Characterizing Solar Center-to-limb Radial-velocity Variability with SDO

被引:0
|
作者
Palumbo III, Michael L. [1 ,2 ]
Saar, Steven H. [3 ]
Haywood, Raphaelle D. [4 ]
机构
[1] Penn State Univ, Dept Astron & Astrophys, Davey Lab 525, University Pk, PA 16802 USA
[2] Penn State Univ, Ctr Exoplanets & Habitable Worlds, Davey Lab 525, University Pk, PA 16802 USA
[3] Harvard & Smithsonian, Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA
[4] Univ Exeter, Astrophys Grp, Exeter EX4 2QL, Devon, England
来源
ASTROPHYSICAL JOURNAL | 2024年 / 973卷 / 01期
基金
英国科学技术设施理事会;
关键词
STELLAR SURFACE MAGNETOCONVECTION; MASS FLUX; SUN; HARPS; STAR; ASTROPY; LINE; SIGNATURES; NETWORK; PACKAGE;
D O I
10.3847/1538-4357/ad445a
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Stellar photospheric inhomogeneities are a significant source of noise, which currently precludes the discovery of Earth-mass planets orbiting Sun-like stars with the radial-velocity (RV) method. To complement several previous studies that have used ground- and spaced-based facilities to characterize the RV of the Sun, here we characterize the center-to-limb variability (CLV) of solar RVs arising from various solar-surface inhomogeneities observed by the Solar Dynamics Observatory (SDO)/Helioseismic Magnetic Imager and SDO/Atmospheric Imaging Assembly. By using various SDO observables to classify pixels and calculate line-of-sight velocities as a function of pixel classification and limb angle, we show that each identified feature type, including the umbrae and penumbrae of sunspots, quiet-Sun magnetoconvective cells, magnetic network, and plage, exhibit distinct and complex CLV signatures, including a notable limb-angle dependence in the observed suppression of convective blueshift for magnetically active regions. We discuss the observed distributions of velocities by identified region type and limb angle, offer interpretations of the physical phenomena that shape these distributions, and emphasize the need to understand the RV signatures of these regions as astrophysical signals, rather than simple (un)correlated noise processes.
引用
收藏
页数:17
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