Zum Hauptinhalt springen

Uncertainty Quantification (UQ) at the Extremes (ISNET-6)

Europe/Berlin
Seminarraum 18 Building S3|20 (TU Darmstadt)

Seminarraum 18 Building S3|20

TU Darmstadt

Rundeturmstrasse 10 Darmstadt
Daniel Phillips (Ohio University), David Ireland (University of Glasgow), Dick Furnstahl (Ohio State University), Ian Vernon (Durham University)
Beschreibung

This is the sixth meeting in the ISNET (Information and statistics in nuclear experiment and theory) series.  The aim of this series of workshops - involving the broad nuclear physics community, together with applied mathematics, statistics and computer science - is to discuss the use of applied mathematics, information theory and statistics in the analysis of experiments, and within the context of theoretical models that are dealing with current and future experimental data.

Goals

  • Facilitate cross communication, fertilization, and collaboration on statistical applications among the nuclear sub-fields.
  • Provide the opportunity for nuclear physicists unfamiliar with Bayesian methods to start applying them to new problems.
  • Learn from experts about innovative and advanced uses of Bayesian statistics, and best practices in applying them.
  • Learn about advanced computational tools and methods.
  • Critically examine the application of Bayesian and frequentist methods to particular physics problems in the subfields.
Poster
Travel information
    • 18:00
      Welcome Reception
    • 1
      Welcome
      Sprecher: Daniel Phillips (Ohio)
    • 2
      An introduction to Bayesian methods for physicists
      Sprecher: Dick Furnstahl
      Slides
    • 3
      Global sensitivity analysis for complex models
      Sprecher: Jeremy Oakley (Sheffield)
      Slides
    • 10:40
      Coffee
    • 4
      EMMI
      Sprecher: Carlo Ewerz (GSI, Darmstadt)
    • 5
      Examining the Origin of the r-process Rare-Earth Abundance Peak with Markov Chain Monte Carlo
      Sprecher: Nicole Vaash (Notre Dame)
      Slides
    • 6
      Nucleosynthesis in neutrino-driven supernova ejecta: astrophysical and nuclear physics uncertainties
      Sprecher: Julia Bliss
      Slides
    • 12:25
      Lunch
    • 7
      Capturing uncertainty about model inputs using expert elicitation
      Sprecher: John-Paul Gosling (Leeds)
      Slides
    • 8
      Dynamical modeling of heavy-ion reactions
      Sprecher: Hannah Elfner (Frankfurt)
      Slides
    • 9
      Using Model Emulators for An Inverse Problem
      Sprecher: Scott Pratt (Michigan State University)
      Slides
    • 10
      Uncertainty quantification for the three-nucleon force with light-ion reactions
      Sprecher: Kostas Krawaris (Florida State / Lawrence Livermore National Lab)
      Slides
    • 15:55
      Coffee
    • 11
      Uncertainty estimates from R-matrix analyses
      Sprecher: Richard deBoer (Notre Dame)
      Slides
    • 12
      A new bootstrap-based fitting method
      Sprecher: Paolo Pedroni (Pavia)
      Slides
    • Discussion: Tuesday
    • There are no stupid questions
    • 13
      Optimization problems in nuclear theory
      Sprecher: Stefan Wild (Argonne Nat. lab.)
      Slides
    • 14
      Optimization and parameter reduction in nuclear EDFs
      Sprecher: Tamara Niksic (Zagreb)
      Slides
    • 10:40
      Coffee
    • 15
      Bayesian parameter estimation in NN scattering
      Sprecher: Sarah Wesolowski (Salisbury)
      Slides
    • 16
      Bayesian parameter estimation and model evidence for nuclear EFT
      Sprecher: Christian Forssén (Chalmers)
      Slides
    • 12:20
      Lunch
    • 17
      Using Bayesian approaches to design new expensive experiments
      Sprecher: Ian Vernon
      Slides
    • 18
      Compton scattering observables, errors, and goals
      Sprecher: Harald Grießhammer (George Washington)
      Slides
    • 19
      Statistical methods for Parton Distribution Functions
      Sprecher: Emmanuele Nocera (Edinburgh / NIKHEF)
      Slides
    • 15:50
      Coffee
    • 20
      Uncertainty estimates for nuclear matter and neutron-rich nuclei
      Sprecher: Achim Schwenk (TU Darmstadt)
      Slides
    • 21
      Observables probing the nuclear pairing functional
      Sprecher: P.-G. Reinhard (Erlangen)
      Slides
    • Discussion: Wednesday
    • There are no stupid questions
    • 22
      Approximate Bayesian computation for expensive simulators
      Sprecher: Richard Wilkinson (Sheffield)
      Slides
    • 23
      Bayesian optimization of the NN interaction
      Sprecher: Andreas Ekström (Chalmers University of Technology)
      Slides
    • 24
      Global fits and Bayesian inference in "Beyond the Standard Model" physics
      Sprecher: Ben Farmer (Imperial College, London)
      Slides
    • 10:50
      Coffee
    • 25
      Model selection for the spectrum of light baryons
      Sprecher: Michael Döring (Geprge Washington)
      Slides
    • 26
      A statistical study of the transition from isolated resonances to the continuum
      Sprecher: Carl Brune (Ohio)
      Slides
    • 12:20
      Lunch
    • 27
      Computer model calibration, emulation, and discrepancy analysis
      Sprecher: Michael Grosskopf (Los Amalos National Lab)
      Slides
    • 28
      Quantifying Errors from Chiral Effective Field Theory
      Sprecher: Jordan Melendez (Ohio State)
    • 29
      Nuclear structure corrections in muonic atoms: Quantifying theoretical uncertainties
      Sprecher: Javier Hernandez (Victoria / Mainz)
      Slides
    • 30
      Gaussian Processes and Expected Improvement for Fitting Nuclear Models
      Sprecher: Matthew Shelley (New York)
      Slides
    • 15:55
      Coffee
    • 31
      Uncertainty in nuclear-reaction calculations involving halo nuclei
      Sprecher: Pierre Capel (Brussels / Mainz)
      Slides
    • 32
      Quantifying errors in EFTs of heavy nuclei
      Sprecher: Toño Coello Perez (TU Darmstadt)
      Slides
    • Discussion: Thursday
    • 19:00
      Conference Dinner
    • 33
      Model-based extrapolation of nuclear observables via Bayesian machine learning
      Sprecher: Léo Neufcourt
      Slides
    • 34
      Extrapolations with Bayesian machine learning
      Sprecher: Witek Nazarewicz (Michigan State)
      Slides
    • 35
      Bayesian Model Mixing: A Nuclear Physics Perspective
      Sprecher: Vojtech Kejzlar (Michigan State University)
      Slides
    • 10:45
      Coffee
    • 36
      Nucleon axial form factor from a Bayesian neural-network analysis of neutrino-scattering data
      Sprecher: Krzysztof Graczyk (Wroclaw)
      Slides
    • 37
      Machine Learning and Precision Analysis at GlueX
      Sprecher: Daniel Lersch (Florida State)
      Slides
    • Discussion: Friday