pith. sign in

arxiv: 1305.6497 · v1 · pith:PTSPPOY7new · submitted 2013-05-26 · ⚛️ physics.comp-ph · astro-ph.GA· cond-mat.mes-hall· physics.optics

User Guide for the Discrete Dipole Approximation Code DDSCAT 7.3

classification ⚛️ physics.comp-ph astro-ph.GAcond-mat.mes-hallphysics.optics
keywords ddscatscatteringtargetcalculationsdraineabsorptioncodeflatau
0
0 comments X
read the original abstract

DDSCAT 7.3 is an open-source Fortran-90 software package applying the discrete dipole approximation to calculate scattering and absorption of electromagnetic waves by targets with arbitrary geometries and complex refractive index. The targets may be isolated entities (e.g., dust particles), but may also be 1-d or 2-d periodic arrays of "target unit cells", allowing calculation of absorption, scattering, and electric fields around arrays of nanostructures. The theory of the DDA and its implementation in DDSCAT is presented in Draine (1988) and Draine & Flatau (1994), and its extension to periodic structures in Draine & Flatau (2008), and efficient near-field calculations in Flatau & Draine (2012). DDSCAT 7.3 includes support for MPI, OpenMP, and the Intel Math Kernel Library (MKL). DDSCAT supports calculations for a variety of target geometries. Target materials may be both inhomogeneous and anisotropic. It is straightforward for the user to "import" arbitrary target geometries into the code. DDSCAT automatically calculates total cross sections for absorption and scattering and selected elements of the Mueller scattering intensity matrix for user-specified scattering directions. DDSCAT 7.3 can efficiently calculate E and B throughout a user-specified volume containing the target. This User Guide explains how to use DDSCAT 7.3 to carry out electromagnetic scattering calculations, including use of DDPOSTPROCESS, a Fortran-90 code to perform calculations with E and B at user-selected locations near the target. A number of changes have been made since the last release, DDSCAT 7.2 .

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Floating-point consistent cross-verification methodology for reproducible and interoperable DDA solvers with fair benchmarking

    physics.comp-ph 2026-03 conditional novelty 6.0

    A unified methodology achieves floating-point consistent results across DDSCAT, ADDA, and IFDDA solvers and enables fair CPU/GPU benchmarking with provided equivalence tables and software.