Abstract
Several studies have documented periodic and quasi-periodic signals from
the time series of dMe flare stars and other stellar sources. Such
periodic signals, observed within quiescent phases (i.e., devoid of
larger-scale microflare or flare activity), range in period from 1-1000
seconds and hence have been tentatively linked to ubiquitous p-mode
oscillations generated in the convective layers of the star. As such,
most interpretations for the observed periodicities have been framed in
terms of magneto-hydrodynamic wave behavior. However, we propose that a
series of continuous nanoflares, based upon a powerlaw distribution, can
provide a similar periodic signal in the associated synthetic time
series. Monte Carlo simulations, embodying the nanoflare signals and
modeled noise profiles, produces a time series consistent with previous
observations of dMe flare star lightcurves. Through an examination of
nanoflare decay timescales and differing powerlaw indices, we provide
evidence that periodic signals found in stellar time series can be
explained by low-energy nanoflares embedded within the noise envelope of
a stellar lightcurve. Implications for spatially-resolved solar
datasets, including those from SDO/AIA, will also be discussed.
| Original language | English |
|---|---|
| Publication status | Published - 01 Jul 2018 |
| Event | 42nd COSPAR Scientific Assembly - Pasadena Convention Center, Pasadena, United States Duration: 14 Jul 2018 → 22 Jul 2018 Conference number: 42 http://cospar2018.org/ |
Conference
| Conference | 42nd COSPAR Scientific Assembly |
|---|---|
| Abbreviated title | COSPAR-42 |
| Country/Territory | United States |
| City | Pasadena |
| Period | 14/07/2018 → 22/07/2018 |
| Internet address |
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Dive into the research topics of 'A nanoflare explanation for periodic variations in flare stars'. Together they form a unique fingerprint.Student theses
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Observations and modelling of intensity timeseries for biomedical and astrophysical applications
Dillon, C. (Author), McFetridge, L. (Supervisor) & Jess, D. (Supervisor), Dec 2022Student thesis: Doctoral Thesis › Doctor of Philosophy
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