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Ângela R. G. Santos
Institute of Astrophysics ans Space Sciences, Porto
Position
PhD student
Department
Field of research
Natural Sciences (Astrophysics and Astrononmy)
Email
asantos@astro.up.pt
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Starspot signature on the light curve: learning about the spot distribution
Natural Sciences (Astrophysics and Astrononmy)
1320 views
Date of upload:
06.09.2016
Co-author:
Margarida S. Cunha, Pedro P. Avelino, Rafael A. García, Savita Mathur
Abstract:
Starspots are cooler/darker than the stellar surface. Therefore, the total flux of a star changes when spots are visible on its surface. The presence of spots together with the stellar rotation leads to a periodic modulation on the light curve. By studying that modulation one can then learn about the stellar rotation and also magnetic activity. Recently, Reinhold & Arlt (2015) proposed a method based on the analysis of the Lomb Scargle Periodogram (LSP) of the light curve to identify the sign of the differential rotation, i.e. whether the equator rotates faster than the poles or the opposite. In this work, we study in detail the spots’ impact on the light curve and on the resulting LSP. We find that, under some conditions, the LSP can actually provide an estimate of the true spot latitudes and/or the stellar inclination angle. Moreover, we find that the impact of the spot on the ratio between the heights of the second and first harmonics of the main peaks in the LSP can be described by a single parameter, the visibility time of the spot. Finally, we also identify possible sources of false positives/negatives for the sign of the differential rotation.
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Short- and mid-term activity-related variations in the solar acoustic frequencies
Natural Sciences (Astrophysics and Astrononmy)
1601 views
Date of upload:
06.09.2016
Co-author:
Margarida S. Cunha, Pedro P. Avelino, William J. Chaplin, Tiago L. Campante
Abstract:
The activity-related variations in the solar acoustic frequencies have been known for 30 years. However, the importance of the different contributions is still not well established. With this in mind, we developed an empirical model to estimate the spot-induced frequency shifts, which takes into account the sunspot properties, such as area and latitude. The comparison between the model frequency shifts obtained from the daily sunspot records and those observed suggests that the contribution from a stochastic component to the total frequency shifts is about 30%. The remaining 70% is related to a global, long-term variation. We also propose a new observable to investigate the short- and mid-term variations of the frequency shifts, which is insensitive to the long-term variations contained in the data. On the shortest time scales the variations in the frequency shifts are strongly correlated with the variations in the total area covered by sunspots. However, a significant loss of correlation is still found, which cannot be fully explained by ignoring the invisible side of the Sun when accounting for the total sunspot area. We also verify that the times when the frequency shifts and the sunspot areas do not vary in a similar way tend to coincide with the times of the maximum amplitude of the quasi-biennial variations found in the seismic data.

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