véronique buat & sebastien heinis with the contribution of laure ciesla

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Far-infrared properties of UV selected galaxies from z=4 to z=1.5: unveiling obscured star formation Véronique Buat & Sebastien Heinis With the contribution of Laure Ciesla Based on HerMES/SPIRE data in the COSMOS field Heinis, Buat et al. 2013 From Exoplanets to Distant Galaxies: SPICA’s New Window on the Cool Universe 18-21 june 2013-University of Tokyo, Japan

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Far-infrared properties of UV selected galaxies from z=4 to z=1.5: unveiling obscured star formation. Véronique Buat & Sebastien Heinis With the contribution of Laure Ciesla Based on HerMES /SPIRE data in the COSMOS field Heinis , Buat et al. 2013. - PowerPoint PPT Presentation

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Page 1: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Far-infrared properties of UV selected galaxies from z=4 to z=1.5: unveiling obscured star

formationVéronique Buat & Sebastien Heinis

With the contribution of Laure Ciesla

Based on HerMES/SPIRE data in the COSMOS fieldHeinis, Buat et al. 2013

From Exoplanets to Distant Galaxies: SPICA’s New Window on the Cool Universe18-21 june 2013-University of Tokyo, Japan

Page 2: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Elbaz’s lectures (david.elbaz3.free.fr/coursJ1.html), adapted from Devriendt+99

Visible

Infrared mm

UV

wavelength

inte

nsit

y

dust

Both UV and IR are related to recent star formationThey are anti-correlated because of dust attenuation

IR selected objects are usually obscured with a low residual emission in UV

Conversely: we expect a UV selection to be dominated by IR faint sources

Only few words about the physical link between UV and IR emissions

Page 3: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

We perform a UV rest-frame selection in the COSMOS field @ z=1.5, 3 & 4

Based on photometric redshifts (Ilbert+13)Down to u, r, i ≈ 26 ABmag

Page 4: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

What do we find within HerMES/ SPIRE images?

Almost nothing…….

Z = 1.5

Page 5: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Stacking per bin of LFUV

LIR measured by fitting Dale & Helou (2002) templates on SPIRE data

AFUV = f(LIR/LFUV) (Buat+05) LIRGs and sub-LIRGs

Page 6: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Stacking per bin of M*(again on the UV selection)

Z=1.5Z=3Z=4

Page 7: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Stacking per bin of (LFUV,M*)

Dust attenuation increases with M* for a given LFUV

Dust attenuation decreases with LFUV for a given M*

The dispersion in dust attenuation decreases with LFUV

See also Burgarella+06, Buat+09,12

Page 8: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

A recipe to derive LIR/LFUV=IRXHeinis+13, very close to be submitted

IRX=log(LIR/LFUV)=IRX0(LFUV)+0.72*log(M*/1010.35)@z=1.5 & 3

Page 9: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

SFR versus M* : a well defined ‘Main Sequence’

for star-forming galaxies

SFR= SFR0 M*0.7

slope< 1

see also Noeske+07, Oliver+10, Whitaker+12

slope~1 found by Elbaz+07, Daddi+07, Wuyts+11

(from Kennicutt, 98)

Z=1.5Z=3Z=4

Page 10: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Specific SFR (sSFR=SFR/M*) : very active galaxies at z =3 & 4, a challenge for the models

sSFR(z,M*) high redshift galaxies (z~2.5-4) stay only around 1 Gyr on the Main Sequence, this time increasing with decreasing redshift

Page 11: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

What can we do with SPICA?• Herschel was unable to detect individual

galaxies selected in UV at z >= 1.5 (less than 1% of the galaxies directly detected)

Studies based on a stacking technics: average trends only, no or little dispersion measured

• We must increase the number of individual detections if we want to discuss the variety of physical properties of individual galaxies

Page 12: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Individual detections with SPICA?

Dale & Helou 02 templates

α=2

α=1.5

Assuming 50 µJy @ 70 µm

Page 13: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

How many galaxies in the COSMOS field?•z=1.5 9419 galaxies/deg2

•z=3 3162 galaxies/deg2

Assuming a Dale & Helou template with α = 2

As a function of LFUV

Page 14: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

How many galaxies could be detected in the COSMOS field?•z=1.5 9731 galaxies/deg2

•z=3 3493 galaxies/deg2

•z=4 952 galaxies/deg2

As a function of M*

Page 15: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Which template to measure LIR? What do we learn from

Herschel? Z=0Z=1.5

Ciesla+13, in prep.

Page 16: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

The determination of LIR with a single monochromatic measurement might lead to large uncertainties

Several bands might be very useful to constrain the SED

Still some work to be made to refine SEDs……

Ciesla+13, in preparation

Page 17: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Conclusions• To measure the dust emission of UV bright high

redshift galaxies is challenging• HERSCHEL was not able to detect them

individually at z ≥1.5• Deep photometric observations with SPICA @

λ≈70 μm will allow direct detections of several thousands of galaxies per deg2 also observed in optical (UV rest-frame)

• Coordinated deep surveys with SPICA instruments (SAFARI-MCS-FPF) would provide full SEDs of these galaxies, allowing physical analyses.

Page 18: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Stacking per bin of M*(again on the UV selection)

Page 19: Véronique  Buat  &  Sebastien Heinis With  the contribution of Laure  Ciesla

Stacking per bin of LFUV

LIR measured by fitting Dale & Helou (2002) templates on SPIRE data

AFUV = f(LIR/LFUV) (Buat+05) LIRGs and sub-LIRGs