curie 0.3.0

Curie is a python toolkit to aid in the analysis of experimental nuclear data.

Curie

Curie is a Python toolkit for the analysis of experimental nuclear data, with primary applications in (gamma-ray) activation analysis and the charged-particle stacked-target activation technique. Its name is inspired by Marie Curie, who pioneered the study of radioactivity. Alongside the analysis tools, it provides access to nuclear structure, decay, and reaction databases, and to atomic properties such as photon attenuation coefficients and charged-particle stopping powers.

>>> import curie as ci
>>> ci.Isotope('225RA').half_life('d')
14.9
>>> ci.Reaction('115IN(n,g)').plot(scale='loglog')   # a cross section, straight from the libraries

Curie's functionality is provided by a small set of classes. The table below maps common tasks to the classes that carry them out and the guide section that walks through each one.

Task	Classes	Guide
Fit full-energy peaks in HPGe (high-purity germanium) spectra; energy, resolution and efficiency calibration; extract activities	Spectrum, Calibration	Spectroscopy
Solve the Bateman equations; fit production rates and end-of-bombardment activities to counting data	DecayChain	Isotopes & Decay Chains
Retrieve, interpolate, and flux-average evaluated cross sections (ENDF/B-VIII.1, TENDL-2025, IRDFF-II, IAEA)	Reaction, Library	Reactions
Compute charged-particle energy loss and flux distributions through a target stack	Stack	Stopping Power Calculations
Look up decay data: half-lives, gamma intensities, branching ratios, atomic masses	Isotope	Isotopes & Decay Chains
Stopping powers, ranges, and photon attenuation coefficients for elements and compounds	Element, Compound	Stopping Power Calculations

New to activation analysis itself? The Beginner's Guide introduces the field from the ground up. Otherwise, install Curie and take the Quickstart tour. Throughout the documentation (and in all of the docstring examples), Curie is imported as import curie as ci.

Installation

Curie is available through the Python Package Index:

pip install curie

Nuclear data is fetched automatically on first use. Detailed installation instructions and troubleshooting can be found in the installation guide.

Citing Curie

If Curie contributes to published work, please cite it, for example: J. T. Morrell, Curie: A Python toolkit to aid in the analysis of experimental nuclear data (2019–), https://jtmorrell.github.io/curie/.