Program - Brookhaven National Laboratory

in XUNDL and bibliographic information in NSR are disseminated to the Nuclear Physics community
worldwide via the web and other media including the derived publications, e.g., the Nuclear Wallet Cards.
This presentation will briefly review some of these databases, the publications based on these, and their
dissemination online. This work is supported by the Office of Nuclear Physics, Office of Science, US
Department of Energy under contract no. DE-AC02-98CH10886
FA 3 11:20 AM
A New Infrastructure for Handling Nuclear Data
C.M. Mattoon, B.R. Beck, G. Hedstrom
Lawrence Livermore National Laboratory
With the recent formation of WPEC subgroup 38, the nuclear data community has begun the process
of defining a flexible new international standard for storing nuclear data that eliminates the limitations
imposed by older formats. Lawrence Livermore National Laboratory (LLNL) has made an initial effort
towards defining a new format, resulting in the ’Generalized Nuclear Data’ (GND) structure for storing
evaluated nuclear reaction data. By itself, a new format is of limited use. The nuclear data infrastructure
must also be updated to support using, modifying, visualizing and processing data stored in the format.
This talk focuses on the infrastructure that is being developed at LLNL for handling evaluated nuclear
reaction data in GND. In particular, we discuss the LLNL code Fudge, which was recently upgraded
to support GND-formatted data. Fudge is now capable of reading and writing GND files, as well as
modifying and visualizing the data structures contained in those files. Many basic operations have also been
implemented, including converting parameterized data types such as resonance parameters or Kalbach-
Mann angular distributions into pointwise data. Fudge also supports converting legacy formats both
to and from GND, so that GND can be used along-side those legacy formats. Much work still remains
towards building the new infrastructure for nuclear data. In particular, the ability to process the data
for use by Monte Carlo and/or deterministic transport codes is not yet complete. After processing, the
data must either be translated back into legacy processed formats, or a new API must be defined for using
processed data in GND. Progress towards all these goals will be discussed. This work has been supported
by Department of Energy contract No. DE-AC52-07NA27344 (Lawrence Livermore National Laboratory).
FA 4 11:40 AM
Cloud Computing for Nuclear Data
M.S. Smith
Physics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
The Nuclear Data Cloud Computing Consortium (NDC3) was established to explore the tremendous
potential of online systems in the field of Nuclear Data. Running scientific, processing, and simulation
codes online on remote servers - “in the cloud” - may provide the methodology breakthrough needed to
enable data compilation, evaluation, processing, dissemination, and visualization activities to keep pace
with the flood of new, more complex data in an era of decreasing manpower. There are many possibilities for
significant productivity gains in nuclear data, including: running analysis and application codes remotely
with no installation hassles; devising digital “assistants” to collect masses, level schemes, and references;
enabling experts to upload supplemental information for evaluations; providing quick access to major
databases; auto-filling of evaluation templates; designing custom dataset views; using “virtual experts”
for evaluation guidance; sharing datasets too large for email; visually tracking the progress of evaluations;
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