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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.

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