Telling Tails About Galaxies (Stellar Halos, Satellites and Hierarchical Structure Formation)...
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Transcript of Telling Tails About Galaxies (Stellar Halos, Satellites and Hierarchical Structure Formation)...
Telling Tails About Galaxies
(Stellar Halos, Satellites and Hierarchical Structure Formation)
Kathryn V Johnston (Wesleyan)&
James S Bullock (Harvard)
The point of the talk…• We see substructure in
galactic stellar halos (e.g. NGC5907 - Shang et al 2000).
• We think galaxies form hierarchically (e.g. Moore et al 1999).
What can the former tell us
about the latter?
Why stellar halos? substructure long-lived, dynamics simple (phase-mixing) => easy to interpret
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Overview
1. Introduction: Observations of stellar halos
2. Our study: Motivation and methods
3. Sanity checks
4. Results I: Substructure in halos
5. Results II: Properties of satellites vs halos
6. Summary
Observations - Properties of Milky Way’s halo
Stellar density falls as r-3
E.g.
RR Lyraes in SDSS, Ivezic et al 2003
(See also Siegel et al 2003, Wetterer & McGraw 1996…..)
Observations - Properties of Milky Way’s halo
Beyond ~10kpc, substructure rules
e.g. Newberg et al 2002 - blue-colored turnoff stars along celestial equator, g*=19.4~11kpc g*=22.5~45kpc
(See also Majewski team, Morrison’s “Spaghetti” group, Century Survey, QUEST…)
Pal 5
Observations - Properties of Milky Way’s halo
Most of that substructure is associated with the Sagittarius dwarf galaxy
E.g. M-giants selected from 2MASS data (Majewski et al 2003)
See also Ibata et al (1995, 1997….), SDSS, QUEST…
Observations - Other Galaxies
Mostly only upper limits to densities of other stellar halos.
Several examples of single streams.
E.g. M31, Ibata et al 2001 Sources classified as “star-like” in I and with colors and
magnitudes consistent with M31 RGB stars.
See also Malin & Hadly1997, Shang et al 1999, Forbes et al 2003 Martinez-Delgado et al 2003
Observations - Local Sources for Accretion
Events• 11 satellites of Milky Way
• Similar number for M31
• ~20 Local Group field dwarfs
Questions
Within a given hierarchical cosmological model, where the halo is built from satellites:
• Just how lumpy do we expect the Galactic stellar halo to be?
• What is the expected frequency of low surface brightness features around other galaxies?
• To what extent can we reconstruct recent accretion history?
• How should stellar halo properties compare with the properties of surviving satellites?
What’s Missing from Previous Studies?
• Semi-analytic models can’t follow dynamics very accurately.
• N-body models of individual events miss the cosmological context.
• Cosmological simulations are too expensive to track:– Low surface brightness features– More than one galaxy.
All of the above track the dark matter -
i.e. assume mass-follows-light
Our Approach• Approach:
– Semi-analytic cosmological accretion history.
– Analytic model for ~90% of parent galaxy we AREN’T interested in.
– N-body models for ~10% of galaxy we ARE interested in (ie the satellites).
– Analytic prescriptions to assign baryons associated with each satellite.
– Analytic star formation histories
– Analytic prescription to assign varying M/L to N-body particles to mimic embedded King models
Dark matter - set by
cosmology -
simulations run onceBaryons - assigned
by prescriptio
ns - allowed to
vary
Our Approach
time
Dark matter modeled via merger tree.
N-body model run for each satellite accreted.
Light mattter painted on subsequently
(Incorrect for minor/major mergers. Restrict study to disk galaxies likely to have suffered <10% accretions for several Gyears.)
(Luminous component not followed self-consistently.)
Formation of a Halo?
Embedded King modelsLuminosity-
weighted dark matter
Color bar 34-24 mag/arcsec2
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Sanity Checks
Do our prescriptions produce reasonable Milky Way halo and luminous satellite population?
“Free” (?) parameters:
A. Epoch of reionization - zre
B. Star formation rate fcoldMgas/t* set by
- fcold fraction of baryons in cold gas
- t* star formation timescale
C. Degree of concentration of baryons within dark matter
Sanity Checks: 1. Size of satellite
population
Solve the “missing satellites” problem (Kauffmann, Moore et al 1999, Klypin et al 1999) through feedback at reionization (Bullock, Kratsov & Weinberg, 2000).
Sanity Checks: 1. Size of satellite
populationStellar satellites accreted
Stellar Halo (109 Lsun)
Surviving satellites
Milky Way
? ~1 11
Halo 2 115 1.3 20
Halo 5 102 1.3 6
Halo 7 106 1.1 16
Halo 9 97 1.5 11………..depends on A. - zre cannot be much greater than 10
Sanity Checks: 2. Star fraction
in accreted satellite
s
Assume satellites infalling today should look like Local Group field dwarfs.
Sanity Checks: 2. Star fraction
in accreted satellite
sDepends on B.
Assume fcold=0.15, need long t* (15 Gyears) to
be consistent with Local Group field dwarfs
Sanity Checks: 3. Properties of Surviving
Satellites
Assume that gas in satellites is immediately stripped on accretion (and star formation halted):
…depends on B.
Sanity Checks: 3. Properties of Surviving
Satellites
..depends on C. - concentration of baryons within each halo. Set by Local Group relations (e.g. see Dekel & Woo 2003)
Sanity Checks: 4. Size of stellar halo
Stellar satellites accreted
Stellar Halo (109 Lsun)
Surviving satellites
Milky Way
? ~1 11
Halo 2 115 1.3 20
Halo 5 102 1.3 6
Halo 7 106 1.1 16
Halo 9 97 1.5 11
………..depends on A. and B. - if satellites form stars too rapidly then stellar halo is too big.
Sanity Checks:
5. Stellar halo
radial profile
Depends on C…..
Results I: Substructure
Note:
• Color Bar 2<LOG(fluctuations)<2
• 104 Lsun/degree2 ~ 20 giants/degree2
• Shell thickness = 50% of radius
• Level of substructure in inner regions significantly overestimated - concentrate on r > 50 kpc
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Results I: Substructure• Substructure increases with radius
• at r > 50 kpc
- level of fluctuations factor of 10 or more
- size of order 10’s of degrees
=> should be apparent in any survey of sufficient depth covering hundreds of sq degrees provided an appropriate tracer.
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Results I: SubstructureMorphology of substructure:
• Angular scale relates to mass of progenitor
• Great Circles
- apparent at intermediate radii
- signature of circular or moderately eccentric orbit
• Blobs (shells?)
- apparent at large radii
- signature of apocenters of highly eccentric orbits
=> Reconstruct recent accretion history from this…(work with Sam Leitner).
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Observational collaborations: Steve Majewski - Deep Grid Giant Star Survey, 2MASS M-giants…..
Results I: Substructure• Luminosity-weighted dark matter, color bar 40-30 mag/arcsec2
• Stars, color bar 40-30 mag/arcsec2
• Stars, color bar 34-24 mag/arcsec2
-200kpc 200kpc
Results I: Sub-
structure
=> 0-few detectable features within
100kpc of each galaxy
Observational collaborations: Penny Sackett (ANU)
Results II: Stellar Content of Satellites vs Halo
Satellites look chemically different from the halo (e.g. Unnavane, Wyse & Gilmore, 1996)
- data from compilation of Venn et al (2004)
Results II: Stellar Content of Satellites vs Halo
Does this make sense if halo is built from satellites?
Results II: Stellar Content of Satellites vs Halo
• Halo built inside out
• Surviving satellites accreted recently.
=> local halo (i.e. observed) from satellites accreted much earlier than surviving population.
Results II: Stellar Content of Satellites vs Halo
% Halo from Surviving Satellites:
All Within 20kpc
Halo 2
0.5 0.01
Halo 5
0.02 0.0002
Halo 7
0.1 0.0
Halo 9
0.3 0.001
• Moreover - negligible fraction of halo came from surviving satellites
=> Stars in halo likely to be chemically different from those in surviving satellites….
Results II: Stellar Content of Satellites vs Halo
Work with Andreea Font:
e.g. assuming a closed box model of chemical enrichment in our simulated satellites….
Observational collaborations: Guhathakurta, Rich & Majewski (US), Ferguson, Irwin & Ibata (Europe).
Outlook - More Dimensions
….to our analysis…and in observations:
• large scale spectroscopic surveys: RAVE, SEGUE, various proposed MOS (Supporting feasibility studies….)
• astrometric missions: SIM, GAIA…..
• variability studies: LSST
Summary
Models:• reproduce radial profile of stellar halo, number
and properties of surviving satellites and gas fraction in Local Group dwarfs.
Provide:• Testable predictions for level of substructure
around Milky Way and other galaxies.• Training set for recovering accretion histories
from observations.Suggest:• Stars in satellites expected to chemically
different than those in local halo
Cosmological Background
• Standard CDM
m=0.3, =0.7, h=0.7, 8=0.9,n=1
• Mass accretion histories generated via the Extended-Press-Schechter method
The SimulationsBackground potential• Fixed bulge and disk.• Spherical halo growing & NFW profile evolving
according to smoothed accretion history (Wechsler et al. 2002)
• Parent galaxy does not respond to satellites - Chandrasekhar-based dynamical friction calculated for each satellite (Hashinoto, Funato & Makino, 2003)
• Only those halos that have suffered no accretion event >10% in last 7 Gyears considered.
• 10-40% of luminous halo mass accreted in that time.
The Simulations
Satellites• 100K particles initialized as NFW density
profiles • Scales, masses, orbits and accretion
times chosen semi-analytically from cosmologically-motivated history.
• Self gravity calculated using a basis-function expansion code (Hernquist & Ostriker, 1992)
Assigning Gas and Forming Stars
• Satellite baryon content assigned from model considering feedback from ionizing background:– Systems with Vc<15km/s at zre are photoevaporated (e.g. Barkana & Loeb
99)– Systems with Vc<30km/s contain gas in proportion to mass in place at
reionization, zre=10 (e.g. Bullock, Kravtsov, & Weinberg 00).– Systems with Vc>30km/s are able to accrete gas subsequently in
proportion to dark matter accretion rate
• A fraction fcold of the gas is capable of forming stars • Star formation rate given by fcoldMgas/t*
Embedding stars within dark matter
• Embed dwarf galaxies within host dark matter hosts using particle energies.
• Assign M/L weights to produce King light profiles that match Local Group dwarf population.