mckit-nuclides 0.3.4

Python tools to work with elements and isotopes

Contents

• Description

• Installation

• Examples

• Contributing

• Notes

• References

Description

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.

Installation

Examples

Contributing

Notes

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

References

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