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Nova · Professor Researcher · re-ranking top 20…

Jennifer Kahn

· Lecturer – Continuing Lecturer

University of California, Berkeley · Journalism

Active 1936–2024

h-index63
Citations22.5k
Papers37547 last 5y
Funding$900k
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Research topics

  • Computer Science
  • Computational physics
  • Statistical physics
  • Statistics
  • Physics
  • Geometry
  • Mechanics
  • Mathematics

Selected publications

  • Effect of atmospheric turbulence on timing instability for partially reciprocal two-way optical time transfer links

    Physical review. A/Physical review, A · 2020 · 17 citations

    Senior authorCorresponding
    • Computer Science
    • Physics
    • Statistical physics

    In this paper we analyze the limits of optical time transfer through atmospheric turbulence and relate those predictions to timing uncertainty analysis using the Allan timing variance (TVAR). The power spectrum of timing uncertainty due to atmospheric turbulence is expressed with the help of Taylor's frozen flow hypothesis, identifying a ${f}^{\ensuremath{-}8/3}$ and ${f}^{\ensuremath{-}2/3}$ power-law behavior for uncorrelated and partially correlated turbulence, respectively. The scaling of each power law is related to the geometry of the link and the turbulence profile. The power-law slopes are used to calculate two TVAR scaling coefficients relevant to turbulence timing noise, ${c}_{5/3}$ and ${c}_{\ensuremath{-}1/3}$, which can be applied to time-transfer analysis of timing data affected by turbulent fluctuations. Examples of a 2-km horizontal partially overlapping two-way link estimate the atmospheric contribution to timing fluctuations to be below $10\phantom{\rule{4pt}{0ex}}\mathrm{fs}$, while a two-way link to a medium-Earth-orbit satellite experiences timing fluctuations on the order of $2\phantom{\rule{4pt}{0ex}}\mathrm{fs}$. Comparison of turbulence theory to a recent two-way optical time transfer experiment shows good agreement with the expected power-law behavior and scaling factors.

Recent grants

Frequent coauthors

  • Keang-Po Ho

    Apple (United States)

    39 shared
  • Sercan Ö. Arık

    26 shared
  • Aniceto Belmonte

    Universitat Politècnica de Catalunya

    24 shared
  • Ezra Ip

    Stanford University

    21 shared
  • Karthik Choutagunta

    17 shared
  • Xiaoming Zhu

    Sinopec (China)

    16 shared
  • Darli A. A. Mello

    15 shared
  • Jose Krause Perin

    Stanford University

    15 shared

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