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

The requirement that SUSY should solve the hierarchy problem without unduefine-tuning imposes severe constraints on the new supersymmetric states. Withthe MSSM spectrum and soft SUSY breaking originating from universal scalar andgaugino masses at the Grand Unification scale, we show that the low-fine-tunedregions fall into two classes that will require complementary collider and darkmatter searches to explore in the near future. The first class has relativelylight gluinos or squarks which should be found by the LHC in its first run. Weidentify the multijet plus E_T^miss signal as the optimal channel and determinethe discovery potential in the first run. The second class has heavier gluinosand squarks but the LSP has a significant Higgsino component and should be seenby the next generation of direct dark matter detection experiments. Thecombined information from the 7 TeV LHC run and the next generation of directdetection experiments can test almost all of the CMSSM parameter spaceconsistent with dark matter and EW constraints, corresponding to a fine-tuningnot worse than 1:100. To cover the complete low-fine-tuned region by SUSYsearches at the LHC will require running at the full 14 TeV CM energy; inaddition it may be tested indirectly by Higgs searches covering the mass rangebelow 120 GeV.

Fine-tuning implications for complementary dark matter and LHC SUSY searches