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

We present global fits to the Large Volume Scenario (LVS) of string modelsusing current indirect data. We use WMAP5 constraints on dark matter relicdensity, b-physics and electroweak observables as well as direct searchconstraints. Such data can be adequately fit by LVS, with the best-fit pointfor mu>0 having chi^2=13.6 for 8 degrees of freedom. The resulting constraintson parameter space are robust in that they do not depend much upon the prior,or upon whether one uses Bayesian or frequentist interpretations of the data.Sparticle masses are constrained to be well below the 1 TeV level, predictingearly SUSY discovery at the LHC. We devise a method of quantifying which arethe most important constraints. We find that the LEP2 Higgs mass constraint,the relic density of dark matter and the anomalous magnetic moment of the muonaffect the fits to the strongest degree.

Global Fits of the Large Volume String Scenario to WMAP5 and Other Indirect Constraints Using Markov Chain Monte Carlo