spectroscopy

17 16 Correlation between SFH and distance

18 17 Star formation history - distance correlation Faint (M V > -14) Milky Way companions: Increasingly higher intermediate-age population fractions with increasing distance from the MW Ü Environmental influence of Milky Way? Star-forming material might have been removed earlier on from closer companions via  ram-pressure stripping  SN-driven winds from Milky Way  high UV flux from proto-Milky Way  tidal stripping (van den Bergh 1994) If environment is primarily responsible for gas- poor dSphs, then existence of isolated Cetus & Tucana is difficult to understand. Caveat: Argument considers only present-day distances; orbits still poorly known / unknown.

19 18

20 19 If the apparent trend of low-mass galaxy properties with distance from the primary generally holds, we should also find it for M31’s low-mass companions…

21 20 No obvious distance correlation for M31 dSphs More luminous dwarf Harbeck, Gallagher, & Grebel 2004

22 21 3. Harrassment and Accretion Can we find evidence for this in the surroundings of massive galaxies in the Local Group? in the massive galaxies of the Local Group themselves? Ü Structural properties of nearby galaxies Ü Stellar content and population properties of nearby galaxies (including abundance patterns) Ü Streams around and within massive galaxies Dwarf galaxies might be considered the few survivors of a once more numerous dark matter “building block” galaxy population.

23 22 Hierarchical structure formation: Numerous mergers leave imprint on halo (and disk) Thus expected: Ü Overdensities Ü Lots of streams Ü Identification photometrically / kinematically 2MASS + Johnston streams

24 3. Dwarf galaxy accretion: Sagittarius’ tidal stream within the Milky Way 23 2MASS: Detection of Sgr’s tidal stream across the entire sky (area coverage advantage of shallow of all-sky survey). Recent detection of second dSph in state of advanced accretion: Monoceros (SDSS, Newberg et al. 2002 ); “CMa dSph”. Majewski et al. 2003

25 24 3. Dwarf galaxy accretion: Sagittarius’ tidal stream around & within the Milky Way Majewski et al.

26 25 Ibata et al. 2001, Ferguson et al. 2002 Zucker et al. 2004 + ongoing HST follow-up

27 26 Brown et al. 2003 Extremely deep HST imaging of M31’s halo Old populations present, but intermediate -age, metal-rich populations dominate.

28 27 4. Are dwarf galaxy abundance patterns consistent with the building block scenario? Old populations in dSphs and dIrrs are metal-poor. The mean metallicity decreases with decreasing parent galaxy luminosity (see Figure). Star formation history details vary widely, and all dwarfs show considerable abundance spreads. In terms of mean overall metallicity, consistency for Milky Way halo inconsistency for M31 halo (too metal-rich and dominated by 6 - 8 Gyr populations; Brown et al. 2003 )

29 28 The metallicity - luminosity relation for different types of dwarf galaxies

30 29 4. Are dwarf galaxy abundance patterns consistent with the building block scenario? Type II SNe: M ≥ 10 M  Mainly  -elements (O, Ne, Mg, Si, S, Ca) Timescale < ~ 3·10 7 yr Type Ia SNe: white dwarfs accreting mass Mainly Fe peak elements Timescale ~ 3·10 7 yr to 15 Gyr [  /Fe] vs. [Fe/H]: mainly determined by time delay between SNe II and Ia and SFH (IMF, nucleosynth.) If dSphs were dominant contributors to the build- up of the Galactic halo, then their abundance patterns should match those observed in the halo. Matteucci 2002

31 30 [Fe/H] [  /Fe] 0.6 0.4 0.2 0.0 0.0 -1.0 -2.0 -3.0 -4.0 High star formation rates (bulges, ellipticals): Larger plateau for [  /Fe], more SN II (  ) contribution. Low star formation rates (bursty or continuous; disks, Irrs): Short plateau in [  /Fe] at low metallicities. Slow star formation rates (dwarfs): SNe Ia contribute large amounts of Fe sooner and already at very low metallicities, so that solar [  /Fe] reached sooner.  After Matteucci 2002

32 31Tolstoy & Venn 2004 Blue, black: Galactic disk and halo stars Other colors: Galactic dSphs Lower [  /Fe] @ [Fe/H] in dSphs than in Galactic halo: Low SFRs (little contribution from massive SNe II (  )), or Loss of metals and SN ejecta, or Larger contribution from SNe Ia (Fe enhanced over  ) Ü Present-day dSphs cannot have been dominant contributors to the build-up of the Galactic halo Shetrone, Côté, & Sargent 2001

33 32 Essential science: The Local Group as a test case for galaxy evolution theories What we know now: All nearby galaxies contain ancient populations; fractions vary; ~ coeval Population II. No two galaxies alike in star formation histories, population fractions, mean metallicities and abundance spreads. But: global correlations (e.g., mass-metallicity) Environmental impact and CDM building blocks: Morphology-density Distance - HI content Accretion events Coeval ancient SF But: Tucana, Cetus Uncertain distance - SFH Number and [  / Fe] Extended SF in low-mass galaxies (vs. reionization)

34 33 Essential science: The Local Group as a test case for galaxy evolution Essential and unique HST science for the future: Not possible from the ground Not possible with JWST or Prepares the ground for JWST and others HST uniqueness:  resolution (crowding)  sensitivity (sky background)  wavelength coverage (Optical: highest age and metallicity resolution) SFHs and oldest ages of M31 subsystem + beyond (I)MFs in cluster & field populations in nearby galaxies; variations, dissolution times, dependencies Constraints on orbits via parallaxes prior to SIM Exploit synergy with ground-based spectroscopic capabilities for abundances and kinematics!


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