Insights on galaxy evolution from the dark matter content ...€¦ · Crescenzo Tortora Insights on...
Transcript of Insights on galaxy evolution from the dark matter content ...€¦ · Crescenzo Tortora Insights on...
Crescenzo Tortora
Insights on galaxy evolution from the dark matter content of massive early-type galaxies
ITP Zurich
What is fun with dark matter (DM)?
DARK MATTER
DC comics
Futurama
…come back to talk about science!
Cosmology
Flat rotation curves
Clusters
Cosmic structures
• Direct detection of dark matter(CDMS, CRESST, EDELWEISS, EURECA, SIMPLE, PICASSO, ZEPLIN,XENON, DEAP, ArDM, WARP, LUX, DAMA/NaI, DAMA/LIBRA, ……)
• Indirect detection of dark matter(EGRET, MAGIC, PAMELA, AMANDA, IceCube, ANTARES, ……)
Unfortunately, no strong evidencesemerge from these observations
…..but DM remains the best, mosttested and simpler way to reproduceobservations!
Alternatives:
• MOND• Extended theories of gravity (f(R), etc.)•……
Shankar et al. 2006
Dark matter is 10-20 times more than stars
Overall DM content
few hundred kiloparsecs
• DM fraction vs mass and size
• DM density and cuspiness
• DM fraction vs formation epoch
• Insights on galactic ingredients (IMF, halo contraction, star formation efficiency, etc.)
few kiloparsecs
In this talk…
The physics behind
dark matter potential wells
baryons
Mcold
Mstar(SF efficiency)-1 =
Initial mass function (IMF)adiabatic contraction
Why central (<Reff) dark matter fractions?
- Star formation efficiency
- IMF and stellar population parameters
- DM distribution and halo contraction
- Infall processes- (Supernovae or AGN) feedback phenomena
- Shock heating- Merging
Most of the spectro-photometric data are available in the central regions (typically within 1 effective radius, Reff, or few Reff)
More extended data (out to the outskirts ofthe galaxies) available for few galaxies
Data and procedures
Multiband photometryStellar mass and population parameters(age and metallicity)
Spectra (slit, IFU, etc)
Velocity dispesion Total mass
Strong gravitationallensing
Mass model(SIS, constant M/L, NFW+light)
Toy-models from CDM predictions and simulations
We model the total mass profile using a SIS
SIS reproduces quite good the total mass profilein massive ETGs (e.g., Koopmans et al. 2006, Gavazzi et al. 2007)
Dark matter vs mass (size) and Fundamental Plane
Fundamental Plane
Observed Virial
Dressler et al. 1987
Non-homologiesStellar populationsDark matter
Typically, DM fraction is calculated at a homogeneous scale radius, the effective radius (enclosing one-half of the total stellar mass)
Cappellari et al. 2006
Hyde & Bernardi 2009
Taylor et al. 2010
Graves et al. 2010
Auger et al. 2010
Grillo et al. 2010
~ 400 local galaxies from Prugniel & Simien (1996)
Central DM fraction is anincreasing function ofluminosity/mass
Tortora et al. 2009
Bolton et al. 2007, Hyde & Bernardi 2009, La Barbera et al. 2010,…
Similar trends are found if IMF or the galaxy model are changed
Cardone et al. 2009
Cardone & Tortora 2010
Cardone et al. 2011
Phenomenological model with variable M/L
NFW or Burkert for DM profile
Semianalytical model
Napolitano, Romanowsky & Tortora 2010
The effective radius is the primary driver of DM fractions
Tortora et al. 2010
Sample of intermediate-redshift gravitational lenses (SLACS survey)
A definitive analysison dark matter!
SPIDER Spheroids Panchromatic Investigation in Different Environmental Regions
~ 5000 massive ETGs with grizYJHK photometry
La Barbera et al. 2010 (SPIDER I)
• structural parameters in all wavebands (determined using 2DPHOT, La Barbera et al. 2008)
• stellar masses derived from fitting synthetic models (Bruzual & Charlot 2003) to observed colours• recomputed velocity dispersions which allow to probe the total mass• different environments
SDSS + UKIDSS
SIS
Constant M/L profile
Mdyn > Mstar
SIS
Constant M/L
Mass follows light (modelled as a Sérsic profile)
DM plane
Environment
fieldsatellites
centrals
…vs simulations
Ruszkowski & Springel 2009
Non-contracted halo
Contracted halo
High gas conversionefficiencyLow gas conversionefficiency
Onorbe et al. 2007
• NFW for DM profile with a c-Mvir relation
• Sersic law for the light distribution
CDM toy-model predictions
Empirical relations among parameters like stellar mass, size, galaxy age, etc.
SF is a free parameter or fixed using literature trends (e.g. Conroy & Wechsler 2009)
Dynamical mass and DM fraction
Standard profileAdiabatic contraction (AC, Blumenthal et al. 1986, Gnedin et al. 2004)
Dark matter density and cuspiness
Napolitano, Romanowsky & Tortora 2010
LTGs
ETGs
DwEs
Non-contracted NFW
Contracted NFW
Evidence of cuspiness
Sample of intermediate-redshift gravitational lenses (SLACS survey)
SLACS lenses
LTGs
Dark matter vs formation epoch
Sample of intermediate-redshift gravitational lenses (SLACS survey)
Older galaxies are more compact
CDM fDM-age toy-model predictions
SF is left free
We divide the sample in stellar mass bins
Size-age relation in each mass bin
fDM-age predictions
Halo contraction
Standard CDM
Standard CDM
Halo contraction
IMF-AC degeneracy
Kroupa IMF
Salpeter IMF
10-30% 40-60%
Salpeter IMF (many low mass stars) Kroupa or Chabrier IMF (less low mass stars)
Salpeter + NFW Chabrier+ contracted NFW
DMhigh stellar M/L low stellar M/L
0 1 2 3 4 5m
0
0.05
0.1
0.15
0.2
m
Toy-models
What behind this correlation?
Size-age (e.g., Khochfar & Silk 2006)
Size-age (e.g., Khochfar & Silk 2006)
SF variation(e.g., Conroy & Wechsler 2009)
low SF
high SF
Size-age (e.g., Khochfar & Silk 2006)
SF variation(e.g., Conroy & Wechsler 2009)
AC variationyounger systems showing AC
AC
no-AC
Size-age (e.g., Khochfar & Silk 2006)
SF variation(e.g., Conroy & Wechsler 2009)
AC variationyounger systems showing AC
IMF variationbottom-havier (Salpeter-like) IMF for younger systems
Work in progress on the DM-age correlation
• SPIDER • SAURON• ……..
….promising tool to test galaxy evolutionprocesses……
Conclusions• Central DM driven by mass but mainly by the size (DM plane)
• First evidences of cuspiness in ETGs
• IMF – halo contraction degeneracy
• An inverse correlation between DM fraction and formation timehas been found
• It is possibly suggesting variations of star formationefficiency, IMF and halo contraction with age and/or mass
Better data-quality and wider samples of galaxies to checkthe results and improve the physical implications
VST
Grazie