List view
Lead: @ax3l Contributing: @oshapoval, @RevathiJambunathan, @RemiLehe Goals: - automate data transfer while data acquisition (experiment) is running to NERSC - automate conversion to sub-selected, training-ready dataset - automatically launch simulations - automatically launch model updates
No due date•2/4 issues closedLead: @RemiLehe Contributing: @RevathiJambunathan, @oshapoval Goals: - optimize (maximize) the particles in a given energy range by tuning input parameters - achieve this via ML models that predict new experimental input parameters from combined simulation & experimental data
No due date•5/5 issues closedLead: @RemiLehe Contributing: Lotti, @aodhanmci Goals: - produce training data that contains three inputs (target / focal position, TOD, GVD) and one output (total number of particles in a custom energy range, start with 5-20) - write scripts for automatic analysis
No due date•2/2 issues closedLead: @ax3l Contributing: @n01r, @oshapoval Goals: - produce training data that contains three inputs (target / focal position, TOD, GVD) and one output (total number of particles in a custom energy range, start with 5-20 MeV) - instrument simulation for input variation and automatic analysis
No due date•9/9 issues closed