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.
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Presenters
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Edwin Gomez
Authors
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Edwin Gomez
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Adam Hayes
Brookhaven National Laboratory
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Elizabeth A McCutchan
Brookhaven National Laboratory
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Andrea Mattera
BNL, Brookhaven National Laboratory
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Shu Shu
National Nuclear Data Center
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Donnie Mason
Brookhaven National Laboratory
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Alejandro A Sonzogni
Brookhaven National Laboratory
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Carlos Soto
Brookhaven National Lab
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Sean McCorkle
Brookhaven National Lab
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Chris Morse
Brookhaven National Laboratory
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Shinjae Yoo
Brookhaven National Lab
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Filip G Kondev
Argonne National Laboratory
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Caleb Mattoon
Lawrence Livermore National Lab
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Shaofei Zhu
Brookhaven National Laboratory, Brookhaven National Lab