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Nathaniel Craig

Nathaniel Craig

· Professor

University of California, Santa Barbara · Physics

Active 1989–2026

h-index50
Citations9.0k
Papers22774 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Nathaniel Craig is a Professor at the Department of Physics at UC Santa Barbara, specializing in High Energy Physics, Particle Phenomenology, and Cosmology. His research focuses on theoretical aspects of fundamental particles and their interactions, exploring the underlying principles that govern the universe at the smallest scales. As a faculty member, he contributes to advancing the understanding of particle physics beyond the Standard Model, addressing key questions in cosmology and high energy theory.

Research topics

  • Particle physics
  • Physics
  • Computer Science
  • Nuclear physics
  • Political Science
  • Artificial Intelligence
  • Applied mathematics
  • Mathematics
  • Database
  • Theoretical physics

Selected publications

  • Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider

    Journal of Physics G Nuclear and Particle Physics · 2020 · 153 citations

    Particles beyond the Standard Model (SM) can generically have lifetimes that are long compared to SM particles at the weak scale. When produced at experiments such as the Large Hadron Collider (LHC) at CERN, these long-lived particles (LLPs) can decay far from the interaction vertex of the primary proton–proton collision. Such LLP signatures are distinct from those of promptly decaying particles that are targeted by the majority of searches for new physics at the LHC, often requiring customized…

  • The muon Smasher's guide

    Reports on Progress in Physics · 2022 · 151 citations

    We lay out a comprehensive physics case for a future high-energy muon collider, exploring a range of collision energies (from 1 to 100 TeV) and luminosities. We highlight the advantages of such a collider over proposed alternatives. We show how one can leverage both the point-like nature of the muons themselves as well as the cloud of electroweak radiation that surrounds the beam to blur the dichotomy between energy and precision in the search for new physics. The physics case is buttressed by a…

  • Is SMEFT enough?

    Journal of High Energy Physics · 2023 · 96 citations

    There are two canonical approaches to treating the Standard Model as an Effective Field Theory (EFT): Standard Model EFT (SMEFT), expressed in the electroweak symmetric phase utilizing the Higgs doublet, and Higgs EFT (HEFT), expressed in the broken phase utilizing the physical Higgs boson and an independent set of Goldstone bosons. HEFT encompasses SMEFT, so understanding whether SMEFT is sufficient motivates identifying UV theories that <em>require</em> HEFT as their low energy limit. This dis…

  • No νs is Good News

    Journal of High Energy Physics · 2024-09-17 · 84 citations

    articleOpen access1st authorCorresponding

    A bstract The baryon acoustic oscillation (BAO) analysis from the first year of data from the Dark Energy Spectroscopic Instrument (DESI), when combined with data from the cosmic microwave background (CMB), has placed an upper-limit on the sum of neutrino masses, ∑ m ν &lt; 70 meV (95%). In addition to excluding the minimum sum associated with the inverted hierarchy, the posterior is peaked at ∑ m ν = 0 and is close to excluding even the minumum sum, 58 meV at 2 σ . In this paper, we explore the…

  • Muon Collider Forum report

    Journal of Instrumentation · 2024-02-01 · 59 citations

    articleOpen access

    Abstract A multi-TeV muon collider offers a spectacular opportunity in the direct exploration of the energy frontier. Offering a combination of unprecedented energy collisions in a comparatively clean leptonic environment, a high energy muon collider has the unique potential to provide both precision measurements and the highest energy reach in one machine that cannot be paralleled by any currently available technology. The topic generated a lot of excitement in Snowmass meetings and continues t…

Frequent coauthors

  • Kyoungchul Kong

    University of Kansas

    40 shared
  • Patrick Draper

    39 shared
  • Zhen Liu

    Nanjing University

    35 shared
  • Dave Sutherland

    University of Glasgow

    32 shared
  • D. Whiteson

    31 shared
  • Timothy Cohen

    University of Oregon

    30 shared
  • Tao Han

    Shanghai Artificial Intelligence Laboratory

    29 shared
  • Alfredo Glioti

    Centre National de la Recherche Scientifique

    26 shared

Labs

Education

  • Ph.D, Physics

    Stanford University

    2010
  • A.B., Physics

    Harvard University

    2005

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