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Title:
Photometric redshifts for weak lensing tomography from space: the role of optical and near infrared photometry
Authors:
Abdalla, F. B.; Amara, A.; Capak, P.; Cypriano, E. S.; Lahav, O.; Rhodes, J.
Affiliation:
AA(Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT), AB(Service dÁstrophysique, CEA Saclay, 91191 Gif sur Yvette, France), AC(California Institute of Technology, 1201 E California Blvd., Pasadena, CA 91125, USA), AD(Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT), AE(Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT), AF(California Institute of Technology, 1201 E California Blvd., Pasadena, CA 91125, USA; Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, USA)
Publication:
Monthly Notices of the Royal Astronomical Society, Volume 387, Issue 3, pp. 969-986. (MNRAS Homepage)
Publication Date:
07/2008
Origin:
MNRAS
MNRAS Keywords:
methods: statistical , galaxies: distances and redshifts , cosmology: observations
DOI:
10.1111/j.1365-2966.2008.13151.x
Bibliographic Code:
2008MNRAS.387..969A

Abstract

We study in detail the photometric redshift requirements needed for tomographic weak gravitational lensing in order to measure accurately the dark energy equation of state. In particular, we examine how ground-based photometry (u, g, r, i, z, y) can be complemented by space-based near-infrared (near-IR) photometry (J, H), e.g. onboard the planned DUNE satellite. Using realistic photometric redshift simulations and an artificial neural network photo-z method we evaluate the figure of merit for the dark energy parameters (w0, wa). We consider a DUNE-like broad optical filter supplemented with ground-based multiband optical data from surveys like the Dark Energy Survey, Pan-STARRS and LSST. We show that the dark energy figure of merit would be improved by a factor of 1.3-1.7 if IR filters are added onboard DUNE. Furthermore we show that with IR data catastrophic photo-z outliers can be removed effectively. There is an interplay between the choice of filters, the magnitude limits and the removal of outliers. We draw attention to the dependence of the results on the galaxy formation scenarios encoded into the mock galaxies, e.g. the galaxy reddening. For example, very deep u-band data could be as effective as the IR. We also find that about 105-106 spectroscopic redshifts are needed for calibration of the full survey.
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