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                <identifier>oai:data.mendeley.com/6fm7d4m2py.1</identifier>
                <datestamp>2022-12-06T17:54:38Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Ballantyne, John</dc:creator>
    <dc:title>dmscatter: A fast program for WIMP-nucleus scattering</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Recent work [1], [2], using an effective field theory framework, have shown the number of possible couplings between nucleons and the dark-matter-candidate Weakly Interacting Massive Particles (WIMPs) is larger than previously thought. Inspired by an existing Mathematica script that computes the target response [2], we have developed a fast, modern Fortran code, including optional OpenMP parallelization, along with a user-friendly Python wrapper, to swiftly and efficiently explore many scenarios, with output aligned with practices of current dark matter searches. A library of most of the important target nuclides is included; users may also import their own nuclear structure data, in the form of reduced one-body density matrices. The main output is the differential event rate as a function of recoil energy, needed for modeling detector response rates, but intermediate results such as nuclear form factors can be readily accessed.</dc:description>
    <dc:subject>Nuclear Physics</dc:subject>
    <dc:subject>Particle Physics</dc:subject>
    <dc:subject>Computational Physics</dc:subject>
    <dc:subject>Dark Matter</dc:subject>
    <dc:contributor>Gorton, Oliver C.</dc:contributor>
    <dc:contributor>Johnson, Calvin W.</dc:contributor>
    <dc:contributor>Jiao, Changfeng</dc:contributor>
    <dc:contributor>Nikoleyczik, Jonathan</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/6fm7d4m2py.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/6fm7d4m2py.1</dc:identifier>
    <dc:rights>MIT License</dc:rights>
    <dc:rights>http://opensource.org/licenses/MIT</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/6fm7d4m2py</dc:relation>
    <dc:date>2022-12-06T17:54:38Z</dc:date>
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