<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-14T21:39:17Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.43673" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.43673</identifier>
    <datestamp>2026-08-17T11:21:47Z</datestamp>
</header>
    <metadata>
        
<oai_dc:dc 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" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-08-17</dc:date>
  <dc:title>Long-term stability Analysis of Earth-Moon Distant Retrograde Orbits based on Frequency-Dependent Models</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.43673</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Distant Retrograde Orbits (DROs) hold significant potential for the exploration and utilization of cislunar space. A profound understanding of their long-term stability is essential for robust mission planning and trajectory design. This study investigates the long-term stability characteristics and underlying dynamical mechanisms of DROs within a High-Fidelity Ephemeris Model (HFEM). Through Fourier analysis, the research reveals resonance-driven instability gaps arising from the coupling between DRO frequencies and external perturbations. It is identified the Earth-Moon distance as the critical factor driving epoch-dependent variations in stable initial state boundaries. Furthermore, the proposed Quasi-Moon orbit Restricted Four-Body Problem (QMR4BP) model effectively balances computational efficiency with predictive precision, supporting the construction of a stable initial state database and an accelerated retrieval workflow. This work provides both dynamical Insights and practical tools for DRO orbit selection and optimization.</dc:description>
  <dc:subject>DRO; Long-term stability; Frequency; Dynamical model</dc:subject>
  <dc:creator>孙洋</dc:creator>
  <dc:creator>张皓</dc:creator>
  <dc:creator>高扬</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>