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DarkARC

Dark Matter-induced Atomic Response Code (DarkARC) - A python tool for the calculation and tabulation of atomic response functions for ionization via dark matter-electron scatterings.

Install / Use

/learn @temken/DarkARC
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

| WARNING: :warning: THE PYTHON TOOL DarkARC IS NO LONGER MAINTAINED AND WAS REPLACED BY THE C++ TOOL DarkART :warning: | | --- |

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License: MIT

Dark Matter-induced Atomic Response Code (DarkARC)

<a href="https://ascl.net/2112.011"><img src="https://img.shields.io/badge/ascl-2112.011-blue.svg?colorB=262255" alt="ascl:2112.011" /></a> DOI arXiv

Python tool for the computation and tabulation of atomic response functions for direct sub-GeV dark matter (DM) searches.

<img src="https://user-images.githubusercontent.com/29034913/70995423-d0683c80-20d0-11ea-85bd-fdcb91d972eb.png" width="800">

GENERAL NOTES

  • This code computes the four atomic response functions introduced in the paper [arXiv:1912.08204].
  • The tabulation of the atomic response functions is separated into two steps:
    • the computation and tabulation of three radial integrals (via /src/radial_integrals_tabulation.py).
    • their combination into the response function tables (via /src/atomic_responses_tabulation.py).
  • The computations are performed in parallel using the multiprocessing library.

CONTENT

The included folders are:

  • /data/: Destination folder of the code's output (tables of integration methods, radial integrals, and finally atomic response functions).
  • /src/: Contains the source code.

CITING THIS CODE

If you decide to use this code, please cite the latest archived version,

[DOI:10.5281/zenodo.3581334]

as well as the original publications,

Catena, R., Emken, T. , Spaldin, N., and Tarantino, W., Atomic responses to general dark matter-electron interactions, [arXiv:1912.08204].

VERSIONS

AUTHORS & CONTACT

The author of this tool is Timon Emken.

For questions, bug reports or other suggestions please contact emken@chalmers.se.

LICENCE

This project is licensed under the MIT License - see the LICENSE file.

View on GitHub
GitHub Stars7
CategoryDevelopment
Updated10mo ago
Forks2

Languages

Python

Security Score

82/100

Audited on May 18, 2025

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