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Eriksen M.B.,Leiden University | Gaztanaga E.,Institute Of Ciencies Of Lespai Ice Ieec Csic
Proceedings of the International Astronomical Union | Year: 2015

Does photometric and spectroscopic survey benefit from overlapping areas? The photometric survey measures 2D Weak Lensing (WL) information from galaxy shape distortions. On the other hand, the higher redshift precision of an spectroscopic survey allows measurements of redshift space distortions (RSD) and baryonic accustic oscillations (BAO) from 3D galaxy counts. The two surveys are combined using 2D-correlations, using sufficiently narrow bins to capture the radial information. This poster present effects of RSD and intrinsic correlations between narrow redshift bins. In understanding how the effects affects cosmological constrains, we first define two stage-IV and then present forecast for various configurations. When surveys overlap, they benefit from additional cross-correlations and sample variance cancellations from overlapping volumes. For a combined dark energy and growth history figure of merit, the result increase 50% for overlapping surveys, corresponding to 30% larger area. © International Astronomical Union 2015. Source


Fabra F.,Institute Of Ciencies Of Lespai Ice Ieec Csic | Cardellach E.,Institute Of Ciencies Of Lespai Ice Ieec Csic | Nogues-Correig O.,Institute Of Ciencies Of Lespai Ice Ieec Csic | Oliveras S.,Institute Of Ciencies Of Lespai Ice Ieec Csic | And 7 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2010

GPS reflected signals have become a source of opportunity for remote sensing of the Earth's suface. In this work, we present several capabilities of this technique in two different polar environments: Greenland and Antarctica. The first part is dedicated to the retrieval of sea-ice properties, giving emphasis to the study of the coherent phase for altimetric and roughness estimations, and polarimetric measurements for the determination of the ice salinity variation. The results show good agreement with a tide model and daily ice charts. On the second part, some preliminary results and analysis strategies to retrieve dry snow signatures are presented. © 2010 IEEE. Source


Fabra F.,Institute Of Ciencies Of Lespai Ice Ieec Csic | Cardellach E.,Institute Of Ciencies Of Lespai Ice Ieec Csic | Nogues-Correig O.,Institute Of Ciencies Of Lespai Ice Ieec Csic | Oliveras S.,Institute Of Ciencies Of Lespai Ice Ieec Csic | And 5 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2011

We present in this paper an empirical approach for the characterization of the internal layering of dry snow masses by means of GNSS-R. A forward model has been designed for reconstructing reflected waveforms given a dry snow profile and geometry (elevation and elevation-rate), as a sum of multiple responses from different layers. To extract the internal information, Fourier transforms of time series of waveforms are computed to generate lag-holograms. The frequency stripes that appear are related to the depths of the contributing snow layers. The same analysis has been done with real data, showing with agreement with the models. © 2011 IEEE. Source

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