KKCalc2
kkcalc2 is a comprehensive toolkit for calculating Kramers Kronig transforms of X-ray absorption/dispersion data, and is built to the feature-rich standards of xraysoftmat.
Introduction
kkcalc2 is an open-source python package to calculate the Kramers-Kronig (inverse) transform of X-ray absorption (dispersion) data:
$$f_2(E) = \frac{2}{\pi} P \int_{0}^{\infty}\frac{x f_1(x)}{x^2 - E^2} dx + \mathcal{Z}^\star$$
where $f_1$ and $f_2$ are the real and imaginary parts of the complex index of refraction, respectively, $\mathcal{Z}^\star$ is the relativistic correction, and $P$ denotes the Cauchy principal value at ($x=E$).
kkcalc2 uses a polynomial representation algorithm developed by Watts [1].
This package provides an object oriented API, to evaluate optical constants (index of refraction, absorption and dispersion, etc.), extend measurement spectra with databases, or can be accessed through a PyQT6 GUI interface. Documentation can be found at readthedocs, and releases (including documentation and executable builds) can be found at github.
References
Metadata
Release files for KKCalc2 1.2.1
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 |
|---|---|---|---|---|
| kkcalc2-1.2.1.tar.gz | 1.5 MB | With provenance | Details for kkcalc2-1.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| kkcalc2-1.2.1-py3-none-any.whl | Python 3 | none | any | Details for kkcalc2-1.2.1-py3-none-any.whl |
Total release size: 3.6 MB
Release files / kkcalc2-1.2.1.tar.gz
| Download URL | kkcalc2-1.2.1.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d76808e01f65a647a5dfbea42611a4f326984b256cb27a8da7d6a0fc4a79163d
|
|
BLAKE2b-256 checksum How to use checksums |
20bb29f703343f29deccaa1abb1ed6c6bb026e69865c3e4c0a1fb83fa410a6a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Sep 4, 2026.
Transparency logRelease files / kkcalc2-1.2.1-py3-none-any.whl
| Download URL | kkcalc2-1.2.1-py3-none-any.whl |
|---|---|
| Size | 2.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4a909c86b837c086171d1c4db02f539f52abd3ac8994774b4ad433456c839777
|
|
BLAKE2b-256 checksum How to use checksums |
3369e1f6f652199ba2313018faa0b5cbeec888df189723cceaacf56473f1ae79
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Sep 4, 2026.
Transparency logSecurity for KKCalc2 1.2.1
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 kkcalc2-1.2.1.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 Sep 4, 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.
