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Observing the high redshift Universe with Euclid

Published online by Cambridge University Press:  08 May 2018

René Laureijs*
Affiliation:
European Space Agency, ESTEC, Keplerlaan 1 PO Box 299, NL-2200 AG, Noordwijk, the Netherlands email: [email protected]
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Abstract

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Euclid enables the exploration of large sky areas with diffraction limited resolution in the optical and near-infrared, and is sensitive enough to detect targets at cosmological distances. This combination of capabilities gives Euclid a clear advantage over telescope facilities with larger apertures, both on ground and in space. The decision to mount in the NISP instrument one extra grism for the wavelength range 0.92-1.3 μm with a spectral resolution of R ≈260 makes possible a rest-frame UV survey of the early Universe in the redshift range 6.5 < z < 9.7. Euclid’s standard imaging with VIS in the 0.55-0.9 μm band and with NISP in the Y, J, H bands provide complementary photometry for further target identification and characterization. Euclid is a suitable facility to discover and map the spatial distribution of rare high-redshift targets and to collect statistically relevant samples, in particular of high redshift Lyα emitters and QSOs, which can be used as signposts of the cosmic structures. The Euclid surveys are also a starting point for deeper follow up observations of the individual high-z objects. We present the Euclid mission and discuss the detectability of high-z objects to probe the epoch of ionization.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2018 

References

Bagley, M. B., Scarlata, C., Henry, A., et al. 2017, ApJ, 837, 11Google Scholar
Brinchmann, J. et al. 2018, NISP Blue Grism Science Definition Report, in preparationGoogle Scholar
Costille, A., Caillat, A., Rossin, C., et al. 2016, Proc. of SPIE, 9912, 99122CGoogle Scholar
Laureijs, R., Amiaux, J., Arduini, S. et al. 2011, ArXiv, 1110.3193Google Scholar
Marchetti, L., Serjeant, S., Vaccari, M., 2017, MNRAS, 470, 5007CrossRefGoogle Scholar
Racca, G. D., Laureijs, R., Stagnaro, L. et al. 2016, Proc. of SPIE, 9904, 99040OGoogle Scholar
Strandet, M. L., Weiss, A., De Breuck, C. et al. 2017, ApJ, 842, L15Google Scholar
Waters, D., Di Matteo, T., Feng, Y., Wilkins, S. M., Croft, R. A. C., et al. 2017, ApJ, 842, L15Google Scholar