2023
DOI: 10.3847/1538-4357/acd690
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Magnetic Activity–Rotation–Age–Mass Relations in Late-pre-main-sequence Stars

Abstract: We study the four-dimensional relationships between magnetic activity, rotation, mass, and age for solar-type stars in the age range 5–25 Myr. This is the late-pre-main-sequence (l-PMS) evolutionary phase when rapid changes in a star's interior may lead to changes in the magnetic dynamo mechanisms. We carefully derive rotational periods and spot sizes for 471 members of several l-PMS open clusters using photometric light curves from the Zwicky Transient Facility. Magnetic activity was measured in our previous … Show more

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Cited by 9 publications
(4 citation statements)
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“…The absence of evidence for long-term variability in the X-ray characteristic emission of the 1-million-year-old DQ Tau aligns with the notion that younger stars possess larger active regions and more extended X-ray coronal structures (Getman et al 2022b;Coffaro et al 2022;Getman et al 2023), which may mitigate the appearance of magnetic dynamo cycling.…”
Section: Characteristic X-ray Emissionsupporting
confidence: 66%
“…The absence of evidence for long-term variability in the X-ray characteristic emission of the 1-million-year-old DQ Tau aligns with the notion that younger stars possess larger active regions and more extended X-ray coronal structures (Getman et al 2022b;Coffaro et al 2022;Getman et al 2023), which may mitigate the appearance of magnetic dynamo cycling.…”
Section: Characteristic X-ray Emissionsupporting
confidence: 66%
“…Such a surface-area effect could appear as an especially strong correlation with L X if the sample were entirely in the "saturated" regime, with roughly constant L X /L bol . We checked the distribution of L X /L bol for our sample, finding as expected that the stars of a given mass evolve within the age range of our sample (3-500 Myr; see Section 2) from a roughly fully saturated state to a non-fully saturated state (see also, e.g., Getman et al 2023). Therefore, we performed an alternate model fit to Equation (2) with surface area in place of L, finding that the resulting scatter of L X about the model is approximately the same.…”
Section: Discussionmentioning
confidence: 52%
“…One consequence of these behaviors is that it is possible, in principle, to estimate the ages of stars by measuring the strength of their X-ray emission (e.g., Getman et al 2023) or by measuring their rotation periods (e.g., Barnes 2003), assuming well-calibrated empirical relationships between stellar rotation, X-ray luminosity, and age as functions of basic stellar properties such as mass.…”
Section: Introductionmentioning
confidence: 99%
“…It cannot be taken for granted that failure modes address all possible cases of aliasing and incorrect period detection in a LS formulation (e.g., Dawson & Fabrycky 2010). This has recently been noted in the search for spot-induced modulation in ground-based time-series data from the Zwicky Transient Facility (Getman et al 2023), which suggests particular caution using a ground-based data set as our training set. To a large degree, this is avoided in our pipeline by remeasuring groundtruth periods in the O18 data, assuming that the ground truth is a detection of rotation and not an alias.…”
Section: Training Datamentioning
confidence: 99%