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Mini-workshop on lattice gauge theory and related topics for high-energy physics

14 May 2025
NYCU Beimen campus
Asia/Taipei timezone

C.-J. David Lin

Contribution List

8 out of 8 displayed
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  1. 7. Opening
    Prof. C.-J. David Lin (National Yang Ming Chiao Tung University)
    14/05/2025, 09:30
  2. 8. Machine Learning for Parton Distribution Functions
    Prof. Luigi Del Debbio (University of Edinburgh)
    14/05/2025, 09:45

    The NNPDF collaboration has been using Machine Learning techniques to solve the inverse problem of extracting Parton Distribution Functions from finite sets of experimental data for almost two decades. With the increased precision of the LHC measurements, It has become mandatory to understand the robustness of the error bars and of the correlations in the results of PDFs fit. We review the...

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  3. 9. TMD soft function on the lattice using complex directional Wilson lines
    Dr Wayne Morris (National Yang Ming Chiao Tung University)
    14/05/2025, 11:00
  4. 10. Tackling the Signal to Noise problem with Stochastic Automatic Differentiation
    Dr Guilherme Catumba (University of Milano)
    14/05/2025, 11:45

    Lattice field theory computations of two-point functions are generally
    affected by the so called signal to noise problem, wherein the signal
    of the Euclidean time correlator decays faster than the variance. In
    this talk we propose a different perspective on the origin of this
    problem. Following this, we argue that by writing correlators as
    derivatives with respect to sources and...

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  5. 11. Flow-based Sampling for Lattice Field Theory (I)
    Prof. Miranda C.N. Cheng (Academia Sinica and University of Amsterdam)
    14/05/2025, 14:00
  6. 12. Flow-based Sampling for Lattice Field Theory (II)
    Mr Mathis Gerdes (University of Amsterdam)
    14/05/2025, 14:45
  7. 13. Universality in Gauge Theories and Asymptotic Scaling
    Prof. Alberto Ramos (University of Valencia)
    14/05/2025, 16:00
  8. 14. Discussion
    14/05/2025, 16:45