BAND Camp will occur on Monday, October 5. You must register for ISNET-12 and indicate that you want to attend BAND Camp. Lunch will be provided for all participants.
BAND Camp is a one-day set of pedagogical presentations and tutorials organized by the Bayesian Analysis of Nuclear Dynamics (BAND) collaboration. Materials will be geared towards students and earlier career researchers, and aim to provide an introduction to the software tools developed by BAND and to the corresponding concepts and methods of Bayesian uncertainty quantification.
The camp teaches attendees to use Bayesian statistics, which is a mathematical method for updating the probability of a hypothesis as more evidence becomes available. In nuclear physics, researchers can use BAND tools when fitting (or “calibrating”) a model to experimental data, when estimating the uncertainties in a particular model, and in order to combine disparate models of a particular observable.
BAND’s software has tools that are designed to facilitate these steps in the Bayesian workflow. The software thus lowers the barrier for nuclear-physics researchers wishing to employ Bayesian methods, acting as a "bridge" between applied math and nuclear physics data.
You can find learning materials, examples, and the open-source code on the 
BAND Framework Project Page.
BAND camp, zeroth-order schedule
- Daniel Phillips: Introduction to the BAND Framework
- Moses Chan: GP emulation using surmise
- Kyle Beyer: calibrating an optical model using BAND tools
- Matthew Pratola: OpenBTmixing in Taweret
- Alexandra Semposki: GP mixing in Taweret
- Kyle Godbey: Bayesian Model Combination and using it for nuclear masses
- Sunil Jaiswal: discrepancy functions and using them in calibration