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

On CRAN:

Conda:

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 1 years agofrom:26154d7632. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 23 2025
R-4.5-linux-x86_64OKFeb 23 2025

Exports:read_meshtetrascatttetrascatt_c

Dependencies:RcppRcppArmadillo

Readme and manuals

Help Manual

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