Package: tetrascatt 0.1.1

Juan Domingo Gonzalez

tetrascatt: Acoustic Scattering for Complex Shapes by Using the DWBA

Uses the Distorted Wave Born Approximation (DWBA) to compute the acoustic backward scattering, the geometry of the object is formed by a volumetric mesh, composed of tetrahedrons. This computation is done efficiently through an analytical 3D integration that allows for a solution which is expressed in terms of elementary functions for each tetrahedron. It is important to note that this method is only valid for objects whose acoustic properties, such as density and sound speed, do not vary significantly compared to the surrounding medium. (See Lavia, Cascallares and Gonzalez, J. D. (2023). TetraScatt model: Born approximation for the estimation of acoustic dispersion of fluid-like objects of arbitrary geometries. arXiv preprint <arxiv:2312.16721>).

Authors:Juan Domingo Gonzalez [cre, aut], Edmundo Federico Lavia [aut], Guadalupe Cascallares [aut]

tetrascatt_0.1.1.tar.gz
tetrascatt_0.1.1.tar.gz(r-4.5-noble)tetrascatt_0.1.1.tar.gz(r-4.4-noble)
tetrascatt_0.1.1.tgz(r-4.4-emscripten)tetrascatt_0.1.1.tgz(r-4.3-emscripten)
tetrascatt.pdf |tetrascatt.html
tetrascatt/json (API)
NEWS

# Install 'tetrascatt' in R:
install.packages('tetrascatt', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 1 stars 5 scripts 168 downloads 3 exports 2 dependencies

Last updated 11 months agofrom:26154d7632. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64OKNov 25 2024

Exports:read_meshtetrascatttetrascatt_c

Dependencies:RcppRcppArmadillo

Readme and manuals

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