Metadata-Version: 2.1
Name: wimprates
Version: 0.3.2
Summary: Differential rates of WIMP-nucleus scattering
Home-page: https://github.com/jelleaalbers/wimprates
Author: Jelle Aalbers
License: MIT
Description: wimprates
        =========
        
        Differential rates of WIMP-nucleus scattering in the standard halo model, for liquid xenon detectors.
        
        `https://github.com/JelleAalbers/wimprates`
        
        [![Build Status](https://travis-ci.org/JelleAalbers/wimprates.svg?branch=master)](https://travis-ci.org/JelleAalbers/wimprates)
        [![DOI](https://zenodo.org/badge/117823144.svg)](https://zenodo.org/badge/latestdoi/117823144)
        
        Installation and usage
        ----------------------
         - `pip install wimprates`
         - [See this basic example for usage.](https://github.com/JelleAalbers/wimprates/blob/master/notebooks/Example.ipynb)
        
        The package uses numericalunits (https://pypi.python.org/pypi/numericalunits); all function inputs
        are expected to have proper units.
        
        
        Features
        --------
        - Spin-indendent and spin-dependent DM-nucleus scattering;
        - Elastic NR, bremsstrahlung, and Migdal effect detection mechanisms;
        - Time dependent observed dark matter speed distribution (annual modulation only, no daily modulation).
        - Under development: DM-electron scattering
        
        
        How to cite
        ------------
        - J. Aalbers, B. Pelssers and K. Morå, wimprates: v0.3.0 (2019). http://doi.org/10.5281/zenodo.3345959.
        - The original sources for models used in wimprates are:
          - **Spin-dependent scattering**: Klos, P. et al., [Phys.Rev. D88 (2013) no.8, 083516](https://journals.aps.org/prd/abstract/10.1103/PhysRevD.88.083516), Erratum: [Phys.Rev. D89 (2014) no.2, 029901](https://journals.aps.org/prd/abstract/10.1103/PhysRevD.89.029901). [[arXiv:1304.7684]](https://arxiv.org/abs/1304.7684)  
          - **Bremsstrahlung**: C. Kouvaris and J. Pradler, [Phys. Rev. Lett. 118, 031803 (2017)](https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.118.031803). [arXiv:1607.01789](https://arxiv.org/abs/1607.01789)
          - **Migdal effect**: M. Ibe et al., [JHEP 1803 (2018) 194](https://link.springer.com/article/10.1007/JHEP03(2018)194). [arXiv:1707.07258](https://arxiv.org/abs/1707.07258) 
          - **Dark matter electron scattering**: R. Essig, T. Volansky, T.-T. Yu: [Phys. Rev. D 96, 043017 (2017)](https://journals.aps.org/prd/abstract/10.1103/PhysRevD.96.043017). [arXiv:1703.00910](https://arxiv.org/abs/1703.00910).
            - Ionization form factors from: T.-T. Yu, http://ddldm.physics.sunysb.edu/ddlDM/, 2018-11-05.
        
        Contributors
        -------------
         * Jelle Aalbers
         * Bart Pelssers
         * Knut Dundas Mora
        
        
        
        
        History
        -------
        
        
        0.3.2 (2019-11-24)
        ------------------
        * Fix technical release issue
        
        0.3.1 (2019-11-24)
        ------------------
        * Alternate materials for SI scattering (#4)
        * Faster J200 timestamp conversion (#5)
        
        0.3.0 (2019-07-22)
        ------------------
        * Flexible halo model (#3)
        * DM form factor choice for DM-electron scattering
        
        0.2.2 (2019-03-27)
        ------------------
        * DM-electron scattering
        
        0.2.1 (2019-03-23)
        ------------------
        * Fix package data specification
        
        0.2.0 (2019-03-23)
        ------------------
        * Annual modulation (#2)
        * Migdal effect
        * Configurable mediator mass
        * Resistance to numericalunits.reset_units()
        * Restructure as python package
        
        0.1 (2018-01-17)
        ----------------
        * Initial release
        
Keywords: wimp,spin-dependent,spin-independent,bremsstrahlung,migdal
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
