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Chemo-dynamics of galaxies with resolved stellar population Chemo-dynamics of galaxies with resolved stellar population

Chemo-dynamics of galaxies with resolved stellar population - PowerPoint Presentation

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Chemo-dynamics of galaxies with resolved stellar population - PPT Presentation

Giuseppina Battaglia Instituto de Astrofisica de Canarias Tenerife Credit ESO HHHeyer Credit ESOL Calçada Karachentsev et al 2014 Individual Red Giant Branch stars ID: 388578

stellar amp galaxies battaglia amp stellar battaglia galaxies mag 2010 rgb stars vlt 2008 2011 large cat dwarf range

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Slide1

Chemo-dynamics of galaxies with resolved stellar populations: now and then

Giuseppina BattagliaInstituto de Astrofisica de Canarias, Tenerife

Credit

: ESO/

H.H.Heyer

Credit

: ESO/L.

Calçada

Karachentsev

et al. 2014Slide2

Individual

Red Giant Branch stars& CaII triplet intermediate resolution spectroscopy

Gallart

et al 2005

Tracers of galaxy evolution from recent epochs back to the oldest times

Bright!

B

rightest feature in old stellar pop.

At low/ intermediate resolution (R ~ 3

000

-6000

) -> short(

ish

) exposure times:

KINEMATICS: Velocities accurate to a few km/s

CHEMISTRY: Calibration

CaT EW – [Fe/H] OVER A WIDE [Fe/H] RANGE (e.g. Rutledge et al. 1997, Cole et al. 2004, Battaglia et al. 2008, Starkenburg et al. 2010, Carrera et al. 2013 etc.)

Starkenburg

et al. 2010Slide3

Credits:

M.Mateo

McConnachie

2012

Dwarf galaxies: even the simplest galaxies are complexSlide4

Credits:

M.Mateo

McConnachie

2012

Milky Way Dwarf

spheroidals

&

VLT/FLAMES

Phoenix transition type &

VLT/FORS

NGC6822 dwarf irregular &

VLT/MUSE

Early-types

Late-types

Figure credits:

McConnachie

2012; Mario Mateo; Stephen

Leshin

; Local Group Survey Team; Lowell Observatory

Dwarf galaxies: even the simplest galaxies are complexSlide5

Spatial variations of

metallicity properties

Sculptor

dSph

(

Tolstoy et al.

2004,

Battaglia et al. 2008)

Fornax

dSph

(

Battaglia

et al.

2006, 2008)

Sextans

dSph

(

Battaglia

et al. 2011)

[Fe/H] from

CaT

lines calculated using the calibration from

Starkenburg

et al. 2010

(see also e.g. Koch et al. 2006;

Faria

et al. 2007;

Gullieuszik

et al. 2009; Kirby et al. 2011)

Phoenix

dT

(

Kacharov

,

Rejkuba

,

Battaglia

et al.

in prep)

r

tid

r

core

r

core

r

tid

r

tid

r

core

r

core

r

tid

180

mem

180

mem

600

mem

850

memSlide6

A

“centrifugal barrier” mechanism?

Phoenix

Pegasus

Leaman

et al. 2013

Non-rotating Rotating

Less massive (

Mdm

~ 5 x 10^8

Msun

)

More massive (

Mdm

~ 3 x 10^9

Msun

)

Schroyen

et al. 2011

Interesting to analyze

dIrrs

and

dTs

as a function of mass and angular momentum; we are starting to populate the parameter spaceSlide7

MP

MR

Metal-rich

[Fe/H] > -1.5

Metal-poor

[Fe/H] < -1.7

Multiple stellar components & dark matter:

Sculptor

(found also in

Fornax

and

Sextans

)

Battaglia

et al. (2008)

-

Kinematics of multiple

stellar

components

prefer

a

cored

profile

to

a

cuspy

one

(

Battaglia

et al. 2008)

-

Not

possible

to

make a

distinction

when

treating

the stars as 1 component

-

Results

confirmed

by

other

groups

(Walker &

Peñarrubia

2011;

Amorisco

& Evans 2012)

Cored _____

Cusped - - - -

No selection in [Fe/H]

Line-of-sight velocity dispersion profiles:Slide8

VLT/FORS: Tolstoy et al. 2001

VLT/FLAMES: Tolstoy et al. 2004,

Battaglia

et al. 2006, 2008, 2011,

Starkenburg

et al. 2010

Much wider range of [Fe/H] values within each galaxy than previously thought -> this should give indications on the galaxy

s capability to retain its ISM -> potential well

Presence of (rare) extremely metal-poor stars

(see also Kirby et al. 2009,

Frebel

2010,

Tafelmeyer

et al.2010)

Sculptor

Fornax

Large number statistics is important !

Sculptor

FornaxSlide9

Spatially extended

vs centrally concentrated samplesSlide10

Spatially extended

vs centrally concentrated samples

Kirby et al. 2010, 2011Slide11

Can we carry out similar observations out to the distance of the Virgo cluster using the E-ELT + HARMONI ?

GENERAL AIM: [Fe/H] (±0.3dex) and line-of-sight velocities (±20 km/s for large galaxies, 5km/s for dwarfs) from the

CaT

lines for about 1000 individual RGB stars in a

reasonable” observing time out to a few Mpc (Virgo?)

In the

E-ELT era: Simulations within the Design Reference Mission

Credit

: ESO/L.

CalçadaSlide12

Objects and Distance range:

Generalities

~1

Mpc

(LG: NGC205) 4

Mpc

(

CenA

) 17

Mpc

(Virgo: M87)

Tip of the RGB

in I-mag at

~

:

20.6 23.9 27.2

Target RGB + stellar background from mock stellar population yielding a given surf. brightness (code by J.

Liske

)

Constant SFH (14-12Gyr)

[Fe/H] = -1.7 (MP)

[Fe/H] = -1.0 (MR)

Spectrum star 1

+ spectrum star 2

+ ……

+ …. Star N

+ sky contribution

& technical effects

= Integrated spectrum

Spectra from the

Munari

et al. 2005 synthetic spectral library Slide13

R = 4000 & 9000

Instantaneous field-of-view = 5

x 10

Spatial pixel (

spaxel) size = 40 mas x 40 mas35% instrument throughput

18% Encircled Energy in one spaxel in I-band

Instrumental and technical adopted characteristics

INSTRUMENT (adapted to HARMONI)

TECHNICAL PARAMETERS

Exposure time (20min to 50h)

Site (

Paranal

-like;

High&Dry

)

Mirror coating (bare Al;

Ag/Al

)

Zenith & seeing = 0.8”

Diameter = 42m (to be updated to 39m)Slide14

2 Re ≈

12 kpc

(23.7 mag/arcsec^2)

5 Re ≈

30

kpc

(26.3 mag/arcsec^2)

5

Centaurus

A

[Fe/H]=-1 ; target RGB 0.5 mag below tip (I= 24.4)

No crowding at these distances at the explored mag.

High&Dry

; Ag/Al

R=4000&9000Slide15

Centaurus

A

[Fe/H] and

vel

requirements fulfilled in 1h considering the flux in only 1

spaxel

!

EE= 18%:

-> seeing 0.6”If EE=9%

-> exp. time x 4

In reality we will recover the flux over multiple

spaxels

Numb RGB stars per pointing (I <= tip – 0.5mag):

1Re = 75

2Re = 16

3.5Re= 4

-> well feasible to observe 1000 target RGBsSlide16

M87/Virgo

[Fe/H]=-1 ; target RGB at the tip (I= 27.2)

Some crowding already at 4Re (22.2 mag/arcsec^2)

Critical to explore options to use more

spaxels

(

ala

Kammann et al.)

Most likely observations limited to a few

pointings

Slide17

Summary

Even small systems like dwarf galaxies are complex (e.g. metallicity gradients, large range of [Fe/H], multiple-stellar components, rotation etc.). Large number statistics and spatial coverage are important (even more so for larger/more complex galaxies)Intermediate res. Spectroscopy of large numbers of individual RGB stars in the nIR

CaT region with E-ELT+HARMONI:

Well feasible out to a few

Mpc (e.g. CenA

) Much more time consuming at the distance of VirgoSlide18

Caveats

Simulations assumed “perfect” data reduction. Only 1-D spectra simulated.No effect of airmass; just one seeingOnly one spaxel considered and for completely resolved stars Restricted range of SFHs/target types (RGBs)/only CaT

Next Steps

HARMONI simulator (DATA CUBES)Explore options to deal with crowding and extract flux from more spaxels (e.g. as Kammann

et al.)

Actual IFU observations of Local Group systemsSlide19

Resolved stellar population studies with IFUs: NGC6822

dIrr @ VLT/MUSE (PI: Mendel)D= 490kpc

Star-forming and g

as-rich

MV= -15.2Pointing:Surf. Bright V ~ 20.8 mag/arcsec^2

~ half-light radius1’ x 1’, 0.2”/pixel (0.3”-0.4” FWHM)R = 1700 (480nm) – 3600 (930nm)1.5h on source

“BVI” MUSE imageSlide20

Resolved stellar population studies with IFUs:

NGC6822 dIrr @ VLT/MUSE (PI: Mendel)

192 sources

288 sources

Data reduction mostly with ESO pipeline

Source extraction/sky-subtraction with

PampelMUSE

(

Kammann et al. 2013)