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Python code to work with elements and their isotopes

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MC-kit/mckit-nuclides

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mckit-nuclides: tables with information on elements and nuclides

Maintained License PyPI - Python Version PyPI Documentation Status

The module presents basic information on chemical elements and nuclides including natural presence. The data is organized as Pandas tables. Pandas allows to use dataset approach on data indexing, joining and selecting. There are also some tools to work with composition fractions.

Note

The documentation is in progress yet.

Tests https://codecov.io/gh/MC-kit/mckit-nuclides/branch/master/graph/badge.svg?token=wlqoa368k8 https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336 pre-commit

Half lives are extracted from [4] with /home/dvp/.julia/dev/Tools.jl/scripts/extract-half-lives.jl (nice script by the way).

  1. Kim, Sunghwan, Gindulyte, Asta, Zhang, Jian, Thiessen, Paul A. and Bolton, Evan E.. "PubChem Periodic Table and Element pages: improving access to information on chemical elements from authoritative sources" Chemistry Teacher International, vol. 3, no. 1, 2021, pp. 57-65. https://doi.org/10.1515/cti-2020-0006
  2. Elements table. https://pubchem.ncbi.nlm.nih.gov/rest/pug/periodictable/CSV
  3. Coursey, J.S., Schwab, D.J., Tsai, J.J., and Dragoset, R.A. (2018-06-14), Atomic Weights and Isotopic Compositions (version 4.1). [Online] Available: http://physics.nist.gov/Comp [year, month, day]. National Institute of Standards and Technology, Gaithersburg, MD.
  4. JEFF-3.3 radioactive decay data file https://www.oecd-nea.org/dbdata/jeff/jeff33/downloads/JEFF33-rdd_all.asc