Organizer: Michael Rising (Los Alamos National Laboratory)

This workshop will cover many of the new features, algorithms, code improvements, updated tools, and improved workflows included in the MCNP6.3 code release. While more details of the workshop will be forthcoming, a few of the topics to expect at this workshop include:

  • An overview of the latest MCNP6.3 code, algorithm, and tool improvements
  • Current parallelism options and strategies for many applications including:
    • Criticality and reactor physics
    • Shielding and other fixed-source applications
    • Lattice, unstructured mesh, and other advanced geometry applications
  • New tally features with improved parallelism algorithms (e.g., fast history-based statistics, batch statistics)
  • Efficiently interacting with the new Qt-based plotter and new HDF5-based outputs
  • Python-based quantitative and qualitative pre- and post-processing techniques
  • Ongoing developments in progress for MCNP6.4

All the workshop materials, including slides, exercises, documentation, etc., will be made available to all participants. There will be live exercises done by the instructors. Participants interested in performing the exercises will need to bring their own laptop with the MCNP6.3 software installed (see how to obtain the MCNP6.3 code here ( https://mcnp.lanl.gov/how_to_get_the_mcnp_code.html ), along with a few other openly available tools (e.g., Python, MCNPTools, ParaView). Earlier versions of the MCNP6 code, i.e., MCNP6.2 and earlier, will not be able to perform the exercises provided. Details on the additional software and versions required will be communicated well before the workshop. Attendees are not required to participate in the exercises performed during the workshop nor are they required to have a license to the MCNP6 code. Instructors will be available to discuss participant questions regarding the workshop materials.