A method for the estimation of p-mode parameters from averaged solar oscillation power spectra
J. Reiter, E.J. Rhodes Jr., A.G. Kosovichev, J. Schou, P.H. Scherrer,, T.P. Larson

TL;DR
This paper introduces the WMLTP method for accurately estimating solar p-mode parameters from averaged power spectra, improving previous techniques and enabling detailed solar interior structure analysis.
Contribution
The paper presents the WMLTP method, a novel fitting approach that enhances the estimation of solar oscillation mode parameters across various spectral resolutions.
Findings
Improved mode parameter estimation accuracy.
Detected deviations in solar interior sound speed during Solar Cycle 24.
Developed a new outlier correction procedure for frequency data.
Abstract
A new fitting methodology is presented which is equally well suited for the estimation of low-, medium-, and high-degree mode parameters from -averaged solar oscillation power spectra of widely differing spectral resolution. This method, which we call the "Windowed, MuLTiple-Peak, averaged spectrum", or WMLTP Method, constructs a theoretical profile by convolving the weighted sum of the profiles of the modes appearing in the fitting box with the power spectrum of the window function of the observing run using weights from a leakage matrix that takes into account both observational and physical effects, such as the distortion of modes by solar latitudinal differential rotation. We demonstrate that the WMLTP Method makes substantial improvements in the inferences of the properties of the solar oscillations in comparison with a previous method that employed a single profile to represent…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
