Sensitivity kernels for time-distance helioseismology: efficient computation for spherically-symmetric solar models
Damien Fournier, Chris S. Hanson, Laurent Gizon, Helene Barucq

TL;DR
This paper introduces a fast, efficient algorithm for computing helioseismic sensitivity kernels in spherically symmetric solar models, significantly reducing computation time and enabling large-scale inversions.
Contribution
The authors develop a spherical harmonic decomposition method that speeds up kernel calculations, making large-scale helioseismic analyses more feasible.
Findings
Computation time reduced by two orders of magnitude.
Kernel calculations for meridional flow inversion take less than two hours on 100 cores.
The method maintains high accuracy while being computationally efficient.
Abstract
The interpretation of helioseismic measurements, such as wave travel-time, is based on the computation of kernels that give the sensitivity of the measurements to localized changes in the solar interior. These are computed using the ray or the Born approximation. The Born approximation is preferable as it takes finite-wavelength effects into account, but can be computationally expensive. We propose a fast algorithm to compute travel-time sensitivity kernels under the assumption that the background solar medium is spherically symmetric. Kernels are typically expressed as products of Green's functions that depend upon depth, latitude and longitude. Here, we compute the spherical harmonic decomposition of the kernels and show that the integrals in latitude and longitude can be performed analytically. In particular, the integrals of the product of three associated Legendre polynomials can…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Geophysics and Gravity Measurements · Solar Radiation and Photovoltaics
