Poster Open Access

The search for Dipper stars in the Orion A Molecular Cloud Complex from NGTS survey data

Moulton, Tyler; Hodgkin, Simon; Gillen, Ed; Briegal, Josh; Smith, Gareth


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.4567525</identifier>
  <creators>
    <creator>
      <creatorName>Moulton, Tyler</creatorName>
      <givenName>Tyler</givenName>
      <familyName>Moulton</familyName>
      <affiliation>Harvard University</affiliation>
    </creator>
    <creator>
      <creatorName>Hodgkin, Simon</creatorName>
      <givenName>Simon</givenName>
      <familyName>Hodgkin</familyName>
      <affiliation>University of Cambridge</affiliation>
    </creator>
    <creator>
      <creatorName>Gillen, Ed</creatorName>
      <givenName>Ed</givenName>
      <familyName>Gillen</familyName>
      <affiliation>University of Cambridge, Queen Mary University of London</affiliation>
    </creator>
    <creator>
      <creatorName>Briegal, Josh</creatorName>
      <givenName>Josh</givenName>
      <familyName>Briegal</familyName>
      <affiliation>University of Cambridge</affiliation>
    </creator>
    <creator>
      <creatorName>Smith, Gareth</creatorName>
      <givenName>Gareth</givenName>
      <familyName>Smith</familyName>
      <affiliation>University of Cambridge</affiliation>
    </creator>
  </creators>
  <titles>
    <title>The search for Dipper stars in the Orion A Molecular Cloud Complex from NGTS survey data</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-02-26</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Poster</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4567525</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4567524</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/coolstars20half</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Dipper stars are low-mass stellar variables which exhibit deep aperiodic drops in flux tied to dust transits in the inner disk region of these stars&amp;#39; circumstellar disks. Using the NGTS survey of Orion A from the 2017-2018 observing season as well as a training set of stars classified from previous Orion surveys, we apply machine learning methods towards the identification of new Dipper stars in Orion. We identify 72 new Orion dippers for a total of 81 dippers in our sample - the largest dipper population discovered and characterized in Orion to date.&lt;/p&gt;</description>
  </descriptions>
</resource>
28
27
views
downloads
All versions This version
Views 2828
Downloads 2727
Data volume 322.5 MB322.5 MB
Unique views 2323
Unique downloads 2626

Share

Cite as