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Gilad Perez

4 papers hereh-index 2466 citations13 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • hep-ph4
same name
  • Gilad Perez — 6 papers, h 3
  • Gilad Perez — 3 papers, h 2
  • Gilad Perez — 3 papers, h 2
  • Gilad Perez — 2 papers, h 1
  • Gilad Perez — 2 papers, h 2
  • Gilad Perez — 1 paper

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
20182026
most citedLong-Lived Particles at the Energy Frontier: The MATHUSLA Physics Case

385 citations · 404 across the 4 of their papers we have counts for

collaborators

4 papers

hep-ph2026

Imperfect axions with no domain wall problem

Marco Gorghetto, Edward Hardy, Gilad Perez +1

Post-inflationary axion theories with domain wall number N>1 suffer from a domain wall problem. We show analytically, and confirm via simulations, that there is a region of pheno…

hep-ph2023

A Generic Formation Mechanism of Ultralight Dark Matter Solar Halos

Dmitry Budker, Joshua Eby, Marco Gorghetto +2

As-yet undiscovered light bosons may constitute all or part of the dark matter (DM) of our Universe, and are expected to have (weak) self-interactions. We show that the quartic sel…

hep-ph2022★ 19 cited

From axion quality and naturalness problems to a high-quality ZN​ QCD relaxion

Abhishek Banerjee, Joshua Eby, Gilad Perez

We highlight general issues associated with quality and naturalness problems in theories of light QCD-axions, axion-like particles, and relaxions. We show the presence of Planck-su…

hep-ph2018★ 385 cited

Long-Lived Particles at the Energy Frontier: The MATHUSLA Physics Case

David Curtin, Marco Drewes, Matthew McCullough +85

We examine the theoretical motivations for long-lived particle (LLP) signals at the LHC in a comprehensive survey of Standard Model (SM) extensions. LLPs are a common prediction of…

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