Data · dataset · 2024
Calculation of bivariate cylindrically symmetric α-stable distribution using Wynn’s ε-method. Generated datasets.
Listed in ARP Research Data Repository
The α-stable distributions appear in a broad field.
Description
We needed them in X-ray and neutron off-specular scattering, where their characteristic functions are frequently used as correlation functions. In practice, we need the Fourier-transforms of the 2-dimensional (and usually cylindrically symmetric) correlation functions, i.e. the corresponding probability density functions.
At first, we used implementations, which we have found sorrily to be numerically unstable. Therefore, we have written a new C++ code using the GNU MPFR (C library for multiple-precision floating-point computations) and boost multiprecision libraries. We present the ‘test’ results generated by this new code here.
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Additionally, we very shortly summarize the theoretical bases. For further details, we refer the reader to the given references, and the source code and its documentation also are provided.
Links
Where it is published
- Dataverse dataset page repo.researchdata.hu/dataset.xhtml?persistentId=hdl%3A21.15109%2FARP%2FBIPBSA ↗
landing page · from repo researchdata hu
- Persistent identifier hdl.handle.net/21.15109/ARP/BIPBSA ↗
DOI / persistent id · from repo researchdata hu
Catalogue records · 1
- Dataverse API repo.researchdata.hu/api/datasets/:persistentId/?persistentId=hdl%3A21.15109%2FARP%… ↗
metadata API · from repo researchdata hu
Topics
- Stated by source
- Computer and Information Science · Engineering · Mathematical Sciences · Physics
- From keywords
- Engineering · Mathematics & Statistics · Physics
- Inferred from text
- Numerical and computational mathematics 72%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ARP Research Data Repository | hdl:21.15109/ARP/BIPBSA | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4903 | enrichment · repo researchdata hu | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /subjects |
| concepts[field].dataverse_subject:engineering | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /subjects |
| concepts[field].dataverse_subject:mathematical-sciences | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /subjects |
| concepts[field].dataverse_subject:physics | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /subjects |
| created_date | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | |
| description | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /description |
| publication_date | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | |
| title | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | /name |
| updated_date | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 | |
| version_label | source · repo researchdata hu | connector:repo_researchdata_hu@1.0.0 |