U
Uroš Seljak
Researcher at University of California, Berkeley
Publications - 91
Citations - 8328
Uroš Seljak is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Galaxy & Redshift. The author has an hindex of 46, co-authored 91 publications receiving 7432 citations. Previous affiliations of Uroš Seljak include Princeton University & University of Zurich.
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Journal ArticleDOI
Constraints on local primordial non-Gaussianity from large scale structure
Anže Slosar,Anže Slosar,Christopher M. Hirata,Uroš Seljak,Uroš Seljak,Shirley Ho,Nikhil Padmanabhan +6 more
TL;DR: In this article, the authors used the extended Press-Schechter formalism to show that the scale dependent bias of fNL will depend on other properties, such as the merging history of halos.
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The Shear TEsting Programme 2: Factors affecting high precision weak lensing analyses
Richard Massey,Catherine Heymans,Joel Bergé,Gary Bernstein,Sarah Bridle,Douglas Clowe,Håkon Dahle,Richard S. Ellis,Thomas Erben,M. Hetterscheidt,F. William High,F. William High,Christopher M. Hirata,Henk Hoekstra,P. Hudelot,Mike Jarvis,David Johnston,Konrad Kuijken,Vera Margoniner,Rachel Mandelbaum,Yannick Mellier,Reiko Nakajima,Stephane Paulin-Henriksson,Molly S. Peeples,Molly S. Peeples,Chris Roat,Alexandre Refregier,Jason Rhodes,Jason Rhodes,Tim Schrabback,Mischa Schirmer,Uroš Seljak,Elisabetta Semboloni,Elisabetta Semboloni,Ludovic Van Waerbeke +34 more
TL;DR: In this paper, the authors present a review of current and emerging shear-measurement methods in a common language, and assess their performance by running them (blindly) on simulated images that contain a known shear signal.
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Extracting primordial Non-Gaussianity without cosmic variance.
TL;DR: This work proposes an alternative method based on the fact that on large scales, halos are linearly biased, but not stochastic, tracers of dark matter: by correlating a highly biased tracer of large scale structure against an unbiased tracer, one eliminates the cosmic variance error.
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Shear calibration biases in weak-lensing surveys
TL;DR: In this article, the authors investigate biases induced by the conversion between the observed image shape and shear distortion in current weak-lensing analysis methods and find that the non-Gaussianity of the point spread function has a significant effect and can lead to an error of up to 15 per cent on the linear amplitude of fluctuations σ 8, depending on the method of analysis.
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Systematic errors in weak lensing: application to SDSS galaxy-galaxy weak lensing
Rachel Mandelbaum,Christopher M. Hirata,Uroš Seljak,Uroš Seljak,Jacek Guzik,Jacek Guzik,Nikhil Padmanabhan,Cullen H. Blake,Michael R. Blanton,Robert H. Lupton,Jonathan Brinkmann +10 more
TL;DR: In this article, a geometric test for weak lensing signal-to-noise ratio at the 1 per cent level is proposed to constrain shear calibration biases and other systematics in the SDSS survey data.