Insights on galaxy evolution from the dark matter content ...€¦ · Crescenzo Tortora Insights on...

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Crescenzo Tortora Insights on galaxy evolution from the dark matter content of massive early-type galaxies ITP Zurich

Transcript of Insights on galaxy evolution from the dark matter content ...€¦ · Crescenzo Tortora Insights on...

Page 1: Insights on galaxy evolution from the dark matter content ...€¦ · Crescenzo Tortora Insights on galaxy evolution from the dark matter content of massive early-type galaxies ITP

Crescenzo Tortora

Insights on galaxy evolution from the dark matter content of massive early-type galaxies

ITP Zurich

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What is fun with dark matter (DM)?

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DARK MATTER

DC comics

Futurama

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…come back to talk about science!

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Cosmology

Flat rotation curves

Clusters

Cosmic structures

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• 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

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…..but DM remains the best, mosttested and simpler way to reproduceobservations!

Alternatives:

• MOND• Extended theories of gravity (f(R), etc.)•……

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Shankar et al. 2006

Dark matter is 10-20 times more than stars

Overall DM content

few hundred kiloparsecs

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• 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…

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The physics behind

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dark matter potential wells

baryons

Mcold

Mstar(SF efficiency)-1 =

Initial mass function (IMF)adiabatic contraction

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Why central (<Reff) dark matter fractions?

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- Star formation efficiency

- IMF and stellar population parameters

- DM distribution and halo contraction

- Infall processes- (Supernovae or AGN) feedback phenomena

- Shock heating- Merging

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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

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Data and procedures

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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

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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)

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Dark matter vs mass (size) and Fundamental Plane

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Fundamental Plane

Observed Virial

Dressler et al. 1987

Non-homologiesStellar populationsDark matter

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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

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~ 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,…

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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

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Napolitano, Romanowsky & Tortora 2010

The effective radius is the primary driver of DM fractions

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Tortora et al. 2010

Sample of intermediate-redshift gravitational lenses (SLACS survey)

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A definitive analysison dark matter!

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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

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SIS

Constant M/L profile

Mdyn > Mstar

SIS

Constant M/L

Mass follows light (modelled as a Sérsic profile)

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DM plane

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Environment

fieldsatellites

centrals

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…vs simulations

Ruszkowski & Springel 2009

Non-contracted halo

Contracted halo

High gas conversionefficiencyLow gas conversionefficiency

Onorbe et al. 2007

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• 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)

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Dark matter density and cuspiness

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Napolitano, Romanowsky & Tortora 2010

LTGs

ETGs

DwEs

Non-contracted NFW

Contracted NFW

Evidence of cuspiness

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Sample of intermediate-redshift gravitational lenses (SLACS survey)

SLACS lenses

LTGs

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Dark matter vs formation epoch

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Sample of intermediate-redshift gravitational lenses (SLACS survey)

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Older galaxies are more compact

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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

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Halo contraction

Standard CDM

Standard CDM

Halo contraction

IMF-AC degeneracy

Kroupa IMF

Salpeter IMF

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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

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What behind this correlation?

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Size-age (e.g., Khochfar & Silk 2006)

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Size-age (e.g., Khochfar & Silk 2006)

SF variation(e.g., Conroy & Wechsler 2009)

low SF

high SF

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Size-age (e.g., Khochfar & Silk 2006)

SF variation(e.g., Conroy & Wechsler 2009)

AC variationyounger systems showing AC

AC

no-AC

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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

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Work in progress on the DM-age correlation

• SPIDER • SAURON• ……..

….promising tool to test galaxy evolutionprocesses……

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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

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VST

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Grazie