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tetrascatt
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Download and install tetrascatt package within the R console
Install from CRAN:
install.packages("tetrascatt")
Install from Github:
library("remotes")
install_github("cran/tetrascatt")
Install by package version:
library("remotes")
install_version("tetrascatt", "0.1.1")
Attach the package and use:
library("tetrascatt")
Maintained by
Juan Domingo Gonzalez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-27
Latest Update: 2024-01-29
Description:
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 <doi:10.48550/arXiv.2312.16721>).
How to cite:
Juan Domingo Gonzalez (2023). tetrascatt: Acoustic Scattering for Complex Shapes by Using the DWBA. R package version 0.1.1, https://cran.r-project.org/web/packages/tetrascatt
Previous versions and publish date:
0.1.0 (2023-02-27 18:10)
Other packages that cited tetrascatt R package
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Other R packages that tetrascatt depends,
imports, suggests or enhances
Functions, R codes and Examples using
the tetrascatt R package
Some associated functions: read_mesh . tetrascatt . tetrascatt_c .
Some associated R codes: RcppExports.R . read_mesh.R . tetrascatt.R . Full tetrascatt package functions and examples
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