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/.
1 maintainer
Metadata
1 maintainer
Release files for curie 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| curie-0.3.2.tar.gz | 958.7 kB | With provenance | Details for curie-0.3.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| curie-0.3.2-py3-none-any.whl | Python 3 | none | any | Details for curie-0.3.2-py3-none-any.whl |
Total release size: 1.2 MB
Release files / curie-0.3.2.tar.gz
| Download URL | curie-0.3.2.tar.gz |
|---|---|
| Size | 958.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
83b3eddb5446bd3638b98de29c4f084447caf07943ab2deb32b170e984459f11
|
|
BLAKE2b-256 checksum How to use checksums |
13222b2b87f04ea9c853be317c303a1b549c50cd32e59017fa93a0f23e19a303
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 2, 2026.
Transparency logRelease files / curie-0.3.2-py3-none-any.whl
| Download URL | curie-0.3.2-py3-none-any.whl |
|---|---|
| Size | 237.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
033477fe69211cbcf7b591e3589abbeb37efd7513864c9c0e723d1d4a386acb0
|
|
BLAKE2b-256 checksum How to use checksums |
1976a5d193c2d9a8e67bcb9a93ea44cdd1171e3208225f4cff2bc207690f9772
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 2, 2026.
Transparency logSecurity for curie 0.3.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for curie-0.3.2.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 2, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
