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        <formatdesc>Matlab (2016) code used to create figures. Each script is named as the figure it produced. Figure 4b uses the same script as figure 3b/3d</formatdesc>
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        <license>cc_mit</license>
        <main>DOI scripts.zip</main>
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        <formatdesc>.mat files containing the data that is plotted in each figure. This data is produced using supplied matlab scripts from first principles</formatdesc>
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          <family>Parry</family>
          <given>Charlotte</given>
        </name>
        <id>C.Parry@bath.ac.uk</id>
        <orcid>0000-0001-5378-9963</orcid>
        <affiliation>University of Bath</affiliation>
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        <name>
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        <orcid>0000-0001-5523-0311</orcid>
        <affiliation>University of Bath</affiliation>
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    <title>Code for Group-velocity symmetry in photonic crystal fibre for ultra-tunable quantum frequency conversion</title>
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      <item>HH0030</item>
      <item>HH0060</item>
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    <keywords>Matlab, simulation, PCF, fibre, phasematching, broadband, frequency conversion</keywords>
    <abstract>This data set includes the MATLAB scripts used to generate the plots in each figure of this paper. Specifically, &quot;PCF_BSFWM_Broadbandfinder032020.m&quot; was used to create the plot in fig.2 measuring the broadband conversion of PCF from the sellmier equations for refractive index in PCF; &quot;PCF_BSFWM_Broadbandphasematching0420.m&quot; was used to find specific examples of broadband PCF and &quot;NLSE_bsfwm_in_pcf.m&quot; was used in a similar way to look at individual fibre designs. Also included are the functions referenced in each script. Results are derived from first principles so no input data is needed.</abstract>
    <date>2021-06-16</date>
    <publisher>University of Bath</publisher>
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        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/T001062/1  (with Oxford)</grant_id>
        <project_name>Phase 2 UK Hub for Quantum Computing and Simulation</project_name>
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    <collection_method>All data was produced from first principles and the saitoh and koshiba method for PCF analysis and analysed using the included MATLAB scripts.</collection_method>
    <techinfo>Produced using MATLAB 2016. Also included are functions written and used by the authors in these scripts</techinfo>
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    <version>1</version>
    <doi>10.15125/BATH-01007</doi>
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