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Poster Open Access

Photometric magnetic activity and active-region lifetimes of solar-like stars

Santos, Angela R. G.; Mathur, Savita; García, Rafael A.; Cunha, Margarida S.; Avelino, Pedro P.; Broomhall, Anne-Marie; Egeland, Ricky; Breton, Sylvain N.


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        <foaf:name>Breton, Sylvain N.</foaf:name>
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    <dct:title>Photometric magnetic activity and active-region lifetimes of solar-like stars</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued>
    <dcat:keyword>stars: low-mass</dcat:keyword>
    <dcat:keyword>stars: rotation</dcat:keyword>
    <dcat:keyword>stars: activity</dcat:keyword>
    <dcat:keyword>starspots</dcat:keyword>
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    <dct:description>&lt;p&gt;Rotational modulation due to dark spots co-rotating with the stellar surface allows us to constrain rotation and magnetic properties of solar-like stars. The long-term observations collected by &lt;em&gt;Kepler&lt;/em&gt; (and those that will be collected by PLATO) are preferred for a better characterization of magnetic activity. In this work, we investigate the temporal variability of the photometric magnetic activity proxy S&lt;sub&gt;ph&lt;/sub&gt;, as well as the characteristic timescale of active-regions in solar-like stars.&lt;/p&gt;</dct:description>
    <dct:description>Part of the results, particularly on the ACF for artificial date, are published and can be found here: https://ui.adsabs.harvard.edu/abs/2021MNRAS.508..267S/abstract The rotation and average S_ph catalog can be found here: https://ui.adsabs.harvard.edu/abs/2019ApJS..244...21S/abstract https://ui.adsabs.harvard.edu/abs/2021ApJS..255...17S/abstract The machine learning algorithm for rotation, ROOSTER, is described here: https://ui.adsabs.harvard.edu/abs/2021A%26A...647A.125B/abstract</dct:description>
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