ENSDF Database Modernization with Python API

ORAL

Abstract

The Evaluated Nuclear Structure Data File (ENSDF) is a database that contains the level and decay properties for over 3,300 nuclides. ENSDF is accessible to anyone through the National Nuclear Data Center’s (NNDC) website. It is a highly used database with over 4.5 million data retrievals in 2019. However, its 80-column ASCII format makes it difficult to update and use. As such, the NNDC is working on a project that will update ENSDF to an object-oriented database. The database includes indexes, or “views,” that can be used to sort and filter data very efficiently. For example, a search through all ~200,000 gamma rays in the database requires only one line of code and takes ~100 ms. Researchers will be able to use the object-oriented Python3 API under development to retrieve data via the web, search, sort, and develop their own code projects. The API will also have built-in plotting functions for visualizing ENSDF data.

*Research sponsored by Office of Nuclear Physics, Office of Science, US Department of Energy, under contract DE-AC02-98CH10946 (BNL) and DE-AC-06CH11357 (ANL).

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Presenters

  • Edwin Gomez

Authors

  • Edwin Gomez

  • Adam Hayes

    • Brookhaven National Laboratory

  • Elizabeth A McCutchan

    • Brookhaven National Laboratory

  • Andrea Mattera

    • BNL
    • Brookhaven National Laboratory

  • Shu Shu

    • National Nuclear Data Center

  • Donnie Mason

    • Brookhaven National Laboratory

  • Alejandro A Sonzogni

    • Brookhaven National Laboratory

  • Carlos Soto

    • Brookhaven National Lab

  • Sean McCorkle

    • Brookhaven National Lab

  • Chris Morse

    • Brookhaven National Laboratory

  • Shinjae Yoo

    • Brookhaven National Lab

  • Filip G Kondev

    • Argonne National Laboratory

  • Caleb Mattoon

    • Lawrence Livermore National Lab

  • Shaofei Zhu

    • Brookhaven National Laboratory
    • Brookhaven National Lab