Properties of high redshift galaxies from 24 μm images Paola Santini Università di Roma “La...
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Transcript of Properties of high redshift galaxies from 24 μm images Paola Santini Università di Roma “La...
Properties of high redshift galaxies from 24 μm images
Paola Santini
Università di Roma “La Sapienza”
Osservatorio Astronomico di Roma
Scuola nazionale di Astrofisica - IX ciclo - Maracalagonis 20 – 26 maggio 2007
Collaborators: Adriano Fontana, Cristian De Santis, Stefano Gallozzi, Emanuele Giallongo, Andrea Grazian, Nicola Menci, Laura Pentericci, Sara Salimbeni
The GOODS-MUSIC sample
14847 objects both z (9862) and Ks (2931) selectedPhotometry from 0.3 to 8.0 µm (14 bands):U35 U38 (MPG/ESO-WFI)U VIMOS (VLT) B V i z (HST-ACS)J H Ks (VLT-ISAAC)3.6 4.5 5.8 8.0 µm (Spitzer-IRAC) +1068 spectra from K20, GOODSV1, CXO, VVDS, COMBO17
~ 135 arcmin2
CDF-South
Great Observatories Origins Deep Survey-MUltiwevelength Southern Infra-red Catalog (Grazian et al. 2006, A&A, 419,
915G)
928 galaxies (668 secure identifications)(428 galaxies with finer classification) 72 stars, 68 AGNs
PSF-matching method to detect objects exploiting higher resolution images and the GOODS-MUSIC
catalog
MIPS 24 µm data (Spitzer)
Pixel size=1.2’’
PSF~5.16’’
Fitting the SEDs
Polletta (2006)
Early type
Normal star forming
Starbursts
AGNs
The colour cut ((U-V)Johnson~0.6) is based on the bimodality observed in the (U-V) vs B relation (Salimbeni et al., in preparation)
24 μm data can select a sample of early type galaxies
Early type
Normal star forming
Starbursts
AGNs
Stellar mass – spectral type
Early type
Normal star forming
Starbursts
AGNs
The stellar masses are consistent with the fitted spectral type
/)( tetSFR
t/τ – spectral type
Early type
Normal star forming
Starbursts
AGNs
t/τ - mag24μm
Early type
Normal star forming
Starbursts
AGNs
Conclusions and future work
We have found two independent ways to select a sample of early type galaxies at high z combining LIR and (U-V)RF
from t/τ
Stellar masses are consistent with the spectral classification.
The aim of this work is to study the evolutionary trend between different populations number density
Finally we will compare our results with theoretical models predictions