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Information and Statistics for Nuclear Experiment and Theory workshop (ISNET-9)

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Washington University in St. Louis

Washington University in St. Louis

1 Brookings Dr, St. Louis, MO 63130
Description

The next international meeting on Information and Statistics in Nuclear Experiment and Theory (ISNET-9), organized by the Department of Physics at Washington University in St. Louis, will take place May 22-26, 2023 in St. Louis, Missouri. 

The mission of the ISNET community is to encourage, facilitate and develop the use of statistical and computational methodologies to enable nuclear physics to reach more quantitatively rigorous scientific conclusions. We do this by combining domain knowledge from the broad nuclear physics community with expertise in related fields of research, such as statistics, mathematics and computer science.

For 2023, ISNET-9 will be a hybrid meeting. Talks will be delivered on-site, but sessions will also be broadcast via Zoom for remote participants. Talks will take place beginning Tuesday morning the 23rd and continue through the morning of Friday the 26th

On Monday, May 22nd, we will also host the third annual BAND Camp. BAND Camp is a one-day set of pedagogical presentations organized by the Bayesian Analysis of Nuclear Dynamics collaboration (https://bandframework.github.io). Talks will be geared towards students and postdocs, and aim to provide an introduction to the software tools developed by BAND and to the corresponding concepts and methods of Bayesian uncertainty quantification. This year BAND is accepting 40 participants for an in-person camp; registrations will be accepted until that capacity is exhausted. 

On Wednesday, May 24th, we will hold a one-day machine learning symposium in honor of John Clark (Wayman Crow Professor Emeritus of Physics at WashU) to recognize his pioneering work in neural networks.

There are no conference fees for ISNET-9. A welcome reception is planned for Monday, a dinner is planned for Wednesday evening, and a poster session is planned for Thursday afternoon.

Topics:

  • Statistical methods for optimization and data analysis
  • Bayesian inference
  • Uncertainty quantification
  • Machine learning
  • Emulators
  • Resampling techniques
  • Accelerator design

 

Local Organizing Committee:

 

This conference is supported by the McDonnell Center for the Space Sciences, the Department of Physics, and the School of Arts & Sciences at Washington University in St. Louis. BAND Camp is supported by the BAND collaboration.

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