English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Forthcoming projects such as DES, LSST, WFIRST, and Euclid aim to measureweak lensing shear correlations with unprecedented precision, constraining thedark energy equation of state at the percent level. Reliance onphotometrically-determined redshifts constitutes a major source of uncertaintyfor these surveys. Additionally, interpreting the weak lensing signal requiresa detailed understanding of the nonlinear physics of gravitational collapse. Wepresent a new analysis of the stringent calibration requirements for weaklensing analyses of future imaging surveys that addresses both photo-zuncertainty and errors in the calibration of the matter power spectrum. We findthat when photo-z uncertainty is taken into account the requirements on thelevel of precision in the prediction for the matter power spectrum are morestringent than previously thought. Including degree-scale galaxy clusteringstatistics in a joint analysis with weak lensing not only strengthens thesurvey's constraining power by ~20%, but can also have a profound impact on thecalibration demands, decreasing the degradation in dark energy constraints withmatter power spectrum uncertainty by a factor of 2-5. Similarly, using galaxyclustering information significantly relaxes the demands on photo-zcalibration. We compare these calibration requirements to the contemporarystate-of-the-art in photometric redshift estimation and predictions of thepower spectrum and suggest strategies to utilize forthcoming data optimally.

General Requirements on Matter Power Spectrum Predictions for Cosmology with Weak Lensing Tomography