They Do Change After All: 25 Years of GONG Data Reveal Variation of p-Mode Energy Supply Rates
Ren\'e Kiefer, Anne-Marie Broomhall

TL;DR
This study demonstrates that solar p-mode energy supply rates vary with the solar activity cycle, showing a strong anti-correlation with the $F_{10.7}$ index, based on analysis of two Schwabe cycles using GONG data.
Contribution
First detailed analysis of p-mode energy supply rates over solar cycles using GONG data, revealing their variation and anti-correlation with solar activity levels.
Findings
Energy supply rates are anti-correlated with solar activity.
Varying anti-correlation strength across different mode frequencies and degrees.
Provides comprehensive tables of energy supply rates for individual modes.
Abstract
It has been shown over and over again that the parameters of solar p modes vary through the solar activity cycle: frequencies, amplitudes, lifetimes, energies. However, so far, the rates at which energy is supplied to the p modes have not been detected to be sensitive to the level of magnetic activity. We set out to re-inspect their temporal behaviour over the course of the last two Schwabe cycles. For this, we use Global Oscillation Network Group (GONG) p-mode parameter tables. We analyse the energy supply rates for modes of harmonic degrees and average over the azimuthal orders and, subsequently, over modes in different parameter ranges. This averaging greatly helps in reducing the noise in the data.We find that energy supply rates are anti-correlated with the level of solar activity, for which we use the index as a proxy. Modes of different mode frequency…
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