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J. Roberts

5 papers hereh-index 7300 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 5 papers where every author was matched, so the position is known.

fields
  • hep-ph4
  • hep-th1
same name
  • J. Roberts — 12 papers, h 83
  • J. Roberts — 6 papers, h 10
  • J. Roberts — 5 papers, h 24
  • J. Roberts — 5 papers, h 16
  • J. Roberts — 4 papers, h 10
  • J. Roberts — 4 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062009
most citedGravitino Dark Matter and general neutralino NLSP

71 citations · 196 across the 4 of their papers we have counts for

collaborators
Showing hep-phShow all

4 papers · 1 filter

hep-ph2009★ 71 cited

Gravitino Dark Matter and general neutralino NLSP

Laura Covi, Jasper Hasenkamp, Stefan Pokorski +1

We study the scenario of gravitino DM with a general neutralino NLSP in a model independent way. We consider all neutralino decay channels and compare them with the most recent BBN…

hep-ph2007★ 21 cited

The Fine-Tuning Price of Neutralino Dark Matter in Models with Non-Universal Higgs Masses

John Ellis, S. F. King, J. P. Roberts

We study the amounts of fine-tuning of the parameters of the MSSM with non-universal soft supersymmetry-breaking contributions to the Higgs masses (the NUHM) that would be required…

hep-ph2007★ 68 cited

Natural Dark Matter in SUSY GUTs with Non-universal Gaugino Masses

S. F. King, J. P. Roberts, D. P. Roy

We consider neutralino dark matter within the framework of SUSY GUTs with non-universal gaugino masses. In particular we focus on the case of SU(5) with a SUSY breaking F-term in t…

hep-ph2006★ 36 cited

Natural Implementation of Neutralino Dark Matter

S. F. King, J. P. Roberts

The prediction of neutralino dark matter is generally regarded as one of the successes of the Minimal Supersymmetric Standard Model (MSSM). However the successful regions of parame…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.