Vector Spaces for Dark Matter (VSDM): Fast Direct Detection Calculations with Python and Julia
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909509350326272 |
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| author | Lillard, Benjamin Radick, Aria |
| author_facet | Lillard, Benjamin Radick, Aria |
| contents | 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 \emph{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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_17547 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Vector Spaces for Dark Matter (VSDM): Fast Direct Detection Calculations with Python and Julia Lillard, Benjamin Radick, Aria High Energy Physics - Phenomenology 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 \emph{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. |
| title | Vector Spaces for Dark Matter (VSDM): Fast Direct Detection Calculations with Python and Julia |
| topic | High Energy Physics - Phenomenology |
| url | https://arxiv.org/abs/2502.17547 |