Modeling HMI observables for the study of solar oscillations

Abstract

Context: Helioseismology aims to infer the properties of the solar interior by analyzing observations of acoustic oscillations. The interpretation of the helioseismic data is however complicated by the non-trivial relationship between helioseismic observables and the physical perturbations associated with acoustic modes, as well as by various instrumental effects. Aims: We aim to improve our understanding of the signature of acoustic modes measured in the Helioseismic and Magnetic Imager (HMI) continuum intensity and Doppler velocity observables by accounting for radiative transfer, solar background rotation, and spacecraft velocity. Methods: We start with a background model atmosphere that accurately reproduces solar limb darkening and the Fe I 6173Å spectral line profile. We employ first-order perturbation theory to model the effect of acoustic oscillations on inferred intensity and velocity. By solving the radiative transfer equation in the atmosphere, we synthesize the spectral line, convolve it with the six HMI spectral windows, and deduce continuum intensity (hmi.Ic_45s) and Doppler velocity (hmi.V_45s) according to the HMI algorithm. Results: We analytically derive the relationship between mode displacement in the atmosphere and the HMI observables, and show that both intensity and velocity deviate significantly from simple approximations. Specifically, the continuum intensity does not simply reflect the true continuum value, while the line-of-sight velocity does not correspond to a straightforward projection of the velocity at a fixed height in the atmosphere. Our results indicate that these deviations are substantial, with amplitudes of approximately 10% and phase shifts of around 10 degrees across the detector for both observables. Moreover, these effects are highly dependent on the acoustic mode under consideration and the position on the solar disk.

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Cited by in corpus (1)

• Les Trente Glorieuses: 29 years of helioseismic observations with the Luminosity Oscillations Imager