Codebase release 0.3 for VSDM

Anisotropic target materials are promising candidates for dark matter direct detection experiments, providing a directional sensitivity that can be used to distinguish a dark matter (DM) signal from the various Standard Model backgrounds. In this paper we introduce the Julia and Python implementations of Vector Spaces for Dark Matter (VSDM), which handle the difficult scattering rate computation for these rotating, three-dimensional response functions by calculating a partial rate matrix for every combination of DM velocity distribution, material response function, and particle DM properties.

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Publication Details

Journal
SciPost Physics Codebases
Published
2026-03-31
DOI
https://doi.org/10.21468/scipostphyscodeb.68-r0.3
Citations
1
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
21.13
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article

Codebase release 0.3 for VSDM

Benjamin Lillard, Aria Radick
1 citations
SciPost Physics Codebases
Dark Matter and Cosmic Phenomena
21.13
article

Codebase release 0.3 for VSDM

Benjamin Lillard, Aria Radick
article en
1 citations

Abstract

Anisotropic target materials are promising candidates for dark matter direct detection experiments, providing a directional sensitivity that can be used to distinguish a dark matter (DM) signal from the various Standard Model backgrounds. In this paper we introduce the Julia and Python implementations of Vector Spaces for Dark Matter (VSDM), which handle the difficult scattering rate computation for these rotating, three-dimensional response functions by calculating a partial rate matrix for every combination of DM velocity distribution, material response function, and particle DM properties.

SciPost Physics Codebases
Pennsylvania State University (US)
Openalex Percentile: Top 1%
Dark Matter and Cosmic Phenomena
21.13
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