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Extinction Curves of Lensing Galaxies

Árdís ElíasdóttirDark Cosmology Centre

Niels Bohr Institute, Univ. of Copenhagen(ardis@dark-cosmology.dk)

Jens Hjorth (DARK)Sune Toft (Yale, ESO)

Ingunn Burud (Norwegian Meteorological Institute)Danuta Paraficz (DARK, NOT)

UC Berkely Cosmology Seminar - 24st of October 2006

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Contents

• Introduction• Extinction curves for higher redshift

galaxies• Extinction curves from lensed QSOs

– Method– Previous results

• VLT survey and results• Future prospects

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INTRODUCTION

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Lensing• The bending of light

due to the presence ofmatter along the line ofsight

• The lens equation:

!

s =Ds

Dl

r "Dls

ˆ #

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Extinction curves

• Measure the differencein emitted and observedlight

• Caused by interstellardust

• Traditionally measuredby comparing two starsof the same spectraltype

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The Galactic Extinction Curve

• Bump at 2175 Å (4.6 µm-1)

• RV : Ratio of total to selectiveextinction in the V band

• Mean value is RV = 3.1 (blue)

• Low value: RV = 1.8 (green) (Udalski2003)

• High value: RV = 5.6-5.8 (red)(Cardelli et al. 1989, Fitzpatrick et al.1999)

Galactic Extinction - empirically determined:– <A(λ)/A(V)> = a(λ-1) + b(λ-1)/RV (Cardelli et al. 1999)

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Other nearby galaxies

• LMC: Smaller bump andsteeper rise into the UV(Nandy et al. 1981)

• SMC: No bump, wellfitted by A(λ) ∝ 1/ λ(Prevót et al. 1984)

• M31: Average Galacticextinction law (Bianchi etal. 1996)

Graph from Pei (1992)

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HIGHER REDSHIFT EXTINCTION CURVES

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Why measure higher redshiftextinction curves?

• From the four examples we know, we seethat extinction curves can vary greatly

• When analysing data where extinction needsto be accounted for the galactic extinctioncurve is frequently assumed

• Dust behaviour, and hence extinction,expected to vary with z

• So, how do we do it?

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(York et al. 2006)

Extinction curves from QSOs

• Compare the composite spectraof quasars (DLAs, absorbers,galaxies) to a standard spectra

• Varying results– DLAs

• Extinction (Pei et al. 1992)• No extinction (Murphy & Liske

2004, Ellison et al. 2005)

– Mg II absorbers• Galactic extinction (Malhotra 1997)• SMC extinction (York et al. 2006)

– Foreground galaxies• Galactic type extinction (Östman et

al. 2005)

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Extinction curves from GRBs

• Found bystudying thespectral energydistribution

• Seem to favourSMC typeextinction(Jakobsson etal. 2004, Kannet al. 2005)

(Kann et al. 2005)

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Extinction curves from SNe Ia

• Consistent with Galacticextinction (Riess et al.1996)

• Lower RV values - SNe Iaenvironmentssystematically different?(Branch & Tammann1992, Krisciunas et al.2000)

• Extinction estimatesmight be affected bycircumstellar dust (Wang2005)

(Wang 2005)

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EXTINCTION CURVES FROM LENSED QSOs

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The Method

• Compare two images, where ideally one should sufferno extinction and the other go through the galaxy

• For more than doubly imaged quasars have thepossibility of getting more than one curve for thelensing galaxy

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Extinction along both lines of sight

!

Adiff(") = A

B(") # AA

(")

= EB# E

A( ) RVdiff a("#1) + b("#1)[ ]

!

RVdiff

RVB

= 1+E

A/E

B

1" EA/E

B1"

RVA

RVB

#

$ %

&

' (

) 1+*

!

E " E(B #V ) = A(B) # A(V )( )

Galactic extinction:

The deviation of thereal RV to thededuced RV

diff isgiven by η, where:

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Extinction alongboth lines of sight

RV=2.0 (lower E(B-V))

RV=4.0 (higher E(B-V))

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Microlensing

• The lensing by stars or other objects in the lensgalaxy

• Affects the continuum part of the emission• Effects can look like ‘extinction’• If the data are taken on a timescale smaller than

that of the microlensing signal, then any achromaticmicrolensing signal should, to first order, only affectthe estimate of the intrinsic magnitude ratio

• For chromatic microlensing, it is necessary to studythe spectra of the quasars to separate it from theextinction signal

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Time delays

• Travel path for different images differs ⇒intrinsic variations show up at different times

• Ideally one should take data with a timedifference corresponding to the time delay

• Alternatively, if data are taken simultaneously,then the intrinsic variations should only affectthe estimated intrinsic brightness ratio of theimages

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PREVIOUS STUDIES

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Falco et al. 1999• Studied the extinction of

23 lensing galaxies with0<z<1 by assuming amean Galactic extinctionlaw

• They did further analysison a few systems wherethey allowed RV to vary

• Note: Their data iscombined from epochsspanning several years

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Motta et al. (2002)

• SBS 0909+532• zl = 0.83• Strong detection of

the 2175 Å bump• RV = 2.1 ± 0.9• E(B-V) = 0.21 ±

0.02

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Muñoz et al. (2004)

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VLT SURVEY

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• 10 systems, (5 doubles and 5 quads)

• Broad wavelength coverage (U,B,V,R,I,z’,J,H,Ks )

• 3 late type, 7 early type galaxies

• Lens redshift zl =0.04-1.01

• Effort made to minimize time delay between observations

VLT Survey

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Correcting for microlensing

• Calculate the proportion of the continuum part tothe the full emission for each band

• Introduce a correction due to microlensing which isproportional to this ratio

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Extinction laws considered• Galactic extinction law

• Linear SMC type extinction

• Power law

!

A(") = A(V )"

5500Å

#

$ %

&

' (

)1

!

A(") = A(V )"

5500Å

#

$ %

&

' (

)*

!

A(") = A(V ) a("#1) + RVb("#1)[ ]

!

E(B "V ) = A(B) " A(V )

!

RV"

A(V )

E(B #V )

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RESULTS - INDIVIDUAL SYSTEMS

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B1152+199• Lens system

– Double– Late type galaxy– zl = 0.44– zQ = 1.02

• Best fit from a Galactic extinctionlaw with– RV = 2.1 ± 0.1– A(V) = 2.43 ± 0.09

• When the intrinsic ratio is fixed,the best fit gives– RV = 2.0 ± 0.1– A(V) = 2.41 ± 0.09– s = 0.32 ± 0.07

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HE0512-3329• Lens system

– Double– Late type galaxy– zl = 0.93– zQ = 1.57

• Linear extinction– Best fit– A(V) = 0.35 ± 0.02

• Galactic fit– A(V) = 0.14 ± 0.04– RV = 1.7 ± 0.4

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MG0414+0534• Lens properties

– Quad

– Early type galaxy

– zl = 0.96; zQ = 2.64

• Similar goodness of fits

• Galactic extinction - A2-B:

– A(V) = 0.87 ± 0.05

– RV = 2.7 ± 0.2

• Galactic extinction - A2-C:

– A(V) = 0.91 ± 0.04

– RV = 2.6 ± 0.1

• The similar properties derived fromcomparing to B and C suggest that theirextinction does not affect the result

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RESULTS - FULL SAMPLE

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Parameters of the fits

• Mean RV is:– RV = 2.8 ± 0.3 (full sample)– RV = 2.8 ±0.4 (‘golden’ sample)

• Mean A(V) = 0.54 (Galacticextinction)

• See no correlation betweenA(V) and RV

• Strong anti-correlationbetween RV and α

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Preferred extinction

• The sample as awhole does notshow a preferencefor a certainextinction law

• Individual systemscan show a strongpreferenceGalactic: blue cross

Power law: green starLinear law: red diamond

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Extinction vs. redshift and type

• See no strongcorrelation betweenextinction properties andredshift in our sample

• Find (but beware smallnumber statistics!):– RV=2.3 ± 0.5 (late type)

– RV=3.2 ± 0.6 (early type)

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FUTURE PROSPECTS

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Future prospects

• Method is ideal for studying dust extinctionof high redshift galaxies

• Can complement various cosmologicalprobes, where dust correction is crucial (e.g.SN Ia studies)

• Ideal for studying evolution of dustproperties in the redshift range of 0 < z < 1

• Need a larger sample to make statisticallyrobust claims

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What’s required?

• To increase sample size, need higher resolution ->space based observations

• Effects of extinction along both lines of sight reducedfor a large sample

• Use galaxy-galaxy lenses?

• Want multiband observations in the optical and theinfrared

• A simultaneous radio survey, to constrain the intrinsicratio, would be very useful

• Can SNAP be of use?

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SNAP prospects

• SNAP has 9 filters, 6optical and 3 IR, fromλ≈450-1500 nm

• Will provide anextensive sample tostudy extinction and itsevolution with redshift

100-100050.000Wide (WL)

~105.000Deep (SNIa)

QuasarGalaxy(Marshall etal. 2005)

(Krisciunas et al. 2006)

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Summary• Multiply imaged quasars can be used to study the

extinction curves of lensing galaxies• Extinction along both lines of sight can affect single

systems, but partially cancels out in a large sample• Our mean RV = 2.8 ± 0.3 is slightly lower than, but

consistent with, that of the Galaxy (RV = 3.1)• We see no strong correlation between extinction

properties and redshift• A larger sample size is needed to make statistically

robust claims -> space based survey of greatinterest -> a SNAP ‘piggy-back’ survey?