Nuclear physicists seek an accurate description of the properties of atomic nuclei, collisions between nuclei, and extreme environments such as the first few seconds of our universe or the interior of a neutron star. These situations involve many particles interacting through complex forces. They’re each described by a number of different models: these typically do a good job of explaining the results of experiments that have already occurred. The models don’t do as well predicting what will happen in future experiments or in environments that are inaccessible here on Earth.
The Bayesian Analysis of Nuclear Dynamics (BAND) Framework will use advanced statistical methods to produce forecasts for as-yet-unexplored situations that combine nuclear-physics models in an optimal way. These will be more reliable than the predictions of any individual model. BAND’s forefront computer codes will be widely available and will facilitate the design of nuclear-physics experiments that can deliver the largest gain in understanding. The adoption of BAND’s tools in other sciences dealing with “model uncertainty” could spur broad scientific innovation. Undergraduate and graduate students working on BAND will gain a broad range of technical skills in data science, machine learning, nuclear physics, and high-performance computing.
Congratulations to BAND post-doc, Özge Sürer! She will be joining the faculty at Miami University. No, not that one, the one in Oxford. No, not that Oxford, the one in Ohio. Dr Sürer will be taking up a position as an Assistant Professor of Business Analytics in August.February 28, 2022
Multiple members of BAND participated in the NSF Project Scoping Workshop Towards Precise and Accurate Calculations of Neutrinoless Double Beta Decay. The workshop took place on January 31 and February 1 over Zoom, and involved statisticians, computer scientists, and physicists working on calculations of neutrinoless double beta decay of nuclei. It was organized by Jon Engel, from the University of North Carolina, together with BAND members Witek Nazarewicz and Daniel Phillips. A white paper summarizing the conclusions of the workshop is in preparation.January 26, 2022
We are very proud to anounce that two BAND team members, Taps Maiti and Filomena Nunes, were named 2021 Fellows of the American Association for the Advancement of Science. Congratulations on their distinguished contributions in statistics and nuclear physics -both foundation pillars of BAND-, as well as their continuous excellence and engagement in teaching the next generation of scientists!December 17, 2021
The Second Annual BAND camp was a lot of fun. We had 47 particpants, 21 of whom attended in person. Talk .pdfs can be downloaded here. Ozge Surer's excellent tutorial on BFRESCOX is available on github.December 7, 2021
Join the BAND team! The Ohio State University has a post-doc opening. The successful candidate will work effectively in an inter-disciplinary team to build a sustainable code base that can solve problems at the statistics-physics interface. The position will focus on Bayesian modeling and methodology development for mixing multiple physics simulation models of nuclear dynamics, and building scalable computational algorithms for inference, prediction and uncertainty quantification.November 30, 2021
The schedule for the Second Annual BAND Camp is now set! We are looking forward to pedagogical presentations on BAND research by Frederi Viens, Ozge Surer, and Jordan Melendez. BAND leader Daniel Phillips will preview BAND's "comming attractions". And we'll hear talks by recent Ph.D.s in this area who now work in the insurance industry.