activity
20192022
most citedThe LHC higgsino discovery plane for present and future SUSY searches

25 citations · 52 across the 5 of their papers we have counts for

collaborators

9 papers

hep-ph2022

Report of the Topical Group on Physics Beyond the Standard Model at Energy Frontier for Snowmass 2021

Tulika Bose, Antonio Boveia, Caterina Doglioni +318

This is the Snowmass2021 Energy Frontier (EF) Beyond the Standard Model (BSM) report. It combines the EF topical group reports of EF08 (Model-specific explorations), EF09 (More gen…

hep-ph20223 cited

TF08 Snowmass Report: BSM Model Building

Patrick J. Fox, Graham D. Kribs, Hitoshi Murayama +53

We summarize the state of Beyond the Standard Model (BSM) model building in particle physics for Snowmass 2021, focusing mainly on several whitepaper contributions to BSM model bui…

hep-ph20221 cited

Mini-review: Expectations for supersymmetry from the string landscape

Howard Baer, Vernon Barger, Shadman Salam +1

In this mini-review, we summarize a variety of findings pertaining to consequences of the landscape of string theory for supersymmetry (SUSY) phenomenology. The idea is to adopt th…

hep-ph20209 cited

Landscape Higgs and sparticle mass predictions from a logarithmic soft term distribution

Howard Baer, Vernon Barger, Shadman Salam +1

Recent work on calculating string theory landscape statistical predictions for the Higgs and sparticle mass spectrum from an assumed power-law soft term distribution yields an expe…

hep-ph202025 cited

The LHC higgsino discovery plane for present and future SUSY searches

Howard Baer, Vernon Barger, Shadman Salam +2

Considerations from electroweak naturalness and stringy naturalness imply a little hierarchy in supersymmetric models where the superpotential higgsino mass parameter mu is of orde…

hep-ph2020

A string landscape guide to soft SUSY breaking terms

Howard Baer, Vernon Barger, Shadman Salam +1

We examine several issues pertaining to statistical predictivity of the string theory landscape for weak scale supersymmetry (SUSY). We work within a predictive landscape wherein s…