November 19, 2022
BAND member Witek Nazarewicz and his 17 co-authors have just published a Reviews of Modern Physics Colloquium on Machine Learning in Nuclear Physics. You can also read a nice summary of their paper in this phys.org piece.
November 5, 2022
Five BAND members–co-PI, Özge Sürer, post-docs Pablo Giuliani and Daniel Odell, graduate student Dan Liyanage, and BAND leader Daniel Phillips–gave presentations at the recently concluded 2022 Fall Meeting of the Division of Nuclear Physics of the American Physical Society. You can check out what they all said at our Presentations page.
October 24, 2022
The paper Interpolating between small- and large-g expansions using Bayesian model mixing written by BAND members Alexandra Semposki, Dick Furnstahl, and Daniel Phillips has been published in Phys. Rev. C. It tests BAND’s linear, bivariate, and multivariate model mixing approaches on a toy model and paves the way for applications to crucial nuclear physics problems in the very near future!
October 14, 2022
BAND has released v0.2 of our software framework! This release includes two “BAND tools” intended to facilitate Bayesian analyses: surmise for model emulation & calibration and SaMBA for model mixing. It also includes three “BAND examples” where we apply these tools and methods to forefront Nuclear Physics problems: BFRESCOX for coupled-channel analyses of nuclear reactions, BRICK for R-matrix calculations, and a tutorial (QGP_Bayes) on the use of JETSCAPE_SIMS tools to analyze the quark-glion plasma. Pull the repo to get all of them, or pull some of it to get particular pieces you want, but please go ahead and play and tell us what you think when you do!
Setpember 13, 2022
A guide to the use of Order-Reduction Methods in Nuclear Physics, written by Jordan Melendez, BAND co-PI Dick Furnstahl, Christian Drischler, Alberto Garcia, and Xilin Zhang, has been published in J. Phys. G.
July 17, 2022
The annual BAND Retreat will be held July 21 and 22 in Dublin, Ohio. Details (schedule, directions, etc.) are available here.
May 1, 2022
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.
November 26, 2021
The paper Precision mass measurement of light self-conjugate nucleus 80Zr by BAND team member Witek Nazarewicz and his experimental and theoretical collaborators has been published in Nature Physics. The journal selected the paper as a highlight pointing in particular to the use of one of the techniques at the heart of BAND, Bayesian Model Averaging.
September 13, 2021
Post-doc Daniel Odell will be joining the BAND team at Ohio University on October 1! Daniel has been a postdoc at OU since summer 2019 after completing his Ph.D. at the University of Tennessee under the direction of Lucas Platter.
August 18, 2021
Check out BAND-supported research on emulators: Fast & accurate emulation of two-body scattering observables without wave functions and Toward emulating nuclear reactions using eigenvector continuation.
August 2, 2021
The ISNET 8 conference will be held in hybrid mode on December 14-16, 2021, preceded on December 13 by pedagogical lectures at the Second Annual BAND Camp. All talks will be delivered on-site, but sessions will also be broadcasted via zoom for remote participants. For more information and to register, see the ISNET 8 page.
June 22, 2021
The 2021 BAND Retreat was held on June 21 jointly on zoom and with in-person contingents in Michigan and Ohio. It was great to see everyone (some in person for the first time in over a year) and to hear all the progress!
June 16, 2021
The external BAND Advisory Board met with BAND members on June 14 via zoom. Our thanks to the Board for their advice and support!
May 20, 2021
The BAND Manifesto, Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncertainties in Nuclear Dynamics, is now published in Journal of Physics G. Full text here.
February 6, 2021
We’ve released surmise. surmise is a Python package that’s designed to provide a surrogate model interface for calibration, uncertainty quantification, and sensitivity analysis. An example is provided with the package so please go ahead and get in and play! Comments & questions to Ozge Surer who, together with Moses Chan, Matt Plumlee and Stefan Wild, developed this very useful tool.
January 1, 2021
Post-doc Ozge Surer joined the BAND team! Ozge completed her Ph.D. at Northwestern University under the supervision of Dan Apley and Ed Malthouse in December 2020. She will be working at the Northwestern-Argonne Institute of Science & Engineering under the supervision of Matt Plumlee and Stefan Wild.
January 1, 2021
Post-doc Pablo Giuliani joined the BAND team! Pablo completed his Ph.D. at Florida State University under the direction of Jorge Piekarewicz in December 2020. He will be working at Michigan State University with a joint appointment in the Department of Statistics and Probability under the supervision of Frederi Viens and the Facility for Rare Isotope Beams.
December 18, 2020
The First Annual BAND Camp was a great success! Daniel Phillips (OU) gave an overview of BAND, Michael Grosskopf (LANL) reviewed “Bayesian Basics”, Simon Mak (Duke) and Derek Everitt (OSU) explained “Model Emulation and Parameter Estimation”, and Matt Pratola (OSU) went through “Bayesian Analysis of Nuclear Dynamics: Early Directions in Bayesian Model Mixing”. The slides for the BAND Camp as well as for the Virtual ISNET 8 workshop that followed can be found here.
December 14, 2020
The BAND Manifesto, entitled Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncertainties in Nuclear Dynamics, is online on arXiv. Check it out!
September 24, 2020
Registration for Virtual ISNET 8 and for the First Annual BAND Camp is now open. Information and registration can be found here. The website also lists confirmed speakers for both events.
September 17, 2020
Opening for Post-doctoral Research Associate in BAND collaboration at Ohio University (see online ad to apply). Review begins November 24, 2020.