International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Observatory at 100 and 160 mu m to directly image the thermal dust emission and investigate the infrared luminosities (L-IR) and dust obscuration of typical star-forming (L*) galaxies at high redshift. Our sample consists of 146 UV-selected galaxies with spectroscopic redshifts 1.5 \textless= z(spec) \textless 2.6 in the GOODS-North field. Supplemented with deep Very Large Array and Spitzer imaging, we construct median stacks at the positions of these galaxies at 24, 100, and 160 mu m, and 1.4 GHz. The comparison between these stacked fluxes and a variety of dust templates and calibrations implies that typical star-forming galaxies with UV lumino...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
28We use deep panchromatic data sets in the GOODS-N field, from GALEX to the deepest Herschel far-in...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Obse...
International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Obse...
International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Obse...
International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Obse...
We take advantage of the sensitivity and resolution of Herschel at 100 and 160 micron to directly im...
We take advantage of the sensitivity and resolution of the Herschel Space Observatory at 100 and 160...
We take advantage of the sensitivity and resolution of the Herschel Space Observatory at 100 and 160...
We take advantage of the sensitivity and resolution of the Herschel Space Observatory at 100 and 160...
International audienceContext. Dust attenuation in galaxies is poorly known, especially at high reds...
International audienceContext. Dust attenuation in galaxies is poorly known, especially at high reds...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
28We use deep panchromatic data sets in the GOODS-N field, from GALEX to the deepest Herschel far-in...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Obse...
International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Obse...
International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Obse...
International audienceWe take advantage of the sensitivity and resolution of the Herschel Space Obse...
We take advantage of the sensitivity and resolution of Herschel at 100 and 160 micron to directly im...
We take advantage of the sensitivity and resolution of the Herschel Space Observatory at 100 and 160...
We take advantage of the sensitivity and resolution of the Herschel Space Observatory at 100 and 160...
We take advantage of the sensitivity and resolution of the Herschel Space Observatory at 100 and 160...
International audienceContext. Dust attenuation in galaxies is poorly known, especially at high reds...
International audienceContext. Dust attenuation in galaxies is poorly known, especially at high reds...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...
28We use deep panchromatic data sets in the GOODS-N field, from GALEX to the deepest Herschel far-in...
International audienceWe use deep panchromatic data sets in the GOODS-N field, from GALEX to the dee...