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WHAT CAN WE DEDUCE FROM STUDIES OF NEARBY
GALAXY POPULATIONS?
1) This talk focuses on large statistical samples, SDSS
in particular
2) Spatially resolved imaging, but only single fibre
spectroscopy
3) Focus is on OPTICAL imaging and spectroscopy:
this provides information about stellar populations, but
not gas.
TWO PARALLEL APPROACHES:
“Ab initio” approach to understanding galaxy formation: now that we
know the initial conditions, let us appeal to physical intuition and
calculate forward to the best of our abilities.
“Darwinian” approach to understanding galaxy formation: collect the
pigeons and the butterflies, dissect and study them, try to ascertain
whether physical intuition was correct.
COUNTING
GALAXIES
Problem: Too much degeneracy.
Many different physical processes
shape the luminosity function
Benson et al (2003)
BIG ADVANCE thanks to large surveys:
Use of galaxy/galaxy lensing and/or clustering to derive
the relation between dark matter halo mass and galaxy
mass/luminosity
Consensus view:
Efficiency of conversion
of baryons into stars
peaks at a halo mass of
a few x 10^11 Msun
Note that the typical
galaxy in such a halo has
a stellar mass of
a few times 10^10 Msun
Guo & White 2010
Line
corresponding
to a stellar
mass of
10^10 Msun
The galaxy population undergoes an abrupt transition from
“actively star-forming” to “passive” at a stellar mass of a
few x 10^10 Msun
Baldry et al 2004
Is the transition from
“actively star-forming”
to “passive” driven by
processes that connect
to the dark matter halo,
or is the transition
caused by internal
processes?
Bimodality is seen not only in stellar
mass, but also in galaxy structural
parameters Kauffmann et al (2003)
HALO-BASED PROCESSES
1) Quenching of star formation in massive groups and
clusters
2) Radio mode feedback
INTERNAL PROCESSES
1) Ejection of metals by supernovae
2) Regulation of star formation by interactions and internal
instabilities
HALO-BASED PROCESS 1: quenching of star formation in
massive groups and clusters through ram-pressure stripping.
Removal of INTERNAL gas reservoirs
==> rapid shutdown of SF
Removal of EXTERNAL gas reservoirs
==> slow shutdown of SF
This process is NOT responsible for establishing the bimodal
red and blue populations, only for shifting the relative fraction
of galaxies located in the two.
Kauffmann et al 2004
●ENVIRONMENTAL EFFECTS ON GALAXY STRUCTURE
ARE VERY WEAK (this disfavours “harassment” from playing
a role in the evolution of the massive galaxy population)
Kauffmann et al 2004
By looking at correlations between different star formation
indicators that probe star formation over different
TIMESCALES as a function of environment, we deduce that
the quenching timescales were longer than 1 Gyr
(at least in the centers of galaxies).
CONSTRAINING QUENCHING
TIMESCALES
In rich clusters, a sharp increase in the
number of red galaxies is seen at the
virial radius. However, there is still no
definitive evidence of a corresponding
change in the number of strong Balmer
line systems, which would indicate a
sudden truncation of star formation.
Note, however , that this applied to 3
arcsec diameter fiber spectra!
Von der Linden et al (2010)
HALO-BASED PROCESS 2: radio AGN feedback
Donoso et al (2010)
SDSS has provided clear
evidence that this process is
halo-driven.
Halo-Occupation Distribution (HOD) models of the radio AGN population
places them into somewhat more massive halos than required to explain the
bimodality, but error bars still large (Mandelbaum et al 2009)
HALO-BASED PROCESS 3: gas accretion
NO DIRECT CONSTRAINTS AVAILABLE FROM OPTICAL SURVEYS
INTERNAL PROCESS 1: supernova feedback as traced
by metals
Metallicity of a galaxy is most fundamentally relates to MASS ,i.e
potential well depth is regulating the fraction that escape in winds
Tremonti et al 2004
Mannucci et al 2011 Yates et al 2011, submitted
There are additional dependencies on specific star formation rate.
SSFR is likely to correlate with gas fraction – a reflection of the amount
of recent accretion onto the galaxy?
Note that although the scatter in
the gas-phase M*-Z relation
remains quite low down to low
M*, the same is NOT true for the
stellar M*-Z relation (Gallazzi et
al 2005)
Why? Stochasticity in accretion
history?
INTERNAL PROCESS 2: regulation of star formation by
bar-driven inflows and interactions
Jing Wang 2011,
to be submitted
(see also recent work by Sara Ellison)
As expected, galaxies with strong bars, have more
centrally concentrated star formation, when compared
to controls samples matched in M*, R90/R50 and colour
C(SF) = sSFR(in fiber)/sSFR(total)
The fraction of strong bars reaches values greater than
50% in galaxies with centrally concentrated star formation,
with log M*> 10.5, with log μ* < 8.6 and low bulge-to-disk
ratios (C < 2.3)
Results at odds with the Efstathiou
et al (1982) formular for disk stability
that is implemented in SAMs?
(Note that the effect of gas is NOT
taken into account)
There is a SECONDARY peak in strong bar fraction at low values of C(SF).
This ties in with earlier results by Kauffmann et al (2006), showing clar regions of galaxy
structure parameter space where SFHs were most STOCHASTIC.
It now appears the at least some of this stochasticity is cased by bar-driven inflows.
●Galaxy-Galaxy Interactions are another INDEPENDENT channel for triggering
enhanced levelsof star formation in galaxies .
●Strongly barred galaxies exhibit no excess in close neighbours
●At fixed separation, the enhancement is larger for low mass galaxies.
●A rough estimate shows that bars + interactions together can account for all galaxies in the local
Universe whose star formation is enhanced above the average level.
Li et al 2008,2009
INTERNAL PROCESS 3: gas expulsion by AGN,
or radiation pressure from young stars
NO DIRECT CONSTRAINTS AVAILABLE FROM OPTICAL SURVEYS
SUMMARY: Recent large optical spectroscopic surveys have
taught us a lot about galaxy formation, including
How galaxies trace dark matter halos (as a function of stellar mass and other properties)
That there are clear “scales” in galaxy formation – the conversion of baryons into stars
peaks at M(halo) ~ 10^12 Msun. Galaxies transition from blue to red at log M* ~10.5,
log mu*=8.5 and C~2.6.
These scales were likely imprinted at early epochs. They do not vary with environoment.
In dense environments, star formation in galaxies shuts down over timescales of 1-2 Gyr;
structural parameters remain largely fixed.
The Mass-metallicity relation , its scatter and the variation of galaxy properties
perpendicular to the relation constrain gas accretion/starformation/ SN feedback in galaxies
Star formation rates may be regulated by a combination of galaxy-galaxy interactions and
bar driven inflows.
WHAT THESE SURVEYS HAVE NOT CONSTRAINED VERY WELL:
1) Mechanisms and rates of accretion onto galaxies
2) Outflows of gas from galaxies (apart from some work on ionized gas outflows )
3) The influence of the black hole on galaxy evolution

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WHAT CAN WE DEDUCE FROM STUDIES OF NEARBY GALAXY POPULATIONS?

  • 1. WHAT CAN WE DEDUCE FROM STUDIES OF NEARBY GALAXY POPULATIONS?
  • 2. 1) This talk focuses on large statistical samples, SDSS in particular 2) Spatially resolved imaging, but only single fibre spectroscopy 3) Focus is on OPTICAL imaging and spectroscopy: this provides information about stellar populations, but not gas. TWO PARALLEL APPROACHES: “Ab initio” approach to understanding galaxy formation: now that we know the initial conditions, let us appeal to physical intuition and calculate forward to the best of our abilities. “Darwinian” approach to understanding galaxy formation: collect the pigeons and the butterflies, dissect and study them, try to ascertain whether physical intuition was correct.
  • 3. COUNTING GALAXIES Problem: Too much degeneracy. Many different physical processes shape the luminosity function Benson et al (2003)
  • 4. BIG ADVANCE thanks to large surveys: Use of galaxy/galaxy lensing and/or clustering to derive the relation between dark matter halo mass and galaxy mass/luminosity Consensus view: Efficiency of conversion of baryons into stars peaks at a halo mass of a few x 10^11 Msun Note that the typical galaxy in such a halo has a stellar mass of a few times 10^10 Msun Guo & White 2010
  • 5. Line corresponding to a stellar mass of 10^10 Msun The galaxy population undergoes an abrupt transition from “actively star-forming” to “passive” at a stellar mass of a few x 10^10 Msun Baldry et al 2004
  • 6. Is the transition from “actively star-forming” to “passive” driven by processes that connect to the dark matter halo, or is the transition caused by internal processes? Bimodality is seen not only in stellar mass, but also in galaxy structural parameters Kauffmann et al (2003)
  • 7. HALO-BASED PROCESSES 1) Quenching of star formation in massive groups and clusters 2) Radio mode feedback INTERNAL PROCESSES 1) Ejection of metals by supernovae 2) Regulation of star formation by interactions and internal instabilities
  • 8. HALO-BASED PROCESS 1: quenching of star formation in massive groups and clusters through ram-pressure stripping. Removal of INTERNAL gas reservoirs ==> rapid shutdown of SF Removal of EXTERNAL gas reservoirs ==> slow shutdown of SF
  • 9. This process is NOT responsible for establishing the bimodal red and blue populations, only for shifting the relative fraction of galaxies located in the two. Kauffmann et al 2004
  • 10. ●ENVIRONMENTAL EFFECTS ON GALAXY STRUCTURE ARE VERY WEAK (this disfavours “harassment” from playing a role in the evolution of the massive galaxy population) Kauffmann et al 2004
  • 11. By looking at correlations between different star formation indicators that probe star formation over different TIMESCALES as a function of environment, we deduce that the quenching timescales were longer than 1 Gyr (at least in the centers of galaxies).
  • 13. In rich clusters, a sharp increase in the number of red galaxies is seen at the virial radius. However, there is still no definitive evidence of a corresponding change in the number of strong Balmer line systems, which would indicate a sudden truncation of star formation. Note, however , that this applied to 3 arcsec diameter fiber spectra! Von der Linden et al (2010)
  • 14. HALO-BASED PROCESS 2: radio AGN feedback Donoso et al (2010) SDSS has provided clear evidence that this process is halo-driven.
  • 15. Halo-Occupation Distribution (HOD) models of the radio AGN population places them into somewhat more massive halos than required to explain the bimodality, but error bars still large (Mandelbaum et al 2009)
  • 16. HALO-BASED PROCESS 3: gas accretion NO DIRECT CONSTRAINTS AVAILABLE FROM OPTICAL SURVEYS
  • 17. INTERNAL PROCESS 1: supernova feedback as traced by metals Metallicity of a galaxy is most fundamentally relates to MASS ,i.e potential well depth is regulating the fraction that escape in winds Tremonti et al 2004
  • 18. Mannucci et al 2011 Yates et al 2011, submitted There are additional dependencies on specific star formation rate. SSFR is likely to correlate with gas fraction – a reflection of the amount of recent accretion onto the galaxy?
  • 19. Note that although the scatter in the gas-phase M*-Z relation remains quite low down to low M*, the same is NOT true for the stellar M*-Z relation (Gallazzi et al 2005) Why? Stochasticity in accretion history?
  • 20. INTERNAL PROCESS 2: regulation of star formation by bar-driven inflows and interactions Jing Wang 2011, to be submitted (see also recent work by Sara Ellison)
  • 21. As expected, galaxies with strong bars, have more centrally concentrated star formation, when compared to controls samples matched in M*, R90/R50 and colour C(SF) = sSFR(in fiber)/sSFR(total)
  • 22. The fraction of strong bars reaches values greater than 50% in galaxies with centrally concentrated star formation, with log M*> 10.5, with log μ* < 8.6 and low bulge-to-disk ratios (C < 2.3) Results at odds with the Efstathiou et al (1982) formular for disk stability that is implemented in SAMs? (Note that the effect of gas is NOT taken into account)
  • 23. There is a SECONDARY peak in strong bar fraction at low values of C(SF). This ties in with earlier results by Kauffmann et al (2006), showing clar regions of galaxy structure parameter space where SFHs were most STOCHASTIC. It now appears the at least some of this stochasticity is cased by bar-driven inflows.
  • 24. ●Galaxy-Galaxy Interactions are another INDEPENDENT channel for triggering enhanced levelsof star formation in galaxies . ●Strongly barred galaxies exhibit no excess in close neighbours ●At fixed separation, the enhancement is larger for low mass galaxies. ●A rough estimate shows that bars + interactions together can account for all galaxies in the local Universe whose star formation is enhanced above the average level. Li et al 2008,2009
  • 25. INTERNAL PROCESS 3: gas expulsion by AGN, or radiation pressure from young stars NO DIRECT CONSTRAINTS AVAILABLE FROM OPTICAL SURVEYS
  • 26. SUMMARY: Recent large optical spectroscopic surveys have taught us a lot about galaxy formation, including How galaxies trace dark matter halos (as a function of stellar mass and other properties) That there are clear “scales” in galaxy formation – the conversion of baryons into stars peaks at M(halo) ~ 10^12 Msun. Galaxies transition from blue to red at log M* ~10.5, log mu*=8.5 and C~2.6. These scales were likely imprinted at early epochs. They do not vary with environoment. In dense environments, star formation in galaxies shuts down over timescales of 1-2 Gyr; structural parameters remain largely fixed. The Mass-metallicity relation , its scatter and the variation of galaxy properties perpendicular to the relation constrain gas accretion/starformation/ SN feedback in galaxies Star formation rates may be regulated by a combination of galaxy-galaxy interactions and bar driven inflows. WHAT THESE SURVEYS HAVE NOT CONSTRAINED VERY WELL: 1) Mechanisms and rates of accretion onto galaxies 2) Outflows of gas from galaxies (apart from some work on ionized gas outflows ) 3) The influence of the black hole on galaxy evolution